diff --git a/CHANGELOG.md b/CHANGELOG.md
index 0a92f9e..0ee328c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,17 +1,16 @@
 # dbt_google_ads v0.10.0
-[PR #52](https://github.com/fivetran/dbt_google_ads/pull/52) includes the following updates:
-## Feature update 🎉
-- Unioning capability! This adds the ability to union source data from multiple google_ads connectors. Refer to the [README](https://github.com/fivetran/dbt_google_ads/blob/main/README.md) for more details.
-
-## Under the hood 🚘
-- In the source package, updated tmp models to union source data using the `fivetran_utils.union_data` macro. 
-- To distinguish which source each field comes from, added `source_relation` column in each staging and downstream model and applied the `fivetran_utils.source_relation` macro.
-- Updated tests to account for the new `source_relation` column.
-    - The `source_relation` column is included in all joins in the transform package. 
+## Dependency Updates
+- Removes the dependency on `dbt-expectations`. Upstream we specifically removed the `dbt_expectations.expect_column_values_to_not_match_regex_list` test. ([PR #60](https://github.com/fivetran/dbt_google_ads/pull/60)) 
 
-[PR #58](https://github.com/fivetran/dbt_google_ads/pull/58) includes the following updates:
-## Under the Hood:
-- Updates the [DECISIONLOG](DECISIONLOG.md) to clarify why there exist differences among aggregations across different grains.
+## Feature Update 🎉
+- Unioning capability! This adds the ability to union source data from multiple google_ads connectors. Refer to the [README](https://github.com/fivetran/dbt_google_ads/blob/main/README.md) for more details. ([PR #52](https://github.com/fivetran/dbt_google_ads/pull/52))
+
+## Under the Hood 🚘
+- In the source package, updated tmp models to union source data using the `fivetran_utils.union_data` macro. ([PR #52](https://github.com/fivetran/dbt_google_ads/pull/52))
+- To distinguish which source each field comes from, added `source_relation` column in each staging and downstream model and applied the `fivetran_utils.source_relation` macro. ([PR #52](https://github.com/fivetran/dbt_google_ads/pull/52))
+- Updated tests to account for the new `source_relation` column. ([PR #52](https://github.com/fivetran/dbt_google_ads/pull/52))
+    - The `source_relation` column is included in all joins in the transform package. 
+- Updates the [DECISIONLOG](DECISIONLOG.md) to clarify why there exist differences among aggregations across different grains. ([PR #58](https://github.com/fivetran/dbt_google_ads/pull/58))
 
 # dbt_google_ads v0.9.3
 [PR #57](https://github.com/fivetran/dbt_google_ads/pull/57) includes the following updates:
diff --git a/README.md b/README.md
index 9031b04..3acd2c4 100644
--- a/README.md
+++ b/README.md
@@ -39,14 +39,11 @@ To use this dbt package, you must have the following:
 - A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.
 
 ### Databricks Dispatch Configuration
-If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` as well as the `calogica/dbt_expectations` then the `google_ads_source` packages respectively.
+If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils`.
 ```yml
 dispatch:
   - macro_namespace: dbt_utils
     search_order: ['spark_utils', 'dbt_utils']
-
-  - macro_namespace: dbt_expectations
-    search_order: ['google_ads_source', 'dbt_expectations']
 ```
 
 ## Step 2: Install the package
@@ -159,12 +156,6 @@ packages:
 
     - package: dbt-labs/spark_utils
       version: [">=0.3.0", "<0.4.0"]
-
-    - package: calogica/dbt_expectations
-      version: [">=0.8.0", "<0.9.0"]
-
-    - package: calogica/dbt_date
-      version: [">=0.7.0", "<0.8.0"]
 ```
 # 🙌 How is this package maintained and can I contribute?
 ## Package Maintenance
diff --git a/docs/catalog.json b/docs/catalog.json
index 55c8f4e..7427e30 100644
--- a/docs/catalog.json
+++ b/docs/catalog.json
@@ -1 +1 @@
-{"metadata": {"dbt_schema_version": "https://schemas.getdbt.com/dbt/catalog/v1.json", "dbt_version": "1.5.6", "generated_at": "2023-09-01T19:20:01.468484Z", "invocation_id": "5e8397ec-ed9a-41b5-9a07-26c2755d70a7", "env": {}}, "nodes": {"seed.google_ads_integration_tests.account_history_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "account_history_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"id": {"type": "bigint", "index": 1, "name": "id", "comment": null}, "updated_at": {"type": "timestamp without time zone", "index": 2, "name": "updated_at", "comment": null}, "_fivetran_synced": {"type": "timestamp without time zone", "index": 3, "name": "_fivetran_synced", "comment": null}, "auto_tagging_enabled": {"type": "boolean", "index": 4, "name": "auto_tagging_enabled", "comment": null}, "currency_code": {"type": "text", "index": 5, "name": "currency_code", "comment": null}, "descriptive_name": {"type": "integer", "index": 6, "name": "descriptive_name", "comment": null}, "final_url_suffix": {"type": "boolean", "index": 7, "name": "final_url_suffix", "comment": null}, "hidden": {"type": "boolean", "index": 8, "name": "hidden", "comment": null}, "manager": {"type": "integer", "index": 9, "name": "manager", "comment": null}, "manager_customer_id": {"type": "double precision", "index": 10, "name": "manager_customer_id", "comment": null}, "optimization_score": {"type": "text", "index": 11, "name": "optimization_score", "comment": null}, "pay_per_conversion_eligibility_failure_reasons": {"type": "boolean", "index": 12, "name": "pay_per_conversion_eligibility_failure_reasons", "comment": null}, "test_account": {"type": "text", "index": 13, "name": "test_account", "comment": null}, "time_zone": {"type": "integer", "index": 14, "name": "time_zone", "comment": null}, "tracking_url_template": {"type": "integer", "index": 15, "name": "tracking_url_template", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.account_history_data"}, "seed.google_ads_integration_tests.account_stats_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "account_stats_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"_fivetran_id": {"type": "text", "index": 1, "name": "_fivetran_id", "comment": null}, "customer_id": {"type": "bigint", "index": 2, "name": "customer_id", "comment": null}, "date": {"type": "date", "index": 3, "name": "date", "comment": null}, "_fivetran_synced": {"type": "timestamp without time zone", "index": 4, "name": "_fivetran_synced", "comment": null}, "active_view_impressions": {"type": "integer", "index": 5, "name": "active_view_impressions", "comment": null}, "active_view_measurability": {"type": "integer", "index": 6, "name": "active_view_measurability", "comment": null}, "active_view_measurable_cost_micros": {"type": "integer", "index": 7, "name": "active_view_measurable_cost_micros", "comment": null}, "active_view_measurable_impressions": {"type": "integer", "index": 8, "name": "active_view_measurable_impressions", "comment": null}, "active_view_viewability": {"type": "integer", "index": 9, "name": "active_view_viewability", "comment": null}, "ad_network_type": {"type": "text", "index": 10, "name": "ad_network_type", "comment": null}, "clicks": {"type": "integer", "index": 11, "name": "clicks", "comment": null}, "conversions": {"type": "integer", "index": 12, "name": "conversions", "comment": null}, "conversions_value": {"type": "integer", "index": 13, "name": "conversions_value", "comment": null}, "cost_micros": {"type": "integer", "index": 14, "name": "cost_micros", "comment": null}, "device": {"type": "text", "index": 15, "name": "device", "comment": null}, "impressions": {"type": "integer", "index": 16, "name": "impressions", "comment": null}, "interaction_event_types": {"type": "text", "index": 17, "name": "interaction_event_types", "comment": null}, "interactions": {"type": "integer", "index": 18, "name": "interactions", "comment": null}, "view_through_conversions": {"type": "integer", "index": 19, "name": "view_through_conversions", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.account_stats_data"}, "seed.google_ads_integration_tests.ad_group_criterion_history_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "ad_group_criterion_history_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"id": {"type": "bigint", "index": 1, "name": "id", "comment": null}, "ad_group_id": {"type": "bigint", "index": 2, "name": "ad_group_id", "comment": null}, "base_campaign_id": {"type": "bigint", "index": 3, "name": "base_campaign_id", "comment": null}, "updated_at": {"type": "timestamp without time zone", "index": 4, "name": "updated_at", "comment": null}, "_fivetran_synced": {"type": "timestamp without time zone", "index": 5, "name": "_fivetran_synced", "comment": null}, "type": {"type": "text", "index": 6, "name": "type", "comment": null}, "status": {"type": "text", "index": 7, "name": "status", "comment": null}, "keyword_match_type": {"type": "text", "index": 8, "name": "keyword_match_type", "comment": null}, "keyword_text": {"type": "text", "index": 9, "name": "keyword_text", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.ad_group_criterion_history_data"}, "seed.google_ads_integration_tests.ad_group_history_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "ad_group_history_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"id": {"type": "bigint", "index": 1, "name": "id", "comment": null}, "updated_at": {"type": "timestamp without time zone", "index": 2, "name": "updated_at", "comment": null}, "type": {"type": "text", "index": 3, "name": "type", "comment": null}, "campaign_id": {"type": "bigint", "index": 4, "name": "campaign_id", "comment": null}, "campaign_name": {"type": "text", "index": 5, "name": "campaign_name", "comment": null}, "name": {"type": "text", "index": 6, "name": "name", "comment": null}, "status": {"type": "text", "index": 7, "name": "status", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.ad_group_history_data"}, "seed.google_ads_integration_tests.ad_group_stats_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "ad_group_stats_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"_fivetran_id": {"type": "text", "index": 1, "name": "_fivetran_id", "comment": null}, "customer_id": {"type": "bigint", "index": 2, "name": "customer_id", "comment": null}, "date": {"type": "date", "index": 3, "name": "date", "comment": null}, "_fivetran_synced": {"type": "timestamp without time zone", "index": 4, "name": "_fivetran_synced", "comment": null}, "active_view_impressions": {"type": "integer", "index": 5, "name": "active_view_impressions", "comment": null}, "active_view_measurability": {"type": "integer", "index": 6, "name": "active_view_measurability", "comment": null}, "active_view_measurable_cost_micros": {"type": "integer", "index": 7, "name": "active_view_measurable_cost_micros", "comment": null}, "active_view_measurable_impressions": {"type": "integer", "index": 8, "name": "active_view_measurable_impressions", "comment": null}, "active_view_viewability": {"type": "integer", "index": 9, "name": "active_view_viewability", "comment": null}, "ad_network_type": {"type": "text", "index": 10, "name": "ad_network_type", "comment": null}, "base_ad_group": {"type": "text", "index": 11, "name": "base_ad_group", "comment": null}, "campaign_base_campaign": {"type": "text", "index": 12, "name": "campaign_base_campaign", "comment": null}, "campaign_id": {"type": "bigint", "index": 13, "name": "campaign_id", "comment": null}, "clicks": {"type": "integer", "index": 14, "name": "clicks", "comment": null}, "conversions": {"type": "double precision", "index": 15, "name": "conversions", "comment": null}, "conversions_value": {"type": "integer", "index": 16, "name": "conversions_value", "comment": null}, "cost_micros": {"type": "integer", "index": 17, "name": "cost_micros", "comment": null}, "device": {"type": "text", "index": 18, "name": "device", "comment": null}, "id": {"type": "bigint", "index": 19, "name": "id", "comment": null}, "impressions": {"type": "integer", "index": 20, "name": "impressions", "comment": null}, "interaction_event_types": {"type": "text", "index": 21, "name": "interaction_event_types", "comment": null}, "interactions": {"type": "integer", "index": 22, "name": "interactions", "comment": null}, "view_through_conversions": {"type": "integer", "index": 23, "name": "view_through_conversions", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.ad_group_stats_data"}, "seed.google_ads_integration_tests.ad_history_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "ad_history_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"ad_group_id": {"type": "bigint", "index": 1, "name": "ad_group_id", "comment": null}, "id": {"type": "bigint", "index": 2, "name": "id", "comment": null}, "name": {"type": "integer", "index": 3, "name": "name", "comment": null}, "updated_at": {"type": "timestamp without time zone", "index": 4, "name": "updated_at", "comment": null}, "type": {"type": "integer", "index": 5, "name": "type", "comment": null}, "status": {"type": "text", "index": 6, "name": "status", "comment": null}, "display_url": {"type": "integer", "index": 7, "name": "display_url", "comment": null}, "final_urls": {"type": "text", "index": 8, "name": "final_urls", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.ad_history_data"}, "seed.google_ads_integration_tests.ad_stats_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "ad_stats_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"customer_id": {"type": "bigint", "index": 1, "name": "customer_id", "comment": null}, "date": {"type": "date", "index": 2, "name": "date", "comment": null}, "ad_group_id": {"type": "bigint", "index": 3, "name": "ad_group_id", "comment": null}, "ad_group": {"type": "text", "index": 4, "name": "ad_group", "comment": null}, "keyword_ad_group_criterion": {"type": "text", "index": 5, "name": "keyword_ad_group_criterion", "comment": null}, "ad_network_type": {"type": "text", "index": 6, "name": "ad_network_type", "comment": null}, "device": {"type": "text", "index": 7, "name": "device", "comment": null}, "ad_id": {"type": "bigint", "index": 8, "name": "ad_id", "comment": null}, "campaign_id": {"type": "bigint", "index": 9, "name": "campaign_id", "comment": null}, "clicks": {"type": "integer", "index": 10, "name": "clicks", "comment": null}, "cost_micros": {"type": "integer", "index": 11, "name": "cost_micros", "comment": null}, "impressions": {"type": "integer", "index": 12, "name": "impressions", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.ad_stats_data"}, "seed.google_ads_integration_tests.campaign_history_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "campaign_history_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"id": {"type": "bigint", "index": 1, "name": "id", "comment": null}, "updated_at": {"type": "timestamp without time zone", "index": 2, "name": "updated_at", "comment": null}, "name": {"type": "text", "index": 3, "name": "name", "comment": null}, "customer_id": {"type": "bigint", "index": 4, "name": "customer_id", "comment": null}, "advertising_channel_type": {"type": "text", "index": 5, "name": "advertising_channel_type", "comment": null}, "advertising_channel_subtype": {"type": "text", "index": 6, "name": "advertising_channel_subtype", "comment": null}, "start_date": {"type": "date", "index": 7, "name": "start_date", "comment": null}, "end_date": {"type": "date", "index": 8, "name": "end_date", "comment": null}, "serving_status": {"type": "text", "index": 9, "name": "serving_status", "comment": null}, "status": {"type": "text", "index": 10, "name": "status", "comment": null}, "tracking_url_template": {"type": "integer", "index": 11, "name": "tracking_url_template", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.campaign_history_data"}, "seed.google_ads_integration_tests.campaign_stats_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "campaign_stats_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"_fivetran_id": {"type": "text", "index": 1, "name": "_fivetran_id", "comment": null}, "customer_id": {"type": "bigint", "index": 2, "name": "customer_id", "comment": null}, "date": {"type": "date", "index": 3, "name": "date", "comment": null}, "_fivetran_synced": {"type": "timestamp without time zone", "index": 4, "name": "_fivetran_synced", "comment": null}, "active_view_impressions": {"type": "integer", "index": 5, "name": "active_view_impressions", "comment": null}, "active_view_measurability": {"type": "integer", "index": 6, "name": "active_view_measurability", "comment": null}, "active_view_measurable_cost_micros": {"type": "integer", "index": 7, "name": "active_view_measurable_cost_micros", "comment": null}, "active_view_measurable_impressions": {"type": "integer", "index": 8, "name": "active_view_measurable_impressions", "comment": null}, "active_view_viewability": {"type": "integer", "index": 9, "name": "active_view_viewability", "comment": null}, "ad_network_type": {"type": "text", "index": 10, "name": "ad_network_type", "comment": null}, "base_campaign": {"type": "text", "index": 11, "name": "base_campaign", "comment": null}, "clicks": {"type": "integer", "index": 12, "name": "clicks", "comment": null}, "conversions": {"type": "integer", "index": 13, "name": "conversions", "comment": null}, "conversions_value": {"type": "integer", "index": 14, "name": "conversions_value", "comment": null}, "cost_micros": {"type": "integer", "index": 15, "name": "cost_micros", "comment": null}, "device": {"type": "text", "index": 16, "name": "device", "comment": null}, "id": {"type": "bigint", "index": 17, "name": "id", "comment": null}, "impressions": {"type": "integer", "index": 18, "name": "impressions", "comment": null}, "interaction_event_types": {"type": "text", "index": 19, "name": "interaction_event_types", "comment": null}, "interactions": {"type": "integer", "index": 20, "name": "interactions", "comment": null}, "view_through_conversions": {"type": "integer", "index": 21, "name": "view_through_conversions", "comment": null}}, "stats": {"has_stats": {"id": "has_stats", "label": "Has Stats?", "value": false, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.google_ads_integration_tests.campaign_stats_data"}, "seed.google_ads_integration_tests.keyword_stats_data": {"metadata": {"type": "BASE TABLE", "schema": "google_ads_integration_tests_31", "name": "keyword_stats_data", "database": "postgres", "comment": null, "owner": "pguser"}, "columns": {"_fivetran_id": {"type": "text", "index": 1, "name": "_fivetran_id", "comment": null}, "customer_id": {"type": "bigint", "index": 2, "name": "customer_id", 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this._registeredHooks[e]},e.prototype.applyViewConfigs=function(e){var t=this._treeChanges.entering.map((function(e){return e.state}));p.a.applyViewConfigs(e.transitionService.$view,this._treeChanges.to,t)},e.prototype.$from=function(){return Object(a.P)(this._treeChanges.from).state},e.prototype.$to=function(){return Object(a.P)(this._treeChanges.to).state},e.prototype.from=function(){return this.$from().self},e.prototype.to=function(){return this.$to().self},e.prototype.targetState=function(){return this._targetState},e.prototype.is=function(t){return t instanceof e?this.is({to:t.$to().name,from:t.$from().name}):!(t.to&&!Object(d.c)(this.$to(),t.to,this)||t.from&&!Object(d.c)(this.$from(),t.from,this))},e.prototype.params=function(e){return void 0===e&&(e="to"),Object.freeze(this._treeChanges[e].map(Object(l.n)("paramValues")).reduce(a.D,{}))},e.prototype.paramsChanged=function(){var e=this.params("from"),t=this.params("to"),n=[].concat(this._treeChanges.to).concat(this._treeChanges.from).map((function(e){return e.paramSchema})).reduce(b.G,[]).reduce(b.Pb,[]);return h.b.changed(n,e,t).reduce((function(e,n){return e[n.id]=t[n.id],e}),{})},e.prototype.injector=function(e,t){void 0===t&&(t="to");var n=this._treeChanges[t];return e&&(n=p.a.subPath(n,(function(t){return t.state===e||t.state.name===e}))),new m.b(n).injector()},e.prototype.getResolveTokens=function(e){return void 0===e&&(e="to"),new m.b(this._treeChanges[e]).getTokens()},e.prototype.addResolvable=function(e,t){void 0===t&&(t=""),e=Object(l.h)(g.a)(e)?e:new g.a(e);var n="string"==typeof t?t:t.name,r=this._treeChanges.to,i=Object(a.t)(r,(function(e){return e.state.name===n}));new m.b(r).addResolvables([e],i.state)},e.prototype.redirectedFrom=function(){return this._options.redirectedFrom||null},e.prototype.originalTransition=function(){var e=this.redirectedFrom();return e&&e.originalTransition()||this},e.prototype.options=function(){return this._options},e.prototype.entering=function(){return Object(a.B)(this._treeChanges.entering,Object(l.n)("state")).map(y)},e.prototype.exiting=function(){return Object(a.B)(this._treeChanges.exiting,Object(l.n)("state")).map(y).reverse()},e.prototype.retained=function(){return Object(a.B)(this._treeChanges.retained,Object(l.n)("state")).map(y)},e.prototype.views=function(e,t){void 0===e&&(e="entering");var n=this._treeChanges[e];return(n=t?n.filter(Object(l.o)("state",t)):n).map(Object(l.n)("views")).filter(a.y).reduce(a.T,[])},e.prototype.treeChanges=function(e){return e?this._treeChanges[e]:this._treeChanges},e.prototype.redirect=function(e){for(var t=1,n=this;null!=(n=n.redirectedFrom());)if(++t>20)throw new Error("Too many consecutive Transition redirects (20+)");var r={redirectedFrom:this,source:"redirect"};"url"===this.options().source&&!1!==e.options().location&&(r.location="replace");var i=Object(a.r)({},this.options(),e.options(),r);e=e.withOptions(i,!0);var o,s=this.router.transitionService.create(this._treeChanges.from,e),c=this._treeChanges.entering,u=s._treeChanges.entering;return p.a.matching(u,c,p.a.nonDynamicParams).filter(Object(l.i)((o=e.options().reloadState,function(e){return o&&e.state.includes[o.name]}))).forEach((function(e,t){e.resolvables=c[t].resolvables})),s},e.prototype._changedParams=function(){var e=this._treeChanges;if(!this._options.reload&&(!e.exiting.length&&!e.entering.length&&e.to.length===e.from.length&&!Object(a.i)(e.to,e.from).map((function(e){return e[0].state!==e[1].state})).reduce(a.g,!1))){var t=e.to.map((function(e){return e.paramSchema})),n=[e.to,e.from].map((function(e){return e.map((function(e){return e.paramValues}))})),r=n[0],i=n[1];return Object(a.i)(t,r,i).map((function(e){var t=e[0],n=e[1],r=e[2];return h.b.changed(t,n,r)})).reduce(a.T,[])}},e.prototype.dynamic=function(){var e=this._changedParams();return!!e&&e.map((function(e){return e.dynamic})).reduce(a.g,!1)},e.prototype.ignored=function(){return!!this._ignoredReason()},e.prototype._ignoredReason=function(){var e=this.router.globals.transition,t=this._options.reloadState,n=function(e,n){if(e.length!==n.length)return!1;var r=p.a.matching(e,n);return e.length===r.filter((function(e){return!t||!e.state.includes[t.name]})).length},r=this.treeChanges(),i=e&&e.treeChanges();return i&&n(i.to,r.to)&&n(i.exiting,r.exiting)?"SameAsPending":0===r.exiting.length&&0===r.entering.length&&n(r.from,r.to)?"SameAsCurrent":void 0},e.prototype.run=function(){var e=this,t=u.a.runAllHooks,n=function(t){return e._hookBuilder.buildHooksForPhase(t)},o=n(c.a.BEFORE);return u.a.invokeHooks(o,(function(){var t=e.router.globals;return t.lastStartedTransitionId=e.$id,t.transition=e,t.transitionHistory.enqueue(e),r.c.traceTransitionStart(e),i.b.$q.when(void 0)})).then((function(){var e=n(c.a.RUN);return u.a.invokeHooks(e,(function(){return i.b.$q.when(void 0)}))})).then((function(){r.c.traceSuccess(e.$to(),e),e.success=!0,e._deferred.resolve(e.to()),t(n(c.a.SUCCESS))}),(function(i){r.c.traceError(i,e),e.success=!1,e._deferred.reject(i),e._error=i,t(n(c.a.ERROR))})),this.promise},e.prototype.valid=function(){return!this.error()||void 0!==this.success},e.prototype.abort=function(){Object(s.m)(this.success)&&(this._aborted=!0)},e.prototype.error=function(){var e=this.$to();if(e.self.abstract)return v.b.invalid("Cannot transition to abstract state '"+e.name+"'");var t=e.parameters(),n=this.params(),r=t.filter((function(e){return!e.validates(n[e.id])}));if(r.length){var i=r.map((function(e){return"["+e.id+":"+Object(o.m)(n[e.id])+"]"})).join(", "),a="The following parameter values are not valid for state '"+e.name+"': "+i;return v.b.invalid(a)}return!1===this.success?this._error:void 0},e.prototype.toString=function(){var e=this.from(),t=this.to(),n=function(e){return null!==e["#"]&&void 0!==e["#"]?e:Object(a.F)(e,["#"])};return"Transition#"+this.$id+"( '"+(Object(s.i)(e)?e.name:e)+"'"+Object(o.m)(n(this._treeChanges.from.map(Object(l.n)("paramValues")).reduce(a.D,{})))+" -> "+(this.valid()?"":"(X) ")+"'"+(Object(s.i)(t)?t.name:t)+"'"+Object(o.m)(n(this.params()))+" )"},e.diToken=e,e}()},function(e,t,n){"use strict";n.d(t,"b",(function(){return l})),n.d(t,"a",(function(){return c}));var r=n(30),i=n(1),o=n(0),a=n(3),s=n(44),l=function(){function e(e){this.router=e}return e.prototype.compile=function(e){return this.router.urlMatcherFactory.compile(e)},e.prototype.create=function(e,t){var n=this,o=s.a.isState,l=s.a.isStateDeclaration,u=Object(a.l)([[i.l,function(e){return u(n.compile(e))}],[Object(a.h)(r.a),function(e){return n.fromUrlMatcher(e,t)}],[Object(a.j)(o,l),function(e){return n.fromState(e,n.router)}],[Object(a.h)(RegExp),function(e){return n.fromRegExp(e,t)}],[i.d,function(e){return new c(e,t)}]]),d=u(e);if(!d)throw new Error("invalid 'what' in when()");return d},e.prototype.fromUrlMatcher=function(e,t){var n=t;Object(i.l)(t)&&(t=this.router.urlMatcherFactory.compile(t)),Object(a.h)(r.a)(t)&&(n=function(e){return t.format(e)});var s={urlMatcher:e,matchPriority:function(t){var n=e.parameters().filter((function(e){return e.isOptional}));return n.length?n.filter((function(e){return t[e.id]})).length/n.length:1e-6},type:"URLMATCHER"};return Object(o.r)(new c((function(t){var n=e.exec(t.path,t.search,t.hash);return e.validates(n)&&n}),n),s)},e.prototype.fromState=function(e,t){var n=s.a.isStateDeclaration(e)?e.$$state():e,r={state:n,type:"STATE"};return Object(o.r)(this.fromUrlMatcher(n.url,(function(e){var r=t.stateService,i=t.globals;r.href(n,e)!==r.href(i.current,i.params)&&r.transitionTo(n,e,{inherit:!0,source:"url"})})),r)},e.prototype.fromRegExp=function(e,t){if(e.global||e.sticky)throw new Error("Rule RegExp must not be global or sticky");var n=Object(i.l)(t)?function(e){return t.replace(/\$(\$|\d{1,2})/,(function(t,n){return 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new Error("State '"+e.name+"' has a 'views' object. It cannot also have \"view properties\" at the state level.  Move the following properties into a view (in the 'views' object):  "+i.filter((function(t){return Object(r.isDefined)(e[t])})).join(", "));var a={},s=e.views||{$default:Object(r.pick)(e,i)};return Object(r.forEach)(s,(function(i,s){if(s=s||"$default",Object(r.isString)(i)&&(i={component:i}),i=Object(r.extend)({},i),o(t,i)&&o(n,i))throw new Error("Cannot combine: "+t.join("|")+" with: "+n.join("|")+" in stateview: '"+s+"@"+e.name+"'");i.resolveAs=i.resolveAs||"$resolve",i.$type="ng1",i.$context=e,i.$name=s;var l=r.ViewService.normalizeUIViewTarget(i.$context,i.$name);i.$uiViewName=l.uiViewName,i.$uiViewContextAnchor=l.uiViewContextAnchor,a[s]=i})),a}var s=0,l=function(){function e(e,t,n){var r=this;this.path=e,this.viewDecl=t,this.factory=n,this.$id=s++,this.loaded=!1,this.getTemplate=function(e,t){return r.component?r.factory.makeComponentTemplate(e,t,r.component,r.viewDecl.bindings):r.template}}return e.prototype.load=function(){var e=this,t=r.services.$q,n=new r.ResolveContext(this.path),i=this.path.reduce((function(e,t){return Object(r.extend)(e,t.paramValues)}),{}),o={template:t.when(this.factory.fromConfig(this.viewDecl,i,n)),controller:t.when(this.getController(n))};return t.all(o).then((function(t){return r.trace.traceViewServiceEvent("Loaded",e),e.controller=t.controller,Object(r.extend)(e,t.template),e}))},e.prototype.getController=function(e){var t=this.viewDecl.controllerProvider;if(!Object(r.isInjectable)(t))return this.viewDecl.controller;var n=r.services.$injector.annotate(t),i=Object(r.isArray)(t)?Object(r.tail)(t):t;return new r.Resolvable("",i,n).get(e)},e}()},function(e,t,n){"use strict";n.d(t,"b",(function(){return z})),n.d(t,"a",(function(){return L}));var r=n(14),i=n(53),o=n(45),a=n(99),s=n(38),l=n(4);function c(e){e.addResolvable(s.b.fromData(a.a,e.router),""),e.addResolvable(s.b.fromData(i.a,e),""),e.addResolvable(s.b.fromData("$transition$",e),""),e.addResolvable(s.b.fromData("$stateParams",e.params()),""),e.entering().forEach((function(t){e.addResolvable(s.b.fromData("$state$",t),t)}))}var u=["$transition$",i.a],d=Object(l.N)(u),f=function(e){var t=Object(l.Tb)(e.treeChanges()).reduce(l.Rb,[]).reduce(l.Pb,[]),n=function(e){return d(e.token)?s.b.fromData(e.token,null):e};t.forEach((function(e){e.resolvables=e.resolvables.map(n)}))},p=n(1),h=n(6),g=n(24),m=function(e){var t=e.to().redirectTo;if(t){var n=e.router.stateService;return Object(p.d)(t)?h.b.$q.when(t(e)).then(r):r(t)}function r(t){if(t)return t instanceof g.a?t:Object(p.l)(t)?n.target(t,e.params(),e.options()):t.state||t.params?n.target(t.state||e.to(),t.params||e.params(),e.options()):void 0}};function v(e){return function(t,n){return(0,n.$$state()[e])(t,n)}}var b=v("onExit"),y=v("onRetain"),x=v("onEnter"),w=n(0),k=n(25),A=n(3),E=function(e){return new k.b(e.treeChanges().to).resolvePath("EAGER",e).then(w.E)},S=function(e,t){return new k.b(e.treeChanges().to).subContext(t.$$state()).resolvePath("LAZY",e).then(w.E)},$=function(e){return new k.b(e.treeChanges().to).resolvePath("LAZY",e).then(w.E)},C=function(e){var t=h.b.$q,n=e.views("entering");if(n.length)return t.all(n.map((function(e){return t.when(e.load())}))).then(w.E)},_=function(e){var t=e.views("entering"),n=e.views("exiting");if(t.length||n.length){var r=e.router.viewService;n.forEach((function(e){return r.deactivateViewConfig(e)})),t.forEach((function(e){return r.activateViewConfig(e)})),r.sync()}},O=function(e){var t=e.router.globals,n=function(){t.transition===e&&(t.transition=null)};e.onSuccess({},(function(){t.successfulTransitions.enqueue(e),t.$current=e.$to(),t.current=t.$current.self,Object(w.m)(e.params(),t.params)}),{priority:1e4}),e.promise.then(n,n)},j=function(e){var t=e.options(),n=e.router.stateService,r=e.router.urlRouter;if("url"!==t.source&&t.location&&n.$current.navigable){var i={replace:"replace"===t.location};r.push(n.$current.navigable.url,n.params,i)}r.update(!0)},T=n(115),P=n(107),D=n(17),R=n(10),I=n(8);function N(e){var t=e._ignoredReason();if(t){R.c.traceTransitionIgnored(e);var n=e.router.globals.transition;return"SameAsCurrent"===t&&n&&n.abort(),I.b.ignored().toPromise()}}function M(e){if(!e.valid())throw new Error(e.error().toString())}var z={location:!0,relative:null,inherit:!1,notify:!0,reload:!1,supercede:!0,custom:{},current:function(){return null},source:"unknown"},L=function(){function e(e){this._transitionCount=0,this._eventTypes=[],this._registeredHooks={},this._criteriaPaths={},this._router=e,this.$view=e.viewService,this._deregisterHookFns={},this._pluginapi=Object(w.n)(Object(A.p)(this),{},Object(A.p)(this),["_definePathType","_defineEvent","_getPathTypes","_getEvents","getHooks"]),this._defineCorePaths(),this._defineCoreEvents(),this._registerCoreTransitionHooks(),e.globals.successfulTransitions.onEvict(f)}return e.prototype.onCreate=function(e,t,n){},e.prototype.onBefore=function(e,t,n){},e.prototype.onStart=function(e,t,n){},e.prototype.onExit=function(e,t,n){},e.prototype.onRetain=function(e,t,n){},e.prototype.onEnter=function(e,t,n){},e.prototype.onFinish=function(e,t,n){},e.prototype.onSuccess=function(e,t,n){},e.prototype.onError=function(e,t,n){},e.prototype.dispose=function(e){Object(w.U)(this._registeredHooks).forEach((function(e){return e.forEach((function(t){t._deregistered=!0,Object(w.L)(e,t)}))}))},e.prototype.create=function(e,t){return new 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e&&e.originalTransition()||this},e.prototype.options=function(){return this._options},e.prototype.entering=function(){return Object(a.B)(this._treeChanges.entering,Object(l.n)("state")).map(y)},e.prototype.exiting=function(){return Object(a.B)(this._treeChanges.exiting,Object(l.n)("state")).map(y).reverse()},e.prototype.retained=function(){return Object(a.B)(this._treeChanges.retained,Object(l.n)("state")).map(y)},e.prototype.views=function(e,t){void 0===e&&(e="entering");var n=this._treeChanges[e];return(n=t?n.filter(Object(l.o)("state",t)):n).map(Object(l.n)("views")).filter(a.y).reduce(a.T,[])},e.prototype.treeChanges=function(e){return e?this._treeChanges[e]:this._treeChanges},e.prototype.redirect=function(e){for(var t=1,n=this;null!=(n=n.redirectedFrom());)if(++t>20)throw new Error("Too many consecutive Transition redirects (20+)");var r={redirectedFrom:this,source:"redirect"};"url"===this.options().source&&!1!==e.options().location&&(r.location="replace");var i=Object(a.r)({},this.options(),e.options(),r);e=e.withOptions(i,!0);var o,s=this.router.transitionService.create(this._treeChanges.from,e),c=this._treeChanges.entering,u=s._treeChanges.entering;return f.a.matching(u,c,f.a.nonDynamicParams).filter(Object(l.i)((o=e.options().reloadState,function(e){return o&&e.state.includes[o.name]}))).forEach((function(e,t){e.resolvables=c[t].resolvables})),s},e.prototype._changedParams=function(){var e=this._treeChanges;if(!this._options.reload&&(!e.exiting.length&&!e.entering.length&&e.to.length===e.from.length&&!Object(a.i)(e.to,e.from).map((function(e){return e[0].state!==e[1].state})).reduce(a.g,!1))){var t=e.to.map((function(e){return e.paramSchema})),n=[e.to,e.from].map((function(e){return e.map((function(e){return e.paramValues}))})),r=n[0],i=n[1];return Object(a.i)(t,r,i).map((function(e){var t=e[0],n=e[1],r=e[2];return h.b.changed(t,n,r)})).reduce(a.T,[])}},e.prototype.dynamic=function(){var e=this._changedParams();return!!e&&e.map((function(e){return e.dynamic})).reduce(a.g,!1)},e.prototype.ignored=function(){return!!this._ignoredReason()},e.prototype._ignoredReason=function(){var e=this.router.globals.transition,t=this._options.reloadState,n=function(e,n){if(e.length!==n.length)return!1;var r=f.a.matching(e,n);return e.length===r.filter((function(e){return!t||!e.state.includes[t.name]})).length},r=this.treeChanges(),i=e&&e.treeChanges();return i&&n(i.to,r.to)&&n(i.exiting,r.exiting)?"SameAsPending":0===r.exiting.length&&0===r.entering.length&&n(r.from,r.to)?"SameAsCurrent":void 0},e.prototype.run=function(){var e=this,t=u.a.runAllHooks,n=function(t){return e._hookBuilder.buildHooksForPhase(t)},o=n(c.a.BEFORE);return u.a.invokeHooks(o,(function(){var t=e.router.globals;return t.lastStartedTransitionId=e.$id,t.transition=e,t.transitionHistory.enqueue(e),r.c.traceTransitionStart(e),i.b.$q.when(void 0)})).then((function(){var e=n(c.a.RUN);return 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t=e.options(),n=e.router.stateService,r=e.router.urlRouter;if("url"!==t.source&&t.location&&n.$current.navigable){var i={replace:"replace"===t.location};r.push(n.$current.navigable.url,n.params,i)}r.update(!0)},j=n(115),P=n(107),D=n(17),R=n(10),I=n(8);function N(e){var t=e._ignoredReason();if(t){R.c.traceTransitionIgnored(e);var n=e.router.globals.transition;return"SameAsCurrent"===t&&n&&n.abort(),I.b.ignored().toPromise()}}function M(e){if(!e.valid())throw new Error(e.error().toString())}var z={location:!0,relative:null,inherit:!1,notify:!0,reload:!1,supercede:!0,custom:{},current:function(){return null},source:"unknown"},L=function(){function 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 /**
  * Prism: Lightweight, robust, elegant syntax highlighting
  *
@@ -56,7 +56,7 @@
  * @author Lea Verou <https://lea.verou.me>
  * @namespace
  * @public
- */e.exports&&(e.exports=n),void 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r={};r["language-"+t]={pattern:/(^<!\[CDATA\[)[\s\S]+?(?=\]\]>$)/i,lookbehind:!0,inside:n.languages[t]},r.cdata=/^<!\[CDATA\[|\]\]>$/i;var i={"included-cdata":{pattern:/<!\[CDATA\[[\s\S]*?\]\]>/i,inside:r}};i["language-"+t]={pattern:/[\s\S]+/,inside:n.languages[t]};var o={};o[e]={pattern:RegExp(/(<__[^>]*>)(?:<!\[CDATA\[(?:[^\]]|\](?!\]>))*\]\]>|(?!<!\[CDATA\[)[\s\S])*?(?=<\/__>)/.source.replace(/__/g,(function(){return 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t=e.name||"",n=t.split(".");if("**"===n.pop()&&n.pop(),n.length){if(e.parent)throw new Error("States that specify the 'parent:' property should not have a '.' in their name ("+t+")");return n.join(".")}return e.parent?Object(i.l)(e.parent)?e.parent:e.parent.name:""},e.prototype.name=function(e){var t=e.name;if(-1!==t.indexOf(".")||!e.parent)return t;var n=Object(i.l)(e.parent)?e.parent:e.parent.name;return n?n+"."+t:t},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return a}));var r=n(1),i=n(0),o=n(19),a=function(){function e(e){this._states=e}return e.prototype.isRelative=function(e){return 0===(e=e||"").indexOf(".")||0===e.indexOf("^")},e.prototype.find=function(e,t,n){if(void 0===n&&(n=!0),e||""===e){var a=Object(r.l)(e),s=a?e:e.name;this.isRelative(s)&&(s=this.resolvePath(s,t));var l=this._states[s];if(l&&(a||!(a||l!==e&&l.self!==e)))return l;if(a&&n){var c=Object(i.U)(this._states).filter((function(e){return e.__stateObjectCache.nameGlob&&e.__stateObjectCache.nameGlob.matches(s)}));return c.length>1&&o.a.error("stateMatcher.find: Found multiple matches for "+s+" using glob: ",c.map((function(e){return e.name}))),c[0]}}},e.prototype.resolvePath=function(e,t){if(!t)throw new Error("No reference point given for path '"+e+"'");for(var n=this.find(t),r=e.split("."),i=r.length,o=0,a=n;o<i;o++)if(""!==r[o]||0!==o){if("^"!==r[o])break;if(!a.parent)throw new Error("Path '"+e+"' not valid for state '"+n.name+"'");a=a.parent}else a=n;var s=r.slice(o).join(".");return a.name+(a.name&&s?".":"")+s},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return o}));var r=n(4),i=n(44),o=function(){function e(e,t,n,r){this.router=e,this.states=t,this.builder=n,this.listeners=r,this.queue=[]}return e.prototype.dispose=function(){this.queue=[]},e.prototype.register=function(e){var t=this.queue,n=i.a.create(e),o=n.name;if(!Object(r.cb)(o))throw new Error("State must have a valid name");if(this.states.hasOwnProperty(o)||Object(r.N)(t.map(Object(r.wb)("name")),o))throw new Error("State '"+o+"' is already defined");return t.push(n),this.flush(),n},e.prototype.flush=function(){for(var e=this,t=this.queue,n=this.states,r=this.builder,i=[],o=[],a={},s=function(t){return e.states.hasOwnProperty(t)&&e.states[t]},l=function(){i.length&&e.listeners.forEach((function(e){return e("registered",i.map((function(e){return e.self})))}))};t.length>0;){var c=t.shift(),u=c.name,d=r.build(c),f=o.indexOf(c);if(d){var p=s(u);if(p&&p.name===u)throw new Error("State '"+u+"' is already defined");var h=s(u+".**");h&&this.router.stateRegistry.deregister(h),n[u]=c,this.attachRoute(c),f>=0&&o.splice(f,1),i.push(c)}else{var g=a[u];if(a[u]=t.length,f>=0&&g===t.length)return t.push(c),l(),n;f<0&&o.push(c),t.push(c)}}return l(),n},e.prototype.attachRoute=function(e){if(!e.abstract&&e.url){var t=this.router.urlService.rules;t.rule(t.urlRuleFactory.create(e))}},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return l}));var r=n(94),i=n(93),o=n(95),a=n(0),s=n(3),l=function(){function e(e){this.router=e,this.states={},this.listeners=[],this.matcher=new r.a(this.states),this.builder=new i.a(this.matcher,e.urlMatcherFactory),this.stateQueue=new o.a(e,this.states,this.builder,this.listeners),this._registerRoot()}return e.prototype._registerRoot=function(){(this._root=this.stateQueue.register({name:"",url:"^",views:null,params:{"#":{value:null,type:"hash",dynamic:!0}},abstract:!0})).navigable=null},e.prototype.dispose=function(){var e=this;this.stateQueue.dispose(),this.listeners=[],this.get().forEach((function(t){return e.get(t)&&e.deregister(t)}))},e.prototype.onStatesChanged=function(e){return this.listeners.push(e),function(){Object(a.L)(this.listeners)(e)}.bind(this)},e.prototype.root=function(){return this._root},e.prototype.register=function(e){return this.stateQueue.register(e)},e.prototype._deregisterTree=function(e){var t=this,n=this.get().map((function(e){return e.$$state()})),r=function(e){var t=n.filter((function(t){return-1!==e.indexOf(t.parent)}));return 0===t.length?t:t.concat(r(t))},i=r([e]),o=[e].concat(i).reverse();return o.forEach((function(e){var n=t.router.urlService.rules;n.rules().filter(Object(s.o)("state",e)).forEach((function(e){return n.removeRule(e)})),delete t.states[e.name]})),o},e.prototype.deregister=function(e){var t=this.get(e);if(!t)throw new Error("Can't deregister state; not found: "+e);var n=this._deregisterTree(t.$$state());return this.listeners.forEach((function(e){return e("deregistered",n.map((function(e){return e.self})))})),n},e.prototype.get=function(e,t){var n=this;if(0===arguments.length)return Object.keys(this.states).map((function(e){return n.states[e].self}));var r=this.matcher.find(e,t);return r&&r.self||null},e.prototype.decorator=function(e,t){return this.builder.builder(e,t)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return v}));var r=n(0),i=n(1),o=n(50),a=n(6),s=n(18),l=n(52),c=n(56),u=n(8),d=n(24),f=n(16),p=n(62),h=n(25),g=n(115),m=n(3),v=function(){function e(t){this.router=t,this.invalidCallbacks=[],this._defaultErrorHandler=function(e){e instanceof Error&&e.stack?(console.error(e),console.error(e.stack)):e instanceof u.b?(console.error(e.toString()),e.detail&&e.detail.stack&&console.error(e.detail.stack)):console.error(e)};var n=Object.keys(e.prototype).filter(Object(m.i)(Object(r.z)(["current","$current","params","transition"])));Object(r.n)(Object(m.p)(e.prototype),this,Object(m.p)(this),n)}return Object.defineProperty(e.prototype,"transition",{get:function(){return this.router.globals.transition},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"params",{get:function(){return this.router.globals.params},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return this.router.globals.current},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"$current",{get:function(){return this.router.globals.$current},enumerable:!1,configurable:!0}),e.prototype.dispose=function(){this.defaultErrorHandler(r.E),this.invalidCallbacks=[]},e.prototype._handleInvalidTargetState=function(e,t){var n=this,r=s.a.makeTargetState(this.router.stateRegistry,e),i=this.router.globals,l=function(){return i.transitionHistory.peekTail()},c=l(),f=new o.a(this.invalidCallbacks.slice()),p=new h.b(e).injector(),g=function(e){if(e instanceof d.a){var t=e;return(t=n.target(t.identifier(),t.params(),t.options())).valid()?l()!==c?u.b.superseded().toPromise():n.transitionTo(t.identifier(),t.params(),t.options()):u.b.invalid(t.error()).toPromise()}};return function e(){var n=f.dequeue();return void 0===n?u.b.invalid(t.error()).toPromise():a.b.$q.when(n(t,r,p)).then(g).then((function(t){return t||e()}))}()},e.prototype.onInvalid=function(e){return this.invalidCallbacks.push(e),function(){Object(r.L)(this.invalidCallbacks)(e)}.bind(this)},e.prototype.reload=function(e){return this.transitionTo(this.current,this.params,{reload:!Object(i.c)(e)||e,inherit:!1,notify:!1})},e.prototype.go=function(e,t,n){var i={relative:this.$current,inherit:!0},o=Object(r.o)(n,i,c.b);return this.transitionTo(e,t,o)},e.prototype.target=function(e,t,n){if(void 0===n&&(n={}),Object(i.i)(n.reload)&&!n.reload.name)throw new Error("Invalid reload state object");var r=this.router.stateRegistry;if(n.reloadState=!0===n.reload?r.root():r.matcher.find(n.reload,n.relative),n.reload&&!n.reloadState)throw new Error("No such reload state '"+(Object(i.l)(n.reload)?n.reload:n.reload.name)+"'");return new d.a(this.router.stateRegistry,e,t,n)},e.prototype.getCurrentPath=function(){var e=this,t=this.router.globals.successfulTransitions.peekTail();return t?t.treeChanges().to:[new l.a(e.router.stateRegistry.root())]},e.prototype.transitionTo=function(e,t,n){var i=this;void 0===t&&(t={}),void 0===n&&(n={});var o=this.router,s=o.globals;n=Object(r.o)(n,c.b);var l=function(){return s.transition};n=Object(r.r)(n,{current:l});var f=this.target(e,t,n),p=this.getCurrentPath();if(!f.exists())return this._handleInvalidTargetState(p,f);if(!f.valid())return Object(r.O)(f.error());if(!1===n.supercede&&l())return u.b.ignored("Another transition is in progress and supercede has been set to false in TransitionOptions for the transition. So the transition was ignored in favour of the existing one in progress.").toPromise();var h=function(e){return function(t){if(t instanceof u.b){var n=o.globals.lastStartedTransitionId<=e.$id;if(t.type===u.a.IGNORED)return n&&o.urlRouter.update(),a.b.$q.when(s.current);var r=t.detail;if(t.type===u.a.SUPERSEDED&&t.redirected&&r instanceof d.a){var l=e.redirect(r);return l.run().catch(h(l))}if(t.type===u.a.ABORTED)return n&&o.urlRouter.update(),a.b.$q.reject(t)}return i.defaultErrorHandler()(t),a.b.$q.reject(t)}},g=this.router.transitionService.create(p,f),m=g.run().catch(h(g));return Object(r.N)(m),Object(r.r)(m,{transition:g})},e.prototype.is=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=this.router.stateRegistry.matcher.find(e,n.relative);if(Object(i.c)(o)){if(this.$current!==o)return!1;if(!t)return!0;var a=o.parameters({inherit:!0,matchingKeys:t});return f.b.equals(a,f.b.values(a,t),this.params)}},e.prototype.includes=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=Object(i.l)(e)&&p.a.fromString(e);if(o){if(!o.matches(this.$current.name))return!1;e=this.$current.name}var a=this.router.stateRegistry.matcher.find(e,n.relative),s=this.$current.includes;if(Object(i.c)(a)){if(!Object(i.c)(s[a.name]))return!1;if(!t)return!0;var l=a.parameters({inherit:!0,matchingKeys:t});return f.b.equals(l,f.b.values(l,t),this.params)}},e.prototype.href=function(e,t,n){var o={lossy:!0,inherit:!0,absolute:!1,relative:this.$current};n=Object(r.o)(n,o),t=t||{};var a=this.router.stateRegistry.matcher.find(e,n.relative);if(!Object(i.c)(a))return null;n.inherit&&(t=this.params.$inherit(t,this.$current,a));var s=a&&n.lossy?a.navigable:a;return s&&void 0!==s.url&&null!==s.url?this.router.urlRouter.href(s.url,t,{absolute:n.absolute}):null},e.prototype.defaultErrorHandler=function(e){return this._defaultErrorHandler=e||this._defaultErrorHandler},e.prototype.get=function(e,t){var n=this.router.stateRegistry;return 0===arguments.length?n.get():n.get(e,t||this.$current)},e.prototype.lazyLoad=function(e,t){var n=this.get(e);if(!n||!n.lazyLoad)throw new Error("Can not lazy load "+e);var r=this.getCurrentPath(),i=s.a.makeTargetState(this.router.stateRegistry,r);return t=t||this.router.transitionService.create(r,i),Object(g.a)(t,n)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s}));var r=n(0),i=n(1),o=n(14),a=n(17),s=function(){function e(e){this.transition=e}return e.prototype.buildHooksForPhase=function(e){var t=this;return this.transition.router.transitionService._pluginapi._getEvents(e).map((function(e){return t.buildHooks(e)})).reduce(r.T,[]).filter(r.y)},e.prototype.buildHooks=function(e){var t=this.transition,n=t.treeChanges(),i=this.getMatchingHooks(e,n,t);if(!i)return[];var s={transition:t,current:t.options().current};return i.map((function(i){return i.matches(n,t)[e.criteriaMatchPath.name].map((function(n){var l=Object(r.r)({bind:i.bind,traceData:{hookType:e.name,context:n}},s),c=e.criteriaMatchPath.scope===o.b.STATE?n.state.self:null,u=new a.a(t,c,i,l);return{hook:i,node:n,transitionHook:u}}))})).reduce(r.T,[]).sort(function(e){void 0===e&&(e=!1);return function(t,n){var r=e?-1:1,i=(t.node.state.path.length-n.node.state.path.length)*r;return 0!==i?i:n.hook.priority-t.hook.priority}}(e.reverseSort)).map((function(e){return e.transitionHook}))},e.prototype.getMatchingHooks=function(e,t,n){var a=e.hookPhase===o.a.CREATE,s=this.transition.router.transitionService;return(a?[s]:[this.transition,s]).map((function(t){return t.getHooks(e.name)})).filter(Object(r.l)(i.a,"broken event named: "+e.name)).reduce(r.T,[]).filter((function(e){return e.matches(t,n)}))},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return b}));var r=n(100),i=n(101),o=n(56),a=n(102),s=n(96),l=n(97),c=n(103),u=n(0),d=n(1),f=n(104),p=n(10),h=n(4),g=0,m=Object(h.gb)("LocationServices",["url","path","search","hash","onChange"]),v=Object(h.gb)("LocationConfig",["port","protocol","host","baseHref","html5Mode","hashPrefix"]),b=function(){function e(e,t){void 0===e&&(e=m),void 0===t&&(t=v),this.locationService=e,this.locationConfig=t,this.$id=g++,this._disposed=!1,this._disposables=[],this.trace=p.c,this.viewService=new a.a(this),this.globals=new c.a,this.transitionService=new o.a(this),this.urlMatcherFactory=new r.b(this),this.urlRouter=new i.a(this),this.urlService=new f.a(this),this.stateRegistry=new s.a(this),this.stateService=new l.a(this),this._plugins={},this.viewService._pluginapi._rootViewContext(this.stateRegistry.root()),this.globals.$current=this.stateRegistry.root(),this.globals.current=this.globals.$current.self,this.disposable(this.globals),this.disposable(this.stateService),this.disposable(this.stateRegistry),this.disposable(this.transitionService),this.disposable(this.urlService),this.disposable(e),this.disposable(t)}return e.prototype.disposable=function(e){this._disposables.push(e)},e.prototype.dispose=function(e){var t=this;e&&Object(d.d)(e.dispose)?e.dispose(this):(this._disposed=!0,this._disposables.slice().forEach((function(e){try{"function"==typeof e.dispose&&e.dispose(t),Object(u.L)(t._disposables,e)}catch(e){}})))},e.prototype.plugin=function(e,t){void 0===t&&(t={});var n=new e(this,t);if(!n.name)throw new Error("Required property `name` missing on plugin: "+n);return this._disposables.push(n),this._plugins[n.name]=n},e.prototype.getPlugin=function(e){return e?this._plugins[e]:Object(u.U)(this._plugins)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s})),n.d(t,"b",(function(){return l}));var r=n(4),i=n(30),o=n(26),a=function(){return(a=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},s=function(){function e(e){this.router=e}return e.prototype.fromConfig=function(e,t,n){return new o.Param(e,t,o.DefType.CONFIG,this.router.urlService.config,n)},e.prototype.fromPath=function(e,t,n){return new o.Param(e,t,o.DefType.PATH,this.router.urlService.config,n)},e.prototype.fromSearch=function(e,t,n){return new o.Param(e,t,o.DefType.SEARCH,this.router.urlService.config,n)},e}(),l=function(){function e(e){var t=this;this.router=e,this.paramFactory=new s(this.router),this.UrlMatcher=i.a,this.Param=o.Param,this.caseInsensitive=function(e){return t.router.urlService.config.caseInsensitive(e)},this.defaultSquashPolicy=function(e){return t.router.urlService.config.defaultSquashPolicy(e)},this.strictMode=function(e){return t.router.urlService.config.strictMode(e)},this.type=function(e,n,r){return t.router.urlService.config.type(e,n,r)||t}}return e.prototype.compile=function(e,t){var n=this.router.urlService.config,o=t&&!t.state&&t.params;t=o?a({state:{params:o}},t):t;var s={strict:n._isStrictMode,caseInsensitive:n._isCaseInsensitive,decodeParams:n._decodeParams};return new i.a(e,n.paramTypes,this.paramFactory,Object(r.C)(s,t))},e.prototype.isMatcher=function(e){if(!Object(r.Z)(e))return!1;var t=!0;return Object(r.I)(i.a.prototype,(function(n,i){Object(r.U)(n)&&(t=t&&Object(r.T)(e[i])&&Object(r.U)(e[i]))})),t},e.prototype.$get=function(){var e=this.router.urlService.config;return e.paramTypes.enqueue=!1,e.paramTypes._flushTypeQueue(),this},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return o}));var r=n(4),i=n(54);var o=function(){function e(e){var t=this;this.router=e,this.sync=function(e){return t.router.urlService.sync(e)},this.listen=function(e){return t.router.urlService.listen(e)},this.deferIntercept=function(e){return t.router.urlService.deferIntercept(e)},this.match=function(e){return t.router.urlService.match(e)},this.initial=function(e){return t.router.urlService.rules.initial(e)},this.otherwise=function(e){return t.router.urlService.rules.otherwise(e)},this.removeRule=function(e){return t.router.urlService.rules.removeRule(e)},this.rule=function(e){return t.router.urlService.rules.rule(e)},this.rules=function(){return t.router.urlService.rules.rules()},this.sort=function(e){return t.router.urlService.rules.sort(e)},this.when=function(e,n,r){return t.router.urlService.rules.when(e,n,r)},this.urlRuleFactory=new i.b(e)}return e.prototype.update=function(e){var 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h(e){return e.parent?e.parent.path.concat(e):[e]}function g(e){var t=e.parent?Object(r.r)({},e.parent.includes):{};return t[e.name]=!0,t}function m(e){var t,n,c=function(e){return e.provide||e.token},u=Object(a.l)([[Object(a.n)("resolveFn"),function(e){return new s.a(c(e),e.resolveFn,e.deps,e.policy)}],[Object(a.n)("useFactory"),function(e){return new s.a(c(e),e.useFactory,e.deps||e.dependencies,e.policy)}],[Object(a.n)("useClass"),function(e){return new s.a(c(e),(function(){return new e.useClass}),[],e.policy)}],[Object(a.n)("useValue"),function(e){return new s.a(c(e),(function(){return e.useValue}),[],e.policy,e.useValue)}],[Object(a.n)("useExisting"),function(e){return new s.a(c(e),r.y,[e.useExisting],e.policy)}]]),d=Object(a.l)([[Object(a.m)(Object(a.n)("val"),i.l),function(e){return new s.a(e.token,r.y,[e.val],e.policy)}],[Object(a.m)(Object(a.n)("val"),i.a),function(e){return new 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s(t)?null:e.find(i.parentName(t))||o()}],data:[d],url:[p(t,o)],navigable:[f(s)],params:[(n=t.paramFactory,function(e){var t=e.url&&e.url.parameters({inherit:!1})||[],i=Object(r.U)(Object(r.C)(Object(r.F)(e.params||{},t.map(Object(a.n)("id"))),(function(t,r){return n.fromConfig(r,null,e.self)})));return t.concat(i).map((function(e){return[e.id,e]})).reduce(r.h,{})})],views:[],path:[h],includes:[g],resolvables:[m]}}return e.prototype.builder=function(e,t){var n=this.builders,r=n[e]||[];return Object(i.l)(e)&&!Object(i.c)(t)?r.length>1?r:r[0]:Object(i.l)(e)&&Object(i.d)(t)?(n[e]=r,n[e].push(t),function(){return n[e].splice(n[e].indexOf(t,1))&&null}):void 0},e.prototype.build=function(e){var t=this.matcher,n=this.builders,i=this.parentName(e);if(i&&!t.find(i,void 0,!1))return null;for(var o in n)if(n.hasOwnProperty(o)){var a=n[o].reduce((function(e,t){return function(n){return t(n,e)}}),r.E);e[o]=a(e)}return e},e.prototype.parentName=function(e){var t=e.name||"",n=t.split(".");if("**"===n.pop()&&n.pop(),n.length){if(e.parent)throw new Error("States that specify the 'parent:' property should not have a '.' in their name ("+t+")");return n.join(".")}return e.parent?Object(i.l)(e.parent)?e.parent:e.parent.name:""},e.prototype.name=function(e){var t=e.name;if(-1!==t.indexOf(".")||!e.parent)return t;var n=Object(i.l)(e.parent)?e.parent:e.parent.name;return n?n+"."+t:t},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return a}));var r=n(1),i=n(0),o=n(19),a=function(){function e(e){this._states=e}return e.prototype.isRelative=function(e){return 0===(e=e||"").indexOf(".")||0===e.indexOf("^")},e.prototype.find=function(e,t,n){if(void 0===n&&(n=!0),e||""===e){var a=Object(r.l)(e),s=a?e:e.name;this.isRelative(s)&&(s=this.resolvePath(s,t));var l=this._states[s];if(l&&(a||!(a||l!==e&&l.self!==e)))return l;if(a&&n){var c=Object(i.U)(this._states).filter((function(e){return e.__stateObjectCache.nameGlob&&e.__stateObjectCache.nameGlob.matches(s)}));return c.length>1&&o.a.error("stateMatcher.find: Found multiple matches for "+s+" using glob: ",c.map((function(e){return e.name}))),c[0]}}},e.prototype.resolvePath=function(e,t){if(!t)throw new Error("No reference point given for path '"+e+"'");for(var n=this.find(t),r=e.split("."),i=r.length,o=0,a=n;o<i;o++)if(""!==r[o]||0!==o){if("^"!==r[o])break;if(!a.parent)throw new Error("Path '"+e+"' not valid for state '"+n.name+"'");a=a.parent}else a=n;var s=r.slice(o).join(".");return a.name+(a.name&&s?".":"")+s},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return o}));var r=n(4),i=n(44),o=function(){function e(e,t,n,r){this.router=e,this.states=t,this.builder=n,this.listeners=r,this.queue=[]}return e.prototype.dispose=function(){this.queue=[]},e.prototype.register=function(e){var t=this.queue,n=i.a.create(e),o=n.name;if(!Object(r.cb)(o))throw new Error("State must have a valid 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t=this,n=this.get().map((function(e){return e.$$state()})),r=function(e){var t=n.filter((function(t){return-1!==e.indexOf(t.parent)}));return 0===t.length?t:t.concat(r(t))},i=r([e]),o=[e].concat(i).reverse();return o.forEach((function(e){var n=t.router.urlService.rules;n.rules().filter(Object(s.o)("state",e)).forEach((function(e){return n.removeRule(e)})),delete t.states[e.name]})),o},e.prototype.deregister=function(e){var t=this.get(e);if(!t)throw new Error("Can't deregister state; not found: "+e);var n=this._deregisterTree(t.$$state());return this.listeners.forEach((function(e){return e("deregistered",n.map((function(e){return e.self})))})),n},e.prototype.get=function(e,t){var n=this;if(0===arguments.length)return Object.keys(this.states).map((function(e){return n.states[e].self}));var r=this.matcher.find(e,t);return r&&r.self||null},e.prototype.decorator=function(e,t){return this.builder.builder(e,t)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return v}));var r=n(0),i=n(1),o=n(50),a=n(6),s=n(18),l=n(52),c=n(56),u=n(8),d=n(24),p=n(16),f=n(62),h=n(25),g=n(115),m=n(3),v=function(){function e(t){this.router=t,this.invalidCallbacks=[],this._defaultErrorHandler=function(e){e instanceof Error&&e.stack?(console.error(e),console.error(e.stack)):e instanceof u.b?(console.error(e.toString()),e.detail&&e.detail.stack&&console.error(e.detail.stack)):console.error(e)};var n=Object.keys(e.prototype).filter(Object(m.i)(Object(r.z)(["current","$current","params","transition"])));Object(r.n)(Object(m.p)(e.prototype),this,Object(m.p)(this),n)}return Object.defineProperty(e.prototype,"transition",{get:function(){return this.router.globals.transition},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"params",{get:function(){return this.router.globals.params},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return 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this.invalidCallbacks.push(e),function(){Object(r.L)(this.invalidCallbacks)(e)}.bind(this)},e.prototype.reload=function(e){return this.transitionTo(this.current,this.params,{reload:!Object(i.c)(e)||e,inherit:!1,notify:!1})},e.prototype.go=function(e,t,n){var i={relative:this.$current,inherit:!0},o=Object(r.o)(n,i,c.b);return this.transitionTo(e,t,o)},e.prototype.target=function(e,t,n){if(void 0===n&&(n={}),Object(i.i)(n.reload)&&!n.reload.name)throw new Error("Invalid reload state object");var r=this.router.stateRegistry;if(n.reloadState=!0===n.reload?r.root():r.matcher.find(n.reload,n.relative),n.reload&&!n.reloadState)throw new Error("No such reload state '"+(Object(i.l)(n.reload)?n.reload:n.reload.name)+"'");return new d.a(this.router.stateRegistry,e,t,n)},e.prototype.getCurrentPath=function(){var e=this,t=this.router.globals.successfulTransitions.peekTail();return t?t.treeChanges().to:[new l.a(e.router.stateRegistry.root())]},e.prototype.transitionTo=function(e,t,n){var i=this;void 0===t&&(t={}),void 0===n&&(n={});var o=this.router,s=o.globals;n=Object(r.o)(n,c.b);var l=function(){return s.transition};n=Object(r.r)(n,{current:l});var p=this.target(e,t,n),f=this.getCurrentPath();if(!p.exists())return this._handleInvalidTargetState(f,p);if(!p.valid())return Object(r.O)(p.error());if(!1===n.supercede&&l())return u.b.ignored("Another transition is in progress and supercede has been set to false in TransitionOptions for the transition. So the transition was ignored in favour of the existing one in progress.").toPromise();var h=function(e){return function(t){if(t instanceof u.b){var n=o.globals.lastStartedTransitionId<=e.$id;if(t.type===u.a.IGNORED)return n&&o.urlRouter.update(),a.b.$q.when(s.current);var r=t.detail;if(t.type===u.a.SUPERSEDED&&t.redirected&&r instanceof d.a){var l=e.redirect(r);return l.run().catch(h(l))}if(t.type===u.a.ABORTED)return n&&o.urlRouter.update(),a.b.$q.reject(t)}return i.defaultErrorHandler()(t),a.b.$q.reject(t)}},g=this.router.transitionService.create(f,p),m=g.run().catch(h(g));return Object(r.N)(m),Object(r.r)(m,{transition:g})},e.prototype.is=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=this.router.stateRegistry.matcher.find(e,n.relative);if(Object(i.c)(o)){if(this.$current!==o)return!1;if(!t)return!0;var a=o.parameters({inherit:!0,matchingKeys:t});return p.b.equals(a,p.b.values(a,t),this.params)}},e.prototype.includes=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=Object(i.l)(e)&&f.a.fromString(e);if(o){if(!o.matches(this.$current.name))return!1;e=this.$current.name}var a=this.router.stateRegistry.matcher.find(e,n.relative),s=this.$current.includes;if(Object(i.c)(a)){if(!Object(i.c)(s[a.name]))return!1;if(!t)return!0;var l=a.parameters({inherit:!0,matchingKeys:t});return p.b.equals(l,p.b.values(l,t),this.params)}},e.prototype.href=function(e,t,n){var o={lossy:!0,inherit:!0,absolute:!1,relative:this.$current};n=Object(r.o)(n,o),t=t||{};var a=this.router.stateRegistry.matcher.find(e,n.relative);if(!Object(i.c)(a))return null;n.inherit&&(t=this.params.$inherit(t,this.$current,a));var s=a&&n.lossy?a.navigable:a;return s&&void 0!==s.url&&null!==s.url?this.router.urlRouter.href(s.url,t,{absolute:n.absolute}):null},e.prototype.defaultErrorHandler=function(e){return this._defaultErrorHandler=e||this._defaultErrorHandler},e.prototype.get=function(e,t){var n=this.router.stateRegistry;return 0===arguments.length?n.get():n.get(e,t||this.$current)},e.prototype.lazyLoad=function(e,t){var n=this.get(e);if(!n||!n.lazyLoad)throw new Error("Can not lazy load "+e);var r=this.getCurrentPath(),i=s.a.makeTargetState(this.router.stateRegistry,r);return t=t||this.router.transitionService.create(r,i),Object(g.a)(t,n)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s}));var r=n(0),i=n(1),o=n(14),a=n(17),s=function(){function e(e){this.transition=e}return e.prototype.buildHooksForPhase=function(e){var t=this;return this.transition.router.transitionService._pluginapi._getEvents(e).map((function(e){return t.buildHooks(e)})).reduce(r.T,[]).filter(r.y)},e.prototype.buildHooks=function(e){var t=this.transition,n=t.treeChanges(),i=this.getMatchingHooks(e,n,t);if(!i)return[];var s={transition:t,current:t.options().current};return i.map((function(i){return i.matches(n,t)[e.criteriaMatchPath.name].map((function(n){var l=Object(r.r)({bind:i.bind,traceData:{hookType:e.name,context:n}},s),c=e.criteriaMatchPath.scope===o.b.STATE?n.state.self:null,u=new a.a(t,c,i,l);return{hook:i,node:n,transitionHook:u}}))})).reduce(r.T,[]).sort(function(e){void 0===e&&(e=!1);return function(t,n){var r=e?-1:1,i=(t.node.state.path.length-n.node.state.path.length)*r;return 0!==i?i:n.hook.priority-t.hook.priority}}(e.reverseSort)).map((function(e){return e.transitionHook}))},e.prototype.getMatchingHooks=function(e,t,n){var a=e.hookPhase===o.a.CREATE,s=this.transition.router.transitionService;return(a?[s]:[this.transition,s]).map((function(t){return t.getHooks(e.name)})).filter(Object(r.l)(i.a,"broken event named: "+e.name)).reduce(r.T,[]).filter((function(e){return e.matches(t,n)}))},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return b}));var r=n(100),i=n(101),o=n(56),a=n(102),s=n(96),l=n(97),c=n(103),u=n(0),d=n(1),p=n(104),f=n(10),h=n(4),g=0,m=Object(h.gb)("LocationServices",["url","path","search","hash","onChange"]),v=Object(h.gb)("LocationConfig",["port","protocol","host","baseHref","html5Mode","hashPrefix"]),b=function(){function e(e,t){void 0===e&&(e=m),void 0===t&&(t=v),this.locationService=e,this.locationConfig=t,this.$id=g++,this._disposed=!1,this._disposables=[],this.trace=f.c,this.viewService=new a.a(this),this.globals=new c.a,this.transitionService=new o.a(this),this.urlMatcherFactory=new r.b(this),this.urlRouter=new i.a(this),this.urlService=new p.a(this),this.stateRegistry=new s.a(this),this.stateService=new l.a(this),this._plugins={},this.viewService._pluginapi._rootViewContext(this.stateRegistry.root()),this.globals.$current=this.stateRegistry.root(),this.globals.current=this.globals.$current.self,this.disposable(this.globals),this.disposable(this.stateService),this.disposable(this.stateRegistry),this.disposable(this.transitionService),this.disposable(this.urlService),this.disposable(e),this.disposable(t)}return e.prototype.disposable=function(e){this._disposables.push(e)},e.prototype.dispose=function(e){var t=this;e&&Object(d.d)(e.dispose)?e.dispose(this):(this._disposed=!0,this._disposables.slice().forEach((function(e){try{"function"==typeof e.dispose&&e.dispose(t),Object(u.L)(t._disposables,e)}catch(e){}})))},e.prototype.plugin=function(e,t){void 0===t&&(t={});var n=new e(this,t);if(!n.name)throw new Error("Required property `name` missing on plugin: "+n);return this._disposables.push(n),this._plugins[n.name]=n},e.prototype.getPlugin=function(e){return e?this._plugins[e]:Object(u.U)(this._plugins)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s})),n.d(t,"b",(function(){return l}));var r=n(4),i=n(32),o=n(26),a=function(){return(a=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},s=function(){function e(e){this.router=e}return e.prototype.fromConfig=function(e,t,n){return new o.Param(e,t,o.DefType.CONFIG,this.router.urlService.config,n)},e.prototype.fromPath=function(e,t,n){return new o.Param(e,t,o.DefType.PATH,this.router.urlService.config,n)},e.prototype.fromSearch=function(e,t,n){return new o.Param(e,t,o.DefType.SEARCH,this.router.urlService.config,n)},e}(),l=function(){function e(e){var t=this;this.router=e,this.paramFactory=new s(this.router),this.UrlMatcher=i.a,this.Param=o.Param,this.caseInsensitive=function(e){return 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t=this.router.locationService;e?this.location=t.url():t.url()!==this.location&&t.url(this.location,!0)},e.prototype.push=function(e,t,n){var r=n&&!!n.replace;this.router.urlService.url(e.format(t||{}),r)},e.prototype.href=function(e,t,n){var i=e.format(t);if(null==i)return null;n=n||{absolute:!1};var o=this.router.urlService.config,a=o.html5Mode();if(a||null===i||(i="#"+o.hashPrefix()+i),i=function(e,t,n,i){return"/"===i?e:t?Object(r.Kb)(i)+e:n?i.slice(1)+e:e}(i,a,n.absolute,o.baseHref()),!n.absolute||!i)return i;var s=!a&&i?"/":"",l=o.port(),c=80===l||443===l?"":":"+l;return[o.protocol(),"://",o.host(),c,s,i].join("")},Object.defineProperty(e.prototype,"interceptDeferred",{get:function(){return this.router.urlService.interceptDeferred},enumerable:!1,configurable:!0}),e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s}));var r=n(0),i=n(3),o=n(1),a=n(10),s=function(){function e(e){var t=this;this.router=e,this._uiViews=[],this._viewConfigs=[],this._viewConfigFactories={},this._listeners=[],this._pluginapi={_rootViewContext:this._rootViewContext.bind(this),_viewConfigFactory:this._viewConfigFactory.bind(this),_registeredUIView:function(e){return Object(r.t)(t._uiViews,(function(n){return t.router.$id+"."+n.id===e}))},_registeredUIViews:function(){return t._uiViews},_activeViewConfigs:function(){return t._viewConfigs},_onSync:function(e){return t._listeners.push(e),function(){return Object(r.L)(t._listeners,e)}}}}return e.normalizeUIViewTarget=function(e,t){void 0===t&&(t="");var n=t.split("@"),r=n[0]||"$default",i=Object(o.l)(n[1])?n[1]:"^",a=/^(\^(?:\.\^)*)\.(.*$)/.exec(r);a&&(i=a[1],r=a[2]),"!"===r.charAt(0)&&(r=r.substr(1),i="");if(/^(\^(?:\.\^)*)$/.exec(i)){var s=i.split(".").reduce((function(e,t){return e.parent}),e);i=s.name}else"."===i&&(i=e.name);return{uiViewName:r,uiViewContextAnchor:i}},e.prototype._rootViewContext=function(e){return 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t=this;this.router=e,this.interceptDeferred=!1,this.rules=new i.a(this.router),this.config=new o.a(this.router),this.url=function(e,n,r){return t.router.locationService.url(e,n,r)},this.path=function(){return t.router.locationService.path()},this.search=function(){return t.router.locationService.search()},this.hash=function(){return t.router.locationService.hash()},this.onChange=function(e){return t.router.locationService.onChange(e)}}return e.prototype.dispose=function(){this.listen(!1),this.rules.dispose()},e.prototype.parts=function(){return{path:this.path(),search:this.search(),hash:this.hash()}},e.prototype.sync=function(e){if(!e||!e.defaultPrevented){var t=this.router,n=t.urlService,i=t.stateService,o={path:n.path(),search:n.search(),hash:n.hash()},s=this.match(o);Object(r.sb)([[r.cb,function(e){return n.url(e,!0)}],[a.TargetState.isDef,function(e){return i.go(e.state,e.params,e.options)}],[Object(r.Q)(a.TargetState),function(e){return 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@@ -64,39 +64,39 @@
  * Released under MIT license <https://lodash.com/license>
  * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
  * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
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"},function(e,t){e.exports="data:image/svg+xml,%3Csvg 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"},function(e,t){e.exports="data:image/svg+xml,%3Csvg 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    </div>\n                    <div class="launcher-actions">\n                        <a\n                            ng-click="showExpanded()"\n                            ng-show="graphService.orientation == \'sidebar\'"\n                            data-large\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="View Fullscreen">\n                                <svg class="icn icn-md"><use xlink:href="#icn-expand"></use></svg>\n                        </a>\n                        <a\n                            ng-click="showContracted()"\n                            ng-show="graphService.orientation == \'fullscreen\' && selectorService.getViewNode()"\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="View Fullscreen">\n                                <svg class="icn icn-md"><use xlink:href="#icn-contract"></use></svg>\n                        </a>\n                    </div>\n                </div>\n                <div class="launcher-body">\n                    <div class="launcher-embed">\n                        <div ng-controller="GraphCtrl" style="height: 100%" id="graph-viz-wrapper">\n                            <div graph-viz\n                                viz-options="graph.options"\n                                viz-elements="graph.elements"\n                                viz-style="graph.style"\n                                viz-layout="graph.layout"\n                                viz-ready="graph.ready"\n                                viz-rendered="graphRendered"\n                                viz-size="{size: graphService.orientation, expanded: graphService.expanded}"></div>\n                        </div>\n                    </div>\n                </div>\n                <div class="launcher-footer">\n                    <div class="launcher-cell launcher-flush">\n                        <div class="component bg-navy text-navy-lightest margin">\n                            <form class="fields fields-flush launcher-hide-sidebar"\n                                  ng-class="{visible: filters_visible}"\n                                  ng-submit="onUpdateSelector()">\n                                <label class="field">\n                                    <div class="dropdown dropup"\n                                         ng-class="{\'open\': isVisible(\'resource_types\')}"\n                                         data-form-type="resource_types">\n                                        <select\n                                            data-toggle="dropdown"\n                                            class=\'field-input form-control input-dark\'\n                                            ng-click="onSelectClick(\'resource_types\')"\n                                            ng-blur="onSelectBlur(\'resource_types\')">\n                                            <option selected disabled hidden>\n                                                <span>{{ selectionLabel(\'resource_types\') }}</span>\n                                            </option>\n                                        </select>\n                                        <ul\n                                            class="dropdown-menu"\n                                            ng-show="isVisible(\'resource_types\')">\n                                            <li ng-click="onSelectAll(\'resource_types\', !allSelected, $event)">\n                                                <strong class="text-dark">Select All</strong>\n                                                <span ng-show="allSelected">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.resource_types"\n                                                ng-click="onItemSelect(\'resource_types\', item, $event)">\n                                                {{ resourceTypeTitle(item) }}\n                                                <span ng-show="isSelected(\'resource_types\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                        </ul>\n                                        <div class="field-label">resources</div>\n                                    </div>\n                                </label>\n                                <label class="field">\n                                    <div class="dropdown dropup"\n                                         ng-class="{\'open\': isVisible(\'packages\')}"\n                                         data-form-type="packages">\n                                        <select\n                                            data-toggle="dropdown"\n                                            class=\'field-input form-control input-dark\'\n                                            ng-click="onSelectClick(\'packages\')"\n                                            ng-blur="onSelectBlur(\'packages\')">\n                                            <option selected disabled hidden>\n                                                <span>{{ selectionLabel(\'packages\') }}</span>\n                                            </option>\n                                        </select>\n                                        <ul\n                                            class="dropdown-menu"\n                                            ng-show="isVisible(\'packages\')">\n                                            <li ng-click="onSelectAll(\'packages\', !allSelected, $event)">\n                                                <strong class="text-dark">Select All</strong>\n                                                <span ng-show="allSelected">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.packages"\n                                                ng-click="onItemSelect(\'packages\', item, $event)">\n                                                {{ item }}\n                                                <span ng-show="isSelected(\'packages\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                        </ul>\n                                        <div class="field-label">packages</div>\n                                    </div>\n                                </label>\n                                <label class="field">\n                                    <div class="dropdown dropup"\n                                         ng-class="{\'open\': isVisible(\'tags\')}"\n                                         data-form-type="tags">\n                                        <select\n                                            data-toggle="dropdown"\n                                            class=\'field-input form-control input-dark\'\n                                            ng-click="onSelectClick(\'tags\')"\n                                            ng-blur="onSelectBlur(\'tags\', $event)">\n                                            <option selected disabled hidden>\n                                                <span>{{ selectionLabel(\'tags\', \'untagged\') }}</span>\n                                            </option>\n                                        </select>\n                                        <ul\n                                            class="dropdown-menu"\n                                            ng-show="isVisible(\'tags\')">\n                                            <li ng-click="onSelectAll(\'tags\', !allSelected, $event)">\n                                                <strong class="text-dark">Select All</strong>\n                                                <span ng-show="allSelected">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.tags"\n                                                ng-click="onItemSelect(\'tags\', item, $event)">\n                                                <span ng-if=\'item == null\'>untagged</span>\n                                                <span ng-if=\'item != null\'>{{ item }}</span>\n                                                <span ng-show="isSelected(\'tags\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                        </ul>\n                                        <div class="field-label">tags</div>\n                                    </div>\n                                </label>\n                                <label class="field" style="flex: 4 0 160px">\n                                    <input type="text"\n                                           class="field-input form-control input-dark"\n                                           ng-model="selectorService.selection.dirty.include"\n                                           placeholder="..." />\n                                    <div class="field-label">--select</div>\n                                </label>\n                                <label class="field" style="flex: 4 0 160px">\n                                    <input type="text"\n                                           class="field-input form-control input-dark"\n                                           ng-model="selectorService.selection.dirty.exclude"\n                                           placeholder="..." />\n                                    <div class="field-label">--exclude</div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <input type="submit"\n                                           id="submit-graph-selection"\n                                           class="field-input form-control input-dark"\n                                           ng-class="{\'dirty-submit\': selectorService.isDirty()}"\n                                           value="Update Graph" />\n                                    <div class="field-label text-center" style="width: 100%"></div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <button type="button"\n                                        ng-click="closeGraph()"\n                                        class="field-input form-control input-dark text-center"\n                                        ><svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                                    </button>\n                                </label>\n                            </form>\n                        </div>\n                    </div>\n                    \x3c!--<div class="launcher-spacer"></div>--\x3e\n                    <div class="launcher-actions" ng-show="graphService.orientation == \'sidebar\'">\n                        <button type="button"\n                            ng-click="closeGraph()"\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="Close Graph"><svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                        </button>\n                    </div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";n(234);const r=n(236),i=n(21),o=n(31),a=n(237);n(244)(a,o);const 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class="launcher-cell">\n                        <h6>\n                            Lineage Graph\n                        </h6>\n                    </div>\n                    <div class="launcher-actions">\n                        <a\n                            ng-click="showExpanded()"\n                            ng-show="graphService.orientation == \'sidebar\'"\n                            data-large\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="View Fullscreen">\n                                <svg class="icn icn-md"><use xlink:href="#icn-expand"></use></svg>\n                        </a>\n                        <a\n                            ng-click="showContracted()"\n                            ng-show="graphService.orientation == \'fullscreen\' && selectorService.getViewNode()"\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n  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                                                   <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.resource_types"\n                                                ng-click="onItemSelect(\'resource_types\', item, $event)">\n                                                {{ resourceTypeTitle(item) }}\n                                                <span ng-show="isSelected(\'resource_types\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" 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               </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.tags"\n                                                ng-click="onItemSelect(\'tags\', item, $event)">\n                                                <span ng-if=\'item == null\'>untagged</span>\n                                                <span ng-if=\'item != null\'>{{ item }}</span>\n                                                <span ng-show="isSelected(\'tags\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                    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                                    placeholder="..." />\n                                    <div class="field-label">--exclude</div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <input type="submit"\n                                           id="submit-graph-selection"\n                                           class="field-input form-control input-dark"\n                                           ng-class="{\'dirty-submit\': selectorService.isDirty()}"\n                                           value="Update Graph" />\n                                    <div class="field-label text-center" style="width: 100%"></div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <button type="button"\n                                        ng-click="closeGraph()"\n             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e}())[t](n)},stateSelectorRegex:o}},function(e,t,n){"use strict";
 /*!
 Event object based on jQuery events, MIT license
 
 https://jquery.org/license/
 https://tldrlegal.com/license/mit-license
 https://github.com/jquery/jquery/blob/master/src/event.js
-*/var r=function(e,t){this.recycle(e,t)};function i(){return!1}function o(){return!0}r.prototype={instanceString:function(){return"event"},recycle:function(e,t){if(this.isImmediatePropagationStopped=this.isPropagationStopped=this.isDefaultPrevented=i,null!=e&&e.preventDefault?(this.type=e.type,this.isDefaultPrevented=e.defaultPrevented?o:i):null!=e&&e.type?t=e:this.type=e,null!=t&&(this.originalEvent=t.originalEvent,this.type=null!=t.type?t.type:this.type,this.cy=t.cy,this.target=t.target,this.position=t.position,this.renderedPosition=t.renderedPosition,this.namespace=t.namespace,this.layout=t.layout),null!=this.cy&&null!=this.position&&null==this.renderedPosition){var n=this.position,r=this.cy.zoom(),a=this.cy.pan();this.renderedPosition={x:n.x*r+a.x,y:n.y*r+a.y}}this.timeStamp=e&&e.timeStamp||Date.now()},preventDefault:function(){this.isDefaultPrevented=o;var e=this.originalEvent;e&&e.preventDefault&&e.preventDefault()},stopPropagation:function(){this.isPropagationStopped=o;var e=this.originalEvent;e&&e.stopPropagation&&e.stopPropagation()},stopImmediatePropagation:function(){this.isImmediatePropagationStopped=o,this.stopPropagation()},isDefaultPrevented:i,isPropagationStopped:i,isImmediatePropagationStopped:i},e.exports=r},function(e,t,n){"use strict";var r=n(1);e.exports=function(e,t){var n=e.cy().hasCompoundNodes();function i(e){var t=e.pstyle("z-compound-depth");return"auto"===t.value?n?e.zDepth():0:"bottom"===t.value?-1:"top"===t.value?r.MAX_INT:0}var o=i(e)-i(t);if(0!==o)return o;function a(e){return"auto"===e.pstyle("z-index-compare").value&&e.isNode()?1:0}var s=a(e)-a(t);if(0!==s)return s;var l=e.pstyle("z-index").value-t.pstyle("z-index").value;return 0!==l?l:e.poolIndex()-t.poolIndex()}},function(e,t,n){"use strict";var r=n(0),i=n(1),o=n(6),a=function e(t){if(!(this instanceof e))return new e(t);r.core(t)?(this._private={cy:t,coreStyle:{}},this.length=0,this.resetToDefault()):i.error("A style must have a core 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r=this.length-1;this[r].properties.push(n),this[r].properties[n.name]=n,n.name.match(/pie-(\d+)-background-size/)&&n.value&&(this._private.hasPie=!0),n.mapped&&this[r].mappedProperties.push(n),!this[r].selector&&(this._private.coreStyle[n.name]=n)}return this},s.append=function(e){return r.stylesheet(e)?e.appendToStyle(this):r.array(e)?this.appendFromJson(e):r.string(e)&&this.appendFromString(e),this},a.fromJson=function(e,t){var n=new a(e);return n.fromJson(t),n},a.fromString=function(e,t){return new a(e).fromString(t)},[n(85),n(86),n(87),n(88),n(89),n(90),n(91),n(92)].forEach((function(e){i.extend(s,e)})),a.types=s.types,a.properties=s.properties,e.exports=a},function(e,t,n){"use strict";var r=n(1);e.exports={setupDequeueing:function(e){return function(){var t=this,n=this.renderer;if(!t.dequeueingSetup){t.dequeueingSetup=!0;var 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l=i.makeBoundingBox(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c=l.x1+l.w/2,u=l.y1+l.h/2,d=(void 0===t.sweep?2*Math.PI-2*Math.PI/s.length:t.sweep)/Math.max(1,s.length-1),f=void 0,p=0,h=0;h<s.length;h++){var g=s[h].layoutDimensions(t),m=g.w,v=g.h;p=Math.max(p,m,v)}if(f=o.number(t.radius)?t.radius:s.length<=1?0:Math.min(l.h,l.w)/2-p,s.length>1&&t.avoidOverlap){p*=1.75;var b=Math.cos(d)-Math.cos(0),y=Math.sin(d)-Math.sin(0),x=Math.sqrt(p*p/(b*b+y*y));f=Math.max(x,f)}return s.layoutPositions(this,t,(function(e,n){var r=t.startAngle+n*d*(a?1:-1),i=f*Math.cos(r),o=f*Math.sin(r);return{x:c+i,y:u+o}})),this},e.exports=s},function(e,t,n){"use strict";var r=n(1),i=n(2),o={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return 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k=v.length>0&&v[0].length>1,A=(Math.min(a.w,a.h)/2-w)/(v.length+k?1:0);w=Math.min(w,A)}for(var E=0,S=0;S<v.length;S++){var $=v[S],C=void 0===t.sweep?2*Math.PI-2*Math.PI/$.length:t.sweep,_=$.dTheta=C/Math.max(1,$.length-1);if($.length>1&&t.avoidOverlap){var O=Math.cos(_)-Math.cos(0),j=Math.sin(_)-Math.sin(0),T=Math.sqrt(w*w/(O*O+j*j));E=Math.max(T,E)}$.r=E,E+=w}if(t.equidistant){for(var P=0,D=0,R=0;R<v.length;R++){var I=v[R].r-D;P=Math.max(P,I)}D=0;for(var N=0;N<v.length;N++){var M=v[N];0===N&&(D=M.r),M.r=D,D+=P}}for(var z={},L=0;L<v.length;L++)for(var B=v[L],F=B.dTheta,q=B.r,V=0;V<B.length;V++){var U=B[V],H=t.startAngle+(n?1:-1)*F*V,G={x:s+q*Math.cos(H),y:l+q*Math.sin(H)};z[U.node.id()]=G}return o.layoutPositions(this,t,(function(e){var t=e.id();return z[t]})),this},e.exports=a},function(e,t,n){"use strict";var r,i=n(1),o=n(2),a=n(0),s=n(5),l={ready:function(){},stop:function(){},animate:!0,animationEasing:void 0,animationDuration:void 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c=e.layoutNodes[e.idToIndex[r[l]]];s(a,c,e,t)}},a=function(e){return-e+2*e*Math.random()},s=function(e,t,n,r){if(e.cmptId===t.cmptId||n.isCompound){var i=t.positionX-e.positionX,o=t.positionY-e.positionY;0===i&&0===o&&(i=a(1),o=a(1));var s=l(e,t,i,o);if(s>0)var c=(f=r.nodeOverlap*s)*i/(b=Math.sqrt(i*i+o*o)),d=f*o/b;else{var f,p=u(e,i,o),h=u(t,-1*i,-1*o),g=h.x-p.x,m=h.y-p.y,v=g*g+m*m,b=Math.sqrt(v);c=(f=(e.nodeRepulsion+t.nodeRepulsion)/v)*g/b,d=f*m/b}e.isLocked||(e.offsetX-=c,e.offsetY-=d),t.isLocked||(t.offsetX+=c,t.offsetY+=d)}},l=function(e,t,n,r){if(n>0)var i=e.maxX-t.minX;else i=t.maxX-e.minX;if(r>0)var o=e.maxY-t.minY;else o=t.maxY-e.minY;return i>=0&&o>=0?Math.sqrt(i*i+o*o):0},u=function(e,t,n){var r=e.positionX,i=e.positionY,o=e.height||1,a=e.width||1,s=n/t,l=o/a,c={};return 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u=e.layoutNodes[e.idToIndex[r[c]]];if(!u.isLocked){var d=o-u.positionX,f=a-u.positionY,p=Math.sqrt(d*d+f*f);if(p>1){var h=t.gravity*d/p,g=t.gravity*f/p;u.offsetX+=h,u.offsetY+=g}}}}},p=function(e,t){var n=[],r=0,i=-1;for(n.push.apply(n,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var o=n[r++],a=e.idToIndex[o],s=e.layoutNodes[a],l=s.children;if(0<l.length&&!s.isLocked){for(var c=s.offsetX,u=s.offsetY,d=0;d<l.length;d++){var f=e.layoutNodes[e.idToIndex[l[d]]];f.offsetX+=c,f.offsetY+=u,n[++i]=l[d]}s.offsetX=0,s.offsetY=0}}},h=function(e,t){for(var n=0;n<e.nodeSize;n++)0<(i=e.layoutNodes[n]).children.length&&(i.maxX=void 0,i.minX=void 0,i.maxY=void 0,i.minY=void 0);for(n=0;n<e.nodeSize;n++)if(!(0<(i=e.layoutNodes[n]).children.length||i.isLocked)){var r=g(i.offsetX,i.offsetY,e.temperature);i.positionX+=r.x,i.positionY+=r.y,i.offsetX=0,i.offsetY=0,i.minX=i.positionX-i.width,i.maxX=i.positionX+i.width,i.minY=i.positionY-i.height,i.maxY=i.positionY+i.height,m(i,e)}for(n=0;n<e.nodeSize;n++){var i;0<(i=e.layoutNodes[n]).children.length&&!i.isLocked&&(i.positionX=(i.maxX+i.minX)/2,i.positionY=(i.maxY+i.minY)/2,i.width=i.maxX-i.minX,i.height=i.maxY-i.minY)}},g=function(e,t,n){var r=Math.sqrt(e*e+t*t);if(r>n)var i={x:n*e/r,y:n*t/r};else i={x:e,y:t};return i},m=function e(t,n){var r=t.parentId;if(null!=r){var i=n.layoutNodes[n.idToIndex[r]],o=!1;return(null==i.maxX||t.maxX+i.padRight>i.maxX)&&(i.maxX=t.maxX+i.padRight,o=!0),(null==i.minX||t.minX-i.padLeft<i.minX)&&(i.minX=t.minX-i.padLeft,o=!0),(null==i.maxY||t.maxY+i.padBottom>i.maxY)&&(i.maxY=t.maxY+i.padBottom,o=!0),(null==i.minY||t.minY-i.padTop<i.minY)&&(i.minY=t.minY-i.padTop,o=!0),o?e(i,n):void 0}},v=function(e){return 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r=n.eles.edges(),i=n.eles.nodes(),s={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:n.initialTemp,clientWidth:e.width(),clientHeight:e.width(),boundingBox:o.makeBoundingBox(n.boundingBox?n.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()})},l=n.eles.components(),c={},u=0;u<l.length;u++)for(var f=l[u],p=0;p<f.length;p++)c[f[p].id()]=u;for(u=0;u<s.nodeSize;u++){var h=(y=i[u]).layoutDimensions(n);(I={}).isLocked=y.locked(),I.id=y.data("id"),I.parentId=y.data("parent"),I.cmptId=c[y.id()],I.children=[],I.positionX=y.position("x"),I.positionY=y.position("y"),I.offsetX=0,I.offsetY=0,I.height=h.w,I.width=h.h,I.maxX=I.positionX+I.width/2,I.minX=I.positionX-I.width/2,I.maxY=I.positionY+I.height/2,I.minY=I.positionY-I.height/2,I.padLeft=parseFloat(y.style("padding")),I.padRight=parseFloat(y.style("padding")),I.padTop=parseFloat(y.style("padding")),I.padBottom=parseFloat(y.style("padding")),I.nodeRepulsion=a.fn(n.nodeRepulsion)?n.nodeRepulsion(y):n.nodeRepulsion,s.layoutNodes.push(I),s.idToIndex[I.id]=u}var g=[],m=0,v=-1,b=[];for(u=0;u<s.nodeSize;u++){var y,x=(y=s.layoutNodes[u]).parentId;null!=x?s.layoutNodes[s.idToIndex[x]].children.push(y.id):(g[++v]=y.id,b.push(y.id))}for(s.graphSet.push(b);m<=v;){var w=g[m++],k=s.idToIndex[w],A=s.layoutNodes[k].children;if(A.length>0)for(s.graphSet.push(A),u=0;u<A.length;u++)g[++v]=A[u]}for(u=0;u<s.graphSet.length;u++){var E=s.graphSet[u];for(p=0;p<E.length;p++){var S=s.idToIndex[E[p]];s.indexToGraph[S]=u}}for(u=0;u<s.edgeSize;u++){var $=r[u],C={};C.id=$.data("id"),C.sourceId=$.data("source"),C.targetId=$.data("target");var _=a.fn(n.idealEdgeLength)?n.idealEdgeLength($):n.idealEdgeLength,O=a.fn(n.edgeElasticity)?n.edgeElasticity($):n.edgeElasticity,j=s.idToIndex[C.sourceId],T=s.idToIndex[C.targetId];if(s.indexToGraph[j]!=s.indexToGraph[T]){for(var P=d(C.sourceId,C.targetId,s),D=s.graphSet[P],R=0,I=s.layoutNodes[j];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;for(I=s.layoutNodes[T];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;_*=R*n.nestingFactor}C.idealLength=_,C.elasticity=O,s.layoutEdges.push(C)}return s},d=function(e,t,n){var r=f(e,t,0,n);return 2>r.count?0:r.graph},f=function e(t,n,r,i){var o=i.graphSet[r];if(-1<o.indexOf(t)&&-1<o.indexOf(n))return{count:2,graph:r};for(var a=0,s=0;s<o.length;s++){var l=o[s],c=i.idToIndex[l],u=i.layoutNodes[c].children;if(0!==u.length){var d=e(t,n,i.indexToGraph[i.idToIndex[u[0]]],i);if(0!==d.count){if(1!==d.count)return d;if(2==++a)break}}}return{count:a,graph:r}},p=function(e){if(r){console.debug("layoutNodes:");for(var t=0;t<e.nodeSize;t++){var n=e.layoutNodes[t],i="\nindex: "+t+"\nId: "+n.id+"\nChildren: "+n.children.toString()+"\nparentId: "+n.parentId+"\npositionX: "+n.positionX+"\npositionY: "+n.positionY+"\nOffsetX: "+n.offsetX+"\nOffsetY: "+n.offsetY+"\npadLeft: "+n.padLeft+"\npadRight: "+n.padRight+"\npadTop: "+n.padTop+"\npadBottom: "+n.padBottom;console.debug(i)}for(var t in console.debug("idToIndex"),e.idToIndex)console.debug("Id: "+t+"\nIndex: "+e.idToIndex[t]);console.debug("Graph Set");var o=e.graphSet;for(t=0;t<o.length;t++)console.debug("Set : "+t+": "+o[t].toString());for(i="IndexToGraph",t=0;t<e.indexToGraph.length;t++)i+="\nIndex : "+t+" Graph: "+e.indexToGraph[t];for(console.debug(i),i="Layout Edges",t=0;t<e.layoutEdges.length;t++){var a=e.layoutEdges[t];i+="\nEdge Index: "+t+" ID: "+a.id+" SouceID: "+a.sourceId+" TargetId: "+a.targetId+" Ideal Length: "+a.idealLength}console.debug(i),i="nodeSize: "+e.nodeSize,i+="\nedgeSize: "+e.edgeSize,i+="\ntemperature: "+e.temperature,console.debug(i)}},h=function(e,t){for(var n=e.clientWidth,r=e.clientHeight,i=0;i<e.nodeSize;i++){var o=e.layoutNodes[i];0!==o.children.length||o.isLocked||(o.positionX=Math.random()*n,o.positionY=Math.random()*r)}},g=function(e,t,n){var r=n.layout,i=n.eles.nodes(),o=e.boundingBox,a={x1:1/0,x2:-1/0,y1:1/0,y2:-1/0};n.boundingBox&&(i.forEach((function(t){var n=e.layoutNodes[e.idToIndex[t.data("id")]];a.x1=Math.min(a.x1,n.positionX),a.x2=Math.max(a.x2,n.positionX),a.y1=Math.min(a.y1,n.positionY),a.y2=Math.max(a.y2,n.positionY)})),a.w=a.x2-a.x1,a.h=a.y2-a.y1),i.positions((function(t,r){var i=e.layoutNodes[e.idToIndex[t.data("id")]];if(n.boundingBox){var s=(i.positionX-a.x1)/a.w,l=(i.positionY-a.y1)/a.h;return{x:o.x1+s*o.w,y:o.y1+l*o.h}}return{x:i.positionX,y:i.positionY}})),!0!==e.ready&&(e.ready=!0,r.one("layoutready",n.ready),r.emit({type:"layoutready",layout:this}))};e.exports=c},function(e,t,n){"use strict";var r=n(1),i=n(2),o={fit:!0,padding:30,boundingBox:void 0,avoidOverlap:!0,avoidOverlapPadding:10,nodeDimensionsIncludeLabels:!1,spacingFactor:void 0,condense:!1,rows:void 0,cols:void 0,position:function(e){},sort:void 0,animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,t){return!0},ready:void 0,stop:void 0,transform:function(e,t){return t}};function 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A=w.layoutDimensions(t),E=t.avoidOverlapPadding,S=A.w+E,$=A.h+E;b=Math.max(b,S),y=Math.max(y,$)}for(var C={},_=function(e,t){return!!C["c-"+e+"-"+t]},O=function(e,t){C["c-"+e+"-"+t]=!0},j=0,T=0,P=function(){++T>=c&&(T=0,j++)},D={},R=0;R<r.length;R++){var I=r[R],N=t.position(I);if(N&&(void 0!==N.row||void 0!==N.col)){var M={row:N.row,col:N.col};if(void 0===M.col)for(M.col=0;_(M.row,M.col);)M.col++;else if(void 0===M.row)for(M.row=0;_(M.row,M.col);)M.row++;D[I.id()]=M,O(M.row,M.col)}}r.layoutPositions(this,t,(function(e,t){var n=void 0,r=void 0;if(e.locked()||e.isParent())return!1;var i=D[e.id()];if(i)n=i.col*b+b/2+o.x1,r=i.row*y+y/2+o.y1;else{for(;_(j,T);)P();n=T*b+b/2+o.x1,r=j*y+y/2+o.y1,O(j,T),P()}return{x:n,y:r}}))}return this},e.exports=a},function(e,t,n){"use strict";var r=n(1),i={ready:function(){},stop:function(){}};function o(e){this.options=r.extend({},i,e)}o.prototype.run=function(){var e=this.options,t=e.eles;return 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r||(r=Math.max(Math.pow(13.37*e,.9),29)*t,n[e+", "+t]=r,r)},e.exports=i},function(e,t,n){"use strict";var r=n(2),i=n(0),o={};function a(e){var t=[];if(null!=e){for(var n=0;n<e.length;n+=2){var r=e[n],i=e[n+1];t.push({x:r,y:i})}return t}}o.findEdgeControlPoints=function(e){if(e&&0!==e.length){for(var t,n,o,a,s,l=this,c=l.cy.hasCompoundNodes(),u={},d=[],f=[],p=0;p<e.length;p++){var h=(Ft=(Bt=e[p])._private).data,g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,m="unbundled-bezier"===D||"bezier"===D;if("none"!==Bt.pstyle("display").value)if("haystack"!==D){var v=h.source,b=h.target;t=v>b?b+"$-$"+v:v+"$-$"+b,g&&(t="unbundled$-$"+h.id);var y=u[t];null==y&&(y=u[t]=[],d.push(t)),y.push(Bt),g&&(y.hasUnbundled=!0),m&&(y.hasBezier=!0)}else f.push(Bt)}for(var x=0;x<d.length;x++){var w=u[t=d[x]];if(w.sort((function(e,t){return e.poolIndex()-t.poolIndex()})),Ht=w[0]._private.source,Gt=w[0]._private.target,!w.hasUnbundled&&Ht.id()>Gt.id()){var k=Ht;Ht=Gt,Gt=k}Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.outerWidth(),Qt=Ht.outerHeight(),Zt=Gt.outerWidth(),Jt=Gt.outerHeight(),n=l.nodeShapes[this.getNodeShape(Ht)],o=l.nodeShapes[this.getNodeShape(Gt)],s=!1;var A={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0},E=Wt.x,S=Wt.y,$=Xt,C=Qt,_=Yt.x,O=Yt.y,j=Zt,T=Jt,P=w.length;for(p=0;p<w.length;p++){var D,R,I=(Vt=(Bt=w[p])._private.rscratch).lastEdgeIndex,N=p,M=Vt.lastNumEdges,z=(g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,Ht.id()!==Bt.source().id()),L=Bt.pstyle("control-point-distances"),B=Bt.pstyle("loop-direction").pfValue,F=Bt.pstyle("loop-sweep").pfValue,q=Bt.pstyle("control-point-weights"),V=L&&q?Math.min(L.value.length,q.value.length):1,U=Bt.pstyle("control-point-step-size").pfValue,H=L?L.pfValue[0]:void 0,G=q.value[0],W=Bt.pstyle("edge-distances").value,Y=Bt.pstyle("segment-weights"),X=Bt.pstyle("segment-distances"),Z=Math.min(Y.pfValue.length,X.pfValue.length),Q=Bt.pstyle("source-endpoint").value,J=Bt.pstyle("target-endpoint").value,K=Bt.pstyle("source-arrow-shape").value,ee=Bt.pstyle("target-arrow-shape").value,te=Bt.pstyle("arrow-scale").value,ne=Bt.pstyle("width").pfValue,re=Vt.lastSrcCtlPtX,ie=Vt.lastSrcCtlPtY,oe=Vt.lastSrcCtlPtW,ae=Vt.lastSrcCtlPtH,se=Vt.lastTgtCtlPtX,le=Vt.lastTgtCtlPtY,ce=Vt.lastTgtCtlPtW,ue=Vt.lastTgtCtlPtH,de=Vt.lastCurveStyle,fe=D,pe=Vt.lastCtrlptDists,he=L?L.strValue:null,ge=Vt.lastCtrlptWs,me=q.strValue,ve=Vt.lastSegmentWs,be=Y.strValue,ye=Vt.lastSegmentDs,xe=X.strValue,we=Vt.lastStepSize,ke=U,Ae=Vt.lastLoopDir,Ee=B,Se=Vt.lastLoopSwp,$e=F,Ce=Vt.lastEdgeDistances,_e=W,Oe=Vt.lastSrcEndpt,je=Q,Te=Vt.lastTgtEndpt,Pe=J,De=Vt.lastSrcArr,Re=K,Ie=Vt.lastTgtArr,Ne=ee,Me=Vt.lastLineW,ze=ne,Le=Vt.lastArrScl,Be=te;if(Vt.badBezier=!!s,re===E&&ie===S&&oe===$&&ae===C&&se===_&&le===O&&ce===j&&ue===T&&de===fe&&pe===he&&ge===me&&ve===be&&ye===xe&&we===ke&&Ae===Ee&&Se===$e&&Ce===_e&&Oe===je&&Te===Pe&&De===Re&&Ie===Ne&&Me===ze&&Le===Be&&(I===N&&M===P||g)?R=!0:(R=!1,Vt.lastSrcCtlPtX=E,Vt.lastSrcCtlPtY=S,Vt.lastSrcCtlPtW=$,Vt.lastSrcCtlPtH=C,Vt.lastTgtCtlPtX=_,Vt.lastTgtCtlPtY=O,Vt.lastTgtCtlPtW=j,Vt.lastTgtCtlPtH=T,Vt.lastEdgeIndex=N,Vt.lastNumEdges=P,Vt.lastCurveStyle=fe,Vt.lastCtrlptDists=he,Vt.lastCtrlptWs=me,Vt.lastSegmentDs=xe,Vt.lastSegmentWs=be,Vt.lastStepSize=ke,Vt.lastLoopDir=Ee,Vt.lastLoopSwp=$e,Vt.lastEdgeDistances=_e,Vt.lastSrcEndpt=je,Vt.lastTgtEndpt=Pe,Vt.lastSrcArr=Re,Vt.lastTgtArr=Ne,Vt.lastLineW=ze,Vt.lastArrScl=Be),!R){if(!w.calculatedIntersection&&Ht!==Gt&&(w.hasBezier||w.hasUnbundled)){w.calculatedIntersection=!0;var Fe=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Yt.x,Yt.y,0);w.srcIntn=Fe;var qe=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Wt.x,Wt.y,0);w.tgtIntn=qe;var Ve={x1:Fe[0],x2:qe[0],y1:Fe[1],y2:qe[1]},Ue={x1:Wt.x,x2:Yt.x,y1:Wt.y,y2:Yt.y},He=qe[1]-Fe[1],Ge=qe[0]-Fe[0],We=Math.sqrt(Ge*Ge+He*He),Ye={x:Ge,y:He},Xe={x:Ye.x/We,y:Ye.y/We};a={x:-Xe.y,y:Xe.x},o.checkPoint(Fe[0],Fe[1],0,Zt,Jt,Yt.x,Yt.y)&&n.checkPoint(qe[0],qe[1],0,Xt,Qt,Wt.x,Wt.y)&&(a={},s=!0)}if(z?(Vt.srcIntn=w.tgtIntn,Vt.tgtIntn=w.srcIntn):(Vt.srcIntn=w.srcIntn,Vt.tgtIntn=w.tgtIntn),Ht===Gt){Vt.edgeType="self";var Ze=p,Qe=U;g&&(Ze=0,Qe=H);var Je=B-Math.PI/2,Ke=Je-F/2,et=Je+F/2,tt=String(B+"_"+F);Ze=void 0===A[tt]?A[tt]=0:++A[tt],Vt.ctrlpts=[Wt.x+1.4*Math.cos(Ke)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(Ke)*Qe*(Ze/3+1),Wt.x+1.4*Math.cos(et)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(et)*Qe*(Ze/3+1)]}else if(c&&(Ht.isParent()||Ht.isChild()||Gt.isParent()||Gt.isChild())&&(Ht.parents().anySame(Gt)||Gt.parents().anySame(Ht))){Vt.edgeType="compound",Vt.badBezier=!1,Ze=p,Qe=U,g&&(Ze=0,Qe=H);var nt={x:Wt.x-Xt/2,y:Wt.y-Qt/2},rt={x:Yt.x-Zt/2,y:Yt.y-Jt/2},it={x:Math.min(nt.x,rt.x),y:Math.min(nt.y,rt.y)},ot=Math.max(.5,Math.log(.01*Xt)),at=Math.max(.5,Math.log(.01*Zt));Vt.ctrlpts=[it.x,it.y-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*ot,it.x-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*at,it.y]}else if("segments"===D){Vt.edgeType="segments",Vt.segpts=[];for(var st=0;st<Z;st++){var lt=Y.pfValue[st],ct=X.pfValue[st],ut=1-lt,dt=lt,ft={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt};Vt.segpts.push(ft.x+a.x*ct,ft.y+a.y*ct)}}else if(w.length%2!=1||p!==Math.floor(w.length/2)||g){var pt=g;Vt.edgeType=pt?"multibezier":"bezier",Vt.ctrlpts=[];for(var ht=0;ht<V;ht++){var gt,mt=(.5-w.length/2+p)*U,vt=r.signum(mt);pt&&(H=L?L.pfValue[ht]:U,G=q.value[ht]);var bt,yt=void 0!==(gt=g?H:void 0!==H?vt*H:void 0)?gt:mt;ut=1-G,dt=G,z&&(k=ut,ut=dt,dt=k),ft={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt},Vt.ctrlpts.push(ft.x+a.x*yt,ft.y+a.y*yt)}}else Vt.edgeType="straight";this.findEndpoints(Bt);var xt=!i.number(Vt.startX)||!i.number(Vt.startY),wt=!i.number(Vt.arrowStartX)||!i.number(Vt.arrowStartY),kt=!i.number(Vt.endX)||!i.number(Vt.endY),At=!i.number(Vt.arrowEndX)||!i.number(Vt.arrowEndY),Et=this.getArrowWidth(Bt.pstyle("width").pfValue,Bt.pstyle("arrow-scale").value)*this.arrowShapeWidth*3;if("bezier"===Vt.edgeType){var St=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.startX,y:Vt.startY}),$t=St<Et,Ct=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.endX,y:Vt.endY}),_t=Ct<Et,Ot=!1;if(xt||wt||$t){Ot=!0;var jt={x:Vt.ctrlpts[0]-Wt.x,y:Vt.ctrlpts[1]-Wt.y},Tt=Math.sqrt(jt.x*jt.x+jt.y*jt.y),Pt={x:jt.x/Tt,y:jt.y/Tt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt},It=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Rt.x,Rt.y,0);$t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-St),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-St)):(Vt.ctrlpts[0]=It[0]+Pt.x*Et,Vt.ctrlpts[1]=It[1]+Pt.y*Et)}if(kt||At||_t){Ot=!0,jt={x:Vt.ctrlpts[0]-Yt.x,y:Vt.ctrlpts[1]-Yt.y},Tt=Math.sqrt(jt.x*jt.x+jt.y*jt.y),Pt={x:jt.x/Tt,y:jt.y/Tt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt};var Nt=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Rt.x,Rt.y,0);_t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-Ct),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-Ct)):(Vt.ctrlpts[0]=Nt[0]+Pt.x*Et,Vt.ctrlpts[1]=Nt[1]+Pt.y*Et)}Ot&&this.findEndpoints(Bt)}if("multibezier"===Vt.edgeType||"bezier"===Vt.edgeType||"self"===Vt.edgeType||"compound"===Vt.edgeType){for(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),ht=0;ht+1<Vt.ctrlpts.length;ht+=2)Vt.allpts.push(Vt.ctrlpts[ht],Vt.ctrlpts[ht+1]),ht+3<Vt.ctrlpts.length&&Vt.allpts.push((Vt.ctrlpts[ht]+Vt.ctrlpts[ht+2])/2,(Vt.ctrlpts[ht+1]+Vt.ctrlpts[ht+3])/2);var Mt;Vt.allpts.push(Vt.endX,Vt.endY),Vt.ctrlpts.length/2%2==0?(Mt=Vt.allpts.length/2-1,Vt.midX=Vt.allpts[Mt],Vt.midY=Vt.allpts[Mt+1]):(Mt=Vt.allpts.length/2-3,Vt.midX=r.qbezierAt(Vt.allpts[Mt],Vt.allpts[Mt+2],Vt.allpts[Mt+4],.5),Vt.midY=r.qbezierAt(Vt.allpts[Mt+1],Vt.allpts[Mt+3],Vt.allpts[Mt+5],.5))}else if("straight"===Vt.edgeType)Vt.allpts=[Vt.startX,Vt.startY,Vt.endX,Vt.endY],Vt.midX=(Vt.startX+Vt.endX+Vt.arrowStartX+Vt.arrowEndX)/4,Vt.midY=(Vt.startY+Vt.endY+Vt.arrowStartY+Vt.arrowEndY)/4;else if("segments"===Vt.edgeType)if(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),Vt.allpts.push.apply(Vt.allpts,Vt.segpts),Vt.allpts.push(Vt.endX,Vt.endY),Vt.segpts.length%4==0){var zt=Vt.segpts.length/2,Lt=zt-2;Vt.midX=(Vt.segpts[Lt]+Vt.segpts[zt])/2,Vt.midY=(Vt.segpts[Lt+1]+Vt.segpts[zt+1])/2}else Lt=Vt.segpts.length/2-1,Vt.midX=Vt.segpts[Lt],Vt.midY=Vt.segpts[Lt+1];this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt)}this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}for(p=0;p<f.length;p++){var Bt,Ft,qt=(Ft=(Bt=f[p])._private).rscratch,Vt=qt;if(!qt.haystack){var Ut=2*Math.random()*Math.PI;qt.source={x:Math.cos(Ut),y:Math.sin(Ut)},Ut=2*Math.random()*Math.PI,qt.target={x:Math.cos(Ut),y:Math.sin(Ut)}}var Ht=Ft.source,Gt=Ft.target,Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.width(),Zt=Gt.width(),Qt=Ht.height(),Jt=Gt.height(),Kt=(Dt=Bt.pstyle("haystack-radius").value)/2;Vt.haystackPts=Vt.allpts=[Vt.source.x*Xt*Kt+Wt.x,Vt.source.y*Qt*Kt+Wt.y,Vt.target.x*Zt*Kt+Yt.x,Vt.target.y*Jt*Kt+Yt.y],Vt.midX=(Vt.allpts[0]+Vt.allpts[2])/2,Vt.midY=(Vt.allpts[1]+Vt.allpts[3])/2,qt.edgeType=qt.lastCurveStyle="haystack",qt.haystack=!0,this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt),this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}},o.getSegmentPoints=function(e){var t=e[0]._private.rscratch;if("segments"===t.edgeType)return a(t.segpts)},o.getControlPoints=function(e){var t=e[0]._private.rscratch,n=t.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return a(t.ctrlpts)},o.getEdgeMidpoint=function(e){var t=e[0]._private.rscratch;return{x:t.midX,y:t.midY}},e.exports=o},function(e,t,n){"use strict";var r=n(2),i=n(0),o={manualEndptToPx:function(e,t){var n=e.position(),r=e.outerWidth(),i=e.outerHeight();if(2===t.value.length){var o=[t.pfValue[0],t.pfValue[1]];return"%"===t.units[0]&&(o[0]=o[0]*r),"%"===t.units[1]&&(o[1]=o[1]*i),o[0]+=n.x,o[1]+=n.y,o}var a=t.pfValue[0];a=-Math.PI/2+a;var s=2*Math.max(r,i),l=[n.x+Math.cos(a)*s,n.y+Math.sin(a)*s];return this.nodeShapes[this.getNodeShape(e)].intersectLine(n.x,n.y,r,i,l[0],l[1],0)},findEndpoints:function(e){var t=this,n=void 0,o=e.source()[0],a=e.target()[0],s=o.position(),l=a.position(),c=e.pstyle("target-arrow-shape").value,u=e.pstyle("source-arrow-shape").value,d=e.pstyle("target-distance-from-node").pfValue,f=e.pstyle("source-distance-from-node").pfValue,p=e._private.rscratch,h=p.edgeType,g="self"===h||"compound"===h,m="bezier"===h||"multibezier"===h||g,v="bezier"!==h,b="straight"===h||"segments"===h,y="segments"===h,x=m||v||b,w=e.pstyle("source-endpoint"),k=g?"outside-to-node":w.value,A=e.pstyle("target-endpoint"),E=g?"outside-to-node":A.value;p.srcManEndpt=w,p.tgtManEndpt=A;var S=void 0,$=void 0,C=void 0,_=void 0;if(m){var O=[p.ctrlpts[0],p.ctrlpts[1]];S=v?[p.ctrlpts[p.ctrlpts.length-2],p.ctrlpts[p.ctrlpts.length-1]]:O,$=O}else if(b){var j=y?p.segpts.slice(0,2):[l.x,l.y];S=y?p.segpts.slice(p.segpts.length-2):[s.x,s.y],$=j}"inside-to-node"===E?n=[l.x,l.y]:A.units?n=this.manualEndptToPx(a,A):"outside-to-line"===E?n=p.tgtIntn:("outside-to-node"===E?C=S:"outside-to-line"===E&&(C=[s.x,s.y]),n=t.nodeShapes[this.getNodeShape(a)].intersectLine(l.x,l.y,a.outerWidth(),a.outerHeight(),C[0],C[1],0));var T=r.shortenIntersection(n,S,t.arrowShapes[c].spacing(e)+d),P=r.shortenIntersection(n,S,t.arrowShapes[c].gap(e)+d);e.hasClass("horizontal")?(p.endX=n[0]-d,p.endY=n[1],p.arrowEndX=n[0]-d/2,p.arrowEndY=n[1]):e.hasClass("vertical")?(p.endX=n[0],p.endY=n[1]-d,p.arrowEndX=n[0],p.arrowEndY=n[1]-d/2):(p.endX=P[0],p.endY=P[1],p.arrowEndX=T[0],p.arrowEndY=T[1]),"inside-to-node"===k?n=[s.x,s.y]:w.units?n=this.manualEndptToPx(o,w):"outside-to-line"===k?n=p.srcIntn:("outside-to-node"===k?_=$:"outside-to-line"===k&&(_=[l.x,l.y]),n=t.nodeShapes[this.getNodeShape(o)].intersectLine(s.x,s.y,o.outerWidth(),o.outerHeight(),_[0],_[1],0));var D=r.shortenIntersection(n,$,t.arrowShapes[u].spacing(e)+f),R=r.shortenIntersection(n,$,t.arrowShapes[u].gap(e)+f);p.startX=R[0],p.startY=R[1],p.arrowStartX=D[0],p.arrowStartY=D[1],x&&(i.number(p.startX)&&i.number(p.startY)&&i.number(p.endX)&&i.number(p.endY)?p.badLine=!1:p.badLine=!0)},getSourceEndpoint:function(e){var t=e[0]._private.rscratch;switch(t.edgeType){case"haystack":return{x:t.haystackPts[0],y:t.haystackPts[1]};default:return{x:t.arrowStartX,y:t.arrowStartY}}},getTargetEndpoint:function(e){var t=e[0]._private.rscratch;switch(t.edgeType){case"haystack":return{x:t.haystackPts[2],y:t.haystackPts[3]};default:return{x:t.arrowEndX,y:t.arrowEndY}}}};e.exports=o},function(e,t,n){"use strict";var r=n(2),i={};function o(e,t,n){for(var i=function(e,t,n,i){return r.qbezierAt(e,t,n,i)},o=t._private.rstyle.bezierPts,a=0;a<e.bezierProjPcts.length;a++){var s=e.bezierProjPcts[a];o.push({x:i(n[0],n[2],n[4],s),y:i(n[1],n[3],n[5],s)})}}i.storeEdgeProjections=function(e){var t=e._private,n=t.rscratch,r=n.edgeType;if(t.rstyle.bezierPts=null,t.rstyle.linePts=null,t.rstyle.haystackPts=null,"multibezier"===r||"bezier"===r||"self"===r||"compound"===r){t.rstyle.bezierPts=[];for(var i=0;i+5<n.allpts.length;i+=4)o(this,e,n.allpts.slice(i,i+6))}else if("segments"===r){var a=t.rstyle.linePts=[];for(i=0;i+1<n.allpts.length;i+=2)a.push({x:n.allpts[i],y:n.allpts[i+1]})}else if("haystack"===r){var s=n.haystackPts;t.rstyle.haystackPts=[{x:s[0],y:s[1]},{x:s[2],y:s[3]}]}t.rstyle.arrowWidth=this.getArrowWidth(e.pstyle("width").pfValue,e.pstyle("arrow-scale").value)*this.arrowShapeWidth},i.recalculateEdgeProjections=function(e){this.findEdgeControlPoints(e)},e.exports=i},function(e,t,n){"use strict";var r=n(2),i=n(0),o=n(1),a={recalculateNodeLabelProjection:function(e){var t=e.pstyle("label").strValue;if(!i.emptyString(t)){var n,r,o=e._private,a=e.width(),s=e.height(),l=e.padding(),c=e.position(),u=e.pstyle("text-halign").strValue,d=e.pstyle("text-valign").strValue,f=o.rscratch,p=o.rstyle;switch(u){case"left":n=c.x-a/2-l;break;case"right":n=c.x+a/2+l;break;default:n=c.x}switch(d){case"top":r=c.y-s/2-l;break;case"bottom":r=c.y+s/2+l;break;default:r=c.y}f.labelX=n,f.labelY=r,p.labelX=n,p.labelY=r,this.applyLabelDimensions(e)}},recalculateEdgeLabelProjections:function(e){var t,n=e._private,i=n.rscratch,a=this,s={mid:e.pstyle("label").strValue,source:e.pstyle("source-label").strValue,target:e.pstyle("target-label").strValue};if(s.mid||s.source||s.target){t={x:i.midX,y:i.midY};var l=function(e,t,r){o.setPrefixedProperty(n.rscratch,e,t,r),o.setPrefixedProperty(n.rstyle,e,t,r)};l("labelX",null,t.x),l("labelY",null,t.y);var c=function(o){var c,u="source"===o;if(s[o]){var d=e.pstyle(o+"-text-offset").pfValue,f=function(e,t){var n=t.x-e.x,r=t.y-e.y;return 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if(1!=m[4]||null!=x&&!x.isEdge()){if(x&&x.isEdge()&&x.active()&&x.unactivate(),x&&x.grabbed()||v==y||(y&&t(y,["mouseout","tapdragout"],i,{position:{x:p[0],y:p[1]}}),v&&t(v,["mouseover","tapdragover"],i,{position:{x:p[0],y:p[1]}}),e.hoverData.last=v),x)if(b){if(l.boxSelectionEnabled()&&C)x&&x.grabbed()&&(f(k),x.emit("free")),_();else if(x&&x.grabbed()&&e.nodeIsDraggable(x)){var D=!e.dragData.didDrag;D&&e.redrawHint("eles",!0),e.dragData.didDrag=!0;var R=[];e.hoverData.draggingEles||u(l.collection(k),{inDragLayer:!0});for(var I=0;I<k.length;I++){var N=k[I];if(e.nodeIsDraggable(N)&&N.grabbed()){var M=N.position();if(R.push(N),r.number(w[0])&&r.number(w[1])&&(M.x+=w[0],M.y+=w[1],D)){var z=e.hoverData.dragDelta;z&&r.number(z[0])&&r.number(z[1])&&(M.x+=z[0],M.y+=z[1])}}}e.hoverData.draggingEles=!0;var L=l.collection(R);L.dirtyCompoundBoundsCache(),L.emit("position drag"),e.redrawHint("drag",!0),e.redraw()}}else!function(){var t=e.hoverData.dragDelta=e.hoverData.dragDelta||[];0===t.length?(t.push(w[0]),t.push(w[1])):(t[0]+=w[0],t[1]+=w[1])}();s=!0}else b&&(e.hoverData.dragging||!l.boxSelectionEnabled()||!C&&l.panningEnabled()&&l.userPanningEnabled()?!e.hoverData.selecting&&l.panningEnabled()&&l.userPanningEnabled()&&a(x,e.hoverData.downs)&&(e.hoverData.dragging=!0,e.hoverData.justStartedPan=!0,m[4]=0,e.data.bgActivePosistion=o.array2point(h),e.redrawHint("select",!0),e.redraw()):_(),x&&x.isEdge()&&x.active()&&x.unactivate());return m[2]=p[0],m[3]=p[1],s?(i.stopPropagation&&i.stopPropagation(),i.preventDefault&&i.preventDefault(),!1):void 0}}),!1),e.registerBinding(window,"mouseup",(function(r){if(e.hoverData.capture){e.hoverData.capture=!1;var i=e.cy,o=e.projectIntoViewport(r.clientX,r.clientY),a=e.selection,s=e.findNearestElement(o[0],o[1],!0,!1),l=e.dragData.possibleDragElements,c=e.hoverData.down,u=n(r);if(e.data.bgActivePosistion&&(e.redrawHint("select",!0),e.redraw()),e.hoverData.tapholdCancelled=!0,e.data.bgActivePosistion=void 0,c&&c.unactivate(),3===e.hoverData.which){var d={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(c?c.emit(d):i.emit(d),!e.hoverData.cxtDragged){var p={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};c?c.emit(p):i.emit(p)}e.hoverData.cxtDragged=!1,e.hoverData.which=null}else if(1===e.hoverData.which){if(null!=c||e.dragData.didDrag||e.hoverData.selecting||e.hoverData.dragged||n(r)||(i.$((function(e){return e.selected()})).unselect(),l.length>0&&e.redrawHint("eles",!0),e.dragData.possibleDragElements=l=[]),t(s,["mouseup","tapend","vmouseup"],r,{position:{x:o[0],y:o[1]}}),e.dragData.didDrag||e.hoverData.dragged||e.hoverData.selecting||e.hoverData.isOverThresholdDrag||t(c,["click","tap","vclick"],r,{position:{x:o[0],y:o[1]}}),s!=c||e.dragData.didDrag||e.hoverData.selecting||null!=s&&s._private.selectable&&(e.hoverData.dragging||("additive"===i.selectionType()||u?s.selected()?s.unselect():s.select():u||(i.$(":selected").unmerge(s).unselect(),s.select())),e.redrawHint("eles",!0)),e.hoverData.selecting){var h=i.collection(e.getAllInBox(a[0],a[1],a[2],a[3]));e.redrawHint("select",!0),h.length>0&&e.redrawHint("eles",!0),i.emit("boxend");var g=function(e){return e.selectable()&&!e.selected()};"additive"===i.selectionType()||u||i.$(":selected").unmerge(h).unselect(),h.emit("box").stdFilter(g).select().emit("boxselect"),e.redraw()}if(e.hoverData.dragging&&(e.hoverData.dragging=!1,e.redrawHint("select",!0),e.redrawHint("eles",!0),e.redraw()),!a[4]){e.redrawHint("drag",!0),e.redrawHint("eles",!0);var m=c&&c.grabbed();f(l),m&&c.emit("free")}}a[4]=0,e.hoverData.down=null,e.hoverData.cxtStarted=!1,e.hoverData.draggingEles=!1,e.hoverData.selecting=!1,e.hoverData.isOverThresholdDrag=!1,e.dragData.didDrag=!1,e.hoverData.dragged=!1,e.hoverData.dragDelta=[],e.hoverData.mdownPos=null,e.hoverData.mdownGPos=null}}),!1),e.registerBinding(e.container,"wheel",(function(t){if(!e.scrollingPage){var n,r=e.cy,i=e.projectIntoViewport(t.clientX,t.clientY),o=[i[0]*r.zoom()+r.pan().x,i[1]*r.zoom()+r.pan().y];e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.cxtStarted||0!==e.selection[4]?t.preventDefault():r.panningEnabled()&&r.userPanningEnabled()&&r.zoomingEnabled()&&r.userZoomingEnabled()&&(t.preventDefault(),e.data.wheelZooming=!0,clearTimeout(e.data.wheelTimeout),e.data.wheelTimeout=setTimeout((function(){e.data.wheelZooming=!1,e.redrawHint("eles",!0),e.redraw()}),150),n=null!=t.deltaY?t.deltaY/-250:null!=t.wheelDeltaY?t.wheelDeltaY/1e3:t.wheelDelta/1e3,n*=e.wheelSensitivity,1===t.deltaMode&&(n*=33),r.zoom({level:r.zoom()*Math.pow(10,n),renderedPosition:{x:o[0],y:o[1]}}))}}),!0),e.registerBinding(window,"scroll",(function(t){e.scrollingPage=!0,clearTimeout(e.scrollingPageTimeout),e.scrollingPageTimeout=setTimeout((function(){e.scrollingPage=!1}),250)}),!0),e.registerBinding(e.container,"mouseout",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),e.registerBinding(e.container,"mouseover",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var T,P,D,R,I=function(e,t,n,r){return Math.sqrt((n-e)*(n-e)+(r-t)*(r-t))},N=function(e,t,n,r){return(n-e)*(n-e)+(r-t)*(r-t)};if(e.registerBinding(e.container,"touchstart",T=function(n){if(j(n)){e.touchData.capture=!0,e.data.bgActivePosistion=void 0;var r=e.cy,i=e.touchData.now,o=e.touchData.earlier;if(n.touches[0]){var a=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);i[0]=a[0],i[1]=a[1]}if(n.touches[1]&&(a=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),i[2]=a[0],i[3]=a[1]),n.touches[2]&&(a=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),i[4]=a[0],i[5]=a[1]),n.touches[1]){f(e.dragData.touchDragEles);var s=e.findContainerClientCoords();S=s[0],$=s[1],C=s[2],_=s[3],v=n.touches[0].clientX-S,b=n.touches[0].clientY-$,y=n.touches[1].clientX-S,x=n.touches[1].clientY-$,O=0<=v&&v<=C&&0<=y&&y<=C&&0<=b&&b<=_&&0<=x&&x<=_;var c=r.pan(),p=r.zoom();if(w=I(v,b,y,x),k=N(v,b,y,x),E=[((A=[(v+y)/2,(b+x)/2])[0]-c.x)/p,(A[1]-c.y)/p],k<4e4&&!n.touches[2]){var h=e.findNearestElement(i[0],i[1],!0,!0),g=e.findNearestElement(i[2],i[3],!0,!0);return h&&h.isNode()?(h.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=h):g&&g.isNode()?(g.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=g):r.emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!0,e.touchData.cxtDragged=!1,e.data.bgActivePosistion=void 0,void e.redraw()}}if(n.touches[2]);else if(n.touches[1]);else if(n.touches[0]){var m=e.findNearestElements(i[0],i[1],!0,!0),T=m[0];if(null!=T&&(T.activate(),e.touchData.start=T,e.touchData.starts=m,e.nodeIsGrabbable(T))){var P=e.dragData.touchDragEles=[],D=null;e.redrawHint("eles",!0),e.redrawHint("drag",!0),T.selected()?(D=r.$((function(t){return t.selected()&&e.nodeIsGrabbable(t)})),u(D,{addToList:P})):d(T,{addToList:P}),l(T);var R=function(e){return{originalEvent:n,type:e,position:{x:i[0],y:i[1]}}};T.emit(R("grabon")),D?D.forEach((function(e){e.emit(R("grab"))})):T.emit(R("grab"))}t(T,["touchstart","tapstart","vmousedown"],n,{position:{x:i[0],y:i[1]}}),null==T&&(e.data.bgActivePosistion={x:a[0],y:a[1]},e.redrawHint("select",!0),e.redraw()),e.touchData.singleTouchMoved=!1,e.touchData.singleTouchStartTime=+new Date,clearTimeout(e.touchData.tapholdTimeout),e.touchData.tapholdTimeout=setTimeout((function(){!1!==e.touchData.singleTouchMoved||e.pinching||e.touchData.selecting||(t(e.touchData.start,["taphold"],n,{position:{x:i[0],y:i[1]}}),e.touchData.start||r.$(":selected").unselect())}),e.tapholdDuration)}if(n.touches.length>=1){for(var M=e.touchData.startPosition=[],z=0;z<i.length;z++)M[z]=o[z]=i[z];var L=n.touches[0];e.touchData.startGPosition=[L.clientX,L.clientY]}}},!1),e.registerBinding(window,"touchmove",P=function(n){var i=e.touchData.capture;if(i||j(n)){var s=e.selection,l=e.cy,c=e.touchData.now,d=e.touchData.earlier,p=l.zoom();if(n.touches[0]){var h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);c[0]=h[0],c[1]=h[1]}n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1]);var g,m=e.touchData.startGPosition;if(i&&n.touches[0]&&m){for(var A=[],C=0;C<c.length;C++)A[C]=c[C]-d[C];var _=n.touches[0].clientX-m[0],T=_*_,P=n.touches[0].clientY-m[1];g=T+P*P>=e.touchTapThreshold2}if(i&&e.touchData.cxt){n.preventDefault();var D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$,L=N(D,R,M,z);if(L/k>=2.25||L>=22500){e.touchData.cxt=!1,e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var B={originalEvent:n,type:"cxttapend",position:{x:c[0],y:c[1]}};e.touchData.start?(e.touchData.start.unactivate().emit(B),e.touchData.start=null):l.emit(B)}}if(i&&e.touchData.cxt){B={originalEvent:n,type:"cxtdrag",position:{x:c[0],y:c[1]}},e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.touchData.start?e.touchData.start.emit(B):l.emit(B),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxtDragged=!0;var F=e.findNearestElement(c[0],c[1],!0,!0);e.touchData.cxtOver&&F===e.touchData.cxtOver||(e.touchData.cxtOver&&e.touchData.cxtOver.emit({originalEvent:n,type:"cxtdragout",position:{x:c[0],y:c[1]}}),e.touchData.cxtOver=F,F&&F.emit({originalEvent:n,type:"cxtdragover",position:{x:c[0],y:c[1]}}))}else if(i&&n.touches[2]&&l.boxSelectionEnabled())n.preventDefault(),e.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,e.touchData.selecting||l.emit("boxstart"),e.touchData.selecting=!0,e.redrawHint("select",!0),s&&0!==s.length&&void 0!==s[0]?(s[2]=(c[0]+c[2]+c[4])/3,s[3]=(c[1]+c[3]+c[5])/3):(s[0]=(c[0]+c[2]+c[4])/3,s[1]=(c[1]+c[3]+c[5])/3,s[2]=(c[0]+c[2]+c[4])/3+1,s[3]=(c[1]+c[3]+c[5])/3+1),s[4]=1,e.touchData.selecting=!0,e.redraw();else if(i&&n.touches[1]&&l.zoomingEnabled()&&l.panningEnabled()&&l.userZoomingEnabled()&&l.userPanningEnabled()){if(n.preventDefault(),e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),ee=e.dragData.touchDragEles){e.redrawHint("drag",!0);for(var q=0;q<ee.length;q++){var V=ee[q]._private;V.grabbed=!1,V.rscratch.inDragLayer=!1}}D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$;var U=I(D,R,M,z),H=U/w;if(O){var G=(D-v+(M-y))/2,W=(R-b+(z-x))/2,Y=l.zoom(),X=Y*H,Z=l.pan(),Q=E[0]*Y+Z.x,J=E[1]*Y+Z.y,K={x:-X/Y*(Q-Z.x-G)+Q,y:-X/Y*(J-Z.y-W)+J};if(e.touchData.start&&e.touchData.start.active()){var ee=e.dragData.touchDragEles;f(ee),e.redrawHint("drag",!0),e.redrawHint("eles",!0),e.touchData.start.unactivate().emit("free")}l.viewport({zoom:X,pan:K,cancelOnFailedZoom:!0}),w=U,v=D,b=R,y=M,x=z,e.pinching=!0}n.touches[0]&&(h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1]),n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1])}else if(n.touches[0]){var te=e.touchData.start,ne=e.touchData.last;if(e.hoverData.draggingEles||e.swipePanning||(F=e.findNearestElement(c[0],c[1],!0,!0)),i&&null!=te&&n.preventDefault(),i&&null!=te&&e.nodeIsDraggable(te))if(g){ee=e.dragData.touchDragEles;var re=!e.dragData.didDrag;re&&u(l.collection(ee),{inDragLayer:!0});for(var ie=0;ie<ee.length;ie++){var oe=ee[ie];if(e.nodeIsDraggable(oe)&&oe.grabbed()){e.dragData.didDrag=!0;var ae=oe.position();r.number(A[0])&&r.number(A[1])&&(ae.x+=A[0],ae.y+=A[1]),re&&(e.redrawHint("eles",!0),(le=e.touchData.dragDelta)&&r.number(le[0])&&r.number(le[1])&&(ae.x+=le[0],ae.y+=le[1]))}}var se=l.collection(ee);se.dirtyCompoundBoundsCache(),se.emit("position drag"),e.hoverData.draggingEles=!0,e.redrawHint("drag",!0),e.touchData.startPosition[0]==d[0]&&e.touchData.startPosition[1]==d[1]&&e.redrawHint("eles",!0),e.redraw()}else{var le;0===(le=e.touchData.dragDelta=e.touchData.dragDelta||[]).length?(le.push(A[0]),le.push(A[1])):(le[0]+=A[0],le[1]+=A[1])}if(t(te||F,["touchmove","tapdrag","vmousemove"],n,{position:{x:c[0],y:c[1]}}),te&&te.grabbed()||F==ne||(ne&&ne.emit({originalEvent:n,type:"tapdragout",position:{x:c[0],y:c[1]}}),F&&F.emit({originalEvent:n,type:"tapdragover",position:{x:c[0],y:c[1]}})),e.touchData.last=F,i)for(q=0;q<c.length;q++)c[q]&&e.touchData.startPosition[q]&&g&&(e.touchData.singleTouchMoved=!0);i&&(null==te||te.isEdge())&&l.panningEnabled()&&l.userPanningEnabled()&&(a(te,e.touchData.starts)&&(n.preventDefault(),e.swipePanning?l.panBy({x:A[0]*p,y:A[1]*p}):g&&(e.swipePanning=!0,l.panBy({x:_*p,y:P*p}),te&&(te.unactivate(),e.data.bgActivePosistion||(e.data.bgActivePosistion=o.array2point(e.touchData.startPosition)),e.redrawHint("select",!0),e.touchData.start=null))),h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1])}for(C=0;C<c.length;C++)d[C]=c[C]}},!1),e.registerBinding(window,"touchcancel",D=function(t){var n=e.touchData.start;e.touchData.capture=!1,n&&n.unactivate()}),e.registerBinding(window,"touchend",R=function(n){var r=e.touchData.start;if(e.touchData.capture){e.touchData.capture=!1,n.preventDefault();var i=e.selection;e.swipePanning=!1,e.hoverData.draggingEles=!1;var o,a=e.cy,s=a.zoom(),l=e.touchData.now,c=e.touchData.earlier;if(n.touches[0]){var u=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);l[0]=u[0],l[1]=u[1]}if(n.touches[1]&&(u=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),l[2]=u[0],l[3]=u[1]),n.touches[2]&&(u=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),l[4]=u[0],l[5]=u[1]),r&&r.unactivate(),e.touchData.cxt){if(o={originalEvent:n,type:"cxttapend",position:{x:l[0],y:l[1]}},r?r.emit(o):a.emit(o),!e.touchData.cxtDragged){var d={originalEvent:n,type:"cxttap",position:{x:l[0],y:l[1]}};r?r.emit(d):a.emit(d)}return e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!1,e.touchData.start=null,void e.redraw()}if(!n.touches[2]&&a.boxSelectionEnabled()&&e.touchData.selecting){e.touchData.selecting=!1;var p=a.collection(e.getAllInBox(i[0],i[1],i[2],i[3]));i[0]=void 0,i[1]=void 0,i[2]=void 0,i[3]=void 0,i[4]=0,e.redrawHint("select",!0),a.emit("boxend"),p.emit("box").stdFilter((function(e){return e.selectable()&&!e.selected()})).select().emit("boxselect"),p.nonempty()&&e.redrawHint("eles",!0),e.redraw()}if(null!=r&&r.unactivate(),n.touches[2])e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);else if(n.touches[1]);else if(n.touches[0]);else if(!n.touches[0]){e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var h=e.dragData.touchDragEles;if(null!=r){var g=r._private.grabbed;f(h),e.redrawHint("drag",!0),e.redrawHint("eles",!0),g&&r.emit("free"),t(r,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}}),r.unactivate(),e.touchData.start=null}else{var m=e.findNearestElement(l[0],l[1],!0,!0);t(m,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}})}var v=e.touchData.startPosition[0]-l[0],b=v*v,y=e.touchData.startPosition[1]-l[1],x=(b+y*y)*s*s;null!=r&&!e.dragData.didDrag&&r._private.selectable&&x<e.touchTapThreshold2&&!e.pinching&&("single"===a.selectionType()?(a.$(":selected").unmerge(r).unselect(),r.select()):r.selected()?r.unselect():r.select(),e.redrawHint("eles",!0)),e.touchData.singleTouchMoved||t(r,["tap","vclick"],n,{position:{x:l[0],y:l[1]}}),e.touchData.singleTouchMoved=!0}for(var w=0;w<l.length;w++)c[w]=l[w];e.dragData.didDrag=!1,0===n.touches.length&&(e.touchData.dragDelta=[],e.touchData.startPosition=null,e.touchData.startGPosition=null),n.touches.length<2&&(e.pinching=!1,e.redrawHint("eles",!0),e.redraw())}},!1),"undefined"==typeof TouchEvent){var M=[],z=function(e){return{clientX:e.clientX,clientY:e.clientY,force:1,identifier:e.pointerId,pageX:e.pageX,pageY:e.pageY,radiusX:e.width/2,radiusY:e.height/2,screenX:e.screenX,screenY:e.screenY,target:e.target}},L=function(e){M.push(function(e){return{event:e,touch:z(e)}}(e))},B=function(e){for(var t=0;t<M.length;t++)if(M[t].event.pointerId===e.pointerId)return void M.splice(t,1)},F=function(e){e.touches=M.map((function(e){return e.touch}))},q=function(e){return"mouse"===e.pointerType||4===e.pointerType};e.registerBinding(e.container,"pointerdown",(function(e){q(e)||(e.preventDefault(),L(e),F(e),T(e))})),e.registerBinding(e.container,"pointerup",(function(e){q(e)||(B(e),F(e),R(e))})),e.registerBinding(e.container,"pointercancel",(function(e){q(e)||(B(e),F(e),D())})),e.registerBinding(e.container,"pointermove",(function(e){q(e)||(e.preventDefault(),function(e){var t=M.filter((function(t){return t.event.pointerId===e.pointerId}))[0];t.event=e,t.touch=z(e)}(e),F(e),P(e))}))}},e.exports=a},function(e,t,n){"use strict";var r=n(2),i={generatePolygon:function(e,t){return this.nodeShapes[e]={renderer:this,name:e,points:t,draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl("polygon",e,t,n,r,i,this.points)},intersectLine:function(e,t,n,i,o,a,s){return r.polygonIntersectLine(o,a,this.points,e,t,n/2,i/2,s)},checkPoint:function(e,t,n,i,o,a,s){return r.pointInsidePolygon(e,t,this.points,a,s,i,o,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.intersectLineEllipse(o,a,e,t,n/2+s,i/2+s)},checkPoint:function(e,t,n,i,o,a,s){return r.checkInEllipse(e,t,i,o,a,s,n)}}},generateRoundRectangle:function(){return this.nodeShapes.roundrectangle={renderer:this,name:"roundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;return!!(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n)||r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n))}}},generateCutRectangle:function(){return this.nodeShapes.cutrectangle={renderer:this,name:"cutrectangle",cornerLength:r.getCutRectangleCornerLength(),points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},generateCutTrianglePts:function(e,t,n,r){var i=this.cornerLength,o=t/2,a=e/2,s=n-a,l=n+a,c=r-o,u=r+o;return{topLeft:[s,c+i,s+i,c,s+i,c+i],topRight:[l-i,c,l,c+i,l-i,c+i],bottomRight:[l,u-i,l-i,u,l-i,u-i],bottomLeft:[s+i,u,s,u-i,s+i,u-i]}},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateCutTrianglePts(n+2*s,i+2*s,e,t),c=[].concat.apply([],[l.topLeft.splice(0,4),l.topRight.splice(0,4),l.bottomRight.splice(0,4),l.bottomLeft.splice(0,4)]);return r.polygonIntersectLine(o,a,c,e,t)},checkPoint:function(e,t,n,i,o,a,s){if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*this.cornerLength,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*this.cornerLength,o,[0,-1],n))return!0;var l=this.generateCutTrianglePts(i,o,a,s);return r.pointInsidePolygonPoints(e,t,l.topLeft)||r.pointInsidePolygonPoints(e,t,l.topRight)||r.pointInsidePolygonPoints(e,t,l.bottomRight)||r.pointInsidePolygonPoints(e,t,l.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateBarrelBezierPts(n+2*s,i+2*s,e,t),c=function(e){var t=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.15),n=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.5),i=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.85);return[e[0],e[1],t.x,t.y,n.x,n.y,i.x,i.y,e[4],e[5]]},u=[].concat(c(l.topLeft),c(l.topRight),c(l.bottomRight),c(l.bottomLeft));return r.polygonIntersectLine(o,a,u,e,t)},generateBarrelBezierPts:function(e,t,n,i){var o=t/2,a=e/2,s=n-a,l=n+a,c=i-o,u=i+o,d=r.getBarrelCurveConstants(e,t),f=d.heightOffset,p=d.widthOffset,h=d.ctrlPtOffsetPct*e,g={topLeft:[s,c+f,s+h,c,s+p,c],topRight:[l-p,c,l-h,c,l,c+f],bottomRight:[l,u-f,l-h,u,l-p,u],bottomLeft:[s+p,u,s+h,u,s,u-f]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(e,t,n,i,o,a,s){var l=r.getBarrelCurveConstants(i,o),c=l.heightOffset,u=l.widthOffset;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*u,o,[0,-1],n))return!0;for(var d=this.generateBarrelBezierPts(i,o,a,s),f=function(e,t,n){var i=n[4],o=n[2],a=n[0],s=n[5],l=n[1],c=Math.min(i,a),u=Math.max(i,a),d=Math.min(s,l),f=Math.max(s,l);if(c<=e&&e<=u&&d<=t&&t<=f){var p=r.bezierPtsToQuadCoeff(i,o,a),h=r.solveQuadratic(p[0],p[1],p[2],e).filter((function(e){return 0<=e&&e<=1}));if(h.length>0)return h[0]}return null},p=Object.keys(d),h=0;h<p.length;h++){var g=d[p[h]],m=f(e,t,g);if(null!=m){var v=g[5],b=g[3],y=g[1],x=r.qbezierAt(v,b,y,m);if(g.isTop&&x<=t)return!0;if(g.isBottom&&t<=x)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottomroundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=e-(n/2+s),c=t-(i/2+s),u=c,d=e+(n/2+s),f=r.finiteLinesIntersect(o,a,e,t,l,c,d,u,!1);return f.length>0?f:r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n))return!0;var u=i/2+2*n,d=o/2+2*n,f=[a-u,s-d,a-u,s,a+u,s,a+u,s-d];return!!r.pointInsidePolygonPoints(e,t,f)||!!r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||!!r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n)}}},registerNodeShapes:function(){var e=this.nodeShapes={},t=this;this.generateEllipse(),this.generatePolygon("triangle",r.generateUnitNgonPointsFitToSquare(3,0)),this.generatePolygon("rectangle",r.generateUnitNgonPointsFitToSquare(4,0)),e.square=e.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle(),this.generatePolygon("diamond",[0,1,1,0,0,-1,-1,0]),this.generatePolygon("pentagon",r.generateUnitNgonPointsFitToSquare(5,0)),this.generatePolygon("hexagon",r.generateUnitNgonPointsFitToSquare(6,0)),this.generatePolygon("heptagon",r.generateUnitNgonPointsFitToSquare(7,0)),this.generatePolygon("octagon",r.generateUnitNgonPointsFitToSquare(8,0));var n=new Array(20),i=r.generateUnitNgonPoints(5,0),o=r.generateUnitNgonPoints(5,Math.PI/5),a=.5*(3-Math.sqrt(5));a*=1.57;for(var s=0;s<o.length/2;s++)o[2*s]*=a,o[2*s+1]*=a;for(s=0;s<5;s++)n[4*s]=i[2*s],n[4*s+1]=i[2*s+1],n[4*s+2]=o[2*s],n[4*s+3]=o[2*s+1];n=r.fitPolygonToSquare(n),this.generatePolygon("star",n),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.generatePolygon("concavehexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]),this.generatePolygon("tag",[-1,-1,.25,-1,1,0,.25,1,-1,1]),e.makePolygon=function(e){var n,r="polygon-"+e.join("$");return(n=this[r])?n:t.generatePolygon(r,e)}}};e.exports=i},function(e,t,n){"use strict";var r=n(1),i={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(e){e=e||r.staticEmptyObject();var t=this;void 0===t.averageRedrawTime&&(t.averageRedrawTime=0),void 0===t.lastRedrawTime&&(t.lastRedrawTime=0),void 0===t.lastDrawTime&&(t.lastDrawTime=0),t.requestedFrame=!0,t.renderOptions=e},beforeRender:function(e,t){if(!this.destroyed){t=t||0;var n=this.beforeRenderCallbacks;n.push({fn:e,priority:t}),n.sort((function(e,t){return t.priority-e.priority}))}}},o=function(e,t,n){for(var r=e.beforeRenderCallbacks,i=0;i<r.length;i++)r[i].fn(t,n)};i.startRenderLoop=function(){var e=this;e.renderLoopStarted||(e.renderLoopStarted=!0,r.requestAnimationFrame((function t(n){if(!e.destroyed){if(e.requestedFrame&&!e.skipFrame){o(e,!0,n);var i=r.performanceNow();e.render(e.renderOptions);var a=e.lastDrawTime=r.performanceNow();void 0===e.averageRedrawTime&&(e.averageRedrawTime=a-i),void 0===e.redrawCount&&(e.redrawCount=0),e.redrawCount++,void 0===e.redrawTotalTime&&(e.redrawTotalTime=0);var s=a-i;e.redrawTotalTime+=s,e.lastRedrawTime=s,e.averageRedrawTime=e.averageRedrawTime/2+s/2,e.requestedFrame=!1}else o(e,!1,n);e.skipFrame=!1,r.requestAnimationFrame(t)}})))},e.exports=i},function(e,t,n){"use strict";var r=n(1),i=n(0),o=n(124),a=n(125),s=c,l=c.prototype;function c(e){var t=this;t.data={canvases:new Array(l.CANVAS_LAYERS),contexts:new Array(l.CANVAS_LAYERS),canvasNeedsRedraw:new Array(l.CANVAS_LAYERS),bufferCanvases:new Array(l.BUFFER_COUNT),bufferContexts:new Array(l.CANVAS_LAYERS)};var n="-webkit-tap-highlight-color: rgba(0,0,0,0);";t.data.canvasContainer=document.createElement("div");var r=t.data.canvasContainer.style;t.data.canvasContainer.setAttribute("style",n),r.position="relative",r.zIndex="0",r.overflow="hidden";var s=e.cy.container();s.appendChild(t.data.canvasContainer),(s.getAttribute("style")||"").indexOf(n)<0&&s.setAttribute("style",(s.getAttribute("style")||"")+n);for(var c=0;c<l.CANVAS_LAYERS;c++){var u=t.data.canvases[c]=document.createElement("canvas");t.data.contexts[c]=u.getContext("2d"),u.setAttribute("style","-webkit-user-select: none; -moz-user-select: -moz-none; user-select: none; -webkit-tap-highlight-color: rgba(0,0,0,0); outline-style: none;"+(i.ms()?" -ms-touch-action: none; touch-action: none; ":"")),u.style.position="absolute",u.setAttribute("data-id","layer"+c),u.style.zIndex=String(l.CANVAS_LAYERS-c),t.data.canvasContainer.appendChild(u),t.data.canvasNeedsRedraw[c]=!1}for(t.data.topCanvas=t.data.canvases[0],t.data.canvases[l.NODE].setAttribute("data-id","layer"+l.NODE+"-node"),t.data.canvases[l.SELECT_BOX].setAttribute("data-id","layer"+l.SELECT_BOX+"-selectbox"),t.data.canvases[l.DRAG].setAttribute("data-id","layer"+l.DRAG+"-drag"),c=0;c<l.BUFFER_COUNT;c++)t.data.bufferCanvases[c]=document.createElement("canvas"),t.data.bufferContexts[c]=t.data.bufferCanvases[c].getContext("2d"),t.data.bufferCanvases[c].style.position="absolute",t.data.bufferCanvases[c].setAttribute("data-id","buffer"+c),t.data.bufferCanvases[c].style.zIndex=String(-c-1),t.data.bufferCanvases[c].style.visibility="hidden";t.pathsEnabled=!0,t.data.eleTxrCache=new o(t),t.data.lyrTxrCache=new a(t,t.data.eleTxrCache),t.onUpdateEleCalcs((function(e,n){for(var r=0;r<n.length;r++){var i=n[r],o=i._private.rstyle,a=o.dirtyEvents;if(i.isNode()&&a&&1===a.length&&a.position);else if(t.data.eleTxrCache.invalidateElement(i),i.isParent()&&a.style){var s=o.prevParentOpacity,l=i.pstyle("opacity").pfValue;if(o.prevParentOpacity=l,s!==l)for(var c=i.descendants(),u=0;u<c.length;u++)t.data.eleTxrCache.invalidateElement(c[u])}}n.length>0&&t.data.lyrTxrCache.invalidateElements(n)}))}l.CANVAS_LAYERS=3,l.SELECT_BOX=0,l.DRAG=1,l.NODE=2,l.BUFFER_COUNT=3,l.TEXTURE_BUFFER=0,l.MOTIONBLUR_BUFFER_NODE=1,l.MOTIONBLUR_BUFFER_DRAG=2,l.redrawHint=function(e,t){var n=this;switch(e){case"eles":n.data.canvasNeedsRedraw[l.NODE]=t;break;case"drag":n.data.canvasNeedsRedraw[l.DRAG]=t;break;case"select":n.data.canvasNeedsRedraw[l.SELECT_BOX]=t}};var u="undefined"!=typeof Path2D;l.path2dEnabled=function(e){if(void 0===e)return this.pathsEnabled;this.pathsEnabled=!!e},l.usePaths=function(){return u&&this.pathsEnabled},[n(126),n(127),n(128),n(129),n(130),n(131),n(132),n(133),n(134),n(135)].forEach((function(e){r.extend(l,e)})),e.exports=s},function(e,t,n){"use strict";var r=n(2),i=n(1),o=n(9),a=n(19),s={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},l=function(e){this.renderer=e,this.onDequeues=[],this.setupDequeueing()},c=l.prototype;c.reasons=s,c.getTextureQueue=function(e){return this.eleImgCaches=this.eleImgCaches||{},this.eleImgCaches[e]=this.eleImgCaches[e]||[]},c.getRetiredTextureQueue=function(e){var t=this.eleImgCaches.retired=this.eleImgCaches.retired||{};return t[e]=t[e]||[]},c.getElementQueue=function(){return this.eleCacheQueue=this.eleCacheQueue||new o((function(e,t){return t.reqs-e.reqs}))},c.getElementIdToQueue=function(){return this.eleIdToCacheQueue=this.eleIdToCacheQueue||{}},c.getElement=function(e,t,n,i,o){var a=this,l=this.renderer,c=e._private.rscratch,u=l.cy.zoom();if(0===t.w||0===t.h||!e.visible())return 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o=this,a=n.position(),s=a.x,l=a.y,c=n.cy().style(),u=c.getIndexedStyle.bind(c),d=u(n,"background-fit","value",r),f=u(n,"background-repeat","value",r),p=n.width(),h=n.height(),g=2*n.padding(),m=p+("inner"===u(n,"background-width-relative-to","value",r)?0:g),v=h+("inner"===u(n,"background-height-relative-to","value",r)?0:g),b=n._private.rscratch,y="node"===n.pstyle("background-clip").value,x=u(n,"background-image-opacity","value",r)*i,w=t.width||t.cachedW,k=t.height||t.cachedH;null!=w&&null!=k||(document.body.appendChild(t),w=t.cachedW=t.width||t.offsetWidth,k=t.cachedH=t.height||t.offsetHeight,document.body.removeChild(t));var A=w,E=k;if("auto"!==u(n,"background-width","value",r)&&(A="%"===u(n,"background-width","units",r)?u(n,"background-width","pfValue",r)*m:u(n,"background-width","pfValue",r)),"auto"!==u(n,"background-height","value",r)&&(E="%"===u(n,"background-height","units",r)?u(n,"background-height","pfValue",r)*v:u(n,"background-height","pfValue",r)),0!==A&&0!==E){if("contain"===d)A*=S=Math.min(m/A,v/E),E*=S;else if("cover"===d){var S;A*=S=Math.max(m/A,v/E),E*=S}var $=s-m/2;"%"===u(n,"background-position-x","units",r)?$+=(m-A)*u(n,"background-position-x","pfValue",r):$+=u(n,"background-position-x","pfValue",r);var C=l-v/2;"%"===u(n,"background-position-y","units",r)?C+=(v-E)*u(n,"background-position-y","pfValue",r):C+=u(n,"background-position-y","pfValue",r),b.pathCache&&($-=s,C-=l,s=0,l=0);var 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i=t.pstyle("text-halign").strValue;switch(t.pstyle("text-valign").strValue,i){case"left":e.textAlign="right";break;case"right":e.textAlign="left";break;default:e.textAlign="center"}e.textBaseline="bottom"}else{var o=t.pstyle("label"),a=t.pstyle("source-label"),s=t.pstyle("target-label");if(!(o&&o.value||a&&a.value||s&&s.value))return;e.textAlign="center",e.textBaseline="bottom"}r.drawText(e,t),t.isEdge()&&(r.drawText(e,t,"source"),r.drawText(e,t,"target"))}};o.drawNodeText=o.drawEdgeText=o.drawElementText,o.getFontCache=function(e){var t;this.fontCaches=this.fontCaches||[];for(var n=0;n<this.fontCaches.length;n++)if((t=this.fontCaches[n]).context===e)return t;return t={context:e},this.fontCaches.push(t),t},o.setupTextStyle=function(e,t){var n=t.effectiveOpacity(),r=t.pstyle("font-style").strValue,i=t.pstyle("font-size").pfValue+"px",o=t.pstyle("font-family").strValue,a=t.pstyle("font-weight").strValue,s=t.pstyle("text-opacity").value*t.pstyle("opacity").value*n,l=t.pstyle("text-outline-opacity").value*s,c=t.pstyle("color").value,u=t.pstyle("text-outline-color").value,d=t._private.fontKey,f=this.getFontCache(e);f.key!==d&&(e.font=r+" "+a+" "+i+" "+o,f.key=d),e.lineJoin="round",this.fillStyle(e,c[0],c[1],c[2],s),this.strokeStyle(e,u[0],u[1],u[2],l)},o.drawText=function(e,t,n){var i=t._private.rscratch,o=t.effectiveOpacity();if(0!==o&&0!==t.pstyle("text-opacity").value){var a,s,l,c,u,d,f=r.getPrefixedProperty(i,"labelX",n),p=r.getPrefixedProperty(i,"labelY",n),h=this.getLabelText(t,n);if(null!=h&&""!==h&&!isNaN(f)&&!isNaN(p)){this.setupTextStyle(e,t);var g=n?n+"-":"",m=r.getPrefixedProperty(i,"labelWidth",n),v=r.getPrefixedProperty(i,"labelHeight",n),b=r.getPrefixedProperty(i,"labelAngle",n),y=t.pstyle(g+"text-margin-x").pfValue,x=t.pstyle(g+"text-margin-y").pfValue,w=t.isEdge(),k=(t.isNode(),t.pstyle("text-halign").value),A=t.pstyle("text-valign").value;w&&(k="center",A="center"),f+=y,p+=x;var E,S=t.pstyle("text-rotation");if(0!==(E="autorotate"===S.strValue?w?b:0:"none"===S.strValue?0:S.pfValue)){var $=f,C=p;e.translate($,C),e.rotate(E),f=0,p=0}switch(A){case"top":break;case"center":p+=v/2;break;case"bottom":p+=v}var _=t.pstyle("text-background-opacity").value,O=t.pstyle("text-border-opacity").value,j=t.pstyle("text-border-width").pfValue,T=t.pstyle("text-background-padding").pfValue;if(_>0||j>0&&O>0){var P=f-T;switch(k){case"left":P-=m;break;case"center":P-=m/2}var D=p-v-T,R=m+2*T,I=v+2*T;if(_>0){var N=e.fillStyle,M=t.pstyle("text-background-color").value;e.fillStyle="rgba("+M[0]+","+M[1]+","+M[2]+","+_*o+")","roundrectangle"==t.pstyle("text-background-shape").strValue?(s=P,l=D,c=R,u=I,d=(d=2)||5,(a=e).beginPath(),a.moveTo(s+d,l),a.lineTo(s+c-d,l),a.quadraticCurveTo(s+c,l,s+c,l+d),a.lineTo(s+c,l+u-d),a.quadraticCurveTo(s+c,l+u,s+c-d,l+u),a.lineTo(s+d,l+u),a.quadraticCurveTo(s,l+u,s,l+u-d),a.lineTo(s,l+d),a.quadraticCurveTo(s,l,s+d,l),a.closePath(),a.fill()):e.fillRect(P,D,R,I),e.fillStyle=N}if(j>0&&O>0){var z=e.strokeStyle,L=e.lineWidth,B=t.pstyle("text-border-color").value,F=t.pstyle("text-border-style").value;if(e.strokeStyle="rgba("+B[0]+","+B[1]+","+B[2]+","+O*o+")",e.lineWidth=j,e.setLineDash)switch(F){case"dotted":e.setLineDash([1,1]);break;case"dashed":e.setLineDash([4,2]);break;case"double":e.lineWidth=j/4,e.setLineDash([]);break;case"solid":e.setLineDash([])}if(e.strokeRect(P,D,R,I),"double"===F){var q=j/2;e.strokeRect(P+q,D+q,R-2*q,I-2*q)}e.setLineDash&&e.setLineDash([]),e.lineWidth=L,e.strokeStyle=z}}var V=2*t.pstyle("text-outline-width").pfValue;if(V>0&&(e.lineWidth=V),"wrap"===t.pstyle("text-wrap").value){var U=r.getPrefixedProperty(i,"labelWrapCachedLines",n),H=v/U.length;switch(A){case"top":p-=(U.length-1)*H;break;case"center":case"bottom":p-=(U.length-1)*H}for(var G=0;G<U.length;G++)V>0&&e.strokeText(U[G],f,p),e.fillText(U[G],f,p),p+=H}else V>0&&e.strokeText(h,f,p),e.fillText(h,f,p);0!==E&&(e.rotate(-E),e.translate(-$,-C))}}},e.exports=o},function(e,t,n){"use strict";var r=n(0),i={drawNode:function(e,t,n,i){var o,a,s=this,l=t._private,c=l.rscratch,u=t.position();if(r.number(u.x)&&r.number(u.y)&&t.visible()){var d=t.effectiveOpacity(),f=s.usePaths(),p=void 0,h=!1,g=t.padding();o=t.width()+2*g,a=t.height()+2*g;var m=void 0;n&&(m=n,e.translate(-m.x1,-m.y1));for(var v=t.pstyle("background-image").value,b=new Array(v.length),y=new Array(v.length),x=0,w=0;w<v.length;w++){var k=v[w];if(b[w]=null!=k&&"none"!==k){var A=t.cy().style().getIndexedStyle(t,"background-image-crossorigin","value",w);x++,y[w]=s.getCachedImage(k,A,(function(){t.emitAndNotify("background")}))}}var E=t.pstyle("background-blacken").value,S=t.pstyle("border-width").pfValue,$=t.pstyle("background-color").value,C=t.pstyle("background-opacity").value*d,_=t.pstyle("border-color").value,O=t.pstyle("border-style").value,j=t.pstyle("border-opacity").value*d;e.lineJoin="miter";var T=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:C;s.fillStyle(e,$[0],$[1],$[2],t)},P=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:j;s.strokeStyle(e,_[0],_[1],_[2],t)},D=t.pstyle("shape").strValue,R=t.pstyle("shape-polygon-points").pfValue;if(f){var I=D+"$"+o+"$"+a+("polygon"===D?"$"+R.join("$"):"");e.translate(u.x,u.y),c.pathCacheKey===I?(p=c.pathCache,h=!0):(p=new Path2D,c.pathCacheKey=I,c.pathCache=p)}var N,M,z,L=function(){if(!h){var n=u;f&&(n={x:0,y:0}),s.nodeShapes[s.getNodeShape(t)].draw(p||e,n.x,n.y,o,a)}f?e.fill(p):e.fill()},B=function(){for(var n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:d,r=l.backgrounding,i=0,o=0;o<y.length;o++)b[o]&&y[o].complete&&!y[o].error&&(i++,s.drawInscribedImage(e,y[o],t,o,n));l.backgrounding=!(i===x),r!==l.backgrounding&&t.updateStyle(!1)},F=function(){var n=arguments.length>0&&void 0!==arguments[0]&&arguments[0],r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:d;s.hasPie(t)&&(s.drawPie(e,t,r),n&&(f||s.nodeShapes[s.getNodeShape(t)].draw(e,u.x,u.y,o,a)))},q=function(){var t=arguments.length>0&&void 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U=t.pstyle("ghost-offset-x").pfValue,H=t.pstyle("ghost-offset-y").pfValue,G=t.pstyle("ghost-opacity").value,W=G*d;e.translate(U,H),T(G*C),L(),B(W),F(0!==E||0!==S),q(W),P(G*j),V(),e.translate(-U,-H)}T(),L(),B(),F(0!==E||0!==S),q(),P(),V(),f&&e.translate(-u.x,-u.y),s.drawElementText(e,t,i),N=t.pstyle("overlay-padding").pfValue,M=t.pstyle("overlay-opacity").value,z=t.pstyle("overlay-color").value,M>0&&(s.fillStyle(e,z[0],z[1],z[2],M),s.nodeShapes.roundrectangle.draw(e,u.x,u.y,o+2*N,a+2*N),e.fill()),n&&e.translate(m.x1,m.y1)}},hasPie:function(e){return(e=e[0])._private.hasPie},drawPie:function(e,t,n,r){t=t[0],r=r||t.position();var i=t.cy().style(),o=t.pstyle("pie-size"),a=r.x,s=r.y,l=t.width(),c=t.height(),u=Math.min(l,c)/2,d=0;this.usePaths()&&(a=0,s=0),"%"===o.units?u*=o.pfValue:void 0!==o.pfValue&&(u=o.pfValue/2);for(var f=1;f<=i.pieBackgroundN;f++){var p=t.pstyle("pie-"+f+"-background-size").value,h=t.pstyle("pie-"+f+"-background-color").value,g=t.pstyle("pie-"+f+"-background-opacity").value*n,m=p/100;m+d>1&&(m=1-d);var v=1.5*Math.PI+2*Math.PI*d,b=v+2*Math.PI*m;0===p||d>=1||d+m>1||(e.beginPath(),e.moveTo(a,s),e.arc(a,s,u,v,b),e.closePath(),this.fillStyle(e,h[0],h[1],h[2],g),e.fill(),d+=m)}}};e.exports=i},function(e,t,n){"use strict";var r={},i=n(1);r.getPixelRatio=function(){var e=this.data.contexts[0];if(null!=this.forcedPixelRatio)return this.forcedPixelRatio;var t=e.backingStorePixelRatio||e.webkitBackingStorePixelRatio||e.mozBackingStorePixelRatio||e.msBackingStorePixelRatio||e.oBackingStorePixelRatio||e.backingStorePixelRatio||1;return(window.devicePixelRatio||1)/t},r.paintCache=function(e){for(var t,n=this.paintCaches=this.paintCaches||[],r=!0,i=0;i<n.length;i++)if((t=n[i]).context===e){r=!1;break}return 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n="/components/model_tree/model_tree.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n.menu ul ul {\n    margin-left: 12px;\n}\n</style>\n\n<div class="menu">\n    <ul>\n        <li>\n            <a ui-sref="dbt.overview()" class="menu-link menu-main">\n                Overview\n            </a>\n        </li>\n\n        <li>\n            <div class="switches">\n                <div class="switch ">\n                    <span\n                       class="switch-label btn btn-sm"\n                       ng-class="{active: (nav_selected == \'project\')}"\n                       ng-click="nav_selected = \'project\'">\n                        <svg class="icn menu-icon-on"><use xlink:href="#icn-dir-on"></use></svg>\n                        Project\n                    </span>\n                </div>\n                <div class="switch">\n                    <span\n                       class="switch-label btn btn-sm"\n                       ng-class="{active: (nav_selected == \'database\')}"\n                       ng-click="nav_selected = \'database\'">\n                        <svg class="icn menu-icon-on"><use xlink:href="#icn-tree-on"></use></svg>\n                        Database\n                    </span>\n                </div>\n                <div class="switch">\n                    <span\n                       class="switch-label btn btn-sm"\n                       ng-class="{active: (nav_selected == \'group\')}"\n                       ng-click="nav_selected = \'group\'">\n                        <svg class="icn menu-icon-on"><use xlink:href="#icn-filter"></use></svg>\n                        Group\n                    </span>\n                </div>\n            </div>\n        </li>\n\n        <li>\n            <div class="menu" ng-show="nav_selected == \'project\'">\n                <div ng-show="tree.sources.length > 0">\n                    <strong>Sources</strong>\n                    <ul style="display: block">\n                        <model-tree-line\n                            item="item"\n                            resource-type="source"\n                            ng-repeat="item in tree.sources"></source-tree-line>\n                    </ul>\n                    <br />\n                </div>\n\n                <div ng-show="tree.exposures.length > 0">\n                    <strong>Exposures</strong>\n                    <ul style="display: block">\n                        <model-tree-line\n                            item="item"\n                            resource-type="exposure"\n                            ng-repeat="item in tree.exposures"></model-tree-line>\n                    </ul>\n                    <br />\n                </div>\n                \n                <div ng-show="tree.metrics.length > 0">\n                    <strong>Metrics</strong>\n                    <ul style="display: block">\n                        <model-tree-line\n                            item="item"\n                            resource-type="metric"\n                            ng-repeat="item in tree.metrics"></model-tree-line>\n                    </ul>\n                    <br />\n                </div>\n\n                <strong>Projects</strong>\n                <ul>\n                    <model-tree-line\n                        item="item"\n                        resource-type="model"\n                        ng-repeat="item in tree.project"></model-tree-line>\n                </ul>\n            </div>\n        </li>\n\n        <li>\n            <div class="menu" ng-show="nav_selected == \'database\'">\n                <strong>Tables and Views</strong>\n                <ul>\n                    <model-tree-line\n                        item="item"\n                        resource-type="model"\n                        ng-repeat="item in tree.database"></model-tree-line>\n                </ul>\n            </div>\n        </li>\n\n        <li>\n            <div class="menu" ng-show="nav_selected == \'group\'">\n                <strong>Public Models</strong>\n                <ul><model-tree-line\n                        item="item"\n                        resource-type="model"\n                        ng-repeat="item in tree.groups"></model-tree-line>\n                </ul>\n            </div>\n        </li>\n    </ul>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(425),i=n(21);n(426),angular.module("dbt").directive("modelTreeLine",["$state",function(e){return{scope:{item:"=",depth:"<",resourceType:"@"},replace:!0,templateUrl:r,link:function(t,n,r,o){t.depth||(t.depth=0);var a=t.item.name;if(a){var s=i.last(a,15).join(""),l=i.initial(a,s.length).join("");t.name={name:a,start:l,end:s},t.name_start=l,t.name_end=s,t.onFolderClick=function(n){if(n.active=!n.active,"source"==t.resourceType){var r=n.name;e.go("dbt.source_list",{source:r})}else 0===t.depth&&"database"!==n.type&&e.go("dbt.project_overview",{project_name:n.name})},t.activate=function(n){t.$emit("clearSearch"),n.active=!0;var r="dbt."+n.node.resource_type;e.go(r,{unique_id:n.unique_id})},t.getIcon=function(e,t){return"#"+{header:{on:"icn-down",off:"icn-right"},database:{on:"icn-db-on",off:"icn-db"},schema:{on:"icn-tree-on",off:"icn-tree"},table:{on:"icn-doc-on",off:"icn-doc"},folder:{on:"icn-dir-on",off:"icn-dir"},file:{on:"icn-doc-on",off:"icn-doc"},group:{on:"icn-filter",off:"icn-filter"}}[e][t]},t.getClass=function(e){return{active:e.active,"menu-tree":"header"==e.type||"schema"==e.type||"folder"==e.type,"menu-main":"header"==e.type,"menu-node":"file"==e.type||"table"==e.type}}}}}}])},function(e,t){var n="/components/model_tree/model_tree_line.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<li class=\'unselectable\'>\n\n    <a ng-if="!item.unique_id"\n       class=\'unselectable\'\n       ng-class="getClass(item)"\n       ng-click="onFolderClick(item)">\n        <span class="filename">\n            <span class="filename-normal">\n                <svg class="icn menu-icon-on"><use xlink:href="{{ getIcon(item.type, \'on\') }}"></use></svg>\n                <svg class="icn menu-icon-off"><use xlink:href="{{ getIcon(item.type, \'off\') }}"></use></svg>\n            </span>\n            <span class="filename-ellip">{{name.start}}</span>\n            <span class="filename-normal">{{name.end}}</span>\n        </span>\n    </a>\n\n    <a ng-if="item.unique_id"\n       class=\'unselectable\'\n       ng-class="getClass(item)"\n       ng-click="activate(item)"\n       data-nav-unique-id="{{ item.unique_id }}"\n       title="{{ name.name }}">\n        <span class="filename">\n            <span class="filename-normal">\n                <svg class="icn menu-icon-on"><use xlink:href="{{ getIcon(item.type, \'on\') }}"></use></svg>\n                <svg class="icn menu-icon-off"><use xlink:href="{{ getIcon(item.type, \'off\') }}"></use></svg>\n            </span>\n            <span class="filename-ellip">{{name.start}}</span>\n            <span class="filename-normal">{{name.end}}</span>\n        </span>\n    </a>\n\n    <ul ng-if="item.items">\n        <model-tree-line\n                resource-type="{{ resourceType }}"\n                item="subitem"\n                depth="depth + 1"\n                ng-repeat="subitem in item.items" />\n    </ul>\n</li>\n')}]),e.exports=n},function(e,t,n){var r=n(427);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"\n.unselectable{\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n",""])},function(e,t,n){"use strict";const r=n(9),i=n(429);n(31);n(206),r.module("dbt").directive("docsSearch",["$sce","project",function(e,t){return{scope:{query:"=",results:"=",onSelect:"&"},replace:!0,templateUrl:i,link:function(n){n.max_results=20,n.show_all=!1,n.max_results_columns=3,n.limit_columns={},n.checkboxStatus={show_names:!1,show_descriptions:!1,show_columns:!1,show_column_descriptions:!1,show_code:!1,show_tags:!1},n.limit_search=function(e,t,r){return t<n.max_results||n.show_all},n.getState=function(e){return"dbt."+e.resource_type},n.getModelName=function(e){return"source"==e.resource_type?e.source_name+"."+e.name:"macro"==e.resource_type?e.package_name+"."+e.name:"metric"==e.resource_type||"exposure"==e.resource_type||"model"==e.resource_type&&null!=e.version?e.label:e.name};function r(e){return e.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&")}function i(e){return _.words(e.toLowerCase())}n.$watchGroup(["query","checkboxStatus.show_names","checkboxStatus.show_descriptions","checkboxStatus.show_columns","checkboxStatus.show_column_descriptions","checkboxStatus.show_code","checkboxStatus.show_tags"],(function(){n.results=function(e,t){if(!_.some(_.values(t)))return e;let n=[],r=[];const{show_names:i,show_descriptions:o,show_columns:a,show_column_descriptions:s,show_code:l,show_tags:c}=t;return _.each(e,(function(e){_.each(e.matches,(function(t){if(!r.includes(e.model.unique_id)){const u=i&&("name"===t.key||"label"==t.key),d=o&&"description"==t.key,f=a&&"columns"===t.key,p=s&&"column_description"===t.key,h=l&&"raw_code"===t.key,g=c&&"tags"===t.key;(u||d||f||p||h||g)&&(r.push(e.model.unique_id),n.push(e))}}))})),n}(t.search(n.query),n.checkboxStatus)})),n.shorten=function(e){if(null!=e&&e.trim().length>0&&null!=n.query&&n.query.trim().length>0){let t=e.replace(/\s+/g," "),o=r(i(n.query)[0]),a=t.search(new RegExp(o)),s=a-75<0?0:a-75,l=a+75>t.length?t.length:a+75;return"..."+t.substring(s,l)+"..."}return e},n.highlight=function(t){if(!n.query||!t)return e.trustAsHtml(t);let o="("+i(n.query).map(e=>r(e)).join(")|(")+")";return e.trustAsHtml(t.replace(new RegExp(o,"gi"),'<span class="search-result-match">$&</span>'))},n.$watch("query",(function(e,t){0==e.length&&(n.show_all=!1,n.limit_columns={})})),n.columnFilter=function(e){var t=[];let r=i(n.query);for(var o in e)r.every(e=>-1!=o.toLowerCase().indexOf(e))&&t.push(o);return t},n.limitColumns=function(e){return void 0!==n.limit_columns[e]?n.limit_columns[e]:3}}}}])},function(e,t){var n="/components/search/search.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-scroll">\n    <style>\n    .search-result-match {\n        background-color: #eee;\n    }\n    .spacing {\n        margin-right: 0.25em;\n    }\n    .sub-results {\n        margin-left: 36px;\n    }\n    </style>\n    <div class="app-title">\n        <div class="app-frame app-pad">\n            <h1>\n                <span class="break">{{ query }}</span>\n                <small><span>{{ results.length }}</span> search results</small>\n            </h1>\n            <input type="checkbox" id="name" ng-model="checkboxStatus.show_names" ng-click="filterResults(results, checkboxStatus)" style = "margin-left:10px;margin-right:5px">\n            <label for="name" style="margin-right:25px">Name</label> \n            <input type="checkbox" id="desc" ng-model="checkboxStatus.show_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="desc" style="margin-right:25px;">Description</label> \n            <input type="checkbox" id="column" ng-model="checkboxStatus.show_columns" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column" style="margin-right:25px;">Column</label> \n            <input type="checkbox" id="column_description" ng-model="checkboxStatus.show_column_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column_description" style="margin-right:25px;">Column Description</label>\n            <input type="checkbox" id="code" ng-model="checkboxStatus.show_code" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">SQL</label>\n            <input type="checkbox" id="tag" ng-model="checkboxStatus.show_tags" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">Tags</label>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <div class="results">\n                <div ng-repeat="result in results | filter:limit_search | orderBy:\'overallWeight\':true track by result.model.unique_id"\n                     data-ui-state="getState(result.model)" data-ui-state-params="{unique_id: result.model.unique_id}"\n                     ng-click="onSelect()"\n                     class="result search-result a">\n                        <div class="result-content">\n                            <div class="result-icn">\n                                <svg class="icn "><use xlink:href="#icn-doc"></use></svg>\n                            </div>\n                            <div class="result-body">\n                                <h4 class="a">\n                                    <span ng-bind-html="highlight(getModelName(result.model))"></span>\n                                    <small>{{result.model.resource_type}}</small>\n                                </h4>\n                                <p ng-bind-html="highlight(shorten(result.model.description))"></p>\n                            </div>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="column in columnFilter(result.model.columns) | limitTo:limitColumns(result.model.unique_id)">\n                            <span ng-show="$first === true">columns:</span>\n                            <span ng-bind-html="highlight(column + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(column)" ng-show="$last === true"></span>\n                        </span>\n                        <a\n                            ng-show="columnFilter(result.model.columns).length > max_results_columns && !limit_columns[result.model.unique_id]"\n                            ng-click="$event.stopPropagation(); limit_columns[result.model.unique_id] = 100">Show {{ columnFilter(result.model.columns).length - max_results_columns }} more</a>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span>\n                            <span ng-bind-html = "highlight(shorten(result.model[\'raw_code\']))"></span>\n                        </span>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="tag in result.model.tags">\n                            <span ng-show="$first === true">tags:</span>\n                            <span ng-bind-html="highlight(tag + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(tag)" ng-show="$last === true"></span>\n                        </span>\n                        </div>\n                </div>\n                <a\n                    ng-show="results.length >= max_results && !show_all"\n                    ng-click="show_all = true">Show {{ results.length - max_results }} more</a>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(431);n(432);const i=n(21);angular.module("dbt").directive("tableDetails",["$sce","$filter","project",function(e,t,n){return{scope:{model:"=",extras:"=",exclude:"<"},templateUrl:r,link:function(e){function r(e,t){if(0==e)return"0 bytes";if(e<1&&(e*=1e6),isNaN(parseFloat(e))||!isFinite(e))return"-";void 0===t&&(t=0);var n=Math.floor(Math.log(e)/Math.log(1024));return(e/Math.pow(1024,Math.floor(n))).toFixed(t)+" "+["bytes","KB","MB","GB","TB","PB"][n]}function o(e,n){return void 0===n&&(n=2),t("number")(100*e,n)+"%"}function a(e,n){return void 0===n&&(n=0),t("number")(e,n)}function s(e){var t,r,o=!e.metadata,a=e.metadata||{};t=e.database?e.database+".":"",r=o?void 0:"source"==e.resource_type?t+e.schema+"."+e.identifier:t+e.schema+"."+e.alias;var s,l=[{name:"Owner",value:e.group?function(e){const{name:t,email:r}=n.project.groups[e].owner,i=[];if(t&&i.push(t),r){const e=i.length>0?`<${r}>`:r;i.push(e)}return i.join(" ")}(`group.${e.package_name}.${e.group}`):a.owner},{name:"Type",value:o?void 0:(s=a.type,"BASE TABLE"==s?{type:"table",name:"table"}:"LATE BINDING VIEW"==s?{type:"view",name:"late binding view"}:{type:s.toLowerCase(),name:s.toLowerCase()}).name},{name:"Package",value:e.package_name},{name:"Language",value:e.language},{name:"Relation",value:r},{name:"Access",value:e.access},{name:"Version",value:e.version}];return i.filter(l,(function(e){return void 0!==e.value}))}e.details=[],e.extended=[],e.exclude=e.exclude||[],e.meta=null,e._show_expanded=!1,e.show_expanded=function(t){return void 0!==t&&(e._show_expanded=t),e._show_expanded},e.hasData=function(e){return!(!e||i.isEmpty(e))&&(1!=e.length||0!=e[0].include)},e.$watch("model",(function(t,n){i.property(["metadata","type"])(t);var l,c,u,d=t.hasOwnProperty("sources")&&null!=t.sources[0]?t.sources[0].source_meta:null;if(e.meta=t.meta||d,e.details=s(t),e.extended=(l=t.stats,c={rows:a,row_count:a,num_rows:a,max_varchar:a,pct_used:o,size:r,bytes:r,num_bytes:r},u=i.sortBy(i.values(l),"label"),i.map(u,(function(e){var t=i.clone(e),n=c[e.id];return n&&(t.value=n(e.value),t.label=e.label.replace("Approximate","~"),t.label=e.label.replace("Utilization","Used")),t}))),e.extras){var f=i.filter(e.extras,(function(e){return void 0!==e.value&&null!==e.value}));e.details=e.details.concat(f)}e.show_extended=i.where(e.extended,{include:!0}).length>0})),e.queryTag=function(t){e.$emit("query",t)}}}}])},function(e,t){var n="/components/table_details/table_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="section-content">\n    <h6>Details</h6>\n    <div class="panel">\n        <div class="panel-body">\n            <div class="details">\n                <div class="details-content">\n                    <div class="detail-group" ng-if="hasData(meta)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="(k, v) in meta">\n                                <dt class="detail-label">{{ k }}</dt>\n                                <dd class="detail-value">{{ v }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group">\n                        <div class="detail-body">\n                            <dl class=\'detail\' ng-if="model.tags != undefined && exclude.indexOf(\'tags\') == -1">\n                                <dt class="detail-label">Tags</dt>\n                                <dd ng-if="model.tags.length > 0" class="detail-value">\n                                    <span ng-repeat="tag in model.tags"><code><a ng-click=queryTag(tag)>{{ tag }}</a></code>&nbsp;</span>\n                                </dd>\n                                <dd ng-if="model.tags.length == 0" class="detail-value">untagged</dd>\n                            </dl>\n                            <dl class="detail"\n                                ng-repeat="item in details">\n                                <dt class="detail-label">{{ item.name }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group" ng-if="hasData(extended)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="item in extended"\n                                ng-if="item.include">\n                                <dt data-toggle="tooltip" title="{{ item.description }}" class="detail-label">{{ item.label }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(433);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"\n\n.details-content {\n    table-layout: fixed;\n}\n\n.detail-body {\n    white-space: nowrap;\n    overflow-x: scroll;\n}\n",""])},function(e,t,n){"use strict";const r=n(435),i=n(21);angular.module("dbt").directive("columnDetails",["project",function(e){return{scope:{model:"="},templateUrl:r,link:function(t){t.has_test=function(e,t){return-1!=i.pluck(e.tests,"short").indexOf(t)},t.has_more_info=function(e){var t=e.tests||[],n=e.description||"",r=e.meta||{};return t.length||n.length||!i.isEmpty(r)},t.toggle_column_expanded=function(e){t.has_more_info(e)&&(e.expanded=!e.expanded)},t.getState=function(e){return"dbt."+e.resource_type},t.get_col_name=function(t){return e.caseColumn(t)},t.get_columns=function(e){var t=i.chain(e.columns).values().sortBy("index").value();return i.each(t,(function(e,t){e.index=t})),t}}}}])},function(e,t){var n="/components/column_details/column_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="panel">\n    <div class="panel-body">\n        <div ng-if="_.isEmpty(model.columns)">\n            Column information is not available for this seed\n        </div>\n        <div class="table-responsive"\n             style="max-height: 800px; overflow-y: scroll;"\n             ng-if="!_.isEmpty(model.columns)">\n            <table class="table table-borderless table-hover">\n                <thead>\n                    <tr>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Column</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Type</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;">Tests</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                    </tr>\n                </thead>\n                <tbody>\n                    <tr\n                        ng-repeat-start="column in get_columns(model) track by column.index"\n                        ng-click="toggle_column_expanded(column)"\n                        class="column-row"\n                        ng-class="{\'column-row-selected\': column.expanded}"\n                        ng-style="{cursor: has_more_info(column) ? \'pointer\' : \'auto\'}">\n                        <td>\n                            <div>\n                                <span class=\'text-dark\'>{{ get_col_name(column.name) }}</span>\n                            </div>\n                        </td>\n                        <td>\n                            <span class=\'text-dark\'>{{ column.type }}</p>\n                        </td>\n                        <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                            <span ng-show="!column.expanded">{{ column.description }}</span>\n                        </td>\n                        <td>\n                            <span class="text-light" ng-show="!column.expanded">\n                                <span data-toggle="tooltip" title="Unique" ng-if="has_test(column, \'U\')">U</span>\n                                <span data-toggle="tooltip" title="Not Null" ng-if="has_test(column, \'N\')">N</span>\n                                <span data-toggle="tooltip" title="Foreign Key" ng-if="has_test(column, \'F\')">F</span>\n                                <span data-toggle="tooltip" title="Accepted Values" ng-if="has_test(column, \'A\')">A</span>\n                                <span data-toggle="tooltip" title="Custom Test" ng-if="has_test(column, \'+\')">+</span>\n                            </span>\n                        </td>\n                        <td class=\'text-center\'>\n                            <span class=\'text-light\' ng-show="has_more_info(column)">\n                                <span ng-if="column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                </span>\n                                <span ng-if="!column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                </span>\n                            </span>\n                        </td>\n                    </tr>\n                    <tr ng-repeat-end ng-show="column.expanded" style="background-color: white; padding: 10px">\n                        <td colspan="5" class="column-expanded">\n                            <div style="padding: 5px 20px">\n                                <div ng-show="column.meta">\n                                    <h5>Details</h5>\n                                    <div class="detail-group" style="padding-bottom: 0">\n                                        <div class="detail-body" style="padding-left: 0">\n                                            <dl class="detail"\n                                                ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                                ng-repeat="(k, v) in column.meta">\n                                                <dt class="detail-label">{{ k }}</dt>\n                                                <dd class="detail-value">{{ v }}</dd>\n                                            </dl>\n                                        </div>\n                                    </div>\n                                </div>\n\n                                <div style="margin-bottom: 15px" ng-if="column.description.length">\n                                    <h5>Description</h5>\n                                    <span marked="column.description"></span>\n                                </div>\n\n                                <div ng-show="column.tests && column.tests.length" style="margin-bottom: 15px">\n                                    <h5>Generic Tests</h5>\n                                    <ul class="list-unstyled" style="margin-top: 2px">\n                                        <li ng-repeat="test in column.tests" ng-switch on="test.short" class=\'text-light\'>\n                                            <span ng-switch-when="F">\n                                                Foreign Key\n                                                <span ng-if="test.fk_model.unique_id">\n                                                    <a data-ui-state="getState(test.fk_model)"\n                                                        data-ui-state-params="{unique_id: test.fk_model.unique_id}">\n                                                        to {{ test.fk_model.name }}\n                                                    </a> on <code>{{ test.fk_field }}</code>\n                                                </span>\n                                            </span>\n                                            <span ng-switch-when="P">Primary Key</span>\n                                            <span ng-switch-when="U">Unique</span>\n                                            <span ng-switch-when="N">Not Null</span>\n                                            <span ng-switch-default>{{ test.label }}</span>\n                                        </li>\n                                    </ul>\n                                </div>\n                            </div>\n                        </td>\n                    </tr>\n                </tbody>\n            </table>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(437);n(31),n(438);function i(e){return"python"===e?"language-python":"language-sql"}angular.module("dbt").directive("codeBlock",["code","$timeout",function(e,t){return{scope:{versions:"=",default:"<",language:"="},restrict:"E",templateUrl:r,link:function(n,r){n.selected_version=n.default,n.language_class=i(n.language),n.source=null,n.setSelected=function(r){n.selected_version=r,n.source=n.versions[r]||"";const i=n.source.trim();n.highlighted=e.highlight(i,n.language),t((function(){Prism.highlightAll()}))},n.titleCase=function(e){return e.charAt(0).toUpperCase()+e.substring(1)},n.copied=!1,n.copy_to_clipboard=function(){e.copy_to_clipboard(n.source),n.copied=!0,setTimeout((function(){n.$apply((function(){n.copied=!1}))}),1e3)},n.$watch("language",(function(e,t){e&&e!=t&&(n.language_class=i(e))}),!0),n.$watch("versions",(function(e,t){if(e)if(n.default)n.setSelected(n.default);else{var r=Object.keys(n.versions);r.length>0&&n.setSelected(r[0])}}),!0)}}}])},function(e,t){var n="/components/code_block/code_block.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<h6>Code</h6>\n<div class="panel">\n    <div class="panel-body">\n        <ul class="nav nav-tabs">\n            <li\n                ng-repeat="(version_name, version) in versions"\n                ng-class="{active: version_name == selected_version}">\n                <a ng-click="setSelected(version_name)">{{ titleCase(version_name) }}</a>\n            </li>\n            <li class=\'nav-pull-right\'></li>\n            <li>\n                <a class=\'unselectable\'\n                   ng-click="copy_to_clipboard()">{{ copied ? \'copied\' : \'copy to clipboard\' }}</a>\n            </li>\n        </ul>\n        <div style="margin-top: 1px">\n            <pre style="background-color: white"\n                 class=\'code line-numbers\'><code class="source-code highlight" ng-class="language_class" ng-bind-html="highlighted"></code></pre>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(439);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"pre.code {\n    border: none !important;\n    overflow-y: visible !important;\n    overflow-x: scroll !important;\n    padding-bottom: 10px;\n}\n\npre.code code {\n    font-family: Monaco, monospace !important;\n    font-weight: 400 !important;\n}\n\n.line-numbers-rows {\n    border: none !important;\n}\n",""])},function(e,t,n){"use strict";const r=n(441);angular.module("dbt").directive("macroArguments",[function(){return{scope:{macro:"="},templateUrl:r,link:function(e){_.each(e.macro.arguments,(function(e){e.expanded=!1}))}}}])},function(e,t){var n="/components/macro_arguments/index.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n    .arg-header {\n        background-color: white;\n        position: sticky;\n        top: 0;\n        z-index: 1;\n    }\n\n</style>\n\n<div class="panel">\n    <div class="panel-body">\n        <div ng-if="macro.arguments.length == 0">\n            Details are not available for this macro. This may be due to the fact that this macro doesn\'t have any\n            arguments or that they haven\'t been documented yet.\n        </div>\n        <div ng-if="macro.arguments.length > 0" class="table-responsive" style="max-height: 800px; overflow-y: scroll;">\n            <table class="table table-borderless table-hover">\n                <thead>\n                    <tr>\n                        <th class="arg-header">Argument</th>\n                        <th class="arg-header">Type</th>\n                        <th class="arg-header">Description</th>\n                        <th style="width: 1px;" class=\'text-center\'>More?</th>\n                    </tr>\n                </thead>\n                <tbody>\n                    <tr ng-repeat-start="arg in macro.arguments" ng-click="arg.expanded = !arg.expanded"\n                        ng-class="{\'column-row-selected\': arg.expanded}"\n                        ng-style="{cursor: arg.description ? \'pointer\' : \'auto\'}" class="column-row">\n                        <td>\n                            <div>\n                                <span class=\'text-dark\'>{{ arg.name }}</span>\n                            </div>\n                        </td>\n                        <td>\n                            <span class=\'text-dark\'>{{ arg.type }}</p>\n                        </td>\n                        <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                            <span ng-show="!arg.expanded">{{ arg.description }}</span>\n                        </td>\n                        <td class=\'text-center\'>\n                            <span class=\'text-light\' ng-show="arg.description">\n                                <span ng-if="arg.expanded">\n                                    <svg class="icn">\n                                        <use xlink:href="#icn-up"></use>\n                                    </svg>\n                                </span>\n                                <span ng-if="!arg.expanded">\n                                    <svg class="icn">\n                                        <use xlink:href="#icn-right"></use>\n                                    </svg>\n                                </span>\n                            </span>\n                        </td>\n                    </tr>\n                    <tr ng-repeat-end ng-show="arg.expanded" style="background-color: white; padding: 10px">\n                        <td colspan="4" class="column-expanded">\n                            <div style="padding: 5px 20px">\n                                <div style="margin-bottom: 15px">\n                                    <h5>Description</h5>\n                                    <span marked="arg.description"></span>\n                                </div>\n                            </div>\n                        </td>\n                    </tr>\n                </tbody>\n            </table>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(443);angular.module("dbt").directive("referenceList",["$state",function(e){return{scope:{references:"=",node:"="},restrict:"E",templateUrl:r,link:function(t){t.selected_type=null,t.setType=function(e){t.selected_type=e,t.nodes=t.references[t.selected_type]},t.getNodeUrl=function(t){var n="dbt."+t.resource_type;return e.href(n,{unique_id:t.unique_id,"#":null})},t.mapResourceType=function(e){return"model"==e?"Models":"seed"==e?"Seeds":"test"==e?"Tests":"snapshot"==e?"Snapshots":"analysis"==e?"Analyses":"macro"==e?"Macros":"exposure"==e?"Exposures":"metric"==e?"Metrics":"operation"==e?"Operations":"Nodes"},t.$watch("references",(function(e){e&&_.size(e)>0?(t.selected_type=_.keys(e)[0],t.has_references=!0,t.nodes=t.references[t.selected_type]):t.has_references=!1}))}}}])},function(e,t){var n="/components/references/index.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="panel">\n    <div class="panel-body" ng-if="!has_references">\n        No resources reference this {{ node.resource_type }}\n    </div>\n    <div class="panel-body" ng-if="has_references">\n        <ul class="nav nav-tabs">\n            <li\n                ng-repeat="(resource_type, nodes) in references"\n                ng-class="{active: resource_type == selected_type}">\n                <a ng-click="setType(resource_type)">\n                    {{ mapResourceType(resource_type) }}\n                </a>\n            </li>\n        </ul>\n        <div style="margin-top: 15px">\n            <ul class=\'list-unstyled\'>\n                <li ng-repeat="node in nodes">\n                    <a ng-href="{{ getNodeUrl(node) }}">{{ node.name }}</a>\n                </li>\n            </ul>\n        <div>\n    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Set(["aliceblue","antiquewhite","aqua","aquamarine","azure","beige","bisque","black","blanchedalmond","blue","blueviolet","brown","burlywood","cadetblue","chartreuse","chocolate","coral","cornflowerblue","cornsilk","crimson","cyan","darkblue","darkcyan","darkgoldenrod","darkgray","darkgreen","darkkhaki","darkmagenta","darkolivegreen","darkorange","darkorchid","darkred","darksalmon","darkseagreen","darkslateblue","darkslategray","darkturquoise","darkviolet","deeppink","deepskyblue","dimgray","dodgerblue","firebrick","floralwhite","forestgreen","fuchsia","ghostwhite","gold","goldenrod","gray","green","greenyellow","honeydew","hotpink","indianred","indigo","ivory","khaki","lavender","lavenderblush","lawngreen","lemonchiffon","lightblue","lightcoral","lightcyan","lightgoldenrodyellow","lightgray","lightgreen","lightpink","lightsalmon","lightsalmon","lightseagreen","lightskyblue","lightslategray","lightsteelblue","lightyellow","lime","limegreen","linen","magenta","maroon","mediumaquamarine","mediumblue","mediumorchid","mediumpurple","mediumseagreen","mediumslateblue","mediumslateblue","mediumspringgreen","mediumturquoise","mediumvioletred","midnightblue","mintcream","mistyrose","moccasin","navajowhite","navy","oldlace","olive","olivedrab","orange","orangered","orchid","palegoldenrod","palegreen","paleturquoise","palevioletred","papayawhip","peachpuff","peru","pink","plum","powderblue","purple","rebeccapurple","red","rosybrown","royalblue","saddlebrown","salmon","sandybrown","seagreen","seashell","sienna","silver","skyblue","slateblue","slategray","snow","springgreen","steelblue","tan","teal","thistle","tomato","turquoise","violet","wheat","white","whitesmoke","yellow","yellowgreen"]);function i(e){if(!e)return!1;const t=e.trim().toLowerCase();if(""===t)return!1;const n=t.match(/^#([A-Fa-f0-9]{3}){1,2}$/),i=r.has(t);return Boolean(n)||i}},function(e,t,n){n(31);const r=n(21),i=n(470);angular.module("dbt").factory("selectorService",["$state",function(e){var t={include:"",exclude:"",packages:[],tags:[null],resource_types:["model","seed","snapshot","source","test","analysis","exposure","metric"],depth:1},n={view_node:null,selection:{clean:r.clone(t),dirty:r.clone(t)},options:{packages:[],tags:[null],resource_types:["model","seed","snapshot","source","test","analysis","exposure","metric"]},init:function(e){r.each(e,(function(e,r){n.options[r]=e,t[r]=e,n.selection.clean[r]=e,n.selection.dirty[r]=e}))},resetSelection:function(e){var i={include:e&&r.includes(["model","seed","snapshot"],e.resource_type)?"+"+e.name+"+":e&&"source"==e.resource_type?"+source:"+e.source_name+"."+e.name+"+":e&&"exposure"==e.resource_type?"+exposure:"+e.name:e&&"metric"==e.resource_type?"+metric:"+e.name:e&&r.includes(["analysis","test"],e.resource_type)?"+"+e.name:""},o=r.assign({},t,i);n.selection.clean=r.clone(o),n.selection.dirty=r.clone(o),n.view_node=e},getViewNode:function(){return n.view_node},excludeNode:function(e,t){var r,i=n.selection.dirty.exclude,o=t.parents?"+":"",a=t.children?"+":"",s=i.length>0?" 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d.unitless||"px"!==_&&"em"!==_?P.pfValue=t:P.pfValue="px"!==_&&_?this.getEmSizeInPixels()*t:t,"ms"!==_&&"s"!==_||(P.pfValue="ms"===_?t:1e3*t),"deg"!==_&&"rad"!==_||(P.pfValue="rad"===_?t:o.deg2rad(t)),"%"===_&&(P.pfValue=t/100),P}if(d.propList){var D=[],R=""+t;if("none"===R);else{for(var I=R.split(","),N=0;N<I.length;N++){var M=I[N].trim();this.properties[M]&&D.push(M)}if(0===D.length)return null}return{name:e,value:D,strValue:0===D.length?"none":D.join(", "),bypass:n}}if(d.color){var z=r.color2tuple(t);return z?{name:e,value:z,pfValue:z,strValue:""+t,bypass:n}:null}if(d.regex||d.regexes){if(d.enums){var L=C();if(L)return L}for(var B=d.regexes?d.regexes:[d.regex],F=0;F<B.length;F++){var q=new RegExp(B[F]).exec(t);if(q)return{name:e,value:d.singleRegexMatchValue?q[1]:q,strValue:""+t,bypass:n}}return null}return d.string?{name:e,value:""+t,strValue:""+t,bypass:n}:d.enums?C():null}};e.exports=a},function(e,t,n){"use strict";var r=n(0),i=n(3),o=n(2),a={autolock:function(e){return void 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t=this._private,n=!0,i=!0,o=[],a=!1,s=!1;if(!e)return this;if(r.number(e.zoom)||(n=!1),r.plainObject(e.pan)||(i=!1),!n&&!i)return this;if(n){var l=e.zoom;l<t.minZoom||l>t.maxZoom||!t.zoomingEnabled?a=!0:(t.zoom=l,o.push("zoom"))}if(i&&(!a||!e.cancelOnFailedZoom)&&t.panningEnabled){var c=e.pan;r.number(c.x)&&(t.pan.x=c.x,s=!1),r.number(c.y)&&(t.pan.y=c.y,s=!1),s||o.push("pan")}return o.length>0&&(o.push("viewport"),this.emit(o.join(" ")),this.notify({type:"viewport"})),this},center:function(e){var t=this.getCenterPan(e);return t&&(this._private.pan=t,this.emit("pan viewport"),this.notify({type:"viewport"})),this},getCenterPan:function(e,t){if(this._private.panningEnabled){if(r.string(e)){var n=e;e=this.mutableElements().filter(n)}else r.elementOrCollection(e)||(e=this.mutableElements());if(0!==e.length){var i=e.boundingBox(),o=this.width(),a=this.height();return{x:(o-(t=void 0===t?this._private.zoom:t)*(i.x1+i.x2))/2,y:(a-t*(i.y1+i.y2))/2}}}},reset:function(){return this._private.panningEnabled&&this._private.zoomingEnabled?(this.viewport({pan:{x:0,y:0},zoom:1}),this):this},invalidateSize:function(){this._private.sizeCache=null},size:function(){var e,t,n=this._private,r=n.container;return n.sizeCache=n.sizeCache||(r?(e=i.getComputedStyle(r),t=function(t){return parseFloat(e.getPropertyValue(t))},{width:r.clientWidth-t("padding-left")-t("padding-right"),height:r.clientHeight-t("padding-top")-t("padding-bottom")}):{width:1,height:1})},width:function(){return this.size().width},height:function(){return this.size().height},extent:function(){var e=this._private.pan,t=this._private.zoom,n=this.renderedExtent(),r={x1:(n.x1-e.x)/t,x2:(n.x2-e.x)/t,y1:(n.y1-e.y)/t,y2:(n.y2-e.y)/t};return r.w=r.x2-r.x1,r.h=r.y2-r.y1,r},renderedExtent:function(){var e=this.width(),t=this.height();return{x1:0,y1:0,x2:e,y2:t,w:e,h:t}}};a.centre=a.center,a.autolockNodes=a.autolock,a.autoungrabifyNodes=a.autoungrabify,e.exports=a},function(e,t,n){"use strict";var r=n(1),i=n(4),o=n(7),a=n(12),s=n(95),l=n(0),c=n(11),u={},d={};function p(e,t,n){var s=n,d=function(n){r.error("Can not register `"+t+"` for `"+e+"` since `"+n+"` already exists in the prototype and can not be overridden")};if("core"===e){if(a.prototype[t])return d(t);a.prototype[t]=n}else if("collection"===e){if(o.prototype[t])return d(t);o.prototype[t]=n}else if("layout"===e){for(var p=function(e){this.options=e,n.call(this,e),l.plainObject(this._private)||(this._private={}),this._private.cy=e.cy,this._private.listeners=[],this.createEmitter()},h=p.prototype=Object.create(n.prototype),g=[],m=0;m<g.length;m++){var v=g[m];h[v]=h[v]||function(){return this}}h.start&&!h.run?h.run=function(){return this.start(),this}:!h.start&&h.run&&(h.start=function(){return this.run(),this});var b=n.prototype.stop;h.stop=function(){var e=this.options;if(e&&e.animate){var t=this.animations;if(t)for(var n=0;n<t.length;n++)t[n].stop()}return 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p=t.roots[d],f=n.getElementById(p);u.push(f)}c=n.collection(u)}else if(o.string(t.roots))c=n.$(t.roots);else if(t.directed)c=a.roots();else{for(var h=[],g=a,m=function(){var e=n.collection();r.bfs({roots:g[0],visit:function(t,n,r,i,o){e=e.add(t)},directed:!1}),g=g.not(e),h.push(e)};g.length>0;)m();c=n.collection();for(var v=function(e){var t=h[e],n=t.maxDegree(!1),r=t.filter((function(e){return e.degree(!1)===n}));c=c.add(r)},b=0;b<h.length;b++)v(b)}var y=[],x={},w={},k={},A={},E={};s.bfs({roots:c,directed:t.directed,visit:function(e,t,n,r,i){var o=e[0],a=o.id();if(y[i]||(y[i]=[]),y[i].push(o),x[a]=!0,w[a]=i,k[a]=n,A[a]=t,n){var s=n.id();(E[s]=E[s]||[]).push(e)}}});for(var S=[],$=0;$<a.length;$++){var C=a[$];x[C.id()]||S.push(C)}for(var _=3*S.length,O=0;0!==S.length&&O<_;){for(var T=S.shift(),j=T.neighborhood().nodes(),P=!1,D=0;D<j.length;D++){var R=w[j[D].id()];if(void 0!==R){y[R].push(T),P=!0;break}}P||S.push(T),O++}for(;0!==S.length;){var I=S.shift();0===y.length&&y.push([]),y[0].push(I)}var N=function(){for(var e=0;e<y.length;e++)for(var t=y[e],n=0;n<t.length;n++){var r=t[n];null!=r?r._private.scratch.breadthfirst={depth:e,index:n}:(t.splice(n,1),n--)}};N();for(var M=function(e){for(var t=e.connectedEdges((function(t){return t.data("target")===e.id()})),n=e._private.scratch.breadthfirst,r=0,i=void 0,o=0;o<t.length;o++){var a=t[o].source()[0],s=a._private.scratch.breadthfirst;n.depth<=s.depth&&r<s.depth&&(r=s.depth,i=a)}return i},z=0;z<t.maximalAdjustments;z++){for(var L=y.length,B=[],F=0;F<L;F++)for(var q=y[F],V=q.length,U=0;U<V;U++){var H=q[U],G=H._private.scratch.breadthfirst,W=M(H);W&&(G.intEle=W,B.push(H))}for(var Y=0;Y<B.length;Y++){var X=B[Y],Z=X._private.scratch.breadthfirst,Q=Z.intEle._private.scratch.breadthfirst;y[Z.depth][Z.index]=null;for(var J=Q.depth+1;J>y.length-1;)y.push([]);y[J].push(X),Z.depth=J,Z.index=y[J].length-1}N()}var K=0;if(t.avoidOverlap)for(var ee=0;ee<a.length;ee++){var te=a[ee].layoutDimensions(t),ne=te.w,re=te.h;K=Math.max(K,ne,re)}for(var ie={},oe=function(e){if(ie[e.id()])return ie[e.id()];for(var t=e._private.scratch.breadthfirst.depth,n=e.neighborhood().nodes().not(":parent").intersection(a),r=0,i=0,o=0;o<n.length;o++){var s=n[o]._private.scratch.breadthfirst,l=s.index,c=s.depth,u=y[c].length;(t>c||0===t)&&(r+=l/u,i++)}return r/=i=Math.max(1,i),0===i&&(r=void 0),ie[e.id()]=r,r},ae=function(e,t){return oe(e)-oe(t)},se=0;se<3;se++){for(var le=0;le<y.length;le++)y[le]=y[le].sort(ae);N()}for(var ce=0,ue=0;ue<y.length;ue++)ce=Math.max(y[ue].length,ce);for(var de=l.x1+l.w/2,pe=l.x1+l.h/2,fe=function(e,n){var r=e._private.scratch.breadthfirst,i=r.depth,o=r.index,a=y[i].length,s=Math.max(l.w/(a+1),K),c=Math.max(l.h/(y.length+1),K),u=Math.min(l.w/2/y.length,l.h/2/y.length);if(u=Math.max(u,K),t.circle){if(t.circle){var d=u*i+u-(y.length>0&&y[0].length<=3?u/2:0),p=2*Math.PI/y[i].length*o;return 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l=i.makeBoundingBox(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c=l.x1+l.w/2,u=l.y1+l.h/2,d=(void 0===t.sweep?2*Math.PI-2*Math.PI/s.length:t.sweep)/Math.max(1,s.length-1),p=void 0,f=0,h=0;h<s.length;h++){var g=s[h].layoutDimensions(t),m=g.w,v=g.h;f=Math.max(f,m,v)}if(p=o.number(t.radius)?t.radius:s.length<=1?0:Math.min(l.h,l.w)/2-f,s.length>1&&t.avoidOverlap){f*=1.75;var b=Math.cos(d)-Math.cos(0),y=Math.sin(d)-Math.sin(0),x=Math.sqrt(f*f/(b*b+y*y));p=Math.max(x,p)}return s.layoutPositions(this,t,(function(e,n){var r=t.startAngle+n*d*(a?1:-1),i=p*Math.cos(r),o=p*Math.sin(r);return{x:c+i,y:u+o}})),this},e.exports=s},function(e,t,n){"use strict";var r=n(1),i=n(2),o={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return 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u=e.layoutNodes[e.idToIndex[r[c]]];if(!u.isLocked){var d=o-u.positionX,p=a-u.positionY,f=Math.sqrt(d*d+p*p);if(f>1){var h=t.gravity*d/f,g=t.gravity*p/f;u.offsetX+=h,u.offsetY+=g}}}}},f=function(e,t){var n=[],r=0,i=-1;for(n.push.apply(n,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var o=n[r++],a=e.idToIndex[o],s=e.layoutNodes[a],l=s.children;if(0<l.length&&!s.isLocked){for(var c=s.offsetX,u=s.offsetY,d=0;d<l.length;d++){var p=e.layoutNodes[e.idToIndex[l[d]]];p.offsetX+=c,p.offsetY+=u,n[++i]=l[d]}s.offsetX=0,s.offsetY=0}}},h=function(e,t){for(var n=0;n<e.nodeSize;n++)0<(i=e.layoutNodes[n]).children.length&&(i.maxX=void 0,i.minX=void 0,i.maxY=void 0,i.minY=void 0);for(n=0;n<e.nodeSize;n++)if(!(0<(i=e.layoutNodes[n]).children.length||i.isLocked)){var r=g(i.offsetX,i.offsetY,e.temperature);i.positionX+=r.x,i.positionY+=r.y,i.offsetX=0,i.offsetY=0,i.minX=i.positionX-i.width,i.maxX=i.positionX+i.width,i.minY=i.positionY-i.height,i.maxY=i.positionY+i.height,m(i,e)}for(n=0;n<e.nodeSize;n++){var i;0<(i=e.layoutNodes[n]).children.length&&!i.isLocked&&(i.positionX=(i.maxX+i.minX)/2,i.positionY=(i.maxY+i.minY)/2,i.width=i.maxX-i.minX,i.height=i.maxY-i.minY)}},g=function(e,t,n){var r=Math.sqrt(e*e+t*t);if(r>n)var i={x:n*e/r,y:n*t/r};else i={x:e,y:t};return i},m=function e(t,n){var r=t.parentId;if(null!=r){var i=n.layoutNodes[n.idToIndex[r]],o=!1;return(null==i.maxX||t.maxX+i.padRight>i.maxX)&&(i.maxX=t.maxX+i.padRight,o=!0),(null==i.minX||t.minX-i.padLeft<i.minX)&&(i.minX=t.minX-i.padLeft,o=!0),(null==i.maxY||t.maxY+i.padBottom>i.maxY)&&(i.maxY=t.maxY+i.padBottom,o=!0),(null==i.minY||t.minY-i.padTop<i.minY)&&(i.minY=t.minY-i.padTop,o=!0),o?e(i,n):void 0}},v=function(e){return function(e,t,n){o(e,t),d(e,t),p(e,t),f(e,t),h(e,t)}(r,i),r.temperature=r.temperature*i.coolingFactor,!(r.temperature<i.minTemp)},b=0;do{for(var y=0;y<i.refresh&&b<i.numIter;){var x;if(!(x=v()))break;y++,b++}!0===i.animate&&(t=r.layoutNodes,n=void 0,n={type:"message",message:t},c.trigger(n))}while(x&&b+1<i.numIter);return function(e,t){for(var n=r.layoutNodes,i=[],o=0;o<n.length;o++){var a=n[o],s=a.cmptId;(i[s]=i[s]||[]).push(a)}var l=0;for(o=0;o<i.length;o++)if(m=i[o]){m.x1=1/0,m.x2=-1/0,m.y1=1/0,m.y2=-1/0;for(var c=0;c<m.length;c++){var u=m[c];m.x1=Math.min(m.x1,u.positionX-u.width/2),m.x2=Math.max(m.x2,u.positionX+u.width/2),m.y1=Math.min(m.y1,u.positionY-u.height/2),m.y2=Math.max(m.y2,u.positionY+u.height/2)}m.w=m.x2-m.x1,m.h=m.y2-m.y1,l+=m.w*m.h}i.sort((function(e,t){return t.w*t.h-e.w*e.h}));var d=0,p=0,f=0,h=0,g=Math.sqrt(l)*r.clientWidth/r.clientHeight;for(o=0;o<i.length;o++){var m;if(m=i[o]){for(c=0;c<m.length;c++)(u=m[c]).isLocked||(u.positionX+=d,u.positionY+=p);d+=m.w+t.componentSpacing,f+=m.w+t.componentSpacing,h=Math.max(h,m.h),f>g&&(p+=h+t.componentSpacing,d=0,f=0,h=0)}}}(0,i),r})).then((function(e){d.layoutNodes=e.layoutNodes,o.stop(),b()}));var b=function(){!0===e.animate||!1===e.animate?v({force:!0,next:function(){n.one("layoutstop",e.stop),n.emit({type:"layoutstop",layout:n})}}):e.eles.nodes().layoutPositions(n,e,(function(e){var t=d.layoutNodes[d.idToIndex[e.data("id")]];return{x:t.positionX,y:t.positionY}}))};return this},c.prototype.stop=function(){return this.stopped=!0,this.thread&&this.thread.stop(),this.emit("layoutstop"),this},c.prototype.destroy=function(){return this.thread&&this.thread.stop(),this};var u=function(e,t,n){for(var r=n.eles.edges(),i=n.eles.nodes(),s={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:n.initialTemp,clientWidth:e.width(),clientHeight:e.width(),boundingBox:o.makeBoundingBox(n.boundingBox?n.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()})},l=n.eles.components(),c={},u=0;u<l.length;u++)for(var p=l[u],f=0;f<p.length;f++)c[p[f].id()]=u;for(u=0;u<s.nodeSize;u++){var h=(y=i[u]).layoutDimensions(n);(I={}).isLocked=y.locked(),I.id=y.data("id"),I.parentId=y.data("parent"),I.cmptId=c[y.id()],I.children=[],I.positionX=y.position("x"),I.positionY=y.position("y"),I.offsetX=0,I.offsetY=0,I.height=h.w,I.width=h.h,I.maxX=I.positionX+I.width/2,I.minX=I.positionX-I.width/2,I.maxY=I.positionY+I.height/2,I.minY=I.positionY-I.height/2,I.padLeft=parseFloat(y.style("padding")),I.padRight=parseFloat(y.style("padding")),I.padTop=parseFloat(y.style("padding")),I.padBottom=parseFloat(y.style("padding")),I.nodeRepulsion=a.fn(n.nodeRepulsion)?n.nodeRepulsion(y):n.nodeRepulsion,s.layoutNodes.push(I),s.idToIndex[I.id]=u}var g=[],m=0,v=-1,b=[];for(u=0;u<s.nodeSize;u++){var y,x=(y=s.layoutNodes[u]).parentId;null!=x?s.layoutNodes[s.idToIndex[x]].children.push(y.id):(g[++v]=y.id,b.push(y.id))}for(s.graphSet.push(b);m<=v;){var w=g[m++],k=s.idToIndex[w],A=s.layoutNodes[k].children;if(A.length>0)for(s.graphSet.push(A),u=0;u<A.length;u++)g[++v]=A[u]}for(u=0;u<s.graphSet.length;u++){var E=s.graphSet[u];for(f=0;f<E.length;f++){var S=s.idToIndex[E[f]];s.indexToGraph[S]=u}}for(u=0;u<s.edgeSize;u++){var $=r[u],C={};C.id=$.data("id"),C.sourceId=$.data("source"),C.targetId=$.data("target");var _=a.fn(n.idealEdgeLength)?n.idealEdgeLength($):n.idealEdgeLength,O=a.fn(n.edgeElasticity)?n.edgeElasticity($):n.edgeElasticity,T=s.idToIndex[C.sourceId],j=s.idToIndex[C.targetId];if(s.indexToGraph[T]!=s.indexToGraph[j]){for(var P=d(C.sourceId,C.targetId,s),D=s.graphSet[P],R=0,I=s.layoutNodes[T];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;for(I=s.layoutNodes[j];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;_*=R*n.nestingFactor}C.idealLength=_,C.elasticity=O,s.layoutEdges.push(C)}return s},d=function(e,t,n){var r=p(e,t,0,n);return 2>r.count?0:r.graph},p=function e(t,n,r,i){var o=i.graphSet[r];if(-1<o.indexOf(t)&&-1<o.indexOf(n))return{count:2,graph:r};for(var a=0,s=0;s<o.length;s++){var l=o[s],c=i.idToIndex[l],u=i.layoutNodes[c].children;if(0!==u.length){var d=e(t,n,i.indexToGraph[i.idToIndex[u[0]]],i);if(0!==d.count){if(1!==d.count)return d;if(2==++a)break}}}return{count:a,graph:r}},f=function(e){if(r){console.debug("layoutNodes:");for(var t=0;t<e.nodeSize;t++){var n=e.layoutNodes[t],i="\nindex: "+t+"\nId: "+n.id+"\nChildren: "+n.children.toString()+"\nparentId: "+n.parentId+"\npositionX: "+n.positionX+"\npositionY: "+n.positionY+"\nOffsetX: "+n.offsetX+"\nOffsetY: "+n.offsetY+"\npadLeft: "+n.padLeft+"\npadRight: "+n.padRight+"\npadTop: "+n.padTop+"\npadBottom: "+n.padBottom;console.debug(i)}for(var t in console.debug("idToIndex"),e.idToIndex)console.debug("Id: "+t+"\nIndex: "+e.idToIndex[t]);console.debug("Graph Set");var o=e.graphSet;for(t=0;t<o.length;t++)console.debug("Set : "+t+": 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c=a.rstyle,u=n.pstyle("text-border-width").pfValue,d=n.pstyle("text-background-padding").pfValue,p=w(c,"labelWidth",r)+u+2*s+2*d,f=w(c,"labelHeight",r)+u+2*s+2*d,h=w(c,"labelX",r),g=w(c,"labelY",r),v=w(a.rscratch,"labelAngle",r),y=h-p/2,x=h+p/2,k=g-f/2,A=g+f/2;if(v){var E=Math.cos(v),S=Math.sin(v),$=function(e,t){return{x:(e-=h)*E-(t-=g)*S+h,y:e*S+t*E+g}},C=$(y,k),_=$(y,A),O=$(x,k),T=$(x,A),j=[C.x,C.y,O.x,O.y,T.x,T.y,_.x,_.y];if(i.pointInsidePolygonPoints(e,t,j))return b(n),!0}else{var P={w:p,h:f,x1:y,x2:x,y1:k,y2:A};if(i.inBoundingBox(P,e,t))return b(n),!0}}}n&&(u=u.interactive);for(var A=u.length-1;A>=0;A--){var E=u[A];E.isNode()?y(E)||k(E):x(E)||k(E)||k(E,"source")||k(E,"target")}return d},getAllInBox:function(e,t,n,r){var o=this.getCachedZSortedEles().interactive,a=[],s=Math.min(e,n),l=Math.max(e,n),c=Math.min(t,r),u=Math.max(t,r);e=s,n=l,t=c,r=u;for(var d=i.makeBoundingBox({x1:e,y1:t,x2:n,y2:r}),p=0;p<o.length;p++){var f=o[p];if(f.isNode()){var h=f,g=h.boundingBox({includeNodes:!0,includeEdges:!1,includeLabels:!1});i.boundingBoxesIntersect(d,g)&&!i.boundingBoxInBoundingBox(g,d)&&a.push(h)}else{var m=f,v=m._private,b=v.rscratch;if(null!=b.startX&&null!=b.startY&&!i.inBoundingBox(d,b.startX,b.startY))continue;if(null!=b.endX&&null!=b.endY&&!i.inBoundingBox(d,b.endX,b.endY))continue;if("bezier"===b.edgeType||"multibezier"===b.edgeType||"self"===b.edgeType||"compound"===b.edgeType||"segments"===b.edgeType||"haystack"===b.edgeType){for(var y=v.rstyle.bezierPts||v.rstyle.linePts||v.rstyle.haystackPts,x=!0,w=0;w<y.length;w++)if(!i.pointInBoundingBox(d,y[w])){x=!1;break}x&&a.push(m)}else"haystack"!==b.edgeType&&"straight"!==b.edgeType||a.push(m)}}return a}});e.exports=a},function(e,t,n){"use strict";var r=n(2),i={calculateArrowAngles:function(e){var t,n,i,o,a,s,l=e._private.rscratch,c="haystack"===l.edgeType,u="bezier"===l.edgeType,d="multibezier"===l.edgeType,p="segments"===l.edgeType,f="compound"===l.edgeType,h="self"===l.edgeType;if(c?(i=l.haystackPts[0],o=l.haystackPts[1],a=l.haystackPts[2],s=l.haystackPts[3]):(i=l.arrowStartX,o=l.arrowStartY,a=l.arrowEndX,s=l.arrowEndY),m=l.midX,v=l.midY,p)t=i-l.segpts[0],n=o-l.segpts[1];else if(d||f||h||u){var g=l.allpts;t=i-r.qbezierAt(g[0],g[2],g[4],.1),n=o-r.qbezierAt(g[1],g[3],g[5],.1)}else t=i-m,n=o-v;l.srcArrowAngle=r.getAngleFromDisp(t,n);var m=l.midX,v=l.midY;if(c&&(m=(i+a)/2,v=(o+s)/2),t=a-i,n=s-o,p)if((g=l.allpts).length/2%2==0){var b=(y=g.length/2)-2;t=g[y]-g[b],n=g[y+1]-g[b+1]}else{b=(y=g.length/2-1)-2;var y,x=y+2;t=g[y]-g[b],n=g[y+1]-g[b+1]}else if(d||f||h){var w,k,A,E,g=l.allpts;if(l.ctrlpts.length/2%2==0){var S=2+($=2+(C=g.length/2-1));w=r.qbezierAt(g[C],g[$],g[S],0),k=r.qbezierAt(g[C+1],g[$+1],g[S+1],0),A=r.qbezierAt(g[C],g[$],g[S],1e-4),E=r.qbezierAt(g[C+1],g[$+1],g[S+1],1e-4)}else{var $,C=($=g.length/2-1)-2;S=$+2,w=r.qbezierAt(g[C],g[$],g[S],.4999),k=r.qbezierAt(g[C+1],g[$+1],g[S+1],.4999),A=r.qbezierAt(g[C],g[$],g[S],.5),E=r.qbezierAt(g[C+1],g[$+1],g[S+1],.5)}t=A-w,n=E-k}if(l.midtgtArrowAngle=r.getAngleFromDisp(t,n),l.midDispX=t,l.midDispY=n,t*=-1,n*=-1,p&&((g=l.allpts).length/2%2==0||(t=-(g[x=2+(y=g.length/2-1)]-g[y]),n=-(g[x+1]-g[y+1]))),l.midsrcArrowAngle=r.getAngleFromDisp(t,n),p)t=a-l.segpts[l.segpts.length-2],n=s-l.segpts[l.segpts.length-1];else if(d||f||h||u){var _=(g=l.allpts).length;t=a-r.qbezierAt(g[_-6],g[_-4],g[_-2],.9),n=s-r.qbezierAt(g[_-5],g[_-3],g[_-1],.9)}else t=a-m,n=s-v;l.tgtArrowAngle=r.getAngleFromDisp(t,n)}};i.getArrowWidth=i.getArrowHeight=function(e,t){var n=this.arrowWidthCache=this.arrowWidthCache||{},r=n[e+", "+t];return r||(r=Math.max(Math.pow(13.37*e,.9),29)*t,n[e+", "+t]=r,r)},e.exports=i},function(e,t,n){"use strict";var r=n(2),i=n(0),o={};function a(e){var t=[];if(null!=e){for(var n=0;n<e.length;n+=2){var r=e[n],i=e[n+1];t.push({x:r,y:i})}return t}}o.findEdgeControlPoints=function(e){if(e&&0!==e.length){for(var t,n,o,a,s,l=this,c=l.cy.hasCompoundNodes(),u={},d=[],p=[],f=0;f<e.length;f++){var h=(Ft=(Bt=e[f])._private).data,g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,m="unbundled-bezier"===D||"bezier"===D;if("none"!==Bt.pstyle("display").value)if("haystack"!==D){var v=h.source,b=h.target;t=v>b?b+"$-$"+v:v+"$-$"+b,g&&(t="unbundled$-$"+h.id);var y=u[t];null==y&&(y=u[t]=[],d.push(t)),y.push(Bt),g&&(y.hasUnbundled=!0),m&&(y.hasBezier=!0)}else p.push(Bt)}for(var x=0;x<d.length;x++){var w=u[t=d[x]];if(w.sort((function(e,t){return e.poolIndex()-t.poolIndex()})),Ht=w[0]._private.source,Gt=w[0]._private.target,!w.hasUnbundled&&Ht.id()>Gt.id()){var k=Ht;Ht=Gt,Gt=k}Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.outerWidth(),Qt=Ht.outerHeight(),Zt=Gt.outerWidth(),Jt=Gt.outerHeight(),n=l.nodeShapes[this.getNodeShape(Ht)],o=l.nodeShapes[this.getNodeShape(Gt)],s=!1;var A={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0},E=Wt.x,S=Wt.y,$=Xt,C=Qt,_=Yt.x,O=Yt.y,T=Zt,j=Jt,P=w.length;for(f=0;f<w.length;f++){var D,R,I=(Vt=(Bt=w[f])._private.rscratch).lastEdgeIndex,N=f,M=Vt.lastNumEdges,z=(g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,Ht.id()!==Bt.source().id()),L=Bt.pstyle("control-point-distances"),B=Bt.pstyle("loop-direction").pfValue,F=Bt.pstyle("loop-sweep").pfValue,q=Bt.pstyle("control-point-weights"),V=L&&q?Math.min(L.value.length,q.value.length):1,U=Bt.pstyle("control-point-step-size").pfValue,H=L?L.pfValue[0]:void 0,G=q.value[0],W=Bt.pstyle("edge-distances").value,Y=Bt.pstyle("segment-weights"),X=Bt.pstyle("segment-distances"),Z=Math.min(Y.pfValue.length,X.pfValue.length),Q=Bt.pstyle("source-endpoint").value,J=Bt.pstyle("target-endpoint").value,K=Bt.pstyle("source-arrow-shape").value,ee=Bt.pstyle("target-arrow-shape").value,te=Bt.pstyle("arrow-scale").value,ne=Bt.pstyle("width").pfValue,re=Vt.lastSrcCtlPtX,ie=Vt.lastSrcCtlPtY,oe=Vt.lastSrcCtlPtW,ae=Vt.lastSrcCtlPtH,se=Vt.lastTgtCtlPtX,le=Vt.lastTgtCtlPtY,ce=Vt.lastTgtCtlPtW,ue=Vt.lastTgtCtlPtH,de=Vt.lastCurveStyle,pe=D,fe=Vt.lastCtrlptDists,he=L?L.strValue:null,ge=Vt.lastCtrlptWs,me=q.strValue,ve=Vt.lastSegmentWs,be=Y.strValue,ye=Vt.lastSegmentDs,xe=X.strValue,we=Vt.lastStepSize,ke=U,Ae=Vt.lastLoopDir,Ee=B,Se=Vt.lastLoopSwp,$e=F,Ce=Vt.lastEdgeDistances,_e=W,Oe=Vt.lastSrcEndpt,Te=Q,je=Vt.lastTgtEndpt,Pe=J,De=Vt.lastSrcArr,Re=K,Ie=Vt.lastTgtArr,Ne=ee,Me=Vt.lastLineW,ze=ne,Le=Vt.lastArrScl,Be=te;if(Vt.badBezier=!!s,re===E&&ie===S&&oe===$&&ae===C&&se===_&&le===O&&ce===T&&ue===j&&de===pe&&fe===he&&ge===me&&ve===be&&ye===xe&&we===ke&&Ae===Ee&&Se===$e&&Ce===_e&&Oe===Te&&je===Pe&&De===Re&&Ie===Ne&&Me===ze&&Le===Be&&(I===N&&M===P||g)?R=!0:(R=!1,Vt.lastSrcCtlPtX=E,Vt.lastSrcCtlPtY=S,Vt.lastSrcCtlPtW=$,Vt.lastSrcCtlPtH=C,Vt.lastTgtCtlPtX=_,Vt.lastTgtCtlPtY=O,Vt.lastTgtCtlPtW=T,Vt.lastTgtCtlPtH=j,Vt.lastEdgeIndex=N,Vt.lastNumEdges=P,Vt.lastCurveStyle=pe,Vt.lastCtrlptDists=he,Vt.lastCtrlptWs=me,Vt.lastSegmentDs=xe,Vt.lastSegmentWs=be,Vt.lastStepSize=ke,Vt.lastLoopDir=Ee,Vt.lastLoopSwp=$e,Vt.lastEdgeDistances=_e,Vt.lastSrcEndpt=Te,Vt.lastTgtEndpt=Pe,Vt.lastSrcArr=Re,Vt.lastTgtArr=Ne,Vt.lastLineW=ze,Vt.lastArrScl=Be),!R){if(!w.calculatedIntersection&&Ht!==Gt&&(w.hasBezier||w.hasUnbundled)){w.calculatedIntersection=!0;var Fe=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Yt.x,Yt.y,0);w.srcIntn=Fe;var qe=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Wt.x,Wt.y,0);w.tgtIntn=qe;var Ve={x1:Fe[0],x2:qe[0],y1:Fe[1],y2:qe[1]},Ue={x1:Wt.x,x2:Yt.x,y1:Wt.y,y2:Yt.y},He=qe[1]-Fe[1],Ge=qe[0]-Fe[0],We=Math.sqrt(Ge*Ge+He*He),Ye={x:Ge,y:He},Xe={x:Ye.x/We,y:Ye.y/We};a={x:-Xe.y,y:Xe.x},o.checkPoint(Fe[0],Fe[1],0,Zt,Jt,Yt.x,Yt.y)&&n.checkPoint(qe[0],qe[1],0,Xt,Qt,Wt.x,Wt.y)&&(a={},s=!0)}if(z?(Vt.srcIntn=w.tgtIntn,Vt.tgtIntn=w.srcIntn):(Vt.srcIntn=w.srcIntn,Vt.tgtIntn=w.tgtIntn),Ht===Gt){Vt.edgeType="self";var Ze=f,Qe=U;g&&(Ze=0,Qe=H);var Je=B-Math.PI/2,Ke=Je-F/2,et=Je+F/2,tt=String(B+"_"+F);Ze=void 0===A[tt]?A[tt]=0:++A[tt],Vt.ctrlpts=[Wt.x+1.4*Math.cos(Ke)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(Ke)*Qe*(Ze/3+1),Wt.x+1.4*Math.cos(et)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(et)*Qe*(Ze/3+1)]}else if(c&&(Ht.isParent()||Ht.isChild()||Gt.isParent()||Gt.isChild())&&(Ht.parents().anySame(Gt)||Gt.parents().anySame(Ht))){Vt.edgeType="compound",Vt.badBezier=!1,Ze=f,Qe=U,g&&(Ze=0,Qe=H);var nt={x:Wt.x-Xt/2,y:Wt.y-Qt/2},rt={x:Yt.x-Zt/2,y:Yt.y-Jt/2},it={x:Math.min(nt.x,rt.x),y:Math.min(nt.y,rt.y)},ot=Math.max(.5,Math.log(.01*Xt)),at=Math.max(.5,Math.log(.01*Zt));Vt.ctrlpts=[it.x,it.y-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*ot,it.x-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*at,it.y]}else if("segments"===D){Vt.edgeType="segments",Vt.segpts=[];for(var st=0;st<Z;st++){var lt=Y.pfValue[st],ct=X.pfValue[st],ut=1-lt,dt=lt,pt={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt};Vt.segpts.push(pt.x+a.x*ct,pt.y+a.y*ct)}}else if(w.length%2!=1||f!==Math.floor(w.length/2)||g){var ft=g;Vt.edgeType=ft?"multibezier":"bezier",Vt.ctrlpts=[];for(var ht=0;ht<V;ht++){var gt,mt=(.5-w.length/2+f)*U,vt=r.signum(mt);ft&&(H=L?L.pfValue[ht]:U,G=q.value[ht]);var bt,yt=void 0!==(gt=g?H:void 0!==H?vt*H:void 0)?gt:mt;ut=1-G,dt=G,z&&(k=ut,ut=dt,dt=k),pt={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt},Vt.ctrlpts.push(pt.x+a.x*yt,pt.y+a.y*yt)}}else Vt.edgeType="straight";this.findEndpoints(Bt);var xt=!i.number(Vt.startX)||!i.number(Vt.startY),wt=!i.number(Vt.arrowStartX)||!i.number(Vt.arrowStartY),kt=!i.number(Vt.endX)||!i.number(Vt.endY),At=!i.number(Vt.arrowEndX)||!i.number(Vt.arrowEndY),Et=this.getArrowWidth(Bt.pstyle("width").pfValue,Bt.pstyle("arrow-scale").value)*this.arrowShapeWidth*3;if("bezier"===Vt.edgeType){var St=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.startX,y:Vt.startY}),$t=St<Et,Ct=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.endX,y:Vt.endY}),_t=Ct<Et,Ot=!1;if(xt||wt||$t){Ot=!0;var Tt={x:Vt.ctrlpts[0]-Wt.x,y:Vt.ctrlpts[1]-Wt.y},jt=Math.sqrt(Tt.x*Tt.x+Tt.y*Tt.y),Pt={x:Tt.x/jt,y:Tt.y/jt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt},It=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Rt.x,Rt.y,0);$t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-St),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-St)):(Vt.ctrlpts[0]=It[0]+Pt.x*Et,Vt.ctrlpts[1]=It[1]+Pt.y*Et)}if(kt||At||_t){Ot=!0,Tt={x:Vt.ctrlpts[0]-Yt.x,y:Vt.ctrlpts[1]-Yt.y},jt=Math.sqrt(Tt.x*Tt.x+Tt.y*Tt.y),Pt={x:Tt.x/jt,y:Tt.y/jt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt};var Nt=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Rt.x,Rt.y,0);_t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-Ct),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-Ct)):(Vt.ctrlpts[0]=Nt[0]+Pt.x*Et,Vt.ctrlpts[1]=Nt[1]+Pt.y*Et)}Ot&&this.findEndpoints(Bt)}if("multibezier"===Vt.edgeType||"bezier"===Vt.edgeType||"self"===Vt.edgeType||"compound"===Vt.edgeType){for(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),ht=0;ht+1<Vt.ctrlpts.length;ht+=2)Vt.allpts.push(Vt.ctrlpts[ht],Vt.ctrlpts[ht+1]),ht+3<Vt.ctrlpts.length&&Vt.allpts.push((Vt.ctrlpts[ht]+Vt.ctrlpts[ht+2])/2,(Vt.ctrlpts[ht+1]+Vt.ctrlpts[ht+3])/2);var Mt;Vt.allpts.push(Vt.endX,Vt.endY),Vt.ctrlpts.length/2%2==0?(Mt=Vt.allpts.length/2-1,Vt.midX=Vt.allpts[Mt],Vt.midY=Vt.allpts[Mt+1]):(Mt=Vt.allpts.length/2-3,Vt.midX=r.qbezierAt(Vt.allpts[Mt],Vt.allpts[Mt+2],Vt.allpts[Mt+4],.5),Vt.midY=r.qbezierAt(Vt.allpts[Mt+1],Vt.allpts[Mt+3],Vt.allpts[Mt+5],.5))}else if("straight"===Vt.edgeType)Vt.allpts=[Vt.startX,Vt.startY,Vt.endX,Vt.endY],Vt.midX=(Vt.startX+Vt.endX+Vt.arrowStartX+Vt.arrowEndX)/4,Vt.midY=(Vt.startY+Vt.endY+Vt.arrowStartY+Vt.arrowEndY)/4;else if("segments"===Vt.edgeType)if(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),Vt.allpts.push.apply(Vt.allpts,Vt.segpts),Vt.allpts.push(Vt.endX,Vt.endY),Vt.segpts.length%4==0){var zt=Vt.segpts.length/2,Lt=zt-2;Vt.midX=(Vt.segpts[Lt]+Vt.segpts[zt])/2,Vt.midY=(Vt.segpts[Lt+1]+Vt.segpts[zt+1])/2}else Lt=Vt.segpts.length/2-1,Vt.midX=Vt.segpts[Lt],Vt.midY=Vt.segpts[Lt+1];this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt)}this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}for(f=0;f<p.length;f++){var Bt,Ft,qt=(Ft=(Bt=p[f])._private).rscratch,Vt=qt;if(!qt.haystack){var Ut=2*Math.random()*Math.PI;qt.source={x:Math.cos(Ut),y:Math.sin(Ut)},Ut=2*Math.random()*Math.PI,qt.target={x:Math.cos(Ut),y:Math.sin(Ut)}}var Ht=Ft.source,Gt=Ft.target,Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.width(),Zt=Gt.width(),Qt=Ht.height(),Jt=Gt.height(),Kt=(Dt=Bt.pstyle("haystack-radius").value)/2;Vt.haystackPts=Vt.allpts=[Vt.source.x*Xt*Kt+Wt.x,Vt.source.y*Qt*Kt+Wt.y,Vt.target.x*Zt*Kt+Yt.x,Vt.target.y*Jt*Kt+Yt.y],Vt.midX=(Vt.allpts[0]+Vt.allpts[2])/2,Vt.midY=(Vt.allpts[1]+Vt.allpts[3])/2,qt.edgeType=qt.lastCurveStyle="haystack",qt.haystack=!0,this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt),this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}},o.getSegmentPoints=function(e){var t=e[0]._private.rscratch;if("segments"===t.edgeType)return a(t.segpts)},o.getControlPoints=function(e){var t=e[0]._private.rscratch,n=t.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return a(t.ctrlpts)},o.getEdgeMidpoint=function(e){var t=e[0]._private.rscratch;return{x:t.midX,y:t.midY}},e.exports=o},function(e,t,n){"use strict";var r=n(2),i=n(0),o={manualEndptToPx:function(e,t){var n=e.position(),r=e.outerWidth(),i=e.outerHeight();if(2===t.value.length){var o=[t.pfValue[0],t.pfValue[1]];return"%"===t.units[0]&&(o[0]=o[0]*r),"%"===t.units[1]&&(o[1]=o[1]*i),o[0]+=n.x,o[1]+=n.y,o}var a=t.pfValue[0];a=-Math.PI/2+a;var s=2*Math.max(r,i),l=[n.x+Math.cos(a)*s,n.y+Math.sin(a)*s];return this.nodeShapes[this.getNodeShape(e)].intersectLine(n.x,n.y,r,i,l[0],l[1],0)},findEndpoints:function(e){var t=this,n=void 0,o=e.source()[0],a=e.target()[0],s=o.position(),l=a.position(),c=e.pstyle("target-arrow-shape").value,u=e.pstyle("source-arrow-shape").value,d=e.pstyle("target-distance-from-node").pfValue,p=e.pstyle("source-distance-from-node").pfValue,f=e._private.rscratch,h=f.edgeType,g="self"===h||"compound"===h,m="bezier"===h||"multibezier"===h||g,v="bezier"!==h,b="straight"===h||"segments"===h,y="segments"===h,x=m||v||b,w=e.pstyle("source-endpoint"),k=g?"outside-to-node":w.value,A=e.pstyle("target-endpoint"),E=g?"outside-to-node":A.value;f.srcManEndpt=w,f.tgtManEndpt=A;var S=void 0,$=void 0,C=void 0,_=void 0;if(m){var O=[f.ctrlpts[0],f.ctrlpts[1]];S=v?[f.ctrlpts[f.ctrlpts.length-2],f.ctrlpts[f.ctrlpts.length-1]]:O,$=O}else if(b){var T=y?f.segpts.slice(0,2):[l.x,l.y];S=y?f.segpts.slice(f.segpts.length-2):[s.x,s.y],$=T}"inside-to-node"===E?n=[l.x,l.y]:A.units?n=this.manualEndptToPx(a,A):"outside-to-line"===E?n=f.tgtIntn:("outside-to-node"===E?C=S:"outside-to-line"===E&&(C=[s.x,s.y]),n=t.nodeShapes[this.getNodeShape(a)].intersectLine(l.x,l.y,a.outerWidth(),a.outerHeight(),C[0],C[1],0));var 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g=r.$((function(t){return t.isNode()&&t.selected()&&e.nodeIsGrabbable(t)}));u(g,{addToList:p}),c.emit(h("grabon")),g.forEach((function(e){e.emit(h("grab"))}))}else p=e.dragData.possibleDragElements=[],d(c,{addToList:p}),c.emit(h("grabon")).emit(h("grab"));e.redrawHint("eles",!0),e.redrawHint("drag",!0)}e.hoverData.down=c,e.hoverData.downs=s,e.hoverData.downTime=(new Date).getTime(),t(c,["mousedown","tapstart","vmousedown"],n,{position:{x:o[0],y:o[1]}}),null==c?(a[4]=1,e.data.bgActivePosistion={x:o[0],y:o[1]},e.redrawHint("select",!0),e.redraw()):c.isEdge()&&(a[4]=1),e.hoverData.tapholdCancelled=!1,clearTimeout(e.hoverData.tapholdTimeout),e.hoverData.tapholdTimeout=setTimeout((function(){if(!e.hoverData.tapholdCancelled){var t=e.hoverData.down;t?t.emit({originalEvent:n,type:"taphold",position:{x:o[0],y:o[1]}}):r.emit({originalEvent:n,type:"taphold",position:{x:o[0],y:o[1]}})}}),e.tapholdDuration)}a[0]=a[2]=o[0],a[1]=a[3]=o[1]}}),!1),e.registerBinding(window,"mousemove",(function(i){if(e.hoverData.capture||T(i)){var s=!1,l=e.cy,c=l.zoom(),d=[i.clientX,i.clientY],f=e.projectIntoViewport(d[0],d[1]),h=e.hoverData.mdownPos,g=e.hoverData.mdownGPos,m=e.selection,v=null;e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.selecting||(v=e.findNearestElement(f[0],f[1],!0,!1));var b,y=e.hoverData.last,x=e.hoverData.down,w=[f[0]-m[2],f[1]-m[3]],k=e.dragData.possibleDragElements;if(g){var A=d[0]-g[0],E=A*A,S=d[1]-g[1],$=E+S*S;e.hoverData.isOverThresholdDrag=b=$>=e.desktopTapThreshold2}var C=n(i);b&&(e.hoverData.tapholdCancelled=!0),s=!0,t(v,["mousemove","vmousemove","tapdrag"],i,{position:{x:f[0],y:f[1]}});var _=function(){e.data.bgActivePosistion=void 0,e.hoverData.selecting||l.emit("boxstart"),m[4]=1,e.hoverData.selecting=!0,e.redrawHint("select",!0),e.redraw()};if(3===e.hoverData.which){if(b){var O={originalEvent:i,type:"cxtdrag",position:{x:f[0],y:f[1]}};x?x.emit(O):l.emit(O),e.hoverData.cxtDragged=!0,e.hoverData.cxtOver&&v===e.hoverData.cxtOver||(e.hoverData.cxtOver&&e.hoverData.cxtOver.emit({originalEvent:i,type:"cxtdragout",position:{x:f[0],y:f[1]}}),e.hoverData.cxtOver=v,v&&v.emit({originalEvent:i,type:"cxtdragover",position:{x:f[0],y:f[1]}}))}}else if(e.hoverData.dragging){if(s=!0,l.panningEnabled()&&l.userPanningEnabled()){var j;if(e.hoverData.justStartedPan){var P=e.hoverData.mdownPos;j={x:(f[0]-P[0])*c,y:(f[1]-P[1])*c},e.hoverData.justStartedPan=!1}else j={x:w[0]*c,y:w[1]*c};l.panBy(j),e.hoverData.dragged=!0}f=e.projectIntoViewport(i.clientX,i.clientY)}else if(1!=m[4]||null!=x&&!x.isEdge()){if(x&&x.isEdge()&&x.active()&&x.unactivate(),x&&x.grabbed()||v==y||(y&&t(y,["mouseout","tapdragout"],i,{position:{x:f[0],y:f[1]}}),v&&t(v,["mouseover","tapdragover"],i,{position:{x:f[0],y:f[1]}}),e.hoverData.last=v),x)if(b){if(l.boxSelectionEnabled()&&C)x&&x.grabbed()&&(p(k),x.emit("free")),_();else if(x&&x.grabbed()&&e.nodeIsDraggable(x)){var D=!e.dragData.didDrag;D&&e.redrawHint("eles",!0),e.dragData.didDrag=!0;var R=[];e.hoverData.draggingEles||u(l.collection(k),{inDragLayer:!0});for(var I=0;I<k.length;I++){var N=k[I];if(e.nodeIsDraggable(N)&&N.grabbed()){var M=N.position();if(R.push(N),r.number(w[0])&&r.number(w[1])&&(M.x+=w[0],M.y+=w[1],D)){var z=e.hoverData.dragDelta;z&&r.number(z[0])&&r.number(z[1])&&(M.x+=z[0],M.y+=z[1])}}}e.hoverData.draggingEles=!0;var L=l.collection(R);L.dirtyCompoundBoundsCache(),L.emit("position drag"),e.redrawHint("drag",!0),e.redraw()}}else!function(){var t=e.hoverData.dragDelta=e.hoverData.dragDelta||[];0===t.length?(t.push(w[0]),t.push(w[1])):(t[0]+=w[0],t[1]+=w[1])}();s=!0}else b&&(e.hoverData.dragging||!l.boxSelectionEnabled()||!C&&l.panningEnabled()&&l.userPanningEnabled()?!e.hoverData.selecting&&l.panningEnabled()&&l.userPanningEnabled()&&a(x,e.hoverData.downs)&&(e.hoverData.dragging=!0,e.hoverData.justStartedPan=!0,m[4]=0,e.data.bgActivePosistion=o.array2point(h),e.redrawHint("select",!0),e.redraw()):_(),x&&x.isEdge()&&x.active()&&x.unactivate());return m[2]=f[0],m[3]=f[1],s?(i.stopPropagation&&i.stopPropagation(),i.preventDefault&&i.preventDefault(),!1):void 0}}),!1),e.registerBinding(window,"mouseup",(function(r){if(e.hoverData.capture){e.hoverData.capture=!1;var i=e.cy,o=e.projectIntoViewport(r.clientX,r.clientY),a=e.selection,s=e.findNearestElement(o[0],o[1],!0,!1),l=e.dragData.possibleDragElements,c=e.hoverData.down,u=n(r);if(e.data.bgActivePosistion&&(e.redrawHint("select",!0),e.redraw()),e.hoverData.tapholdCancelled=!0,e.data.bgActivePosistion=void 0,c&&c.unactivate(),3===e.hoverData.which){var d={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(c?c.emit(d):i.emit(d),!e.hoverData.cxtDragged){var f={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};c?c.emit(f):i.emit(f)}e.hoverData.cxtDragged=!1,e.hoverData.which=null}else if(1===e.hoverData.which){if(null!=c||e.dragData.didDrag||e.hoverData.selecting||e.hoverData.dragged||n(r)||(i.$((function(e){return e.selected()})).unselect(),l.length>0&&e.redrawHint("eles",!0),e.dragData.possibleDragElements=l=[]),t(s,["mouseup","tapend","vmouseup"],r,{position:{x:o[0],y:o[1]}}),e.dragData.didDrag||e.hoverData.dragged||e.hoverData.selecting||e.hoverData.isOverThresholdDrag||t(c,["click","tap","vclick"],r,{position:{x:o[0],y:o[1]}}),s!=c||e.dragData.didDrag||e.hoverData.selecting||null!=s&&s._private.selectable&&(e.hoverData.dragging||("additive"===i.selectionType()||u?s.selected()?s.unselect():s.select():u||(i.$(":selected").unmerge(s).unselect(),s.select())),e.redrawHint("eles",!0)),e.hoverData.selecting){var h=i.collection(e.getAllInBox(a[0],a[1],a[2],a[3]));e.redrawHint("select",!0),h.length>0&&e.redrawHint("eles",!0),i.emit("boxend");var g=function(e){return e.selectable()&&!e.selected()};"additive"===i.selectionType()||u||i.$(":selected").unmerge(h).unselect(),h.emit("box").stdFilter(g).select().emit("boxselect"),e.redraw()}if(e.hoverData.dragging&&(e.hoverData.dragging=!1,e.redrawHint("select",!0),e.redrawHint("eles",!0),e.redraw()),!a[4]){e.redrawHint("drag",!0),e.redrawHint("eles",!0);var m=c&&c.grabbed();p(l),m&&c.emit("free")}}a[4]=0,e.hoverData.down=null,e.hoverData.cxtStarted=!1,e.hoverData.draggingEles=!1,e.hoverData.selecting=!1,e.hoverData.isOverThresholdDrag=!1,e.dragData.didDrag=!1,e.hoverData.dragged=!1,e.hoverData.dragDelta=[],e.hoverData.mdownPos=null,e.hoverData.mdownGPos=null}}),!1),e.registerBinding(e.container,"wheel",(function(t){if(!e.scrollingPage){var n,r=e.cy,i=e.projectIntoViewport(t.clientX,t.clientY),o=[i[0]*r.zoom()+r.pan().x,i[1]*r.zoom()+r.pan().y];e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.cxtStarted||0!==e.selection[4]?t.preventDefault():r.panningEnabled()&&r.userPanningEnabled()&&r.zoomingEnabled()&&r.userZoomingEnabled()&&(t.preventDefault(),e.data.wheelZooming=!0,clearTimeout(e.data.wheelTimeout),e.data.wheelTimeout=setTimeout((function(){e.data.wheelZooming=!1,e.redrawHint("eles",!0),e.redraw()}),150),n=null!=t.deltaY?t.deltaY/-250:null!=t.wheelDeltaY?t.wheelDeltaY/1e3:t.wheelDelta/1e3,n*=e.wheelSensitivity,1===t.deltaMode&&(n*=33),r.zoom({level:r.zoom()*Math.pow(10,n),renderedPosition:{x:o[0],y:o[1]}}))}}),!0),e.registerBinding(window,"scroll",(function(t){e.scrollingPage=!0,clearTimeout(e.scrollingPageTimeout),e.scrollingPageTimeout=setTimeout((function(){e.scrollingPage=!1}),250)}),!0),e.registerBinding(e.container,"mouseout",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),e.registerBinding(e.container,"mouseover",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var j,P,D,R,I=function(e,t,n,r){return Math.sqrt((n-e)*(n-e)+(r-t)*(r-t))},N=function(e,t,n,r){return(n-e)*(n-e)+(r-t)*(r-t)};if(e.registerBinding(e.container,"touchstart",j=function(n){if(T(n)){e.touchData.capture=!0,e.data.bgActivePosistion=void 0;var r=e.cy,i=e.touchData.now,o=e.touchData.earlier;if(n.touches[0]){var a=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);i[0]=a[0],i[1]=a[1]}if(n.touches[1]&&(a=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),i[2]=a[0],i[3]=a[1]),n.touches[2]&&(a=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),i[4]=a[0],i[5]=a[1]),n.touches[1]){p(e.dragData.touchDragEles);var s=e.findContainerClientCoords();S=s[0],$=s[1],C=s[2],_=s[3],v=n.touches[0].clientX-S,b=n.touches[0].clientY-$,y=n.touches[1].clientX-S,x=n.touches[1].clientY-$,O=0<=v&&v<=C&&0<=y&&y<=C&&0<=b&&b<=_&&0<=x&&x<=_;var c=r.pan(),f=r.zoom();if(w=I(v,b,y,x),k=N(v,b,y,x),E=[((A=[(v+y)/2,(b+x)/2])[0]-c.x)/f,(A[1]-c.y)/f],k<4e4&&!n.touches[2]){var h=e.findNearestElement(i[0],i[1],!0,!0),g=e.findNearestElement(i[2],i[3],!0,!0);return h&&h.isNode()?(h.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=h):g&&g.isNode()?(g.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=g):r.emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!0,e.touchData.cxtDragged=!1,e.data.bgActivePosistion=void 0,void e.redraw()}}if(n.touches[2]);else if(n.touches[1]);else if(n.touches[0]){var m=e.findNearestElements(i[0],i[1],!0,!0),j=m[0];if(null!=j&&(j.activate(),e.touchData.start=j,e.touchData.starts=m,e.nodeIsGrabbable(j))){var P=e.dragData.touchDragEles=[],D=null;e.redrawHint("eles",!0),e.redrawHint("drag",!0),j.selected()?(D=r.$((function(t){return t.selected()&&e.nodeIsGrabbable(t)})),u(D,{addToList:P})):d(j,{addToList:P}),l(j);var R=function(e){return{originalEvent:n,type:e,position:{x:i[0],y:i[1]}}};j.emit(R("grabon")),D?D.forEach((function(e){e.emit(R("grab"))})):j.emit(R("grab"))}t(j,["touchstart","tapstart","vmousedown"],n,{position:{x:i[0],y:i[1]}}),null==j&&(e.data.bgActivePosistion={x:a[0],y:a[1]},e.redrawHint("select",!0),e.redraw()),e.touchData.singleTouchMoved=!1,e.touchData.singleTouchStartTime=+new Date,clearTimeout(e.touchData.tapholdTimeout),e.touchData.tapholdTimeout=setTimeout((function(){!1!==e.touchData.singleTouchMoved||e.pinching||e.touchData.selecting||(t(e.touchData.start,["taphold"],n,{position:{x:i[0],y:i[1]}}),e.touchData.start||r.$(":selected").unselect())}),e.tapholdDuration)}if(n.touches.length>=1){for(var M=e.touchData.startPosition=[],z=0;z<i.length;z++)M[z]=o[z]=i[z];var L=n.touches[0];e.touchData.startGPosition=[L.clientX,L.clientY]}}},!1),e.registerBinding(window,"touchmove",P=function(n){var i=e.touchData.capture;if(i||T(n)){var s=e.selection,l=e.cy,c=e.touchData.now,d=e.touchData.earlier,f=l.zoom();if(n.touches[0]){var h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);c[0]=h[0],c[1]=h[1]}n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1]);var g,m=e.touchData.startGPosition;if(i&&n.touches[0]&&m){for(var A=[],C=0;C<c.length;C++)A[C]=c[C]-d[C];var _=n.touches[0].clientX-m[0],j=_*_,P=n.touches[0].clientY-m[1];g=j+P*P>=e.touchTapThreshold2}if(i&&e.touchData.cxt){n.preventDefault();var D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$,L=N(D,R,M,z);if(L/k>=2.25||L>=22500){e.touchData.cxt=!1,e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var B={originalEvent:n,type:"cxttapend",position:{x:c[0],y:c[1]}};e.touchData.start?(e.touchData.start.unactivate().emit(B),e.touchData.start=null):l.emit(B)}}if(i&&e.touchData.cxt){B={originalEvent:n,type:"cxtdrag",position:{x:c[0],y:c[1]}},e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.touchData.start?e.touchData.start.emit(B):l.emit(B),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxtDragged=!0;var F=e.findNearestElement(c[0],c[1],!0,!0);e.touchData.cxtOver&&F===e.touchData.cxtOver||(e.touchData.cxtOver&&e.touchData.cxtOver.emit({originalEvent:n,type:"cxtdragout",position:{x:c[0],y:c[1]}}),e.touchData.cxtOver=F,F&&F.emit({originalEvent:n,type:"cxtdragover",position:{x:c[0],y:c[1]}}))}else if(i&&n.touches[2]&&l.boxSelectionEnabled())n.preventDefault(),e.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,e.touchData.selecting||l.emit("boxstart"),e.touchData.selecting=!0,e.redrawHint("select",!0),s&&0!==s.length&&void 0!==s[0]?(s[2]=(c[0]+c[2]+c[4])/3,s[3]=(c[1]+c[3]+c[5])/3):(s[0]=(c[0]+c[2]+c[4])/3,s[1]=(c[1]+c[3]+c[5])/3,s[2]=(c[0]+c[2]+c[4])/3+1,s[3]=(c[1]+c[3]+c[5])/3+1),s[4]=1,e.touchData.selecting=!0,e.redraw();else if(i&&n.touches[1]&&l.zoomingEnabled()&&l.panningEnabled()&&l.userZoomingEnabled()&&l.userPanningEnabled()){if(n.preventDefault(),e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),ee=e.dragData.touchDragEles){e.redrawHint("drag",!0);for(var q=0;q<ee.length;q++){var V=ee[q]._private;V.grabbed=!1,V.rscratch.inDragLayer=!1}}D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$;var U=I(D,R,M,z),H=U/w;if(O){var G=(D-v+(M-y))/2,W=(R-b+(z-x))/2,Y=l.zoom(),X=Y*H,Z=l.pan(),Q=E[0]*Y+Z.x,J=E[1]*Y+Z.y,K={x:-X/Y*(Q-Z.x-G)+Q,y:-X/Y*(J-Z.y-W)+J};if(e.touchData.start&&e.touchData.start.active()){var ee=e.dragData.touchDragEles;p(ee),e.redrawHint("drag",!0),e.redrawHint("eles",!0),e.touchData.start.unactivate().emit("free")}l.viewport({zoom:X,pan:K,cancelOnFailedZoom:!0}),w=U,v=D,b=R,y=M,x=z,e.pinching=!0}n.touches[0]&&(h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1]),n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1])}else if(n.touches[0]){var te=e.touchData.start,ne=e.touchData.last;if(e.hoverData.draggingEles||e.swipePanning||(F=e.findNearestElement(c[0],c[1],!0,!0)),i&&null!=te&&n.preventDefault(),i&&null!=te&&e.nodeIsDraggable(te))if(g){ee=e.dragData.touchDragEles;var re=!e.dragData.didDrag;re&&u(l.collection(ee),{inDragLayer:!0});for(var ie=0;ie<ee.length;ie++){var oe=ee[ie];if(e.nodeIsDraggable(oe)&&oe.grabbed()){e.dragData.didDrag=!0;var ae=oe.position();r.number(A[0])&&r.number(A[1])&&(ae.x+=A[0],ae.y+=A[1]),re&&(e.redrawHint("eles",!0),(le=e.touchData.dragDelta)&&r.number(le[0])&&r.number(le[1])&&(ae.x+=le[0],ae.y+=le[1]))}}var se=l.collection(ee);se.dirtyCompoundBoundsCache(),se.emit("position drag"),e.hoverData.draggingEles=!0,e.redrawHint("drag",!0),e.touchData.startPosition[0]==d[0]&&e.touchData.startPosition[1]==d[1]&&e.redrawHint("eles",!0),e.redraw()}else{var le;0===(le=e.touchData.dragDelta=e.touchData.dragDelta||[]).length?(le.push(A[0]),le.push(A[1])):(le[0]+=A[0],le[1]+=A[1])}if(t(te||F,["touchmove","tapdrag","vmousemove"],n,{position:{x:c[0],y:c[1]}}),te&&te.grabbed()||F==ne||(ne&&ne.emit({originalEvent:n,type:"tapdragout",position:{x:c[0],y:c[1]}}),F&&F.emit({originalEvent:n,type:"tapdragover",position:{x:c[0],y:c[1]}})),e.touchData.last=F,i)for(q=0;q<c.length;q++)c[q]&&e.touchData.startPosition[q]&&g&&(e.touchData.singleTouchMoved=!0);i&&(null==te||te.isEdge())&&l.panningEnabled()&&l.userPanningEnabled()&&(a(te,e.touchData.starts)&&(n.preventDefault(),e.swipePanning?l.panBy({x:A[0]*f,y:A[1]*f}):g&&(e.swipePanning=!0,l.panBy({x:_*f,y:P*f}),te&&(te.unactivate(),e.data.bgActivePosistion||(e.data.bgActivePosistion=o.array2point(e.touchData.startPosition)),e.redrawHint("select",!0),e.touchData.start=null))),h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1])}for(C=0;C<c.length;C++)d[C]=c[C]}},!1),e.registerBinding(window,"touchcancel",D=function(t){var n=e.touchData.start;e.touchData.capture=!1,n&&n.unactivate()}),e.registerBinding(window,"touchend",R=function(n){var r=e.touchData.start;if(e.touchData.capture){e.touchData.capture=!1,n.preventDefault();var i=e.selection;e.swipePanning=!1,e.hoverData.draggingEles=!1;var o,a=e.cy,s=a.zoom(),l=e.touchData.now,c=e.touchData.earlier;if(n.touches[0]){var u=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);l[0]=u[0],l[1]=u[1]}if(n.touches[1]&&(u=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),l[2]=u[0],l[3]=u[1]),n.touches[2]&&(u=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),l[4]=u[0],l[5]=u[1]),r&&r.unactivate(),e.touchData.cxt){if(o={originalEvent:n,type:"cxttapend",position:{x:l[0],y:l[1]}},r?r.emit(o):a.emit(o),!e.touchData.cxtDragged){var d={originalEvent:n,type:"cxttap",position:{x:l[0],y:l[1]}};r?r.emit(d):a.emit(d)}return e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!1,e.touchData.start=null,void e.redraw()}if(!n.touches[2]&&a.boxSelectionEnabled()&&e.touchData.selecting){e.touchData.selecting=!1;var f=a.collection(e.getAllInBox(i[0],i[1],i[2],i[3]));i[0]=void 0,i[1]=void 0,i[2]=void 0,i[3]=void 0,i[4]=0,e.redrawHint("select",!0),a.emit("boxend"),f.emit("box").stdFilter((function(e){return e.selectable()&&!e.selected()})).select().emit("boxselect"),f.nonempty()&&e.redrawHint("eles",!0),e.redraw()}if(null!=r&&r.unactivate(),n.touches[2])e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);else if(n.touches[1]);else if(n.touches[0]);else if(!n.touches[0]){e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var h=e.dragData.touchDragEles;if(null!=r){var g=r._private.grabbed;p(h),e.redrawHint("drag",!0),e.redrawHint("eles",!0),g&&r.emit("free"),t(r,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}}),r.unactivate(),e.touchData.start=null}else{var m=e.findNearestElement(l[0],l[1],!0,!0);t(m,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}})}var v=e.touchData.startPosition[0]-l[0],b=v*v,y=e.touchData.startPosition[1]-l[1],x=(b+y*y)*s*s;null!=r&&!e.dragData.didDrag&&r._private.selectable&&x<e.touchTapThreshold2&&!e.pinching&&("single"===a.selectionType()?(a.$(":selected").unmerge(r).unselect(),r.select()):r.selected()?r.unselect():r.select(),e.redrawHint("eles",!0)),e.touchData.singleTouchMoved||t(r,["tap","vclick"],n,{position:{x:l[0],y:l[1]}}),e.touchData.singleTouchMoved=!0}for(var w=0;w<l.length;w++)c[w]=l[w];e.dragData.didDrag=!1,0===n.touches.length&&(e.touchData.dragDelta=[],e.touchData.startPosition=null,e.touchData.startGPosition=null),n.touches.length<2&&(e.pinching=!1,e.redrawHint("eles",!0),e.redraw())}},!1),"undefined"==typeof TouchEvent){var M=[],z=function(e){return{clientX:e.clientX,clientY:e.clientY,force:1,identifier:e.pointerId,pageX:e.pageX,pageY:e.pageY,radiusX:e.width/2,radiusY:e.height/2,screenX:e.screenX,screenY:e.screenY,target:e.target}},L=function(e){M.push(function(e){return{event:e,touch:z(e)}}(e))},B=function(e){for(var t=0;t<M.length;t++)if(M[t].event.pointerId===e.pointerId)return void M.splice(t,1)},F=function(e){e.touches=M.map((function(e){return e.touch}))},q=function(e){return"mouse"===e.pointerType||4===e.pointerType};e.registerBinding(e.container,"pointerdown",(function(e){q(e)||(e.preventDefault(),L(e),F(e),j(e))})),e.registerBinding(e.container,"pointerup",(function(e){q(e)||(B(e),F(e),R(e))})),e.registerBinding(e.container,"pointercancel",(function(e){q(e)||(B(e),F(e),D())})),e.registerBinding(e.container,"pointermove",(function(e){q(e)||(e.preventDefault(),function(e){var t=M.filter((function(t){return t.event.pointerId===e.pointerId}))[0];t.event=e,t.touch=z(e)}(e),F(e),P(e))}))}},e.exports=a},function(e,t,n){"use strict";var r=n(2),i={generatePolygon:function(e,t){return this.nodeShapes[e]={renderer:this,name:e,points:t,draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl("polygon",e,t,n,r,i,this.points)},intersectLine:function(e,t,n,i,o,a,s){return r.polygonIntersectLine(o,a,this.points,e,t,n/2,i/2,s)},checkPoint:function(e,t,n,i,o,a,s){return r.pointInsidePolygon(e,t,this.points,a,s,i,o,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.intersectLineEllipse(o,a,e,t,n/2+s,i/2+s)},checkPoint:function(e,t,n,i,o,a,s){return r.checkInEllipse(e,t,i,o,a,s,n)}}},generateRoundRectangle:function(){return this.nodeShapes.roundrectangle={renderer:this,name:"roundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;return!!(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n)||r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n))}}},generateCutRectangle:function(){return this.nodeShapes.cutrectangle={renderer:this,name:"cutrectangle",cornerLength:r.getCutRectangleCornerLength(),points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},generateCutTrianglePts:function(e,t,n,r){var i=this.cornerLength,o=t/2,a=e/2,s=n-a,l=n+a,c=r-o,u=r+o;return{topLeft:[s,c+i,s+i,c,s+i,c+i],topRight:[l-i,c,l,c+i,l-i,c+i],bottomRight:[l,u-i,l-i,u,l-i,u-i],bottomLeft:[s+i,u,s,u-i,s+i,u-i]}},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateCutTrianglePts(n+2*s,i+2*s,e,t),c=[].concat.apply([],[l.topLeft.splice(0,4),l.topRight.splice(0,4),l.bottomRight.splice(0,4),l.bottomLeft.splice(0,4)]);return r.polygonIntersectLine(o,a,c,e,t)},checkPoint:function(e,t,n,i,o,a,s){if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*this.cornerLength,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*this.cornerLength,o,[0,-1],n))return!0;var l=this.generateCutTrianglePts(i,o,a,s);return r.pointInsidePolygonPoints(e,t,l.topLeft)||r.pointInsidePolygonPoints(e,t,l.topRight)||r.pointInsidePolygonPoints(e,t,l.bottomRight)||r.pointInsidePolygonPoints(e,t,l.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateBarrelBezierPts(n+2*s,i+2*s,e,t),c=function(e){var t=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.15),n=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.5),i=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.85);return[e[0],e[1],t.x,t.y,n.x,n.y,i.x,i.y,e[4],e[5]]},u=[].concat(c(l.topLeft),c(l.topRight),c(l.bottomRight),c(l.bottomLeft));return r.polygonIntersectLine(o,a,u,e,t)},generateBarrelBezierPts:function(e,t,n,i){var o=t/2,a=e/2,s=n-a,l=n+a,c=i-o,u=i+o,d=r.getBarrelCurveConstants(e,t),p=d.heightOffset,f=d.widthOffset,h=d.ctrlPtOffsetPct*e,g={topLeft:[s,c+p,s+h,c,s+f,c],topRight:[l-f,c,l-h,c,l,c+p],bottomRight:[l,u-p,l-h,u,l-f,u],bottomLeft:[s+f,u,s+h,u,s,u-p]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(e,t,n,i,o,a,s){var l=r.getBarrelCurveConstants(i,o),c=l.heightOffset,u=l.widthOffset;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*u,o,[0,-1],n))return!0;for(var d=this.generateBarrelBezierPts(i,o,a,s),p=function(e,t,n){var i=n[4],o=n[2],a=n[0],s=n[5],l=n[1],c=Math.min(i,a),u=Math.max(i,a),d=Math.min(s,l),p=Math.max(s,l);if(c<=e&&e<=u&&d<=t&&t<=p){var f=r.bezierPtsToQuadCoeff(i,o,a),h=r.solveQuadratic(f[0],f[1],f[2],e).filter((function(e){return 0<=e&&e<=1}));if(h.length>0)return h[0]}return null},f=Object.keys(d),h=0;h<f.length;h++){var g=d[f[h]],m=p(e,t,g);if(null!=m){var v=g[5],b=g[3],y=g[1],x=r.qbezierAt(v,b,y,m);if(g.isTop&&x<=t)return!0;if(g.isBottom&&t<=x)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottomroundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=e-(n/2+s),c=t-(i/2+s),u=c,d=e+(n/2+s),p=r.finiteLinesIntersect(o,a,e,t,l,c,d,u,!1);return p.length>0?p:r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n))return!0;var u=i/2+2*n,d=o/2+2*n,p=[a-u,s-d,a-u,s,a+u,s,a+u,s-d];return!!r.pointInsidePolygonPoints(e,t,p)||!!r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||!!r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n)}}},registerNodeShapes:function(){var e=this.nodeShapes={},t=this;this.generateEllipse(),this.generatePolygon("triangle",r.generateUnitNgonPointsFitToSquare(3,0)),this.generatePolygon("rectangle",r.generateUnitNgonPointsFitToSquare(4,0)),e.square=e.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle(),this.generatePolygon("diamond",[0,1,1,0,0,-1,-1,0]),this.generatePolygon("pentagon",r.generateUnitNgonPointsFitToSquare(5,0)),this.generatePolygon("hexagon",r.generateUnitNgonPointsFitToSquare(6,0)),this.generatePolygon("heptagon",r.generateUnitNgonPointsFitToSquare(7,0)),this.generatePolygon("octagon",r.generateUnitNgonPointsFitToSquare(8,0));var n=new Array(20),i=r.generateUnitNgonPoints(5,0),o=r.generateUnitNgonPoints(5,Math.PI/5),a=.5*(3-Math.sqrt(5));a*=1.57;for(var s=0;s<o.length/2;s++)o[2*s]*=a,o[2*s+1]*=a;for(s=0;s<5;s++)n[4*s]=i[2*s],n[4*s+1]=i[2*s+1],n[4*s+2]=o[2*s],n[4*s+3]=o[2*s+1];n=r.fitPolygonToSquare(n),this.generatePolygon("star",n),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.generatePolygon("concavehexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]),this.generatePolygon("tag",[-1,-1,.25,-1,1,0,.25,1,-1,1]),e.makePolygon=function(e){var n,r="polygon-"+e.join("$");return(n=this[r])?n:t.generatePolygon(r,e)}}};e.exports=i},function(e,t,n){"use strict";var r=n(1),i={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(e){e=e||r.staticEmptyObject();var t=this;void 0===t.averageRedrawTime&&(t.averageRedrawTime=0),void 0===t.lastRedrawTime&&(t.lastRedrawTime=0),void 0===t.lastDrawTime&&(t.lastDrawTime=0),t.requestedFrame=!0,t.renderOptions=e},beforeRender:function(e,t){if(!this.destroyed){t=t||0;var n=this.beforeRenderCallbacks;n.push({fn:e,priority:t}),n.sort((function(e,t){return t.priority-e.priority}))}}},o=function(e,t,n){for(var r=e.beforeRenderCallbacks,i=0;i<r.length;i++)r[i].fn(t,n)};i.startRenderLoop=function(){var e=this;e.renderLoopStarted||(e.renderLoopStarted=!0,r.requestAnimationFrame((function t(n){if(!e.destroyed){if(e.requestedFrame&&!e.skipFrame){o(e,!0,n);var i=r.performanceNow();e.render(e.renderOptions);var a=e.lastDrawTime=r.performanceNow();void 0===e.averageRedrawTime&&(e.averageRedrawTime=a-i),void 0===e.redrawCount&&(e.redrawCount=0),e.redrawCount++,void 0===e.redrawTotalTime&&(e.redrawTotalTime=0);var s=a-i;e.redrawTotalTime+=s,e.lastRedrawTime=s,e.averageRedrawTime=e.averageRedrawTime/2+s/2,e.requestedFrame=!1}else o(e,!1,n);e.skipFrame=!1,r.requestAnimationFrame(t)}})))},e.exports=i},function(e,t,n){"use strict";var r=n(1),i=n(0),o=n(124),a=n(125),s=c,l=c.prototype;function c(e){var t=this;t.data={canvases:new Array(l.CANVAS_LAYERS),contexts:new 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r=t._private.rscratch,i="haystack"===r.edgeType;i||this.drawArrowhead(e,t,"source",r.arrowStartX,r.arrowStartY,r.srcArrowAngle,n),this.drawArrowhead(e,t,"mid-target",r.midX,r.midY,r.midtgtArrowAngle,n),this.drawArrowhead(e,t,"mid-source",r.midX,r.midY,r.midsrcArrowAngle,n),i||(t.hasClass("horizontal")?this.drawArrowhead(e,t,"target",r.arrowEndX,r.arrowEndY,-Math.PI/2,n):t.hasClass("vertical")?this.drawArrowhead(e,t,"target",r.arrowEndX,r.arrowEndY,0,n):this.drawArrowhead(e,t,"target",r.arrowEndX,r.arrowEndY,r.tgtArrowAngle,n))},drawArrowhead:function(e,t,n,r,i,o,a){if(!(isNaN(r)||null==r||isNaN(i)||null==i||isNaN(o)||null==o)){var s=t.pstyle(n+"-arrow-shape").value;if("none"!==s){var l="hollow"===t.pstyle(n+"-arrow-fill").value?"both":"filled",c=t.pstyle(n+"-arrow-fill").value,u=t.pstyle("width").pfValue,d=t.pstyle("opacity").value;void 0===a&&(a=d);var p=e.globalCompositeOperation;1===a&&"hollow"!==c||(e.globalCompositeOperation="destination-out",this.fillStyle(e,255,255,255,1),this.strokeStyle(e,255,255,255,1),this.drawArrowShape(t,n,e,l,u,s,r,i,o),e.globalCompositeOperation=p);var f=t.pstyle(n+"-arrow-color").value;this.fillStyle(e,f[0],f[1],f[2],a),this.strokeStyle(e,f[0],f[1],f[2],a),this.drawArrowShape(t,n,e,c,u,s,r,i,o)}}},drawArrowShape:function(e,t,n,r,i,o,a,s,l){var c=this.usePaths(),u=e._private.rscratch,d=!1,p=void 0,f=n,h={x:a,y:s},g=e.pstyle("arrow-scale").value,m=this.getArrowWidth(i,g),v=this.arrowShapes[o];if(c){var b=m+"$"+o+"$"+l+"$"+a+"$"+s;u.arrowPathCacheKey=u.arrowPathCacheKey||{},u.arrowPathCache=u.arrowPathCache||{},u.arrowPathCacheKey[t]===b?(p=n=u.arrowPathCache[t],d=!0):(p=n=new 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o=this,a=n.position(),s=a.x,l=a.y,c=n.cy().style(),u=c.getIndexedStyle.bind(c),d=u(n,"background-fit","value",r),p=u(n,"background-repeat","value",r),f=n.width(),h=n.height(),g=2*n.padding(),m=f+("inner"===u(n,"background-width-relative-to","value",r)?0:g),v=h+("inner"===u(n,"background-height-relative-to","value",r)?0:g),b=n._private.rscratch,y="node"===n.pstyle("background-clip").value,x=u(n,"background-image-opacity","value",r)*i,w=t.width||t.cachedW,k=t.height||t.cachedH;null!=w&&null!=k||(document.body.appendChild(t),w=t.cachedW=t.width||t.offsetWidth,k=t.cachedH=t.height||t.offsetHeight,document.body.removeChild(t));var A=w,E=k;if("auto"!==u(n,"background-width","value",r)&&(A="%"===u(n,"background-width","units",r)?u(n,"background-width","pfValue",r)*m:u(n,"background-width","pfValue",r)),"auto"!==u(n,"background-height","value",r)&&(E="%"===u(n,"background-height","units",r)?u(n,"background-height","pfValue",r)*v:u(n,"background-height","pfValue",r)),0!==A&&0!==E){if("contain"===d)A*=S=Math.min(m/A,v/E),E*=S;else if("cover"===d){var S;A*=S=Math.max(m/A,v/E),E*=S}var $=s-m/2;"%"===u(n,"background-position-x","units",r)?$+=(m-A)*u(n,"background-position-x","pfValue",r):$+=u(n,"background-position-x","pfValue",r);var C=l-v/2;"%"===u(n,"background-position-y","units",r)?C+=(v-E)*u(n,"background-position-y","pfValue",r):C+=u(n,"background-position-y","pfValue",r),b.pathCache&&($-=s,C-=l,s=0,l=0);var 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i=t.pstyle("text-halign").strValue;switch(t.pstyle("text-valign").strValue,i){case"left":e.textAlign="right";break;case"right":e.textAlign="left";break;default:e.textAlign="center"}e.textBaseline="bottom"}else{var o=t.pstyle("label"),a=t.pstyle("source-label"),s=t.pstyle("target-label");if(!(o&&o.value||a&&a.value||s&&s.value))return;e.textAlign="center",e.textBaseline="bottom"}r.drawText(e,t),t.isEdge()&&(r.drawText(e,t,"source"),r.drawText(e,t,"target"))}};o.drawNodeText=o.drawEdgeText=o.drawElementText,o.getFontCache=function(e){var t;this.fontCaches=this.fontCaches||[];for(var n=0;n<this.fontCaches.length;n++)if((t=this.fontCaches[n]).context===e)return t;return t={context:e},this.fontCaches.push(t),t},o.setupTextStyle=function(e,t){var n=t.effectiveOpacity(),r=t.pstyle("font-style").strValue,i=t.pstyle("font-size").pfValue+"px",o=t.pstyle("font-family").strValue,a=t.pstyle("font-weight").strValue,s=t.pstyle("text-opacity").value*t.pstyle("opacity").value*n,l=t.pstyle("text-outline-opacity").value*s,c=t.pstyle("color").value,u=t.pstyle("text-outline-color").value,d=t._private.fontKey,p=this.getFontCache(e);p.key!==d&&(e.font=r+" "+a+" "+i+" "+o,p.key=d),e.lineJoin="round",this.fillStyle(e,c[0],c[1],c[2],s),this.strokeStyle(e,u[0],u[1],u[2],l)},o.drawText=function(e,t,n){var i=t._private.rscratch,o=t.effectiveOpacity();if(0!==o&&0!==t.pstyle("text-opacity").value){var a,s,l,c,u,d,p=r.getPrefixedProperty(i,"labelX",n),f=r.getPrefixedProperty(i,"labelY",n),h=this.getLabelText(t,n);if(null!=h&&""!==h&&!isNaN(p)&&!isNaN(f)){this.setupTextStyle(e,t);var g=n?n+"-":"",m=r.getPrefixedProperty(i,"labelWidth",n),v=r.getPrefixedProperty(i,"labelHeight",n),b=r.getPrefixedProperty(i,"labelAngle",n),y=t.pstyle(g+"text-margin-x").pfValue,x=t.pstyle(g+"text-margin-y").pfValue,w=t.isEdge(),k=(t.isNode(),t.pstyle("text-halign").value),A=t.pstyle("text-valign").value;w&&(k="center",A="center"),p+=y,f+=x;var E,S=t.pstyle("text-rotation");if(0!==(E="autorotate"===S.strValue?w?b:0:"none"===S.strValue?0:S.pfValue)){var $=p,C=f;e.translate($,C),e.rotate(E),p=0,f=0}switch(A){case"top":break;case"center":f+=v/2;break;case"bottom":f+=v}var _=t.pstyle("text-background-opacity").value,O=t.pstyle("text-border-opacity").value,T=t.pstyle("text-border-width").pfValue,j=t.pstyle("text-background-padding").pfValue;if(_>0||T>0&&O>0){var P=p-j;switch(k){case"left":P-=m;break;case"center":P-=m/2}var D=f-v-j,R=m+2*j,I=v+2*j;if(_>0){var N=e.fillStyle,M=t.pstyle("text-background-color").value;e.fillStyle="rgba("+M[0]+","+M[1]+","+M[2]+","+_*o+")","roundrectangle"==t.pstyle("text-background-shape").strValue?(s=P,l=D,c=R,u=I,d=(d=2)||5,(a=e).beginPath(),a.moveTo(s+d,l),a.lineTo(s+c-d,l),a.quadraticCurveTo(s+c,l,s+c,l+d),a.lineTo(s+c,l+u-d),a.quadraticCurveTo(s+c,l+u,s+c-d,l+u),a.lineTo(s+d,l+u),a.quadraticCurveTo(s,l+u,s,l+u-d),a.lineTo(s,l+d),a.quadraticCurveTo(s,l,s+d,l),a.closePath(),a.fill()):e.fillRect(P,D,R,I),e.fillStyle=N}if(T>0&&O>0){var z=e.strokeStyle,L=e.lineWidth,B=t.pstyle("text-border-color").value,F=t.pstyle("text-border-style").value;if(e.strokeStyle="rgba("+B[0]+","+B[1]+","+B[2]+","+O*o+")",e.lineWidth=T,e.setLineDash)switch(F){case"dotted":e.setLineDash([1,1]);break;case"dashed":e.setLineDash([4,2]);break;case"double":e.lineWidth=T/4,e.setLineDash([]);break;case"solid":e.setLineDash([])}if(e.strokeRect(P,D,R,I),"double"===F){var q=T/2;e.strokeRect(P+q,D+q,R-2*q,I-2*q)}e.setLineDash&&e.setLineDash([]),e.lineWidth=L,e.strokeStyle=z}}var V=2*t.pstyle("text-outline-width").pfValue;if(V>0&&(e.lineWidth=V),"wrap"===t.pstyle("text-wrap").value){var U=r.getPrefixedProperty(i,"labelWrapCachedLines",n),H=v/U.length;switch(A){case"top":f-=(U.length-1)*H;break;case"center":case"bottom":f-=(U.length-1)*H}for(var G=0;G<U.length;G++)V>0&&e.strokeText(U[G],p,f),e.fillText(U[G],p,f),f+=H}else V>0&&e.strokeText(h,p,f),e.fillText(h,p,f);0!==E&&(e.rotate(-E),e.translate(-$,-C))}}},e.exports=o},function(e,t,n){"use strict";var r=n(0),i={drawNode:function(e,t,n,i){var o,a,s=this,l=t._private,c=l.rscratch,u=t.position();if(r.number(u.x)&&r.number(u.y)&&t.visible()){var d=t.effectiveOpacity(),p=s.usePaths(),f=void 0,h=!1,g=t.padding();o=t.width()+2*g,a=t.height()+2*g;var m=void 0;n&&(m=n,e.translate(-m.x1,-m.y1));for(var v=t.pstyle("background-image").value,b=new Array(v.length),y=new Array(v.length),x=0,w=0;w<v.length;w++){var k=v[w];if(b[w]=null!=k&&"none"!==k){var A=t.cy().style().getIndexedStyle(t,"background-image-crossorigin","value",w);x++,y[w]=s.getCachedImage(k,A,(function(){t.emitAndNotify("background")}))}}var E=t.pstyle("background-blacken").value,S=t.pstyle("border-width").pfValue,$=t.pstyle("background-color").value,C=t.pstyle("background-opacity").value*d,_=t.pstyle("border-color").value,O=t.pstyle("border-style").value,T=t.pstyle("border-opacity").value*d;e.lineJoin="miter";var j=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:C;s.fillStyle(e,$[0],$[1],$[2],t)},P=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:T;s.strokeStyle(e,_[0],_[1],_[2],t)},D=t.pstyle("shape").strValue,R=t.pstyle("shape-polygon-points").pfValue;if(p){var I=D+"$"+o+"$"+a+("polygon"===D?"$"+R.join("$"):"");e.translate(u.x,u.y),c.pathCacheKey===I?(f=c.pathCache,h=!0):(f=new Path2D,c.pathCacheKey=I,c.pathCache=f)}var N,M,z,L=function(){if(!h){var n=u;p&&(n={x:0,y:0}),s.nodeShapes[s.getNodeShape(t)].draw(f||e,n.x,n.y,o,a)}p?e.fill(f):e.fill()},B=function(){for(var n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:d,r=l.backgrounding,i=0,o=0;o<y.length;o++)b[o]&&y[o].complete&&!y[o].error&&(i++,s.drawInscribedImage(e,y[o],t,o,n));l.backgrounding=!(i===x),r!==l.backgrounding&&t.updateStyle(!1)},F=function(){var n=arguments.length>0&&void 0!==arguments[0]&&arguments[0],r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:d;s.hasPie(t)&&(s.drawPie(e,t,r),n&&(p||s.nodeShapes[s.getNodeShape(t)].draw(e,u.x,u.y,o,a)))},q=function(){var t=arguments.length>0&&void 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U=t.pstyle("ghost-offset-x").pfValue,H=t.pstyle("ghost-offset-y").pfValue,G=t.pstyle("ghost-opacity").value,W=G*d;e.translate(U,H),j(G*C),L(),B(W),F(0!==E||0!==S),q(W),P(G*T),V(),e.translate(-U,-H)}j(),L(),B(),F(0!==E||0!==S),q(),P(),V(),p&&e.translate(-u.x,-u.y),s.drawElementText(e,t,i),N=t.pstyle("overlay-padding").pfValue,M=t.pstyle("overlay-opacity").value,z=t.pstyle("overlay-color").value,M>0&&(s.fillStyle(e,z[0],z[1],z[2],M),s.nodeShapes.roundrectangle.draw(e,u.x,u.y,o+2*N,a+2*N),e.fill()),n&&e.translate(m.x1,m.y1)}},hasPie:function(e){return(e=e[0])._private.hasPie},drawPie:function(e,t,n,r){t=t[0],r=r||t.position();var i=t.cy().style(),o=t.pstyle("pie-size"),a=r.x,s=r.y,l=t.width(),c=t.height(),u=Math.min(l,c)/2,d=0;this.usePaths()&&(a=0,s=0),"%"===o.units?u*=o.pfValue:void 0!==o.pfValue&&(u=o.pfValue/2);for(var p=1;p<=i.pieBackgroundN;p++){var f=t.pstyle("pie-"+p+"-background-size").value,h=t.pstyle("pie-"+p+"-background-color").value,g=t.pstyle("pie-"+p+"-background-opacity").value*n,m=f/100;m+d>1&&(m=1-d);var v=1.5*Math.PI+2*Math.PI*d,b=v+2*Math.PI*m;0===f||d>=1||d+m>1||(e.beginPath(),e.moveTo(a,s),e.arc(a,s,u,v,b),e.closePath(),this.fillStyle(e,h[0],h[1],h[2],g),e.fill(),d+=m)}}};e.exports=i},function(e,t,n){"use strict";var r={},i=n(1);r.getPixelRatio=function(){var e=this.data.contexts[0];if(null!=this.forcedPixelRatio)return this.forcedPixelRatio;var t=e.backingStorePixelRatio||e.webkitBackingStorePixelRatio||e.mozBackingStorePixelRatio||e.msBackingStorePixelRatio||e.oBackingStorePixelRatio||e.backingStorePixelRatio||1;return(window.devicePixelRatio||1)/t},r.paintCache=function(e){for(var t,n=this.paintCaches=this.paintCaches||[],r=!0,i=0;i<n.length;i++)if((t=n[i]).context===e){r=!1;break}return 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r=n(9),i=n(429);n(33);n(206),r.module("dbt").directive("docsSearch",["$sce","project",function(e,t){return{scope:{query:"=",results:"=",onSelect:"&"},replace:!0,templateUrl:i,link:function(n){n.max_results=20,n.show_all=!1,n.max_results_columns=3,n.limit_columns={},n.checkboxStatus={show_names:!1,show_descriptions:!1,show_columns:!1,show_column_descriptions:!1,show_code:!1,show_tags:!1},n.limit_search=function(e,t,r){return t<n.max_results||n.show_all},n.getState=function(e){return"dbt."+e.resource_type},n.getModelName=function(e){return"source"==e.resource_type?e.source_name+"."+e.name:"macro"==e.resource_type?e.package_name+"."+e.name:"metric"==e.resource_type?e.label:"semantic_model"==e.resource_type?e.name:"exposure"==e.resource_type||"model"==e.resource_type&&null!=e.version?e.label:e.name};function r(e){return e.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&")}function i(e){return _.words(e.toLowerCase())}n.$watchGroup(["query","checkboxStatus.show_names","checkboxStatus.show_descriptions","checkboxStatus.show_columns","checkboxStatus.show_column_descriptions","checkboxStatus.show_code","checkboxStatus.show_tags"],(function(){n.results=function(e,t){if(!_.some(_.values(t)))return e;let n=[],r=[];const{show_names:i,show_descriptions:o,show_columns:a,show_column_descriptions:s,show_code:l,show_tags:c}=t;return _.each(e,(function(e){_.each(e.matches,(function(t){if(!r.includes(e.model.unique_id)){const u=i&&("name"===t.key||"label"==t.key),d=o&&"description"==t.key,p=a&&"columns"===t.key,f=s&&"column_description"===t.key,h=l&&"raw_code"===t.key,g=c&&"tags"===t.key;(u||d||p||f||h||g)&&(r.push(e.model.unique_id),n.push(e))}}))})),n}(t.search(n.query),n.checkboxStatus)})),n.shorten=function(e){if(null!=e&&e.trim().length>0&&null!=n.query&&n.query.trim().length>0){let t=e.replace(/\s+/g," "),o=r(i(n.query)[0]),a=t.search(new RegExp(o)),s=a-75<0?0:a-75,l=a+75>t.length?t.length:a+75;return"..."+t.substring(s,l)+"..."}return e},n.highlight=function(t){if(!n.query||!t)return e.trustAsHtml(t);let o="("+i(n.query).map(e=>r(e)).join(")|(")+")";return e.trustAsHtml(t.replace(new RegExp(o,"gi"),'<span class="search-result-match">$&</span>'))},n.$watch("query",(function(e,t){0==e.length&&(n.show_all=!1,n.limit_columns={})})),n.columnFilter=function(e){var t=[];let r=i(n.query);for(var o in e)r.every(e=>-1!=o.toLowerCase().indexOf(e))&&t.push(o);return t},n.limitColumns=function(e){return void 0!==n.limit_columns[e]?n.limit_columns[e]:3}}}}])},function(e,t){var n="/components/search/search.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-scroll">\n    <style>\n    .search-result-match {\n        background-color: #eee;\n    }\n    .spacing {\n        margin-right: 0.25em;\n    }\n    .sub-results {\n        margin-left: 36px;\n    }\n    </style>\n    <div class="app-title">\n        <div class="app-frame app-pad">\n            <h1>\n                <span class="break">{{ query }}</span>\n                <small><span>{{ results.length }}</span> search results</small>\n            </h1>\n            <input type="checkbox" id="name" ng-model="checkboxStatus.show_names" ng-click="filterResults(results, checkboxStatus)" style = "margin-left:10px;margin-right:5px">\n            <label for="name" style="margin-right:25px">Name</label> \n            <input type="checkbox" id="desc" ng-model="checkboxStatus.show_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="desc" style="margin-right:25px;">Description</label> \n            <input type="checkbox" id="column" ng-model="checkboxStatus.show_columns" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column" style="margin-right:25px;">Column</label> \n            <input type="checkbox" id="column_description" ng-model="checkboxStatus.show_column_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column_description" style="margin-right:25px;">Column Description</label>\n            <input type="checkbox" id="code" ng-model="checkboxStatus.show_code" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">SQL</label>\n            <input type="checkbox" id="tag" ng-model="checkboxStatus.show_tags" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">Tags</label>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <div class="results">\n                <div ng-repeat="result in results | filter:limit_search | orderBy:\'overallWeight\':true track by result.model.unique_id"\n                     data-ui-state="getState(result.model)" data-ui-state-params="{unique_id: result.model.unique_id}"\n                     ng-click="onSelect()"\n                     class="result search-result a">\n                        <div class="result-content">\n                            <div class="result-icn">\n                                <svg class="icn "><use xlink:href="#icn-doc"></use></svg>\n                            </div>\n                            <div class="result-body">\n                                <h4 class="a">\n                                    <span ng-bind-html="highlight(getModelName(result.model))"></span>\n                                    <small>{{result.model.resource_type}}</small>\n                                </h4>\n                                <p ng-bind-html="highlight(shorten(result.model.description))"></p>\n                            </div>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="column in columnFilter(result.model.columns) | limitTo:limitColumns(result.model.unique_id)">\n                            <span ng-show="$first === true">columns:</span>\n                            <span ng-bind-html="highlight(column + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(column)" ng-show="$last === true"></span>\n                        </span>\n                        <a\n                            ng-show="columnFilter(result.model.columns).length > max_results_columns && !limit_columns[result.model.unique_id]"\n                            ng-click="$event.stopPropagation(); limit_columns[result.model.unique_id] = 100">Show {{ columnFilter(result.model.columns).length - max_results_columns }} more</a>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span>\n                            <span ng-bind-html = "highlight(shorten(result.model[\'raw_code\']))"></span>\n                        </span>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="tag in result.model.tags">\n                            <span ng-show="$first === true">tags:</span>\n                            <span ng-bind-html="highlight(tag + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(tag)" ng-show="$last === true"></span>\n                        </span>\n                        </div>\n                </div>\n                <a\n                    ng-show="results.length >= max_results && !show_all"\n                    ng-click="show_all = true">Show {{ results.length - max_results }} more</a>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){e.exports={getQuoteChar:function(e){var t=(e||{}).adapter_type;return["bigquery","spark","databricks"].indexOf(t)>=0?"`":'"'}}},function(e,t,n){"use strict";const r=n(432);n(433);const i=n(21);angular.module("dbt").directive("tableDetails",["$sce","$filter","project",function(e,t,n){return{scope:{model:"=",extras:"=",exclude:"<"},templateUrl:r,link:function(e){function r(e,t){if(0==e)return"0 bytes";if(e<1&&(e*=1e6),isNaN(parseFloat(e))||!isFinite(e))return"-";void 0===t&&(t=0);var n=Math.floor(Math.log(e)/Math.log(1024));return(e/Math.pow(1024,Math.floor(n))).toFixed(t)+" "+["bytes","KB","MB","GB","TB","PB"][n]}function o(e,n){return void 0===n&&(n=2),t("number")(100*e,n)+"%"}function a(e,n){return void 0===n&&(n=0),t("number")(e,n)}function s(e){var t,r,o=!e.metadata,a=e.metadata||{};t=e.database?e.database+".":"",r=o?void 0:"source"==e.resource_type?t+e.schema+"."+e.identifier:t+e.schema+"."+e.alias;var s,l=[{name:"Owner",value:e.group?function(e){const{name:t,email:r}=n.project.groups[e].owner,i=[];if(t&&i.push(t),r){const e=i.length>0?`<${r}>`:r;i.push(e)}return i.join(" ")}(`group.${e.package_name}.${e.group}`):a.owner},{name:"Type",value:o?void 0:(s=a.type,"BASE TABLE"==s?{type:"table",name:"table"}:"LATE BINDING VIEW"==s?{type:"view",name:"late binding view"}:{type:s.toLowerCase(),name:s.toLowerCase()}).name},{name:"Package",value:e.package_name},{name:"Language",value:e.language},{name:"Relation",value:r},{name:"Access",value:e.access},{name:"Version",value:e.version},{name:"Contract",value:e.config.contract.enforced?"Enforced":"Not Enforced"}];return i.filter(l,(function(e){return void 0!==e.value}))}e.details=[],e.extended=[],e.exclude=e.exclude||[],e.meta=null,e._show_expanded=!1,e.show_expanded=function(t){return void 0!==t&&(e._show_expanded=t),e._show_expanded},e.hasData=function(e){return!(!e||i.isEmpty(e))&&(1!=e.length||0!=e[0].include)},e.$watch("model",(function(t,n){i.property(["metadata","type"])(t);var l,c,u,d=t.hasOwnProperty("sources")&&null!=t.sources[0]?t.sources[0].source_meta:null;if(e.meta=t.meta||d,e.details=s(t),e.extended=(l=t.stats,c={rows:a,row_count:a,num_rows:a,max_varchar:a,pct_used:o,size:r,bytes:r,num_bytes:r},u=i.sortBy(i.values(l),"label"),i.map(u,(function(e){var t=i.clone(e),n=c[e.id];return n&&(t.value=n(e.value),t.label=e.label.replace("Approximate","~"),t.label=e.label.replace("Utilization","Used")),t}))),e.extras){var p=i.filter(e.extras,(function(e){return void 0!==e.value&&null!==e.value}));e.details=e.details.concat(p)}e.show_extended=i.where(e.extended,{include:!0}).length>0})),e.queryTag=function(t){e.$emit("query",t)}}}}])},function(e,t){var n="/components/table_details/table_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="section-content">\n    <h6>Details</h6>\n    <div class="panel">\n        <div class="panel-body">\n            <div class="details">\n                <div class="details-content">\n                    <div class="detail-group" ng-if="hasData(meta)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="(k, v) in meta">\n                                <dt class="detail-label">{{ k }}</dt>\n                                <dd class="detail-value">{{ v }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group">\n                        <div class="detail-body">\n                            <dl class=\'detail\' ng-if="model.tags != undefined && exclude.indexOf(\'tags\') == -1">\n                                <dt class="detail-label">Tags</dt>\n                                <dd ng-if="model.tags.length > 0" class="detail-value">\n                                    <span ng-repeat="tag in model.tags"><code><a ng-click=queryTag(tag)>{{ tag }}</a></code>&nbsp;</span>\n                                </dd>\n                                <dd ng-if="model.tags.length == 0" class="detail-value">untagged</dd>\n                            </dl>\n                            <dl class="detail"\n                                ng-repeat="item in details">\n                                <dt class="detail-label">{{ item.name }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group" ng-if="hasData(extended)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="item in extended"\n                                ng-if="item.include">\n                                <dt data-toggle="tooltip" title="{{ item.description }}" class="detail-label">{{ item.label }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(434);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"\n\n.details-content {\n    table-layout: fixed;\n}\n\n.detail-body {\n    white-space: nowrap;\n    overflow-x: scroll;\n}\n",""])},function(e,t,n){"use strict";const r=n(436),i=n(21);angular.module("dbt").directive("columnDetails",["project",function(e){return{scope:{model:"="},templateUrl:r,link:function(t){t.has_test=function(e,t){return-1!=i.pluck(e.tests,"short").indexOf(t)},t.has_constraint=function(e,t){return e.constraints.some(e=>e.type===t)},t.has_more_info=function(e){var t=e.tests||[],n=e.description||"",r=e.meta||{},o=e.constraints||[];return t.length||n.length||o.length||!i.isEmpty(r)},t.toggle_column_expanded=function(e){t.has_more_info(e)&&(e.expanded=!e.expanded)},t.getState=function(e){return"dbt."+e.resource_type},t.get_col_name=function(t){return e.caseColumn(t)},t.get_columns=function(e){var t=i.chain(e.columns).values().sortBy("index").value();return i.each(t,(function(e,t){e.index=t})),t}}}}])},function(e,t){var n="/components/column_details/column_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="panel">\n    <div class="panel-body">\n        <div ng-if="_.isEmpty(model.columns)">\n            Column information is not available for this seed\n        </div>\n        <div class="table-responsive"\n             style="max-height: 800px; overflow-y: scroll;"\n             ng-if="!_.isEmpty(model.columns)">\n            <table class="table table-borderless table-hover">\n                <thead>\n                    <tr>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Column</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Type</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;">Constraints</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;">Tests</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                    </tr>\n                </thead>\n                <tbody>\n                    <tr\n                        ng-repeat-start="column in get_columns(model) track by column.index"\n                        ng-click="toggle_column_expanded(column)"\n                        class="column-row"\n                        ng-class="{\'column-row-selected\': column.expanded}"\n                        ng-style="{cursor: has_more_info(column) ? \'pointer\' : \'auto\'}">\n                        <td>\n                            <div>\n                                <span class=\'text-dark\'>{{ get_col_name(column.name) }}</span>\n                            </div>\n                        </td>\n                        <td>\n                            <span class=\'text-dark\'>{{ column.type }}</p>\n                        </td>\n                        <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                            <span ng-show="!column.expanded">{{ column.description }}</span>\n                        </td>\n                        <td>\n                            <span class="text-light" ng-show="!column.expanded">\n                                <span data-toggle="tooltip" title="Not Null" ng-if="has_constraint(column, \'not_null\')">N</span>\n                                <span data-toggle="tooltip" title="Primary Key" ng-if="has_constraint(column, \'primary_key\')">PK</span>\n                                <span data-toggle="tooltip" title="Foreign Key" ng-if="has_constraint(column, \'foreign_key\')">FK</span>\n                                <span data-toggle="tooltip" title="Check" ng-if="has_constraint(column, \'check\')">C</span>\n                                <span data-toggle="tooltip" title="Custom" ng-if="has_constraint(column, \'custom\')">+</span>\n                            </span>\n                        </td>\n                        <td>\n                            <span class="text-light" ng-show="!column.expanded">\n                                <span data-toggle="tooltip" title="Unique" ng-if="has_test(column, \'U\')">U</span>\n                                <span data-toggle="tooltip" title="Not Null" ng-if="has_test(column, \'N\')">N</span>\n                                <span data-toggle="tooltip" title="Foreign Key" ng-if="has_test(column, \'F\')">F</span>\n                                <span data-toggle="tooltip" title="Accepted Values" ng-if="has_test(column, \'A\')">A</span>\n                                <span data-toggle="tooltip" title="Custom Test" ng-if="has_test(column, \'+\')">+</span>\n                            </span>\n                        </td>\n                        <td class=\'text-center\'>\n                            <span class=\'text-light\' ng-show="has_more_info(column)">\n                                <span ng-if="column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                </span>\n                                <span ng-if="!column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                </span>\n                            </span>\n                        </td>\n                    </tr>\n                    <tr ng-repeat-end ng-show="column.expanded" style="background-color: white; padding: 10px">\n                        <td colspan="5" class="column-expanded">\n                            <div style="padding: 5px 20px">\n                                <div ng-show="column.meta">\n                                    <h5>Details</h5>\n                                    <div class="detail-group" style="padding-bottom: 0">\n                                        <div class="detail-body" style="padding-left: 0">\n                                            <dl class="detail"\n                                                ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                                ng-repeat="(k, v) in column.meta">\n                                                <dt class="detail-label">{{ k }}</dt>\n                                                <dd class="detail-value">{{ v }}</dd>\n                                            </dl>\n                                        </div>\n                                    </div>\n                                </div>\n\n                                <div style="margin-bottom: 15px" ng-if="column.description.length">\n                                    <h5>Description</h5>\n                                    <span marked="column.description"></span>\n                                </div>\n\n                                <div ng-show="column.constraints && column.constraints.length" style="margin-bottom: 15px">\n                                    <h5>Constraints</h5>\n                                    <div class="detail-group" style="padding-bottom: 0">\n                                        <div class="detail-body" style="padding-left: 0">\n                                            <dl class="detail" ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                                ng-repeat="constraint in column.constraints">\n                                                <dt class="detail-label">Name</dt>\n                                                <dd class="detail-value">{{ constraint.name }}</dd>\n                                                <dt class="detail-label">Type</dt>\n                                                <dd class="detail-value">{{ constraint.type }}</dd>\n                                                <dt class="detail-label">Expression</dt>\n                                                <dd class="detail-value">{{ constraint.expression }}</dd>\n                                            </dl>\n                                        </div>\n                                    </div>\n                                </div>\n\n                                <div ng-show="column.tests && column.tests.length" style="margin-bottom: 15px">\n                                    <h5>Generic Tests</h5>\n                                    <ul class="list-unstyled" style="margin-top: 2px">\n                                        <li ng-repeat="test in column.tests" ng-switch on="test.short" class=\'text-light\'>\n                                            <span ng-switch-when="F">\n                                                Foreign Key\n                                                <span ng-if="test.fk_model.unique_id">\n                                                    <a data-ui-state="getState(test.fk_model)"\n                                                        data-ui-state-params="{unique_id: test.fk_model.unique_id}">\n                                                        to {{ test.fk_model.name }}\n                                                    </a> on <code>{{ test.fk_field }}</code>\n                                                </span>\n                                            </span>\n                                            <span ng-switch-when="P">Primary Key</span>\n                                            <span ng-switch-when="U">Unique</span>\n                                            <span ng-switch-when="N">Not Null</span>\n                                            <span ng-switch-default>{{ test.label }}</span>\n                                        </li>\n                                    </ul>\n                                </div>\n                            </div>\n                        </td>\n                    </tr>\n                </tbody>\n            </table>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(438);n(33),n(439);function i(e){return"python"===e?"language-python":"language-sql"}angular.module("dbt").directive("codeBlock",["code","$timeout",function(e,t){return{scope:{versions:"=",default:"<",language:"="},restrict:"E",templateUrl:r,link:function(n,r){n.selected_version=n.default,n.language_class=i(n.language),n.source=null,n.setSelected=function(r){n.selected_version=r,n.source=n.versions[r]||"";const i=n.source.trim();n.highlighted=e.highlight(i,n.language),t((function(){Prism.highlightAll()}))},n.titleCase=function(e){return e.charAt(0).toUpperCase()+e.substring(1)},n.copied=!1,n.copy_to_clipboard=function(){e.copy_to_clipboard(n.source),n.copied=!0,setTimeout((function(){n.$apply((function(){n.copied=!1}))}),1e3)},n.$watch("language",(function(e,t){e&&e!=t&&(n.language_class=i(e))}),!0),n.$watch("versions",(function(e,t){if(e)if(n.default)n.setSelected(n.default);else{var r=Object.keys(n.versions);r.length>0&&n.setSelected(r[0])}}),!0)}}}])},function(e,t){var n="/components/code_block/code_block.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<h6>Code</h6>\n<div class="panel">\n    <div class="panel-body">\n        <ul class="nav nav-tabs">\n            <li\n                ng-repeat="(version_name, version) in versions"\n                ng-class="{active: version_name == selected_version}">\n                <a ng-click="setSelected(version_name)">{{ titleCase(version_name) }}</a>\n            </li>\n            <li class=\'nav-pull-right\'></li>\n            <li>\n                <a class=\'unselectable\'\n                   ng-click="copy_to_clipboard()">{{ copied ? \'copied\' : \'copy to clipboard\' }}</a>\n            </li>\n        </ul>\n        <div style="margin-top: 1px">\n            <pre style="background-color: white"\n                 class=\'code line-numbers\'><code class="source-code highlight" ng-class="language_class" ng-bind-html="highlighted"></code></pre>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(440);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"pre.code {\n    border: none !important;\n    overflow-y: visible !important;\n    overflow-x: scroll !important;\n    padding-bottom: 10px;\n}\n\npre.code code {\n    font-family: Monaco, monospace !important;\n    font-weight: 400 !important;\n}\n\n.line-numbers-rows {\n    border: none !important;\n}\n",""])},function(e,t,n){"use strict";const r=n(442);angular.module("dbt").directive("macroArguments",[function(){return{scope:{macro:"="},templateUrl:r,link:function(e){_.each(e.macro.arguments,(function(e){e.expanded=!1}))}}}])},function(e,t){var n="/components/macro_arguments/index.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n    .arg-header {\n        background-color: white;\n        position: sticky;\n        top: 0;\n        z-index: 1;\n    }\n\n</style>\n\n<div class="panel">\n    <div class="panel-body">\n        <div ng-if="macro.arguments.length == 0">\n            Details are not available for this macro. 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r.endian([c,u,d,p])})._ff=function(e,t,n,r,i,o,a){var s=e+(t&n|~t&r)+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._gg=function(e,t,n,r,i,o,a){var s=e+(t&r|n&~r)+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._hh=function(e,t,n,r,i,o,a){var s=e+(t^n^r)+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._ii=function(e,t,n,r,i,o,a){var s=e+(n^(t|~r))+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._blocksize=16,s._digestsize=16,e.exports=function(e,t){if(null==e)throw new Error("Illegal argument "+e);var n=r.wordsToBytes(s(e,t));return t&&t.asBytes?n:t&&t.asString?a.bytesToString(n):r.bytesToHex(n)}},function(e,t){var n,r;n="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",r={rotl:function(e,t){return e<<t|e>>>32-t},rotr:function(e,t){return e<<32-t|e>>>t},endian:function(e){if(e.constructor==Number)return 16711935&r.rotl(e,8)|4278255360&r.rotl(e,24);for(var t=0;t<e.length;t++)e[t]=r.endian(e[t]);return e},randomBytes:function(e){for(var t=[];e>0;e--)t.push(Math.floor(256*Math.random()));return t},bytesToWords:function(e){for(var t=[],n=0,r=0;n<e.length;n++,r+=8)t[r>>>5]|=e[n]<<24-r%32;return t},wordsToBytes:function(e){for(var t=[],n=0;n<32*e.length;n+=8)t.push(e[n>>>5]>>>24-n%32&255);return t},bytesToHex:function(e){for(var t=[],n=0;n<e.length;n++)t.push((e[n]>>>4).toString(16)),t.push((15&e[n]).toString(16));return t.join("")},hexToBytes:function(e){for(var t=[],n=0;n<e.length;n+=2)t.push(parseInt(e.substr(n,2),16));return t},bytesToBase64:function(e){for(var t=[],r=0;r<e.length;r+=3)for(var i=e[r]<<16|e[r+1]<<8|e[r+2],o=0;o<4;o++)8*r+6*o<=8*e.length?t.push(n.charAt(i>>>6*(3-o)&63)):t.push("=");return t.join("")},base64ToBytes:function(e){e=e.replace(/[^A-Z0-9+\/]/gi,"");for(var t=[],r=0,i=0;r<e.length;i=++r%4)0!=i&&t.push((n.indexOf(e.charAt(r-1))&Math.pow(2,-2*i+8)-1)<<2*i|n.indexOf(e.charAt(r))>>>6-2*i);return t}},e.exports=r},function(e,t){function n(e){return!!e.constructor&&"function"==typeof e.constructor.isBuffer&&e.constructor.isBuffer(e)}
 /*!
  * Determine if an object is a Buffer
  *
  * @author   Feross Aboukhadijeh <https://feross.org>
  * @license  MIT
  */
-e.exports=function(e){return null!=e&&(n(e)||function(e){return"function"==typeof e.readFloatLE&&"function"==typeof e.slice&&n(e.slice(0,0))}(e)||!!e._isBuffer)}},function(e,t,n){n(9).module("dbt").factory("locationService",["$state",function(e){var t={};return t.parseState=function(e){return function(e){return{selected:{include:e.g_i||"",exclude:e.g_e||""},show_graph:!!e.g_v}}(e)},t.setState=function(t){var n=function(e){var t={g_v:1};return t.g_i=e.include,t.g_e=e.exclude,t}(t),r=e.current.name;e.go(r,n)},t.clearState=function(){var t=e.current.name;e.go(t,{g_i:null,g_e:null,g_v:null})},t}])},function(e,t,n){"use strict";const r=n(9),i=n(202);r.module("dbt").controller("OverviewCtrl",["$scope","$state","project",function(e,t,n){e.overview_md="(loading)",n.ready((function(n){let r=t.params.project_name?t.params.project_name:null;var o=n.docs["doc.dbt.__overview__"],a=i.filter(n.docs,{name:"__overview__"});if(i.each(a,(function(e){"dbt"!=e.package_name&&(o=e)})),null!==r){o=n.docs[`doc.${r}.__${r}__`]||o;let e=i.filter(n.docs,{name:`__${r}__`});i.each(e,e=>{e.package_name!==r&&(o=e)})}e.overview_md=o.block_contents}))}])},function(e,t,n){"use strict";n(9).module("dbt").controller("SourceListCtrl",["$scope","$state","project",function(e,t,n){e.source=t.params.source,e.model={},e.extra_table_fields=[],e.has_more_info=function(e){return(e.description||"").length},e.toggle_source_expanded=function(t){e.has_more_info(t)&&(t.expanded=!t.expanded)},n.ready((function(t){var n=_.filter(t.nodes,(function(t){return t.source_name==e.source}));if(0!=n.length){n.sort((e,t)=>e.name.localeCompare(t.name));var r=n[0];e.model={name:e.source,source_description:r.source_description,sources:n};var i=_.uniq(_.map(n,"metadata.owner")),o=_.uniq(_.map(n,"database")),a=_.uniq(_.map(n,"schema"));e.extra_table_fields=[{name:"Loader",value:r.loader},{name:1==i.length?"Owner":"Owners",value:i.join(", ")},{name:1==o.length?"Database":"Databases",value:o.join(", ")},{name:1==a.length?"Schema":"Schemas",value:a.join(", ")},{name:"Tables",value:n.length}]}}))}])},function(e,t,n){const r=n(9),i={main:n(480),overview:n(481),graph:n(482),source:n(205),source_list:n(483),model:n(484),source:n(205),snapshot:n(485),seed:n(486),test:n(487),analysis:n(488),macro:n(489),exposure:n(490),metric:n(491),operation:n(492)};r.module("dbt").config(["$stateProvider","$urlRouterProvider",function(e,t){var n="g_v&g_i&g_e&g_p&g_n";t.otherwise("/overview"),e.state("dbt",{url:"/",abstract:!0,controller:"MainController",templateUrl:i.main}).state("dbt.overview",{url:"overview?"+n,controller:"OverviewCtrl",templateUrl:i.overview}).state("dbt.project_overview",{url:"overview/:project_name?"+n,controller:"OverviewCtrl",templateUrl:i.overview,params:{project_name:{type:"string"}}}).state("dbt.graph",{url:"graph",controller:"GraphCtrl",templateUrl:i.graph}).state("dbt.model",{url:"model/:unique_id?section&"+n,controller:"ModelCtrl",templateUrl:i.model,params:{unique_id:{type:"string"}}}).state("dbt.seed",{url:"seed/:unique_id?section&"+n,controller:"SeedCtrl",templateUrl:i.seed,params:{unique_id:{type:"string"}}}).state("dbt.snapshot",{url:"snapshot/:unique_id?section&"+n,controller:"SnapshotCtrl",templateUrl:i.snapshot,params:{unique_id:{type:"string"}}}).state("dbt.test",{url:"test/:unique_id?section&"+n,controller:"TestCtrl",templateUrl:i.test,params:{unique_id:{type:"string"}}}).state("dbt.analysis",{url:"analysis/:unique_id?section&"+n,controller:"AnalysisCtrl",templateUrl:i.analysis,params:{unique_id:{type:"string"}}}).state("dbt.source",{url:"source/:unique_id?section&"+n,controller:"SourceCtrl",templateUrl:i.source,params:{unique_id:{type:"string"}}}).state("dbt.source_list",{url:"source_list/:source?section&"+n,controller:"SourceListCtrl",templateUrl:i.source_list,params:{source:{type:"string"}}}).state("dbt.macro",{url:"macro/:unique_id?section",controller:"MacroCtrl",templateUrl:i.macro,params:{unique_id:{type:"string"}}}).state("dbt.exposure",{url:"exposure/:unique_id?section&"+n,controller:"ExposureCtrl",templateUrl:i.exposure,params:{unique_id:{type:"string"}}}).state("dbt.metric",{url:"metric/:unique_id?section&"+n,controller:"MetricCtrl",templateUrl:i.metric,params:{unique_id:{type:"string"}}}).state("dbt.operation",{url:"operation/:unique_id?section&"+n,controller:"OperationCtrl",templateUrl:i.operation,params:{unique_id:{type:"string"}}})}])},function(e,t){var n="/main/main.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n.no-x-overflow {\n    overflow-x: hidden;\n}\n\n.logo {\n    width: 140px;\n    height: 46px ;\n}\n</style>\n\n<div>\n    <graph-launcher></graph-launcher>\n\n    <div class="app app-row">\n        <div class="app-menu app-column">\n            <div class="app-overlay" data-toggle=".app-menu"></div>\n            <div class="app-header app-navbar app-shadow app-pad">\n                <div class="app-row app-middle">\n                    <div class="app-body">\n                        <div class="logo">\n                            <img style="width: 100px; height: 40px" class="logo" ng-src="{{ logo }}" />\n                        </div>\n                    </div>\n                </div>\n            </div>\n            <div class="app-body">\n                <div class="app-scroll app-pad app-flush-right no-x-overflow">\n                    <model-tree tree="tree"></model-tree>\n                </div>\n            </div>\n        </div>\n        <div class="app-content app-column">\n            <div class="app-header app-navbar app-shadow">\n                <div class="app-frame app-pad app-row app-middle">\n                        <input\n                            id="search"\n                            ng-model="search.query"\n                            ng-focus="onSearchFocus($event, true)"\n                            ng-keydown="onSearchKeypress($event)"\n                            type="text"\n                            class="form-control"\n                            placeholder="Search for models..." />\n                    <div class="app-body">\n                    </div>\n                    <div class="app-footer app-icn" ng-show="search.is_focused" ng-click="clearSearch()">\n                        <svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                    </div>\n                </div>\n            </div>\n            <div class=\'app-body\' ng-show=\'!search.is_focused\' ui-view></div>\n            <div class="app-body" ng-show="search.is_focused">\n                <docs-search query="search.query" results="search.results" on-select="clearSearch()"></docs-search>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/overview/overview.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-details app-scroll app-pad">\n    <app-scroll div class="app-frame app-pad">\n        <div class="panel panel-default">\n            <div class="panel-body">\n                <p marked=\'overview_md\'></p>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/graph/graph.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div ng-controller="GraphCtrl" id=\'graph-container\' style="width: 100%">\n    <div class=\'row viz-container\' style="margin: 0">\n        <div class=\'col-md-12\'>\n             <div graph-viz\n                        viz-options="graph.options"\n                        viz-elements="graph.elements"\n                        viz-style="graph.style"\n                        viz-layout="graph.layout"\n                        viz-ready="graph.ready"\n                        viz-size="{height: \'800px\', width: \'100%\'}"></div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/sources/source_list.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ source }}</span>\n                    <small>source</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'sources\'})">Sources</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" extras="extra_table_fields"/>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.source_description" class="model-markdown" marked="model.source_description"></div>\n                            <div ng-if="!model.source_description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n\n            <section class="section">\n                <div class="section-target" id="sources"></div>\n                <div class="section-content">\n                    <h6>Source Tables</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div class="table-responsive" style="max-height: 800px; overflow-y: scroll;" ng-if="!_.isEmpty(model.sources)">\n                                <table class="table table-borderless table-hover">\n                                    <thead>\n                                        <tr>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Source</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Table</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Link</th>\n                                            <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                                        </tr>\n                                    </thead>\n                                    <tbody>\n                                        <tr\n                                            ng-repeat-start="source in model.sources track by source.name"\n                                            ng-click="toggle_source_expanded(source)"\n                                            class="column-row"\n                                            ng-class="{\'column-row-selected\': source.expanded}"\n                                            ng-style="{cursor: has_more_info(source) ? \'pointer\' : \'auto\'}">\n                                            <td>\n                                                <div>\n                                                    <span class=\'text-dark\'>{{ source.source_name }}</span>\n                                                </div>\n                                            </td>\n                                            <td>\n                                                <span class=\'text-dark\'>{{ source.name }}</p>\n                                            </td>\n                                            <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                                                <span ng-show="!column.expanded">{{ source.description }}</span>\n                                            </td>\n                                            <td>\n                                                <a ui-sref="dbt.source({unique_id: source.unique_id})">View docs</a>\n                                            </td>\n                                            <td class=\'text-center\'>\n                                                <span class=\'text-light\' ng-show="has_more_info(source)">\n                                                    <span ng-if="source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                                    </span>\n                                                    <span ng-if="!source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                                    </span>\n                                                </span>\n                                            </td>\n                                        </tr>\n                                        <tr ng-repeat-end ng-show="source.expanded" style="background-color: white; padding: 10px">\n                                            <td colspan="5" class="column-expanded">\n                                                <div style="padding: 5px 20px">\n                                                    <div style="margin-bottom: 15px">\n                                                        <h5>Description</h5>\n                                                        <span marked="source.description"></span>\n                                                    </div>\n                                                </div>\n                                            </td>\n                                        </tr>\n                                    </tbody>\n                                </table>\n                            </div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/model.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This model is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.model({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.model({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model"></table-details>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/snapshot.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/seed.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.seed({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.seed({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/test.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>test</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.test({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/analysis.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>Analysis</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.analysis({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'sql\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="sql"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/macro.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ macro.package_name }}.{{ macro.name }}</span>\n                    <small ng-if="macro.is_adapter_macro">adapter macro</small>\n                    <small ng-if="!macro.is_adapter_macro">macro</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'arguments\'})">Arguments</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.macro({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.macro({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="macro.description" class="model-markdown" marked="macro.description"></div>\n                            <div ng-if="!macro.description">This {{ macro.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="arguments"></div>\n                <div class="section-content">\n                    <h6>Arguments</h6>\n                    <macro-arguments macro="macro"></macro-arguments>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="macro" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="macro" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/exposure.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ exposure.label }}</span>\n                    <small>exposure</small>\n\n                    <div class=\'pull-right\' ng-show="exposure.url">\n                        <a class=\'btn text-white btn-primary btn-sm\' ng-href="{{ exposure.url }}" target="_blank">View this exposure</a>\n                    </div>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.exposure({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="exposure" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="exposure.description" class="model-markdown" marked="exposure.description"></div>\n                            <div ng-if="!exposure.description">This {{ exposure.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="exposure" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/metric.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ metric.label }}</span>\n                    <small>metric</small>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.metric({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="metric" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="metric.description" class="model-markdown" marked="metric.description"></div>\n                            <div ng-if="!metric.description">This {{ metric.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="metric" />\n                </div>\n            </section>\n\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/operation.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>operation</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.operation({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n}]);
+e.exports=function(e){return null!=e&&(n(e)||function(e){return"function"==typeof e.readFloatLE&&"function"==typeof e.slice&&n(e.slice(0,0))}(e)||!!e._isBuffer)}},function(e,t,n){n(9).module("dbt").factory("locationService",["$state",function(e){var t={};return t.parseState=function(e){return function(e){return{selected:{include:e.g_i||"",exclude:e.g_e||""},show_graph:!!e.g_v}}(e)},t.setState=function(t){var n=function(e){var t={g_v:1};return t.g_i=e.include,t.g_e=e.exclude,t}(t),r=e.current.name;e.go(r,n)},t.clearState=function(){var t=e.current.name;e.go(t,{g_i:null,g_e:null,g_v:null})},t}])},function(e,t,n){"use strict";const r=n(9),i=n(202);r.module("dbt").controller("OverviewCtrl",["$scope","$state","project",function(e,t,n){e.overview_md="(loading)",n.ready((function(n){let r=t.params.project_name?t.params.project_name:null;var o=n.docs["doc.dbt.__overview__"],a=i.filter(n.docs,{name:"__overview__"});if(i.each(a,(function(e){"dbt"!=e.package_name&&(o=e)})),null!==r){o=n.docs[`doc.${r}.__${r}__`]||o;let e=i.filter(n.docs,{name:`__${r}__`});i.each(e,e=>{e.package_name!==r&&(o=e)})}e.overview_md=o.block_contents}))}])},function(e,t,n){"use strict";n(9).module("dbt").controller("SourceListCtrl",["$scope","$state","project",function(e,t,n){e.source=t.params.source,e.model={},e.extra_table_fields=[],e.has_more_info=function(e){return(e.description||"").length},e.toggle_source_expanded=function(t){e.has_more_info(t)&&(t.expanded=!t.expanded)},n.ready((function(t){var n=_.filter(t.nodes,(function(t){return t.source_name==e.source}));if(0!=n.length){n.sort((e,t)=>e.name.localeCompare(t.name));var r=n[0];e.model={name:e.source,source_description:r.source_description,sources:n};var i=_.uniq(_.map(n,"metadata.owner")),o=_.uniq(_.map(n,"database")),a=_.uniq(_.map(n,"schema"));e.extra_table_fields=[{name:"Loader",value:r.loader},{name:1==i.length?"Owner":"Owners",value:i.join(", ")},{name:1==o.length?"Database":"Databases",value:o.join(", ")},{name:1==a.length?"Schema":"Schemas",value:a.join(", ")},{name:"Tables",value:n.length}]}}))}])},function(e,t,n){const r=n(9),i={main:n(482),overview:n(483),graph:n(484),source:n(205),source_list:n(485),model:n(486),source:n(205),snapshot:n(487),seed:n(488),test:n(489),analysis:n(490),macro:n(491),exposure:n(492),metric:n(493),semantic_model:n(494),operation:n(495)};r.module("dbt").config(["$stateProvider","$urlRouterProvider",function(e,t){var n="g_v&g_i&g_e&g_p&g_n";t.otherwise("/overview"),e.state("dbt",{url:"/",abstract:!0,controller:"MainController",templateUrl:i.main}).state("dbt.overview",{url:"overview?"+n,controller:"OverviewCtrl",templateUrl:i.overview}).state("dbt.project_overview",{url:"overview/:project_name?"+n,controller:"OverviewCtrl",templateUrl:i.overview,params:{project_name:{type:"string"}}}).state("dbt.graph",{url:"graph",controller:"GraphCtrl",templateUrl:i.graph}).state("dbt.model",{url:"model/:unique_id?section&"+n,controller:"ModelCtrl",templateUrl:i.model,params:{unique_id:{type:"string"}}}).state("dbt.seed",{url:"seed/:unique_id?section&"+n,controller:"SeedCtrl",templateUrl:i.seed,params:{unique_id:{type:"string"}}}).state("dbt.snapshot",{url:"snapshot/:unique_id?section&"+n,controller:"SnapshotCtrl",templateUrl:i.snapshot,params:{unique_id:{type:"string"}}}).state("dbt.test",{url:"test/:unique_id?section&"+n,controller:"TestCtrl",templateUrl:i.test,params:{unique_id:{type:"string"}}}).state("dbt.analysis",{url:"analysis/:unique_id?section&"+n,controller:"AnalysisCtrl",templateUrl:i.analysis,params:{unique_id:{type:"string"}}}).state("dbt.source",{url:"source/:unique_id?section&"+n,controller:"SourceCtrl",templateUrl:i.source,params:{unique_id:{type:"string"}}}).state("dbt.source_list",{url:"source_list/:source?section&"+n,controller:"SourceListCtrl",templateUrl:i.source_list,params:{source:{type:"string"}}}).state("dbt.macro",{url:"macro/:unique_id?section",controller:"MacroCtrl",templateUrl:i.macro,params:{unique_id:{type:"string"}}}).state("dbt.exposure",{url:"exposure/:unique_id?section&"+n,controller:"ExposureCtrl",templateUrl:i.exposure,params:{unique_id:{type:"string"}}}).state("dbt.metric",{url:"metric/:unique_id?section&"+n,controller:"MetricCtrl",templateUrl:i.metric,params:{unique_id:{type:"string"}}}).state("dbt.semantic_model",{url:"semantic_model/:unique_id?section&"+n,controller:"SemanticModelCtrl",templateUrl:i.semantic_model,params:{unique_id:{type:"string"}}}).state("dbt.operation",{url:"operation/:unique_id?section&"+n,controller:"OperationCtrl",templateUrl:i.operation,params:{unique_id:{type:"string"}}})}])},function(e,t){var n="/main/main.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n.no-x-overflow {\n    overflow-x: hidden;\n}\n\n.logo {\n    width: 140px;\n    height: 46px ;\n}\n</style>\n\n<div>\n    <graph-launcher></graph-launcher>\n\n    <div class="app app-row">\n        <div class="app-menu app-column">\n            <div class="app-overlay" data-toggle=".app-menu"></div>\n            <div class="app-header app-navbar app-shadow app-pad">\n                <div class="app-row app-middle">\n                    <div class="app-body">\n                        <div class="logo">\n                            <img style="width: 100px; height: 40px" class="logo" ng-src="{{ logo }}" />\n                        </div>\n                    </div>\n                </div>\n            </div>\n            <div class="app-body">\n                <div class="app-scroll app-pad app-flush-right no-x-overflow">\n                    <model-tree tree="tree"></model-tree>\n                </div>\n            </div>\n        </div>\n        <div class="app-content app-column">\n            <div class="app-header app-navbar app-shadow">\n                <div class="app-frame app-pad app-row app-middle">\n                        <input\n                            id="search"\n                            ng-model="search.query"\n                            ng-focus="onSearchFocus($event, true)"\n                            ng-keydown="onSearchKeypress($event)"\n                            type="text"\n                            class="form-control"\n                            placeholder="Search for models..." />\n                    <div class="app-body">\n                    </div>\n                    <div class="app-footer app-icn" ng-show="search.is_focused" ng-click="clearSearch()">\n                        <svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                    </div>\n                </div>\n            </div>\n            <div class=\'app-body\' ng-show=\'!search.is_focused\' ui-view></div>\n            <div class="app-body" ng-show="search.is_focused">\n                <docs-search query="search.query" results="search.results" on-select="clearSearch()"></docs-search>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/overview/overview.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-details app-scroll app-pad">\n    <app-scroll div class="app-frame app-pad">\n        <div class="panel panel-default">\n            <div class="panel-body">\n                <p marked=\'overview_md\'></p>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/graph/graph.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div ng-controller="GraphCtrl" id=\'graph-container\' style="width: 100%">\n    <div class=\'row viz-container\' style="margin: 0">\n        <div class=\'col-md-12\'>\n             <div graph-viz\n                        viz-options="graph.options"\n                        viz-elements="graph.elements"\n                        viz-style="graph.style"\n                        viz-layout="graph.layout"\n                        viz-ready="graph.ready"\n                        viz-size="{height: \'800px\', width: \'100%\'}"></div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/sources/source_list.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ source }}</span>\n                    <small>source</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'sources\'})">Sources</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" extras="extra_table_fields"/>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.source_description" class="model-markdown" marked="model.source_description"></div>\n                            <div ng-if="!model.source_description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n\n            <section class="section">\n                <div class="section-target" id="sources"></div>\n                <div class="section-content">\n                    <h6>Source Tables</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div class="table-responsive" style="max-height: 800px; overflow-y: scroll;" ng-if="!_.isEmpty(model.sources)">\n                                <table class="table table-borderless table-hover">\n                                    <thead>\n                                        <tr>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Source</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Table</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Link</th>\n                                            <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                                        </tr>\n                                    </thead>\n                                    <tbody>\n                                        <tr\n                                            ng-repeat-start="source in model.sources track by source.name"\n                                            ng-click="toggle_source_expanded(source)"\n                                            class="column-row"\n                                            ng-class="{\'column-row-selected\': source.expanded}"\n                                            ng-style="{cursor: has_more_info(source) ? \'pointer\' : \'auto\'}">\n                                            <td>\n                                                <div>\n                                                    <span class=\'text-dark\'>{{ source.source_name }}</span>\n                                                </div>\n                                            </td>\n                                            <td>\n                                                <span class=\'text-dark\'>{{ source.name }}</p>\n                                            </td>\n                                            <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                                                <span ng-show="!column.expanded">{{ source.description }}</span>\n                                            </td>\n                                            <td>\n                                                <a ui-sref="dbt.source({unique_id: source.unique_id})">View docs</a>\n                                            </td>\n                                            <td class=\'text-center\'>\n                                                <span class=\'text-light\' ng-show="has_more_info(source)">\n                                                    <span ng-if="source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                                    </span>\n                                                    <span ng-if="!source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                                    </span>\n                                                </span>\n                                            </td>\n                                        </tr>\n                                        <tr ng-repeat-end ng-show="source.expanded" style="background-color: white; padding: 10px">\n                                            <td colspan="5" class="column-expanded">\n                                                <div style="padding: 5px 20px">\n                                                    <div style="margin-bottom: 15px">\n                                                        <h5>Description</h5>\n                                                        <span marked="source.description"></span>\n                                                    </div>\n                                                </div>\n                                            </td>\n                                        </tr>\n                                    </tbody>\n                                </table>\n                            </div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/model.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This model is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.model({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.model({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model"></table-details>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/snapshot.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/seed.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.seed({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.seed({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/test.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>test</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.test({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/analysis.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>Analysis</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.analysis({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'sql\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="sql"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/macro.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ macro.package_name }}.{{ macro.name }}</span>\n                    <small ng-if="macro.is_adapter_macro">adapter macro</small>\n                    <small ng-if="!macro.is_adapter_macro">macro</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'arguments\'})">Arguments</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.macro({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.macro({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="macro.description" class="model-markdown" marked="macro.description"></div>\n                            <div ng-if="!macro.description">This {{ macro.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="arguments"></div>\n                <div class="section-content">\n                    <h6>Arguments</h6>\n                    <macro-arguments macro="macro"></macro-arguments>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="macro" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="macro" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/exposure.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ exposure.label }}</span>\n                    <small>exposure</small>\n\n                    <div class=\'pull-right\' ng-show="exposure.url">\n                        <a class=\'btn text-white btn-primary btn-sm\' ng-href="{{ exposure.url }}" target="_blank">View this exposure</a>\n                    </div>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.exposure({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="exposure" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="exposure.description" class="model-markdown" marked="exposure.description"></div>\n                            <div ng-if="!exposure.description">This {{ exposure.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="exposure" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/metric.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ metric.label }}</span>\n                    <small>metric</small>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.metric({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="metric" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="metric.description" class="model-markdown" marked="metric.description"></div>\n                            <div ng-if="!metric.description">This {{ metric.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="metric" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/semantic_model.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ semantic_model.name }}</span>\n                    <small>semantic_model</small>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.semantic_model({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.semantic_model({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.semantic_model({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="semantic_model" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="semantic_model.description" class="model-markdown" marked="semantic_model.description"></div>\n                            <div ng-if="!semantic_model.description">This {{ semantic_model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "semantic_model.entities.length != 0">\n                <div class="section-target" id="entities"></div>\n                <div class="section-content">\n                    <h6>Entities</h6>\n\n                <div class="panel">\n                    <div class="detail-group" style="padding-bottom: 0">\n                        <div class="detail-body" style="padding-left: 0">\n                            <dl class="detail" ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                ng-repeat="entity in semantic_model.entities">\n                                <dt class="detail-label">Name</dt>\n                                <dd class="detail-value" ng-if="entity.name">{{ entity.name }}</dd>\n                                <dd class="detail-value" ng-if="!entity.name">None</dd>\n                                <dt class="detail-label">Type</dt>\n                                <dd class="detail-value" ng-if="entity.type">{{ entity.type }}</dd>\n                                <dd class="detail-value" ng-if="!entity.type">None</dd>\n                                <dt class="detail-label">Expression</dt>\n                                <dd class="detail-value" ng-if="entity.expr">{{ entity.expr }}</dd>\n                                <dd class="detail-value" ng-if="!entity.expr">None</dd>\n                            </dl>\n                        </div>\n                    </div>\n                </div>\n            </div>\n        </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="semantic_model" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/operation.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>operation</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.operation({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n}]);
 //# sourceMappingURL=main.js.map</script></body>
 </html>
diff --git a/docs/manifest.json b/docs/manifest.json
index be52a5b..8b68b76 100644
--- a/docs/manifest.json
+++ b/docs/manifest.json
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"\"postgres\".\"google_ads_integration_tests_31\".\"account_stats_data\"", "raw_code": "", "root_path": "/Users/catherinefritz/Documents/dbt_packages/google_ads/dbt_google_ads/integration_tests", "depends_on": {"macros": []}}, "seed.google_ads_integration_tests.ad_stats_data": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "ad_stats_data", "resource_type": "seed", "package_name": "google_ads_integration_tests", "path": "ad_stats_data.csv", "original_file_path": "seeds/ad_stats_data.csv", "unique_id": "seed.google_ads_integration_tests.ad_stats_data", "fqn": ["google_ads_integration_tests", "ad_stats_data"], "alias": "ad_stats_data", "checksum": {"name": "sha256", "checksum": "7aa7a5c05d68344ef454636b9f70e4e69869c5d78f677b20df600e5ac2ddcb25"}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "group": null, "materialized": "seed", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {"customer_id": "bigint", "ad_id": "bigint", "campaign_id": "bigint", "id": "bigint", "base_campaign_id": "bigint", "base_ad_group_id": "bigint", "ad_group_id": "bigint", "ad_group_criterion_criterion_id": "bigint", "base_adgroup_id": "bigint"}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "quote_columns": null, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"column_types": {"customer_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "ad_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "campaign_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "base_campaign_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "base_ad_group_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "ad_group_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "ad_group_criterion_criterion_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}", "base_adgroup_id": "{{ 'INT64' if target.type == 'bigquery' else 'bigint' }}"}}, "created_at": 1693595969.449483, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"ad_stats_data\"", "raw_code": "", "root_path": "/Users/catherinefritz/Documents/dbt_packages/google_ads/dbt_google_ads/integration_tests", "depends_on": {"macros": []}}, "model.google_ads.google_ads__keyword_report": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads", "name": "google_ads__keyword_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__keyword_report.sql", "original_file_path": "models/google_ads__keyword_report.sql", "unique_id": "model.google_ads.google_ads__keyword_report", "fqn": ["google_ads", "google_ads__keyword_report"], "alias": "google_ads__keyword_report", "checksum": {"name": "sha256", "checksum": "a8c876cbdb71e22b36acc3868b8c1b204e5440de174b62792264c247ec8fc7cd"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the ad group level for keywords.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "criterion_id": {"name": "criterion_id", "description": "The unique identifier of the criterion being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of keyword ad being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The status of the keyword ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_match_type": {"name": "keyword_match_type", "description": "The match type criteria used for the keyword ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_text": {"name": "keyword_text", "description": "The specific keyword text that is used.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1693595969.8065448, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__keyword_report\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('keyword_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n),\n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n), \n\ncriterions as (\n\n    select *\n    from {{ var('ad_group_criterion_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        criterions.criterion_id,\n        criterions.type,\n        criterions.status,\n        criterions.keyword_match_type,\n        criterions.keyword_text,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__keyword_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join criterions\n        on stats.criterion_id = criterions.criterion_id\n        and stats.source_relation = criterions.source_relation\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n        and stats.source_relation = ad_groups.source_relation\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n        and stats.source_relation = campaigns.source_relation\n    left join accounts\n        on stats.account_id = accounts.account_id\n        and stats.source_relation = accounts.source_relation\n    {{ dbt_utils.group_by(14) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_criterion_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__keyword_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats\"\n), \n\naccounts as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    where is_most_recent_record = True\n),\n\ncampaigns as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"\n    where is_most_recent_record = True\n), \n\ncriterions as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_criterion_history\"\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        criterions.criterion_id,\n        criterions.type,\n        criterions.status,\n        criterions.keyword_match_type,\n        criterions.keyword_text,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join criterions\n        on stats.criterion_id = criterions.criterion_id\n        and stats.source_relation = criterions.source_relation\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n        and stats.source_relation = ad_groups.source_relation\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n        and stats.source_relation = campaigns.source_relation\n    left join accounts\n        on stats.account_id = accounts.account_id\n        and stats.source_relation = accounts.source_relation\n    group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads.google_ads__campaign_report": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads", "name": "google_ads__campaign_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__campaign_report.sql", "original_file_path": "models/google_ads__campaign_report.sql", "unique_id": "model.google_ads.google_ads__campaign_report", "fqn": ["google_ads", "google_ads__campaign_report"], "alias": "google_ads__campaign_report", "checksum": {"name": "sha256", "checksum": "a2f0462e361e21f8da36beba703b6b096fb8c83b1e99f20513c5aaace48b5402"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance of a campaign at the campaign/advertising_channel/advertising_channel_subtype level.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_type": {"name": "advertising_channel_type", "description": "The channel type of the ads being served within the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_subtype": {"name": "advertising_channel_subtype", "description": "The channel subtype of the ads being served within the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The status of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1693595969.8033888, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__campaign_report\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('campaign_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        campaigns.advertising_channel_type,\n        campaigns.advertising_channel_subtype,\n        campaigns.status,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__campaign_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n        and stats.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n    {{ dbt_utils.group_by(10) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__campaign_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats\"\n), \n\naccounts as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        campaigns.advertising_channel_type,\n        campaigns.advertising_channel_subtype,\n        campaigns.status,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n        and stats.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n    group by 1,2,3,4,5,6,7,8,9,10\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads.google_ads__url_report": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads", "name": "google_ads__url_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__url_report.sql", "original_file_path": "models/google_ads__url_report.sql", "unique_id": "model.google_ads.google_ads__url_report", "fqn": ["google_ads", "google_ads__url_report"], "alias": "google_ads__url_report", "checksum": {"name": "sha256", "checksum": "5670057bffd1ee47d04ba0acc450393496aa4255b8ea803d7c5231d794564d4a"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance of URLs at the ad level.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The unique identifier of the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_url": {"name": "base_url", "description": "The base URL of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_host": {"name": "url_host", "description": "The URL host of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_path": {"name": "url_path", "description": "The URL path of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_source": {"name": "utm_source", "description": "The utm_source parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_medium": {"name": "utm_medium", "description": "The utm_medium parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_campaign": {"name": "utm_campaign", "description": "The utm_campaign parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_content": {"name": "utm_content", "description": "The utm_content parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_term": {"name": "utm_term", "description": "The utm_term parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1693595969.7930949, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__url_report\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('ad_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from {{ var('ad_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.base_url,\n        ads.url_host,\n        ads.url_path,\n\n        {% if var('google_auto_tagging_enabled', false) %}\n\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_source') }} , 'google')  as utm_source,\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_medium') }} , 'cpc') as utm_medium,\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_campaign') }} , campaigns.campaign_name) as utm_campaign,\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_content') }} , ad_groups.ad_group_name) as utm_content,\n\n        {% else %}\n\n        ads.utm_source,\n        ads.utm_medium,\n        ads.utm_campaign,\n        ads.utm_content,\n        \n        {% endif %}\n\n        ads.utm_term,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__ad_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.source_relation = ads.source_relation\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n        and ads.source_relation = ad_groups.source_relation\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n        and ad_groups.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n\n    {% if var('ad_reporting__url_report__using_null_filter', True) %}\n        where ads.source_final_urls is not null\n    {% endif %}\n\n    {{ dbt_utils.group_by(18) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__url_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats\"\n), \n\naccounts as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history\"\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.base_url,\n        ads.url_host,\n        ads.url_path,\n\n        \n\n        ads.utm_source,\n        ads.utm_medium,\n        ads.utm_campaign,\n        ads.utm_content,\n        \n        \n\n        ads.utm_term,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.source_relation = ads.source_relation\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n        and ads.source_relation = ad_groups.source_relation\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n        and ad_groups.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n\n    \n        where ads.source_final_urls is not null\n    \n\n    group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads.google_ads__ad_report": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads", "name": "google_ads__ad_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__ad_report.sql", "original_file_path": "models/google_ads__ad_report.sql", "unique_id": "model.google_ads.google_ads__ad_report", "fqn": ["google_ads", "google_ads__ad_report"], "alias": "google_ads__ad_report", "checksum": {"name": "sha256", "checksum": "4bfbfe721cf00ad91dfcc6e48754a2904ce7e6962948fd7eef7cb3ed699f0894"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the ad level.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The unique identifier of the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "display_url": {"name": "display_url", "description": "The url which is displayed with the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_final_urls": {"name": "source_final_urls", "description": "The final urls that are used within the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_status": {"name": "ad_status", "description": "The status of the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_type": {"name": "ad_type", "description": "The type of the ad that is being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1693595969.800915, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__ad_report\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('ad_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from {{ var('ad_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.ad_name,\n        ads.ad_status,\n        ads.ad_type,\n        ads.display_url,\n        ads.source_final_urls,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__ad_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.source_relation = ads.source_relation\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n        and ads.source_relation = ad_groups.source_relation\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n        and ad_groups.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n    {{ dbt_utils.group_by(15) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__ad_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats\"\n), \n\naccounts as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history\"\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.ad_name,\n        ads.ad_status,\n        ads.ad_type,\n        ads.display_url,\n        ads.source_final_urls,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.source_relation = ads.source_relation\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n        and ads.source_relation = ad_groups.source_relation\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n        and ad_groups.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n    group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads.google_ads__ad_group_report": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads", "name": "google_ads__ad_group_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__ad_group_report.sql", "original_file_path": "models/google_ads__ad_group_report.sql", "unique_id": "model.google_ads.google_ads__ad_group_report", "fqn": ["google_ads", "google_ads__ad_group_report"], "alias": "google_ads__ad_group_report", "checksum": {"name": "sha256", "checksum": "c30339466f3041589df69371ea0133a54eefff70640bdcafa5b5cd7cdb2ef524"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the ad group level.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_status": {"name": "ad_group_status", "description": "The status of the ad group.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_type": {"name": "ad_group_type", "description": "The type of ad group which is serving ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1693595969.7978292, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__ad_group_report\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('ad_group_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n),\n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        ad_groups.ad_group_status,\n        ad_groups.ad_group_type,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__ad_group_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n        and stats.source_relation = ad_groups.source_relation\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n        and ad_groups.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n    {{ dbt_utils.group_by(11) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__ad_group_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats\"\n), \n\naccounts as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\n    where is_most_recent_record = True\n),\n\nad_groups as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        ad_groups.ad_group_status,\n        ad_groups.ad_group_type,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n        and stats.source_relation = ad_groups.source_relation\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n        and ad_groups.source_relation = campaigns.source_relation\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n        and campaigns.source_relation = accounts.source_relation\n    group by 1,2,3,4,5,6,7,8,9,10,11\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads.google_ads__account_report": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads", "name": "google_ads__account_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__account_report.sql", "original_file_path": "models/google_ads__account_report.sql", "unique_id": "model.google_ads.google_ads__account_report", "fqn": ["google_ads", "google_ads__account_report"], "alias": "google_ads__account_report", "checksum": {"name": "sha256", "checksum": "e7bb52a0d1e710380e85bb1180c202c80a93c6602792574f5086413deaa1bd64"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the account level.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The time zone which the account is located.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_tagging_enabled": {"name": "auto_tagging_enabled", "description": "Boolean indicating if the account uses auto tagging within ad urls.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1693595969.795182, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__account_report\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('account_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        accounts.auto_tagging_enabled,\n        accounts.time_zone,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__account_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join accounts\n        on stats.account_id = accounts.account_id\n        and stats.source_relation = accounts.source_relation\n    {{ dbt_utils.group_by(7) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats", "model.google_ads_source.stg_google_ads__account_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__account_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats\"\n), \n\naccounts as (\n\n    select *\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.source_relation,\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        accounts.auto_tagging_enabled,\n        accounts.time_zone,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join accounts\n        on stats.account_id = accounts.account_id\n        and stats.source_relation = accounts.source_relation\n    group by 1,2,3,4,5,6,7\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_group_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_group_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_group_stats.sql", "original_file_path": "models/stg_google_ads__ad_group_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_stats", "fqn": ["google_ads_source", "stg_google_ads__ad_group_stats"], "alias": "stg_google_ads__ad_group_stats", "checksum": {"name": "sha256", "checksum": "2c6565d65c5a7e2cd6469ab2da148f39df46c230134e485c29080d5474fbede2"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of an ad group in Google Ads broken down to the ad network and device type.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.8695831, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_group_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_group_stats_tmp')),\n                staging_columns=get_ad_group_stats_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation,\n        customer_id as account_id, \n        date as date_day, \n        cast(id as {{ dbt.type_string() }}) as ad_group_id, \n        campaign_id, \n        device,\n        ad_network_type,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__ad_group_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_group_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_string", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats_tmp", "model.google_ads_source.stg_google_ads__ad_group_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_group_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats_tmp\"\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    ad_network_type\n    \n as \n    \n    ad_network_type\n    \n, \n    \n    \n    campaign_id\n    \n as \n    \n    campaign_id\n    \n, \n    \n    \n    clicks\n    \n as \n    \n    clicks\n    \n, \n    \n    \n    cost_micros\n    \n as \n    \n    cost_micros\n    \n, \n    \n    \n    customer_id\n    \n as \n    \n    customer_id\n    \n, \n    \n    \n    date\n    \n as \n    \n    date\n    \n, \n    \n    \n    device\n    \n as \n    \n    device\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    impressions\n    \n as \n    \n    impressions\n    \n\n\n\n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation,\n        customer_id as account_id, \n        date as date_day, \n        cast(id as TEXT) as ad_group_id, \n        campaign_id, \n        device,\n        ad_network_type,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__account_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__account_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__account_stats.sql", "original_file_path": "models/stg_google_ads__account_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_stats", "fqn": ["google_ads_source", "stg_google_ads__account_stats"], "alias": "stg_google_ads__account_stats", "checksum": {"name": "sha256", "checksum": "040ee5c28780a42f12068bb6f76c1323c6f60996d34a25ce8c56049198fb0c5b"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of an account in Google Ads broken down to the ad network and device type.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.8751209, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__account_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__account_stats_tmp')),\n                staging_columns=get_account_stats_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        customer_id as account_id, \n        date as date_day,\n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__account_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__account_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_account_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats_tmp", "model.google_ads_source.stg_google_ads__account_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__account_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats_tmp\"\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    ad_network_type\n    \n as \n    \n    ad_network_type\n    \n, \n    \n    \n    clicks\n    \n as \n    \n    clicks\n    \n, \n    \n    \n    cost_micros\n    \n as \n    \n    cost_micros\n    \n, \n    \n    \n    customer_id\n    \n as \n    \n    customer_id\n    \n, \n    \n    \n    date\n    \n as \n    \n    date\n    \n, \n    \n    \n    device\n    \n as \n    \n    device\n    \n, \n    \n    \n    impressions\n    \n as \n    \n    impressions\n    \n\n\n\n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        customer_id as account_id, \n        date as date_day,\n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_group_history": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_group_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_group_history.sql", "original_file_path": "models/stg_google_ads__ad_group_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_history", "fqn": ["google_ads_source", "stg_google_ads__ad_group_history"], "alias": "stg_google_ads__ad_group_history", "checksum": {"name": "sha256", "checksum": "fcafb02e78df209c9a612dd410917873e4452ab3eeffc76ae4f3cd276a0b7683"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of an ad group in Google Ads.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_type": {"name": "ad_group_type", "description": "The type of the ad group in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_status": {"name": "ad_group_status", "description": "Status of the ad group.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.857428, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_group_history_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_group_history_tmp')),\n                staging_columns=get_ad_group_history_columns()\n            )\n        }}\n        \n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        cast(id as {{ dbt.type_string() }}) as ad_group_id,\n        updated_at,\n        type as ad_group_type, \n        campaign_id, \n        campaign_name, \n        name as ad_group_name, \n        status as ad_group_status,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_group_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_string"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_history_tmp", "model.google_ads_source.stg_google_ads__ad_group_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_group_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history_tmp\"\n\n),\n\nfields as (\n\n    select\n        \n    \n    \n    campaign_id\n    \n as \n    \n    campaign_id\n    \n, \n    \n    \n    campaign_name\n    \n as \n    \n    campaign_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    type\n    \n as \n    \n    type\n    \n, \n    \n    \n    updated_at\n    \n as \n    \n    updated_at\n    \n, \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        cast(id as TEXT) as ad_group_id,\n        updated_at,\n        type as ad_group_type, \n        campaign_id, \n        campaign_name, \n        name as ad_group_name, \n        status as ad_group_status,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_history": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_history.sql", "original_file_path": "models/stg_google_ads__ad_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_history", "fqn": ["google_ads_source", "stg_google_ads__ad_history"], "alias": "stg_google_ads__ad_history", "checksum": {"name": "sha256", "checksum": "5313b6416f1243b34514c726fb8211d92eb30743fa8c9ac950b3c17da4fda3f6"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of an ad in Google Ads.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "display_url": {"name": "display_url", "description": "The display url of the ad that is being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_type": {"name": "ad_type", "description": "The type of the ad in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_status": {"name": "ad_status", "description": "Status of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_final_urls": {"name": "source_final_urls", "description": "The original list of final urls expressed as an array. Please be aware the test used on this field is intended to warn you if you have fields with multiple urls. If you do, the `final_url` field will filter down the urls within the array to just the first. Therefore, this package will only leverage one of possibly many urls within this field array.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "final_url": {"name": "final_url", "description": "The first url in the list of the urls within the `final_urls` source field.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_url": {"name": "base_url", "description": "The base URL of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_host": {"name": "url_host", "description": "The URL host of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_path": {"name": "url_path", "description": "The URL path of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_source": {"name": "utm_source", "description": "The utm_source parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_medium": {"name": "utm_medium", "description": "The utm_medium parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_campaign": {"name": "utm_campaign", "description": "The utm_campaign parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_content": {"name": "utm_content", "description": "The utm_content parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_term": {"name": "utm_term", "description": "The utm_term parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.860746, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_history_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_history_tmp')),\n                staging_columns=get_ad_history_columns()\n            )\n        }}\n        \n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        cast(ad_group_id as {{ dbt.type_string() }}) as ad_group_id, \n        id as ad_id,\n        name as ad_name,\n        updated_at,\n        type as ad_type,\n        status as ad_status,\n        display_url,\n        final_urls as source_final_urls,\n        replace(replace(final_urls, '[', ''),']','') as final_urls,\n        row_number() over (partition by source_relation, id, ad_group_id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n),\n\nfinal_urls as (\n\n    select \n        *,\n        --Extract the first url within the list of urls provided within the final_urls field\n        {{ dbt.split_part(string_text='final_urls', delimiter_text=\"','\", part_number=1) }} as final_url\n\n    from final\n\n),\n\nurl_fields as (\n    select \n        *,\n        {{ dbt.split_part('final_url', \"'?'\", 1) }} as base_url,\n        {{ dbt_utils.get_url_host('final_url') }} as url_host,\n        '/' || {{ dbt_utils.get_url_path('final_url') }} as url_path,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_source') }} as utm_source,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_medium') }} as utm_medium,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_campaign') }} as utm_campaign,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_content') }} as utm_content,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_term') }} as utm_term\n    from final_urls\n)\n\nselect * \nfrom url_fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_string", "macro.dbt.split_part", "macro.dbt_utils.get_url_host", "macro.dbt_utils.get_url_path", "macro.dbt_utils.get_url_parameter"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history_tmp", "model.google_ads_source.stg_google_ads__ad_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history_tmp\"\n),\n\nfields as (\n\n    select\n        \n    \n    \n    ad_group_id\n    \n as \n    \n    ad_group_id\n    \n, \n    \n    \n    display_url\n    \n as \n    \n    display_url\n    \n, \n    \n    \n    final_urls\n    \n as \n    \n    final_urls\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    type\n    \n as \n    \n    type\n    \n, \n    \n    \n    updated_at\n    \n as \n    \n    updated_at\n    \n, \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        cast(ad_group_id as TEXT) as ad_group_id, \n        id as ad_id,\n        name as ad_name,\n        updated_at,\n        type as ad_type,\n        status as ad_status,\n        display_url,\n        final_urls as source_final_urls,\n        replace(replace(final_urls, '[', ''),']','') as final_urls,\n        row_number() over (partition by source_relation, id, ad_group_id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n),\n\nfinal_urls as (\n\n    select \n        *,\n        --Extract the first url within the list of urls provided within the final_urls field\n        \n\n  \n    \n\n    split_part(\n        final_urls,\n        ',',\n        1\n        )\n\n\n  \n\n as final_url\n\n    from final\n\n),\n\nurl_fields as (\n    select \n        *,\n        \n\n  \n    \n\n    split_part(\n        final_url,\n        '?',\n        1\n        )\n\n\n  \n\n as base_url,\n        \n    \n    cast(\n\n  \n    \n\n    split_part(\n        \n\n  \n    \n\n    split_part(\n        \n\n    replace(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'android-app://',\n        ''\n    )\n\n\n,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        '/',\n        1\n        )\n\n\n  \n\n,\n        '?',\n        1\n        )\n\n\n  \n\n as TEXT)\n as url_host,\n        '/' || \n    \n    cast(\n\n  \n    \n\n    split_part(\n        \n\n    right(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        \n\n    length(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n\n    )-coalesce(\n            nullif(\n\n    position(\n        '/' in \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n\n    ), 0),\n            \n\n    position(\n        '?' in \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n\n    ) - 1\n            )\n    ),\n        '?',\n        1\n        )\n\n\n  \n\n as TEXT)\n as url_path,\n        nullif(\n\n  \n    \n\n    split_part(\n        \n\n  \n    \n\n    split_part(\n        final_url,\n        'utm_source=',\n        2\n        )\n\n\n  \n\n,\n        '&',\n        1\n        )\n\n\n  \n\n,'') as utm_source,\n        nullif(\n\n  \n    \n\n    split_part(\n        \n\n  \n    \n\n    split_part(\n        final_url,\n        'utm_medium=',\n        2\n        )\n\n\n  \n\n,\n        '&',\n        1\n        )\n\n\n  \n\n,'') as utm_medium,\n        nullif(\n\n  \n    \n\n    split_part(\n        \n\n  \n    \n\n    split_part(\n        final_url,\n        'utm_campaign=',\n        2\n        )\n\n\n  \n\n,\n        '&',\n        1\n        )\n\n\n  \n\n,'') as utm_campaign,\n        nullif(\n\n  \n    \n\n    split_part(\n        \n\n  \n    \n\n    split_part(\n        final_url,\n        'utm_content=',\n        2\n        )\n\n\n  \n\n,\n        '&',\n        1\n        )\n\n\n  \n\n,'') as utm_content,\n        nullif(\n\n  \n    \n\n    split_part(\n        \n\n  \n    \n\n    split_part(\n        final_url,\n        'utm_term=',\n        2\n        )\n\n\n  \n\n,\n        '&',\n        1\n        )\n\n\n  \n\n,'') as utm_term\n    from final_urls\n)\n\nselect * \nfrom url_fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__keyword_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__keyword_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__keyword_stats.sql", "original_file_path": "models/stg_google_ads__keyword_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__keyword_stats", "fqn": ["google_ads_source", "stg_google_ads__keyword_stats"], "alias": "stg_google_ads__keyword_stats", "checksum": {"name": "sha256", "checksum": "32ddfd06d20089db692405f7361d5d11c97a05a971db992a17a8ca044ec47817"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of a keyword in Google Ads.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_id": {"name": "keyword_id", "description": "The unique ID of the keyword record.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "criterion_id": {"name": "criterion_id", "description": "Reference to the ad group criterion used for the keyword.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.873495, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__keyword_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__keyword_stats_tmp')),\n                staging_columns=get_keyword_stats_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        _fivetran_id as keyword_id,\n        customer_id as account_id, \n        date as date_day, \n        cast(ad_group_id as {{ dbt.type_string() }}) as ad_group_id,\n        ad_group_criterion_criterion_id as criterion_id,\n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__keyword_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__keyword_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_keyword_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_string", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats_tmp", "model.google_ads_source.stg_google_ads__keyword_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__keyword_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats_tmp\"\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    ad_group_criterion_criterion_id\n    \n as \n    \n    ad_group_criterion_criterion_id\n    \n, \n    \n    \n    ad_group_id\n    \n as \n    \n    ad_group_id\n    \n, \n    \n    \n    ad_network_type\n    \n as \n    \n    ad_network_type\n    \n, \n    \n    \n    campaign_id\n    \n as \n    \n    campaign_id\n    \n, \n    \n    \n    clicks\n    \n as \n    \n    clicks\n    \n, \n    \n    \n    cost_micros\n    \n as \n    \n    cost_micros\n    \n, \n    \n    \n    customer_id\n    \n as \n    \n    customer_id\n    \n, \n    \n    \n    date\n    \n as \n    \n    date\n    \n, \n    \n    \n    device\n    \n as \n    \n    device\n    \n, \n    \n    \n    impressions\n    \n as \n    \n    impressions\n    \n\n\n\n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        _fivetran_id as keyword_id,\n        customer_id as account_id, \n        date as date_day, \n        cast(ad_group_id as TEXT) as ad_group_id,\n        ad_group_criterion_criterion_id as criterion_id,\n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_stats.sql", "original_file_path": "models/stg_google_ads__ad_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_stats", "fqn": ["google_ads_source", "stg_google_ads__ad_stats"], "alias": "stg_google_ads__ad_stats", "checksum": {"name": "sha256", "checksum": "ba43b12d7db3a376b4f24dfb1621661ea4d29ff19dade58f96feff13e43823e4"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of an ad in Google Ads broken down to the ad network, device type, and ad_group_id.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_ad_group_criterion": {"name": "keyword_ad_group_criterion", "description": "The ad group which the keyword criterion resides.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.863101, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_stats_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_stats_tmp')),\n                staging_columns=get_ad_stats_columns()\n            )\n        }}\n        \n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        customer_id as account_id, \n        date as date_day, \n        {% if target.type in ('spark','databricks') %}\n        coalesce(cast(ad_group_id as {{ dbt.type_string() }}), split(ad_group,'adGroups/')[1]) as ad_group_id,\n        {% else %}\n        coalesce(cast(ad_group_id as {{ dbt.type_string() }}), {{ dbt.split_part(string_text='ad_group', delimiter_text=\"'adGroups/'\", part_number=2) }}) as ad_group_id,\n        {% endif %}\n        keyword_ad_group_criterion,\n        ad_network_type,\n        device,\n        ad_id, \n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__ad_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect * from final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_string", "macro.dbt.split_part", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats_tmp", "model.google_ads_source.stg_google_ads__ad_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats_tmp\"\n\n),\n\nfields as (\n\n    select\n        \n    \n    \n    ad_group\n    \n as \n    \n    ad_group\n    \n, \n    \n    \n    ad_group_id\n    \n as \n    \n    ad_group_id\n    \n, \n    \n    \n    ad_id\n    \n as \n    \n    ad_id\n    \n, \n    \n    \n    ad_network_type\n    \n as \n    \n    ad_network_type\n    \n, \n    \n    \n    campaign_id\n    \n as \n    \n    campaign_id\n    \n, \n    \n    \n    clicks\n    \n as \n    \n    clicks\n    \n, \n    \n    \n    cost_micros\n    \n as \n    \n    cost_micros\n    \n, \n    \n    \n    customer_id\n    \n as \n    \n    customer_id\n    \n, \n    \n    \n    date\n    \n as \n    \n    date\n    \n, \n    \n    \n    device\n    \n as \n    \n    device\n    \n, \n    \n    \n    impressions\n    \n as \n    \n    impressions\n    \n, \n    \n    \n    keyword_ad_group_criterion\n    \n as \n    \n    keyword_ad_group_criterion\n    \n\n\n\n        \n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        customer_id as account_id, \n        date as date_day, \n        \n        coalesce(cast(ad_group_id as TEXT), \n\n  \n    \n\n    split_part(\n        ad_group,\n        'adGroups/',\n        2\n        )\n\n\n  \n\n) as ad_group_id,\n        \n        keyword_ad_group_criterion,\n        ad_network_type,\n        device,\n        ad_id, \n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect * from final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_group_criterion_history": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_group_criterion_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_group_criterion_history.sql", "original_file_path": "models/stg_google_ads__ad_group_criterion_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_criterion_history", "fqn": ["google_ads_source", "stg_google_ads__ad_group_criterion_history"], "alias": "stg_google_ads__ad_group_criterion_history", "checksum": {"name": "sha256", "checksum": "6f52de4d9c75239528727d3b83277cfe3d2ae624f85f7d51acc6e9d76058e81d"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a historical version of an ad group criterion in Google Ads.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "criterion_id": {"name": "criterion_id", "description": "Unique identifier of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_campaign_id": {"name": "base_campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The current status of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_match_type": {"name": "keyword_match_type", "description": "The match type which dictate how closely the keyword needs to match with the user\u2019s search query so that the ad can be considered for the auction.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_text": {"name": "keyword_text", "description": "The text used within the keyword criterion that is being matched against.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.867635, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_criterion_history\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_group_criterion_history_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_group_criterion_history_tmp')),\n                staging_columns=get_ad_group_criterion_history_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        id as criterion_id,\n        cast(ad_group_id as {{ dbt.type_string() }}) as ad_group_id,\n        base_campaign_id,\n        updated_at,\n        type,\n        status,\n        keyword_match_type,\n        keyword_text,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_criterion_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_criterion_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_group_criterion_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_string"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp", "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_group_criterion_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_criterion_history_tmp\"\n),\n\nfields as (\n\n    select\n        \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    ad_group_id\n    \n as \n    \n    ad_group_id\n    \n, \n    \n    \n    base_campaign_id\n    \n as \n    \n    base_campaign_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    updated_at\n    \n as \n    \n    updated_at\n    \n, \n    \n    \n    type\n    \n as \n    \n    type\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    keyword_match_type\n    \n as \n    \n    keyword_match_type\n    \n, \n    \n    \n    keyword_text\n    \n as \n    \n    keyword_text\n    \n, \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        id as criterion_id,\n        cast(ad_group_id as TEXT) as ad_group_id,\n        base_campaign_id,\n        updated_at,\n        type,\n        status,\n        keyword_match_type,\n        keyword_text,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__campaign_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__campaign_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__campaign_stats.sql", "original_file_path": "models/stg_google_ads__campaign_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_stats", "fqn": ["google_ads_source", "stg_google_ads__campaign_stats"], "alias": "stg_google_ads__campaign_stats", "checksum": {"name": "sha256", "checksum": "b592c2ded5cdc80a470937a414eec99ad62c26a76e5ecddc64b31b77ede7a206"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of a campaign in Google Ads broken down to the ad network and device type.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.871459, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__campaign_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__campaign_stats_tmp')),\n                staging_columns=get_campaign_stats_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        customer_id as account_id, \n        date as date_day, \n        id as campaign_id, \n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__campaign_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__campaign_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_campaign_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats_tmp", "model.google_ads_source.stg_google_ads__campaign_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__campaign_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats_tmp\"\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    ad_network_type\n    \n as \n    \n    ad_network_type\n    \n, \n    \n    \n    clicks\n    \n as \n    \n    clicks\n    \n, \n    \n    \n    cost_micros\n    \n as \n    \n    cost_micros\n    \n, \n    \n    \n    customer_id\n    \n as \n    \n    customer_id\n    \n, \n    \n    \n    date\n    \n as \n    \n    date\n    \n, \n    \n    \n    device\n    \n as \n    \n    device\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    impressions\n    \n as \n    \n    impressions\n    \n\n\n\n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        customer_id as account_id, \n        date as date_day, \n        id as campaign_id, \n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__campaign_history": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__campaign_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__campaign_history.sql", "original_file_path": "models/stg_google_ads__campaign_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_history", "fqn": ["google_ads_source", "stg_google_ads__campaign_history"], "alias": "stg_google_ads__campaign_history", "checksum": {"name": "sha256", "checksum": "d46649f5c27047aa1e33e81154c92f77835c18d889d3db874355a67c1eb42359"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of a campaign in Google Ads.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_type": {"name": "advertising_channel_type", "description": "The type of advertising channel being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_subtype": {"name": "advertising_channel_subtype", "description": "The advertising channel subtype that is being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "start_date": {"name": "start_date", "description": "The start date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "end_date": {"name": "end_date", "description": "The end date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "serving_status": {"name": "serving_status", "description": "Status of the ads and how they are currently being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "General status of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "tracking_url_template": {"name": "tracking_url_template", "description": "The tracking url template being used throughout the campaign ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.8655958, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__campaign_history_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__campaign_history_tmp')),\n                staging_columns=get_campaign_history_columns()\n            )\n        }}\n        \n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        id as campaign_id, \n        updated_at,\n        name as campaign_name,\n        customer_id as account_id,\n        advertising_channel_type,\n        advertising_channel_subtype,\n        start_date,\n        end_date,\n        serving_status,\n        status,\n        tracking_url_template,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_campaign_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_history_tmp", "model.google_ads_source.stg_google_ads__campaign_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__campaign_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history_tmp\"\n\n),\n\nfields as (\n\n    select\n        \n    \n    \n    advertising_channel_subtype\n    \n as \n    \n    advertising_channel_subtype\n    \n, \n    \n    \n    advertising_channel_type\n    \n as \n    \n    advertising_channel_type\n    \n, \n    \n    \n    customer_id\n    \n as \n    \n    customer_id\n    \n, \n    \n    \n    end_date\n    \n as \n    \n    end_date\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    serving_status\n    \n as \n    \n    serving_status\n    \n, \n    \n    \n    start_date\n    \n as \n    \n    start_date\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    tracking_url_template\n    \n as \n    \n    tracking_url_template\n    \n, \n    \n    \n    updated_at\n    \n as \n    \n    updated_at\n    \n, \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        id as campaign_id, \n        updated_at,\n        name as campaign_name,\n        customer_id as account_id,\n        advertising_channel_type,\n        advertising_channel_subtype,\n        start_date,\n        end_date,\n        serving_status,\n        status,\n        tracking_url_template,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__account_history": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__account_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__account_history.sql", "original_file_path": "models/stg_google_ads__account_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_history", "fqn": ["google_ads_source", "stg_google_ads__account_history"], "alias": "stg_google_ads__account_history", "checksum": {"name": "sha256", "checksum": "851559735dd5553d76ec6b4ec596719d9f1ee1ed47042df4d861d15bb64ca96e"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of an account in Google Ads.", "columns": {"source_relation": {"name": "source_relation", "description": "The source of the record if the unioning functionality is being used. If not this field will be empty.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The ID of the Account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency of the spend reported.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_tagging_enabled": {"name": "auto_tagging_enabled", "description": "Boolean indicating if auto tagging is enabled on the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The time zone of the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when a record was last synced.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1693595969.855308, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__account_history_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__account_history_tmp')),\n                staging_columns=get_account_history_columns()\n            )\n        }}\n        \n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='google_ads_union_schemas', \n            union_database_variable='google_ads_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        id as account_id,\n        updated_at,\n        currency_code,\n        auto_tagging_enabled,\n        time_zone,\n        descriptive_name as account_name,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__account_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__account_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_account_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.google_ads_source.stg_google_ads__account_history_tmp", "model.google_ads_source.stg_google_ads__account_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__account_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history_tmp\"\n\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    auto_tagging_enabled\n    \n as \n    \n    auto_tagging_enabled\n    \n, \n    \n    \n    currency_code\n    \n as \n    \n    currency_code\n    \n, \n    \n    \n    descriptive_name\n    \n as \n    \n    descriptive_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    time_zone\n    \n as \n    \n    time_zone\n    \n, \n    \n    \n    updated_at\n    \n as \n    \n    updated_at\n    \n, \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    \n        \n\n\n, cast('' as TEXT) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n\n    select\n        source_relation, \n        id as account_id,\n        updated_at,\n        currency_code,\n        auto_tagging_enabled,\n        time_zone,\n        descriptive_name as account_name,\n        row_number() over (partition by source_relation, id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__account_stats_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__account_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__account_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__account_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__account_stats_tmp"], "alias": "stg_google_ads__account_stats_tmp", "checksum": {"name": "sha256", "checksum": "1f9ff5cdd5be747395f11bca1c9e253dc160be247192bdfe6374f627850c1917"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.686442, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='account_stats', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='account_stats_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "account_stats"], ["google_ads", "account_stats"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.account_stats", "source.google_ads_source.google_ads.account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__account_stats_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"account_stats_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_group_history_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_group_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_group_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_group_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_group_history_tmp"], "alias": "stg_google_ads__ad_group_history_tmp", "checksum": {"name": "sha256", "checksum": "efd298ff4d0b4c233093d66bb04221422fe5783e17bfe134b0e632aab8ee6020"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.70568, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='ad_group_history', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='ad_group_history_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_group_history"], ["google_ads", "ad_group_history"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.ad_group_history", "source.google_ads_source.google_ads.ad_group_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_group_history_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"ad_group_history_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__campaign_stats_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__campaign_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__campaign_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__campaign_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__campaign_stats_tmp"], "alias": "stg_google_ads__campaign_stats_tmp", "checksum": {"name": "sha256", "checksum": "5f02d8f40caf5b87107de06bab722818ec6d82b5f85ad58a0c1b77445aa64b73"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.710474, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='campaign_stats', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='campaign_stats_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "campaign_stats"], ["google_ads", "campaign_stats"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.campaign_stats", "source.google_ads_source.google_ads.campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__campaign_stats_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"campaign_stats_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_stats_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_stats_tmp"], "alias": "stg_google_ads__ad_stats_tmp", "checksum": {"name": "sha256", "checksum": "bc6cf46dbf1ae79028d6329f07c180efae3fa2e9670f1c5cb989e54966d7d0c7"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.715637, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='ad_stats', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='ad_stats_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_stats"], ["google_ads", "ad_stats"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.ad_stats", "source.google_ads_source.google_ads.ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_stats_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"ad_stats_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__campaign_history_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__campaign_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__campaign_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__campaign_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__campaign_history_tmp"], "alias": "stg_google_ads__campaign_history_tmp", "checksum": {"name": "sha256", "checksum": "4bd672b830908c4dc82b7b82b12faaa7641d0538aa86ea597c1c21923620bd5c"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.720326, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='campaign_history', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='campaign_history_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "campaign_history"], ["google_ads", "campaign_history"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.campaign_history", "source.google_ads_source.google_ads.campaign_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__campaign_history_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"campaign_history_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_group_criterion_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_group_criterion_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_group_criterion_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_group_criterion_history_tmp"], "alias": "stg_google_ads__ad_group_criterion_history_tmp", "checksum": {"name": "sha256", "checksum": "7020308c7190e934701cb74eb6863f3a9f82e2e4e88e2d9585e01cc784a8b1ec"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.724967, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_criterion_history_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='ad_group_criterion_history', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='ad_group_criterion_history_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_group_criterion_history"], ["google_ads", "ad_group_criterion_history"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.ad_group_criterion_history", "source.google_ads_source.google_ads.ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_group_criterion_history_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"ad_group_criterion_history_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_group_stats_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_group_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_group_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_group_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_group_stats_tmp"], "alias": "stg_google_ads__ad_group_stats_tmp", "checksum": {"name": "sha256", "checksum": "c2b1669f1d85d9adabf3d4580deb5a7c94f7c8c2aa11121b5f8a2397279fb529"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.729601, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='ad_group_stats', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='ad_group_stats_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_group_stats"], ["google_ads", "ad_group_stats"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.ad_group_stats", "source.google_ads_source.google_ads.ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_group_stats_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"ad_group_stats_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__keyword_stats_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__keyword_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__keyword_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__keyword_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__keyword_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__keyword_stats_tmp"], "alias": "stg_google_ads__keyword_stats_tmp", "checksum": {"name": "sha256", "checksum": "044e1a30627eee4da267f4ca75addf9606002d9b242c53f1ac39e341e528537c"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.734775, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='keyword_stats', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='keyword_stats_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "keyword_stats"], ["google_ads", "keyword_stats"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.keyword_stats", "source.google_ads_source.google_ads.keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__keyword_stats_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"keyword_stats_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__ad_history_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__ad_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_history_tmp"], "alias": "stg_google_ads__ad_history_tmp", "checksum": {"name": "sha256", "checksum": "4d0e03191846c0466cc62a6385ac2d4e60cf91cc3cedeaf59250c681c876ef5b"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.758847, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='ad_history', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='ad_history_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_history"], ["google_ads", "ad_history"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.ad_history", "source.google_ads_source.google_ads.ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_history_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"ad_history_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.google_ads_source.stg_google_ads__account_history_tmp": {"database": "postgres", "schema": "google_ads_integration_tests_31_google_ads_source", "name": "stg_google_ads__account_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__account_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__account_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__account_history_tmp"], "alias": "stg_google_ads__account_history_tmp", "checksum": {"name": "sha256", "checksum": "582d675238451976cc903c4e5bb67f5a55bf50641d69ee0e31b5c6167dad4752"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1693595969.763556, "relation_name": "\"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history_tmp\"", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\n{{\n    fivetran_utils.union_data(\n        table_identifier='account_history', \n        database_variable='google_ads_database', \n        schema_variable='google_ads_schema', \n        default_database=target.database,\n        default_schema='google_ads',\n        default_variable='account_history_source',\n        union_schema_variable='google_ads_union_schemas',\n        union_database_variable='google_ads_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["google_ads", "account_history"], ["google_ads", "account_history"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.google_ads_source.google_ads.account_history", "source.google_ads_source.google_ads.account_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__account_history_tmp.sql", "compiled": true, "compiled_code": "\n\n\n    \n    \n        \n        \n        \n        select * \n    from \"postgres\".\"google_ads_integration_tests_31\".\"account_history_data\"", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "test.google_ads.not_null_google_ads__url_report_base_url.e3578c0f72": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "base_url", "model": "{{ get_where_subquery(ref('google_ads__url_report')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_google_ads__url_report_base_url", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__url_report_base_url.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__url_report_base_url.e3578c0f72", "fqn": ["google_ads", "not_null_google_ads__url_report_base_url"], "alias": "not_null_google_ads__url_report_base_url", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"enabled": true}, "created_at": 1693595969.81675, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(enabled=True) }}", "language": "sql", "refs": [{"name": "google_ads__url_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__url_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__url_report_base_url.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect base_url\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__url_report\"\nwhere base_url is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "base_url", "file_key_name": "models.google_ads__url_report", "attached_node": "model.google_ads.google_ads__url_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__url_report_source_relation__ad_id__ad_group_id__date_day.e11b928273": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_id", "ad_group_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__url_report')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__url_report_source_relation__ad_id__ad_group_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_31793819eb318c7cfed9606488870cc7.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__url_report_source_relation__ad_id__ad_group_id__date_day.e11b928273", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__url_report_source_relation__ad_id__ad_group_id__date_day"], "alias": "dbt_utils_unique_combination_o_31793819eb318c7cfed9606488870cc7", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_31793819eb318c7cfed9606488870cc7", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_31793819eb318c7cfed9606488870cc7"}, "created_at": 1693595969.818592, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(enabled=True,alias=\"dbt_utils_unique_combination_o_31793819eb318c7cfed9606488870cc7\") }}", "language": "sql", "refs": [{"name": "google_ads__url_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__url_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_31793819eb318c7cfed9606488870cc7.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_id, ad_group_id, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__url_report\"\n    group by source_relation, ad_id, ad_group_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__url_report", "attached_node": "model.google_ads.google_ads__url_report"}, "test.google_ads.not_null_google_ads__account_report_account_id.abb0985422": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "account_id", "model": "{{ get_where_subquery(ref('google_ads__account_report')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_google_ads__account_report_account_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__account_report_account_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__account_report_account_id.abb0985422", "fqn": ["google_ads", "not_null_google_ads__account_report_account_id"], "alias": "not_null_google_ads__account_report_account_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.826449, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__account_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__account_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__account_report_account_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect account_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__account_report\"\nwhere account_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "account_id", "file_key_name": "models.google_ads__account_report", "attached_node": "model.google_ads.google_ads__account_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__account_report_source_relation__account_id__date_day.8480aa9317": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "account_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__account_report')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__account_report_source_relation__account_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_4d9f02d60b58ed8cc9cb947e8d47375c.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__account_report_source_relation__account_id__date_day.8480aa9317", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__account_report_source_relation__account_id__date_day"], "alias": "dbt_utils_unique_combination_o_4d9f02d60b58ed8cc9cb947e8d47375c", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_4d9f02d60b58ed8cc9cb947e8d47375c", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_4d9f02d60b58ed8cc9cb947e8d47375c"}, "created_at": 1693595969.827892, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_4d9f02d60b58ed8cc9cb947e8d47375c\") }}", "language": "sql", "refs": [{"name": "google_ads__account_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__account_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_4d9f02d60b58ed8cc9cb947e8d47375c.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, account_id, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__account_report\"\n    group by source_relation, account_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__account_report", "attached_node": "model.google_ads.google_ads__account_report"}, "test.google_ads.not_null_google_ads__ad_group_report_ad_group_id.c186523c0c": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_group_id", "model": "{{ get_where_subquery(ref('google_ads__ad_group_report')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_google_ads__ad_group_report_ad_group_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__ad_group_report_ad_group_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__ad_group_report_ad_group_id.c186523c0c", "fqn": ["google_ads", "not_null_google_ads__ad_group_report_ad_group_id"], "alias": "not_null_google_ads__ad_group_report_ad_group_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.831346, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__ad_group_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_group_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__ad_group_report_ad_group_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_group_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__ad_group_report\"\nwhere ad_group_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_group_id", "file_key_name": "models.google_ads__ad_group_report", "attached_node": "model.google_ads.google_ads__ad_group_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_source_relation__ad_group_id__date_day.41d73a32f3": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_group_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__ad_group_report')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_source_relation__ad_group_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_63eb2f3505db2b25be3a7df012a86231.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_source_relation__ad_group_id__date_day.41d73a32f3", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_source_relation__ad_group_id__date_day"], "alias": "dbt_utils_unique_combination_o_63eb2f3505db2b25be3a7df012a86231", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_63eb2f3505db2b25be3a7df012a86231", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_63eb2f3505db2b25be3a7df012a86231"}, "created_at": 1693595969.8326669, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_63eb2f3505db2b25be3a7df012a86231\") }}", "language": "sql", "refs": [{"name": "google_ads__ad_group_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_group_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_63eb2f3505db2b25be3a7df012a86231.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_group_id, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__ad_group_report\"\n    group by source_relation, ad_group_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__ad_group_report", "attached_node": "model.google_ads.google_ads__ad_group_report"}, "test.google_ads.not_null_google_ads__ad_report_ad_id.7bd6a287ad": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_id", "model": "{{ get_where_subquery(ref('google_ads__ad_report')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_google_ads__ad_report_ad_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__ad_report_ad_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__ad_report_ad_id.7bd6a287ad", "fqn": ["google_ads", "not_null_google_ads__ad_report_ad_id"], "alias": "not_null_google_ads__ad_report_ad_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.835876, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__ad_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__ad_report_ad_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__ad_report\"\nwhere ad_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_id", "file_key_name": "models.google_ads__ad_report", "attached_node": "model.google_ads.google_ads__ad_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_report_source_relation__ad_id__ad_group_id__date_day.0e82f7e99a": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_id", "ad_group_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__ad_report')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__ad_report_source_relation__ad_id__ad_group_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_31f4b2d0e507ccb9dcb70185c67648ae.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_report_source_relation__ad_id__ad_group_id__date_day.0e82f7e99a", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__ad_report_source_relation__ad_id__ad_group_id__date_day"], "alias": "dbt_utils_unique_combination_o_31f4b2d0e507ccb9dcb70185c67648ae", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_31f4b2d0e507ccb9dcb70185c67648ae", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_31f4b2d0e507ccb9dcb70185c67648ae"}, "created_at": 1693595969.83719, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_31f4b2d0e507ccb9dcb70185c67648ae\") }}", "language": "sql", "refs": [{"name": "google_ads__ad_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_31f4b2d0e507ccb9dcb70185c67648ae.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_id, ad_group_id, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__ad_report\"\n    group by source_relation, ad_id, ad_group_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__ad_report", "attached_node": "model.google_ads.google_ads__ad_report"}, "test.google_ads.not_null_google_ads__campaign_report_campaign_id.cc6694fa0e": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "campaign_id", "model": "{{ get_where_subquery(ref('google_ads__campaign_report')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_google_ads__campaign_report_campaign_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__campaign_report_campaign_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__campaign_report_campaign_id.cc6694fa0e", "fqn": ["google_ads", "not_null_google_ads__campaign_report_campaign_id"], "alias": "not_null_google_ads__campaign_report_campaign_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.840535, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__campaign_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__campaign_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__campaign_report_campaign_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect campaign_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__campaign_report\"\nwhere campaign_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "campaign_id", "file_key_name": "models.google_ads__campaign_report", "attached_node": "model.google_ads.google_ads__campaign_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__campaign_report_source_relation__campaign_id__advertising_channel_type__advertising_channel_subtype__date_day.29077cbd5e": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "campaign_id", "advertising_channel_type", "advertising_channel_subtype", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__campaign_report')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__campaign_report_source_relation__campaign_id__advertising_channel_type__advertising_channel_subtype__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_96d8e0cfca4a3e2e0fd48dabfc41ee25.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__campaign_report_source_relation__campaign_id__advertising_channel_type__advertising_channel_subtype__date_day.29077cbd5e", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__campaign_report_source_relation__campaign_id__advertising_channel_type__advertising_channel_subtype__date_day"], "alias": "dbt_utils_unique_combination_o_96d8e0cfca4a3e2e0fd48dabfc41ee25", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_96d8e0cfca4a3e2e0fd48dabfc41ee25", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_96d8e0cfca4a3e2e0fd48dabfc41ee25"}, "created_at": 1693595969.841967, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_96d8e0cfca4a3e2e0fd48dabfc41ee25\") }}", "language": "sql", "refs": [{"name": "google_ads__campaign_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__campaign_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_96d8e0cfca4a3e2e0fd48dabfc41ee25.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, campaign_id, advertising_channel_type, advertising_channel_subtype, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__campaign_report\"\n    group by source_relation, campaign_id, advertising_channel_type, advertising_channel_subtype, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__campaign_report", "attached_node": "model.google_ads.google_ads__campaign_report"}, "test.google_ads.not_null_google_ads__keyword_report_criterion_id.4cab66a055": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "criterion_id", "model": "{{ get_where_subquery(ref('google_ads__keyword_report')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_google_ads__keyword_report_criterion_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__keyword_report_criterion_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__keyword_report_criterion_id.4cab66a055", "fqn": ["google_ads", "not_null_google_ads__keyword_report_criterion_id"], "alias": "not_null_google_ads__keyword_report_criterion_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.845453, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__keyword_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__keyword_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__keyword_report_criterion_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect criterion_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__keyword_report\"\nwhere criterion_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "criterion_id", "file_key_name": "models.google_ads__keyword_report", "attached_node": "model.google_ads.google_ads__keyword_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__keyword_report_source_relation__ad_group_id__criterion_id__date_day.82605f3acd": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_group_id", "criterion_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__keyword_report')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__keyword_report_source_relation__ad_group_id__criterion_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_13601ccbee4da22f839911c976dc105f.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__keyword_report_source_relation__ad_group_id__criterion_id__date_day.82605f3acd", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__keyword_report_source_relation__ad_group_id__criterion_id__date_day"], "alias": "dbt_utils_unique_combination_o_13601ccbee4da22f839911c976dc105f", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_13601ccbee4da22f839911c976dc105f", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_13601ccbee4da22f839911c976dc105f"}, "created_at": 1693595969.846758, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_13601ccbee4da22f839911c976dc105f\") }}", "language": "sql", "refs": [{"name": "google_ads__keyword_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__keyword_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_13601ccbee4da22f839911c976dc105f.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_group_id, criterion_id, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads\".\"google_ads__keyword_report\"\n    group by source_relation, ad_group_id, criterion_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__keyword_report", "attached_node": "model.google_ads.google_ads__keyword_report"}, "test.google_ads_source.not_null_stg_google_ads__account_history_account_id.5ca373f51f": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "account_id", "model": "{{ get_where_subquery(ref('stg_google_ads__account_history')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__account_history_account_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__account_history_account_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__account_history_account_id.5ca373f51f", "fqn": ["google_ads_source", "not_null_stg_google_ads__account_history_account_id"], "alias": "not_null_stg_google_ads__account_history_account_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.875946, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__account_history_account_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect account_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\nwhere account_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "account_id", "file_key_name": "models.stg_google_ads__account_history", "attached_node": "model.google_ads_source.stg_google_ads__account_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_source_relation__account_id__updated_at.0a4d931c44": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "account_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__account_history')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_source_relation__account_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_31e6e54f7527cc244a5cb8a70c16821f.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_source_relation__account_id__updated_at.0a4d931c44", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_source_relation__account_id__updated_at"], "alias": "dbt_utils_unique_combination_o_31e6e54f7527cc244a5cb8a70c16821f", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_31e6e54f7527cc244a5cb8a70c16821f", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_31e6e54f7527cc244a5cb8a70c16821f"}, "created_at": 1693595969.877393, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_31e6e54f7527cc244a5cb8a70c16821f\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_31e6e54f7527cc244a5cb8a70c16821f.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, account_id, updated_at\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_history\"\n    group by source_relation, account_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__account_history", "attached_node": "model.google_ads_source.stg_google_ads__account_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_history_ad_group_id.f6c7c939be": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_group_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_history')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_history_ad_group_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_group_history_ad_group_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_history_ad_group_id.f6c7c939be", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_history_ad_group_id"], "alias": "not_null_stg_google_ads__ad_group_history_ad_group_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.880866, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_group_history_ad_group_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_group_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"\nwhere ad_group_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_group_id", "file_key_name": "models.stg_google_ads__ad_group_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_source_relation__ad_group_id__updated_at.94eb3f93a4": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_group_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_history')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_source_relation__ad_group_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_067aaf35bea7bd5fb30314e43ff18b69.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_source_relation__ad_group_id__updated_at.94eb3f93a4", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_source_relation__ad_group_id__updated_at"], "alias": "dbt_utils_unique_combination_o_067aaf35bea7bd5fb30314e43ff18b69", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_067aaf35bea7bd5fb30314e43ff18b69", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_067aaf35bea7bd5fb30314e43ff18b69"}, "created_at": 1693595969.8821812, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_067aaf35bea7bd5fb30314e43ff18b69\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_067aaf35bea7bd5fb30314e43ff18b69.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_group_id, updated_at\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_history\"\n    group by source_relation, ad_group_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_group_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_history_ad_id.8c23c38248": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_history')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_history_ad_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_history_ad_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_history_ad_id.8c23c38248", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_history_ad_id"], "alias": "not_null_stg_google_ads__ad_history_ad_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.885409, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_history_ad_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history\"\nwhere ad_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_id", "file_key_name": "models.stg_google_ads__ad_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_history"}, "test.google_ads_source.dbt_expectations_expect_column_values_to_not_match_regex_list_stg_google_ads__ad_history_source_final_urls__any___.7dddbd81e7": {"test_metadata": {"name": "expect_column_values_to_not_match_regex_list", "kwargs": {"regex_list": ",", "match_on": "any", "column_name": "source_final_urls", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_history')) }}"}, "namespace": "dbt_expectations"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_expectations_expect_column_values_to_not_match_regex_list_stg_google_ads__ad_history_source_final_urls__any___", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_expectations_expect_column_f02cb56d69a9df1e600b3958899ceaa5.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_expectations_expect_column_values_to_not_match_regex_list_stg_google_ads__ad_history_source_final_urls__any___.7dddbd81e7", "fqn": ["google_ads_source", "dbt_expectations_expect_column_values_to_not_match_regex_list_stg_google_ads__ad_history_source_final_urls__any___"], "alias": "dbt_expectations_expect_column_f02cb56d69a9df1e600b3958899ceaa5", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_expectations_expect_column_f02cb56d69a9df1e600b3958899ceaa5", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "warn", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"severity": "warn", "alias": "dbt_expectations_expect_column_f02cb56d69a9df1e600b3958899ceaa5"}, "created_at": 1693595969.886893, "relation_name": null, "raw_code": "{{ dbt_expectations.test_expect_column_values_to_not_match_regex_list(**_dbt_generic_test_kwargs) }}{{ config(severity=\"warn\",alias=\"dbt_expectations_expect_column_f02cb56d69a9df1e600b3958899ceaa5\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_expectations.test_expect_column_values_to_not_match_regex_list", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_expectations_expect_column_f02cb56d69a9df1e600b3958899ceaa5.sql", "compiled": true, "compiled_code": "\n\n\n\n\n    with grouped_expression as (\n    select\n        \n        \n    \n  \n\n\n\n    \n\ncoalesce(array_length((select regexp_matches(source_final_urls, ',', '')), 1), 0)\n\n\n = 0\n as expression\n\n\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history\"\n    \n\n),\nvalidation_errors as (\n\n    select\n        *\n    from\n        grouped_expression\n    where\n        not(expression = true)\n\n)\n\nselect *\nfrom validation_errors\n\n\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "source_final_urls", "file_key_name": "models.stg_google_ads__ad_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_source_relation__ad_id__ad_group_id__updated_at.edca86664e": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_id", "ad_group_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_history')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_source_relation__ad_id__ad_group_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_4c005e7bd18474717bc35e0b26db0b0b.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_source_relation__ad_id__ad_group_id__updated_at.edca86664e", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_source_relation__ad_id__ad_group_id__updated_at"], "alias": "dbt_utils_unique_combination_o_4c005e7bd18474717bc35e0b26db0b0b", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_4c005e7bd18474717bc35e0b26db0b0b", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_4c005e7bd18474717bc35e0b26db0b0b"}, "created_at": 1693595969.8973818, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_4c005e7bd18474717bc35e0b26db0b0b\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_4c005e7bd18474717bc35e0b26db0b0b.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_id, ad_group_id, updated_at\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_history\"\n    group by source_relation, ad_id, ad_group_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_stats_date_day.9a43c0fce4": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_stats_date_day.9a43c0fce4", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_stats_date_day"], "alias": "not_null_stg_google_ads__ad_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.90078, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats\"\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__ad_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_stats"}, "test.google_ads_source.not_null_stg_google_ads__ad_stats_ad_id.2612d83cc8": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_stats_ad_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_stats_ad_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_stats_ad_id.2612d83cc8", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_stats_ad_id"], "alias": "not_null_stg_google_ads__ad_stats_ad_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.9020789, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_stats_ad_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats\"\nwhere ad_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_id", "file_key_name": "models.stg_google_ads__ad_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_source_relation__ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day.222a7d9413": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_id", "ad_network_type", "device", "ad_group_id", "keyword_ad_group_criterion", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_stats')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_source_relation__ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_f3094c425e91780390549f0d6ae9846c.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_source_relation__ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day.222a7d9413", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_source_relation__ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day"], "alias": "dbt_utils_unique_combination_o_f3094c425e91780390549f0d6ae9846c", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_f3094c425e91780390549f0d6ae9846c", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_f3094c425e91780390549f0d6ae9846c"}, "created_at": 1693595969.903521, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_f3094c425e91780390549f0d6ae9846c\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_f3094c425e91780390549f0d6ae9846c.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_id, ad_network_type, device, ad_group_id, keyword_ad_group_criterion, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_stats\"\n    group by source_relation, ad_id, ad_network_type, device, ad_group_id, keyword_ad_group_criterion, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_stats"}, "test.google_ads_source.not_null_stg_google_ads__campaign_history_campaign_id.fa0c825e75": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "campaign_id", "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_history')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__campaign_history_campaign_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__campaign_history_campaign_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__campaign_history_campaign_id.fa0c825e75", "fqn": ["google_ads_source", "not_null_stg_google_ads__campaign_history_campaign_id"], "alias": "not_null_stg_google_ads__campaign_history_campaign_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.907306, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__campaign_history_campaign_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect campaign_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\nwhere campaign_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "campaign_id", "file_key_name": "models.stg_google_ads__campaign_history", "attached_node": "model.google_ads_source.stg_google_ads__campaign_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_source_relation__campaign_id__updated_at.008fea6b77": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "campaign_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_history')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_source_relation__campaign_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_621a1b868581e76d3d957feb6d72332c.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_source_relation__campaign_id__updated_at.008fea6b77", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_source_relation__campaign_id__updated_at"], "alias": "dbt_utils_unique_combination_o_621a1b868581e76d3d957feb6d72332c", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_621a1b868581e76d3d957feb6d72332c", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_621a1b868581e76d3d957feb6d72332c"}, "created_at": 1693595969.908601, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_621a1b868581e76d3d957feb6d72332c\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_621a1b868581e76d3d957feb6d72332c.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, campaign_id, updated_at\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_history\"\n    group by source_relation, campaign_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__campaign_history", "attached_node": "model.google_ads_source.stg_google_ads__campaign_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_criterion_history_criterion_id.7a0a8b8476": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "criterion_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_criterion_history')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_criterion_history_criterion_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_criterion_history_criterion_id.7a0a8b8476", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_criterion_history_criterion_id"], "alias": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031"}, "created_at": 1693595969.911785, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(alias=\"not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_criterion_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect criterion_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_criterion_history\"\nwhere criterion_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "criterion_id", "file_key_name": "models.stg_google_ads__ad_group_criterion_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_criterion_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_source_relation__criterion_id__ad_group_id__updated_at.8d37dd2fa0": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "criterion_id", "ad_group_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_criterion_history')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_source_relation__criterion_id__ad_group_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_3cabc69e13347735158c8ff9e61f1ab0.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_source_relation__criterion_id__ad_group_id__updated_at.8d37dd2fa0", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_source_relation__criterion_id__ad_group_id__updated_at"], "alias": "dbt_utils_unique_combination_o_3cabc69e13347735158c8ff9e61f1ab0", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_3cabc69e13347735158c8ff9e61f1ab0", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_3cabc69e13347735158c8ff9e61f1ab0"}, "created_at": 1693595969.91309, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_3cabc69e13347735158c8ff9e61f1ab0\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_criterion_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_3cabc69e13347735158c8ff9e61f1ab0.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, criterion_id, ad_group_id, updated_at\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_criterion_history\"\n    group by source_relation, criterion_id, ad_group_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_group_criterion_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_criterion_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_date_day.3c6a221786": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_group_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_date_day.3c6a221786", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_stats_date_day"], "alias": "not_null_stg_google_ads__ad_group_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.9165282, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_group_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats\"\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__ad_group_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_stats"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_ad_group_id.a8d430f077": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_group_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_stats_ad_group_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_group_stats_ad_group_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_ad_group_id.a8d430f077", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_stats_ad_group_id"], "alias": "not_null_stg_google_ads__ad_group_stats_ad_group_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.917835, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_group_stats_ad_group_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_group_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats\"\nwhere ad_group_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_group_id", "file_key_name": "models.stg_google_ads__ad_group_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_source_relation__ad_group_id__device__ad_network_type__date_day.0755df524f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "ad_group_id", "device", "ad_network_type", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_stats')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_source_relation__ad_group_id__device__ad_network_type__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_154e1de1509cc30cc55df003541cbe50.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_source_relation__ad_group_id__device__ad_network_type__date_day.0755df524f", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_source_relation__ad_group_id__device__ad_network_type__date_day"], "alias": "dbt_utils_unique_combination_o_154e1de1509cc30cc55df003541cbe50", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_154e1de1509cc30cc55df003541cbe50", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_154e1de1509cc30cc55df003541cbe50"}, "created_at": 1693595969.919137, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_154e1de1509cc30cc55df003541cbe50\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_154e1de1509cc30cc55df003541cbe50.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, ad_group_id, device, ad_network_type, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__ad_group_stats\"\n    group by source_relation, ad_group_id, device, ad_network_type, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_group_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_stats"}, "test.google_ads_source.not_null_stg_google_ads__campaign_stats_date_day.dc097fd76b": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__campaign_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__campaign_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__campaign_stats_date_day.dc097fd76b", "fqn": ["google_ads_source", "not_null_stg_google_ads__campaign_stats_date_day"], "alias": "not_null_stg_google_ads__campaign_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.922601, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__campaign_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats\"\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__campaign_stats", "attached_node": "model.google_ads_source.stg_google_ads__campaign_stats"}, "test.google_ads_source.not_null_stg_google_ads__campaign_stats_campaign_id.11587fa10f": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "campaign_id", "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__campaign_stats_campaign_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__campaign_stats_campaign_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__campaign_stats_campaign_id.11587fa10f", "fqn": ["google_ads_source", "not_null_stg_google_ads__campaign_stats_campaign_id"], "alias": "not_null_stg_google_ads__campaign_stats_campaign_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.924007, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__campaign_stats_campaign_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect campaign_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats\"\nwhere campaign_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "campaign_id", "file_key_name": "models.stg_google_ads__campaign_stats", "attached_node": "model.google_ads_source.stg_google_ads__campaign_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_source_relation__campaign_id__ad_network_type__device__date_day.fea3ecfe6f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "campaign_id", "ad_network_type", "device", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_stats')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_source_relation__campaign_id__ad_network_type__device__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_dea1c7f4a7dede650459570868e49c91.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_source_relation__campaign_id__ad_network_type__device__date_day.fea3ecfe6f", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_source_relation__campaign_id__ad_network_type__device__date_day"], "alias": "dbt_utils_unique_combination_o_dea1c7f4a7dede650459570868e49c91", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_dea1c7f4a7dede650459570868e49c91", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_dea1c7f4a7dede650459570868e49c91"}, "created_at": 1693595969.9252968, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_dea1c7f4a7dede650459570868e49c91\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_dea1c7f4a7dede650459570868e49c91.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, campaign_id, ad_network_type, device, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__campaign_stats\"\n    group by source_relation, campaign_id, ad_network_type, device, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__campaign_stats", "attached_node": "model.google_ads_source.stg_google_ads__campaign_stats"}, "test.google_ads_source.not_null_stg_google_ads__keyword_stats_date_day.a9da72f74d": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__keyword_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__keyword_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__keyword_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__keyword_stats_date_day.a9da72f74d", "fqn": ["google_ads_source", "not_null_stg_google_ads__keyword_stats_date_day"], "alias": "not_null_stg_google_ads__keyword_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.9287739, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__keyword_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats\"\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__keyword_stats", "attached_node": "model.google_ads_source.stg_google_ads__keyword_stats"}, "test.google_ads_source.not_null_stg_google_ads__keyword_stats_keyword_id.f0945d6cf0": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "keyword_id", "model": "{{ get_where_subquery(ref('stg_google_ads__keyword_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__keyword_stats_keyword_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__keyword_stats_keyword_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__keyword_stats_keyword_id.f0945d6cf0", "fqn": ["google_ads_source", "not_null_stg_google_ads__keyword_stats_keyword_id"], "alias": "not_null_stg_google_ads__keyword_stats_keyword_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.9300559, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__keyword_stats_keyword_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect keyword_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats\"\nwhere keyword_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "keyword_id", "file_key_name": "models.stg_google_ads__keyword_stats", "attached_node": "model.google_ads_source.stg_google_ads__keyword_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_source_relation__keyword_id__date_day.4ecf84a32f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "keyword_id", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__keyword_stats')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_source_relation__keyword_id__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_d8764204cb22c1955f2ac90f55ad2259.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_source_relation__keyword_id__date_day.4ecf84a32f", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_source_relation__keyword_id__date_day"], "alias": "dbt_utils_unique_combination_o_d8764204cb22c1955f2ac90f55ad2259", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_d8764204cb22c1955f2ac90f55ad2259", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_d8764204cb22c1955f2ac90f55ad2259"}, "created_at": 1693595969.931498, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_d8764204cb22c1955f2ac90f55ad2259\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_d8764204cb22c1955f2ac90f55ad2259.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, keyword_id, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__keyword_stats\"\n    group by source_relation, keyword_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__keyword_stats", "attached_node": "model.google_ads_source.stg_google_ads__keyword_stats"}, "test.google_ads_source.not_null_stg_google_ads__account_stats_account_id.2a9da5417b": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "account_id", "model": "{{ get_where_subquery(ref('stg_google_ads__account_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__account_stats_account_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__account_stats_account_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__account_stats_account_id.2a9da5417b", "fqn": ["google_ads_source", "not_null_stg_google_ads__account_stats_account_id"], "alias": "not_null_stg_google_ads__account_stats_account_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.934685, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__account_stats_account_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect account_id\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats\"\nwhere account_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "account_id", "file_key_name": "models.stg_google_ads__account_stats", "attached_node": "model.google_ads_source.stg_google_ads__account_stats"}, "test.google_ads_source.not_null_stg_google_ads__account_stats_date_day.57ac8772d5": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__account_stats')) }}"}, "namespace": null}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "not_null_stg_google_ads__account_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__account_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__account_stats_date_day.57ac8772d5", "fqn": ["google_ads_source", "not_null_stg_google_ads__account_stats_date_day"], "alias": "not_null_stg_google_ads__account_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1693595969.935999, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__account_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats\"\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__account_stats", "attached_node": "model.google_ads_source.stg_google_ads__account_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_source_relation__account_id__device__ad_network_type__date_day.7d4d5e9ce2": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "account_id", "device", "ad_network_type", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__account_stats')) }}"}, "namespace": "dbt_utils"}, "database": "postgres", "schema": "google_ads_integration_tests_31_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_source_relation__account_id__device__ad_network_type__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_eac6a4b83a9b000b437d9f32d485821f.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_source_relation__account_id__device__ad_network_type__date_day.7d4d5e9ce2", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_source_relation__account_id__device__ad_network_type__date_day"], "alias": "dbt_utils_unique_combination_o_eac6a4b83a9b000b437d9f32d485821f", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_eac6a4b83a9b000b437d9f32d485821f", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_eac6a4b83a9b000b437d9f32d485821f"}, "created_at": 1693595969.9372952, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_eac6a4b83a9b000b437d9f32d485821f\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_eac6a4b83a9b000b437d9f32d485821f.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, account_id, device, ad_network_type, date_day\n    from \"postgres\".\"google_ads_integration_tests_31_google_ads_source\".\"stg_google_ads__account_stats\"\n    group by source_relation, account_id, device, ad_network_type, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__account_stats", "attached_node": "model.google_ads_source.stg_google_ads__account_stats"}}, "sources": {"source.google_ads_source.google_ads.ad_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "ad_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_stats", "fqn": ["google_ads_source", "google_ads", "ad_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_stats_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of an ad in Google Ads broken down to the ad network, device type, and ad group criterion.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group": {"name": "ad_group", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_ad_group_criterion": {"name": "keyword_ad_group_criterion", "description": "The ad group which the keyword criterion resides.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"ad_stats_data\"", "created_at": 1693595969.9680798}, "source.google_ads_source.google_ads.ad_history": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "ad_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_history", "fqn": ["google_ads_source", "google_ads", "ad_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_history_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a version of an ad in Google Ads.", "columns": {"ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "display_url": {"name": "display_url", "description": "The display url of the ad that is being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of the ad in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "Status of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "final_urls": {"name": "final_urls", "description": "A list of urls that are used for the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"ad_history_data\"", "created_at": 1693595969.968231}, "source.google_ads_source.google_ads.ad_group_history": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "ad_group_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_group_history", "fqn": ["google_ads_source", "google_ads", "ad_group_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_group_history_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a version of an ad group in Google Ads.", "columns": {"id": {"name": "id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of the ad group in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "Status of the ad group.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"ad_group_history_data\"", "created_at": 1693595969.968364}, "source.google_ads_source.google_ads.campaign_history": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "campaign_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.campaign_history", "fqn": ["google_ads_source", "google_ads", "campaign_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "campaign_history_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a version of a campaign in Google Ads.", "columns": {"id": {"name": "id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_type": {"name": "advertising_channel_type", "description": "The type of advertising channel being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_subtype": {"name": "advertising_channel_subtype", "description": "The advertising channel subtype that is being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "start_date": {"name": "start_date", "description": "The start date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "end_date": {"name": "end_date", "description": "The end date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "serving_status": {"name": "serving_status", "description": "Status of the ads and how they are currently being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "General status of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "tracking_url_template": {"name": "tracking_url_template", "description": "The tracking url template being used throughout the campaign ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"campaign_history_data\"", "created_at": 1693595969.968503}, "source.google_ads_source.google_ads.account_history": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "account_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.account_history", "fqn": ["google_ads_source", "google_ads", "account_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "account_history_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a historical version of an account in Google Ads.", "columns": {"id": {"name": "id", "description": "The ID of the Account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency of the spend reported.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_tagging_enabled": {"name": "auto_tagging_enabled", "description": "Boolean indicating if auto tagging is enabled on the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The time zone of the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "descriptive_name": {"name": "descriptive_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"account_history_data\"", "created_at": 1693595969.968629}, "source.google_ads_source.google_ads.ad_group_criterion_history": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "ad_group_criterion_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_group_criterion_history", "fqn": ["google_ads_source", "google_ads", "ad_group_criterion_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_group_criterion_history_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a historical version of an ad group criterion in Google Ads.", "columns": {"id": {"name": "id", "description": "Unique identifier of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_campaign_id": {"name": "base_campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The current status of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_match_type": {"name": "keyword_match_type", "description": "The match type which dictate how closely the keyword needs to match with the user\u2019s search query so that the ad can be considered for the auction.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_text": {"name": "keyword_text", "description": "The text used within the keyword criterion that is being matched against.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"ad_group_criterion_history_data\"", "created_at": 1693595969.968758}, "source.google_ads_source.google_ads.ad_group_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "ad_group_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_group_stats", "fqn": ["google_ads_source", "google_ads", "ad_group_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_group_stats_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of an ad group in Google Ads broken down to the ad network and device type.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"ad_group_stats_data\"", "created_at": 1693595969.968883}, "source.google_ads_source.google_ads.campaign_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "campaign_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.campaign_stats", "fqn": ["google_ads_source", "google_ads", "campaign_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "campaign_stats_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of a campaign in Google Ads broken down to the ad network and device type.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"campaign_stats_data\"", "created_at": 1693595969.9690082}, "source.google_ads_source.google_ads.keyword_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "keyword_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.keyword_stats", "fqn": ["google_ads_source", "google_ads", "keyword_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "keyword_stats_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of a keyword in Google Ads.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_id": {"name": "_fivetran_id", "description": "The unique ID of the keyword record.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_criterion_criterion_id": {"name": "ad_group_criterion_criterion_id", "description": "Reference to the ad group criterion used for the keyword.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"keyword_stats_data\"", "created_at": 1693595969.969138}, "source.google_ads_source.google_ads.account_stats": {"database": "postgres", "schema": "google_ads_integration_tests_31", "name": "account_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.account_stats", "fqn": ["google_ads_source", "google_ads", "account_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "account_stats_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of an account in Google Ads broken down to the ad network and device type.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "\"postgres\".\"google_ads_integration_tests_31\".\"account_stats_data\"", "created_at": 1693595969.969308}}, "macros": {"macro.dbt_postgres.postgres__current_timestamp": {"name": "postgres__current_timestamp", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/timestamps.sql", "original_file_path": "macros/timestamps.sql", "unique_id": "macro.dbt_postgres.postgres__current_timestamp", "macro_sql": "{% macro postgres__current_timestamp() -%}\n    now()\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.607019, "supported_languages": null}, "macro.dbt_postgres.postgres__snapshot_string_as_time": {"name": "postgres__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/timestamps.sql", "original_file_path": "macros/timestamps.sql", "unique_id": "macro.dbt_postgres.postgres__snapshot_string_as_time", "macro_sql": "{% macro postgres__snapshot_string_as_time(timestamp) -%}\n    {%- set result = \"'\" ~ timestamp ~ \"'::timestamp without time zone\" -%}\n    {{ return(result) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.607252, "supported_languages": null}, "macro.dbt_postgres.postgres__snapshot_get_time": {"name": "postgres__snapshot_get_time", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/timestamps.sql", "original_file_path": "macros/timestamps.sql", "unique_id": "macro.dbt_postgres.postgres__snapshot_get_time", "macro_sql": "{% macro postgres__snapshot_get_time() -%}\n  {{ current_timestamp() }}::timestamp without time zone\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.607371, "supported_languages": null}, "macro.dbt_postgres.postgres__current_timestamp_backcompat": {"name": "postgres__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/timestamps.sql", "original_file_path": "macros/timestamps.sql", "unique_id": "macro.dbt_postgres.postgres__current_timestamp_backcompat", "macro_sql": "{% macro postgres__current_timestamp_backcompat() %}\n    current_timestamp::{{ type_timestamp() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6074848, "supported_languages": null}, "macro.dbt_postgres.postgres__current_timestamp_in_utc_backcompat": {"name": "postgres__current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/timestamps.sql", "original_file_path": "macros/timestamps.sql", "unique_id": "macro.dbt_postgres.postgres__current_timestamp_in_utc_backcompat", "macro_sql": "{% macro postgres__current_timestamp_in_utc_backcompat() %}\n    (current_timestamp at time zone 'utc')::{{ type_timestamp() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.607604, "supported_languages": null}, "macro.dbt_postgres.postgres__get_catalog": {"name": "postgres__get_catalog", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/catalog.sql", "original_file_path": "macros/catalog.sql", "unique_id": "macro.dbt_postgres.postgres__get_catalog", "macro_sql": "{% macro postgres__get_catalog(information_schema, schemas) -%}\n\n  {%- call statement('catalog', fetch_result=True) -%}\n    {#\n      If the user has multiple databases set and the first one is wrong, this will fail.\n      But we won't fail in the case where there are multiple quoting-difference-only dbs, which is better.\n    #}\n    {% set database = information_schema.database %}\n    {{ adapter.verify_database(database) }}\n\n    select\n        '{{ database }}' as table_database,\n        sch.nspname as table_schema,\n        tbl.relname as table_name,\n        case tbl.relkind\n            when 'v' then 'VIEW'\n            else 'BASE TABLE'\n        end as table_type,\n        tbl_desc.description as table_comment,\n        col.attname as column_name,\n        col.attnum as column_index,\n        pg_catalog.format_type(col.atttypid, col.atttypmod) as column_type,\n        col_desc.description as column_comment,\n        pg_get_userbyid(tbl.relowner) as table_owner\n\n    from pg_catalog.pg_namespace sch\n    join pg_catalog.pg_class tbl on tbl.relnamespace = sch.oid\n    join pg_catalog.pg_attribute col on col.attrelid = tbl.oid\n    left outer join pg_catalog.pg_description tbl_desc on (tbl_desc.objoid = tbl.oid and tbl_desc.objsubid = 0)\n    left outer join pg_catalog.pg_description col_desc on (col_desc.objoid = tbl.oid and col_desc.objsubid = col.attnum)\n\n    where (\n        {%- for schema in schemas -%}\n          upper(sch.nspname) = upper('{{ schema }}'){%- if not loop.last %} or {% endif -%}\n        {%- endfor -%}\n      )\n      and not pg_is_other_temp_schema(sch.oid) -- not a temporary schema belonging to another session\n      and tbl.relpersistence in ('p', 'u') -- [p]ermanent table or [u]nlogged table. Exclude [t]emporary tables\n      and tbl.relkind in ('r', 'v', 'f', 'p') -- o[r]dinary table, [v]iew, [f]oreign table, [p]artitioned table. Other values are [i]ndex, [S]equence, [c]omposite type, [t]OAST table, [m]aterialized view\n      and col.attnum > 0 -- negative numbers are used for system columns such as oid\n      and not col.attisdropped -- column as not been dropped\n\n    order by\n        sch.nspname,\n        tbl.relname,\n        col.attnum\n\n  {%- endcall -%}\n\n  {{ return(load_result('catalog').table) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.608716, "supported_languages": null}, "macro.dbt_postgres.postgres_get_relations": {"name": "postgres_get_relations", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/relations.sql", "original_file_path": "macros/relations.sql", "unique_id": "macro.dbt_postgres.postgres_get_relations", "macro_sql": "{% macro postgres_get_relations () -%}\n\n  {#\n      -- in pg_depend, objid is the dependent, refobjid is the referenced object\n      --  > a pg_depend entry indicates that the referenced object cannot be\n      --  > dropped without also dropping the dependent object.\n  #}\n\n  {%- call statement('relations', fetch_result=True) -%}\n    with relation as (\n        select\n            pg_rewrite.ev_class as class,\n            pg_rewrite.oid as id\n        from pg_rewrite\n    ),\n    class as (\n        select\n            oid as id,\n            relname as name,\n            relnamespace as schema,\n            relkind as kind\n        from pg_class\n    ),\n    dependency as (\n        select distinct\n            pg_depend.objid as id,\n            pg_depend.refobjid as ref\n        from pg_depend\n    ),\n    schema as (\n        select\n            pg_namespace.oid as id,\n            pg_namespace.nspname as name\n        from pg_namespace\n        where nspname != 'information_schema' and nspname not like 'pg\\_%'\n    ),\n    referenced as (\n        select\n            relation.id AS id,\n            referenced_class.name ,\n            referenced_class.schema ,\n            referenced_class.kind\n        from relation\n        join class as referenced_class on relation.class=referenced_class.id\n        where referenced_class.kind in ('r', 'v')\n    ),\n    relationships as (\n        select\n            referenced.name as referenced_name,\n            referenced.schema as referenced_schema_id,\n            dependent_class.name as dependent_name,\n            dependent_class.schema as dependent_schema_id,\n            referenced.kind as kind\n        from referenced\n        join dependency on referenced.id=dependency.id\n        join class as dependent_class on dependency.ref=dependent_class.id\n        where\n            (referenced.name != dependent_class.name or\n             referenced.schema != dependent_class.schema)\n    )\n\n    select\n        referenced_schema.name as referenced_schema,\n        relationships.referenced_name as referenced_name,\n        dependent_schema.name as dependent_schema,\n        relationships.dependent_name as dependent_name\n    from relationships\n    join schema as dependent_schema on relationships.dependent_schema_id=dependent_schema.id\n    join schema as referenced_schema on relationships.referenced_schema_id=referenced_schema.id\n    group by referenced_schema, referenced_name, dependent_schema, dependent_name\n    order by referenced_schema, referenced_name, dependent_schema, dependent_name;\n\n  {%- endcall -%}\n\n  {{ return(load_result('relations').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6093729, "supported_languages": null}, "macro.dbt_postgres.postgres__create_table_as": {"name": "postgres__create_table_as", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__create_table_as", "macro_sql": "{% macro postgres__create_table_as(temporary, relation, sql) -%}\n  {%- set unlogged = config.get('unlogged', default=false) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create {% if temporary -%}\n    temporary\n  {%- elif unlogged -%}\n    unlogged\n  {%- endif %} table {{ relation }}\n  {% set contract_config = config.get('contract') %}\n  {% if contract_config.enforced %}\n    {{ get_assert_columns_equivalent(sql) }}\n    {{ get_table_columns_and_constraints() }} ;\n    insert into {{ relation }} (\n      {{ adapter.dispatch('get_column_names', 'dbt')() }}\n    )\n    {%- set sql = get_select_subquery(sql) %}\n  {% else %}\n    as\n  {% endif %}\n  (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.default__get_column_names", "macro.dbt.get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.616957, "supported_languages": null}, "macro.dbt_postgres.postgres__get_create_index_sql": {"name": "postgres__get_create_index_sql", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__get_create_index_sql", "macro_sql": "{% macro postgres__get_create_index_sql(relation, index_dict) -%}\n  {%- set index_config = adapter.parse_index(index_dict) -%}\n  {%- set comma_separated_columns = \", \".join(index_config.columns) -%}\n  {%- set index_name = index_config.render(relation) -%}\n\n  create {% if index_config.unique -%}\n    unique\n  {%- endif %} index if not exists\n  \"{{ index_name }}\"\n  on {{ relation }} {% if index_config.type -%}\n    using {{ index_config.type }}\n  {%- endif %}\n  ({{ comma_separated_columns }});\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.617494, "supported_languages": null}, "macro.dbt_postgres.postgres__create_schema": {"name": "postgres__create_schema", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__create_schema", "macro_sql": "{% macro postgres__create_schema(relation) -%}\n  {% if relation.database -%}\n    {{ adapter.verify_database(relation.database) }}\n  {%- endif -%}\n  {%- call statement('create_schema') -%}\n    create schema if not exists {{ relation.without_identifier().include(database=False) }}\n  {%- endcall -%}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6178298, "supported_languages": null}, "macro.dbt_postgres.postgres__drop_schema": {"name": "postgres__drop_schema", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__drop_schema", "macro_sql": "{% macro postgres__drop_schema(relation) -%}\n  {% if relation.database -%}\n    {{ adapter.verify_database(relation.database) }}\n  {%- endif -%}\n  {%- call statement('drop_schema') -%}\n    drop schema if exists {{ relation.without_identifier().include(database=False) }} cascade\n  {%- endcall -%}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.618158, "supported_languages": null}, "macro.dbt_postgres.postgres__get_columns_in_relation": {"name": "postgres__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__get_columns_in_relation", "macro_sql": "{% macro postgres__get_columns_in_relation(relation) -%}\n  {% call statement('get_columns_in_relation', fetch_result=True) %}\n      select\n          column_name,\n          data_type,\n          character_maximum_length,\n          numeric_precision,\n          numeric_scale\n\n      from {{ relation.information_schema('columns') }}\n      where table_name = '{{ relation.identifier }}'\n        {% if relation.schema %}\n        and table_schema = '{{ relation.schema }}'\n        {% endif %}\n      order by ordinal_position\n\n  {% endcall %}\n  {% set table = load_result('get_columns_in_relation').table %}\n  {{ return(sql_convert_columns_in_relation(table)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.sql_convert_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.618645, "supported_languages": null}, "macro.dbt_postgres.postgres__list_relations_without_caching": {"name": "postgres__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__list_relations_without_caching", "macro_sql": "{% macro postgres__list_relations_without_caching(schema_relation) %}\n  {% call statement('list_relations_without_caching', fetch_result=True) -%}\n    select\n      '{{ schema_relation.database }}' as database,\n      tablename as name,\n      schemaname as schema,\n      'table' as type\n    from pg_tables\n    where schemaname ilike '{{ schema_relation.schema }}'\n    union all\n    select\n      '{{ schema_relation.database }}' as database,\n      viewname as name,\n      schemaname as schema,\n      'view' as type\n    from pg_views\n    where schemaname ilike '{{ schema_relation.schema }}'\n  {% endcall %}\n  {{ return(load_result('list_relations_without_caching').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.619034, "supported_languages": null}, "macro.dbt_postgres.postgres__information_schema_name": {"name": "postgres__information_schema_name", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__information_schema_name", "macro_sql": "{% macro postgres__information_schema_name(database) -%}\n  {% if database_name -%}\n    {{ adapter.verify_database(database_name) }}\n  {%- endif -%}\n  information_schema\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.619214, "supported_languages": null}, "macro.dbt_postgres.postgres__list_schemas": {"name": "postgres__list_schemas", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__list_schemas", "macro_sql": "{% macro postgres__list_schemas(database) %}\n  {% if database -%}\n    {{ adapter.verify_database(database) }}\n  {%- endif -%}\n  {% call statement('list_schemas', fetch_result=True, auto_begin=False) %}\n    select distinct nspname from pg_namespace\n  {% endcall %}\n  {{ return(load_result('list_schemas').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6195688, "supported_languages": null}, "macro.dbt_postgres.postgres__check_schema_exists": {"name": "postgres__check_schema_exists", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__check_schema_exists", "macro_sql": "{% macro postgres__check_schema_exists(information_schema, schema) -%}\n  {% if information_schema.database -%}\n    {{ adapter.verify_database(information_schema.database) }}\n  {%- endif -%}\n  {% call statement('check_schema_exists', fetch_result=True, auto_begin=False) %}\n    select count(*) from pg_namespace where nspname = '{{ schema }}'\n  {% endcall %}\n  {{ return(load_result('check_schema_exists').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6199648, "supported_languages": null}, "macro.dbt_postgres.postgres__make_relation_with_suffix": {"name": "postgres__make_relation_with_suffix", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__make_relation_with_suffix", "macro_sql": "{% macro postgres__make_relation_with_suffix(base_relation, suffix, dstring) %}\n    {% if dstring %}\n      {% set dt = modules.datetime.datetime.now() %}\n      {% set dtstring = dt.strftime(\"%H%M%S%f\") %}\n      {% set suffix = suffix ~ dtstring %}\n    {% endif %}\n    {% set suffix_length = suffix|length %}\n    {% set relation_max_name_length = base_relation.relation_max_name_length() %}\n    {% if suffix_length > relation_max_name_length %}\n        {% do exceptions.raise_compiler_error('Relation suffix is too long (' ~ suffix_length ~ ' characters). Maximum length is ' ~ relation_max_name_length ~ ' characters.') %}\n    {% endif %}\n    {% set identifier = base_relation.identifier[:relation_max_name_length - suffix_length] ~ suffix %}\n\n    {{ return(base_relation.incorporate(path={\"identifier\": identifier })) }}\n\n  {% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6208398, "supported_languages": null}, "macro.dbt_postgres.postgres__make_intermediate_relation": {"name": "postgres__make_intermediate_relation", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__make_intermediate_relation", "macro_sql": "{% macro postgres__make_intermediate_relation(base_relation, suffix) %}\n    {{ return(postgres__make_relation_with_suffix(base_relation, suffix, dstring=False)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__make_relation_with_suffix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.621044, "supported_languages": null}, "macro.dbt_postgres.postgres__make_temp_relation": {"name": "postgres__make_temp_relation", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__make_temp_relation", "macro_sql": "{% macro postgres__make_temp_relation(base_relation, suffix) %}\n    {% set temp_relation = postgres__make_relation_with_suffix(base_relation, suffix, dstring=True) %}\n    {{ return(temp_relation.incorporate(path={\"schema\": none,\n                                              \"database\": none})) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__make_relation_with_suffix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.621373, "supported_languages": null}, "macro.dbt_postgres.postgres__make_backup_relation": {"name": "postgres__make_backup_relation", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__make_backup_relation", "macro_sql": "{% macro postgres__make_backup_relation(base_relation, backup_relation_type, suffix) %}\n    {% set backup_relation = postgres__make_relation_with_suffix(base_relation, suffix, dstring=False) %}\n    {{ return(backup_relation.incorporate(type=backup_relation_type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__make_relation_with_suffix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.621661, "supported_languages": null}, "macro.dbt_postgres.postgres_escape_comment": {"name": "postgres_escape_comment", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres_escape_comment", "macro_sql": "{% macro postgres_escape_comment(comment) -%}\n  {% if comment is not string %}\n    {% do exceptions.raise_compiler_error('cannot escape a non-string: ' ~ comment) %}\n  {% endif %}\n  {%- set magic = '$dbt_comment_literal_block$' -%}\n  {%- if magic in comment -%}\n    {%- do exceptions.raise_compiler_error('The string ' ~ magic ~ ' is not allowed in comments.') -%}\n  {%- endif -%}\n  {{ magic }}{{ comment }}{{ magic }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.622101, "supported_languages": null}, "macro.dbt_postgres.postgres__alter_relation_comment": {"name": "postgres__alter_relation_comment", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__alter_relation_comment", "macro_sql": "{% macro postgres__alter_relation_comment(relation, comment) %}\n  {% set escaped_comment = postgres_escape_comment(comment) %}\n  comment on {{ relation.type }} {{ relation }} is {{ escaped_comment }};\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres_escape_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6223302, "supported_languages": null}, "macro.dbt_postgres.postgres__alter_column_comment": {"name": "postgres__alter_column_comment", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__alter_column_comment", "macro_sql": "{% macro postgres__alter_column_comment(relation, column_dict) %}\n  {% set existing_columns = adapter.get_columns_in_relation(relation) | map(attribute=\"name\") | list %}\n  {% for column_name in column_dict if (column_name in existing_columns) %}\n    {% set comment = column_dict[column_name]['description'] %}\n    {% set escaped_comment = postgres_escape_comment(comment) %}\n    comment on column {{ relation }}.{{ adapter.quote(column_name) if column_dict[column_name]['quote'] else column_name }} is {{ escaped_comment }};\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres_escape_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6229398, "supported_languages": null}, "macro.dbt_postgres.postgres__get_show_grant_sql": {"name": "postgres__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__get_show_grant_sql", "macro_sql": "\n\n{%- macro postgres__get_show_grant_sql(relation) -%}\n  select grantee, privilege_type\n  from {{ relation.information_schema('role_table_grants') }}\n      where grantor = current_role\n        and grantee != current_role\n        and table_schema = '{{ relation.schema }}'\n        and table_name = '{{ relation.identifier }}'\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.623148, "supported_languages": null}, "macro.dbt_postgres.postgres__copy_grants": {"name": "postgres__copy_grants", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_postgres.postgres__copy_grants", "macro_sql": "{% macro postgres__copy_grants() %}\n    {{ return(False) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6232681, "supported_languages": null}, "macro.dbt_postgres.postgres__get_incremental_default_sql": {"name": "postgres__get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/materializations/incremental_strategies.sql", "original_file_path": "macros/materializations/incremental_strategies.sql", "unique_id": "macro.dbt_postgres.postgres__get_incremental_default_sql", "macro_sql": "{% macro postgres__get_incremental_default_sql(arg_dict) %}\n\n  {% if arg_dict[\"unique_key\"] %}\n    {% do return(get_incremental_delete_insert_sql(arg_dict)) %}\n  {% else %}\n    {% do return(get_incremental_append_sql(arg_dict)) %}\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_incremental_delete_insert_sql", "macro.dbt.get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.623669, "supported_languages": null}, "macro.dbt_postgres.postgres__snapshot_merge_sql": {"name": "postgres__snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/materializations/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshot_merge.sql", "unique_id": "macro.dbt_postgres.postgres__snapshot_merge_sql", "macro_sql": "{% macro postgres__snapshot_merge_sql(target, source, insert_cols) -%}\n    {%- set insert_cols_csv = insert_cols | join(', ') -%}\n\n    update {{ target }}\n    set dbt_valid_to = DBT_INTERNAL_SOURCE.dbt_valid_to\n    from {{ source }} as DBT_INTERNAL_SOURCE\n    where DBT_INTERNAL_SOURCE.dbt_scd_id::text = {{ target }}.dbt_scd_id::text\n      and DBT_INTERNAL_SOURCE.dbt_change_type::text in ('update'::text, 'delete'::text)\n      and {{ target }}.dbt_valid_to is null;\n\n    insert into {{ target }} ({{ insert_cols_csv }})\n    select {% for column in insert_cols -%}\n        DBT_INTERNAL_SOURCE.{{ column }} {%- if not loop.last %}, {%- endif %}\n    {%- endfor %}\n    from {{ source }} as DBT_INTERNAL_SOURCE\n    where DBT_INTERNAL_SOURCE.dbt_change_type::text = 'insert'::text;\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.624398, "supported_languages": null}, "macro.dbt_postgres.postgres__dateadd": {"name": "postgres__dateadd", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt_postgres.postgres__dateadd", "macro_sql": "{% macro postgres__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    {{ from_date_or_timestamp }} + ((interval '1 {{ datepart }}') * ({{ interval }}))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.624641, "supported_languages": null}, "macro.dbt_postgres.postgres__listagg": {"name": "postgres__listagg", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt_postgres.postgres__listagg", "macro_sql": "{% macro postgres__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    {% if limit_num -%}\n    array_to_string(\n        (array_agg(\n            {{ measure }}\n            {% if order_by_clause -%}\n            {{ order_by_clause }}\n            {%- endif %}\n        ))[1:{{ limit_num }}],\n        {{ delimiter_text }}\n        )\n    {%- else %}\n    string_agg(\n        {{ measure }},\n        {{ delimiter_text }}\n        {% if order_by_clause -%}\n        {{ order_by_clause }}\n        {%- endif %}\n        )\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.625354, "supported_languages": null}, "macro.dbt_postgres.postgres__datediff": {"name": "postgres__datediff", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt_postgres.postgres__datediff", "macro_sql": "{% macro postgres__datediff(first_date, second_date, datepart) -%}\n\n    {% if datepart == 'year' %}\n        (date_part('year', ({{second_date}})::date) - date_part('year', ({{first_date}})::date))\n    {% elif datepart == 'quarter' %}\n        ({{ datediff(first_date, second_date, 'year') }} * 4 + date_part('quarter', ({{second_date}})::date) - date_part('quarter', ({{first_date}})::date))\n    {% elif datepart == 'month' %}\n        ({{ datediff(first_date, second_date, 'year') }} * 12 + date_part('month', ({{second_date}})::date) - date_part('month', ({{first_date}})::date))\n    {% elif datepart == 'day' %}\n        (({{second_date}})::date - ({{first_date}})::date)\n    {% elif datepart == 'week' %}\n        ({{ datediff(first_date, second_date, 'day') }} / 7 + case\n            when date_part('dow', ({{first_date}})::timestamp) <= date_part('dow', ({{second_date}})::timestamp) then\n                case when {{first_date}} <= {{second_date}} then 0 else -1 end\n            else\n                case when {{first_date}} <= {{second_date}} then 1 else 0 end\n        end)\n    {% elif datepart == 'hour' %}\n        ({{ datediff(first_date, second_date, 'day') }} * 24 + date_part('hour', ({{second_date}})::timestamp) - date_part('hour', ({{first_date}})::timestamp))\n    {% elif datepart == 'minute' %}\n        ({{ datediff(first_date, second_date, 'hour') }} * 60 + date_part('minute', ({{second_date}})::timestamp) - date_part('minute', ({{first_date}})::timestamp))\n    {% elif datepart == 'second' %}\n        ({{ datediff(first_date, second_date, 'minute') }} * 60 + floor(date_part('second', ({{second_date}})::timestamp)) - floor(date_part('second', ({{first_date}})::timestamp)))\n    {% elif datepart == 'millisecond' %}\n        ({{ datediff(first_date, second_date, 'minute') }} * 60000 + floor(date_part('millisecond', ({{second_date}})::timestamp)) - floor(date_part('millisecond', ({{first_date}})::timestamp)))\n    {% elif datepart == 'microsecond' %}\n        ({{ datediff(first_date, second_date, 'minute') }} * 60000000 + floor(date_part('microsecond', ({{second_date}})::timestamp)) - floor(date_part('microsecond', ({{first_date}})::timestamp)))\n    {% else %}\n        {{ exceptions.raise_compiler_error(\"Unsupported datepart for macro datediff in postgres: {!r}\".format(datepart)) }}\n    {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6286452, "supported_languages": null}, "macro.dbt_postgres.postgres__any_value": {"name": "postgres__any_value", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt_postgres.postgres__any_value", "macro_sql": "{% macro postgres__any_value(expression) -%}\n\n    min({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6288052, "supported_languages": null}, "macro.dbt_postgres.postgres__last_day": {"name": "postgres__last_day", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt_postgres.postgres__last_day", "macro_sql": "{% macro postgres__last_day(date, datepart) -%}\n\n    {%- if datepart == 'quarter' -%}\n    -- postgres dateadd does not support quarter interval.\n    cast(\n        {{dbt.dateadd('day', '-1',\n        dbt.dateadd('month', '3', dbt.date_trunc(datepart, date))\n        )}}\n        as date)\n    {%- else -%}\n    {{dbt.default_last_day(date, datepart)}}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.date_trunc", "macro.dbt.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6293151, "supported_languages": null}, "macro.dbt_postgres.postgres__split_part": {"name": "postgres__split_part", "resource_type": "macro", "package_name": "dbt_postgres", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt_postgres.postgres__split_part", "macro_sql": "{% macro postgres__split_part(string_text, delimiter_text, part_number) %}\n\n  {% if part_number >= 0 %}\n    {{ dbt.default__split_part(string_text, delimiter_text, part_number) }}\n  {% else %}\n    {{ dbt._split_part_negative(string_text, delimiter_text, part_number) }}\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__split_part", "macro.dbt._split_part_negative"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.629733, "supported_languages": null}, "macro.dbt.run_hooks": {"name": "run_hooks", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.run_hooks", "macro_sql": "{% macro run_hooks(hooks, inside_transaction=True) %}\n  {% for hook in hooks | selectattr('transaction', 'equalto', inside_transaction)  %}\n    {% if not inside_transaction and loop.first %}\n      {% call statement(auto_begin=inside_transaction) %}\n        commit;\n      {% endcall %}\n    {% endif %}\n    {% set rendered = render(hook.get('sql')) | trim %}\n    {% if (rendered | length) > 0 %}\n      {% call statement(auto_begin=inside_transaction) %}\n        {{ rendered }}\n      {% endcall %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.630864, "supported_languages": null}, "macro.dbt.make_hook_config": {"name": "make_hook_config", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.make_hook_config", "macro_sql": "{% macro make_hook_config(sql, inside_transaction) %}\n    {{ tojson({\"sql\": sql, \"transaction\": inside_transaction}) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.631068, "supported_languages": null}, "macro.dbt.before_begin": {"name": "before_begin", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.before_begin", "macro_sql": "{% macro before_begin(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.631218, "supported_languages": null}, "macro.dbt.in_transaction": {"name": "in_transaction", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.in_transaction", "macro_sql": "{% macro in_transaction(sql) %}\n    {{ make_hook_config(sql, inside_transaction=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6313658, "supported_languages": null}, "macro.dbt.after_commit": {"name": "after_commit", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.after_commit", "macro_sql": "{% macro after_commit(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.631509, "supported_languages": null}, "macro.dbt.set_sql_header": {"name": "set_sql_header", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.set_sql_header", "macro_sql": "{% macro set_sql_header(config) -%}\n  {{ config.set('sql_header', caller()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.631896, "supported_languages": null}, "macro.dbt.should_full_refresh": {"name": "should_full_refresh", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_full_refresh", "macro_sql": "{% macro should_full_refresh() %}\n  {% set config_full_refresh = config.get('full_refresh') %}\n  {% if config_full_refresh is none %}\n    {% set config_full_refresh = flags.FULL_REFRESH %}\n  {% endif %}\n  {% do return(config_full_refresh) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.632202, "supported_languages": null}, "macro.dbt.should_store_failures": {"name": "should_store_failures", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_store_failures", "macro_sql": "{% macro should_store_failures() %}\n  {% set config_store_failures = config.get('store_failures') %}\n  {% if config_store_failures is none %}\n    {% set config_store_failures = flags.STORE_FAILURES %}\n  {% endif %}\n  {% do return(config_store_failures) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.632512, "supported_languages": null}, "macro.dbt.snapshot_merge_sql": {"name": "snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.snapshot_merge_sql", "macro_sql": "{% macro snapshot_merge_sql(target, source, insert_cols) -%}\n  {{ adapter.dispatch('snapshot_merge_sql', 'dbt')(target, source, insert_cols) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__snapshot_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.632952, "supported_languages": null}, "macro.dbt.default__snapshot_merge_sql": {"name": "default__snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.default__snapshot_merge_sql", "macro_sql": "{% macro default__snapshot_merge_sql(target, source, insert_cols) -%}\n    {%- set insert_cols_csv = insert_cols | join(', ') -%}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n    using {{ source }} as DBT_INTERNAL_SOURCE\n    on DBT_INTERNAL_SOURCE.dbt_scd_id = DBT_INTERNAL_DEST.dbt_scd_id\n\n    when matched\n     and DBT_INTERNAL_DEST.dbt_valid_to is null\n     and DBT_INTERNAL_SOURCE.dbt_change_type in ('update', 'delete')\n        then update\n        set dbt_valid_to = DBT_INTERNAL_SOURCE.dbt_valid_to\n\n    when not matched\n     and DBT_INTERNAL_SOURCE.dbt_change_type = 'insert'\n        then insert ({{ insert_cols_csv }})\n        values ({{ insert_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.633229, "supported_languages": null}, "macro.dbt.strategy_dispatch": {"name": "strategy_dispatch", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.strategy_dispatch", "macro_sql": "{% macro strategy_dispatch(name) -%}\n{% set original_name = name %}\n  {% if '.' in name %}\n    {% set package_name, name = name.split(\".\", 1) %}\n  {% else %}\n    {% set package_name = none %}\n  {% endif %}\n\n  {% if package_name is none %}\n    {% set package_context = context %}\n  {% elif package_name in context %}\n    {% set package_context = context[package_name] %}\n  {% else %}\n    {% set error_msg %}\n        Could not find package '{{package_name}}', called with '{{original_name}}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n\n  {%- set search_name = 'snapshot_' ~ name ~ '_strategy' -%}\n\n  {% if search_name not in package_context %}\n    {% set error_msg %}\n        The specified strategy macro '{{name}}' was not found in package '{{ package_name }}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n  {{ return(package_context[search_name]) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6369421, "supported_languages": null}, "macro.dbt.snapshot_hash_arguments": {"name": "snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_hash_arguments", "macro_sql": "{% macro snapshot_hash_arguments(args) -%}\n  {{ adapter.dispatch('snapshot_hash_arguments', 'dbt')(args) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6371179, "supported_languages": null}, "macro.dbt.default__snapshot_hash_arguments": {"name": "default__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_hash_arguments", "macro_sql": "{% macro default__snapshot_hash_arguments(args) -%}\n    md5({%- for arg in args -%}\n        coalesce(cast({{ arg }} as varchar ), '')\n        {% if not loop.last %} || '|' || {% endif %}\n    {%- endfor -%})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.637344, "supported_languages": null}, "macro.dbt.snapshot_timestamp_strategy": {"name": "snapshot_timestamp_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_timestamp_strategy", "macro_sql": "{% macro snapshot_timestamp_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set primary_key = config['unique_key'] %}\n    {% set updated_at = config['updated_at'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n\n    {#/*\n        The snapshot relation might not have an {{ updated_at }} value if the\n        snapshot strategy is changed from `check` to `timestamp`. We\n        should use a dbt-created column for the comparison in the snapshot\n        table instead of assuming that the user-supplied {{ updated_at }}\n        will be present in the historical data.\n\n        See https://github.com/dbt-labs/dbt-core/issues/2350\n    */ #}\n    {% set row_changed_expr -%}\n        ({{ snapshotted_rel }}.dbt_valid_from < {{ current_rel }}.{{ updated_at }})\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.638077, "supported_languages": null}, "macro.dbt.snapshot_string_as_time": {"name": "snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_string_as_time", "macro_sql": "{% macro snapshot_string_as_time(timestamp) -%}\n    {{ adapter.dispatch('snapshot_string_as_time', 'dbt')(timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__snapshot_string_as_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.638247, "supported_languages": null}, "macro.dbt.default__snapshot_string_as_time": {"name": "default__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_string_as_time", "macro_sql": "{% macro default__snapshot_string_as_time(timestamp) %}\n    {% do exceptions.raise_not_implemented(\n        'snapshot_string_as_time macro not implemented for adapter '+adapter.type()\n    ) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.638426, "supported_languages": null}, "macro.dbt.snapshot_check_all_get_existing_columns": {"name": "snapshot_check_all_get_existing_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_all_get_existing_columns", "macro_sql": "{% macro snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) -%}\n    {%- if not target_exists -%}\n        {#-- no table yet -> return whatever the query does --#}\n        {{ return((false, query_columns)) }}\n    {%- endif -%}\n\n    {#-- handle any schema changes --#}\n    {%- set target_relation = adapter.get_relation(database=node.database, schema=node.schema, identifier=node.alias) -%}\n\n    {% if check_cols_config == 'all' %}\n        {%- set query_columns = get_columns_in_query(node['compiled_code']) -%}\n\n    {% elif check_cols_config is iterable and (check_cols_config | length) > 0 %}\n        {#-- query for proper casing/quoting, to support comparison below --#}\n        {%- set select_check_cols_from_target -%}\n            {#-- N.B. The whitespace below is necessary to avoid edge case issue with comments --#}\n            {#-- See: https://github.com/dbt-labs/dbt-core/issues/6781 --#}\n            select {{ check_cols_config | join(', ') }} from (\n                {{ node['compiled_code'] }}\n            ) subq\n        {%- endset -%}\n        {% set query_columns = get_columns_in_query(select_check_cols_from_target) %}\n\n    {% else %}\n        {% do exceptions.raise_compiler_error(\"Invalid value for 'check_cols': \" ~ check_cols_config) %}\n    {% endif %}\n\n    {%- set existing_cols = adapter.get_columns_in_relation(target_relation) | map(attribute = 'name') | list -%}\n    {%- set ns = namespace() -%} {#-- handle for-loop scoping with a namespace --#}\n    {%- set ns.column_added = false -%}\n\n    {%- set intersection = [] -%}\n    {%- for col in query_columns -%}\n        {%- if col in existing_cols -%}\n            {%- do intersection.append(adapter.quote(col)) -%}\n        {%- else -%}\n            {% set ns.column_added = true %}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return((ns.column_added, intersection)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6398962, "supported_languages": null}, "macro.dbt.snapshot_check_strategy": {"name": "snapshot_check_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_strategy", "macro_sql": "{% macro snapshot_check_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set check_cols_config = config['check_cols'] %}\n    {% set primary_key = config['unique_key'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n    {% set updated_at = config.get('updated_at', snapshot_get_time()) %}\n\n    {% set column_added = false %}\n\n    {% set column_added, check_cols = snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) %}\n\n    {%- set row_changed_expr -%}\n    (\n    {%- if column_added -%}\n        {{ get_true_sql() }}\n    {%- else -%}\n    {%- for col in check_cols -%}\n        {{ snapshotted_rel }}.{{ col }} != {{ current_rel }}.{{ col }}\n        or\n        (\n            (({{ snapshotted_rel }}.{{ col }} is null) and not ({{ current_rel }}.{{ col }} is null))\n            or\n            ((not {{ snapshotted_rel }}.{{ col }} is null) and ({{ current_rel }}.{{ col }} is null))\n        )\n        {%- if not loop.last %} or {% endif -%}\n    {%- endfor -%}\n    {%- endif -%}\n    )\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time", "macro.dbt.snapshot_check_all_get_existing_columns", "macro.dbt.get_true_sql", "macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6412868, "supported_languages": null}, "macro.dbt.create_columns": {"name": "create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.create_columns", "macro_sql": "{% macro create_columns(relation, columns) %}\n  {{ adapter.dispatch('create_columns', 'dbt')(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.645598, "supported_languages": null}, "macro.dbt.default__create_columns": {"name": "default__create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__create_columns", "macro_sql": "{% macro default__create_columns(relation, columns) %}\n  {% for column in columns %}\n    {% call statement() %}\n      alter table {{ relation }} add column \"{{ column.name }}\" {{ column.data_type }};\n    {% endcall %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6459079, "supported_languages": null}, "macro.dbt.post_snapshot": {"name": "post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.post_snapshot", "macro_sql": "{% macro post_snapshot(staging_relation) %}\n  {{ adapter.dispatch('post_snapshot', 'dbt')(staging_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.646085, "supported_languages": null}, "macro.dbt.default__post_snapshot": {"name": "default__post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__post_snapshot", "macro_sql": "{% macro default__post_snapshot(staging_relation) %}\n    {# no-op #}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.646176, "supported_languages": null}, "macro.dbt.get_true_sql": {"name": "get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.get_true_sql", "macro_sql": "{% macro get_true_sql() %}\n  {{ adapter.dispatch('get_true_sql', 'dbt')() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_true_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6463249, "supported_languages": null}, "macro.dbt.default__get_true_sql": {"name": "default__get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__get_true_sql", "macro_sql": "{% macro default__get_true_sql() %}\n    {{ return('TRUE') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.646451, "supported_languages": null}, "macro.dbt.snapshot_staging_table": {"name": "snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.snapshot_staging_table", "macro_sql": "{% macro snapshot_staging_table(strategy, source_sql, target_relation) -%}\n  {{ adapter.dispatch('snapshot_staging_table', 'dbt')(strategy, source_sql, target_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_staging_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.646663, "supported_languages": null}, "macro.dbt.default__snapshot_staging_table": {"name": "default__snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__snapshot_staging_table", "macro_sql": "{% macro default__snapshot_staging_table(strategy, source_sql, target_relation) -%}\n\n    with snapshot_query as (\n\n        {{ source_sql }}\n\n    ),\n\n    snapshotted_data as (\n\n        select *,\n            {{ strategy.unique_key }} as dbt_unique_key\n\n        from {{ target_relation }}\n        where dbt_valid_to is null\n\n    ),\n\n    insertions_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to,\n            {{ strategy.scd_id }} as dbt_scd_id\n\n        from snapshot_query\n    ),\n\n    updates_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            {{ strategy.updated_at }} as dbt_valid_to\n\n        from snapshot_query\n    ),\n\n    {%- if strategy.invalidate_hard_deletes %}\n\n    deletes_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key\n        from snapshot_query\n    ),\n    {% endif %}\n\n    insertions as (\n\n        select\n            'insert' as dbt_change_type,\n            source_data.*\n\n        from insertions_source_data as source_data\n        left outer join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where snapshotted_data.dbt_unique_key is null\n           or (\n                snapshotted_data.dbt_unique_key is not null\n            and (\n                {{ strategy.row_changed }}\n            )\n        )\n\n    ),\n\n    updates as (\n\n        select\n            'update' as dbt_change_type,\n            source_data.*,\n            snapshotted_data.dbt_scd_id\n\n        from updates_source_data as source_data\n        join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where (\n            {{ strategy.row_changed }}\n        )\n    )\n\n    {%- if strategy.invalidate_hard_deletes -%}\n    ,\n\n    deletes as (\n\n        select\n            'delete' as dbt_change_type,\n            source_data.*,\n            {{ snapshot_get_time() }} as dbt_valid_from,\n            {{ snapshot_get_time() }} as dbt_updated_at,\n            {{ snapshot_get_time() }} as dbt_valid_to,\n            snapshotted_data.dbt_scd_id\n\n        from snapshotted_data\n        left join deletes_source_data as source_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where source_data.dbt_unique_key is null\n    )\n    {%- endif %}\n\n    select * from insertions\n    union all\n    select * from updates\n    {%- if strategy.invalidate_hard_deletes %}\n    union all\n    select * from deletes\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.647572, "supported_languages": null}, "macro.dbt.build_snapshot_table": {"name": "build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_table", "macro_sql": "{% macro build_snapshot_table(strategy, sql) -%}\n  {{ adapter.dispatch('build_snapshot_table', 'dbt')(strategy, sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__build_snapshot_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.647768, "supported_languages": null}, "macro.dbt.default__build_snapshot_table": {"name": "default__build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__build_snapshot_table", "macro_sql": "{% macro default__build_snapshot_table(strategy, sql) %}\n\n    select *,\n        {{ strategy.scd_id }} as dbt_scd_id,\n        {{ strategy.updated_at }} as dbt_updated_at,\n        {{ strategy.updated_at }} as dbt_valid_from,\n        nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to\n    from (\n        {{ sql }}\n    ) sbq\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6480262, "supported_languages": null}, "macro.dbt.build_snapshot_staging_table": {"name": "build_snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_staging_table", "macro_sql": "{% macro build_snapshot_staging_table(strategy, sql, target_relation) %}\n    {% set temp_relation = make_temp_relation(target_relation) %}\n\n    {% set select = snapshot_staging_table(strategy, sql, target_relation) %}\n\n    {% call statement('build_snapshot_staging_relation') %}\n        {{ create_table_as(True, temp_relation, select) }}\n    {% endcall %}\n\n    {% do return(temp_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_temp_relation", "macro.dbt.snapshot_staging_table", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6484659, "supported_languages": null}, "macro.dbt.materialization_snapshot_default": {"name": "materialization_snapshot_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot.sql", "original_file_path": "macros/materializations/snapshots/snapshot.sql", "unique_id": "macro.dbt.materialization_snapshot_default", "macro_sql": "{% materialization snapshot, default %}\n  {%- set config = model['config'] -%}\n\n  {%- set target_table = model.get('alias', model.get('name')) -%}\n\n  {%- set strategy_name = config.get('strategy') -%}\n  {%- set unique_key = config.get('unique_key') %}\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {% set target_relation_exists, target_relation = get_or_create_relation(\n          database=model.database,\n          schema=model.schema,\n          identifier=target_table,\n          type='table') -%}\n\n  {%- if not target_relation.is_table -%}\n    {% do exceptions.relation_wrong_type(target_relation, 'table') %}\n  {%- endif -%}\n\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set strategy_macro = strategy_dispatch(strategy_name) %}\n  {% set strategy = strategy_macro(model, \"snapshotted_data\", \"source_data\", config, target_relation_exists) %}\n\n  {% if not target_relation_exists %}\n\n      {% set build_sql = build_snapshot_table(strategy, model['compiled_code']) %}\n      {% set final_sql = create_table_as(False, target_relation, build_sql) %}\n\n  {% else %}\n\n      {{ adapter.valid_snapshot_target(target_relation) }}\n\n      {% set staging_table = build_snapshot_staging_table(strategy, sql, target_relation) %}\n\n      -- this may no-op if the database does not require column expansion\n      {% do adapter.expand_target_column_types(from_relation=staging_table,\n                                               to_relation=target_relation) %}\n\n      {% set missing_columns = adapter.get_missing_columns(staging_table, target_relation)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% do create_columns(target_relation, missing_columns) %}\n\n      {% set source_columns = adapter.get_columns_in_relation(staging_table)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% set quoted_source_columns = [] %}\n      {% for column in source_columns %}\n        {% do quoted_source_columns.append(adapter.quote(column.name)) %}\n      {% endfor %}\n\n      {% set final_sql = snapshot_merge_sql(\n            target = target_relation,\n            source = staging_table,\n            insert_cols = quoted_source_columns\n         )\n      %}\n\n  {% endif %}\n\n  {% call statement('main') %}\n      {{ final_sql }}\n  {% endcall %}\n\n  {% set should_revoke = should_revoke(target_relation_exists, full_refresh_mode=False) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if not target_relation_exists %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {% if staging_table is defined %}\n      {% do post_snapshot(staging_table) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.get_or_create_relation", "macro.dbt.run_hooks", "macro.dbt.strategy_dispatch", "macro.dbt.build_snapshot_table", "macro.dbt.create_table_as", "macro.dbt.build_snapshot_staging_table", "macro.dbt.create_columns", "macro.dbt.snapshot_merge_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes", "macro.dbt.post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.654857, "supported_languages": ["sql"]}, "macro.dbt.materialization_test_default": {"name": "materialization_test_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/test.sql", "original_file_path": "macros/materializations/tests/test.sql", "unique_id": "macro.dbt.materialization_test_default", "macro_sql": "{%- materialization test, default -%}\n\n  {% set relations = [] %}\n\n  {% if should_store_failures() %}\n\n    {% set identifier = model['alias'] %}\n    {% set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n    {% set target_relation = api.Relation.create(\n        identifier=identifier, schema=schema, database=database, type='table') -%} %}\n\n    {% if old_relation %}\n        {% do adapter.drop_relation(old_relation) %}\n    {% endif %}\n\n    {% call statement(auto_begin=True) %}\n        {{ create_table_as(False, target_relation, sql) }}\n    {% endcall %}\n\n    {% do relations.append(target_relation) %}\n\n    {% set main_sql %}\n        select *\n        from {{ target_relation }}\n    {% endset %}\n\n    {{ adapter.commit() }}\n\n  {% else %}\n\n      {% set main_sql = sql %}\n\n  {% endif %}\n\n  {% set limit = config.get('limit') %}\n  {% set fail_calc = config.get('fail_calc') %}\n  {% set warn_if = config.get('warn_if') %}\n  {% set error_if = config.get('error_if') %}\n\n  {% call statement('main', fetch_result=True) -%}\n\n    {{ get_test_sql(main_sql, fail_calc, warn_if, error_if, limit)}}\n\n  {%- endcall %}\n\n  {{ return({'relations': relations}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.should_store_failures", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.656967, "supported_languages": ["sql"]}, "macro.dbt.get_test_sql": {"name": "get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.get_test_sql", "macro_sql": "{% macro get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n  {{ adapter.dispatch('get_test_sql', 'dbt')(main_sql, fail_calc, warn_if, error_if, limit) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.657425, "supported_languages": null}, "macro.dbt.default__get_test_sql": {"name": "default__get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.default__get_test_sql", "macro_sql": "{% macro default__get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n    select\n      {{ fail_calc }} as failures,\n      {{ fail_calc }} {{ warn_if }} as should_warn,\n      {{ fail_calc }} {{ error_if }} as should_error\n    from (\n      {{ main_sql }}\n      {{ \"limit \" ~ limit if limit != none }}\n    ) dbt_internal_test\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.65774, "supported_languages": null}, "macro.dbt.get_where_subquery": {"name": "get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.get_where_subquery", "macro_sql": "{% macro get_where_subquery(relation) -%}\n    {% do return(adapter.dispatch('get_where_subquery', 'dbt')(relation)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_where_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.658126, "supported_languages": null}, "macro.dbt.default__get_where_subquery": {"name": "default__get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.default__get_where_subquery", "macro_sql": "{% macro default__get_where_subquery(relation) -%}\n    {% set where = config.get('where', '') %}\n    {% if where %}\n        {%- set filtered -%}\n            (select * from {{ relation }} where {{ where }}) dbt_subquery\n        {%- endset -%}\n        {% do return(filtered) %}\n    {%- else -%}\n        {% do return(relation) %}\n    {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.658518, "supported_languages": null}, "macro.dbt.get_quoted_csv": {"name": "get_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_quoted_csv", "macro_sql": "{% macro get_quoted_csv(column_names) %}\n\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote(col)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.660182, "supported_languages": null}, "macro.dbt.diff_columns": {"name": "diff_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_columns", "macro_sql": "{% macro diff_columns(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% set source_names = source_columns | map(attribute = 'column') | list %}\n  {% set target_names = target_columns | map(attribute = 'column') | list %}\n\n   {# --check whether the name attribute exists in the target - this does not perform a data type check #}\n   {% for sc in source_columns %}\n     {% if sc.name not in target_names %}\n        {{ result.append(sc) }}\n     {% endif %}\n   {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.660736, "supported_languages": null}, "macro.dbt.diff_column_data_types": {"name": "diff_column_data_types", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_column_data_types", "macro_sql": "{% macro diff_column_data_types(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% for sc in source_columns %}\n    {% set tc = target_columns | selectattr(\"name\", \"equalto\", sc.name) | list | first %}\n    {% if tc %}\n      {% if sc.data_type != tc.data_type and not sc.can_expand_to(other_column=tc) %}\n        {{ result.append( { 'column_name': tc.name, 'new_type': sc.data_type } ) }}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.661416, "supported_languages": null}, "macro.dbt.get_merge_update_columns": {"name": "get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_merge_update_columns", "macro_sql": "{% macro get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {{ return(adapter.dispatch('get_merge_update_columns', 'dbt')(merge_update_columns, merge_exclude_columns, dest_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6616588, "supported_languages": null}, "macro.dbt.default__get_merge_update_columns": {"name": "default__get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.default__get_merge_update_columns", "macro_sql": "{% macro default__get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {%- set default_cols = dest_columns | map(attribute=\"quoted\") | list -%}\n\n  {%- if merge_update_columns and merge_exclude_columns -%}\n    {{ exceptions.raise_compiler_error(\n        'Model cannot specify merge_update_columns and merge_exclude_columns. Please update model to use only one config'\n    )}}\n  {%- elif merge_update_columns -%}\n    {%- set update_columns = merge_update_columns -%}\n  {%- elif merge_exclude_columns -%}\n    {%- set update_columns = [] -%}\n    {%- for column in dest_columns -%}\n      {% if column.column | lower not in merge_exclude_columns | map(\"lower\") | list %}\n        {%- do update_columns.append(column.quoted) -%}\n      {% endif %}\n    {%- endfor -%}\n  {%- else -%}\n    {%- set update_columns = default_cols -%}\n  {%- endif -%}\n\n  {{ return(update_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.662389, "supported_languages": null}, "macro.dbt.get_merge_sql": {"name": "get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_merge_sql", "macro_sql": "{% macro get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n   -- back compat for old kwarg name\n  {% set incremental_predicates = kwargs.get('predicates', incremental_predicates) %}\n  {{ adapter.dispatch('get_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.669138, "supported_languages": null}, "macro.dbt.default__get_merge_sql": {"name": "default__get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_merge_sql", "macro_sql": "{% macro default__get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n    {%- set predicates = [] if incremental_predicates is none else [] + incremental_predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set merge_update_columns = config.get('merge_update_columns') -%}\n    {%- set merge_exclude_columns = config.get('merge_exclude_columns') -%}\n    {%- set update_columns = get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not mapping and unique_key is not string %}\n            {% for key in unique_key %}\n                {% set this_key_match %}\n                    DBT_INTERNAL_SOURCE.{{ key }} = DBT_INTERNAL_DEST.{{ key }}\n                {% endset %}\n                {% do predicates.append(this_key_match) %}\n            {% endfor %}\n        {% else %}\n            {% set unique_key_match %}\n                DBT_INTERNAL_SOURCE.{{ unique_key }} = DBT_INTERNAL_DEST.{{ unique_key }}\n            {% endset %}\n            {% do predicates.append(unique_key_match) %}\n        {% endif %}\n    {% else %}\n        {% do predicates.append('FALSE') %}\n    {% endif %}\n\n    {{ sql_header if sql_header is not none }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on {{\"(\" ~ predicates | join(\") and (\") ~ \")\"}}\n\n    {% if unique_key %}\n    when matched then update set\n        {% for column_name in update_columns -%}\n            {{ column_name }} = DBT_INTERNAL_SOURCE.{{ column_name }}\n            {%- if not loop.last %}, {%- endif %}\n        {%- endfor %}\n    {% endif %}\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt.get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.670841, "supported_languages": null}, "macro.dbt.get_delete_insert_merge_sql": {"name": "get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_delete_insert_merge_sql", "macro_sql": "{% macro get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n  {{ adapter.dispatch('get_delete_insert_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6711118, "supported_languages": null}, "macro.dbt.default__get_delete_insert_merge_sql": {"name": "default__get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_delete_insert_merge_sql", "macro_sql": "{% macro default__get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not string %}\n            delete from {{target }}\n            using {{ source }}\n            where (\n                {% for key in unique_key %}\n                    {{ source }}.{{ key }} = {{ target }}.{{ key }}\n                    {{ \"and \" if not loop.last}}\n                {% endfor %}\n                {% if incremental_predicates %}\n                    {% for predicate in incremental_predicates %}\n                        and {{ predicate }}\n                    {% endfor %}\n                {% endif %}\n            );\n        {% else %}\n            delete from {{ target }}\n            where (\n                {{ unique_key }}) in (\n                select ({{ unique_key }})\n                from {{ source }}\n            )\n            {%- if incremental_predicates %}\n                {% for predicate in incremental_predicates %}\n                    and {{ predicate }}\n                {% endfor %}\n            {%- endif -%};\n\n        {% endif %}\n    {% endif %}\n\n    insert into {{ target }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ source }}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6721349, "supported_languages": null}, "macro.dbt.get_insert_overwrite_merge_sql": {"name": "get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_insert_overwrite_merge_sql", "macro_sql": "{% macro get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header=false) -%}\n  {{ adapter.dispatch('get_insert_overwrite_merge_sql', 'dbt')(target, source, dest_columns, predicates, include_sql_header) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.67241, "supported_languages": null}, "macro.dbt.default__get_insert_overwrite_merge_sql": {"name": "default__get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_insert_overwrite_merge_sql", "macro_sql": "{% macro default__get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header) -%}\n    {#-- The only time include_sql_header is True: --#}\n    {#-- BigQuery + insert_overwrite strategy + \"static\" partitions config --#}\n    {#-- We should consider including the sql header at the materialization level instead --#}\n\n    {%- set predicates = [] if predicates is none else [] + predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {{ sql_header if sql_header is not none and include_sql_header }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on FALSE\n\n    when not matched by source\n        {% if predicates %} and {{ predicates | join(' and ') }} {% endif %}\n        then delete\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.673075, "supported_languages": null}, "macro.dbt.is_incremental": {"name": "is_incremental", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/is_incremental.sql", "original_file_path": "macros/materializations/models/incremental/is_incremental.sql", "unique_id": "macro.dbt.is_incremental", "macro_sql": "{% macro is_incremental() %}\n    {#-- do not run introspective queries in parsing #}\n    {% if not execute %}\n        {{ return(False) }}\n    {% else %}\n        {% set relation = adapter.get_relation(this.database, this.schema, this.table) %}\n        {{ return(relation is not none\n                  and relation.type == 'table'\n                  and model.config.materialized == 'incremental'\n                  and not should_full_refresh()) }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.673718, "supported_languages": null}, "macro.dbt.get_incremental_append_sql": {"name": "get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_append_sql", "macro_sql": "{% macro get_incremental_append_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_append_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6746309, "supported_languages": null}, "macro.dbt.default__get_incremental_append_sql": {"name": "default__get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_append_sql", "macro_sql": "{% macro default__get_incremental_append_sql(arg_dict) %}\n\n  {% do return(get_insert_into_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_into_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.674873, "supported_languages": null}, "macro.dbt.get_incremental_delete_insert_sql": {"name": "get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_delete_insert_sql", "macro_sql": "{% macro get_incremental_delete_insert_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_delete_insert_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_delete_insert_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.675064, "supported_languages": null}, "macro.dbt.default__get_incremental_delete_insert_sql": {"name": "default__get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_delete_insert_sql", "macro_sql": "{% macro default__get_incremental_delete_insert_sql(arg_dict) %}\n\n  {% do return(get_delete_insert_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.675362, "supported_languages": null}, "macro.dbt.get_incremental_merge_sql": {"name": "get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_merge_sql", "macro_sql": "{% macro get_incremental_merge_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_merge_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.675553, "supported_languages": null}, "macro.dbt.default__get_incremental_merge_sql": {"name": "default__get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_merge_sql", "macro_sql": "{% macro default__get_incremental_merge_sql(arg_dict) %}\n\n  {% do return(get_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.675862, "supported_languages": null}, "macro.dbt.get_incremental_insert_overwrite_sql": {"name": "get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_insert_overwrite_sql", "macro_sql": "{% macro get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_insert_overwrite_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.676058, "supported_languages": null}, "macro.dbt.default__get_incremental_insert_overwrite_sql": {"name": "default__get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_insert_overwrite_sql", "macro_sql": "{% macro default__get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {% do return(get_insert_overwrite_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6763241, "supported_languages": null}, "macro.dbt.get_incremental_default_sql": {"name": "get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_default_sql", "macro_sql": "{% macro get_incremental_default_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_default_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__get_incremental_default_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6765141, "supported_languages": null}, "macro.dbt.default__get_incremental_default_sql": {"name": "default__get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_default_sql", "macro_sql": "{% macro default__get_incremental_default_sql(arg_dict) %}\n\n  {% do return(get_incremental_append_sql(arg_dict)) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.676665, "supported_languages": null}, "macro.dbt.get_insert_into_sql": {"name": "get_insert_into_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_insert_into_sql", "macro_sql": "{% macro get_insert_into_sql(target_relation, temp_relation, dest_columns) %}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    insert into {{ target_relation }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ temp_relation }}\n    )\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.67695, "supported_languages": null}, "macro.dbt.materialization_incremental_default": {"name": "materialization_incremental_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/incremental.sql", "original_file_path": "macros/materializations/models/incremental/incremental.sql", "unique_id": "macro.dbt.materialization_incremental_default", "macro_sql": "{% materialization incremental, default -%}\n\n  -- relations\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') -%}\n  {%- set temp_relation = make_temp_relation(target_relation)-%}\n  {%- set intermediate_relation = make_intermediate_relation(target_relation)-%}\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n\n  -- configs\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()  or existing_relation.is_view) -%}\n  {%- set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') -%}\n\n  -- the temp_ and backup_ relations should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation. This has to happen before\n  -- BEGIN, in a separate transaction\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation)-%}\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n   -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set to_drop = [] %}\n\n  {% if existing_relation is none %}\n      {% set build_sql = get_create_table_as_sql(False, target_relation, sql) %}\n  {% elif full_refresh_mode %}\n      {% set build_sql = get_create_table_as_sql(False, intermediate_relation, sql) %}\n      {% set need_swap = true %}\n  {% else %}\n    {% do run_query(get_create_table_as_sql(True, temp_relation, sql)) %}\n    {% do adapter.expand_target_column_types(\n             from_relation=temp_relation,\n             to_relation=target_relation) %}\n    {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n    {% set dest_columns = process_schema_changes(on_schema_change, temp_relation, existing_relation) %}\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n\n    {#-- Get the incremental_strategy, the macro to use for the strategy, and build the sql --#}\n    {% set incremental_strategy = config.get('incremental_strategy') or 'default' %}\n    {% set incremental_predicates = config.get('predicates', none) or config.get('incremental_predicates', none) %}\n    {% set strategy_sql_macro_func = adapter.get_incremental_strategy_macro(context, incremental_strategy) %}\n    {% set strategy_arg_dict = ({'target_relation': target_relation, 'temp_relation': temp_relation, 'unique_key': unique_key, 'dest_columns': dest_columns, 'incremental_predicates': incremental_predicates }) %}\n    {% set build_sql = strategy_sql_macro_func(strategy_arg_dict) %}\n\n  {% endif %}\n\n  {% call statement(\"main\") %}\n      {{ build_sql }}\n  {% endcall %}\n\n  {% if need_swap %}\n      {% do adapter.rename_relation(target_relation, backup_relation) %}\n      {% do adapter.rename_relation(intermediate_relation, target_relation) %}\n      {% do to_drop.append(backup_relation) %}\n  {% endif %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if existing_relation is none or existing_relation.is_view or should_full_refresh() %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {% do adapter.commit() %}\n\n  {% for rel in to_drop %}\n      {% do adapter.drop_relation(rel) %}\n  {% endfor %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_temp_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.should_full_refresh", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.get_create_table_as_sql", "macro.dbt.run_query", "macro.dbt.process_schema_changes", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.682097, "supported_languages": ["sql"]}, "macro.dbt.incremental_validate_on_schema_change": {"name": "incremental_validate_on_schema_change", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.incremental_validate_on_schema_change", "macro_sql": "{% macro incremental_validate_on_schema_change(on_schema_change, default='ignore') %}\n\n   {% if on_schema_change not in ['sync_all_columns', 'append_new_columns', 'fail', 'ignore'] %}\n\n     {% set log_message = 'Invalid value for on_schema_change (%s) specified. Setting default value of %s.' % (on_schema_change, default) %}\n     {% do log(log_message) %}\n\n     {{ return(default) }}\n\n   {% else %}\n\n     {{ return(on_schema_change) }}\n\n   {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.687954, "supported_languages": null}, "macro.dbt.check_for_schema_changes": {"name": "check_for_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.check_for_schema_changes", "macro_sql": "{% macro check_for_schema_changes(source_relation, target_relation) %}\n\n  {% set schema_changed = False %}\n\n  {%- set source_columns = adapter.get_columns_in_relation(source_relation) -%}\n  {%- set target_columns = adapter.get_columns_in_relation(target_relation) -%}\n  {%- set source_not_in_target = diff_columns(source_columns, target_columns) -%}\n  {%- set target_not_in_source = diff_columns(target_columns, source_columns) -%}\n\n  {% set new_target_types = diff_column_data_types(source_columns, target_columns) %}\n\n  {% if source_not_in_target != [] %}\n    {% set schema_changed = True %}\n  {% elif target_not_in_source != [] or new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% elif new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% endif %}\n\n  {% set changes_dict = {\n    'schema_changed': schema_changed,\n    'source_not_in_target': source_not_in_target,\n    'target_not_in_source': target_not_in_source,\n    'source_columns': source_columns,\n    'target_columns': target_columns,\n    'new_target_types': new_target_types\n  } %}\n\n  {% set msg %}\n    In {{ target_relation }}:\n        Schema changed: {{ schema_changed }}\n        Source columns not in target: {{ source_not_in_target }}\n        Target columns not in source: {{ target_not_in_source }}\n        New column types: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(msg) %}\n\n  {{ return(changes_dict) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.diff_columns", "macro.dbt.diff_column_data_types"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.689195, "supported_languages": null}, "macro.dbt.sync_column_schemas": {"name": "sync_column_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.sync_column_schemas", "macro_sql": "{% macro sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n  {%- set add_to_target_arr = schema_changes_dict['source_not_in_target'] -%}\n\n  {%- if on_schema_change == 'append_new_columns'-%}\n     {%- if add_to_target_arr | length > 0 -%}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, none) -%}\n     {%- endif -%}\n\n  {% elif on_schema_change == 'sync_all_columns' %}\n     {%- set remove_from_target_arr = schema_changes_dict['target_not_in_source'] -%}\n     {%- set new_target_types = schema_changes_dict['new_target_types'] -%}\n\n     {% if add_to_target_arr | length > 0 or remove_from_target_arr | length > 0 %}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, remove_from_target_arr) -%}\n     {% endif %}\n\n     {% if new_target_types != [] %}\n       {% for ntt in new_target_types %}\n         {% set column_name = ntt['column_name'] %}\n         {% set new_type = ntt['new_type'] %}\n         {% do alter_column_type(target_relation, column_name, new_type) %}\n       {% endfor %}\n     {% endif %}\n\n  {% endif %}\n\n  {% set schema_change_message %}\n    In {{ target_relation }}:\n        Schema change approach: {{ on_schema_change }}\n        Columns added: {{ add_to_target_arr }}\n        Columns removed: {{ remove_from_target_arr }}\n        Data types changed: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(schema_change_message) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_relation_add_remove_columns", "macro.dbt.alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6904051, "supported_languages": null}, "macro.dbt.process_schema_changes": {"name": "process_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.process_schema_changes", "macro_sql": "{% macro process_schema_changes(on_schema_change, source_relation, target_relation) %}\n\n    {% if on_schema_change == 'ignore' %}\n\n     {{ return({}) }}\n\n    {% else %}\n\n      {% set schema_changes_dict = check_for_schema_changes(source_relation, target_relation) %}\n\n      {% if schema_changes_dict['schema_changed'] %}\n\n        {% if on_schema_change == 'fail' %}\n\n          {% set fail_msg %}\n              The source and target schemas on this incremental model are out of sync!\n              They can be reconciled in several ways:\n                - set the `on_schema_change` config to either append_new_columns or sync_all_columns, depending on your situation.\n                - Re-run the incremental model with `full_refresh: True` to update the target schema.\n                - update the schema manually and re-run the process.\n\n              Additional troubleshooting context:\n                 Source columns not in target: {{ schema_changes_dict['source_not_in_target'] }}\n                 Target columns not in source: {{ schema_changes_dict['target_not_in_source'] }}\n                 New column types: {{ schema_changes_dict['new_target_types'] }}\n          {% endset %}\n\n          {% do exceptions.raise_compiler_error(fail_msg) %}\n\n        {# -- unless we ignore, run the sync operation per the config #}\n        {% else %}\n\n          {% do sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n        {% endif %}\n\n      {% endif %}\n\n      {{ return(schema_changes_dict['source_columns']) }}\n\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.check_for_schema_changes", "macro.dbt.sync_column_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.691266, "supported_languages": null}, "macro.dbt.get_table_columns_and_constraints": {"name": "get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_table_columns_and_constraints", "macro_sql": "{%- macro get_table_columns_and_constraints() -%}\n  {{ adapter.dispatch('get_table_columns_and_constraints', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6923058, "supported_languages": null}, "macro.dbt.default__get_table_columns_and_constraints": {"name": "default__get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_table_columns_and_constraints", "macro_sql": "{% macro default__get_table_columns_and_constraints() -%}\n  {{ return(table_columns_and_constraints()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6924312, "supported_languages": null}, "macro.dbt.table_columns_and_constraints": {"name": "table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.table_columns_and_constraints", "macro_sql": "{% macro table_columns_and_constraints() %}\n  {# loop through user_provided_columns to create DDL with data types and constraints #}\n    {%- set raw_column_constraints = adapter.render_raw_columns_constraints(raw_columns=model['columns']) -%}\n    {%- set raw_model_constraints = adapter.render_raw_model_constraints(raw_constraints=model['constraints']) -%}\n    (\n    {% for c in raw_column_constraints -%}\n      {{ c }}{{ \",\" if not loop.last or raw_model_constraints }}\n    {% endfor %}\n    {% for c in raw_model_constraints -%}\n        {{ c }}{{ \",\" if not loop.last }}\n    {% endfor -%}\n    )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.692966, "supported_languages": null}, "macro.dbt.get_assert_columns_equivalent": {"name": "get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_assert_columns_equivalent", "macro_sql": "\n\n{%- macro get_assert_columns_equivalent(sql) -%}\n  {{ adapter.dispatch('get_assert_columns_equivalent', 'dbt')(sql) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.693137, "supported_languages": null}, "macro.dbt.default__get_assert_columns_equivalent": {"name": "default__get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_assert_columns_equivalent", "macro_sql": "{% macro default__get_assert_columns_equivalent(sql) -%}\n  {{ return(assert_columns_equivalent(sql)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.69328, "supported_languages": null}, "macro.dbt.assert_columns_equivalent": {"name": "assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.assert_columns_equivalent", "macro_sql": "{% macro assert_columns_equivalent(sql) %}\n\n  {#-- First ensure the user has defined 'columns' in yaml specification --#}\n  {%- set user_defined_columns = model['columns'] -%}\n  {%- if not user_defined_columns -%}\n      {{ exceptions.raise_contract_error([], []) }}\n  {%- endif -%}\n\n  {#-- Obtain the column schema provided by sql file. #}\n  {%- set sql_file_provided_columns = get_column_schema_from_query(sql, config.get('sql_header', none)) -%}\n  {#--Obtain the column schema provided by the schema file by generating an 'empty schema' query from the model's columns. #}\n  {%- set schema_file_provided_columns = get_column_schema_from_query(get_empty_schema_sql(user_defined_columns)) -%}\n\n  {#-- create dictionaries with name and formatted data type and strings for exception #}\n  {%- set sql_columns = format_columns(sql_file_provided_columns) -%}\n  {%- set yaml_columns = format_columns(schema_file_provided_columns)  -%}\n\n  {%- if sql_columns|length != yaml_columns|length -%}\n    {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n  {%- endif -%}\n\n  {%- for sql_col in sql_columns -%}\n    {%- set yaml_col = [] -%}\n    {%- for this_col in yaml_columns -%}\n      {%- if this_col['name'] == sql_col['name'] -%}\n        {%- do yaml_col.append(this_col) -%}\n        {%- break -%}\n      {%- endif -%}\n    {%- endfor -%}\n    {%- if not yaml_col -%}\n      {#-- Column with name not found in yaml #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n    {%- if sql_col['formatted'] != yaml_col[0]['formatted'] -%}\n      {#-- Column data types don't match #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n  {%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_column_schema_from_query", "macro.dbt.get_empty_schema_sql", "macro.dbt.format_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.694602, "supported_languages": null}, "macro.dbt.format_columns": {"name": "format_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.format_columns", "macro_sql": "{% macro format_columns(columns) %}\n  {% set formatted_columns = [] %}\n  {% for column in columns %}\n    {%- set formatted_column = adapter.dispatch('format_column', 'dbt')(column) -%}\n    {%- do formatted_columns.append(formatted_column) -%}\n  {% endfor %}\n  {{ return(formatted_columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__format_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.695068, "supported_languages": null}, "macro.dbt.default__format_column": {"name": "default__format_column", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__format_column", "macro_sql": "{% macro default__format_column(column) -%}\n  {% set data_type = column.dtype %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.695434, "supported_languages": null}, "macro.dbt.materialization_table_default": {"name": "materialization_table_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/table.sql", "original_file_path": "macros/materializations/models/table/table.sql", "unique_id": "macro.dbt.materialization_table_default", "macro_sql": "{% materialization table, default %}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') %}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n      See ../view/view.sql for more information about this relation.\n  */\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_table_as_sql(False, intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  {% if existing_relation is not none %}\n    /* Do the equivalent of rename_if_exists */\n    {% set existing_relation = load_cached_relation(existing_relation) %}\n    {% if existing_relation is not none %}\n        {{ adapter.rename_relation(existing_relation, backup_relation) }}\n    {% endif %}\n  {% endif %}\n\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% do create_indexes(target_relation) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  -- finally, drop the existing/backup relation after the commit\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.get_create_table_as_sql", "macro.dbt.create_indexes", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6984499, "supported_languages": ["sql"]}, "macro.dbt.get_create_table_as_sql": {"name": "get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.get_create_table_as_sql", "macro_sql": "{% macro get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ adapter.dispatch('get_create_table_as_sql', 'dbt')(temporary, relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_table_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.699348, "supported_languages": null}, "macro.dbt.default__get_create_table_as_sql": {"name": "default__get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_create_table_as_sql", "macro_sql": "{% macro default__get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ return(create_table_as(temporary, relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.699543, "supported_languages": null}, "macro.dbt.create_table_as": {"name": "create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.create_table_as", "macro_sql": "{% macro create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {# backward compatibility for create_table_as that does not support language #}\n  {% if language == \"sql\" %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code)}}\n  {% else %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code, language) }}\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.6999848, "supported_languages": null}, "macro.dbt.default__create_table_as": {"name": "default__create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__create_table_as", "macro_sql": "{% macro default__create_table_as(temporary, relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create {% if temporary: -%}temporary{%- endif %} table\n    {{ relation.include(database=(not temporary), schema=(not temporary)) }}\n  {% set contract_config = config.get('contract') %}\n  {% if contract_config.enforced %}\n    {{ get_assert_columns_equivalent(sql) }}\n    {{ get_table_columns_and_constraints() }}\n    {%- set sql = get_select_subquery(sql) %}\n  {% endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.700664, "supported_languages": null}, "macro.dbt.default__get_column_names": {"name": "default__get_column_names", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_column_names", "macro_sql": "{% macro default__get_column_names() %}\n  {#- loop through user_provided_columns to get column names -#}\n    {%- set user_provided_columns = model['columns'] -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7011368, "supported_languages": null}, "macro.dbt.get_select_subquery": {"name": "get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.get_select_subquery", "macro_sql": "{% macro get_select_subquery(sql) %}\n  {{ return(adapter.dispatch('get_select_subquery', 'dbt')(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.701333, "supported_languages": null}, "macro.dbt.default__get_select_subquery": {"name": "default__get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_select_subquery", "macro_sql": "{% macro default__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names', 'dbt')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.701513, "supported_languages": null}, "macro.dbt.materialization_view_default": {"name": "materialization_view_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/view.sql", "original_file_path": "macros/materializations/models/view/view.sql", "unique_id": "macro.dbt.materialization_view_default", "macro_sql": "{%- materialization view, default -%}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='view') -%}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n     This relation (probably) doesn't exist yet. If it does exist, it's a leftover from\n     a previous run, and we're going to try to drop it immediately. At the end of this\n     materialization, we're going to rename the \"existing_relation\" to this identifier,\n     and then we're going to drop it. In order to make sure we run the correct one of:\n       - drop view ...\n       - drop table ...\n\n     We need to set the type of this relation to be the type of the existing_relation, if it exists,\n     or else \"view\" as a sane default if it does not. Note that if the existing_relation does not\n     exist, then there is nothing to move out of the way and subsequentally drop. In that case,\n     this relation will be effectively unused.\n  */\n  {%- set backup_relation_type = 'view' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  -- move the existing view out of the way\n  {% if existing_relation is not none %}\n    /* Do the equivalent of rename_if_exists */\n    {% set existing_relation = load_cached_relation(existing_relation) %}\n    {% if existing_relation is not none %}\n      {{ adapter.rename_relation(existing_relation, backup_relation) }}\n    {% endif %}\n  {% endif %}\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.run_hooks", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.704434, "supported_languages": ["sql"]}, "macro.dbt.handle_existing_table": {"name": "handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "unique_id": "macro.dbt.handle_existing_table", "macro_sql": "{% macro handle_existing_table(full_refresh, old_relation) %}\n    {{ adapter.dispatch('handle_existing_table', 'dbt')(full_refresh, old_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__handle_existing_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.704753, "supported_languages": null}, "macro.dbt.default__handle_existing_table": {"name": "default__handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "unique_id": "macro.dbt.default__handle_existing_table", "macro_sql": "{% macro default__handle_existing_table(full_refresh, old_relation) %}\n    {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.704984, "supported_languages": null}, "macro.dbt.create_or_replace_view": {"name": "create_or_replace_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_or_replace_view.sql", "original_file_path": "macros/materializations/models/view/create_or_replace_view.sql", "unique_id": "macro.dbt.create_or_replace_view", "macro_sql": "{% macro create_or_replace_view() %}\n  {%- set identifier = model['alias'] -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set target_relation = api.Relation.create(\n      identifier=identifier, schema=schema, database=database,\n      type='view') -%}\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  -- If there's a table with the same name and we weren't told to full refresh,\n  -- that's an error. If we were told to full refresh, drop it. This behavior differs\n  -- for Snowflake and BigQuery, so multiple dispatch is used.\n  {%- if old_relation is not none and old_relation.is_table -%}\n    {{ handle_existing_table(should_full_refresh(), old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(target_relation, sql) }}\n  {%- endcall %}\n\n  {% set should_revoke = should_revoke(exists_as_view, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.handle_existing_table", "macro.dbt.should_full_refresh", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.70652, "supported_languages": null}, "macro.dbt.get_create_view_as_sql": {"name": "get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.get_create_view_as_sql", "macro_sql": "{% macro get_create_view_as_sql(relation, sql) -%}\n  {{ adapter.dispatch('get_create_view_as_sql', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.706951, "supported_languages": null}, "macro.dbt.default__get_create_view_as_sql": {"name": "default__get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.default__get_create_view_as_sql", "macro_sql": "{% macro default__get_create_view_as_sql(relation, sql) -%}\n  {{ return(create_view_as(relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.707123, "supported_languages": null}, "macro.dbt.create_view_as": {"name": "create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.create_view_as", "macro_sql": "{% macro create_view_as(relation, sql) -%}\n  {{ adapter.dispatch('create_view_as', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.707307, "supported_languages": null}, "macro.dbt.default__create_view_as": {"name": "default__create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.default__create_view_as", "macro_sql": "{% macro default__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n  create view {{ relation }}\n    {% set contract_config = config.get('contract') %}\n    {% if contract_config.enforced %}\n      {{ get_assert_columns_equivalent(sql) }}\n    {%- endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.707741, "supported_languages": null}, "macro.dbt.materialization_seed_default": {"name": "materialization_seed_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/seed.sql", "original_file_path": "macros/materializations/seeds/seed.sql", "unique_id": "macro.dbt.materialization_seed_default", "macro_sql": "{% materialization seed, default %}\n\n  {%- set identifier = model['alias'] -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n\n  {%- set exists_as_table = (old_relation is not none and old_relation.is_table) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set grant_config = config.get('grants') -%}\n  {%- set agate_table = load_agate_table() -%}\n  -- grab current tables grants config for comparision later on\n\n  {%- do store_result('agate_table', response='OK', agate_table=agate_table) -%}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% set create_table_sql = \"\" %}\n  {% if exists_as_view %}\n    {{ exceptions.raise_compiler_error(\"Cannot seed to '{}', it is a view\".format(old_relation)) }}\n  {% elif exists_as_table %}\n    {% set create_table_sql = reset_csv_table(model, full_refresh_mode, old_relation, agate_table) %}\n  {% else %}\n    {% set create_table_sql = create_csv_table(model, agate_table) %}\n  {% endif %}\n\n  {% set code = 'CREATE' if full_refresh_mode else 'INSERT' %}\n  {% set rows_affected = (agate_table.rows | length) %}\n  {% set sql = load_csv_rows(model, agate_table) %}\n\n  {% call noop_statement('main', code ~ ' ' ~ rows_affected, code, rows_affected) %}\n    {{ get_csv_sql(create_table_sql, sql) }};\n  {% endcall %}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if full_refresh_mode or not exists_as_table %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.run_hooks", "macro.dbt.reset_csv_table", "macro.dbt.create_csv_table", "macro.dbt.load_csv_rows", "macro.dbt.noop_statement", "macro.dbt.get_csv_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7111208, "supported_languages": ["sql"]}, "macro.dbt.create_csv_table": {"name": "create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.create_csv_table", "macro_sql": "{% macro create_csv_table(model, agate_table) -%}\n  {{ adapter.dispatch('create_csv_table', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.716523, "supported_languages": null}, "macro.dbt.default__create_csv_table": {"name": "default__create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__create_csv_table", "macro_sql": "{% macro default__create_csv_table(model, agate_table) %}\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n\n  {% set sql %}\n    create table {{ this.render() }} (\n        {%- for col_name in agate_table.column_names -%}\n            {%- set inferred_type = adapter.convert_type(agate_table, loop.index0) -%}\n            {%- set type = column_override.get(col_name, inferred_type) -%}\n            {%- set column_name = (col_name | string) -%}\n            {{ adapter.quote_seed_column(column_name, quote_seed_column) }} {{ type }} {%- if not loop.last -%}, {%- endif -%}\n        {%- endfor -%}\n    )\n  {% endset %}\n\n  {% call statement('_') -%}\n    {{ sql }}\n  {%- endcall %}\n\n  {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7174551, "supported_languages": null}, "macro.dbt.reset_csv_table": {"name": "reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.reset_csv_table", "macro_sql": "{% macro reset_csv_table(model, full_refresh, old_relation, agate_table) -%}\n  {{ adapter.dispatch('reset_csv_table', 'dbt')(model, full_refresh, old_relation, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__reset_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.717697, "supported_languages": null}, "macro.dbt.default__reset_csv_table": {"name": "default__reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__reset_csv_table", "macro_sql": "{% macro default__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {% set sql = \"\" %}\n    {% if full_refresh %}\n        {{ adapter.drop_relation(old_relation) }}\n        {% set sql = create_csv_table(model, agate_table) %}\n    {% else %}\n        {{ adapter.truncate_relation(old_relation) }}\n        {% set sql = \"truncate table \" ~ old_relation %}\n    {% endif %}\n\n    {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.718186, "supported_languages": null}, "macro.dbt.get_csv_sql": {"name": "get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_csv_sql", "macro_sql": "{% macro get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ adapter.dispatch('get_csv_sql', 'dbt')(create_or_truncate_sql, insert_sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_csv_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.718384, "supported_languages": null}, "macro.dbt.default__get_csv_sql": {"name": "default__get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_csv_sql", "macro_sql": "{% macro default__get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ create_or_truncate_sql }};\n    -- dbt seed --\n    {{ insert_sql }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.718518, "supported_languages": null}, "macro.dbt.get_binding_char": {"name": "get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_binding_char", "macro_sql": "{% macro get_binding_char() -%}\n  {{ adapter.dispatch('get_binding_char', 'dbt')() }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.71866, "supported_languages": null}, "macro.dbt.default__get_binding_char": {"name": "default__get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_binding_char", "macro_sql": "{% macro default__get_binding_char() %}\n  {{ return('%s') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7187798, "supported_languages": null}, "macro.dbt.get_batch_size": {"name": "get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_batch_size", "macro_sql": "{% macro get_batch_size() -%}\n  {{ return(adapter.dispatch('get_batch_size', 'dbt')()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_batch_size"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.718945, "supported_languages": null}, "macro.dbt.default__get_batch_size": {"name": "default__get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_batch_size", "macro_sql": "{% macro default__get_batch_size() %}\n  {{ return(10000) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.719063, "supported_languages": null}, "macro.dbt.get_seed_column_quoted_csv": {"name": "get_seed_column_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_seed_column_quoted_csv", "macro_sql": "{% macro get_seed_column_quoted_csv(model, column_names) %}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote_seed_column(col, quote_seed_column)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.719543, "supported_languages": null}, "macro.dbt.load_csv_rows": {"name": "load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.load_csv_rows", "macro_sql": "{% macro load_csv_rows(model, agate_table) -%}\n  {{ adapter.dispatch('load_csv_rows', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__load_csv_rows"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7197309, "supported_languages": null}, "macro.dbt.default__load_csv_rows": {"name": "default__load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__load_csv_rows", "macro_sql": "{% macro default__load_csv_rows(model, agate_table) %}\n\n  {% set batch_size = get_batch_size() %}\n\n  {% set cols_sql = get_seed_column_quoted_csv(model, agate_table.column_names) %}\n  {% set bindings = [] %}\n\n  {% set statements = [] %}\n\n  {% for chunk in agate_table.rows | batch(batch_size) %}\n      {% set bindings = [] %}\n\n      {% for row in chunk %}\n          {% do bindings.extend(row) %}\n      {% endfor %}\n\n      {% set sql %}\n          insert into {{ this.render() }} ({{ cols_sql }}) values\n          {% for row in chunk -%}\n              ({%- for column in agate_table.column_names -%}\n                  {{ get_binding_char() }}\n                  {%- if not loop.last%},{%- endif %}\n              {%- endfor -%})\n              {%- if not loop.last%},{%- endif %}\n          {%- endfor %}\n      {% endset %}\n\n      {% do adapter.add_query(sql, bindings=bindings, abridge_sql_log=True) %}\n\n      {% if loop.index0 == 0 %}\n          {% do statements.append(sql) %}\n      {% endif %}\n  {% endfor %}\n\n  {# Return SQL so we can render it out into the compiled files #}\n  {{ return(statements[0]) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_batch_size", "macro.dbt.get_seed_column_quoted_csv", "macro.dbt.get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.721042, "supported_languages": null}, "macro.dbt.generate_alias_name": {"name": "generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.generate_alias_name", "macro_sql": "{% macro generate_alias_name(custom_alias_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_alias_name', 'dbt')(custom_alias_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_alias_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.72148, "supported_languages": null}, "macro.dbt.default__generate_alias_name": {"name": "default__generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.default__generate_alias_name", "macro_sql": "{% macro default__generate_alias_name(custom_alias_name=none, node=none) -%}\n\n    {%- if custom_alias_name -%}\n\n        {{ custom_alias_name | trim }}\n\n    {%- elif node.version -%}\n\n        {{ return(node.name ~ \"_v\" ~ (node.version | replace(\".\", \"_\"))) }}\n\n    {%- else -%}\n\n        {{ node.name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7218702, "supported_languages": null}, "macro.dbt.generate_schema_name": {"name": "generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name", "macro_sql": "{% macro generate_schema_name(custom_schema_name=none, node=none) -%}\n    {{ return(adapter.dispatch('generate_schema_name', 'dbt')(custom_schema_name, node)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7224, "supported_languages": null}, "macro.dbt.default__generate_schema_name": {"name": "default__generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.default__generate_schema_name", "macro_sql": "{% macro default__generate_schema_name(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if custom_schema_name is none -%}\n\n        {{ default_schema }}\n\n    {%- else -%}\n\n        {{ default_schema }}_{{ custom_schema_name | trim }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.722666, "supported_languages": null}, "macro.dbt.generate_schema_name_for_env": {"name": "generate_schema_name_for_env", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name_for_env", "macro_sql": "{% macro generate_schema_name_for_env(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if target.name == 'prod' and custom_schema_name is not none -%}\n\n        {{ custom_schema_name | trim }}\n\n    {%- else -%}\n\n        {{ default_schema }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7229528, "supported_languages": null}, "macro.dbt.generate_database_name": {"name": "generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.generate_database_name", "macro_sql": "{% macro generate_database_name(custom_database_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_database_name', 'dbt')(custom_database_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_database_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.723358, "supported_languages": null}, "macro.dbt.default__generate_database_name": {"name": "default__generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.default__generate_database_name", "macro_sql": "{% macro default__generate_database_name(custom_database_name=none, node=none) -%}\n    {%- set default_database = target.database -%}\n    {%- if custom_database_name is none -%}\n\n        {{ default_database }}\n\n    {%- else -%}\n\n        {{ custom_database_name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.723615, "supported_languages": null}, "macro.dbt.default__test_relationships": {"name": "default__test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/relationships.sql", "original_file_path": "macros/generic_test_sql/relationships.sql", "unique_id": "macro.dbt.default__test_relationships", "macro_sql": "{% macro default__test_relationships(model, column_name, to, field) %}\n\nwith child as (\n    select {{ column_name }} as from_field\n    from {{ model }}\n    where {{ column_name }} is not null\n),\n\nparent as (\n    select {{ field }} as to_field\n    from {{ to }}\n)\n\nselect\n    from_field\n\nfrom child\nleft join parent\n    on child.from_field = parent.to_field\n\nwhere parent.to_field is null\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.723966, "supported_languages": null}, "macro.dbt.default__test_not_null": {"name": "default__test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/not_null.sql", "original_file_path": "macros/generic_test_sql/not_null.sql", "unique_id": "macro.dbt.default__test_not_null", "macro_sql": "{% macro default__test_not_null(model, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else column_name %}\n\nselect {{ column_list }}\nfrom {{ model }}\nwhere {{ column_name }} is null\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7242649, "supported_languages": null}, "macro.dbt.default__test_unique": {"name": "default__test_unique", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/unique.sql", "original_file_path": "macros/generic_test_sql/unique.sql", "unique_id": "macro.dbt.default__test_unique", "macro_sql": "{% macro default__test_unique(model, column_name) %}\n\nselect\n    {{ column_name }} as unique_field,\n    count(*) as n_records\n\nfrom {{ model }}\nwhere {{ column_name }} is not null\ngroup by {{ column_name }}\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.724521, "supported_languages": null}, "macro.dbt.default__test_accepted_values": {"name": "default__test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/accepted_values.sql", "original_file_path": "macros/generic_test_sql/accepted_values.sql", "unique_id": "macro.dbt.default__test_accepted_values", "macro_sql": "{% macro default__test_accepted_values(model, column_name, values, quote=True) %}\n\nwith all_values as (\n\n    select\n        {{ column_name }} as value_field,\n        count(*) as n_records\n\n    from {{ model }}\n    group by {{ column_name }}\n\n)\n\nselect *\nfrom all_values\nwhere value_field not in (\n    {% for value in values -%}\n        {% if quote -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n    {%- endfor %}\n)\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7251, "supported_languages": null}, "macro.dbt.statement": {"name": "statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.statement", "macro_sql": "\n{%- macro statement(name=None, fetch_result=False, auto_begin=True, language='sql') -%}\n  {%- if execute: -%}\n    {%- set compiled_code = caller() -%}\n\n    {%- if name == 'main' -%}\n      {{ log('Writing runtime {} for node \"{}\"'.format(language, model['unique_id'])) }}\n      {{ write(compiled_code) }}\n    {%- endif -%}\n    {%- if language == 'sql'-%}\n      {%- set res, table = adapter.execute(compiled_code, auto_begin=auto_begin, fetch=fetch_result) -%}\n    {%- elif language == 'python' -%}\n      {%- set res = submit_python_job(model, compiled_code) -%}\n      {#-- TODO: What should table be for python models? --#}\n      {%- set table = None -%}\n    {%- else -%}\n      {% do exceptions.raise_compiler_error(\"statement macro didn't get supported language\") %}\n    {%- endif -%}\n\n    {%- if name is not none -%}\n      {{ store_result(name, response=res, agate_table=table) }}\n    {%- endif -%}\n\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.726604, "supported_languages": null}, "macro.dbt.noop_statement": {"name": "noop_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.noop_statement", "macro_sql": "{% macro noop_statement(name=None, message=None, code=None, rows_affected=None, res=None) -%}\n  {%- set sql = caller() -%}\n\n  {%- if name == 'main' -%}\n    {{ log('Writing runtime SQL for node \"{}\"'.format(model['unique_id'])) }}\n    {{ write(sql) }}\n  {%- endif -%}\n\n  {%- if name is not none -%}\n    {{ store_raw_result(name, message=message, code=code, rows_affected=rows_affected, agate_table=res) }}\n  {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7272499, "supported_languages": null}, "macro.dbt.run_query": {"name": "run_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.run_query", "macro_sql": "{% macro run_query(sql) %}\n  {% call statement(\"run_query_statement\", fetch_result=true, auto_begin=false) %}\n    {{ sql }}\n  {% endcall %}\n\n  {% do return(load_result(\"run_query_statement\").table) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.72755, "supported_languages": null}, "macro.dbt.convert_datetime": {"name": "convert_datetime", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.convert_datetime", "macro_sql": "{% macro convert_datetime(date_str, date_fmt) %}\n\n  {% set error_msg -%}\n      The provided partition date '{{ date_str }}' does not match the expected format '{{ date_fmt }}'\n  {%- endset %}\n\n  {% set res = try_or_compiler_error(error_msg, modules.datetime.datetime.strptime, date_str.strip(), date_fmt) %}\n  {{ return(res) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7295392, "supported_languages": null}, "macro.dbt.dates_in_range": {"name": "dates_in_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.dates_in_range", "macro_sql": "{% macro dates_in_range(start_date_str, end_date_str=none, in_fmt=\"%Y%m%d\", out_fmt=\"%Y%m%d\") %}\n    {% set end_date_str = start_date_str if end_date_str is none else end_date_str %}\n\n    {% set start_date = convert_datetime(start_date_str, in_fmt) %}\n    {% set end_date = convert_datetime(end_date_str, in_fmt) %}\n\n    {% set day_count = (end_date - start_date).days %}\n    {% if day_count < 0 %}\n        {% set msg -%}\n            Partiton start date is after the end date ({{ start_date }}, {{ end_date }})\n        {%- endset %}\n\n        {{ exceptions.raise_compiler_error(msg, model) }}\n    {% endif %}\n\n    {% set date_list = [] %}\n    {% for i in range(0, day_count + 1) %}\n        {% set the_date = (modules.datetime.timedelta(days=i) + start_date) %}\n        {% if not out_fmt %}\n            {% set _ = date_list.append(the_date) %}\n        {% else %}\n            {% set _ = date_list.append(the_date.strftime(out_fmt)) %}\n        {% endif %}\n    {% endfor %}\n\n    {{ return(date_list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.convert_datetime"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7307892, "supported_languages": null}, "macro.dbt.partition_range": {"name": "partition_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.partition_range", "macro_sql": "{% macro partition_range(raw_partition_date, date_fmt='%Y%m%d') %}\n    {% set partition_range = (raw_partition_date | string).split(\",\") %}\n\n    {% if (partition_range | length) == 1 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = none %}\n    {% elif (partition_range | length) == 2 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = partition_range[1] %}\n    {% else %}\n      {{ exceptions.raise_compiler_error(\"Invalid partition time. Expected format: {Start Date}[,{End Date}]. Got: \" ~ raw_partition_date) }}\n    {% endif %}\n\n    {{ return(dates_in_range(start_date, end_date, in_fmt=date_fmt)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dates_in_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.731571, "supported_languages": null}, "macro.dbt.py_current_timestring": {"name": "py_current_timestring", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.py_current_timestring", "macro_sql": "{% macro py_current_timestring() %}\n    {% set dt = modules.datetime.datetime.now() %}\n    {% do return(dt.strftime(\"%Y%m%d%H%M%S%f\")) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.731822, "supported_languages": null}, "macro.dbt.except": {"name": "except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.except", "macro_sql": "{% macro except() %}\n  {{ return(adapter.dispatch('except', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.73207, "supported_languages": null}, "macro.dbt.default__except": {"name": "default__except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.default__except", "macro_sql": "{% macro default__except() %}\n\n    except\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.73215, "supported_languages": null}, "macro.dbt.replace": {"name": "replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.replace", "macro_sql": "{% macro replace(field, old_chars, new_chars) -%}\n    {{ return(adapter.dispatch('replace', 'dbt') (field, old_chars, new_chars)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__replace"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.732494, "supported_languages": null}, "macro.dbt.default__replace": {"name": "default__replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.default__replace", "macro_sql": "{% macro default__replace(field, old_chars, new_chars) %}\n\n    replace(\n        {{ field }},\n        {{ old_chars }},\n        {{ new_chars }}\n    )\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.732667, "supported_languages": null}, "macro.dbt.concat": {"name": "concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.concat", "macro_sql": "{% macro concat(fields) -%}\n  {{ return(adapter.dispatch('concat', 'dbt')(fields)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7329228, "supported_languages": null}, "macro.dbt.default__concat": {"name": "default__concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.default__concat", "macro_sql": "{% macro default__concat(fields) -%}\n    {{ fields|join(' || ') }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.733052, "supported_languages": null}, "macro.dbt.length": {"name": "length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.length", "macro_sql": "{% macro length(expression) -%}\n    {{ return(adapter.dispatch('length', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__length"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7333188, "supported_languages": null}, "macro.dbt.default__length": {"name": "default__length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.default__length", "macro_sql": "{% macro default__length(expression) %}\n\n    length(\n        {{ expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.733429, "supported_languages": null}, "macro.dbt.dateadd": {"name": "dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.dateadd", "macro_sql": "{% macro dateadd(datepart, interval, from_date_or_timestamp) %}\n  {{ return(adapter.dispatch('dateadd', 'dbt')(datepart, interval, from_date_or_timestamp)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.733828, "supported_languages": null}, "macro.dbt.default__dateadd": {"name": "default__dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.default__dateadd", "macro_sql": "{% macro default__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_date_or_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.733999, "supported_languages": null}, "macro.dbt.intersect": {"name": "intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.intersect", "macro_sql": "{% macro intersect() %}\n  {{ return(adapter.dispatch('intersect', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__intersect"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7342348, "supported_languages": null}, "macro.dbt.default__intersect": {"name": "default__intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.default__intersect", "macro_sql": "{% macro default__intersect() %}\n\n    intersect\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.734314, "supported_languages": null}, "macro.dbt.escape_single_quotes": {"name": "escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.escape_single_quotes", "macro_sql": "{% macro escape_single_quotes(expression) %}\n      {{ return(adapter.dispatch('escape_single_quotes', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__escape_single_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.734702, "supported_languages": null}, "macro.dbt.default__escape_single_quotes": {"name": "default__escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.default__escape_single_quotes", "macro_sql": "{% macro default__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\",\"''\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.734879, "supported_languages": null}, "macro.dbt.right": {"name": "right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.right", "macro_sql": "{% macro right(string_text, length_expression) -%}\n    {{ return(adapter.dispatch('right', 'dbt') (string_text, length_expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__right"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.735231, "supported_languages": null}, "macro.dbt.default__right": {"name": "default__right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.default__right", "macro_sql": "{% macro default__right(string_text, length_expression) %}\n\n    right(\n        {{ string_text }},\n        {{ length_expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.735481, "supported_languages": null}, "macro.dbt.listagg": {"name": "listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.listagg", "macro_sql": "{% macro listagg(measure, delimiter_text=\"','\", order_by_clause=none, limit_num=none) -%}\n    {{ return(adapter.dispatch('listagg', 'dbt') (measure, delimiter_text, order_by_clause, limit_num)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__listagg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.736196, "supported_languages": null}, "macro.dbt.default__listagg": {"name": "default__listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.default__listagg", "macro_sql": "{% macro default__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    {% if limit_num -%}\n    array_to_string(\n        array_slice(\n            array_agg(\n                {{ measure }}\n            ){% if order_by_clause -%}\n            within group ({{ order_by_clause }})\n            {%- endif %}\n            ,0\n            ,{{ limit_num }}\n        ),\n        {{ delimiter_text }}\n        )\n    {%- else %}\n    listagg(\n        {{ measure }},\n        {{ delimiter_text }}\n        )\n        {% if order_by_clause -%}\n        within group ({{ order_by_clause }})\n        {%- endif %}\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7366421, "supported_languages": null}, "macro.dbt.datediff": {"name": "datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.datediff", "macro_sql": "{% macro datediff(first_date, second_date, datepart) %}\n  {{ return(adapter.dispatch('datediff', 'dbt')(first_date, second_date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7370172, "supported_languages": null}, "macro.dbt.default__datediff": {"name": "default__datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.default__datediff", "macro_sql": "{% macro default__datediff(first_date, second_date, datepart) -%}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7371972, "supported_languages": null}, "macro.dbt.safe_cast": {"name": "safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.safe_cast", "macro_sql": "{% macro safe_cast(field, type) %}\n  {{ return(adapter.dispatch('safe_cast', 'dbt') (field, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__safe_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.73751, "supported_languages": null}, "macro.dbt.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.737661, "supported_languages": null}, "macro.dbt.hash": {"name": "hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.hash", "macro_sql": "{% macro hash(field) -%}\n  {{ return(adapter.dispatch('hash', 'dbt') (field)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.73794, "supported_languages": null}, "macro.dbt.default__hash": {"name": "default__hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.default__hash", "macro_sql": "{% macro default__hash(field) -%}\n    md5(cast({{ field }} as {{ api.Column.translate_type('string') }}))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.738114, "supported_languages": null}, "macro.dbt.cast_bool_to_text": {"name": "cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.cast_bool_to_text", "macro_sql": "{% macro cast_bool_to_text(field) %}\n  {{ adapter.dispatch('cast_bool_to_text', 'dbt') (field) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.738378, "supported_languages": null}, "macro.dbt.default__cast_bool_to_text": {"name": "default__cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.default__cast_bool_to_text", "macro_sql": "{% macro default__cast_bool_to_text(field) %}\n    cast({{ field }} as {{ api.Column.translate_type('string') }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.738553, "supported_languages": null}, "macro.dbt.any_value": {"name": "any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.any_value", "macro_sql": "{% macro any_value(expression) -%}\n    {{ return(adapter.dispatch('any_value', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__any_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.738826, "supported_languages": null}, "macro.dbt.default__any_value": {"name": "default__any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.default__any_value", "macro_sql": "{% macro default__any_value(expression) -%}\n\n    any_value({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.738942, "supported_languages": null}, "macro.dbt.position": {"name": "position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.position", "macro_sql": "{% macro position(substring_text, string_text) -%}\n    {{ return(adapter.dispatch('position', 'dbt') (substring_text, string_text)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__position"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7392519, "supported_languages": null}, "macro.dbt.default__position": {"name": "default__position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.default__position", "macro_sql": "{% macro default__position(substring_text, string_text) %}\n\n    position(\n        {{ substring_text }} in {{ string_text }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.739398, "supported_languages": null}, "macro.dbt.string_literal": {"name": "string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.string_literal", "macro_sql": "{%- macro string_literal(value) -%}\n  {{ return(adapter.dispatch('string_literal', 'dbt') (value)) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__string_literal"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7396622, "supported_languages": null}, "macro.dbt.default__string_literal": {"name": "default__string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.default__string_literal", "macro_sql": "{% macro default__string_literal(value) -%}\n    '{{ value }}'\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.739778, "supported_languages": null}, "macro.dbt.type_string": {"name": "type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_string", "macro_sql": "\n\n{%- macro type_string() -%}\n  {{ return(adapter.dispatch('type_string', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.740788, "supported_languages": null}, "macro.dbt.default__type_string": {"name": "default__type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_string", "macro_sql": "{% macro default__type_string() %}\n    {{ return(api.Column.translate_type(\"string\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.740951, "supported_languages": null}, "macro.dbt.type_timestamp": {"name": "type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_timestamp", "macro_sql": "\n\n{%- macro type_timestamp() -%}\n  {{ return(adapter.dispatch('type_timestamp', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.741201, "supported_languages": null}, "macro.dbt.default__type_timestamp": {"name": "default__type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() %}\n    {{ return(api.Column.translate_type(\"timestamp\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.741364, "supported_languages": null}, "macro.dbt.type_float": {"name": "type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_float", "macro_sql": "\n\n{%- macro type_float() -%}\n  {{ return(adapter.dispatch('type_float', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_float"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.741537, "supported_languages": null}, "macro.dbt.default__type_float": {"name": "default__type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_float", "macro_sql": "{% macro default__type_float() %}\n    {{ return(api.Column.translate_type(\"float\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.741699, "supported_languages": null}, "macro.dbt.type_numeric": {"name": "type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_numeric", "macro_sql": "\n\n{%- macro type_numeric() -%}\n  {{ return(adapter.dispatch('type_numeric', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7418618, "supported_languages": null}, "macro.dbt.default__type_numeric": {"name": "default__type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_numeric", "macro_sql": "{% macro default__type_numeric() %}\n    {{ return(api.Column.numeric_type(\"numeric\", 28, 6)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7420459, "supported_languages": null}, "macro.dbt.type_bigint": {"name": "type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_bigint", "macro_sql": "\n\n{%- macro type_bigint() -%}\n  {{ return(adapter.dispatch('type_bigint', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.742211, "supported_languages": null}, "macro.dbt.default__type_bigint": {"name": "default__type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_bigint", "macro_sql": "{% macro default__type_bigint() %}\n    {{ return(api.Column.translate_type(\"bigint\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.742367, "supported_languages": null}, "macro.dbt.type_int": {"name": "type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_int", "macro_sql": "\n\n{%- macro type_int() -%}\n  {{ return(adapter.dispatch('type_int', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.74253, "supported_languages": null}, "macro.dbt.default__type_int": {"name": "default__type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_int", "macro_sql": "{%- macro default__type_int() -%}\n  {{ return(api.Column.translate_type(\"integer\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.742677, "supported_languages": null}, "macro.dbt.type_boolean": {"name": "type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_boolean", "macro_sql": "\n\n{%- macro type_boolean() -%}\n  {{ return(adapter.dispatch('type_boolean', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_boolean"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.742841, "supported_languages": null}, "macro.dbt.default__type_boolean": {"name": "default__type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_boolean", "macro_sql": "{%- macro default__type_boolean() -%}\n  {{ return(api.Column.translate_type(\"boolean\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.742987, "supported_languages": null}, "macro.dbt.array_concat": {"name": "array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.array_concat", "macro_sql": "{% macro array_concat(array_1, array_2) -%}\n  {{ return(adapter.dispatch('array_concat', 'dbt')(array_1, array_2)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__array_concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7432761, "supported_languages": null}, "macro.dbt.default__array_concat": {"name": "default__array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.default__array_concat", "macro_sql": "{% macro default__array_concat(array_1, array_2) -%}\n    array_cat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.743419, "supported_languages": null}, "macro.dbt.bool_or": {"name": "bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.bool_or", "macro_sql": "{% macro bool_or(expression) -%}\n    {{ return(adapter.dispatch('bool_or', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__bool_or"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7436721, "supported_languages": null}, "macro.dbt.default__bool_or": {"name": "default__bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.default__bool_or", "macro_sql": "{% macro default__bool_or(expression) -%}\n\n    bool_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.743778, "supported_languages": null}, "macro.dbt.last_day": {"name": "last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.last_day", "macro_sql": "{% macro last_day(date, datepart) %}\n  {{ return(adapter.dispatch('last_day', 'dbt') (date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.744123, "supported_languages": null}, "macro.dbt.default_last_day": {"name": "default_last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default_last_day", "macro_sql": "\n\n{%- macro default_last_day(date, datepart) -%}\n    cast(\n        {{dbt.dateadd('day', '-1',\n        dbt.dateadd(datepart, '1', dbt.date_trunc(datepart, date))\n        )}}\n        as date)\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.744406, "supported_languages": null}, "macro.dbt.default__last_day": {"name": "default__last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default__last_day", "macro_sql": "{% macro default__last_day(date, datepart) -%}\n    {{dbt.default_last_day(date, datepart)}}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7445629, "supported_languages": null}, "macro.dbt.split_part": {"name": "split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.split_part", "macro_sql": "{% macro split_part(string_text, delimiter_text, part_number) %}\n  {{ return(adapter.dispatch('split_part', 'dbt') (string_text, delimiter_text, part_number)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7451048, "supported_languages": null}, "macro.dbt.default__split_part": {"name": "default__split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.default__split_part", "macro_sql": "{% macro default__split_part(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n        {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.74527, "supported_languages": null}, "macro.dbt._split_part_negative": {"name": "_split_part_negative", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt._split_part_negative", "macro_sql": "{% macro _split_part_negative(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 2 {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.745565, "supported_languages": null}, "macro.dbt.date_trunc": {"name": "date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.date_trunc", "macro_sql": "{% macro date_trunc(datepart, date) -%}\n  {{ return(adapter.dispatch('date_trunc', 'dbt') (datepart, date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.745846, "supported_languages": null}, "macro.dbt.default__date_trunc": {"name": "default__date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.default__date_trunc", "macro_sql": "{% macro default__date_trunc(datepart, date) -%}\n    date_trunc('{{datepart}}', {{date}})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.745978, "supported_languages": null}, "macro.dbt.array_construct": {"name": "array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.array_construct", "macro_sql": "{% macro array_construct(inputs=[], data_type=api.Column.translate_type('integer')) -%}\n  {{ return(adapter.dispatch('array_construct', 'dbt')(inputs, data_type)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.74636, "supported_languages": null}, "macro.dbt.default__array_construct": {"name": "default__array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.default__array_construct", "macro_sql": "{% macro default__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    array[ {{ inputs|join(' , ') }} ]\n    {% else %}\n    array[]::{{data_type}}[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.746609, "supported_languages": null}, "macro.dbt.array_append": {"name": "array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.array_append", "macro_sql": "{% macro array_append(array, new_element) -%}\n  {{ return(adapter.dispatch('array_append', 'dbt')(array, new_element)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__array_append"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.746897, "supported_languages": null}, "macro.dbt.default__array_append": {"name": "default__array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.default__array_append", "macro_sql": "{% macro default__array_append(array, new_element) -%}\n    array_append({{ array }}, {{ new_element }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7470348, "supported_languages": null}, "macro.dbt.create_schema": {"name": "create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.create_schema", "macro_sql": "{% macro create_schema(relation) -%}\n  {{ adapter.dispatch('create_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__create_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.747422, "supported_languages": null}, "macro.dbt.default__create_schema": {"name": "default__create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__create_schema", "macro_sql": "{% macro default__create_schema(relation) -%}\n  {%- call statement('create_schema') -%}\n    create schema if not exists {{ relation.without_identifier() }}\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.74761, "supported_languages": null}, "macro.dbt.drop_schema": {"name": "drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.drop_schema", "macro_sql": "{% macro drop_schema(relation) -%}\n  {{ adapter.dispatch('drop_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__drop_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.747777, "supported_languages": null}, "macro.dbt.default__drop_schema": {"name": "default__drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__drop_schema", "macro_sql": "{% macro default__drop_schema(relation) -%}\n  {%- call statement('drop_schema') -%}\n    drop schema if exists {{ relation.without_identifier() }} cascade\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.74796, "supported_languages": null}, "macro.dbt.current_timestamp": {"name": "current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp", "macro_sql": "{%- macro current_timestamp() -%}\n    {{ adapter.dispatch('current_timestamp', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_postgres.postgres__current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7484522, "supported_languages": null}, "macro.dbt.default__current_timestamp": {"name": "default__current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp", "macro_sql": "{% macro default__current_timestamp() -%}\n  {{ exceptions.raise_not_implemented(\n    'current_timestamp macro not implemented for adapter ' + adapter.type()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.748607, "supported_languages": null}, "macro.dbt.snapshot_get_time": {"name": "snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.snapshot_get_time", "macro_sql": "\n\n{%- macro snapshot_get_time() -%}\n    {{ adapter.dispatch('snapshot_get_time', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_postgres.postgres__snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7487528, "supported_languages": null}, "macro.dbt.default__snapshot_get_time": {"name": "default__snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__snapshot_get_time", "macro_sql": "{% macro default__snapshot_get_time() %}\n    {{ current_timestamp() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7488582, "supported_languages": null}, "macro.dbt.current_timestamp_backcompat": {"name": "current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_backcompat", "macro_sql": "{% macro current_timestamp_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.749027, "supported_languages": null}, "macro.dbt.default__current_timestamp_backcompat": {"name": "default__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_backcompat", "macro_sql": "{% macro default__current_timestamp_backcompat() %}\n    current_timestamp::timestamp\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.749103, "supported_languages": null}, "macro.dbt.current_timestamp_in_utc_backcompat": {"name": "current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_in_utc_backcompat", "macro_sql": "{% macro current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_in_utc_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__current_timestamp_in_utc_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.749279, "supported_languages": null}, "macro.dbt.default__current_timestamp_in_utc_backcompat": {"name": "default__current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_in_utc_backcompat", "macro_sql": "{% macro default__current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp_backcompat", "macro.dbt_postgres.postgres__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.749451, "supported_languages": null}, "macro.dbt.get_create_index_sql": {"name": "get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_create_index_sql", "macro_sql": "{% macro get_create_index_sql(relation, index_dict) -%}\n  {{ return(adapter.dispatch('get_create_index_sql', 'dbt')(relation, index_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__get_create_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.74992, "supported_languages": null}, "macro.dbt.default__get_create_index_sql": {"name": "default__get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_create_index_sql", "macro_sql": "{% macro default__get_create_index_sql(relation, index_dict) -%}\n  {% do return(None) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7501178, "supported_languages": null}, "macro.dbt.create_indexes": {"name": "create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.create_indexes", "macro_sql": "{% macro create_indexes(relation) -%}\n  {{ adapter.dispatch('create_indexes', 'dbt')(relation) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7502851, "supported_languages": null}, "macro.dbt.default__create_indexes": {"name": "default__create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__create_indexes", "macro_sql": "{% macro default__create_indexes(relation) -%}\n  {%- set _indexes = config.get('indexes', default=[]) -%}\n\n  {% for _index_dict in _indexes %}\n    {% set create_index_sql = get_create_index_sql(relation, _index_dict) %}\n    {% if create_index_sql %}\n      {% do run_query(create_index_sql) %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_create_index_sql", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.750697, "supported_languages": null}, "macro.dbt.make_intermediate_relation": {"name": "make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_intermediate_relation", "macro_sql": "{% macro make_intermediate_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_intermediate_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__make_intermediate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.754146, "supported_languages": null}, "macro.dbt.default__make_intermediate_relation": {"name": "default__make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_intermediate_relation", "macro_sql": "{% macro default__make_intermediate_relation(base_relation, suffix) %}\n    {{ return(default__make_temp_relation(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7543209, "supported_languages": null}, "macro.dbt.make_temp_relation": {"name": "make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_temp_relation", "macro_sql": "{% macro make_temp_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_temp_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.754551, "supported_languages": null}, "macro.dbt.default__make_temp_relation": {"name": "default__make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_temp_relation", "macro_sql": "{% macro default__make_temp_relation(base_relation, suffix) %}\n    {%- set temp_identifier = base_relation.identifier ~ suffix -%}\n    {%- set temp_relation = base_relation.incorporate(\n                                path={\"identifier\": temp_identifier}) -%}\n\n    {{ return(temp_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.754847, "supported_languages": null}, "macro.dbt.make_backup_relation": {"name": "make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_backup_relation", "macro_sql": "{% macro make_backup_relation(base_relation, backup_relation_type, suffix='__dbt_backup') %}\n    {{ return(adapter.dispatch('make_backup_relation', 'dbt')(base_relation, backup_relation_type, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__make_backup_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.755093, "supported_languages": null}, "macro.dbt.default__make_backup_relation": {"name": "default__make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_backup_relation", "macro_sql": "{% macro default__make_backup_relation(base_relation, backup_relation_type, suffix) %}\n    {%- set backup_identifier = base_relation.identifier ~ suffix -%}\n    {%- set backup_relation = base_relation.incorporate(\n                                  path={\"identifier\": backup_identifier},\n                                  type=backup_relation_type\n    ) -%}\n    {{ return(backup_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.755425, "supported_languages": null}, "macro.dbt.drop_relation": {"name": "drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.drop_relation", "macro_sql": "{% macro drop_relation(relation) -%}\n  {{ return(adapter.dispatch('drop_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7556229, "supported_languages": null}, "macro.dbt.default__drop_relation": {"name": "default__drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__drop_relation", "macro_sql": "{% macro default__drop_relation(relation) -%}\n  {% call statement('drop_relation', auto_begin=False) -%}\n    drop {{ relation.type }} if exists {{ relation }} cascade\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7558458, "supported_languages": null}, "macro.dbt.truncate_relation": {"name": "truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.truncate_relation", "macro_sql": "{% macro truncate_relation(relation) -%}\n  {{ return(adapter.dispatch('truncate_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__truncate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.756029, "supported_languages": null}, "macro.dbt.default__truncate_relation": {"name": "default__truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__truncate_relation", "macro_sql": "{% macro default__truncate_relation(relation) -%}\n  {% call statement('truncate_relation') -%}\n    truncate table {{ relation }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.756194, "supported_languages": null}, "macro.dbt.rename_relation": {"name": "rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.rename_relation", "macro_sql": "{% macro rename_relation(from_relation, to_relation) -%}\n  {{ return(adapter.dispatch('rename_relation', 'dbt')(from_relation, to_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__rename_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.756397, "supported_languages": null}, "macro.dbt.default__rename_relation": {"name": "default__rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__rename_relation", "macro_sql": "{% macro default__rename_relation(from_relation, to_relation) -%}\n  {% set target_name = adapter.quote_as_configured(to_relation.identifier, 'identifier') %}\n  {% call statement('rename_relation') -%}\n    alter table {{ from_relation }} rename to {{ target_name }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.756684, "supported_languages": null}, "macro.dbt.get_or_create_relation": {"name": "get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.get_or_create_relation", "macro_sql": "{% macro get_or_create_relation(database, schema, identifier, type) -%}\n  {{ return(adapter.dispatch('get_or_create_relation', 'dbt')(database, schema, identifier, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_or_create_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.756934, "supported_languages": null}, "macro.dbt.default__get_or_create_relation": {"name": "default__get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__get_or_create_relation", "macro_sql": "{% macro default__get_or_create_relation(database, schema, identifier, type) %}\n  {%- set target_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n\n  {% if target_relation %}\n    {% do return([true, target_relation]) %}\n  {% endif %}\n\n  {%- set new_relation = api.Relation.create(\n      database=database,\n      schema=schema,\n      identifier=identifier,\n      type=type\n  ) -%}\n  {% do return([false, new_relation]) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.757511, "supported_languages": null}, "macro.dbt.load_cached_relation": {"name": "load_cached_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_cached_relation", "macro_sql": "{% macro load_cached_relation(relation) %}\n  {% do return(adapter.get_relation(\n    database=relation.database,\n    schema=relation.schema,\n    identifier=relation.identifier\n  )) -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.757807, "supported_languages": null}, "macro.dbt.load_relation": {"name": "load_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_relation", "macro_sql": "{% macro load_relation(relation) %}\n    {{ return(load_cached_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.757953, "supported_languages": null}, "macro.dbt.drop_relation_if_exists": {"name": "drop_relation_if_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.drop_relation_if_exists", "macro_sql": "{% macro drop_relation_if_exists(relation) %}\n  {% if relation is not none %}\n    {{ adapter.drop_relation(relation) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7581499, "supported_languages": null}, "macro.dbt.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness', 'dbt')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.75858, "supported_languages": null}, "macro.dbt.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n    select\n      max({{ loaded_at_field }}) as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n    from {{ source }}\n    {% if filter %}\n    where {{ filter }}\n    {% endif %}\n  {% endcall %}\n  {{ return(load_result('collect_freshness')) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.758995, "supported_languages": null}, "macro.dbt.copy_grants": {"name": "copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.copy_grants", "macro_sql": "{% macro copy_grants() %}\n    {{ return(adapter.dispatch('copy_grants', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.760742, "supported_languages": null}, "macro.dbt.default__copy_grants": {"name": "default__copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__copy_grants", "macro_sql": "{% macro default__copy_grants() %}\n    {{ return(True) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.760861, "supported_languages": null}, "macro.dbt.support_multiple_grantees_per_dcl_statement": {"name": "support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.support_multiple_grantees_per_dcl_statement", "macro_sql": "{% macro support_multiple_grantees_per_dcl_statement() %}\n    {{ return(adapter.dispatch('support_multiple_grantees_per_dcl_statement', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.761033, "supported_languages": null}, "macro.dbt.default__support_multiple_grantees_per_dcl_statement": {"name": "default__support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__support_multiple_grantees_per_dcl_statement", "macro_sql": "\n\n{%- macro default__support_multiple_grantees_per_dcl_statement() -%}\n    {{ return(True) }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.761149, "supported_languages": null}, "macro.dbt.should_revoke": {"name": "should_revoke", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.should_revoke", "macro_sql": "{% macro should_revoke(existing_relation, full_refresh_mode=True) %}\n\n    {% if not existing_relation %}\n        {#-- The table doesn't already exist, so no grants to copy over --#}\n        {{ return(False) }}\n    {% elif full_refresh_mode %}\n        {#-- The object is being REPLACED -- whether grants are copied over depends on the value of user config --#}\n        {{ return(copy_grants()) }}\n    {% else %}\n        {#-- The table is being merged/upserted/inserted -- grants will be carried over --#}\n        {{ return(True) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.761503, "supported_languages": null}, "macro.dbt.get_show_grant_sql": {"name": "get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_show_grant_sql", "macro_sql": "{% macro get_show_grant_sql(relation) %}\n    {{ return(adapter.dispatch(\"get_show_grant_sql\", \"dbt\")(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__get_show_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.761696, "supported_languages": null}, "macro.dbt.default__get_show_grant_sql": {"name": "default__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_show_grant_sql", "macro_sql": "{% macro default__get_show_grant_sql(relation) %}\n    show grants on {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.761801, "supported_languages": null}, "macro.dbt.get_grant_sql": {"name": "get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_grant_sql", "macro_sql": "{% macro get_grant_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_grant_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.762033, "supported_languages": null}, "macro.dbt.default__get_grant_sql": {"name": "default__get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_grant_sql", "macro_sql": "\n\n{%- macro default__get_grant_sql(relation, privilege, grantees) -%}\n    grant {{ privilege }} on {{ relation }} to {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7622242, "supported_languages": null}, "macro.dbt.get_revoke_sql": {"name": "get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_revoke_sql", "macro_sql": "{% macro get_revoke_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_revoke_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_revoke_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.762455, "supported_languages": null}, "macro.dbt.default__get_revoke_sql": {"name": "default__get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_revoke_sql", "macro_sql": "\n\n{%- macro default__get_revoke_sql(relation, privilege, grantees) -%}\n    revoke {{ privilege }} on {{ relation }} from {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.762651, "supported_languages": null}, "macro.dbt.get_dcl_statement_list": {"name": "get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_dcl_statement_list", "macro_sql": "{% macro get_dcl_statement_list(relation, grant_config, get_dcl_macro) %}\n    {{ return(adapter.dispatch('get_dcl_statement_list', 'dbt')(relation, grant_config, get_dcl_macro)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_dcl_statement_list"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7628841, "supported_languages": null}, "macro.dbt.default__get_dcl_statement_list": {"name": "default__get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_dcl_statement_list", "macro_sql": "\n\n{%- macro default__get_dcl_statement_list(relation, grant_config, get_dcl_macro) -%}\n    {#\n      -- Unpack grant_config into specific privileges and the set of users who need them granted/revoked.\n      -- Depending on whether this database supports multiple grantees per statement, pass in the list of\n      -- all grantees per privilege, or (if not) template one statement per privilege-grantee pair.\n      -- `get_dcl_macro` will be either `get_grant_sql` or `get_revoke_sql`\n    #}\n    {%- set dcl_statements = [] -%}\n    {%- for privilege, grantees in grant_config.items() %}\n        {%- if support_multiple_grantees_per_dcl_statement() and grantees -%}\n          {%- set dcl = get_dcl_macro(relation, privilege, grantees) -%}\n          {%- do dcl_statements.append(dcl) -%}\n        {%- else -%}\n          {%- for grantee in grantees -%}\n              {% set dcl = get_dcl_macro(relation, privilege, [grantee]) %}\n              {%- do dcl_statements.append(dcl) -%}\n          {% endfor -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return(dcl_statements) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.763789, "supported_languages": null}, "macro.dbt.call_dcl_statements": {"name": "call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.call_dcl_statements", "macro_sql": "{% macro call_dcl_statements(dcl_statement_list) %}\n    {{ return(adapter.dispatch(\"call_dcl_statements\", \"dbt\")(dcl_statement_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7639868, "supported_languages": null}, "macro.dbt.default__call_dcl_statements": {"name": "default__call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__call_dcl_statements", "macro_sql": "{% macro default__call_dcl_statements(dcl_statement_list) %}\n    {#\n      -- By default, supply all grant + revoke statements in a single semicolon-separated block,\n      -- so that they're all processed together.\n\n      -- Some databases do not support this. Those adapters will need to override this macro\n      -- to run each statement individually.\n    #}\n    {% call statement('grants') %}\n        {% for dcl_statement in dcl_statement_list %}\n            {{ dcl_statement }};\n        {% endfor %}\n    {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.764236, "supported_languages": null}, "macro.dbt.apply_grants": {"name": "apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.apply_grants", "macro_sql": "{% macro apply_grants(relation, grant_config, should_revoke) %}\n    {{ return(adapter.dispatch(\"apply_grants\", \"dbt\")(relation, grant_config, should_revoke)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.76448, "supported_languages": null}, "macro.dbt.default__apply_grants": {"name": "default__apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__apply_grants", "macro_sql": "{% macro default__apply_grants(relation, grant_config, should_revoke=True) %}\n    {#-- If grant_config is {} or None, this is a no-op --#}\n    {% if grant_config %}\n        {% if should_revoke %}\n            {#-- We think previous grants may have carried over --#}\n            {#-- Show current grants and calculate diffs --#}\n            {% set current_grants_table = run_query(get_show_grant_sql(relation)) %}\n            {% set current_grants_dict = adapter.standardize_grants_dict(current_grants_table) %}\n            {% set needs_granting = diff_of_two_dicts(grant_config, current_grants_dict) %}\n            {% set needs_revoking = diff_of_two_dicts(current_grants_dict, grant_config) %}\n            {% if not (needs_granting or needs_revoking) %}\n                {{ log('On ' ~ relation ~': All grants are in place, no revocation or granting needed.')}}\n            {% endif %}\n        {% else %}\n            {#-- We don't think there's any chance of previous grants having carried over. --#}\n            {#-- Jump straight to granting what the user has configured. --#}\n            {% set needs_revoking = {} %}\n            {% set needs_granting = grant_config %}\n        {% endif %}\n        {% if needs_granting or needs_revoking %}\n            {% set revoke_statement_list = get_dcl_statement_list(relation, needs_revoking, get_revoke_sql) %}\n            {% set grant_statement_list = get_dcl_statement_list(relation, needs_granting, get_grant_sql) %}\n            {% set dcl_statement_list = revoke_statement_list + grant_statement_list %}\n            {% if dcl_statement_list %}\n                {{ call_dcl_statements(dcl_statement_list) }}\n            {% endif %}\n        {% endif %}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.get_show_grant_sql", "macro.dbt.get_dcl_statement_list", "macro.dbt.call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.76564, "supported_languages": null}, "macro.dbt.alter_column_comment": {"name": "alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_column_comment", "macro_sql": "{% macro alter_column_comment(relation, column_dict) -%}\n  {{ return(adapter.dispatch('alter_column_comment', 'dbt')(relation, column_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7663429, "supported_languages": null}, "macro.dbt.default__alter_column_comment": {"name": "default__alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_column_comment", "macro_sql": "{% macro default__alter_column_comment(relation, column_dict) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_column_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.766516, "supported_languages": null}, "macro.dbt.alter_relation_comment": {"name": "alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_relation_comment", "macro_sql": "{% macro alter_relation_comment(relation, relation_comment) -%}\n  {{ return(adapter.dispatch('alter_relation_comment', 'dbt')(relation, relation_comment)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__alter_relation_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7667232, "supported_languages": null}, "macro.dbt.default__alter_relation_comment": {"name": "default__alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_relation_comment", "macro_sql": "{% macro default__alter_relation_comment(relation, relation_comment) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_relation_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.766896, "supported_languages": null}, "macro.dbt.persist_docs": {"name": "persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.persist_docs", "macro_sql": "{% macro persist_docs(relation, model, for_relation=true, for_columns=true) -%}\n  {{ return(adapter.dispatch('persist_docs', 'dbt')(relation, model, for_relation, for_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.767172, "supported_languages": null}, "macro.dbt.default__persist_docs": {"name": "default__persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__persist_docs", "macro_sql": "{% macro default__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_relation and config.persist_relation_docs() and model.description %}\n    {% do run_query(alter_relation_comment(relation, model.description)) %}\n  {% endif %}\n\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do run_query(alter_column_comment(relation, model.columns)) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.alter_relation_comment", "macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7676742, "supported_languages": null}, "macro.dbt.get_catalog": {"name": "get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_catalog", "macro_sql": "{% macro get_catalog(information_schema, schemas) -%}\n  {{ return(adapter.dispatch('get_catalog', 'dbt')(information_schema, schemas)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__get_catalog"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7692218, "supported_languages": null}, "macro.dbt.default__get_catalog": {"name": "default__get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_catalog", "macro_sql": "{% macro default__get_catalog(information_schema, schemas) -%}\n\n  {% set typename = adapter.type() %}\n  {% set msg -%}\n    get_catalog not implemented for {{ typename }}\n  {%- endset %}\n\n  {{ exceptions.raise_compiler_error(msg) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.769484, "supported_languages": null}, "macro.dbt.information_schema_name": {"name": "information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.information_schema_name", "macro_sql": "{% macro information_schema_name(database) %}\n  {{ return(adapter.dispatch('information_schema_name', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__information_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.769671, "supported_languages": null}, "macro.dbt.default__information_schema_name": {"name": "default__information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__information_schema_name", "macro_sql": "{% macro default__information_schema_name(database) -%}\n  {%- if database -%}\n    {{ database }}.INFORMATION_SCHEMA\n  {%- else -%}\n    INFORMATION_SCHEMA\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.76983, "supported_languages": null}, "macro.dbt.list_schemas": {"name": "list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_schemas", "macro_sql": "{% macro list_schemas(database) -%}\n  {{ return(adapter.dispatch('list_schemas', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__list_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7700129, "supported_languages": null}, "macro.dbt.default__list_schemas": {"name": "default__list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_schemas", "macro_sql": "{% macro default__list_schemas(database) -%}\n  {% set sql %}\n    select distinct schema_name\n    from {{ information_schema_name(database) }}.SCHEMATA\n    where catalog_name ilike '{{ database }}'\n  {% endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.information_schema_name", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.770263, "supported_languages": null}, "macro.dbt.check_schema_exists": {"name": "check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.check_schema_exists", "macro_sql": "{% macro check_schema_exists(information_schema, schema) -%}\n  {{ return(adapter.dispatch('check_schema_exists', 'dbt')(information_schema, schema)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__check_schema_exists"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.770472, "supported_languages": null}, "macro.dbt.default__check_schema_exists": {"name": "default__check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__check_schema_exists", "macro_sql": "{% macro default__check_schema_exists(information_schema, schema) -%}\n  {% set sql -%}\n        select count(*)\n        from {{ information_schema.replace(information_schema_view='SCHEMATA') }}\n        where catalog_name='{{ information_schema.database }}'\n          and schema_name='{{ schema }}'\n  {%- endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7707782, "supported_languages": null}, "macro.dbt.list_relations_without_caching": {"name": "list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_relations_without_caching", "macro_sql": "{% macro list_relations_without_caching(schema_relation) %}\n  {{ return(adapter.dispatch('list_relations_without_caching', 'dbt')(schema_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__list_relations_without_caching"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.770965, "supported_languages": null}, "macro.dbt.default__list_relations_without_caching": {"name": "default__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_relations_without_caching", "macro_sql": "{% macro default__list_relations_without_caching(schema_relation) %}\n  {{ exceptions.raise_not_implemented(\n    'list_relations_without_caching macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.771134, "supported_languages": null}, "macro.dbt.get_columns_in_relation": {"name": "get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_relation", "macro_sql": "{% macro get_columns_in_relation(relation) -%}\n  {{ return(adapter.dispatch('get_columns_in_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_postgres.postgres__get_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.773451, "supported_languages": null}, "macro.dbt.default__get_columns_in_relation": {"name": "default__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_relation", "macro_sql": "{% macro default__get_columns_in_relation(relation) -%}\n  {{ exceptions.raise_not_implemented(\n    'get_columns_in_relation macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7736871, "supported_languages": null}, "macro.dbt.sql_convert_columns_in_relation": {"name": "sql_convert_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.sql_convert_columns_in_relation", "macro_sql": "{% macro sql_convert_columns_in_relation(table) -%}\n  {% set columns = [] %}\n  {% for row in table %}\n    {% do columns.append(api.Column(*row)) %}\n  {% endfor %}\n  {{ return(columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.773998, "supported_languages": null}, "macro.dbt.get_empty_subquery_sql": {"name": "get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_subquery_sql", "macro_sql": "{% macro get_empty_subquery_sql(select_sql, select_sql_header=none) -%}\n  {{ return(adapter.dispatch('get_empty_subquery_sql', 'dbt')(select_sql, select_sql_header)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.774221, "supported_languages": null}, "macro.dbt.default__get_empty_subquery_sql": {"name": "default__get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_subquery_sql", "macro_sql": "{% macro default__get_empty_subquery_sql(select_sql, select_sql_header=none) %}\n    {%- if select_sql_header is not none -%}\n    {{ select_sql_header }}\n    {%- endif -%}\n    select * from (\n        {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7744331, "supported_languages": null}, "macro.dbt.get_empty_schema_sql": {"name": "get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_schema_sql", "macro_sql": "{% macro get_empty_schema_sql(columns) -%}\n  {{ return(adapter.dispatch('get_empty_schema_sql', 'dbt')(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.774616, "supported_languages": null}, "macro.dbt.default__get_empty_schema_sql": {"name": "default__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_schema_sql", "macro_sql": "{% macro default__get_empty_schema_sql(columns) %}\n    {%- set col_err = [] -%}\n    select\n    {% for i in columns %}\n      {%- set col = columns[i] -%}\n      {%- if col['data_type'] is not defined -%}\n        {{ col_err.append(col['name']) }}\n      {%- endif -%}\n      {% set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] %}\n      cast(null as {{ col['data_type'] }}) as {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n    {%- if (col_err | length) > 0 -%}\n      {{ exceptions.column_type_missing(column_names=col_err) }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.775392, "supported_languages": null}, "macro.dbt.get_column_schema_from_query": {"name": "get_column_schema_from_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_column_schema_from_query", "macro_sql": "{% macro get_column_schema_from_query(select_sql, select_sql_header=none) -%}\n    {% set columns = [] %}\n    {# -- Using an 'empty subquery' here to get the same schema as the given select_sql statement, without necessitating a data scan.#}\n    {% set sql = get_empty_subquery_sql(select_sql, select_sql_header) %}\n    {% set column_schema = adapter.get_column_schema_from_query(sql) %}\n    {{ return(column_schema) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.775737, "supported_languages": null}, "macro.dbt.get_columns_in_query": {"name": "get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_query", "macro_sql": "{% macro get_columns_in_query(select_sql) -%}\n  {{ return(adapter.dispatch('get_columns_in_query', 'dbt')(select_sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7759218, "supported_languages": null}, "macro.dbt.default__get_columns_in_query": {"name": "default__get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_query", "macro_sql": "{% macro default__get_columns_in_query(select_sql) %}\n    {% call statement('get_columns_in_query', fetch_result=True, auto_begin=False) -%}\n        {{ get_empty_subquery_sql(select_sql) }}\n    {% endcall %}\n    {{ return(load_result('get_columns_in_query').table.columns | map(attribute='name') | list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.776282, "supported_languages": null}, "macro.dbt.alter_column_type": {"name": "alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_column_type", "macro_sql": "{% macro alter_column_type(relation, column_name, new_column_type) -%}\n  {{ return(adapter.dispatch('alter_column_type', 'dbt')(relation, column_name, new_column_type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7765179, "supported_languages": null}, "macro.dbt.default__alter_column_type": {"name": "default__alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_column_type", "macro_sql": "{% macro default__alter_column_type(relation, column_name, new_column_type) -%}\n  {#\n    1. Create a new column (w/ temp name and correct type)\n    2. Copy data over to it\n    3. Drop the existing column (cascade!)\n    4. Rename the new column to existing column\n  #}\n  {%- set tmp_column = column_name + \"__dbt_alter\" -%}\n\n  {% call statement('alter_column_type') %}\n    alter table {{ relation }} add column {{ adapter.quote(tmp_column) }} {{ new_column_type }};\n    update {{ relation }} set {{ adapter.quote(tmp_column) }} = {{ adapter.quote(column_name) }};\n    alter table {{ relation }} drop column {{ adapter.quote(column_name) }} cascade;\n    alter table {{ relation }} rename column {{ adapter.quote(tmp_column) }} to {{ adapter.quote(column_name) }}\n  {% endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.77713, "supported_languages": null}, "macro.dbt.alter_relation_add_remove_columns": {"name": "alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_relation_add_remove_columns", "macro_sql": "{% macro alter_relation_add_remove_columns(relation, add_columns = none, remove_columns = none) -%}\n  {{ return(adapter.dispatch('alter_relation_add_remove_columns', 'dbt')(relation, add_columns, remove_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_add_remove_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.777395, "supported_languages": null}, "macro.dbt.default__alter_relation_add_remove_columns": {"name": "default__alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_relation_add_remove_columns", "macro_sql": "{% macro default__alter_relation_add_remove_columns(relation, add_columns, remove_columns) %}\n\n  {% if add_columns is none %}\n    {% set add_columns = [] %}\n  {% endif %}\n  {% if remove_columns is none %}\n    {% set remove_columns = [] %}\n  {% endif %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n            {% for column in add_columns %}\n               add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n            {% endfor %}{{ ',' if add_columns and remove_columns }}\n\n            {% for column in remove_columns %}\n                drop column {{ column.name }}{{ ',' if not loop.last }}\n            {% endfor %}\n\n  {%- endset -%}\n\n  {% do run_query(sql) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7781959, "supported_languages": null}, "macro.dbt.resolve_model_name": {"name": "resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.resolve_model_name", "macro_sql": "{% macro resolve_model_name(input_model_name) %}\n    {{ return(adapter.dispatch('resolve_model_name', 'dbt')(input_model_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7798872, "supported_languages": null}, "macro.dbt.default__resolve_model_name": {"name": "default__resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.default__resolve_model_name", "macro_sql": "\n\n{%- macro default__resolve_model_name(input_model_name) -%}\n    {{  input_model_name | string | replace('\"', '\\\"') }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.780046, "supported_languages": null}, "macro.dbt.build_ref_function": {"name": "build_ref_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_ref_function", "macro_sql": "{% macro build_ref_function(model) %}\n\n    {%- set ref_dict = {} -%}\n    {%- for _ref in model.refs -%}\n        {% set _ref_args = [_ref.get('package'), _ref['name']] if _ref.get('package') else [_ref['name'],] %}\n        {%- set resolved = ref(*_ref_args, v=_ref.get('version')) -%}\n        {%- if _ref.get('version') -%}\n            {% do _ref_args.extend([\"v\" ~ _ref['version']]) %}\n        {%- endif -%}\n       {%- do ref_dict.update({_ref_args | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef ref(*args, **kwargs):\n    refs = {{ ref_dict | tojson }}\n    key = '.'.join(args)\n    version = kwargs.get(\"v\") or kwargs.get(\"version\")\n    if version:\n        key += f\".v{version}\"\n    dbt_load_df_function = kwargs.get(\"dbt_load_df_function\")\n    return dbt_load_df_function(refs[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.780892, "supported_languages": null}, "macro.dbt.build_source_function": {"name": "build_source_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_source_function", "macro_sql": "{% macro build_source_function(model) %}\n\n    {%- set source_dict = {} -%}\n    {%- for _source in model.sources -%}\n        {%- set resolved = source(*_source) -%}\n        {%- do source_dict.update({_source | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef source(*args, dbt_load_df_function):\n    sources = {{ source_dict | tojson }}\n    key = '.'.join(args)\n    return dbt_load_df_function(sources[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.781377, "supported_languages": null}, "macro.dbt.build_config_dict": {"name": "build_config_dict", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_config_dict", "macro_sql": "{% macro build_config_dict(model) %}\n    {%- set config_dict = {} -%}\n    {% set config_dbt_used = zip(model.config.config_keys_used, model.config.config_keys_defaults) | list %}\n    {%- for key, default in config_dbt_used -%}\n        {# weird type testing with enum, would be much easier to write this logic in Python! #}\n        {%- if key == \"language\" -%}\n          {%- set value = \"python\" -%}\n        {%- endif -%}\n        {%- set value = model.config.get(key, default) -%}\n        {%- do config_dict.update({key: value}) -%}\n    {%- endfor -%}\nconfig_dict = {{ config_dict }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7819798, "supported_languages": null}, "macro.dbt.py_script_postfix": {"name": "py_script_postfix", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_postfix", "macro_sql": "{% macro py_script_postfix(model) %}\n# This part is user provided model code\n# you will need to copy the next section to run the code\n# COMMAND ----------\n# this part is dbt logic for get ref work, do not modify\n\n{{ build_ref_function(model ) }}\n{{ build_source_function(model ) }}\n{{ build_config_dict(model) }}\n\nclass config:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    @staticmethod\n    def get(key, default=None):\n        return config_dict.get(key, default)\n\nclass this:\n    \"\"\"dbt.this() or dbt.this.identifier\"\"\"\n    database = \"{{ this.database }}\"\n    schema = \"{{ this.schema }}\"\n    identifier = \"{{ this.identifier }}\"\n    {% set this_relation_name = resolve_model_name(this) %}\n    def __repr__(self):\n        return '{{ this_relation_name  }}'\n\n\nclass dbtObj:\n    def __init__(self, load_df_function) -> None:\n        self.source = lambda *args: source(*args, dbt_load_df_function=load_df_function)\n        self.ref = lambda *args, **kwargs: ref(*args, **kwargs, dbt_load_df_function=load_df_function)\n        self.config = config\n        self.this = this()\n        self.is_incremental = {{ is_incremental() }}\n\n# COMMAND ----------\n{{py_script_comment()}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.build_ref_function", "macro.dbt.build_source_function", "macro.dbt.build_config_dict", "macro.dbt.resolve_model_name", "macro.dbt.is_incremental", "macro.dbt.py_script_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.782462, "supported_languages": null}, "macro.dbt.py_script_comment": {"name": "py_script_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_comment", "macro_sql": "{%macro py_script_comment()%}\n{%endmacro%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.782538, "supported_languages": null}, "macro.dbt.test_unique": {"name": "test_unique", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_unique", "macro_sql": "{% test unique(model, column_name) %}\n    {% set macro = adapter.dispatch('test_unique', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_unique"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.783051, "supported_languages": null}, "macro.dbt.test_not_null": {"name": "test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_not_null", "macro_sql": "{% test not_null(model, column_name) %}\n    {% set macro = adapter.dispatch('test_not_null', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.783287, "supported_languages": null}, "macro.dbt.test_accepted_values": {"name": "test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_accepted_values", "macro_sql": "{% test accepted_values(model, column_name, values, quote=True) %}\n    {% set macro = adapter.dispatch('test_accepted_values', 'dbt') %}\n    {{ macro(model, column_name, values, quote) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.783584, "supported_languages": null}, "macro.dbt.test_relationships": {"name": "test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_relationships", "macro_sql": "{% test relationships(model, column_name, to, field) %}\n    {% set macro = adapter.dispatch('test_relationships', 'dbt') %}\n    {{ macro(model, column_name, to, field) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_relationships"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.783861, "supported_languages": null}, "macro.dbt_utils.get_url_host": {"name": "get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.get_url_host", "macro_sql": "{% macro get_url_host(field) -%}\n    {{ return(adapter.dispatch('get_url_host', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_host"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.784224, "supported_languages": null}, "macro.dbt_utils.default__get_url_host": {"name": "default__get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.default__get_url_host", "macro_sql": "{% macro default__get_url_host(field) -%}\n\n{%- set parsed =\n    dbt.split_part(\n        dbt.split_part(\n            dbt.replace(\n                dbt.replace(\n                    dbt.replace(field, \"'android-app://'\", \"''\"\n                    ), \"'http://'\", \"''\"\n                ), \"'https://'\", \"''\"\n            ), \"'/'\", 1\n        ), \"'?'\", 1\n    )\n\n-%}\n\n\n    {{ dbt.safe_cast(\n        parsed,\n        dbt.type_string()\n        )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part", "macro.dbt.replace", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.784724, "supported_languages": null}, "macro.dbt_utils.get_url_path": {"name": "get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.get_url_path", "macro_sql": "{% macro get_url_path(field) -%}\n    {{ return(adapter.dispatch('get_url_path', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_path"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.785224, "supported_languages": null}, "macro.dbt_utils.default__get_url_path": {"name": "default__get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.default__get_url_path", "macro_sql": "{% macro default__get_url_path(field) -%}\n\n    {%- set stripped_url =\n        dbt.replace(\n            dbt.replace(field, \"'http://'\", \"''\"), \"'https://'\", \"''\")\n    -%}\n\n    {%- set first_slash_pos -%}\n        coalesce(\n            nullif({{ dbt.position(\"'/'\", stripped_url) }}, 0),\n            {{ dbt.position(\"'?'\", stripped_url) }} - 1\n            )\n    {%- endset -%}\n\n    {%- set parsed_path =\n        dbt.split_part(\n            dbt.right(\n                stripped_url,\n                dbt.length(stripped_url) ~ \"-\" ~ first_slash_pos\n                ),\n            \"'?'\", 1\n            )\n    -%}\n\n    {{ dbt.safe_cast(\n        parsed_path,\n        dbt.type_string()\n    )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.position", "macro.dbt.split_part", "macro.dbt.right", "macro.dbt.length", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7858958, "supported_languages": null}, "macro.dbt_utils.get_url_parameter": {"name": "get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.get_url_parameter", "macro_sql": "{% macro get_url_parameter(field, url_parameter) -%}\n    {{ return(adapter.dispatch('get_url_parameter', 'dbt_utils')(field, url_parameter)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.786217, "supported_languages": null}, "macro.dbt_utils.default__get_url_parameter": {"name": "default__get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.default__get_url_parameter", "macro_sql": "{% macro default__get_url_parameter(field, url_parameter) -%}\n\n{%- set formatted_url_parameter = \"'\" + url_parameter + \"='\" -%}\n\n{%- set split = dbt.split_part(dbt.split_part(field, formatted_url_parameter, 2), \"'&'\", 1) -%}\n\nnullif({{ split }},'')\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7865658, "supported_languages": null}, "macro.dbt_utils.test_fewer_rows_than": {"name": "test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.test_fewer_rows_than", "macro_sql": "{% test fewer_rows_than(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_fewer_rows_than', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_fewer_rows_than"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.787668, "supported_languages": null}, "macro.dbt_utils.default__test_fewer_rows_than": {"name": "default__test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.default__test_fewer_rows_than", "macro_sql": "{% macro default__test_fewer_rows_than(model, compare_model, group_by_columns) %}\n\n{{ config(fail_calc = 'sum(coalesce(row_count_delta, 0))') }}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in equal_rowcount. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_fewer_rows_than'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_our_model \n    from {{ model }}\n    {{ groupby_gb_cols }}\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_comparison_model \n    from {{ compare_model }}\n    {{ groupby_gb_cols }}\n\n),\ncounts as (\n\n    select\n\n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_our_model,\n        count_comparison_model\n    from a\n    full join b on \n    a.id_dbtutils_test_fewer_rows_than = b.id_dbtutils_test_fewer_rows_than\n    {{ join_gb_cols }}\n\n),\nfinal as (\n\n    select *,\n        case\n            -- fail the test if we have more rows than the reference model and return the row count delta\n            when count_our_model > count_comparison_model then (count_our_model - count_comparison_model)\n            -- fail the test if they are the same number\n            when count_our_model = count_comparison_model then 1\n            -- pass the test if the delta is positive (i.e. return the number 0)\n            else 0\n    end as row_count_delta\n    from counts\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7887099, "supported_languages": null}, "macro.dbt_utils.test_equal_rowcount": {"name": "test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.test_equal_rowcount", "macro_sql": "{% test equal_rowcount(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_equal_rowcount', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equal_rowcount"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.789589, "supported_languages": null}, "macro.dbt_utils.default__test_equal_rowcount": {"name": "default__test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.default__test_equal_rowcount", "macro_sql": "{% macro default__test_equal_rowcount(model, compare_model, group_by_columns) %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'sum(coalesce(diff_count, 0))') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(', ') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in fewer_rows_than. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_equal_rowcount'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_a \n    from {{ model }}\n    {{groupby_gb_cols}}\n\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_b \n    from {{ compare_model }}\n    {{groupby_gb_cols}}\n\n),\nfinal as (\n\n    select\n    \n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_a,\n        count_b,\n        abs(count_a - count_b) as diff_count\n\n    from a\n    full join b\n    on\n    a.id_dbtutils_test_equal_rowcount = b.id_dbtutils_test_equal_rowcount\n    {{join_gb_cols}}\n\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.790764, "supported_languages": null}, "macro.dbt_utils.test_relationships_where": {"name": "test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.test_relationships_where", "macro_sql": "{% test relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n  {{ return(adapter.dispatch('test_relationships_where', 'dbt_utils')(model, column_name, to, field, from_condition, to_condition)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_relationships_where"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7914271, "supported_languages": null}, "macro.dbt_utils.default__test_relationships_where": {"name": "default__test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.default__test_relationships_where", "macro_sql": "{% macro default__test_relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n\n{# T-SQL has no boolean data type so we use 1=1 which returns TRUE #}\n{# ref https://stackoverflow.com/a/7170753/3842610 #}\n\nwith left_table as (\n\n  select\n    {{column_name}} as id\n\n  from {{model}}\n\n  where {{column_name}} is not null\n    and {{from_condition}}\n\n),\n\nright_table as (\n\n  select\n    {{field}} as id\n\n  from {{to}}\n\n  where {{field}} is not null\n    and {{to_condition}}\n\n),\n\nexceptions as (\n\n  select\n    left_table.id,\n    right_table.id as right_id\n\n  from left_table\n\n  left join right_table\n         on left_table.id = right_table.id\n\n  where right_table.id is null\n\n)\n\nselect * from exceptions\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.791778, "supported_languages": null}, "macro.dbt_utils.test_recency": {"name": "test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.test_recency", "macro_sql": "{% test recency(model, field, datepart, interval, ignore_time_component=False, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_recency', 'dbt_utils')(model, field, datepart, interval, ignore_time_component, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_recency"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7925189, "supported_languages": null}, "macro.dbt_utils.default__test_recency": {"name": "default__test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.default__test_recency", "macro_sql": "{% macro default__test_recency(model, field, datepart, interval, ignore_time_component, group_by_columns) %}\n\n{% set threshold = 'cast(' ~ dbt.dateadd(datepart, interval * -1, dbt.current_timestamp()) ~ ' as ' ~ ('date' if ignore_time_component else dbt.type_timestamp()) ~ ')'  %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nwith recency as (\n\n    select \n\n      {{ select_gb_cols }}\n      {% if ignore_time_component %}\n        cast(max({{ field }}) as date) as most_recent\n      {%- else %}\n        max({{ field }}) as most_recent\n      {%- endif %}\n\n    from {{ model }}\n\n    {{ groupby_gb_cols }}\n\n)\n\nselect\n\n    {{ select_gb_cols }}\n    most_recent,\n    {{ threshold }} as threshold\n\nfrom recency\nwhere most_recent < {{ threshold }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.current_timestamp", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7933729, "supported_languages": null}, "macro.dbt_utils.test_not_constant": {"name": "test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.test_not_constant", "macro_sql": "{% test not_constant(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_constant', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_constant"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.793836, "supported_languages": null}, "macro.dbt_utils.default__test_not_constant": {"name": "default__test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.default__test_not_constant", "macro_sql": "{% macro default__test_not_constant(model, column_name, group_by_columns) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nselect\n    {# In TSQL, subquery aggregate columns need aliases #}\n    {# thus: a filler col name, 'filler_column' #}\n    {{select_gb_cols}}\n    count(distinct {{ column_name }}) as filler_column\n\nfrom {{ model }}\n\n  {{groupby_gb_cols}}\n\nhaving count(distinct {{ column_name }}) = 1\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.794303, "supported_languages": null}, "macro.dbt_utils.test_accepted_range": {"name": "test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.test_accepted_range", "macro_sql": "{% test accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n  {{ return(adapter.dispatch('test_accepted_range', 'dbt_utils')(model, column_name, min_value, max_value, inclusive)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_accepted_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.794931, "supported_languages": null}, "macro.dbt_utils.default__test_accepted_range": {"name": "default__test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.default__test_accepted_range", "macro_sql": "{% macro default__test_accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n\nwith meet_condition as(\n  select *\n  from {{ model }}\n),\n\nvalidation_errors as (\n  select *\n  from meet_condition\n  where\n    -- never true, defaults to an empty result set. Exists to ensure any combo of the `or` clauses below succeeds\n    1 = 2\n\n  {%- if min_value is not none %}\n    -- records with a value >= min_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} > {{- \"=\" if inclusive }} {{ min_value }}\n  {%- endif %}\n\n  {%- if max_value is not none %}\n    -- records with a value <= max_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} < {{- \"=\" if inclusive }} {{ max_value }}\n  {%- endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.795413, "supported_languages": null}, "macro.dbt_utils.test_not_accepted_values": {"name": "test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.test_not_accepted_values", "macro_sql": "{% test not_accepted_values(model, column_name, values, quote=True) %}\n  {{ return(adapter.dispatch('test_not_accepted_values', 'dbt_utils')(model, column_name, values, quote)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7959821, "supported_languages": null}, "macro.dbt_utils.default__test_not_accepted_values": {"name": "default__test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.default__test_not_accepted_values", "macro_sql": "{% macro default__test_not_accepted_values(model, column_name, values, quote=True) %}\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as value_field\n\n    from {{ model }}\n\n),\n\nvalidation_errors as (\n\n    select\n        value_field\n\n    from all_values\n    where value_field in (\n        {% for value in values -%}\n            {% if quote -%}\n            '{{ value }}'\n            {%- else -%}\n            {{ value }}\n            {%- endif -%}\n            {%- if not loop.last -%},{%- endif %}\n        {%- endfor %}\n        )\n\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.796375, "supported_languages": null}, "macro.dbt_utils.test_at_least_one": {"name": "test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.test_at_least_one", "macro_sql": "{% test at_least_one(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_at_least_one', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_at_least_one"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.797049, "supported_languages": null}, "macro.dbt_utils.default__test_at_least_one": {"name": "default__test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.default__test_at_least_one", "macro_sql": "{% macro default__test_at_least_one(model, column_name, group_by_columns) %}\n\n{% set pruned_cols = [column_name] %}\n\n{% if group_by_columns|length() > 0 %}\n\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n  {% set pruned_cols = group_by_columns %}\n\n  {% if column_name not in pruned_cols %}\n    {% do pruned_cols.append(column_name) %}\n  {% endif %}\n\n{% endif %}\n\n{% set select_pruned_cols = pruned_cols|join(' ,') %}\n\nselect *\nfrom (\n    with pruned_rows as (\n      select\n        {{ select_pruned_cols }}\n      from {{ model }}\n      where {{ column_name }} is not null\n      limit 1\n    )\n    select\n        {# In TSQL, subquery aggregate columns need aliases #}\n        {# thus: a filler col name, 'filler_column' #}\n      {{select_gb_cols}}\n      count({{ column_name }}) as filler_column\n\n    from pruned_rows\n\n    {{groupby_gb_cols}}\n\n    having count({{ column_name }}) = 0\n\n) validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.797859, "supported_languages": null}, "macro.dbt_utils.test_unique_combination_of_columns": {"name": "test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.test_unique_combination_of_columns", "macro_sql": "{% test unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n  {{ return(adapter.dispatch('test_unique_combination_of_columns', 'dbt_utils')(model, combination_of_columns, quote_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_unique_combination_of_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.798505, "supported_languages": null}, "macro.dbt_utils.default__test_unique_combination_of_columns": {"name": "default__test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.default__test_unique_combination_of_columns", "macro_sql": "{% macro default__test_unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n\n{% if not quote_columns %}\n    {%- set column_list=combination_of_columns %}\n{% elif quote_columns %}\n    {%- set column_list=[] %}\n        {% for column in combination_of_columns -%}\n            {% set column_list = column_list.append( adapter.quote(column) ) %}\n        {%- endfor %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`quote_columns` argument for unique_combination_of_columns test must be one of [True, False] Got: '\" ~ quote ~\"'.'\"\n    ) }}\n{% endif %}\n\n{%- set columns_csv=column_list | join(', ') %}\n\n\nwith validation_errors as (\n\n    select\n        {{ columns_csv }}\n    from {{ model }}\n    group by {{ columns_csv }}\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.7991638, "supported_languages": null}, "macro.dbt_utils.test_cardinality_equality": {"name": "test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.test_cardinality_equality", "macro_sql": "{% test cardinality_equality(model, column_name, to, field) %}\n    {{ return(adapter.dispatch('test_cardinality_equality', 'dbt_utils')(model, column_name, to, field)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_cardinality_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.799714, "supported_languages": null}, "macro.dbt_utils.default__test_cardinality_equality": {"name": "default__test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.default__test_cardinality_equality", "macro_sql": "{% macro default__test_cardinality_equality(model, column_name, to, field) %}\n\n{# T-SQL does not let you use numbers as aliases for columns #}\n{# Thus, no \"GROUP BY 1\" #}\n\nwith table_a as (\nselect\n  {{ column_name }},\n  count(*) as num_rows\nfrom {{ model }}\ngroup by {{ column_name }}\n),\n\ntable_b as (\nselect\n  {{ field }},\n  count(*) as num_rows\nfrom {{ to }}\ngroup by {{ field }}\n),\n\nexcept_a as (\n  select *\n  from table_a\n  {{ dbt.except() }}\n  select *\n  from table_b\n),\n\nexcept_b as (\n  select *\n  from table_b\n  {{ dbt.except() }}\n  select *\n  from table_a\n),\n\nunioned as (\n  select *\n  from except_a\n  union all\n  select *\n  from except_b\n)\n\nselect *\nfrom unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8000698, "supported_languages": null}, "macro.dbt_utils.test_expression_is_true": {"name": "test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.test_expression_is_true", "macro_sql": "{% test expression_is_true(model, expression, column_name=None) %}\n  {{ return(adapter.dispatch('test_expression_is_true', 'dbt_utils')(model, expression, column_name)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.800483, "supported_languages": null}, "macro.dbt_utils.default__test_expression_is_true": {"name": "default__test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.default__test_expression_is_true", "macro_sql": "{% macro default__test_expression_is_true(model, expression, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else \"1\" %}\n\nselect\n    {{ column_list }}\nfrom {{ model }}\n{% if column_name is none %}\nwhere not({{ expression }})\n{%- else %}\nwhere not({{ column_name }} {{ expression }})\n{%- endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.800912, "supported_languages": null}, "macro.dbt_utils.test_not_null_proportion": {"name": "test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.test_not_null_proportion", "macro_sql": "{% macro test_not_null_proportion(model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_null_proportion', 'dbt_utils')(model, group_by_columns, **kwargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_null_proportion"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.801568, "supported_languages": null}, "macro.dbt_utils.default__test_not_null_proportion": {"name": "default__test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.default__test_not_null_proportion", "macro_sql": "{% macro default__test_not_null_proportion(model, group_by_columns) %}\n\n{% set column_name = kwargs.get('column_name', kwargs.get('arg')) %}\n{% set at_least = kwargs.get('at_least', kwargs.get('arg')) %}\n{% set at_most = kwargs.get('at_most', kwargs.get('arg', 1)) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith validation as (\n  select\n    {{select_gb_cols}}\n    sum(case when {{ column_name }} is null then 0 else 1 end) / cast(count(*) as numeric) as not_null_proportion\n  from {{ model }}\n  {{groupby_gb_cols}}\n),\nvalidation_errors as (\n  select\n    {{select_gb_cols}}\n    not_null_proportion\n  from validation\n  where not_null_proportion < {{ at_least }} or not_null_proportion > {{ at_most }}\n)\nselect\n  *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.802416, "supported_languages": null}, "macro.dbt_utils.test_sequential_values": {"name": "test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.test_sequential_values", "macro_sql": "{% test sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n  {{ return(adapter.dispatch('test_sequential_values', 'dbt_utils')(model, column_name, interval, datepart, group_by_columns)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_sequential_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.803343, "supported_languages": null}, "macro.dbt_utils.default__test_sequential_values": {"name": "default__test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.default__test_sequential_values", "macro_sql": "{% macro default__test_sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n{% set previous_column_name = \"previous_\" ~ dbt_utils.slugify(column_name) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(',') + ', ' %}\n  {% set partition_gb_cols = 'partition by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith windowed as (\n\n    select\n        {{ select_gb_cols }}\n        {{ column_name }},\n        lag({{ column_name }}) over (\n            {{partition_gb_cols}}\n            order by {{ column_name }}\n        ) as {{ previous_column_name }}\n    from {{ model }}\n),\n\nvalidation_errors as (\n    select\n        *\n    from windowed\n    {% if datepart %}\n    where not(cast({{ column_name }} as {{ dbt.type_timestamp() }})= cast({{ dbt.dateadd(datepart, interval, previous_column_name) }} as {{ dbt.type_timestamp() }}))\n    {% else %}\n    where not({{ column_name }} = {{ previous_column_name }} + {{ interval }})\n    {% endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.slugify", "macro.dbt.type_timestamp", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.804275, "supported_languages": null}, "macro.dbt_utils.test_equality": {"name": "test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.test_equality", "macro_sql": "{% test equality(model, compare_model, compare_columns=None) %}\n  {{ return(adapter.dispatch('test_equality', 'dbt_utils')(model, compare_model, compare_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8050098, "supported_languages": null}, "macro.dbt_utils.default__test_equality": {"name": "default__test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.default__test_equality", "macro_sql": "{% macro default__test_equality(model, compare_model, compare_columns=None) %}\n\n{% set set_diff %}\n    count(*) + coalesce(abs(\n        sum(case when which_diff = 'a_minus_b' then 1 else 0 end) -\n        sum(case when which_diff = 'b_minus_a' then 1 else 0 end)\n    ), 0)\n{% endset %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = set_diff) }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n-- setup\n{%- do dbt_utils._is_relation(model, 'test_equality') -%}\n\n{#-\nIf the compare_cols arg is provided, we can run this test without querying the\ninformation schema\u00a0\u2014 this allows the model to be an ephemeral model\n-#}\n\n{%- if not compare_columns -%}\n    {%- do dbt_utils._is_ephemeral(model, 'test_equality') -%}\n    {%- set compare_columns = adapter.get_columns_in_relation(model) | map(attribute='quoted') -%}\n{%- endif -%}\n\n{% set compare_cols_csv = compare_columns | join(', ') %}\n\nwith a as (\n\n    select * from {{ model }}\n\n),\n\nb as (\n\n    select * from {{ compare_model }}\n\n),\n\na_minus_b as (\n\n    select {{compare_cols_csv}} from a\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from b\n\n),\n\nb_minus_a as (\n\n    select {{compare_cols_csv}} from b\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from a\n\n),\n\nunioned as (\n\n    select 'a_minus_b' as which_diff, a_minus_b.* from a_minus_b\n    union all\n    select 'b_minus_a' as which_diff, b_minus_a.* from b_minus_a\n\n)\n\nselect * from unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.805933, "supported_languages": null}, "macro.dbt_utils.test_not_empty_string": {"name": "test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.test_not_empty_string", "macro_sql": "{% test not_empty_string(model, column_name, trim_whitespace=true) %}\n\n  {{ return(adapter.dispatch('test_not_empty_string', 'dbt_utils')(model, column_name, trim_whitespace)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_empty_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.806464, "supported_languages": null}, "macro.dbt_utils.default__test_not_empty_string": {"name": "default__test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.default__test_not_empty_string", "macro_sql": "{% macro default__test_not_empty_string(model, column_name, trim_whitespace=true) %}\n\n    with\n    \n    all_values as (\n\n        select \n\n\n            {% if trim_whitespace == true -%}\n\n                trim({{ column_name }}) as {{ column_name }}\n\n            {%- else -%}\n\n                {{ column_name }}\n\n            {%- endif %}\n            \n        from {{ model }}\n\n    ),\n\n    errors as (\n\n        select * from all_values\n        where {{ column_name }} = ''\n\n    )\n\n    select * from errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.806775, "supported_languages": null}, "macro.dbt_utils.test_mutually_exclusive_ranges": {"name": "test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.test_mutually_exclusive_ranges", "macro_sql": "{% test mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n  {{ return(adapter.dispatch('test_mutually_exclusive_ranges', 'dbt_utils')(model, lower_bound_column, upper_bound_column, partition_by, gaps, zero_length_range_allowed)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_mutually_exclusive_ranges"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.810348, "supported_languages": null}, "macro.dbt_utils.default__test_mutually_exclusive_ranges": {"name": "default__test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.default__test_mutually_exclusive_ranges", "macro_sql": "{% macro default__test_mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n{% if gaps == 'not_allowed' %}\n    {% set allow_gaps_operator='=' %}\n    {% set allow_gaps_operator_in_words='equal_to' %}\n{% elif gaps == 'allowed' %}\n    {% set allow_gaps_operator='<=' %}\n    {% set allow_gaps_operator_in_words='less_than_or_equal_to' %}\n{% elif gaps == 'required' %}\n    {% set allow_gaps_operator='<' %}\n    {% set allow_gaps_operator_in_words='less_than' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`gaps` argument for mutually_exclusive_ranges test must be one of ['not_allowed', 'allowed', 'required'] Got: '\" ~ gaps ~\"'.'\"\n    ) }}\n{% endif %}\n{% if not zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<' %}\n    {% set allow_zero_length_operator_in_words='less_than' %}\n{% elif zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<=' %}\n    {% set allow_zero_length_operator_in_words='less_than_or_equal_to' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`zero_length_range_allowed` argument for mutually_exclusive_ranges test must be one of [true, false] Got: '\" ~ zero_length_range_allowed ~\"'.'\"\n    ) }}\n{% endif %}\n\n{% set partition_clause=\"partition by \" ~ partition_by if partition_by else '' %}\n\nwith window_functions as (\n\n    select\n        {% if partition_by %}\n        {{ partition_by }} as partition_by_col,\n        {% endif %}\n        {{ lower_bound_column }} as lower_bound,\n        {{ upper_bound_column }} as upper_bound,\n\n        lead({{ lower_bound_column }}) over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }}, {{ upper_bound_column }}\n        ) as next_lower_bound,\n\n        row_number() over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }} desc, {{ upper_bound_column }} desc\n        ) = 1 as is_last_record\n\n    from {{ model }}\n\n),\n\ncalc as (\n    -- We want to return records where one of our assumptions fails, so we'll use\n    -- the `not` function with `and` statements so we can write our assumptions more cleanly\n    select\n        *,\n\n        -- For each record: lower_bound should be < upper_bound.\n        -- Coalesce it to return an error on the null case (implicit assumption\n        -- these columns are not_null)\n        coalesce(\n            lower_bound {{ allow_zero_length_operator }} upper_bound,\n            false\n        ) as lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound,\n\n        -- For each record: upper_bound {{ allow_gaps_operator }} the next lower_bound.\n        -- Coalesce it to handle null cases for the last record.\n        coalesce(\n            upper_bound {{ allow_gaps_operator }} next_lower_bound,\n            is_last_record,\n            false\n        ) as upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n\n    from window_functions\n\n),\n\nvalidation_errors as (\n\n    select\n        *\n    from calc\n\n    where not(\n        -- THE FOLLOWING SHOULD BE TRUE --\n        lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound\n        and upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n    )\n)\n\nselect * from validation_errors\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.811954, "supported_languages": null}, "macro.dbt_utils.pretty_log_format": {"name": "pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.pretty_log_format", "macro_sql": "{% macro pretty_log_format(message) %}\n    {{ return(adapter.dispatch('pretty_log_format', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.812242, "supported_languages": null}, "macro.dbt_utils.default__pretty_log_format": {"name": "default__pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.default__pretty_log_format", "macro_sql": "{% macro default__pretty_log_format(message) %}\n    {{ return( dbt_utils.pretty_time() ~ ' + ' ~ message) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.812415, "supported_languages": null}, "macro.dbt_utils._is_relation": {"name": "_is_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_relation.sql", "original_file_path": "macros/jinja_helpers/_is_relation.sql", "unique_id": "macro.dbt_utils._is_relation", "macro_sql": "{% macro _is_relation(obj, macro) %}\n    {%- if not (obj is mapping and obj.get('metadata', {}).get('type', '').endswith('Relation')) -%}\n        {%- do exceptions.raise_compiler_error(\"Macro \" ~ macro ~ \" expected a Relation but received the value: \" ~ obj) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.812876, "supported_languages": null}, "macro.dbt_utils.pretty_time": {"name": "pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.pretty_time", "macro_sql": "{% macro pretty_time(format='%H:%M:%S') %}\n    {{ return(adapter.dispatch('pretty_time', 'dbt_utils')(format)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.813162, "supported_languages": null}, "macro.dbt_utils.default__pretty_time": {"name": "default__pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.default__pretty_time", "macro_sql": "{% macro default__pretty_time(format='%H:%M:%S') %}\n    {{ return(modules.datetime.datetime.now().strftime(format)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.813365, "supported_languages": null}, "macro.dbt_utils.log_info": {"name": "log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.log_info", "macro_sql": "{% macro log_info(message) %}\n    {{ return(adapter.dispatch('log_info', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__log_info"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8136299, "supported_languages": null}, "macro.dbt_utils.default__log_info": {"name": "default__log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.default__log_info", "macro_sql": "{% macro default__log_info(message) %}\n    {{ log(dbt_utils.pretty_log_format(message), info=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8138208, "supported_languages": null}, "macro.dbt_utils.slugify": {"name": "slugify", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/slugify.sql", "original_file_path": "macros/jinja_helpers/slugify.sql", "unique_id": "macro.dbt_utils.slugify", "macro_sql": "{% macro slugify(string) %}\n\n{#- Lower case the string -#}\n{% set string = string | lower %}\n{#- Replace spaces and dashes with underscores -#}\n{% set string = modules.re.sub('[ -]+', '_', string) %}\n{#- Only take letters, numbers, and underscores -#}\n{% set string = modules.re.sub('[^a-z0-9_]+', '', string) %}\n{#- Prepends \"_\" if string begins with a number -#}\n{% set string = modules.re.sub('^[0-9]', '_' + string[0], string) %}\n\n{{ return(string) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.814452, "supported_languages": null}, "macro.dbt_utils._is_ephemeral": {"name": "_is_ephemeral", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_ephemeral.sql", "original_file_path": "macros/jinja_helpers/_is_ephemeral.sql", "unique_id": "macro.dbt_utils._is_ephemeral", "macro_sql": "{% macro _is_ephemeral(obj, macro) %}\n    {%- if obj.is_cte -%}\n        {% set ephemeral_prefix = api.Relation.add_ephemeral_prefix('') %}\n        {% if obj.name.startswith(ephemeral_prefix) %}\n            {% set model_name = obj.name[(ephemeral_prefix|length):] %}\n        {% else %}\n            {% set model_name = obj.name %}\n        {%- endif -%}\n        {% set error_message %}\nThe `{{ macro }}` macro cannot be used with ephemeral models, as it relies on the information schema.\n\n`{{ model_name }}` is an ephemeral model. Consider making it a view or table instead.\n        {% endset %}\n        {%- do exceptions.raise_compiler_error(error_message) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.815308, "supported_languages": null}, "macro.dbt_utils.get_intervals_between": {"name": "get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n    {{ return(adapter.dispatch('get_intervals_between', 'dbt_utils')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.816027, "supported_languages": null}, "macro.dbt_utils.default__get_intervals_between": {"name": "default__get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n    {%- call statement('get_intervals_between', fetch_result=True) %}\n\n        select {{ dbt.datediff(start_date, end_date, datepart) }}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_intervals_between') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values[0]) }}\n    {%- else -%}\n        {{ return(1) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.816648, "supported_languages": null}, "macro.dbt_utils.date_spine": {"name": "date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n    {{ return(adapter.dispatch('date_spine', 'dbt_utils')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8168871, "supported_languages": null}, "macro.dbt_utils.default__date_spine": {"name": "default__date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n\n{# call as follows:\n\ndate_spine(\n    \"day\",\n    \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n    \"dbt.dateadd(week, 1, current_date)\"\n) #}\n\n\nwith rawdata as (\n\n    {{dbt_utils.generate_series(\n        dbt_utils.get_intervals_between(start_date, end_date, datepart)\n    )}}\n\n),\n\nall_periods as (\n\n    select (\n        {{\n            dbt.dateadd(\n                datepart,\n                \"row_number() over (order by 1) - 1\",\n                start_date\n            )\n        }}\n    ) as date_{{datepart}}\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_{{datepart}} <= {{ end_date }}\n\n)\n\nselect * from filtered\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.generate_series", "macro.dbt_utils.get_intervals_between", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.817267, "supported_languages": null}, "macro.dbt_utils.safe_subtract": {"name": "safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.safe_subtract", "macro_sql": "{%- macro safe_subtract(field_list) -%}\n    {{ return(adapter.dispatch('safe_subtract', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_subtract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.817662, "supported_languages": null}, "macro.dbt_utils.default__safe_subtract": {"name": "default__safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.default__safe_subtract", "macro_sql": "\n\n{%- macro default__safe_subtract(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_subtract` macro takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' -\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.818227, "supported_languages": null}, "macro.dbt_utils.nullcheck_table": {"name": "nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.nullcheck_table", "macro_sql": "{% macro nullcheck_table(relation) %}\n    {{ return(adapter.dispatch('nullcheck_table', 'dbt_utils')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.818548, "supported_languages": null}, "macro.dbt_utils.default__nullcheck_table": {"name": "default__nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.default__nullcheck_table", "macro_sql": "{% macro default__nullcheck_table(relation) %}\n\n  {%- do dbt_utils._is_relation(relation, 'nullcheck_table') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'nullcheck_table') -%}\n  {% set cols = adapter.get_columns_in_relation(relation) %}\n\n  select {{ dbt_utils.nullcheck(cols) }}\n  from {{relation}}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.818912, "supported_languages": null}, "macro.dbt_utils.get_relations_by_pattern": {"name": "get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.get_relations_by_pattern", "macro_sql": "{% macro get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_pattern', 'dbt_utils')(schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.819624, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_pattern": {"name": "default__get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_pattern", "macro_sql": "{% macro default__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.820562, "supported_languages": null}, "macro.dbt_utils.get_powers_of_two": {"name": "get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n    {{ return(adapter.dispatch('get_powers_of_two', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.821431, "supported_languages": null}, "macro.dbt_utils.default__get_powers_of_two": {"name": "default__get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n    {% if upper_bound <= 0 %}\n    {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n    {% endif %}\n\n    {% for _ in range(1, 100) %}\n       {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n    {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.821862, "supported_languages": null}, "macro.dbt_utils.generate_series": {"name": "generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n    {{ return(adapter.dispatch('generate_series', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8220549, "supported_languages": null}, "macro.dbt_utils.default__generate_series": {"name": "default__generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n    {% set n = dbt_utils.get_powers_of_two(upper_bound) %}\n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    {% for i in range(n) %}\n    p{{i}}.generated_number * power(2, {{i}})\n    {% if not loop.last %} + {% endif %}\n    {% endfor %}\n    + 1\n    as generated_number\n\n    from\n\n    {% for i in range(n) %}\n    p as p{{i}}\n    {% if not loop.last %} cross join {% endif %}\n    {% endfor %}\n\n    )\n\n    select *\n    from unioned\n    where generated_number <= {{upper_bound}}\n    order by generated_number\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8225868, "supported_languages": null}, "macro.dbt_utils.get_relations_by_prefix": {"name": "get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.get_relations_by_prefix", "macro_sql": "{% macro get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_prefix', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.823308, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_prefix": {"name": "default__get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_prefix", "macro_sql": "{% macro default__get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_prefix_sql(schema, prefix, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8241751, "supported_languages": null}, "macro.dbt_utils.get_tables_by_prefix_sql": {"name": "get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_prefix_sql", "macro_sql": "{% macro get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_prefix_sql', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.824594, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_prefix_sql": {"name": "default__get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_prefix_sql", "macro_sql": "{% macro default__get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n\n    {{ dbt_utils.get_tables_by_pattern_sql(\n        schema_pattern = schema,\n        table_pattern = prefix ~ '%',\n        exclude = exclude,\n        database = database\n    ) }}\n    \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.824883, "supported_languages": null}, "macro.dbt_utils.star": {"name": "star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.star", "macro_sql": "{% macro star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {{ return(adapter.dispatch('star', 'dbt_utils')(from, relation_alias, except, prefix, suffix, quote_identifiers)) }}\r\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__star"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.82621, "supported_languages": null}, "macro.dbt_utils.default__star": {"name": "default__star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.default__star", "macro_sql": "{% macro default__star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {%- do dbt_utils._is_relation(from, 'star') -%}\r\n    {%- do dbt_utils._is_ephemeral(from, 'star') -%}\r\n\r\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\r\n    {%- if not execute -%}\r\n        {% do return('*') %}\r\n    {%- endif -%}\r\n\r\n    {% set cols = dbt_utils.get_filtered_columns_in_relation(from, except) %}\r\n\r\n    {%- if cols|length <= 0 -%}\r\n        {% if flags.WHICH == 'compile' %}\r\n            {% set response %}\r\n*\r\n/* No columns were returned. Maybe the relation doesn't exist yet \r\nor all columns were excluded. This star is only output during  \r\ndbt compile, and exists to keep SQLFluff happy. */\r\n            {% endset %}\r\n            {% do return(response) %}\r\n        {% else %}\r\n            {% do return(\"/* no columns returned from star() macro */\") %}\r\n        {% endif %}\r\n    {%- else -%}\r\n        {%- for col in cols %}\r\n            {%- if relation_alias %}{{ relation_alias }}.{% else %}{%- endif -%}\r\n                {%- if quote_identifiers -%}\r\n                    {{ adapter.quote(col)|trim }} {%- if prefix!='' or suffix!='' %} as {{ adapter.quote(prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {%- else -%}\r\n                    {{ col|trim }} {%- if prefix!='' or suffix!='' %} as {{ (prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {% endif %}\r\n            {%- if not loop.last %},{{ '\\n  ' }}{%- endif -%}\r\n        {%- endfor -%}\r\n    {% endif %}\r\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.827654, "supported_languages": null}, "macro.dbt_utils.unpivot": {"name": "unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.unpivot", "macro_sql": "{% macro unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n    {{ return(adapter.dispatch('unpivot', 'dbt_utils')(relation, cast_to, exclude, remove, field_name, value_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__unpivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.829066, "supported_languages": null}, "macro.dbt_utils.default__unpivot": {"name": "default__unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.default__unpivot", "macro_sql": "{% macro default__unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n\n    {% if not relation %}\n        {{ exceptions.raise_compiler_error(\"Error: argument `relation` is required for `unpivot` macro.\") }}\n    {% endif %}\n\n  {%- set exclude = exclude if exclude is not none else [] %}\n  {%- set remove = remove if remove is not none else [] %}\n\n  {%- set include_cols = [] %}\n\n  {%- set table_columns = {} %}\n\n  {%- do table_columns.update({relation: []}) %}\n\n  {%- do dbt_utils._is_relation(relation, 'unpivot') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'unpivot') -%}\n  {%- set cols = adapter.get_columns_in_relation(relation) %}\n\n  {%- for col in cols -%}\n    {%- if col.column.lower() not in remove|map('lower') and col.column.lower() not in exclude|map('lower') -%}\n      {% do include_cols.append(col) %}\n    {%- endif %}\n  {%- endfor %}\n\n\n  {%- for col in include_cols -%}\n    select\n      {%- for exclude_col in exclude %}\n        {{ exclude_col }},\n      {%- endfor %}\n\n      cast('{{ col.column }}' as {{ dbt.type_string() }}) as {{ field_name }},\n      cast(  {% if col.data_type == 'boolean' %}\n           {{ dbt.cast_bool_to_text(col.column) }}\n             {% else %}\n           {{ col.column }}\n             {% endif %}\n           as {{ cast_to }}) as {{ value_name }}\n\n    from {{ relation }}\n\n    {% if not loop.last -%}\n      union all\n    {% endif -%}\n  {%- endfor -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.type_string", "macro.dbt.cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.830745, "supported_languages": null}, "macro.dbt_utils.safe_divide": {"name": "safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.safe_divide", "macro_sql": "{% macro safe_divide(numerator, denominator) -%}\n  {{ return(adapter.dispatch('safe_divide', 'dbt_utils')(numerator, denominator)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_divide"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8310459, "supported_languages": null}, "macro.dbt_utils.default__safe_divide": {"name": "default__safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.default__safe_divide", "macro_sql": "{% macro default__safe_divide(numerator, denominator) %}\n    ( {{ numerator }} ) / nullif( ( {{ denominator }} ), 0)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8311849, "supported_languages": null}, "macro.dbt_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n    {{ return(adapter.dispatch('union_relations', 'dbt_utils')(relations, column_override, include, exclude, source_column_name, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.834591, "supported_languages": null}, "macro.dbt_utils.default__union_relations": {"name": "default__union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.default__union_relations", "macro_sql": "\n\n{%- macro default__union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n    {%- set all_excludes = [] -%}\n    {%- set all_includes = [] -%}\n\n    {%- if exclude -%}\n        {%- for exc in exclude -%}\n            {%- do all_excludes.append(exc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- if include -%}\n        {%- for inc in include -%}\n            {%- do all_includes.append(inc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- do dbt_utils._is_ephemeral(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column | lower in all_excludes -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column | lower not in all_includes -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n    {%- set dbt_command = flags.WHICH -%}\n\n\n    {% if dbt_command in ['run', 'build'] %}\n    {% if (include | length > 0 or exclude | length > 0) and not column_superset.keys() %}\n        {%- set relations_string -%}\n            {%- for relation in relations -%}\n                {{ relation.name }}\n            {%- if not loop.last %}, {% endif -%}\n            {%- endfor -%}\n        {%- endset -%}\n\n        {%- set error_message -%}\n            There were no columns found to union for relations {{ relations_string }}\n        {%- endset -%}\n\n        {{ exceptions.raise_compiler_error(error_message) }}\n    {%- endif -%}\n    {%- endif -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                {%- if source_column_name is not none %}\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {%- endif %}\n\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ relation }}\n\n            {% if where -%}\n            where {{ where }}\n            {%- endif %}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.838134, "supported_languages": null}, "macro.dbt_utils.group_by": {"name": "group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.group_by", "macro_sql": "{%- macro group_by(n) -%}\n    {{ return(adapter.dispatch('group_by', 'dbt_utils')(n)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__group_by"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.838447, "supported_languages": null}, "macro.dbt_utils.default__group_by": {"name": "default__group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.default__group_by", "macro_sql": "\n\n{%- macro default__group_by(n) -%}\n\n  group by {% for i in range(1, n + 1) -%}\n      {{ i }}{{ ',' if not loop.last }}   \n   {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.838706, "supported_languages": null}, "macro.dbt_utils.deduplicate": {"name": "deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.deduplicate", "macro_sql": "{%- macro deduplicate(relation, partition_by, order_by) -%}\n    {{ return(adapter.dispatch('deduplicate', 'dbt_utils')(relation, partition_by, order_by)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.postgres__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.839461, "supported_languages": null}, "macro.dbt_utils.default__deduplicate": {"name": "default__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.default__deduplicate", "macro_sql": "\n\n{%- macro default__deduplicate(relation, partition_by, order_by) -%}\n\n    with row_numbered as (\n        select\n            _inner.*,\n            row_number() over (\n                partition by {{ partition_by }}\n                order by {{ order_by }}\n            ) as rn\n        from {{ relation }} as _inner\n    )\n\n    select\n        distinct data.*\n    from {{ relation }} as data\n    {#\n    -- Not all DBs will support natural joins but the ones that do include:\n    -- Oracle, MySQL, SQLite, Redshift, Teradata, Materialize, Databricks\n    -- Apache Spark, SingleStore, Vertica\n    -- Those that do not appear to support natural joins include:\n    -- SQLServer, Trino, Presto, Rockset, Athena\n    #}\n    natural join row_numbered\n    where row_numbered.rn = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.83968, "supported_languages": null}, "macro.dbt_utils.redshift__deduplicate": {"name": "redshift__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.redshift__deduplicate", "macro_sql": "{% macro redshift__deduplicate(relation, partition_by, order_by) -%}\n\n    {{ return(dbt_utils.default__deduplicate(relation, partition_by, order_by=order_by)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.839891, "supported_languages": null}, "macro.dbt_utils.postgres__deduplicate": {"name": "postgres__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.postgres__deduplicate", "macro_sql": "\n{%- macro postgres__deduplicate(relation, partition_by, order_by) -%}\n\n    select\n        distinct on ({{ partition_by }}) *\n    from {{ relation }}\n    order by {{ partition_by }}{{ ',' ~ order_by }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.840081, "supported_languages": null}, "macro.dbt_utils.snowflake__deduplicate": {"name": "snowflake__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.snowflake__deduplicate", "macro_sql": "\n{%- macro snowflake__deduplicate(relation, partition_by, order_by) -%}\n\n    select *\n    from {{ relation }}\n    qualify\n        row_number() over (\n            partition by {{ partition_by }}\n            order by {{ order_by }}\n        ) = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8402529, "supported_languages": null}, "macro.dbt_utils.bigquery__deduplicate": {"name": "bigquery__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.bigquery__deduplicate", "macro_sql": "\n{%- macro bigquery__deduplicate(relation, partition_by, order_by) -%}\n\n    select unique.*\n    from (\n        select\n            array_agg (\n                original\n                order by {{ order_by }}\n                limit 1\n            )[offset(0)] unique\n        from {{ relation }} original\n        group by {{ partition_by }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.840426, "supported_languages": null}, "macro.dbt_utils.surrogate_key": {"name": "surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.surrogate_key", "macro_sql": "{%- macro surrogate_key(field_list) -%}\n    {% set frustrating_jinja_feature = varargs %}\n    {{ return(adapter.dispatch('surrogate_key', 'dbt_utils')(field_list, *varargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.840819, "supported_languages": null}, "macro.dbt_utils.default__surrogate_key": {"name": "default__surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.default__surrogate_key", "macro_sql": "\n\n{%- macro default__surrogate_key(field_list) -%}\n\n{%- set error_message = '\nWarning: `dbt_utils.surrogate_key` has been replaced by \\\n`dbt_utils.generate_surrogate_key`. The new macro treats null values \\\ndifferently to empty strings. To restore the behaviour of the original \\\nmacro, add a global variable in dbt_project.yml called \\\n`surrogate_key_treat_nulls_as_empty_strings` to your \\\ndbt_project.yml file with a value of True. \\\nThe {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8410602, "supported_languages": null}, "macro.dbt_utils.safe_add": {"name": "safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.safe_add", "macro_sql": "{%- macro safe_add(field_list) -%}\n    {{ return(adapter.dispatch('safe_add', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8414478, "supported_languages": null}, "macro.dbt_utils.default__safe_add": {"name": "default__safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.default__safe_add", "macro_sql": "\n\n{%- macro default__safe_add(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_add` macro now takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.warn(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' +\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.842005, "supported_languages": null}, "macro.dbt_utils.nullcheck": {"name": "nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.nullcheck", "macro_sql": "{% macro nullcheck(cols) %}\n    {{ return(adapter.dispatch('nullcheck', 'dbt_utils')(cols)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8423529, "supported_languages": null}, "macro.dbt_utils.default__nullcheck": {"name": "default__nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.default__nullcheck", "macro_sql": "{% macro default__nullcheck(cols) %}\n{%- for col in cols %}\n\n    {% if col.is_string() -%}\n\n    nullif({{col.name}},'') as {{col.name}}\n\n    {%- else -%}\n\n    {{col.name}}\n\n    {%- endif -%}\n\n{%- if not loop.last -%} , {%- endif -%}\n\n{%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8426921, "supported_languages": null}, "macro.dbt_utils.get_tables_by_pattern_sql": {"name": "get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_pattern_sql", "macro_sql": "{% macro get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_pattern_sql', 'dbt_utils')\n        (schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.844587, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_pattern_sql": {"name": "default__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_pattern_sql", "macro_sql": "{% macro default__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n        select distinct\n            table_schema as {{ adapter.quote('table_schema') }},\n            table_name as {{ adapter.quote('table_name') }},\n            {{ dbt_utils.get_table_types_sql() }}\n        from {{ database }}.information_schema.tables\n        where table_schema ilike '{{ schema_pattern }}'\n        and table_name ilike '{{ table_pattern }}'\n        and table_name not ilike '{{ exclude }}'\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8449779, "supported_languages": null}, "macro.dbt_utils.bigquery__get_tables_by_pattern_sql": {"name": "bigquery__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.bigquery__get_tables_by_pattern_sql", "macro_sql": "{% macro bigquery__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {% if '%' in schema_pattern %}\n        {% set schemata=dbt_utils._bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% else %}\n        {% set schemata=[schema_pattern] %}\n    {% endif %}\n\n    {% set sql %}\n        {% for schema in schemata %}\n            select distinct\n                table_schema,\n                table_name,\n                {{ dbt_utils.get_table_types_sql() }}\n\n            from {{ adapter.quote(database) }}.{{ schema }}.INFORMATION_SCHEMA.TABLES\n            where lower(table_name) like lower ('{{ table_pattern }}')\n                and lower(table_name) not like lower ('{{ exclude }}')\n\n            {% if not loop.last %} union all {% endif %}\n\n        {% endfor %}\n    {% endset %}\n\n    {{ return(sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._bigquery__get_matching_schemata", "macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8457909, "supported_languages": null}, "macro.dbt_utils._bigquery__get_matching_schemata": {"name": "_bigquery__get_matching_schemata", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils._bigquery__get_matching_schemata", "macro_sql": "{% macro _bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% if execute %}\n\n        {% set sql %}\n        select schema_name from {{ adapter.quote(database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like lower('{{ schema_pattern }}')\n        {% endset %}\n\n        {% set results=run_query(sql) %}\n\n        {% set schemata=results.columns['schema_name'].values() %}\n\n        {{ return(schemata) }}\n\n    {% else %}\n\n        {{ return([]) }}\n\n    {% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.846315, "supported_languages": null}, "macro.dbt_utils.get_column_values": {"name": "get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.get_column_values", "macro_sql": "{% macro get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {{ return(adapter.dispatch('get_column_values', 'dbt_utils')(table, column, order_by, max_records, default, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_column_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8475049, "supported_languages": null}, "macro.dbt_utils.default__get_column_values": {"name": "default__get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.default__get_column_values", "macro_sql": "{% macro default__get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {% set default = [] if not default %}\n        {{ return(default) }}\n    {% endif %}\n\n    {%- do dbt_utils._is_ephemeral(table, 'get_column_values') -%}\n\n    {# Not all relations are tables. Renaming for internal clarity without breaking functionality for anyone using named arguments #}\n    {# TODO: Change the method signature in a future 0.x.0 release #}\n    {%- set target_relation = table -%}\n\n    {# adapter.load_relation is a convenience wrapper to avoid building a Relation when we already have one #}\n    {% set relation_exists = (load_relation(target_relation)) is not none %}\n\n    {%- call statement('get_column_values', fetch_result=true) %}\n\n        {%- if not relation_exists and default is none -%}\n\n          {{ exceptions.raise_compiler_error(\"In get_column_values(): relation \" ~ target_relation ~ \" does not exist and no default value was provided.\") }}\n\n        {%- elif not relation_exists and default is not none -%}\n\n          {{ log(\"Relation \" ~ target_relation ~ \" does not exist. Returning the default value: \" ~ default) }}\n\n          {{ return(default) }}\n\n        {%- else -%}\n\n\n            select\n                {{ column }} as value\n\n            from {{ target_relation }}\n\n            {% if where is not none %}\n            where {{ where }}\n            {% endif %}\n\n            group by {{ column }}\n            order by {{ order_by }}\n\n            {% if max_records is not none %}\n            limit {{ max_records }}\n            {% endif %}\n\n        {% endif %}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_column_values') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values) }}\n    {%- else -%}\n        {{ return(default) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_ephemeral", "macro.dbt.load_relation", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.849062, "supported_languages": null}, "macro.dbt_utils.pivot": {"name": "pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.pivot", "macro_sql": "{% macro pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n    {{ return(adapter.dispatch('pivot', 'dbt_utils')(column, values, alias, agg, cmp, prefix, suffix, then_value, else_value, quote_identifiers, distinct)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.850158, "supported_languages": null}, "macro.dbt_utils.default__pivot": {"name": "default__pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.default__pivot", "macro_sql": "{% macro default__pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n  {% for value in values %}\n    {{ agg }}(\n      {% if distinct %} distinct {% endif %}\n      case\n      when {{ column }} {{ cmp }} '{{ dbt.escape_single_quotes(value) }}'\n        then {{ then_value }}\n      else {{ else_value }}\n      end\n    )\n    {% if alias %}\n      {% if quote_identifiers %}\n            as {{ adapter.quote(prefix ~ value ~ suffix) }}\n      {% else %}\n        as {{ dbt_utils.slugify(prefix ~ value ~ suffix) }}\n      {% endif %}\n    {% endif %}\n    {% if not loop.last %},{% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.escape_single_quotes", "macro.dbt_utils.slugify"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.851037, "supported_languages": null}, "macro.dbt_utils.get_filtered_columns_in_relation": {"name": "get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.get_filtered_columns_in_relation", "macro_sql": "{% macro get_filtered_columns_in_relation(from, except=[]) -%}\n    {{ return(adapter.dispatch('get_filtered_columns_in_relation', 'dbt_utils')(from, except)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.851522, "supported_languages": null}, "macro.dbt_utils.default__get_filtered_columns_in_relation": {"name": "default__get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.default__get_filtered_columns_in_relation", "macro_sql": "{% macro default__get_filtered_columns_in_relation(from, except=[]) -%}\n    {%- do dbt_utils._is_relation(from, 'get_filtered_columns_in_relation') -%}\n    {%- do dbt_utils._is_ephemeral(from, 'get_filtered_columns_in_relation') -%}\n\n    {# -- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {{ return('') }}\n    {% endif %}\n\n    {%- set include_cols = [] %}\n    {%- set cols = adapter.get_columns_in_relation(from) -%}\n    {%- set except = except | map(\"lower\") | list %}\n    {%- for col in cols -%}\n        {%- if col.column|lower not in except -%}\n            {% do include_cols.append(col.column) %}\n        {%- endif %}\n    {%- endfor %}\n\n    {{ return(include_cols) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.852267, "supported_languages": null}, "macro.dbt_utils.width_bucket": {"name": "width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.width_bucket", "macro_sql": "{% macro width_bucket(expr, min_value, max_value, num_buckets) %}\n  {{ return(adapter.dispatch('width_bucket', 'dbt_utils') (expr, min_value, max_value, num_buckets)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__width_bucket"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.853067, "supported_languages": null}, "macro.dbt_utils.default__width_bucket": {"name": "default__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.default__width_bucket", "macro_sql": "{% macro default__width_bucket(expr, min_value, max_value, num_buckets) -%}\n\n    {% set bin_size -%}\n    (( {{ max_value }} - {{ min_value }} ) / {{ num_buckets }} )\n    {%- endset %}\n    (\n        -- to break ties when the amount is eaxtly at the bucket egde\n        case\n            when\n                mod(\n                    {{ dbt.safe_cast(expr, dbt.type_numeric() ) }},\n                    {{ dbt.safe_cast(bin_size, dbt.type_numeric() ) }}\n                ) = 0\n            then 1\n            else 0\n        end\n    ) +\n      -- Anything over max_value goes the N+1 bucket\n    least(\n        ceil(\n            ({{ expr }} - {{ min_value }})/{{ bin_size }}\n        ),\n        {{ num_buckets }} + 1\n    )\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.safe_cast", "macro.dbt.type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8535428, "supported_languages": null}, "macro.dbt_utils.snowflake__width_bucket": {"name": "snowflake__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.snowflake__width_bucket", "macro_sql": "{% macro snowflake__width_bucket(expr, min_value, max_value, num_buckets) %}\n    width_bucket({{ expr }}, {{ min_value }}, {{ max_value }}, {{ num_buckets }} )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.853744, "supported_languages": null}, "macro.dbt_utils.get_query_results_as_dict": {"name": "get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.get_query_results_as_dict", "macro_sql": "{% macro get_query_results_as_dict(query) %}\n    {{ return(adapter.dispatch('get_query_results_as_dict', 'dbt_utils')(query)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_query_results_as_dict"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.854147, "supported_languages": null}, "macro.dbt_utils.default__get_query_results_as_dict": {"name": "default__get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.default__get_query_results_as_dict", "macro_sql": "{% macro default__get_query_results_as_dict(query) %}\n\n{# This macro returns a dictionary of the form {column_name: (tuple_of_results)} #}\n\n    {%- call statement('get_query_results', fetch_result=True,auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {% set sql_results={} %}\n\n    {%- if execute -%}\n        {% set sql_results_table = load_result('get_query_results').table.columns %}\n        {% for column_name, column in sql_results_table.items() %}\n            {% do sql_results.update({column_name: column.values()}) %}\n        {% endfor %}\n    {%- endif -%}\n\n    {{ return(sql_results) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.854767, "supported_languages": null}, "macro.dbt_utils.generate_surrogate_key": {"name": "generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.generate_surrogate_key", "macro_sql": "{%- macro generate_surrogate_key(field_list) -%}\n    {{ return(adapter.dispatch('generate_surrogate_key', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.855245, "supported_languages": null}, "macro.dbt_utils.default__generate_surrogate_key": {"name": "default__generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.default__generate_surrogate_key", "macro_sql": "\n\n{%- macro default__generate_surrogate_key(field_list) -%}\n\n{%- if var('surrogate_key_treat_nulls_as_empty_strings', False) -%}\n    {%- set default_null_value = \"\" -%}\n{%- else -%}\n    {%- set default_null_value = '_dbt_utils_surrogate_key_null_' -%}\n{%- endif -%}\n\n{%- set fields = [] -%}\n\n{%- for field in field_list -%}\n\n    {%- do fields.append(\n        \"coalesce(cast(\" ~ field ~ \" as \" ~ dbt.type_string() ~ \"), '\" ~ default_null_value  ~\"')\"\n    ) -%}\n\n    {%- if not loop.last %}\n        {%- do fields.append(\"'-'\") -%}\n    {%- endif -%}\n\n{%- endfor -%}\n\n{{ dbt.hash(dbt.concat(fields)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.hash", "macro.dbt.concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.855886, "supported_languages": null}, "macro.dbt_utils.get_table_types_sql": {"name": "get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.get_table_types_sql", "macro_sql": "{%- macro get_table_types_sql() -%}\n  {{ return(adapter.dispatch('get_table_types_sql', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils.postgres__get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.856437, "supported_languages": null}, "macro.dbt_utils.default__get_table_types_sql": {"name": "default__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.default__get_table_types_sql", "macro_sql": "{% macro default__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'EXTERNAL TABLE' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.856585, "supported_languages": null}, "macro.dbt_utils.postgres__get_table_types_sql": {"name": "postgres__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.postgres__get_table_types_sql", "macro_sql": "{% macro postgres__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'FOREIGN' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.856729, "supported_languages": null}, "macro.dbt_utils.databricks__get_table_types_sql": {"name": "databricks__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.databricks__get_table_types_sql", "macro_sql": "{% macro databricks__get_table_types_sql() %}\n            case table_type\n                when 'MANAGED' then 'table'\n                when 'BASE TABLE' then 'table'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.85687, "supported_languages": null}, "macro.dbt_utils.get_single_value": {"name": "get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.get_single_value", "macro_sql": "{% macro get_single_value(query, default=none) %}\n    {{ return(adapter.dispatch('get_single_value', 'dbt_utils')(query, default)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_single_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8574111, "supported_languages": null}, "macro.dbt_utils.default__get_single_value": {"name": "default__get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.default__get_single_value", "macro_sql": "{% macro default__get_single_value(query, default) %}\n\n{# This macro returns the (0, 0) record in a query, i.e. the first row of the first column #}\n\n    {%- call statement('get_query_result', fetch_result=True, auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {%- if execute -%}\n\n        {% set r = load_result('get_query_result').table.columns[0].values() %}\n        {% if r | length == 0 %}\n            {% do print('Query `' ~ query ~ '` returned no rows. Using the default value: ' ~ default) %}\n            {% set sql_result = default %}\n        {% else %}\n            {% set sql_result = r[0] %}\n        {% endif %}\n        \n    {%- else -%}\n    \n        {% set sql_result = default %}\n    \n    {%- endif -%}\n\n    {% do return(sql_result) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.858237, "supported_languages": null}, "macro.dbt_utils.degrees_to_radians": {"name": "degrees_to_radians", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.degrees_to_radians", "macro_sql": "{% macro degrees_to_radians(degrees) -%}\n    acos(-1) * {{degrees}} / 180\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8593512, "supported_languages": null}, "macro.dbt_utils.haversine_distance": {"name": "haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.haversine_distance", "macro_sql": "{% macro haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n    {{ return(adapter.dispatch('haversine_distance', 'dbt_utils')(lat1,lon1,lat2,lon2,unit)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__haversine_distance"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.859634, "supported_languages": null}, "macro.dbt_utils.default__haversine_distance": {"name": "default__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.default__haversine_distance", "macro_sql": "{% macro default__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n\n    2 * 3961 * asin(sqrt(power((sin(radians(({{ lat2 }} - {{ lat1 }}) / 2))), 2) +\n    cos(radians({{lat1}})) * cos(radians({{lat2}})) *\n    power((sin(radians(({{ lon2 }} - {{ lon1 }}) / 2))), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.860233, "supported_languages": null}, "macro.dbt_utils.bigquery__haversine_distance": {"name": "bigquery__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.bigquery__haversine_distance", "macro_sql": "{% macro bigquery__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{% set radians_lat1 = dbt_utils.degrees_to_radians(lat1) %}\n{% set radians_lat2 = dbt_utils.degrees_to_radians(lat2) %}\n{% set radians_lon1 = dbt_utils.degrees_to_radians(lon1) %}\n{% set radians_lon2 = dbt_utils.degrees_to_radians(lon2) %}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n    2 * 3961 * asin(sqrt(power(sin(({{ radians_lat2 }} - {{ radians_lat1 }}) / 2), 2) +\n    cos({{ radians_lat1 }}) * cos({{ radians_lat2 }}) *\n    power(sin(({{ radians_lon2 }} - {{ radians_lon1 }}) / 2), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.degrees_to_radians"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8610518, "supported_languages": null}, "macro.spark_utils.get_tables": {"name": "get_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_tables", "macro_sql": "{% macro get_tables(table_regex_pattern='.*') %}\n\n  {% set tables = [] %}\n  {% for database in spark__list_schemas('not_used') %}\n    {% for table in spark__list_relations_without_caching(database[0]) %}\n      {% set db_tablename = database[0] ~ \".\" ~ table[1] %}\n      {% set is_match = modules.re.match(table_regex_pattern, db_tablename) %}\n      {% if is_match %}\n        {% call statement('table_detail', fetch_result=True) -%}\n          describe extended {{ db_tablename }}\n        {% endcall %}\n\n        {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('type', 'TYPE', 'Type'))|first %}\n        {% if table_type[1]|lower != 'view' %}\n          {{ tables.append(db_tablename) }}\n        {% endif %}\n      {% endif %}\n    {% endfor %}\n  {% endfor %}\n  {{ return(tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8665621, "supported_languages": null}, "macro.spark_utils.get_delta_tables": {"name": "get_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_delta_tables", "macro_sql": "{% macro get_delta_tables(table_regex_pattern='.*') %}\n\n  {% set delta_tables = [] %}\n  {% for db_tablename in get_tables(table_regex_pattern) %}\n    {% call statement('table_detail', fetch_result=True) -%}\n      describe extended {{ db_tablename }}\n    {% endcall %}\n\n    {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('provider', 'PROVIDER', 'Provider'))|first %}\n    {% if table_type[1]|lower == 'delta' %}\n      {{ delta_tables.append(db_tablename) }}\n    {% endif %}\n  {% endfor %}\n  {{ return(delta_tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.867279, "supported_languages": null}, "macro.spark_utils.get_statistic_columns": {"name": "get_statistic_columns", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_statistic_columns", "macro_sql": "{% macro get_statistic_columns(table) %}\n\n  {% call statement('input_columns', fetch_result=True) %}\n    SHOW COLUMNS IN {{ table }}\n  {% endcall %}\n  {% set input_columns = load_result('input_columns').table %}\n\n  {% set output_columns = [] %}\n  {% for column in input_columns %}\n    {% call statement('column_information', fetch_result=True) %}\n      DESCRIBE TABLE {{ table }} `{{ column[0] }}`\n    {% endcall %}\n    {% if not load_result('column_information').table[1][1].startswith('struct') and not load_result('column_information').table[1][1].startswith('array')  %}\n      {{ output_columns.append('`' ~ column[0] ~ '`') }}\n    {% endif %}\n  {% endfor %}\n  {{ return(output_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.86819, "supported_languages": null}, "macro.spark_utils.spark_optimize_delta_tables": {"name": "spark_optimize_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_optimize_delta_tables", "macro_sql": "{% macro spark_optimize_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Optimizing \" ~ table) }}\n    {% do run_query(\"optimize \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.86894, "supported_languages": null}, "macro.spark_utils.spark_vacuum_delta_tables": {"name": "spark_vacuum_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_vacuum_delta_tables", "macro_sql": "{% macro spark_vacuum_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Vacuuming \" ~ table) }}\n    {% do run_query(\"vacuum \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.869691, "supported_languages": null}, "macro.spark_utils.spark_analyze_tables": {"name": "spark_analyze_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_analyze_tables", "macro_sql": "{% macro spark_analyze_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set columns = get_statistic_columns(table) | join(',') %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Analyzing \" ~ table) }}\n    {% if columns != '' %}\n      {% do run_query(\"analyze table \" ~ table ~ \" compute statistics for columns \" ~ columns) %}\n    {% endif %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.spark_utils.get_statistic_columns", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.870672, "supported_languages": null}, "macro.spark_utils.spark__concat": {"name": "spark__concat", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/concat.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/concat.sql", "unique_id": "macro.spark_utils.spark__concat", "macro_sql": "{% macro spark__concat(fields) -%}\n    concat({{ fields|join(', ') }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8708549, "supported_languages": null}, "macro.spark_utils.spark__type_numeric": {"name": "spark__type_numeric", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "unique_id": "macro.spark_utils.spark__type_numeric", "macro_sql": "{% macro spark__type_numeric() %}\n    decimal(28, 6)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.870965, "supported_languages": null}, "macro.spark_utils.spark__dateadd": {"name": "spark__dateadd", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "unique_id": "macro.spark_utils.spark__dateadd", "macro_sql": "{% macro spark__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    {%- set clock_component -%}\n        {# make sure the dates + timestamps are real, otherwise raise an error asap #}\n        to_unix_timestamp({{ spark_utils.assert_not_null('to_timestamp', from_date_or_timestamp) }})\n        - to_unix_timestamp({{ spark_utils.assert_not_null('date', from_date_or_timestamp) }})\n    {%- endset -%}\n\n    {%- if datepart in ['day', 'week'] -%}\n        \n        {%- set multiplier = 7 if datepart == 'week' else 1 -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                date_add(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ['month', 'quarter', 'year'] -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'month' -%} 1\n            {%- elif datepart == 'quarter' -%} 3\n            {%- elif datepart == 'year' -%} 12\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                add_months(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            {{ spark_utils.assert_not_null('to_unix_timestamp', from_date_or_timestamp) }}\n            + cast({{interval}} * {{multiplier}} as int)\n        )\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro dateadd not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.873982, "supported_languages": null}, "macro.spark_utils.spark__datediff": {"name": "spark__datediff", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datediff.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datediff.sql", "unique_id": "macro.spark_utils.spark__datediff", "macro_sql": "{% macro spark__datediff(first_date, second_date, datepart) %}\n\n    {%- if datepart in ['day', 'week', 'month', 'quarter', 'year'] -%}\n    \n        {# make sure the dates are real, otherwise raise an error asap #}\n        {% set first_date = spark_utils.assert_not_null('date', first_date) %}\n        {% set second_date = spark_utils.assert_not_null('date', second_date) %}\n    \n    {%- endif -%}\n    \n    {%- if datepart == 'day' -%}\n    \n        datediff({{second_date}}, {{first_date}})\n    \n    {%- elif datepart == 'week' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(datediff({{second_date}}, {{first_date}})/7)\n            else ceil(datediff({{second_date}}, {{first_date}})/7)\n            end\n        \n        -- did we cross a week boundary (Sunday)?\n        + case\n            when {{first_date}} < {{second_date}} and dayofweek({{second_date}}) < dayofweek({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofweek({{second_date}}) > dayofweek({{first_date}}) then -1\n            else 0 end\n\n    {%- elif datepart == 'month' -%}\n\n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}})))\n            else ceil(months_between(date({{second_date}}), date({{first_date}})))\n            end\n        \n        -- did we cross a month boundary?\n        + case\n            when {{first_date}} < {{second_date}} and dayofmonth({{second_date}}) < dayofmonth({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofmonth({{second_date}}) > dayofmonth({{first_date}}) then -1\n            else 0 end\n        \n    {%- elif datepart == 'quarter' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}}))/3)\n            else ceil(months_between(date({{second_date}}), date({{first_date}}))/3)\n            end\n        \n        -- did we cross a quarter boundary?\n        + case\n            when {{first_date}} < {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                < (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then 1\n            when {{first_date}} > {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                > (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then -1\n            else 0 end\n\n    {%- elif datepart == 'year' -%}\n    \n        year({{second_date}}) - year({{first_date}})\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set divisor -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        case when {{first_date}} < {{second_date}}\n            then ceil((\n                {# make sure the timestamps are real, otherwise raise an error asap #}\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            else floor((\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            end\n            \n            {% if datepart == 'millisecond' %}\n                + cast(date_format({{second_date}}, 'SSS') as int)\n                - cast(date_format({{first_date}}, 'SSS') as int)\n            {% endif %}\n            \n            {% if datepart == 'microsecond' %}    \n                {% set capture_str = '[0-9]{4}-[0-9]{2}-[0-9]{2}.[0-9]{2}:[0-9]{2}:[0-9]{2}.([0-9]{6})' %}\n                -- Spark doesn't really support microseconds, so this is a massive hack!\n                -- It will only work if the timestamp-string is of the format\n                -- 'yyyy-MM-dd-HH mm.ss.SSSSSS'\n                + cast(regexp_extract({{second_date}}, '{{capture_str}}', 1) as int)\n                - cast(regexp_extract({{first_date}}, '{{capture_str}}', 1) as int)    \n            {% endif %}\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro datediff not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.881951, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp": {"name": "spark__current_timestamp", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp", "macro_sql": "{% macro spark__current_timestamp() %}\n    current_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.882093, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp_in_utc": {"name": "spark__current_timestamp_in_utc", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp_in_utc", "macro_sql": "{% macro spark__current_timestamp_in_utc() %}\n    unix_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8821719, "supported_languages": null}, "macro.spark_utils.spark__split_part": {"name": "spark__split_part", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/split_part.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/split_part.sql", "unique_id": "macro.spark_utils.spark__split_part", "macro_sql": "{% macro spark__split_part(string_text, delimiter_text, part_number) %}\n\n    {% set delimiter_expr %}\n    \n        -- escape if starts with a special character\n        case when regexp_extract({{ delimiter_text }}, '([^A-Za-z0-9])(.*)', 1) != '_'\n            then concat('\\\\', {{ delimiter_text }})\n            else {{ delimiter_text }} end\n    \n    {% endset %}\n\n    {% set split_part_expr %}\n    \n    split(\n        {{ string_text }},\n        {{ delimiter_expr }}\n        )[({{ part_number - 1 }})]\n    \n    {% endset %}\n    \n    {{ return(split_part_expr) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.882756, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_pattern": {"name": "spark__get_relations_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_pattern", "macro_sql": "{% macro spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n        show table extended in {{ schema_pattern }} like '{{ table_pattern }}'\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n    {%- set tbl_relations = [] -%}\n    {%- for row in table_list['table'] -%}\n        {%- set tbl_relation = api.Relation.create(\n            database=None,\n            schema=row[0],\n            identifier=row[1],\n            type=('view' if 'Type: VIEW' in row[3] else 'table')\n        ) -%}\n        {%- do tbl_relations.append(tbl_relation) -%}\n    {%- endfor -%}\n\n    {{ return(tbl_relations) }}\n    {%- else -%}\n    {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8843899, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_prefix": {"name": "spark__get_relations_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_prefix", "macro_sql": "{% macro spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {% set table_pattern = table_pattern ~ '*' %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.884733, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_pattern": {"name": "spark__get_tables_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_pattern", "macro_sql": "{% macro spark__get_tables_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.885014, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_prefix": {"name": "spark__get_tables_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_prefix", "macro_sql": "{% macro spark__get_tables_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8852952, "supported_languages": null}, "macro.spark_utils.assert_not_null": {"name": "assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.assert_not_null", "macro_sql": "{% macro assert_not_null(function, arg) -%}\n  {{ return(adapter.dispatch('assert_not_null', 'spark_utils')(function, arg)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.spark_utils.default__assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.885619, "supported_languages": null}, "macro.spark_utils.default__assert_not_null": {"name": "default__assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.default__assert_not_null", "macro_sql": "{% macro default__assert_not_null(function, arg) %}\n\n    coalesce({{function}}({{arg}}), nvl2({{function}}({{arg}}), assert_true({{function}}({{arg}}) is not null), null))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8858209, "supported_languages": null}, "macro.spark_utils.spark__convert_timezone": {"name": "spark__convert_timezone", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/snowplow/convert_timezone.sql", "original_file_path": "macros/snowplow/convert_timezone.sql", "unique_id": "macro.spark_utils.spark__convert_timezone", "macro_sql": "{% macro spark__convert_timezone(in_tz, out_tz, in_timestamp) %}\n    from_utc_timestamp(to_utc_timestamp({{in_timestamp}}, {{in_tz}}), {{out_tz}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.886025, "supported_languages": null}, "macro.dbt_date.get_date_dimension": {"name": "get_date_dimension", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/get_date_dimension.sql", "original_file_path": "macros/get_date_dimension.sql", "unique_id": "macro.dbt_date.get_date_dimension", "macro_sql": "{% macro get_date_dimension(start_date, end_date) %}\n    {{ adapter.dispatch('get_date_dimension', 'dbt_date') (start_date, end_date) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.postgres__get_date_dimension"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.894919, "supported_languages": null}, "macro.dbt_date.default__get_date_dimension": {"name": "default__get_date_dimension", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/get_date_dimension.sql", "original_file_path": "macros/get_date_dimension.sql", "unique_id": "macro.dbt_date.default__get_date_dimension", "macro_sql": "{% macro default__get_date_dimension(start_date, end_date) %}\nwith base_dates as (\n    {{ dbt_date.get_base_dates(start_date, end_date) }}\n),\ndates_with_prior_year_dates as (\n\n    select\n        cast(d.date_day as date) as date_day,\n        cast({{ dbt.dateadd('year', -1 , 'd.date_day') }} as date) as prior_year_date_day,\n        cast({{ dbt.dateadd('day', -364 , 'd.date_day') }} as date) as prior_year_over_year_date_day\n    from\n    \tbase_dates d\n\n)\nselect\n    d.date_day,\n    {{ dbt_date.yesterday('d.date_day') }} as prior_date_day,\n    {{ dbt_date.tomorrow('d.date_day') }} as next_date_day,\n    d.prior_year_date_day as prior_year_date_day,\n    d.prior_year_over_year_date_day,\n    {{ dbt_date.day_of_week('d.date_day', isoweek=false) }} as day_of_week,\n    {{ dbt_date.day_of_week('d.date_day', isoweek=true) }} as day_of_week_iso,\n    {{ dbt_date.day_name('d.date_day', short=false) }} as day_of_week_name,\n    {{ dbt_date.day_name('d.date_day', short=true) }} as day_of_week_name_short,\n    {{ dbt_date.day_of_month('d.date_day') }} as day_of_month,\n    {{ dbt_date.day_of_year('d.date_day') }} as day_of_year,\n\n    {{ dbt_date.week_start('d.date_day') }} as week_start_date,\n    {{ dbt_date.week_end('d.date_day') }} as week_end_date,\n    {{ dbt_date.week_start('d.prior_year_over_year_date_day') }} as prior_year_week_start_date,\n    {{ dbt_date.week_end('d.prior_year_over_year_date_day') }} as prior_year_week_end_date,\n    {{ dbt_date.week_of_year('d.date_day') }} as week_of_year,\n\n    {{ dbt_date.iso_week_start('d.date_day') }} as iso_week_start_date,\n    {{ dbt_date.iso_week_end('d.date_day') }} as iso_week_end_date,\n    {{ dbt_date.iso_week_start('d.prior_year_over_year_date_day') }} as prior_year_iso_week_start_date,\n    {{ dbt_date.iso_week_end('d.prior_year_over_year_date_day') }} as prior_year_iso_week_end_date,\n    {{ dbt_date.iso_week_of_year('d.date_day') }} as iso_week_of_year,\n\n    {{ dbt_date.week_of_year('d.prior_year_over_year_date_day') }} as prior_year_week_of_year,\n    {{ dbt_date.iso_week_of_year('d.prior_year_over_year_date_day') }} as prior_year_iso_week_of_year,\n\n    cast({{ dbt_date.date_part('month', 'd.date_day') }} as {{ dbt.type_int() }}) as month_of_year,\n    {{ dbt_date.month_name('d.date_day', short=false) }}  as month_name,\n    {{ dbt_date.month_name('d.date_day', short=true) }}  as month_name_short,\n\n    cast({{ dbt.date_trunc('month', 'd.date_day') }} as date) as month_start_date,\n    cast({{ last_day('d.date_day', 'month') }} as date) as month_end_date,\n\n    cast({{ dbt.date_trunc('month', 'd.prior_year_date_day') }} as date) as prior_year_month_start_date,\n    cast({{ last_day('d.prior_year_date_day', 'month') }} as date) as prior_year_month_end_date,\n\n    cast({{ dbt_date.date_part('quarter', 'd.date_day') }} as {{ dbt.type_int() }}) as quarter_of_year,\n    cast({{ dbt.date_trunc('quarter', 'd.date_day') }} as date) as quarter_start_date,\n    cast({{ last_day('d.date_day', 'quarter') }} as date) as quarter_end_date,\n\n    cast({{ dbt_date.date_part('year', 'd.date_day') }} as {{ dbt.type_int() }}) as year_number,\n    cast({{ dbt.date_trunc('year', 'd.date_day') }} as date) as year_start_date,\n    cast({{ last_day('d.date_day', 'year') }} as date) as year_end_date\nfrom\n    dates_with_prior_year_dates d\norder by 1\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.get_base_dates", "macro.dbt.dateadd", "macro.dbt_date.yesterday", "macro.dbt_date.tomorrow", "macro.dbt_date.day_of_week", "macro.dbt_date.day_name", "macro.dbt_date.day_of_month", "macro.dbt_date.day_of_year", "macro.dbt_date.week_start", "macro.dbt_date.week_end", "macro.dbt_date.week_of_year", "macro.dbt_date.iso_week_start", "macro.dbt_date.iso_week_end", "macro.dbt_date.iso_week_of_year", "macro.dbt_date.date_part", "macro.dbt.type_int", "macro.dbt_date.month_name", "macro.dbt.date_trunc", "macro.dbt.last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.897311, "supported_languages": null}, "macro.dbt_date.postgres__get_date_dimension": {"name": "postgres__get_date_dimension", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/get_date_dimension.sql", "original_file_path": "macros/get_date_dimension.sql", "unique_id": "macro.dbt_date.postgres__get_date_dimension", "macro_sql": "{% macro postgres__get_date_dimension(start_date, end_date) %}\nwith base_dates as (\n    {{ dbt_date.get_base_dates(start_date, end_date) }}\n),\ndates_with_prior_year_dates as (\n\n    select\n        cast(d.date_day as date) as date_day,\n        cast({{ dbt.dateadd('year', -1 , 'd.date_day') }} as date) as prior_year_date_day,\n        cast({{ dbt.dateadd('day', -364 , 'd.date_day') }} as date) as prior_year_over_year_date_day\n    from\n    \tbase_dates d\n\n)\nselect\n    d.date_day,\n    {{ dbt_date.yesterday('d.date_day') }} as prior_date_day,\n    {{ dbt_date.tomorrow('d.date_day') }} as next_date_day,\n    d.prior_year_date_day as prior_year_date_day,\n    d.prior_year_over_year_date_day,\n    {{ dbt_date.day_of_week('d.date_day', isoweek=true) }} as day_of_week,\n\n    {{ dbt_date.day_name('d.date_day', short=false) }} as day_of_week_name,\n    {{ dbt_date.day_name('d.date_day', short=true) }} as day_of_week_name_short,\n    {{ dbt_date.day_of_month('d.date_day') }} as day_of_month,\n    {{ dbt_date.day_of_year('d.date_day') }} as day_of_year,\n\n    {{ dbt_date.week_start('d.date_day') }} as week_start_date,\n    {{ dbt_date.week_end('d.date_day') }} as week_end_date,\n    {{ dbt_date.week_start('d.prior_year_over_year_date_day') }} as prior_year_week_start_date,\n    {{ dbt_date.week_end('d.prior_year_over_year_date_day') }} as prior_year_week_end_date,\n    {{ dbt_date.week_of_year('d.date_day') }} as week_of_year,\n\n    {{ dbt_date.iso_week_start('d.date_day') }} as iso_week_start_date,\n    {{ dbt_date.iso_week_end('d.date_day') }} as iso_week_end_date,\n    {{ dbt_date.iso_week_start('d.prior_year_over_year_date_day') }} as prior_year_iso_week_start_date,\n    {{ dbt_date.iso_week_end('d.prior_year_over_year_date_day') }} as prior_year_iso_week_end_date,\n    {{ dbt_date.iso_week_of_year('d.date_day') }} as iso_week_of_year,\n\n    {{ dbt_date.week_of_year('d.prior_year_over_year_date_day') }} as prior_year_week_of_year,\n    {{ dbt_date.iso_week_of_year('d.prior_year_over_year_date_day') }} as prior_year_iso_week_of_year,\n\n    cast({{ dbt_date.date_part('month', 'd.date_day') }} as {{ dbt.type_int() }}) as month_of_year,\n    {{ dbt_date.month_name('d.date_day', short=false) }}  as month_name,\n    {{ dbt_date.month_name('d.date_day', short=true) }}  as month_name_short,\n\n    cast({{ dbt.date_trunc('month', 'd.date_day') }} as date) as month_start_date,\n    cast({{ last_day('d.date_day', 'month') }} as date) as month_end_date,\n\n    cast({{ dbt.date_trunc('month', 'd.prior_year_date_day') }} as date) as prior_year_month_start_date,\n    cast({{ last_day('d.prior_year_date_day', 'month') }} as date) as prior_year_month_end_date,\n\n    cast({{ dbt_date.date_part('quarter', 'd.date_day') }} as {{ dbt.type_int() }}) as quarter_of_year,\n    cast({{ dbt.date_trunc('quarter', 'd.date_day') }} as date) as quarter_start_date,\n    {# last_day does not support quarter because postgresql does not support quarter interval. #}\n    cast({{dbt.dateadd('day', '-1', dbt.dateadd('month', '3', dbt.date_trunc('quarter', 'd.date_day')))}} as date) as quarter_end_date,\n\n    cast({{ dbt_date.date_part('year', 'd.date_day') }} as {{ dbt.type_int() }}) as year_number,\n    cast({{ dbt.date_trunc('year', 'd.date_day') }} as date) as year_start_date,\n    cast({{ last_day('d.date_day', 'year') }} as date) as year_end_date\nfrom\n    dates_with_prior_year_dates d\norder by 1\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.get_base_dates", "macro.dbt.dateadd", "macro.dbt_date.yesterday", "macro.dbt_date.tomorrow", "macro.dbt_date.day_of_week", "macro.dbt_date.day_name", "macro.dbt_date.day_of_month", "macro.dbt_date.day_of_year", "macro.dbt_date.week_start", "macro.dbt_date.week_end", "macro.dbt_date.week_of_year", "macro.dbt_date.iso_week_start", "macro.dbt_date.iso_week_end", "macro.dbt_date.iso_week_of_year", "macro.dbt_date.date_part", "macro.dbt.type_int", "macro.dbt_date.month_name", "macro.dbt.date_trunc", "macro.dbt.last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.8996851, "supported_languages": null}, "macro.dbt_date.get_base_dates": {"name": "get_base_dates", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/get_base_dates.sql", "original_file_path": "macros/get_base_dates.sql", "unique_id": "macro.dbt_date.get_base_dates", "macro_sql": "{% macro get_base_dates(start_date=None, end_date=None, n_dateparts=None, datepart=\"day\") %}\n    {{ adapter.dispatch('get_base_dates', 'dbt_date') (start_date, end_date, n_dateparts, datepart) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__get_base_dates"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9007401, "supported_languages": null}, "macro.dbt_date.default__get_base_dates": {"name": "default__get_base_dates", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/get_base_dates.sql", "original_file_path": "macros/get_base_dates.sql", "unique_id": "macro.dbt_date.default__get_base_dates", "macro_sql": "{% macro default__get_base_dates(start_date, end_date, n_dateparts, datepart) %}\n\n{%- if start_date and end_date -%}\n{%- set start_date=\"cast('\" ~ start_date ~ \"' as \" ~ dbt.type_timestamp() ~ \")\" -%}\n{%- set end_date=\"cast('\" ~ end_date ~ \"' as \" ~ dbt.type_timestamp() ~ \")\"  -%}\n\n{%- elif n_dateparts and datepart -%}\n\n{%- set start_date = dbt.dateadd(datepart, -1 * n_dateparts, dbt_date.today()) -%}\n{%- set end_date = dbt_date.tomorrow() -%}\n{%- endif -%}\n\nwith date_spine as\n(\n\n    {{ dbt_date.date_spine(\n        datepart=datepart,\n        start_date=start_date,\n        end_date=end_date,\n       )\n    }}\n\n)\nselect\n    cast(d.date_{{ datepart }} as {{ dbt.type_timestamp() }}) as date_{{ datepart }}\nfrom\n    date_spine d\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.dateadd", "macro.dbt_date.today", "macro.dbt_date.tomorrow", "macro.dbt_date.date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.901515, "supported_languages": null}, "macro.dbt_date.bigquery__get_base_dates": {"name": "bigquery__get_base_dates", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/get_base_dates.sql", "original_file_path": "macros/get_base_dates.sql", "unique_id": "macro.dbt_date.bigquery__get_base_dates", "macro_sql": "{% macro bigquery__get_base_dates(start_date, end_date, n_dateparts, datepart) %}\n\n{%- if start_date and end_date -%}\n{%- set start_date=\"cast('\" ~ start_date ~ \"' as date )\" -%}\n{%- set end_date=\"cast('\" ~ end_date ~ \"' as date )\" -%}\n\n{%- elif n_dateparts and datepart -%}\n\n{%- set start_date = dbt.dateadd(datepart, -1 * n_dateparts, dbt_date.today()) -%}\n{%- set end_date = dbt_date.tomorrow() -%}\n{%- endif -%}\n\nwith date_spine as\n(\n\n    {{ dbt_date.date_spine(\n        datepart=datepart,\n        start_date=start_date,\n        end_date=end_date,\n       )\n    }}\n\n)\nselect\n    cast(d.date_{{ datepart }} as {{ dbt.type_timestamp() }}) as date_{{ datepart }}\nfrom\n    date_spine d\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt_date.today", "macro.dbt_date.tomorrow", "macro.dbt_date.date_spine", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.902215, "supported_languages": null}, "macro.dbt_date.get_intervals_between": {"name": "get_intervals_between", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/date_spine.sql", "original_file_path": "macros/_utils/date_spine.sql", "unique_id": "macro.dbt_date.get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n    {{ return(adapter.dispatch('get_intervals_between', 'dbt_date')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.902959, "supported_languages": null}, "macro.dbt_date.default__get_intervals_between": {"name": "default__get_intervals_between", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/date_spine.sql", "original_file_path": "macros/_utils/date_spine.sql", "unique_id": "macro.dbt_date.default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n    {%- call statement('get_intervals_between', fetch_result=True) %}\n\n        select {{ dbt.datediff(start_date, end_date, datepart) }}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_intervals_between') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values[0]) }}\n    {%- else -%}\n        {{ return(1) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.903574, "supported_languages": null}, "macro.dbt_date.date_spine": {"name": "date_spine", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/date_spine.sql", "original_file_path": "macros/_utils/date_spine.sql", "unique_id": "macro.dbt_date.date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n    {{ return(adapter.dispatch('date_spine', 'dbt_date')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.90381, "supported_languages": null}, "macro.dbt_date.default__date_spine": {"name": "default__date_spine", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/date_spine.sql", "original_file_path": "macros/_utils/date_spine.sql", "unique_id": "macro.dbt_date.default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n\n{# call as follows:\n\ndate_spine(\n    \"day\",\n    \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n    \"dbt.dateadd(week, 1, current_date)\"\n) #}\n\n\nwith rawdata as (\n\n    {{\n        dbt_date.generate_series(\n            dbt_date.get_intervals_between(start_date, end_date, datepart)\n        )\n    }}\n\n),\n\nall_periods as (\n\n    select (\n        {{\n            dbt.dateadd(\n                datepart,\n                \"row_number() over (order by 1) - 1\",\n                start_date\n            )\n        }}\n    ) as date_{{datepart}}\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_{{datepart}} <= {{ end_date }}\n\n)\n\nselect * from filtered\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.generate_series", "macro.dbt_date.get_intervals_between", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.904185, "supported_languages": null}, "macro.dbt_date.get_powers_of_two": {"name": "get_powers_of_two", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/generate_series.sql", "original_file_path": "macros/_utils/generate_series.sql", "unique_id": "macro.dbt_date.get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n    {{ return(adapter.dispatch('get_powers_of_two', 'dbt_date')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.905065, "supported_languages": null}, "macro.dbt_date.default__get_powers_of_two": {"name": "default__get_powers_of_two", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/generate_series.sql", "original_file_path": "macros/_utils/generate_series.sql", "unique_id": "macro.dbt_date.default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n    {% if upper_bound <= 0 %}\n    {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n    {% endif %}\n\n    {% for _ in range(1, 100) %}\n       {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n    {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.905493, "supported_languages": null}, "macro.dbt_date.generate_series": {"name": "generate_series", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/generate_series.sql", "original_file_path": "macros/_utils/generate_series.sql", "unique_id": "macro.dbt_date.generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n    {{ return(adapter.dispatch('generate_series', 'dbt_date')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9056902, "supported_languages": null}, "macro.dbt_date.default__generate_series": {"name": "default__generate_series", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/_utils/generate_series.sql", "original_file_path": "macros/_utils/generate_series.sql", "unique_id": "macro.dbt_date.default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n    {% set n = dbt_date.get_powers_of_two(upper_bound) %}\n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    {% for i in range(n) %}\n    p{{i}}.generated_number * power(2, {{i}})\n    {% if not loop.last %} + {% endif %}\n    {% endfor %}\n    + 1\n    as generated_number\n\n    from\n\n    {% for i in range(n) %}\n    p as p{{i}}\n    {% if not loop.last %} cross join {% endif %}\n    {% endfor %}\n\n    )\n\n    select *\n    from unioned\n    where generated_number <= {{upper_bound}}\n    order by generated_number\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.906228, "supported_languages": null}, "macro.dbt_date.get_fiscal_year_dates": {"name": "get_fiscal_year_dates", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/fiscal_date/get_fiscal_year_dates.sql", "original_file_path": "macros/fiscal_date/get_fiscal_year_dates.sql", "unique_id": "macro.dbt_date.get_fiscal_year_dates", "macro_sql": "{% macro get_fiscal_year_dates(dates, year_end_month=12, week_start_day=1, shift_year=1) %}\n{{ adapter.dispatch('get_fiscal_year_dates', 'dbt_date') (dates, year_end_month, week_start_day, shift_year) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__get_fiscal_year_dates"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9079812, "supported_languages": null}, "macro.dbt_date.default__get_fiscal_year_dates": {"name": "default__get_fiscal_year_dates", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/fiscal_date/get_fiscal_year_dates.sql", "original_file_path": "macros/fiscal_date/get_fiscal_year_dates.sql", "unique_id": "macro.dbt_date.default__get_fiscal_year_dates", "macro_sql": "{% macro default__get_fiscal_year_dates(dates, year_end_month, week_start_day, shift_year) %}\n-- this gets all the dates within a fiscal year\n-- determined by the given year-end-month\n-- ending on the saturday closest to that month's end date\nwith date_dimension as (\n    select * from {{ dates }}\n),\nyear_month_end as (\n\n    select\n       d.year_number - {{ shift_year }} as fiscal_year_number,\n       d.month_end_date\n    from\n        date_dimension d\n    where\n        d.month_of_year = {{ year_end_month }}\n    group by 1,2\n\n),\nweeks as (\n\n    select\n        d.year_number,\n        d.month_of_year,\n        d.date_day as week_start_date,\n        cast({{ dbt.dateadd('day', 6, 'd.date_day') }} as date) as week_end_date\n    from\n        date_dimension d\n    where\n        d.day_of_week = {{ week_start_day }}\n\n),\n-- get all the weeks that start in the month the year ends\nyear_week_ends as (\n\n    select\n        d.year_number - {{ shift_year }} as fiscal_year_number,\n        d.week_end_date\n    from\n        weeks d\n    where\n        d.month_of_year = {{ year_end_month }}\n    group by\n        1,2\n\n),\n-- then calculate which Saturday is closest to month end\nweeks_at_month_end as (\n\n    select\n        d.fiscal_year_number,\n        d.week_end_date,\n        m.month_end_date,\n        rank() over\n            (partition by d.fiscal_year_number\n                order by\n                abs({{ dbt.datediff('d.week_end_date', 'm.month_end_date', 'day') }})\n\n            ) as closest_to_month_end\n    from\n        year_week_ends d\n        join\n        year_month_end m on d.fiscal_year_number = m.fiscal_year_number\n),\nfiscal_year_range as (\n\n    select\n        w.fiscal_year_number,\n        cast(\n            {{ dbt.dateadd('day', 1,\n            'lag(w.week_end_date) over(order by w.week_end_date)') }}\n            as date) as fiscal_year_start_date,\n        w.week_end_date as fiscal_year_end_date\n    from\n        weeks_at_month_end w\n    where\n        w.closest_to_month_end = 1\n\n),\nfiscal_year_dates as (\n\n    select\n        d.date_day,\n        m.fiscal_year_number,\n        m.fiscal_year_start_date,\n        m.fiscal_year_end_date,\n        w.week_start_date,\n        w.week_end_date,\n        -- we reset the weeks of the year starting with the merch year start date\n        dense_rank()\n            over(\n                partition by m.fiscal_year_number\n                order by w.week_start_date\n                ) as fiscal_week_of_year\n    from\n        date_dimension d\n        join\n        fiscal_year_range m on d.date_day between m.fiscal_year_start_date and m.fiscal_year_end_date\n        join\n        weeks w on d.date_day between w.week_start_date and w.week_end_date\n\n)\nselect * from fiscal_year_dates order by 1\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.908588, "supported_languages": null}, "macro.dbt_date.get_fiscal_periods": {"name": "get_fiscal_periods", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/fiscal_date/get_fiscal_periods.sql", "original_file_path": "macros/fiscal_date/get_fiscal_periods.sql", "unique_id": "macro.dbt_date.get_fiscal_periods", "macro_sql": "{% macro get_fiscal_periods(dates, year_end_month, week_start_day, shift_year=1) %}\n{#\nThis macro requires you to pass in a ref to a date dimension, created via\ndbt_date.get_date_dimension()s\n#}\nwith fscl_year_dates_for_periods as (\n    {{ dbt_date.get_fiscal_year_dates(dates, year_end_month, week_start_day, shift_year) }}\n),\nfscl_year_w13 as (\n\n    select\n        f.*,\n        -- We count the weeks in a 13 week period\n        -- and separate the 4-5-4 week sequences\n        mod(cast(\n            (f.fiscal_week_of_year-1) as {{ dbt.type_int() }}\n            ), 13) as w13_number,\n        -- Chop weeks into 13 week merch quarters\n        cast(\n            least(\n                floor((f.fiscal_week_of_year-1)/13.0)\n                , 3)\n            as {{ dbt.type_int() }}) as quarter_number\n    from\n        fscl_year_dates_for_periods f\n\n),\nfscl_periods as (\n\n    select\n        f.date_day,\n        f.fiscal_year_number,\n        f.week_start_date,\n        f.week_end_date,\n        f.fiscal_week_of_year,\n        case\n            -- we move week 53 into the 3rd period of the quarter\n            when f.fiscal_week_of_year = 53 then 3\n            when f.w13_number between 0 and 3 then 1\n            when f.w13_number between 4 and 8 then 2\n            when f.w13_number between 9 and 12 then 3\n        end as period_of_quarter,\n        f.quarter_number\n    from\n        fscl_year_w13 f\n\n),\nfscl_periods_quarters as (\n\n    select\n        f.*,\n        cast((\n            (f.quarter_number * 3) + f.period_of_quarter\n         ) as {{ dbt.type_int() }}) as fiscal_period_number\n    from\n        fscl_periods f\n\n)\nselect\n    date_day,\n    fiscal_year_number,\n    week_start_date,\n    week_end_date,\n    fiscal_week_of_year,\n    dense_rank() over(partition by fiscal_period_number order by fiscal_week_of_year) as fiscal_week_of_period,\n    fiscal_period_number,\n    quarter_number+1 as fiscal_quarter_number,\n    period_of_quarter as fiscal_period_of_quarter\nfrom\n    fscl_periods_quarters\norder by 1,2\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_date.get_fiscal_year_dates", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.909515, "supported_languages": null}, "macro.dbt_date.tomorrow": {"name": "tomorrow", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/tomorrow.sql", "original_file_path": "macros/calendar_date/tomorrow.sql", "unique_id": "macro.dbt_date.tomorrow", "macro_sql": "{%- macro tomorrow(date=None, tz=None) -%}\n{{ dbt_date.n_days_away(1, date, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_days_away"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.909747, "supported_languages": null}, "macro.dbt_date.next_week": {"name": "next_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/next_week.sql", "original_file_path": "macros/calendar_date/next_week.sql", "unique_id": "macro.dbt_date.next_week", "macro_sql": "{%- macro next_week(tz=None) -%}\n{{ dbt_date.n_weeks_away(1, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_weeks_away"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.909935, "supported_languages": null}, "macro.dbt_date.next_month_name": {"name": "next_month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/next_month_name.sql", "original_file_path": "macros/calendar_date/next_month_name.sql", "unique_id": "macro.dbt_date.next_month_name", "macro_sql": "{%- macro next_month_name(short=True, tz=None) -%}\n{{ dbt_date.month_name(dbt_date.next_month(tz), short=short) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.month_name", "macro.dbt_date.next_month"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.910178, "supported_languages": null}, "macro.dbt_date.next_month": {"name": "next_month", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/next_month.sql", "original_file_path": "macros/calendar_date/next_month.sql", "unique_id": "macro.dbt_date.next_month", "macro_sql": "{%- macro next_month(tz=None) -%}\n{{ dbt_date.n_months_away(1, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_months_away"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.910367, "supported_languages": null}, "macro.dbt_date.day_name": {"name": "day_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_name.sql", "original_file_path": "macros/calendar_date/day_name.sql", "unique_id": "macro.dbt_date.day_name", "macro_sql": "{%- macro day_name(date, short=True) -%}\n    {{ adapter.dispatch('day_name', 'dbt_date') (date, short) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.postgres__day_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.911017, "supported_languages": null}, "macro.dbt_date.default__day_name": {"name": "default__day_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_name.sql", "original_file_path": "macros/calendar_date/day_name.sql", "unique_id": "macro.dbt_date.default__day_name", "macro_sql": "\n\n{%- macro default__day_name(date, short) -%}\n{%- set f = 'Dy' if short else 'Day' -%}\n    to_char({{ date }}, '{{ f }}')\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.911288, "supported_languages": null}, "macro.dbt_date.snowflake__day_name": {"name": "snowflake__day_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_name.sql", "original_file_path": "macros/calendar_date/day_name.sql", "unique_id": "macro.dbt_date.snowflake__day_name", "macro_sql": "\n\n{%- macro snowflake__day_name(date, short) -%}\n    {%- if short -%}\n    dayname({{ date }})\n    {%- else -%}\n    -- long version not implemented on Snowflake so we're doing it manually :/\n    case dayname({{ date }})\n        when 'Mon' then 'Monday'\n        when 'Tue' then 'Tuesday'\n        when 'Wed' then 'Wednesday'\n        when 'Thu' then 'Thursday'\n        when 'Fri' then 'Friday'\n        when 'Sat' then 'Saturday'\n        when 'Sun' then 'Sunday'\n    end\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9115, "supported_languages": null}, "macro.dbt_date.bigquery__day_name": {"name": "bigquery__day_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_name.sql", "original_file_path": "macros/calendar_date/day_name.sql", "unique_id": "macro.dbt_date.bigquery__day_name", "macro_sql": "\n\n{%- macro bigquery__day_name(date, short) -%}\n{%- set f = '%a' if short else '%A' -%}\n    format_date('{{ f }}', cast({{ date }} as date))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.911704, "supported_languages": null}, "macro.dbt_date.postgres__day_name": {"name": "postgres__day_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_name.sql", "original_file_path": "macros/calendar_date/day_name.sql", "unique_id": "macro.dbt_date.postgres__day_name", "macro_sql": "\n\n{%- macro postgres__day_name(date, short) -%}\n{# FM = Fill mode, which suppresses padding blanks #}\n{%- set f = 'FMDy' if short else 'FMDay' -%}\n    to_char({{ date }}, '{{ f }}')\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.911912, "supported_languages": null}, "macro.dbt_date.to_unixtimestamp": {"name": "to_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/to_unixtimestamp.sql", "original_file_path": "macros/calendar_date/to_unixtimestamp.sql", "unique_id": "macro.dbt_date.to_unixtimestamp", "macro_sql": "{%- macro to_unixtimestamp(timestamp) -%}\n    {{ adapter.dispatch('to_unixtimestamp', 'dbt_date') (timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__to_unixtimestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.912225, "supported_languages": null}, "macro.dbt_date.default__to_unixtimestamp": {"name": "default__to_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/to_unixtimestamp.sql", "original_file_path": "macros/calendar_date/to_unixtimestamp.sql", "unique_id": "macro.dbt_date.default__to_unixtimestamp", "macro_sql": "\n\n{%- macro default__to_unixtimestamp(timestamp) -%}\n    {{ dbt_date.date_part('epoch', timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.912367, "supported_languages": null}, "macro.dbt_date.snowflake__to_unixtimestamp": {"name": "snowflake__to_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/to_unixtimestamp.sql", "original_file_path": "macros/calendar_date/to_unixtimestamp.sql", "unique_id": "macro.dbt_date.snowflake__to_unixtimestamp", "macro_sql": "\n\n{%- macro snowflake__to_unixtimestamp(timestamp) -%}\n    {{ dbt_date.date_part('epoch_seconds', timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.912513, "supported_languages": null}, "macro.dbt_date.bigquery__to_unixtimestamp": {"name": "bigquery__to_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/to_unixtimestamp.sql", "original_file_path": "macros/calendar_date/to_unixtimestamp.sql", "unique_id": "macro.dbt_date.bigquery__to_unixtimestamp", "macro_sql": "\n\n{%- macro bigquery__to_unixtimestamp(timestamp) -%}\n    unix_seconds({{ timestamp }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.912617, "supported_languages": null}, "macro.dbt_date.n_days_away": {"name": "n_days_away", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/n_days_away.sql", "original_file_path": "macros/calendar_date/n_days_away.sql", "unique_id": "macro.dbt_date.n_days_away", "macro_sql": "{%- macro n_days_away(n, date=None, tz=None) -%}\n{{ dbt_date.n_days_ago(-1 * n, date, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_days_ago"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.912866, "supported_languages": null}, "macro.dbt_date.week_start": {"name": "week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_start.sql", "original_file_path": "macros/calendar_date/week_start.sql", "unique_id": "macro.dbt_date.week_start", "macro_sql": "{%- macro week_start(date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{{ adapter.dispatch('week_start', 'dbt_date') (dt) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt_date.postgres__week_start"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.913339, "supported_languages": null}, "macro.dbt_date.default__week_start": {"name": "default__week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_start.sql", "original_file_path": "macros/calendar_date/week_start.sql", "unique_id": "macro.dbt_date.default__week_start", "macro_sql": "{%- macro default__week_start(date) -%}\ncast({{ dbt.date_trunc('week', date) }} as date)\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.913492, "supported_languages": null}, "macro.dbt_date.snowflake__week_start": {"name": "snowflake__week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_start.sql", "original_file_path": "macros/calendar_date/week_start.sql", "unique_id": "macro.dbt_date.snowflake__week_start", "macro_sql": "\n\n{%- macro snowflake__week_start(date) -%}\n    {#\n        Get the day of week offset: e.g. if the date is a Sunday,\n        dbt_date.day_of_week returns 1, so we subtract 1 to get a 0 offset\n    #}\n    {% set off_set = dbt_date.day_of_week(date, isoweek=False) ~ \" - 1\" %}\n    cast({{ dbt.dateadd(\"day\", \"-1 * (\" ~ off_set ~ \")\", date) }} as date)\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.day_of_week", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.913794, "supported_languages": null}, "macro.dbt_date.postgres__week_start": {"name": "postgres__week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_start.sql", "original_file_path": "macros/calendar_date/week_start.sql", "unique_id": "macro.dbt_date.postgres__week_start", "macro_sql": "\n\n{%- macro postgres__week_start(date) -%}\n-- Sunday as week start date\ncast({{ dbt.dateadd('day', -1, dbt.date_trunc('week', dbt.dateadd('day', 1, date))) }} as date)\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.91406, "supported_languages": null}, "macro.dbt_date.iso_week_start": {"name": "iso_week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_start.sql", "original_file_path": "macros/calendar_date/iso_week_start.sql", "unique_id": "macro.dbt_date.iso_week_start", "macro_sql": "{%- macro iso_week_start(date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{{ adapter.dispatch('iso_week_start', 'dbt_date') (dt) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt_date.postgres__iso_week_start"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9145558, "supported_languages": null}, "macro.dbt_date._iso_week_start": {"name": "_iso_week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_start.sql", "original_file_path": "macros/calendar_date/iso_week_start.sql", "unique_id": "macro.dbt_date._iso_week_start", "macro_sql": "{%- macro _iso_week_start(date, week_type) -%}\ncast({{ dbt.date_trunc(week_type, date) }} as date)\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.914717, "supported_languages": null}, "macro.dbt_date.default__iso_week_start": {"name": "default__iso_week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_start.sql", "original_file_path": "macros/calendar_date/iso_week_start.sql", "unique_id": "macro.dbt_date.default__iso_week_start", "macro_sql": "\n\n{%- macro default__iso_week_start(date) -%}\n{{ dbt_date._iso_week_start(date, 'isoweek') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_start"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.914859, "supported_languages": null}, "macro.dbt_date.snowflake__iso_week_start": {"name": "snowflake__iso_week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_start.sql", "original_file_path": "macros/calendar_date/iso_week_start.sql", "unique_id": "macro.dbt_date.snowflake__iso_week_start", "macro_sql": "\n\n{%- macro snowflake__iso_week_start(date) -%}\n{{ dbt_date._iso_week_start(date, 'week') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_start"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.914998, "supported_languages": null}, "macro.dbt_date.postgres__iso_week_start": {"name": "postgres__iso_week_start", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_start.sql", "original_file_path": "macros/calendar_date/iso_week_start.sql", "unique_id": "macro.dbt_date.postgres__iso_week_start", "macro_sql": "\n\n{%- macro postgres__iso_week_start(date) -%}\n{{ dbt_date._iso_week_start(date, 'week') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_start"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.915137, "supported_languages": null}, "macro.dbt_date.n_days_ago": {"name": "n_days_ago", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/n_days_ago.sql", "original_file_path": "macros/calendar_date/n_days_ago.sql", "unique_id": "macro.dbt_date.n_days_ago", "macro_sql": "{%- macro n_days_ago(n, date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{%- set n = n|int -%}\ncast({{ dbt.dateadd('day', -1 * n, dt) }} as date)\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.915549, "supported_languages": null}, "macro.dbt_date.last_week": {"name": "last_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/last_week.sql", "original_file_path": "macros/calendar_date/last_week.sql", "unique_id": "macro.dbt_date.last_week", "macro_sql": "{%- macro last_week(tz=None) -%}\n{{ dbt_date.n_weeks_ago(1, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_weeks_ago"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9157472, "supported_languages": null}, "macro.dbt_date.now": {"name": "now", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/now.sql", "original_file_path": "macros/calendar_date/now.sql", "unique_id": "macro.dbt_date.now", "macro_sql": "{%- macro now(tz=None) -%}\n{{ dbt_date.convert_timezone(dbt.current_timestamp(), tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.convert_timezone", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.915951, "supported_languages": null}, "macro.dbt_date.periods_since": {"name": "periods_since", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/periods_since.sql", "original_file_path": "macros/calendar_date/periods_since.sql", "unique_id": "macro.dbt_date.periods_since", "macro_sql": "{%- macro periods_since(date_col, period_name='day', tz=None) -%}\n{{ dbt.datediff(date_col, dbt_date.now(tz), period_name) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.datediff", "macro.dbt_date.now"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.91628, "supported_languages": null}, "macro.dbt_date.today": {"name": "today", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/today.sql", "original_file_path": "macros/calendar_date/today.sql", "unique_id": "macro.dbt_date.today", "macro_sql": "{%- macro today(tz=None) -%}\ncast({{ dbt_date.now(tz) }} as date)\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.now"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.916455, "supported_languages": null}, "macro.dbt_date.last_month": {"name": "last_month", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/last_month.sql", "original_file_path": "macros/calendar_date/last_month.sql", "unique_id": "macro.dbt_date.last_month", "macro_sql": "{%- macro last_month(tz=None) -%}\n{{ dbt_date.n_months_ago(1, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_months_ago"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.916637, "supported_languages": null}, "macro.dbt_date.day_of_year": {"name": "day_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_year.sql", "original_file_path": "macros/calendar_date/day_of_year.sql", "unique_id": "macro.dbt_date.day_of_year", "macro_sql": "{%- macro day_of_year(date) -%}\n{{ adapter.dispatch('day_of_year', 'dbt_date') (date) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.postgres__day_of_year"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.916957, "supported_languages": null}, "macro.dbt_date.default__day_of_year": {"name": "default__day_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_year.sql", "original_file_path": "macros/calendar_date/day_of_year.sql", "unique_id": "macro.dbt_date.default__day_of_year", "macro_sql": "\n\n{%- macro default__day_of_year(date) -%}\n    {{ dbt_date.date_part('dayofyear', date) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9171, "supported_languages": null}, "macro.dbt_date.postgres__day_of_year": {"name": "postgres__day_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_year.sql", "original_file_path": "macros/calendar_date/day_of_year.sql", "unique_id": "macro.dbt_date.postgres__day_of_year", "macro_sql": "\n\n{%- macro postgres__day_of_year(date) -%}\n    {{ dbt_date.date_part('doy', date) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.917241, "supported_languages": null}, "macro.dbt_date.redshift__day_of_year": {"name": "redshift__day_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_year.sql", "original_file_path": "macros/calendar_date/day_of_year.sql", "unique_id": "macro.dbt_date.redshift__day_of_year", "macro_sql": "\n\n{%- macro redshift__day_of_year(date) -%}\n    cast({{ dbt_date.date_part('dayofyear', date) }} as {{ dbt.type_bigint() }})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt.type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9174342, "supported_languages": null}, "macro.dbt_date.round_timestamp": {"name": "round_timestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/round_timestamp.sql", "original_file_path": "macros/calendar_date/round_timestamp.sql", "unique_id": "macro.dbt_date.round_timestamp", "macro_sql": "{% macro round_timestamp(timestamp) %}\n    {{ dbt.date_trunc(\"day\", dbt.dateadd(\"hour\", 12, timestamp)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.date_trunc", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.91768, "supported_languages": null}, "macro.dbt_date.from_unixtimestamp": {"name": "from_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/from_unixtimestamp.sql", "original_file_path": "macros/calendar_date/from_unixtimestamp.sql", "unique_id": "macro.dbt_date.from_unixtimestamp", "macro_sql": "{%- macro from_unixtimestamp(epochs, format=\"seconds\") -%}\n    {{ adapter.dispatch('from_unixtimestamp', 'dbt_date') (epochs, format) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.postgres__from_unixtimestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.918953, "supported_languages": null}, "macro.dbt_date.default__from_unixtimestamp": {"name": "default__from_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/from_unixtimestamp.sql", "original_file_path": "macros/calendar_date/from_unixtimestamp.sql", "unique_id": "macro.dbt_date.default__from_unixtimestamp", "macro_sql": "\n\n{%- macro default__from_unixtimestamp(epochs, format=\"seconds\") -%}\n    {%- if format != \"seconds\" -%}\n    {{ exceptions.raise_compiler_error(\n        \"value \" ~ format ~ \" for `format` for from_unixtimestamp is not supported.\"\n        )\n    }}\n    {% endif -%}\n    to_timestamp({{ epochs }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.919221, "supported_languages": null}, "macro.dbt_date.postgres__from_unixtimestamp": {"name": "postgres__from_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/from_unixtimestamp.sql", "original_file_path": "macros/calendar_date/from_unixtimestamp.sql", "unique_id": "macro.dbt_date.postgres__from_unixtimestamp", "macro_sql": "\n\n{%- macro postgres__from_unixtimestamp(epochs, format=\"seconds\") -%}\n    {%- if format != \"seconds\" -%}\n    {{ exceptions.raise_compiler_error(\n        \"value \" ~ format ~ \" for `format` for from_unixtimestamp is not supported.\"\n        )\n    }}\n    {% endif -%}\n    cast(to_timestamp({{ epochs }}) at time zone 'UTC' as timestamp)\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.919492, "supported_languages": null}, "macro.dbt_date.snowflake__from_unixtimestamp": {"name": "snowflake__from_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/from_unixtimestamp.sql", "original_file_path": "macros/calendar_date/from_unixtimestamp.sql", "unique_id": "macro.dbt_date.snowflake__from_unixtimestamp", "macro_sql": "\n\n{%- macro snowflake__from_unixtimestamp(epochs, format) -%}\n    {%- if format == \"seconds\" -%}\n    {%- set scale = 0 -%}\n    {%- elif format == \"milliseconds\" -%}\n    {%- set scale = 3 -%}\n    {%- elif format == \"microseconds\" -%}\n    {%- set scale = 6 -%}\n    {%- else -%}\n    {{ exceptions.raise_compiler_error(\n        \"value \" ~ format ~ \" for `format` for from_unixtimestamp is not supported.\"\n        )\n    }}\n    {% endif -%}\n    to_timestamp_ntz({{ epochs }}, {{ scale }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.919981, "supported_languages": null}, "macro.dbt_date.bigquery__from_unixtimestamp": {"name": "bigquery__from_unixtimestamp", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/from_unixtimestamp.sql", "original_file_path": "macros/calendar_date/from_unixtimestamp.sql", "unique_id": "macro.dbt_date.bigquery__from_unixtimestamp", "macro_sql": "\n\n{%- macro bigquery__from_unixtimestamp(epochs, format) -%}\n    {%- if format == \"seconds\" -%}\n        timestamp_seconds({{ epochs }})\n    {%- elif format == \"milliseconds\" -%}\n        timestamp_millis({{ epochs }})\n    {%- elif format == \"microseconds\" -%}\n        timestamp_micros({{ epochs }})\n    {%- else -%}\n    {{ exceptions.raise_compiler_error(\n        \"value \" ~ format ~ \" for `format` for from_unixtimestamp is not supported.\"\n        )\n    }}\n    {% endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9203782, "supported_languages": null}, "macro.dbt_date.n_months_ago": {"name": "n_months_ago", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/n_months_ago.sql", "original_file_path": "macros/calendar_date/n_months_ago.sql", "unique_id": "macro.dbt_date.n_months_ago", "macro_sql": "{%- macro n_months_ago(n, tz=None) -%}\n{%- set n = n|int -%}\n{{ dbt.date_trunc('month',\n    dbt.dateadd('month', -1 * n,\n        dbt_date.today(tz)\n        )\n    ) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.date_trunc", "macro.dbt.dateadd", "macro.dbt_date.today"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.920759, "supported_languages": null}, "macro.dbt_date.date_part": {"name": "date_part", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/date_part.sql", "original_file_path": "macros/calendar_date/date_part.sql", "unique_id": "macro.dbt_date.date_part", "macro_sql": "{% macro date_part(datepart, date) -%}\n    {{ adapter.dispatch('date_part', 'dbt_date') (datepart, date) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.default__date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.92107, "supported_languages": null}, "macro.dbt_date.default__date_part": {"name": "default__date_part", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/date_part.sql", "original_file_path": "macros/calendar_date/date_part.sql", "unique_id": "macro.dbt_date.default__date_part", "macro_sql": "{% macro default__date_part(datepart, date) -%}\n    date_part('{{ datepart }}', {{  date }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.92121, "supported_languages": null}, "macro.dbt_date.bigquery__date_part": {"name": "bigquery__date_part", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/date_part.sql", "original_file_path": "macros/calendar_date/date_part.sql", "unique_id": "macro.dbt_date.bigquery__date_part", "macro_sql": "{% macro bigquery__date_part(datepart, date) -%}\n    extract({{ datepart }} from {{ date }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.921342, "supported_languages": null}, "macro.dbt_date.n_weeks_away": {"name": "n_weeks_away", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/n_weeks_away.sql", "original_file_path": "macros/calendar_date/n_weeks_away.sql", "unique_id": "macro.dbt_date.n_weeks_away", "macro_sql": "{%- macro n_weeks_away(n, tz=None) -%}\n{%- set n = n|int -%}\n{{ dbt.date_trunc('week',\n    dbt.dateadd('week', n,\n        dbt_date.today(tz)\n        )\n    ) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.date_trunc", "macro.dbt.dateadd", "macro.dbt_date.today"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.921695, "supported_languages": null}, "macro.dbt_date.day_of_month": {"name": "day_of_month", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_month.sql", "original_file_path": "macros/calendar_date/day_of_month.sql", "unique_id": "macro.dbt_date.day_of_month", "macro_sql": "{%- macro day_of_month(date) -%}\n{{ dbt_date.date_part('day', date) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9219189, "supported_languages": null}, "macro.dbt_date.redshift__day_of_month": {"name": "redshift__day_of_month", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_month.sql", "original_file_path": "macros/calendar_date/day_of_month.sql", "unique_id": "macro.dbt_date.redshift__day_of_month", "macro_sql": "\n\n{%- macro redshift__day_of_month(date) -%}\ncast({{ dbt_date.date_part('day', date) }} as {{ dbt.type_bigint() }})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt.type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.922112, "supported_languages": null}, "macro.dbt_date.yesterday": {"name": "yesterday", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/yesterday.sql", "original_file_path": "macros/calendar_date/yesterday.sql", "unique_id": "macro.dbt_date.yesterday", "macro_sql": "{%- macro yesterday(date=None, tz=None) -%}\n{{ dbt_date.n_days_ago(1, date, tz) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.n_days_ago"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9224021, "supported_languages": null}, "macro.dbt_date.day_of_week": {"name": "day_of_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_week.sql", "original_file_path": "macros/calendar_date/day_of_week.sql", "unique_id": "macro.dbt_date.day_of_week", "macro_sql": "{%- macro day_of_week(date, isoweek=true) -%}\n{{ adapter.dispatch('day_of_week', 'dbt_date') (date, isoweek) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.postgres__day_of_week"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.924334, "supported_languages": null}, "macro.dbt_date.default__day_of_week": {"name": "default__day_of_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_week.sql", "original_file_path": "macros/calendar_date/day_of_week.sql", "unique_id": "macro.dbt_date.default__day_of_week", "macro_sql": "\n\n{%- macro default__day_of_week(date, isoweek) -%}\n\n    {%- set dow = dbt_date.date_part('dayofweek', date) -%}\n\n    {%- if isoweek -%}\n    case\n        -- Shift start of week from Sunday (0) to Monday (1)\n        when {{ dow }} = 0 then 7\n        else {{ dow }}\n    end\n    {%- else -%}\n    {{ dow }} + 1\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9246452, "supported_languages": null}, "macro.dbt_date.snowflake__day_of_week": {"name": "snowflake__day_of_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_week.sql", "original_file_path": "macros/calendar_date/day_of_week.sql", "unique_id": "macro.dbt_date.snowflake__day_of_week", "macro_sql": "\n\n{%- macro snowflake__day_of_week(date, isoweek) -%}\n\n    {%- if isoweek -%}\n        {%- set dow_part = 'dayofweekiso' -%}\n        {{ dbt_date.date_part(dow_part, date) }}\n    {%- else -%}\n        {%- set dow_part = 'dayofweek' -%}\n        case\n            when {{ dbt_date.date_part(dow_part, date) }} = 7 then 1\n            else {{ dbt_date.date_part(dow_part, date) }} + 1\n        end\n    {%- endif -%}\n\n\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.925076, "supported_languages": null}, "macro.dbt_date.bigquery__day_of_week": {"name": "bigquery__day_of_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_week.sql", "original_file_path": "macros/calendar_date/day_of_week.sql", "unique_id": "macro.dbt_date.bigquery__day_of_week", "macro_sql": "\n\n{%- macro bigquery__day_of_week(date, isoweek) -%}\n\n    {%- set dow = dbt_date.date_part('dayofweek', date) -%}\n\n    {%- if isoweek -%}\n    case\n        -- Shift start of week from Sunday (1) to Monday (2)\n        when {{ dow }} = 1 then 7\n        else {{ dow }} - 1\n    end\n    {%- else -%}\n    {{ dow }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.92538, "supported_languages": null}, "macro.dbt_date.postgres__day_of_week": {"name": "postgres__day_of_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_week.sql", "original_file_path": "macros/calendar_date/day_of_week.sql", "unique_id": "macro.dbt_date.postgres__day_of_week", "macro_sql": "\n\n\n{%- macro postgres__day_of_week(date, isoweek) -%}\n\n    {%- if isoweek -%}\n        {%- set dow_part = 'isodow' -%}\n        -- Monday(1) to Sunday (7)\n        cast({{ dbt_date.date_part(dow_part, date) }} as {{ dbt.type_int() }})\n    {%- else -%}\n        {%- set dow_part = 'dow' -%}\n        -- Sunday(1) to Saturday (7)\n        cast({{ dbt_date.date_part(dow_part, date) }} + 1 as {{ dbt.type_int() }})\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.92583, "supported_languages": null}, "macro.dbt_date.redshift__day_of_week": {"name": "redshift__day_of_week", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/day_of_week.sql", "original_file_path": "macros/calendar_date/day_of_week.sql", "unique_id": "macro.dbt_date.redshift__day_of_week", "macro_sql": "\n\n\n{%- macro redshift__day_of_week(date, isoweek) -%}\n\n    {%- set dow = dbt_date.date_part('dayofweek', date) -%}\n\n    {%- if isoweek -%}\n    case\n        -- Shift start of week from Sunday (0) to Monday (1)\n        when {{ dow }} = 0 then 7\n        else cast({{ dow }} as {{ dbt.type_bigint() }})\n    end\n    {%- else -%}\n    cast({{ dow }} + 1 as {{ dbt.type_bigint() }})\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt.type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.926218, "supported_languages": null}, "macro.dbt_date.iso_week_end": {"name": "iso_week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_end.sql", "original_file_path": "macros/calendar_date/iso_week_end.sql", "unique_id": "macro.dbt_date.iso_week_end", "macro_sql": "{%- macro iso_week_end(date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{{ adapter.dispatch('iso_week_end', 'dbt_date') (dt) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt_date.default__iso_week_end"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.926707, "supported_languages": null}, "macro.dbt_date._iso_week_end": {"name": "_iso_week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_end.sql", "original_file_path": "macros/calendar_date/iso_week_end.sql", "unique_id": "macro.dbt_date._iso_week_end", "macro_sql": "{%- macro _iso_week_end(date, week_type) -%}\n{%- set dt = dbt_date.iso_week_start(date) -%}\n{{ dbt_date.n_days_away(6, dt) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.iso_week_start", "macro.dbt_date.n_days_away"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9269319, "supported_languages": null}, "macro.dbt_date.default__iso_week_end": {"name": "default__iso_week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_end.sql", "original_file_path": "macros/calendar_date/iso_week_end.sql", "unique_id": "macro.dbt_date.default__iso_week_end", "macro_sql": "\n\n{%- macro default__iso_week_end(date) -%}\n{{ dbt_date._iso_week_end(date, 'isoweek') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_end"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.927083, "supported_languages": null}, "macro.dbt_date.snowflake__iso_week_end": {"name": "snowflake__iso_week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_end.sql", "original_file_path": "macros/calendar_date/iso_week_end.sql", "unique_id": "macro.dbt_date.snowflake__iso_week_end", "macro_sql": "\n\n{%- macro snowflake__iso_week_end(date) -%}\n{{ dbt_date._iso_week_end(date, 'weekiso') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_end"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.927231, "supported_languages": null}, "macro.dbt_date.n_weeks_ago": {"name": "n_weeks_ago", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/n_weeks_ago.sql", "original_file_path": "macros/calendar_date/n_weeks_ago.sql", "unique_id": "macro.dbt_date.n_weeks_ago", "macro_sql": "{%- macro n_weeks_ago(n, tz=None) -%}\n{%- set n = n|int -%}\n{{ dbt.date_trunc('week',\n    dbt.dateadd('week', -1 * n,\n        dbt_date.today(tz)\n        )\n    ) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.date_trunc", "macro.dbt.dateadd", "macro.dbt_date.today"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9276211, "supported_languages": null}, "macro.dbt_date.month_name": {"name": "month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/month_name.sql", "original_file_path": "macros/calendar_date/month_name.sql", "unique_id": "macro.dbt_date.month_name", "macro_sql": "{%- macro month_name(date, short=True) -%}\n    {{ adapter.dispatch('month_name', 'dbt_date') (date, short) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.postgres__month_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.928129, "supported_languages": null}, "macro.dbt_date.default__month_name": {"name": "default__month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/month_name.sql", "original_file_path": "macros/calendar_date/month_name.sql", "unique_id": "macro.dbt_date.default__month_name", "macro_sql": "\n\n{%- macro default__month_name(date, short) -%}\n{%- set f = 'MON' if short else 'MONTH' -%}\n    to_char({{ date }}, '{{ f }}')\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.928339, "supported_languages": null}, "macro.dbt_date.bigquery__month_name": {"name": "bigquery__month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/month_name.sql", "original_file_path": "macros/calendar_date/month_name.sql", "unique_id": "macro.dbt_date.bigquery__month_name", "macro_sql": "\n\n{%- macro bigquery__month_name(date, short) -%}\n{%- set f = '%b' if short else '%B' -%}\n    format_date('{{ f }}', cast({{ date }} as date))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.928548, "supported_languages": null}, "macro.dbt_date.snowflake__month_name": {"name": "snowflake__month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/month_name.sql", "original_file_path": "macros/calendar_date/month_name.sql", "unique_id": "macro.dbt_date.snowflake__month_name", "macro_sql": "\n\n{%- macro snowflake__month_name(date, short) -%}\n{%- set f = 'MON' if short else 'MMMM' -%}\n    to_char({{ date }}, '{{ f }}')\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.928767, "supported_languages": null}, "macro.dbt_date.postgres__month_name": {"name": "postgres__month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/month_name.sql", "original_file_path": "macros/calendar_date/month_name.sql", "unique_id": "macro.dbt_date.postgres__month_name", "macro_sql": "\n\n{%- macro postgres__month_name(date, short) -%}\n{# FM = Fill mode, which suppresses padding blanks #}\n{%- set f = 'FMMon' if short else 'FMMonth' -%}\n    to_char({{ date }}, '{{ f }}')\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.928981, "supported_languages": null}, "macro.dbt_date.last_month_name": {"name": "last_month_name", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/last_month_name.sql", "original_file_path": "macros/calendar_date/last_month_name.sql", "unique_id": "macro.dbt_date.last_month_name", "macro_sql": "{%- macro last_month_name(short=True, tz=None) -%}\n{{ dbt_date.month_name(dbt_date.last_month(tz), short=short) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.month_name", "macro.dbt_date.last_month"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.929239, "supported_languages": null}, "macro.dbt_date.week_of_year": {"name": "week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_of_year.sql", "original_file_path": "macros/calendar_date/week_of_year.sql", "unique_id": "macro.dbt_date.week_of_year", "macro_sql": "{%- macro week_of_year(date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{{ adapter.dispatch('week_of_year', 'dbt_date') (dt) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt_date.postgres__week_of_year"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9296699, "supported_languages": null}, "macro.dbt_date.default__week_of_year": {"name": "default__week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_of_year.sql", "original_file_path": "macros/calendar_date/week_of_year.sql", "unique_id": "macro.dbt_date.default__week_of_year", "macro_sql": "{%- macro default__week_of_year(date) -%}\ncast({{ dbt_date.date_part('week', date) }} as {{ dbt.type_int() }})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9299479, "supported_languages": null}, "macro.dbt_date.postgres__week_of_year": {"name": "postgres__week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_of_year.sql", "original_file_path": "macros/calendar_date/week_of_year.sql", "unique_id": "macro.dbt_date.postgres__week_of_year", "macro_sql": "\n\n{%- macro postgres__week_of_year(date) -%}\n{# postgresql 'week' returns isoweek. Use to_char instead.\n   WW = the first week starts on the first day of the year #}\ncast(to_char({{ date }}, 'WW') as {{ dbt.type_int() }})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.93011, "supported_languages": null}, "macro.dbt_date.convert_timezone": {"name": "convert_timezone", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/convert_timezone.sql", "original_file_path": "macros/calendar_date/convert_timezone.sql", "unique_id": "macro.dbt_date.convert_timezone", "macro_sql": "{%- macro convert_timezone(column, target_tz=None, source_tz=None) -%}\n{%- set source_tz = \"UTC\" if not source_tz else source_tz -%}\n{%- set target_tz = var(\"dbt_date:time_zone\") if not target_tz else target_tz -%}\n{{ adapter.dispatch('convert_timezone', 'dbt_date') (column, target_tz, source_tz) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.postgres__convert_timezone"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.931102, "supported_languages": null}, "macro.dbt_date.default__convert_timezone": {"name": "default__convert_timezone", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/convert_timezone.sql", "original_file_path": "macros/calendar_date/convert_timezone.sql", "unique_id": "macro.dbt_date.default__convert_timezone", "macro_sql": "{% macro default__convert_timezone(column, target_tz, source_tz) -%}\nconvert_timezone('{{ source_tz }}', '{{ target_tz }}',\n    cast({{ column }} as {{ dbt.type_timestamp() }})\n)\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.931316, "supported_languages": null}, "macro.dbt_date.bigquery__convert_timezone": {"name": "bigquery__convert_timezone", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/convert_timezone.sql", "original_file_path": "macros/calendar_date/convert_timezone.sql", "unique_id": "macro.dbt_date.bigquery__convert_timezone", "macro_sql": "{%- macro bigquery__convert_timezone(column, target_tz, source_tz=None) -%}\ntimestamp(datetime({{ column }}, '{{ target_tz}}'))\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9314802, "supported_languages": null}, "macro.dbt_date.spark__convert_timezone": {"name": "spark__convert_timezone", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/convert_timezone.sql", "original_file_path": "macros/calendar_date/convert_timezone.sql", "unique_id": "macro.dbt_date.spark__convert_timezone", "macro_sql": "{%- macro spark__convert_timezone(column, target_tz, source_tz) -%}\nfrom_utc_timestamp(\n        to_utc_timestamp({{ column }}, '{{ source_tz }}'),\n        '{{ target_tz }}'\n        )\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.931648, "supported_languages": null}, "macro.dbt_date.postgres__convert_timezone": {"name": "postgres__convert_timezone", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/convert_timezone.sql", "original_file_path": "macros/calendar_date/convert_timezone.sql", "unique_id": "macro.dbt_date.postgres__convert_timezone", "macro_sql": "{% macro postgres__convert_timezone(column, target_tz, source_tz) -%}\ncast(\n    cast({{ column }} as {{ dbt.type_timestamp() }})\n        at time zone '{{ source_tz }}' at time zone '{{ target_tz }}' as {{ dbt.type_timestamp() }}\n)\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.931894, "supported_languages": null}, "macro.dbt_date.redshift__convert_timezone": {"name": "redshift__convert_timezone", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/convert_timezone.sql", "original_file_path": "macros/calendar_date/convert_timezone.sql", "unique_id": "macro.dbt_date.redshift__convert_timezone", "macro_sql": "{%- macro redshift__convert_timezone(column, target_tz, source_tz) -%}\n{{ return(dbt_date.default__convert_timezone(column, target_tz, source_tz)) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.default__convert_timezone"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.932097, "supported_languages": null}, "macro.dbt_date.n_months_away": {"name": "n_months_away", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/n_months_away.sql", "original_file_path": "macros/calendar_date/n_months_away.sql", "unique_id": "macro.dbt_date.n_months_away", "macro_sql": "{%- macro n_months_away(n, tz=None) -%}\n{%- set n = n|int -%}\n{{ dbt.date_trunc('month',\n    dbt.dateadd('month', n,\n        dbt_date.today(tz)\n        )\n    ) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.date_trunc", "macro.dbt.dateadd", "macro.dbt_date.today"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.932466, "supported_languages": null}, "macro.dbt_date.iso_week_of_year": {"name": "iso_week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_of_year.sql", "original_file_path": "macros/calendar_date/iso_week_of_year.sql", "unique_id": "macro.dbt_date.iso_week_of_year", "macro_sql": "{%- macro iso_week_of_year(date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{{ adapter.dispatch('iso_week_of_year', 'dbt_date') (dt) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt_date.postgres__iso_week_of_year"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.933035, "supported_languages": null}, "macro.dbt_date._iso_week_of_year": {"name": "_iso_week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_of_year.sql", "original_file_path": "macros/calendar_date/iso_week_of_year.sql", "unique_id": "macro.dbt_date._iso_week_of_year", "macro_sql": "{%- macro _iso_week_of_year(date, week_type) -%}\ncast({{ dbt_date.date_part(week_type, date) }} as {{ dbt.type_int() }})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9332402, "supported_languages": null}, "macro.dbt_date.default__iso_week_of_year": {"name": "default__iso_week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_of_year.sql", "original_file_path": "macros/calendar_date/iso_week_of_year.sql", "unique_id": "macro.dbt_date.default__iso_week_of_year", "macro_sql": "\n\n{%- macro default__iso_week_of_year(date) -%}\n{{ dbt_date._iso_week_of_year(date, 'isoweek') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_of_year"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.933394, "supported_languages": null}, "macro.dbt_date.snowflake__iso_week_of_year": {"name": "snowflake__iso_week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_of_year.sql", "original_file_path": "macros/calendar_date/iso_week_of_year.sql", "unique_id": "macro.dbt_date.snowflake__iso_week_of_year", "macro_sql": "\n\n{%- macro snowflake__iso_week_of_year(date) -%}\n{{ dbt_date._iso_week_of_year(date, 'weekiso') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_of_year"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9335392, "supported_languages": null}, "macro.dbt_date.postgres__iso_week_of_year": {"name": "postgres__iso_week_of_year", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/iso_week_of_year.sql", "original_file_path": "macros/calendar_date/iso_week_of_year.sql", "unique_id": "macro.dbt_date.postgres__iso_week_of_year", "macro_sql": "\n\n{%- macro postgres__iso_week_of_year(date) -%}\n-- postgresql week is isoweek, the first week of a year containing January 4 of that year.\n{{ dbt_date._iso_week_of_year(date, 'week') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date._iso_week_of_year"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.933693, "supported_languages": null}, "macro.dbt_date.week_end": {"name": "week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_end.sql", "original_file_path": "macros/calendar_date/week_end.sql", "unique_id": "macro.dbt_date.week_end", "macro_sql": "{%- macro week_end(date=None, tz=None) -%}\n{%-set dt = date if date else dbt_date.today(tz) -%}\n{{ adapter.dispatch('week_end', 'dbt_date') (dt) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_date.today", "macro.dbt_date.postgres__week_end"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9341729, "supported_languages": null}, "macro.dbt_date.default__week_end": {"name": "default__week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_end.sql", "original_file_path": "macros/calendar_date/week_end.sql", "unique_id": "macro.dbt_date.default__week_end", "macro_sql": "{%- macro default__week_end(date) -%}\n{{ last_day(date, 'week') }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9343119, "supported_languages": null}, "macro.dbt_date.snowflake__week_end": {"name": "snowflake__week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_end.sql", "original_file_path": "macros/calendar_date/week_end.sql", "unique_id": "macro.dbt_date.snowflake__week_end", "macro_sql": "\n\n{%- macro snowflake__week_end(date) -%}\n{%- set dt = dbt_date.week_start(date) -%}\n{{ dbt_date.n_days_away(6, dt) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.week_start", "macro.dbt_date.n_days_away"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.934525, "supported_languages": null}, "macro.dbt_date.postgres__week_end": {"name": "postgres__week_end", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/week_end.sql", "original_file_path": "macros/calendar_date/week_end.sql", "unique_id": "macro.dbt_date.postgres__week_end", "macro_sql": "\n\n{%- macro postgres__week_end(date) -%}\n{%- set dt = dbt_date.week_start(date) -%}\n{{ dbt_date.n_days_away(6, dt) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_date.week_start", "macro.dbt_date.n_days_away"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9347358, "supported_languages": null}, "macro.dbt_date.next_month_number": {"name": "next_month_number", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/next_month_number.sql", "original_file_path": "macros/calendar_date/next_month_number.sql", "unique_id": "macro.dbt_date.next_month_number", "macro_sql": "{%- macro next_month_number(tz=None) -%}\n{{ dbt_date.date_part('month', dbt_date.next_month(tz)) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt_date.next_month"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9349709, "supported_languages": null}, "macro.dbt_date.last_month_number": {"name": "last_month_number", "resource_type": "macro", "package_name": "dbt_date", "path": "macros/calendar_date/last_month_number.sql", "original_file_path": "macros/calendar_date/last_month_number.sql", "unique_id": "macro.dbt_date.last_month_number", "macro_sql": "{%- macro last_month_number(tz=None) -%}\n{{ dbt_date.date_part('month', dbt_date.last_month(tz)) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_date.date_part", "macro.dbt_date.last_month"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.935203, "supported_languages": null}, "macro.google_ads_source.get_ad_group_history_columns": {"name": "get_ad_group_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_group_history_columns.sql", "original_file_path": "macros/get_ad_group_history_columns.sql", "unique_id": "macro.google_ads_source.get_ad_group_history_columns", "macro_sql": "{% macro get_ad_group_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"campaign_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int", "macro.dbt.type_string", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.936291, "supported_languages": null}, "macro.google_ads_source.get_ad_group_stats_columns": {"name": "get_ad_group_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_group_stats_columns.sql", "original_file_path": "macros/get_ad_group_stats_columns.sql", "unique_id": "macro.google_ads_source.get_ad_group_stats_columns", "macro_sql": "{% macro get_ad_group_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__ad_group_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9377122, "supported_languages": null}, "macro.google_ads_source.spark__regexp_instr": {"name": "spark__regexp_instr", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/regexp_instr.sql", "original_file_path": "macros/regexp_instr.sql", "unique_id": "macro.google_ads_source.spark__regexp_instr", "macro_sql": "{% macro spark__regexp_instr(source_value, regexp, position=1, occurrence=1, is_raw=False, flags=\"\") %}\nregexp_instr({{ source_value }}, '{{ regexp }}')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9379919, "supported_languages": null}, "macro.google_ads_source.get_campaign_stats_columns": {"name": "get_campaign_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_campaign_stats_columns.sql", "original_file_path": "macros/get_campaign_stats_columns.sql", "unique_id": "macro.google_ads_source.get_campaign_stats_columns", "macro_sql": "{% macro get_campaign_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__campaign_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.93931, "supported_languages": null}, "macro.google_ads_source.get_campaign_history_columns": {"name": "get_campaign_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_campaign_history_columns.sql", "original_file_path": "macros/get_campaign_history_columns.sql", "unique_id": "macro.google_ads_source.get_campaign_history_columns", "macro_sql": "{% macro get_campaign_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"advertising_channel_subtype\", \"datatype\": dbt.type_string()},\n    {\"name\": \"advertising_channel_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"end_date\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"serving_status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"start_date\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"tracking_url_template\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_int", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9407518, "supported_languages": null}, "macro.google_ads_source.get_ad_stats_columns": {"name": "get_ad_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_stats_columns.sql", "original_file_path": "macros/get_ad_stats_columns.sql", "unique_id": "macro.google_ads_source.get_ad_stats_columns", "macro_sql": "{% macro get_ad_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"ad_group\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ad_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()},\n    {\"name\": \"keyword_ad_group_criterion\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__ad_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.942282, "supported_languages": null}, "macro.google_ads_source.get_account_history_columns": {"name": "get_account_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_account_history_columns.sql", "original_file_path": "macros/get_account_history_columns.sql", "unique_id": "macro.google_ads_source.get_account_history_columns", "macro_sql": "{% macro get_account_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"auto_tagging_enabled\", \"datatype\": \"boolean\"},\n    {\"name\": \"currency_code\", \"datatype\": dbt.type_string()},\n    {\"name\": \"descriptive_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"time_zone\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9433038, "supported_languages": null}, "macro.google_ads_source.get_ad_history_columns": {"name": "get_ad_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_history_columns.sql", "original_file_path": "macros/get_ad_history_columns.sql", "unique_id": "macro.google_ads_source.get_ad_history_columns", "macro_sql": "{% macro get_ad_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"display_url\", \"datatype\": dbt.type_string()},\n    {\"name\": \"final_urls\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int", "macro.dbt.type_string", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9444668, "supported_languages": null}, "macro.google_ads_source.get_ad_group_criterion_history_columns": {"name": "get_ad_group_criterion_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_group_criterion_history_columns.sql", "original_file_path": "macros/get_ad_group_criterion_history_columns.sql", "unique_id": "macro.google_ads_source.get_ad_group_criterion_history_columns", "macro_sql": "{% macro get_ad_group_criterion_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"base_campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"keyword_match_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"keyword_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int", "macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.945747, "supported_languages": null}, "macro.google_ads_source.get_keyword_stats_columns": {"name": "get_keyword_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_keyword_stats_columns.sql", "original_file_path": "macros/get_keyword_stats_columns.sql", "unique_id": "macro.google_ads_source.get_keyword_stats_columns", "macro_sql": "{% macro get_keyword_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_group_criterion_criterion_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__keyword_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9473379, "supported_languages": null}, "macro.google_ads_source.get_account_stats_columns": {"name": "get_account_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_account_stats_columns.sql", "original_file_path": "macros/get_account_stats_columns.sql", "unique_id": "macro.google_ads_source.get_account_stats_columns", "macro_sql": "{% macro get_account_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__account_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.948609, "supported_languages": null}, "macro.fivetran_utils.enabled_vars": {"name": "enabled_vars", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars.sql", "original_file_path": "macros/enabled_vars.sql", "unique_id": "macro.fivetran_utils.enabled_vars", "macro_sql": "{% macro enabled_vars(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, True) == False %}\n    {{ return(False) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(True) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9490612, "supported_languages": null}, "macro.fivetran_utils.percentile": {"name": "percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.percentile", "macro_sql": "{% macro percentile(percentile_field, partition_field, percent) -%}\n\n{{ adapter.dispatch('percentile', 'fivetran_utils') (percentile_field, partition_field, percent) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.postgres__percentile"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.950113, "supported_languages": null}, "macro.fivetran_utils.default__percentile": {"name": "default__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.default__percentile", "macro_sql": "{% macro default__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.950298, "supported_languages": null}, "macro.fivetran_utils.redshift__percentile": {"name": "redshift__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.redshift__percentile", "macro_sql": "{% macro redshift__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.950482, "supported_languages": null}, "macro.fivetran_utils.bigquery__percentile": {"name": "bigquery__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.bigquery__percentile", "macro_sql": "{% macro bigquery__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.950659, "supported_languages": null}, "macro.fivetran_utils.postgres__percentile": {"name": "postgres__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.postgres__percentile", "macro_sql": "{% macro postgres__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n    /* have to group by partition field */\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9508202, "supported_languages": null}, "macro.fivetran_utils.spark__percentile": {"name": "spark__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.spark__percentile", "macro_sql": "{% macro spark__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.950995, "supported_languages": null}, "macro.fivetran_utils.pivot_json_extract": {"name": "pivot_json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/pivot_json_extract.sql", "original_file_path": "macros/pivot_json_extract.sql", "unique_id": "macro.fivetran_utils.pivot_json_extract", "macro_sql": "{% macro pivot_json_extract(string, list_of_properties) %}\n\n{%- for property in list_of_properties -%}\n{%- if property is mapping -%}\nreplace( {{ fivetran_utils.json_extract(string, property.name) }}, '\"', '') as {{ property.alias if property.alias else property.name | replace(' ', '_') | replace('.', '_') | lower }}\n\n{%- else -%}\nreplace( {{ fivetran_utils.json_extract(string, property) }}, '\"', '') as {{ property | replace(' ', '_') | lower }}\n\n{%- endif -%}\n{%- if not loop.last -%},{%- endif %}\n{% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.951981, "supported_languages": null}, "macro.fivetran_utils.persist_pass_through_columns": {"name": "persist_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/persist_pass_through_columns.sql", "original_file_path": "macros/persist_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.persist_pass_through_columns", "macro_sql": "{% macro persist_pass_through_columns(pass_through_variable, identifier=none, transform='') %}\n\n{% if var(pass_through_variable, none) %}\n    {% for field in var(pass_through_variable) %}\n        , {{ transform ~ '(' ~ (identifier ~ '.' if identifier else '') ~ (field.alias if field.alias else field.name) ~ ')' }} as {{ field.alias if field.alias else field.name }}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.952692, "supported_languages": null}, "macro.fivetran_utils.json_parse": {"name": "json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.json_parse", "macro_sql": "{% macro json_parse(string, string_path) -%}\n\n{{ adapter.dispatch('json_parse', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.postgres__json_parse"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.953932, "supported_languages": null}, "macro.fivetran_utils.default__json_parse": {"name": "default__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.default__json_parse", "macro_sql": "{% macro default__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.954205, "supported_languages": null}, "macro.fivetran_utils.redshift__json_parse": {"name": "redshift__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.redshift__json_parse", "macro_sql": "{% macro redshift__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.954481, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_parse": {"name": "bigquery__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.bigquery__json_parse", "macro_sql": "{% macro bigquery__json_parse(string, string_path) %}\n\n \n  json_extract_scalar({{string}}, '$.{%- for s in string_path -%}{{ s }}{%- if not loop.last -%}.{%- endif -%}{%- endfor -%} ')\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.954745, "supported_languages": null}, "macro.fivetran_utils.postgres__json_parse": {"name": "postgres__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.postgres__json_parse", "macro_sql": "{% macro postgres__json_parse(string, string_path) %}\n\n  {{string}}::json #>> '{ {%- for s in string_path -%}{{ s }}{%- if not loop.last -%},{%- endif -%}{%- endfor -%} }'\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.955004, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_parse": {"name": "snowflake__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.snowflake__json_parse", "macro_sql": "{% macro snowflake__json_parse(string, string_path) %}\n\n  parse_json( {{string}} ) {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.95529, "supported_languages": null}, "macro.fivetran_utils.spark__json_parse": {"name": "spark__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.spark__json_parse", "macro_sql": "{% macro spark__json_parse(string, string_path) %}\n\n  {{string}} : {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9555788, "supported_languages": null}, "macro.fivetran_utils.max_bool": {"name": "max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.max_bool", "macro_sql": "{% macro max_bool(boolean_field) -%}\n\n{{ adapter.dispatch('max_bool', 'fivetran_utils') (boolean_field) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__max_bool"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9559412, "supported_languages": null}, "macro.fivetran_utils.default__max_bool": {"name": "default__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.default__max_bool", "macro_sql": "{% macro default__max_bool(boolean_field)  %}\n\n    bool_or( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.956055, "supported_languages": null}, "macro.fivetran_utils.snowflake__max_bool": {"name": "snowflake__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.snowflake__max_bool", "macro_sql": "{% macro snowflake__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.956165, "supported_languages": null}, "macro.fivetran_utils.bigquery__max_bool": {"name": "bigquery__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.bigquery__max_bool", "macro_sql": "{% macro bigquery__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9562728, "supported_languages": null}, "macro.fivetran_utils.calculated_fields": {"name": "calculated_fields", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/calculated_fields.sql", "original_file_path": "macros/calculated_fields.sql", "unique_id": "macro.fivetran_utils.calculated_fields", "macro_sql": "{% macro calculated_fields(variable) -%}\n\n{% if var(variable, none) %}\n    {% for field in var(variable) %}\n        , {{ field.transform_sql }} as {{ field.name }} \n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.956678, "supported_languages": null}, "macro.fivetran_utils.drop_schemas_automation": {"name": "drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.drop_schemas_automation", "macro_sql": "{% macro drop_schemas_automation(drop_target_schema=true) %}\n    {{ return(adapter.dispatch('drop_schemas_automation', 'fivetran_utils')(drop_target_schema)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__drop_schemas_automation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.957612, "supported_languages": null}, "macro.fivetran_utils.default__drop_schemas_automation": {"name": "default__drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.default__drop_schemas_automation", "macro_sql": "{% macro default__drop_schemas_automation(drop_target_schema=true) %}\n\n{% set fetch_list_sql %}\n    {% if target.type not in ('databricks', 'spark') %}\n        select schema_name\n        from \n        {{ wrap_in_quotes(target.database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like '{{ target.schema | lower }}{%- if not drop_target_schema -%}_{%- endif -%}%'\n    {% else %}\n        SHOW SCHEMAS LIKE '{{ target.schema }}{%- if not drop_target_schema -%}_{%- endif -%}*'\n    {% endif %}\n{% endset %}\n\n{% set results = run_query(fetch_list_sql) %}\n\n{% if execute %}\n    {% set results_list = results.columns[0].values() %}\n{% else %}\n    {% set results_list = [] %}\n{% endif %}\n\n{% for schema_to_drop in results_list %}\n    {% do adapter.drop_schema(api.Relation.create(database=target.database, schema=schema_to_drop)) %}\n    {{ print('Schema ' ~ schema_to_drop ~ ' successfully dropped from the ' ~ target.database ~ ' database.\\n')}}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.wrap_in_quotes", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.958852, "supported_languages": null}, "macro.fivetran_utils.seed_data_helper": {"name": "seed_data_helper", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/seed_data_helper.sql", "original_file_path": "macros/seed_data_helper.sql", "unique_id": "macro.fivetran_utils.seed_data_helper", "macro_sql": "{% macro seed_data_helper(seed_name, warehouses) %}\n\n{% if target.type in warehouses %}\n    {% for w in warehouses %}\n        {% if target.type == w %}\n            {{ return(ref(seed_name ~ \"_\" ~ w ~ \"\")) }}\n        {% endif %}\n    {% endfor %}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.959509, "supported_languages": null}, "macro.fivetran_utils.fill_pass_through_columns": {"name": "fill_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_pass_through_columns.sql", "original_file_path": "macros/fill_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.fill_pass_through_columns", "macro_sql": "{% macro fill_pass_through_columns(pass_through_variable) %}\n\n{% if var(pass_through_variable) %}\n    {% for field in var(pass_through_variable) %}\n        {% if field is mapping %}\n            {% if field.transform_sql %}\n                , {{ field.transform_sql }} as {{ field.alias if field.alias else field.name }}\n            {% else %}\n                , {{ field.alias if field.alias else field.name }}\n            {% endif %}\n        {% else %}\n        , {{ field }}\n        {% endif %}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.960374, "supported_languages": null}, "macro.fivetran_utils.string_agg": {"name": "string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.string_agg", "macro_sql": "{% macro string_agg(field_to_agg, delimiter) -%}\n\n{{ adapter.dispatch('string_agg', 'fivetran_utils') (field_to_agg, delimiter) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__string_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.960902, "supported_languages": null}, "macro.fivetran_utils.default__string_agg": {"name": "default__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.default__string_agg", "macro_sql": "{% macro default__string_agg(field_to_agg, delimiter) %}\n    string_agg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9610481, "supported_languages": null}, "macro.fivetran_utils.snowflake__string_agg": {"name": "snowflake__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.snowflake__string_agg", "macro_sql": "{% macro snowflake__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.961192, "supported_languages": null}, "macro.fivetran_utils.redshift__string_agg": {"name": "redshift__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.redshift__string_agg", "macro_sql": "{% macro redshift__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.961339, "supported_languages": null}, "macro.fivetran_utils.spark__string_agg": {"name": "spark__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.spark__string_agg", "macro_sql": "{% macro spark__string_agg(field_to_agg, delimiter) %}\n    -- collect set will remove duplicates\n    replace(replace(replace(cast( collect_set({{ field_to_agg }}) as string), '[', ''), ']', ''), ', ', {{ delimiter }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.961486, "supported_languages": null}, "macro.fivetran_utils.timestamp_diff": {"name": "timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.timestamp_diff", "macro_sql": "{% macro timestamp_diff(first_date, second_date, datepart) %}\n  {{ adapter.dispatch('timestamp_diff', 'fivetran_utils')(first_date, second_date, datepart) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.postgres__timestamp_diff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.964619, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_diff": {"name": "default__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.default__timestamp_diff", "macro_sql": "{% macro default__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.964787, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_diff": {"name": "redshift__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_diff", "macro_sql": "{% macro redshift__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9649532, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_diff": {"name": "bigquery__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_diff", "macro_sql": "{% macro bigquery__timestamp_diff(first_date, second_date, datepart) %}\n\n    timestamp_diff(\n        {{second_date}},\n        {{first_date}},\n        {{datepart}}\n    )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.96511, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_diff": {"name": "postgres__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_diff", "macro_sql": "{% macro postgres__timestamp_diff(first_date, second_date, datepart) %}\n\n    {% if datepart == 'year' %}\n        (date_part('year', ({{second_date}})::date) - date_part('year', ({{first_date}})::date))\n    {% elif datepart == 'quarter' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 4 + date_part('quarter', ({{second_date}})::date) - date_part('quarter', ({{first_date}})::date))\n    {% elif datepart == 'month' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 12 + date_part('month', ({{second_date}})::date) - date_part('month', ({{first_date}})::date))\n    {% elif datepart == 'day' %}\n        (({{second_date}})::date - ({{first_date}})::date)\n    {% elif datepart == 'week' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} / 7 + case\n            when date_part('dow', ({{first_date}})::timestamp) <= date_part('dow', ({{second_date}})::timestamp) then\n                case when {{first_date}} <= {{second_date}} then 0 else -1 end\n            else\n                case when {{first_date}} <= {{second_date}} then 1 else 0 end\n        end)\n    {% elif datepart == 'hour' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} * 24 + date_part('hour', ({{second_date}})::timestamp) - date_part('hour', ({{first_date}})::timestamp))\n    {% elif datepart == 'minute' %}\n        ({{ dbt.datediff(first_date, second_date, 'hour') }} * 60 + date_part('minute', ({{second_date}})::timestamp) - date_part('minute', ({{first_date}})::timestamp))\n    {% elif datepart == 'second' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60 + floor(date_part('second', ({{second_date}})::timestamp)) - floor(date_part('second', ({{first_date}})::timestamp)))\n    {% elif datepart == 'millisecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000 + floor(date_part('millisecond', ({{second_date}})::timestamp)) - floor(date_part('millisecond', ({{first_date}})::timestamp)))\n    {% elif datepart == 'microsecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000000 + floor(date_part('microsecond', ({{second_date}})::timestamp)) - floor(date_part('microsecond', ({{first_date}})::timestamp)))\n    {% else %}\n        {{ exceptions.raise_compiler_error(\"Unsupported datepart for macro datediff in postgres: {!r}\".format(datepart)) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9669068, "supported_languages": null}, "macro.fivetran_utils.try_cast": {"name": "try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.try_cast", "macro_sql": "{% macro try_cast(field, type) %}\n    {{ adapter.dispatch('try_cast', 'fivetran_utils') (field, type) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.postgres__try_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9680362, "supported_languages": null}, "macro.fivetran_utils.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.968201, "supported_languages": null}, "macro.fivetran_utils.redshift__try_cast": {"name": "redshift__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.redshift__try_cast", "macro_sql": "{% macro redshift__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when trim({{field}}) ~ '^(0|[1-9][0-9]*)$' then trim({{field}})\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.968517, "supported_languages": null}, "macro.fivetran_utils.postgres__try_cast": {"name": "postgres__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.postgres__try_cast", "macro_sql": "{% macro postgres__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar)) ~ '^(0|[1-9][0-9]*)$' \n        then replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar))\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.968839, "supported_languages": null}, "macro.fivetran_utils.snowflake__try_cast": {"name": "snowflake__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.snowflake__try_cast", "macro_sql": "{% macro snowflake__try_cast(field, type) %}\n    try_cast(cast({{field}} as varchar) as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.968977, "supported_languages": null}, "macro.fivetran_utils.bigquery__try_cast": {"name": "bigquery__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.bigquery__try_cast", "macro_sql": "{% macro bigquery__try_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.969111, "supported_languages": null}, "macro.fivetran_utils.spark__try_cast": {"name": "spark__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.spark__try_cast", "macro_sql": "{% macro spark__try_cast(field, type) %}\n    try_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.969242, "supported_languages": null}, "macro.fivetran_utils.source_relation": {"name": "source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.source_relation", "macro_sql": "{% macro source_relation(union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('source_relation', 'fivetran_utils') (union_schema_variable, union_database_variable) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__source_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9697978, "supported_languages": null}, "macro.fivetran_utils.default__source_relation": {"name": "default__source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.default__source_relation", "macro_sql": "{% macro default__source_relation(union_schema_variable, union_database_variable) %}\n\n{% if var(union_schema_variable, none)  %}\n, case\n    {% for schema in var(union_schema_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%.{{ schema|lower }}.%' then '{{ schema|lower }}'\n    {% endfor %}\n  end as source_relation\n{% elif var(union_database_variable, none) %}\n, case\n    {% for database in var(union_database_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%{{ database|lower }}.%' then '{{ database|lower }}'\n    {% endfor %}\n  end as source_relation\n{% else %}\n, cast('' as {{ dbt.type_string() }}) as source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.97044, "supported_languages": null}, "macro.fivetran_utils.first_value": {"name": "first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.first_value", "macro_sql": "{% macro first_value(first_value_field, partition_field, order_by_field, order=\"asc\") -%}\n\n{{ adapter.dispatch('first_value', 'fivetran_utils') (first_value_field, partition_field, order_by_field, order) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__first_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.970958, "supported_languages": null}, "macro.fivetran_utils.default__first_value": {"name": "default__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.default__first_value", "macro_sql": "{% macro default__first_value(first_value_field, partition_field, order_by_field, order=\"asc\")  %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.971173, "supported_languages": null}, "macro.fivetran_utils.redshift__first_value": {"name": "redshift__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.redshift__first_value", "macro_sql": "{% macro redshift__first_value(first_value_field, partition_field, order_by_field, order=\"asc\") %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} , {{ partition_field }} rows unbounded preceding )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.971402, "supported_languages": null}, "macro.fivetran_utils.add_dbt_source_relation": {"name": "add_dbt_source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_dbt_source_relation.sql", "original_file_path": "macros/add_dbt_source_relation.sql", "unique_id": "macro.fivetran_utils.add_dbt_source_relation", "macro_sql": "{% macro add_dbt_source_relation() %}\n\n{% if var('union_schemas', none) or var('union_databases', none) %}\n, _dbt_source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.971669, "supported_languages": null}, "macro.fivetran_utils.add_pass_through_columns": {"name": "add_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_pass_through_columns.sql", "original_file_path": "macros/add_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.add_pass_through_columns", "macro_sql": "{% macro add_pass_through_columns(base_columns, pass_through_var) %}\n\n  {% if pass_through_var %}\n\n    {% for column in pass_through_var %}\n\n    {% if column is mapping %}\n\n      {% if column.alias %}\n\n        {% do base_columns.append({ \"name\": column.name, \"alias\": column.alias, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n\n      {% else %}\n\n        {% do base_columns.append({ \"name\": column.name, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n        \n      {% endif %}\n\n    {% else %}\n\n      {% do base_columns.append({ \"name\": column, \"datatype\": dbt.type_string()}) %}\n\n    {% endif %}\n\n    {% endfor %}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.972843, "supported_languages": null}, "macro.fivetran_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, aliases=none, column_override=none, include=[], exclude=[], source_column_name=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n    {%- set source_column_name = source_column_name if source_column_name is not none else '_dbt_source_relation' -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column in exclude -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column not in include -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ aliases[loop.index0] if aliases else relation }}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9770749, "supported_languages": null}, "macro.fivetran_utils.union_tables": {"name": "union_tables", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_tables", "macro_sql": "{%- macro union_tables(tables, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_table') -%}\n\n    {%- do exceptions.warn(\"Warning: the `union_tables` macro is no longer supported and will be deprecated in a future release of dbt-utils. Use the `union_relations` macro instead\") -%}\n\n    {{ return(dbt_utils.union_relations(tables, column_override, include, exclude, source_column_name)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.977459, "supported_languages": null}, "macro.fivetran_utils.snowflake_seed_data": {"name": "snowflake_seed_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/snowflake_seed_data.sql", "original_file_path": "macros/snowflake_seed_data.sql", "unique_id": "macro.fivetran_utils.snowflake_seed_data", "macro_sql": "{% macro snowflake_seed_data(seed_name) %}\n\n{% if target.type == 'snowflake' %}\n{{ return(ref(seed_name ~ '_snowflake')) }}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.977854, "supported_languages": null}, "macro.fivetran_utils.fill_staging_columns": {"name": "fill_staging_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.fill_staging_columns", "macro_sql": "{% macro fill_staging_columns(source_columns, staging_columns) -%}\n\n{%- set source_column_names = source_columns|map(attribute='name')|map('lower')|list -%}\n\n{%- for column in staging_columns %}\n    {% if column.name|lower in source_column_names -%}\n        {{ fivetran_utils.quote_column(column) }} as \n        {%- if 'alias' in column %} {{ column.alias }} {% else %} {{ fivetran_utils.quote_column(column) }} {%- endif -%}\n    {%- else -%}\n        cast(null as {{ column.datatype }})\n        {%- if 'alias' in column %} as {{ column.alias }} {% else %} as {{ fivetran_utils.quote_column(column) }} {% endif -%}\n    {%- endif -%}\n    {%- if not loop.last -%} , {% endif -%}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.quote_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.979531, "supported_languages": null}, "macro.fivetran_utils.quote_column": {"name": "quote_column", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.quote_column", "macro_sql": "{% macro quote_column(column) %}\n    {% if 'quote' in column %}\n        {% if column.quote %}\n            {% if target.type in ('bigquery', 'spark', 'databricks') %}\n            `{{ column.name }}`\n            {% elif target.type == 'snowflake' %}\n            \"{{ column.name | upper }}\"\n            {% else %}\n            \"{{ column.name }}\"\n            {% endif %}\n        {% else %}\n        {{ column.name }}\n        {% endif %}\n    {% else %}\n    {{ column.name }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9801118, "supported_languages": null}, "macro.fivetran_utils.json_extract": {"name": "json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.json_extract", "macro_sql": "{% macro json_extract(string, string_path) -%}\n\n{{ adapter.dispatch('json_extract', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.postgres__json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.980704, "supported_languages": null}, "macro.fivetran_utils.default__json_extract": {"name": "default__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.default__json_extract", "macro_sql": "{% macro default__json_extract(string, string_path) %}\n\n  json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} )\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.980862, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_extract": {"name": "snowflake__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.snowflake__json_extract", "macro_sql": "{% macro snowflake__json_extract(string, string_path) %}\n\n  json_extract_path_text(try_parse_json( {{string}} ), {{ \"'\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.98102, "supported_languages": null}, "macro.fivetran_utils.redshift__json_extract": {"name": "redshift__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.redshift__json_extract", "macro_sql": "{% macro redshift__json_extract(string, string_path) %}\n\n  case when is_valid_json( {{string}} ) then json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} ) else null end\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.981194, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_extract": {"name": "bigquery__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.bigquery__json_extract", "macro_sql": "{% macro bigquery__json_extract(string, string_path) %}\n\n  json_extract_scalar({{string}}, {{ \"'$.\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9813519, "supported_languages": null}, "macro.fivetran_utils.postgres__json_extract": {"name": "postgres__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.postgres__json_extract", "macro_sql": "{% macro postgres__json_extract(string, string_path) %}\n\n  {{string}}::json->>{{\"'\" ~ string_path ~ \"'\" }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.981507, "supported_languages": null}, "macro.fivetran_utils.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9822552, "supported_languages": null}, "macro.fivetran_utils.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n\n  {%- set enabled_array = [] -%}\n  {% for node in graph.sources.values() %}\n    {% if node.identifier == source.identifier %}\n      {% if (node.meta['is_enabled'] | default(true)) %}\n        {%- do enabled_array.append(1) -%}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n  {% set is_enabled = (enabled_array != []) %}\n\n    select\n      {% if is_enabled %}\n      max({{ loaded_at_field }})\n      {% else %} \n      {{ current_timestamp() }} {% endif %} as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n\n    {% if is_enabled %}\n    from {{ source }}\n      {% if filter %}\n      where {{ filter }}\n      {% endif %}\n    {% endif %}\n\n  {% endcall %}\n  {{ return(load_result('collect_freshness').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.98327, "supported_languages": null}, "macro.fivetran_utils.timestamp_add": {"name": "timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.timestamp_add", "macro_sql": "{% macro timestamp_add(datepart, interval, from_timestamp) -%}\n\n{{ adapter.dispatch('timestamp_add', 'fivetran_utils') (datepart, interval, from_timestamp) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.postgres__timestamp_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.984007, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_add": {"name": "default__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.default__timestamp_add", "macro_sql": "{% macro default__timestamp_add(datepart, interval, from_timestamp) %}\n\n    timestampadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9841752, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_add": {"name": "bigquery__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_add", "macro_sql": "{% macro bigquery__timestamp_add(datepart, interval, from_timestamp) %}\n\n        timestamp_add({{ from_timestamp }}, interval  {{ interval }} {{ datepart }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.984339, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_add": {"name": "redshift__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_add", "macro_sql": "{% macro redshift__timestamp_add(datepart, interval, from_timestamp) %}\n\n        dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.984504, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_add": {"name": "postgres__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_add", "macro_sql": "{% macro postgres__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ from_timestamp }} + ((interval '1 {{ datepart }}') * ({{ interval }}))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9846668, "supported_languages": null}, "macro.fivetran_utils.spark__timestamp_add": {"name": "spark__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.spark__timestamp_add", "macro_sql": "{% macro spark__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ dbt.dateadd(datepart, interval, from_timestamp) }}\n        \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.984842, "supported_languages": null}, "macro.fivetran_utils.ceiling": {"name": "ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.ceiling", "macro_sql": "{% macro ceiling(num) -%}\n\n{{ adapter.dispatch('ceiling', 'fivetran_utils') (num) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__ceiling"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9851031, "supported_languages": null}, "macro.fivetran_utils.default__ceiling": {"name": "default__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.default__ceiling", "macro_sql": "{% macro default__ceiling(num) %}\n    ceiling({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.985213, "supported_languages": null}, "macro.fivetran_utils.snowflake__ceiling": {"name": "snowflake__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.snowflake__ceiling", "macro_sql": "{% macro snowflake__ceiling(num) %}\n    ceil({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.985387, "supported_languages": null}, "macro.fivetran_utils.remove_prefix_from_columns": {"name": "remove_prefix_from_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/remove_prefix_from_columns.sql", "original_file_path": "macros/remove_prefix_from_columns.sql", "unique_id": "macro.fivetran_utils.remove_prefix_from_columns", "macro_sql": "{% macro remove_prefix_from_columns(columns, prefix='', exclude=[]) %}\n\n        {%- for col in columns if col.name not in exclude -%}\n        {%- if col.name[:prefix|length]|lower == prefix -%}\n        {{ col.name }} as {{ col.name[prefix|length:] }}\n        {%- else -%}\n        {{ col.name }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n        {% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.986048, "supported_languages": null}, "macro.fivetran_utils.union_data": {"name": "union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.union_data", "macro_sql": "{%- macro union_data(table_identifier, database_variable, schema_variable, default_database, default_schema, default_variable, union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('union_data', 'fivetran_utils') (\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__union_data"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.989762, "supported_languages": null}, "macro.fivetran_utils.default__union_data": {"name": "default__union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.default__union_data", "macro_sql": "{%- macro default__union_data(\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) -%}\n\n{%- if var(union_schema_variable, none) -%}\n\n    {%- set relations = [] -%}\n    \n    {%- if var(union_schema_variable) is string -%}\n    {%- set trimmed = var(union_schema_variable)|trim('[')|trim(']') -%}\n    {%- set schemas = trimmed.split(',')|map('trim',\" \")|map('trim','\"')|map('trim',\"'\") -%}\n    {%- else -%}\n    {%- set schemas = var(union_schema_variable) -%}\n    {%- endif -%}\n\n    {%- for schema in var(union_schema_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else var(database_variable, default_database),\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else schema,\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n    \n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n    \n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- elif var(union_database_variable, none) -%}\n\n    {%- set relations = [] -%}\n\n    {%- for database in var(union_database_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else database,\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else var(schema_variable, default_schema),\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n\n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n\n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- else -%}\n    {% set exception_schemas = {\"linkedin_company_pages\": \"linkedin_pages\", \"instagram_business_pages\": \"instagram_business\"} %}\n    {% set relation = namespace(value=\"\") %}\n    {% if default_schema in exception_schemas.keys() %}\n        {% for corrected_schema_name in exception_schemas.items() %}   \n            {% if default_schema in corrected_schema_name %}\n                {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n                {% set identifier_var = corrected_schema_name[1] + \"_\" + table_identifier + \"_identifier\"  %}\n                {%- set relation.value=adapter.get_relation(\n                    database=source(corrected_schema_name[1], table_identifier).database,\n                    schema=source(corrected_schema_name[1], table_identifier).schema,\n                    identifier=var(identifier_var, table_identifier)\n                ) -%}\n            {% endif %}\n        {% endfor %}\n    {% else %}\n        {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n        {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifier\"  %}\n        {# Unfortunately the Twitter Organic identifiers were misspelled. As such, we will need to account for this in the model. This will be adjusted in the Twitter Organic package, but to ensure backwards compatibility, this needs to be included. #}\n        {% if var(identifier_var, none) is none %} \n            {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifer\"  %}\n        {% endif %}\n        {%- set relation.value=adapter.get_relation(\n            database=source(default_schema, table_identifier).database,\n            schema=source(default_schema, table_identifier).schema,\n            identifier=var(identifier_var, table_identifier)\n        ) -%}\n    {% endif %}\n{%- set table_exists=relation.value is not none -%}\n\n{%- if table_exists -%}\n    select * \n    from {{ relation.value }}\n{%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n{%- endif -%}\n{%- endif -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9946501, "supported_languages": null}, "macro.fivetran_utils.dummy_coalesce_value": {"name": "dummy_coalesce_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/dummy_coalesce_value.sql", "original_file_path": "macros/dummy_coalesce_value.sql", "unique_id": "macro.fivetran_utils.dummy_coalesce_value", "macro_sql": "{% macro dummy_coalesce_value(column) %}\n\n{% set coalesce_value = {\n 'STRING': \"'DUMMY_STRING'\",\n 'BOOLEAN': 'null',\n 'INT': 999999999,\n 'FLOAT': 999999999.99,\n 'TIMESTAMP': 'cast(\"2099-12-31\" as timestamp)',\n 'DATE': 'cast(\"2099-12-31\" as date)',\n} %}\n\n{% if column.is_float() %}\n{{ return(coalesce_value['FLOAT']) }}\n\n{% elif column.is_numeric() %}\n{{ return(coalesce_value['INT']) }}\n\n{% elif column.is_string() %}\n{{ return(coalesce_value['STRING']) }}\n\n{% elif column.data_type|lower == 'boolean' %}\n{{ return(coalesce_value['BOOLEAN']) }}\n\n{% elif 'timestamp' in column.data_type|lower %}\n{{ return(coalesce_value['TIMESTAMP']) }}\n\n{% elif 'date' in column.data_type|lower %}\n{{ return(coalesce_value['DATE']) }}\n\n{% elif 'int' in column.data_type|lower %}\n{{ return(coalesce_value['INT']) }}\n\n{% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.996126, "supported_languages": null}, "macro.fivetran_utils.wrap_in_quotes": {"name": "wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.wrap_in_quotes", "macro_sql": "{%- macro wrap_in_quotes(object_to_quote) -%}\n\n{{ return(adapter.dispatch('wrap_in_quotes', 'fivetran_utils')(object_to_quote)) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.postgres__wrap_in_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9965088, "supported_languages": null}, "macro.fivetran_utils.default__wrap_in_quotes": {"name": "default__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.default__wrap_in_quotes", "macro_sql": "{%- macro default__wrap_in_quotes(object_to_quote)  -%}\n{# bigquery, spark, databricks #}\n    `{{ object_to_quote }}`\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9966238, "supported_languages": null}, "macro.fivetran_utils.snowflake__wrap_in_quotes": {"name": "snowflake__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.snowflake__wrap_in_quotes", "macro_sql": "{%- macro snowflake__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote | upper }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.996738, "supported_languages": null}, "macro.fivetran_utils.redshift__wrap_in_quotes": {"name": "redshift__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.redshift__wrap_in_quotes", "macro_sql": "{%- macro redshift__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.996842, "supported_languages": null}, "macro.fivetran_utils.postgres__wrap_in_quotes": {"name": "postgres__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.postgres__wrap_in_quotes", "macro_sql": "{%- macro postgres__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.996947, "supported_languages": null}, "macro.fivetran_utils.array_agg": {"name": "array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.array_agg", "macro_sql": "{% macro array_agg(field_to_agg) -%}\n\n{{ adapter.dispatch('array_agg', 'fivetran_utils') (field_to_agg) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__array_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.997219, "supported_languages": null}, "macro.fivetran_utils.default__array_agg": {"name": "default__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.default__array_agg", "macro_sql": "{% macro default__array_agg(field_to_agg) %}\n    array_agg({{ field_to_agg }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.997327, "supported_languages": null}, "macro.fivetran_utils.redshift__array_agg": {"name": "redshift__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.redshift__array_agg", "macro_sql": "{% macro redshift__array_agg(field_to_agg) %}\n    listagg({{ field_to_agg }}, ',')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.997431, "supported_languages": null}, "macro.fivetran_utils.empty_variable_warning": {"name": "empty_variable_warning", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/empty_variable_warning.sql", "original_file_path": "macros/empty_variable_warning.sql", "unique_id": "macro.fivetran_utils.empty_variable_warning", "macro_sql": "{% macro empty_variable_warning(variable, downstream_model) %}\n\n{% if not var(variable) %}\n{{ log(\n    \"\"\"\n    Warning: You have passed an empty list to the \"\"\" ~ variable ~ \"\"\".\n    As a result, you won't see the history of any columns in the \"\"\" ~ downstream_model ~ \"\"\" model.\n    \"\"\",\n    info=True\n) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9978418, "supported_languages": null}, "macro.fivetran_utils.enabled_vars_one_true": {"name": "enabled_vars_one_true", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars_one_true.sql", "original_file_path": "macros/enabled_vars_one_true.sql", "unique_id": "macro.fivetran_utils.enabled_vars_one_true", "macro_sql": "{% macro enabled_vars_one_true(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, False) == True %}\n    {{ return(True) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(False) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.998247, "supported_languages": null}, "macro.dbt_expectations.type_timestamp": {"name": "type_timestamp", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.type_timestamp", "macro_sql": "\n{%- macro type_timestamp() -%}\n  {{ return(adapter.dispatch('type_timestamp', 'dbt_expectations')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_expectations.postgres__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9986298, "supported_languages": null}, "macro.dbt_expectations.default__type_timestamp": {"name": "default__type_timestamp", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() -%}\n    timestamp\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.998709, "supported_languages": null}, "macro.dbt_expectations.snowflake__type_timestamp": {"name": "snowflake__type_timestamp", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.snowflake__type_timestamp", "macro_sql": "{% macro snowflake__type_timestamp() -%}\n    timestamp_ntz\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.998782, "supported_languages": null}, "macro.dbt_expectations.postgres__type_timestamp": {"name": "postgres__type_timestamp", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.postgres__type_timestamp", "macro_sql": "{% macro postgres__type_timestamp() -%}\n    timestamp without time zone\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9988601, "supported_languages": null}, "macro.dbt_expectations.type_datetime": {"name": "type_datetime", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.type_datetime", "macro_sql": "{% macro type_datetime() -%}\n  {{ return(adapter.dispatch('type_datetime', 'dbt_expectations')()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.postgres__type_datetime"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.999021, "supported_languages": null}, "macro.dbt_expectations.default__type_datetime": {"name": "default__type_datetime", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.default__type_datetime", "macro_sql": "{% macro default__type_datetime() -%}\n    datetime\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9990962, "supported_languages": null}, "macro.dbt_expectations.snowflake__type_datetime": {"name": "snowflake__type_datetime", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.snowflake__type_datetime", "macro_sql": "{% macro snowflake__type_datetime() -%}\n    timestamp_ntz\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.99917, "supported_languages": null}, "macro.dbt_expectations.postgres__type_datetime": {"name": "postgres__type_datetime", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/datatypes.sql", "original_file_path": "macros/utils/datatypes.sql", "unique_id": "macro.dbt_expectations.postgres__type_datetime", "macro_sql": "{% macro postgres__type_datetime() -%}\n    timestamp without time zone\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.9992461, "supported_languages": null}, "macro.dbt_expectations.group_by": {"name": "group_by", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/groupby.sql", "original_file_path": "macros/utils/groupby.sql", "unique_id": "macro.dbt_expectations.group_by", "macro_sql": "{%- macro group_by(n) -%}\n    {{ return(adapter.dispatch('group_by', 'dbt_expectations')(n)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__group_by"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.999597, "supported_languages": null}, "macro.dbt_expectations.default__group_by": {"name": "default__group_by", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/utils/groupby.sql", "original_file_path": "macros/utils/groupby.sql", "unique_id": "macro.dbt_expectations.default__group_by", "macro_sql": "\n\n{%- macro default__group_by(n) -%}\n\n  group by {% for i in range(1, n + 1) -%}\n      {{ i }}{{ ',' if not loop.last }}\n   {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595968.999854, "supported_languages": null}, "macro.dbt_expectations.regexp_instr": {"name": "regexp_instr", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations.regexp_instr", "macro_sql": "{% macro regexp_instr(source_value, regexp, position=1, occurrence=1, is_raw=False, flags=\"\") %}\n\n    {{ adapter.dispatch('regexp_instr', 'dbt_expectations')(\n        source_value, regexp, position, occurrence, is_raw, flags\n    ) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.postgres__regexp_instr"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.001015, "supported_languages": null}, "macro.dbt_expectations.default__regexp_instr": {"name": "default__regexp_instr", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations.default__regexp_instr", "macro_sql": "{% macro default__regexp_instr(source_value, regexp, position, occurrence, is_raw, flags) %}\n{# unclear if other databases support raw strings or flags #}\n{% if is_raw or flags %}\n    {{ exceptions.warn(\n            \"is_raw and flags options are not supported for this adapter \"\n            ~ \"and are being ignored.\"\n    ) }}\n{% endif %}\nregexp_instr({{ source_value }}, '{{ regexp }}', {{ position }}, {{ occurrence }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.001368, "supported_languages": null}, "macro.dbt_expectations.snowflake__regexp_instr": {"name": "snowflake__regexp_instr", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations.snowflake__regexp_instr", "macro_sql": "{% macro snowflake__regexp_instr(source_value, regexp, position, occurrence, is_raw, flags) %}\n{%- set regexp = \"$$\" ~ regexp ~ \"$$\" if is_raw else \"'\" ~ regexp ~ \"'\" -%}\n{% if flags %}{{ dbt_expectations._validate_flags(flags, 'cimes') }}{% endif %}\nregexp_instr({{ source_value }}, {{ regexp }}, {{ position }}, {{ occurrence }}, 0, '{{ flags }}')\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations._validate_flags"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.001812, "supported_languages": null}, "macro.dbt_expectations.bigquery__regexp_instr": {"name": "bigquery__regexp_instr", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations.bigquery__regexp_instr", "macro_sql": "{% macro bigquery__regexp_instr(source_value, regexp, position, occurrence, is_raw, flags) %}\n{% if flags %}\n    {{ dbt_expectations._validate_re2_flags(flags) }}\n    {# BigQuery prepends \"(?flags)\" to set flags for current group #}\n    {%- set regexp = \"(?\" ~ flags ~ \")\" ~ regexp -%}\n{% endif %}\n{%- set regexp = \"r'\" ~ regexp ~ \"'\" if is_raw else \"'\" ~ regexp ~ \"'\" -%}\nregexp_instr({{ source_value }}, {{ regexp }}, {{ position }}, {{ occurrence }})\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations._validate_re2_flags"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0023081, "supported_languages": null}, "macro.dbt_expectations.postgres__regexp_instr": {"name": "postgres__regexp_instr", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations.postgres__regexp_instr", "macro_sql": "{% macro postgres__regexp_instr(source_value, regexp, position, occurrence, is_raw, flags) %}\n{% if flags %}{{ dbt_expectations._validate_flags(flags, 'bcegimnpqstwx') }}{% endif %}\ncoalesce(array_length((select regexp_matches({{ source_value }}, '{{ regexp }}', '{{ flags }}')), 1), 0)\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations._validate_flags"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.002614, "supported_languages": null}, "macro.dbt_expectations.redshift__regexp_instr": {"name": "redshift__regexp_instr", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations.redshift__regexp_instr", "macro_sql": "{% macro redshift__regexp_instr(source_value, regexp, position, occurrence, is_raw, flags) %}\n{% if flags %}{{ dbt_expectations._validate_flags(flags, 'ciep') }}{% endif %}\nregexp_instr({{ source_value }}, '{{ regexp }}', {{ position }}, {{ occurrence }}, 0, '{{ flags }}')\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations._validate_flags"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0029492, "supported_languages": null}, "macro.dbt_expectations._validate_flags": {"name": "_validate_flags", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations._validate_flags", "macro_sql": "{% macro _validate_flags(flags, alphabet) %}\n{% for flag in flags %}\n    {% if flag not in alphabet %}\n    {# Using raise_compiler_error causes disabled tests with invalid flags to fail compilation #}\n    {{ exceptions.warn(\n        \"flag \" ~ flag ~ \" not in list of allowed flags for this adapter: \" ~ alphabet | join(\", \")\n    ) }}\n    {% endif %}\n{% endfor %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.003298, "supported_languages": null}, "macro.dbt_expectations._validate_re2_flags": {"name": "_validate_re2_flags", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/regex/regexp_instr.sql", "original_file_path": "macros/regex/regexp_instr.sql", "unique_id": "macro.dbt_expectations._validate_re2_flags", "macro_sql": "{% macro _validate_re2_flags(flags) %}\n{# Re2 supports following flags: #}\n{# i  :  case-insensitive (default fault) #}\n{# m  :  multi-line mode: ^ and $ match begin/end line in addition to begin/end text (default false) #}\n{# s  :  let . match \\n (default false) #}\n{# U  :  ungreedy: swap meaning of x* and x*?, x+ and x+?, etc (default false) #}\n{# Flag syntax is xyz (set) or -xyz (clear) or xy-z (set xy, clear z).  #}\n\n{# Regex explanation: do not allow consecutive dashes, accept all re2 flags and clear operator, do not end with a dash  #}\n{% set re2_flags_pattern = '^(?!.*--)[-imsU]*(?<!-)$' %}\n{% set re = modules.re %}\n{% set is_match = re.match(re2_flags_pattern, flags) %}\n{% if not is_match %}\n    {# Using raise_compiler_error causes disabled tests with invalid flags to fail compilation #}\n    {{ exceptions.warn(\n        \"flags \" ~ flags ~ \" isn't a valid re2 flag pattern\" \n    ) }}\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.003752, "supported_languages": null}, "macro.dbt_expectations.log_natural": {"name": "log_natural", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/log_natural.sql", "original_file_path": "macros/math/log_natural.sql", "unique_id": "macro.dbt_expectations.log_natural", "macro_sql": "{% macro log_natural(x) -%}\n    {{ adapter.dispatch('log_natural', 'dbt_expectations') (x) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__log_natural"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004046, "supported_languages": null}, "macro.dbt_expectations.default__log_natural": {"name": "default__log_natural", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/log_natural.sql", "original_file_path": "macros/math/log_natural.sql", "unique_id": "macro.dbt_expectations.default__log_natural", "macro_sql": "{% macro default__log_natural(x) -%}\n\n    ln({{ x }})\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004151, "supported_languages": null}, "macro.dbt_expectations.bigquery__log_natural": {"name": "bigquery__log_natural", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/log_natural.sql", "original_file_path": "macros/math/log_natural.sql", "unique_id": "macro.dbt_expectations.bigquery__log_natural", "macro_sql": "{% macro bigquery__log_natural(x) -%}\n\n    ln({{ x }})\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.00425, "supported_languages": null}, "macro.dbt_expectations.snowflake__log_natural": {"name": "snowflake__log_natural", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/log_natural.sql", "original_file_path": "macros/math/log_natural.sql", "unique_id": "macro.dbt_expectations.snowflake__log_natural", "macro_sql": "{% macro snowflake__log_natural(x) -%}\n\n    ln({{ x }})\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004351, "supported_languages": null}, "macro.dbt_expectations.rand": {"name": "rand", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/rand.sql", "original_file_path": "macros/math/rand.sql", "unique_id": "macro.dbt_expectations.rand", "macro_sql": "{% macro rand() -%}\n    {{ adapter.dispatch('rand', 'dbt_expectations') () }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.postgres__rand"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004658, "supported_languages": null}, "macro.dbt_expectations.default__rand": {"name": "default__rand", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/rand.sql", "original_file_path": "macros/math/rand.sql", "unique_id": "macro.dbt_expectations.default__rand", "macro_sql": "{% macro default__rand() -%}\n\n    rand()\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004736, "supported_languages": null}, "macro.dbt_expectations.bigquery__rand": {"name": "bigquery__rand", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/rand.sql", "original_file_path": "macros/math/rand.sql", "unique_id": "macro.dbt_expectations.bigquery__rand", "macro_sql": "{% macro bigquery__rand() -%}\n\n    rand()\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004809, "supported_languages": null}, "macro.dbt_expectations.snowflake__rand": {"name": "snowflake__rand", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/rand.sql", "original_file_path": "macros/math/rand.sql", "unique_id": "macro.dbt_expectations.snowflake__rand", "macro_sql": "{% macro snowflake__rand(seed) -%}\n\n    uniform(0::float, 1::float, random())\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0048928, "supported_languages": null}, "macro.dbt_expectations.postgres__rand": {"name": "postgres__rand", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/rand.sql", "original_file_path": "macros/math/rand.sql", "unique_id": "macro.dbt_expectations.postgres__rand", "macro_sql": "{% macro postgres__rand() -%}\n\n    random()\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.004965, "supported_languages": null}, "macro.dbt_expectations.redshift__rand": {"name": "redshift__rand", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/rand.sql", "original_file_path": "macros/math/rand.sql", "unique_id": "macro.dbt_expectations.redshift__rand", "macro_sql": "{% macro redshift__rand() -%}\n\n    random()\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.005036, "supported_languages": null}, "macro.dbt_expectations.median": {"name": "median", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/median.sql", "original_file_path": "macros/math/median.sql", "unique_id": "macro.dbt_expectations.median", "macro_sql": "{% macro median(field) %}\n{{ dbt_expectations.percentile_cont(field, 0.5) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.percentile_cont"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.005225, "supported_languages": null}, "macro.dbt_expectations.percentile_cont": {"name": "percentile_cont", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/percentile_cont.sql", "original_file_path": "macros/math/percentile_cont.sql", "unique_id": "macro.dbt_expectations.percentile_cont", "macro_sql": "{% macro percentile_cont(field, quantile, partition=None) %}\n  {{ adapter.dispatch('quantile', 'dbt_expectations') (field, quantile, partition) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__quantile"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.005728, "supported_languages": null}, "macro.dbt_expectations.default__quantile": {"name": "default__quantile", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/percentile_cont.sql", "original_file_path": "macros/math/percentile_cont.sql", "unique_id": "macro.dbt_expectations.default__quantile", "macro_sql": "{% macro default__quantile(field, quantile, partition)  -%}\n    percentile_cont({{ quantile }}) within group (order by {{ field }})\n    {%- if partition %}over(partition by {{ partition }}){% endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0059369, "supported_languages": null}, "macro.dbt_expectations.bigquery__quantile": {"name": "bigquery__quantile", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/math/percentile_cont.sql", "original_file_path": "macros/math/percentile_cont.sql", "unique_id": "macro.dbt_expectations.bigquery__quantile", "macro_sql": "{% macro bigquery__quantile(field, quantile, partition) -%}\n    percentile_cont({{ field }}, {{ quantile }})\n    over({%- if partition %}partition by {{ partition }}{% endif -%})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.006146, "supported_languages": null}, "macro.dbt_expectations.ignore_row_if_expression": {"name": "ignore_row_if_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/_ignore_row_if_expression.sql", "original_file_path": "macros/schema_tests/_generalized/_ignore_row_if_expression.sql", "unique_id": "macro.dbt_expectations.ignore_row_if_expression", "macro_sql": "{% macro ignore_row_if_expression(ignore_row_if, columns) %}\n    {{ adapter.dispatch('ignore_row_if_expression', 'dbt_expectations') (ignore_row_if, columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__ignore_row_if_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.006618, "supported_languages": null}, "macro.dbt_expectations.default__ignore_row_if_expression": {"name": "default__ignore_row_if_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/_ignore_row_if_expression.sql", "original_file_path": "macros/schema_tests/_generalized/_ignore_row_if_expression.sql", "unique_id": "macro.dbt_expectations.default__ignore_row_if_expression", "macro_sql": "{% macro default__ignore_row_if_expression(ignore_row_if, columns) %}\n  {%- set ignore_row_if_values = [\"all_values_are_missing\", \"any_value_is_missing\"] -%}\n    {% if ignore_row_if not in ignore_row_if_values %}\n        {{ exceptions.raise_compiler_error(\n            \"`ignore_row_if` must be one of \" ~ (ignore_row_if_values | join(\", \")) ~ \". Got: '\" ~ ignore_row_if ~\"'.'\"\n        ) }}\n    {% endif %}\n\n    {%- set op = \"and\" if ignore_row_if == \"all_values_are_missing\" else \"or\" -%}\n    not (\n        {% for column in columns -%}\n        {{ column }} is null{% if not loop.last %} {{ op }} {% endif %}\n        {% endfor %}\n    )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0072262, "supported_languages": null}, "macro.dbt_expectations.test_expression_between": {"name": "test_expression_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/expression_between.sql", "original_file_path": "macros/schema_tests/_generalized/expression_between.sql", "unique_id": "macro.dbt_expectations.test_expression_between", "macro_sql": "{% test expression_between(model,\n                                 expression,\n                                 min_value=None,\n                                 max_value=None,\n                                 group_by_columns=None,\n                                 row_condition=None,\n                                 strictly=False\n                                 ) %}\n\n    {{ dbt_expectations.expression_between(model, expression, min_value, max_value, group_by_columns, row_condition, strictly) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.008458, "supported_languages": null}, "macro.dbt_expectations.expression_between": {"name": "expression_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/expression_between.sql", "original_file_path": "macros/schema_tests/_generalized/expression_between.sql", "unique_id": "macro.dbt_expectations.expression_between", "macro_sql": "{% macro expression_between(model,\n                            expression,\n                            min_value,\n                            max_value,\n                            group_by_columns,\n                            row_condition,\n                            strictly\n                            ) %}\n\n{%- if min_value is none and max_value is none -%}\n{{ exceptions.raise_compiler_error(\n    \"You have to provide either a min_value, max_value or both.\"\n) }}\n{%- endif -%}\n\n{%- set strict_operator = \"\" if strictly else \"=\" -%}\n\n{% set expression_min_max %}\n( 1=1\n{%- if min_value is not none %} and {{ expression | trim }} >{{ strict_operator }} {{ min_value }}{% endif %}\n{%- if max_value is not none %} and {{ expression | trim }} <{{ strict_operator }} {{ max_value }}{% endif %}\n)\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression_min_max,\n                                        group_by_columns=group_by_columns,\n                                        row_condition=row_condition)\n                                        }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0092192, "supported_languages": null}, "macro.dbt_expectations.test_expression_is_true": {"name": "test_expression_is_true", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/expression_is_true.sql", "original_file_path": "macros/schema_tests/_generalized/expression_is_true.sql", "unique_id": "macro.dbt_expectations.test_expression_is_true", "macro_sql": "{% test expression_is_true(model,\n                                 expression,\n                                 test_condition=\"= true\",\n                                 group_by_columns=None,\n                                 row_condition=None\n                                 ) %}\n\n    {{ dbt_expectations.expression_is_true(model, expression, test_condition, group_by_columns, row_condition) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0102122, "supported_languages": null}, "macro.dbt_expectations.expression_is_true": {"name": "expression_is_true", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/expression_is_true.sql", "original_file_path": "macros/schema_tests/_generalized/expression_is_true.sql", "unique_id": "macro.dbt_expectations.expression_is_true", "macro_sql": "{% macro expression_is_true(model,\n                                 expression,\n                                 test_condition=\"= true\",\n                                 group_by_columns=None,\n                                 row_condition=None\n                                 ) %}\n    {{ adapter.dispatch('expression_is_true', 'dbt_expectations') (model, expression, test_condition, group_by_columns, row_condition) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.010514, "supported_languages": null}, "macro.dbt_expectations.default__expression_is_true": {"name": "default__expression_is_true", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/expression_is_true.sql", "original_file_path": "macros/schema_tests/_generalized/expression_is_true.sql", "unique_id": "macro.dbt_expectations.default__expression_is_true", "macro_sql": "{% macro default__expression_is_true(model, expression, test_condition, group_by_columns, row_condition) -%}\nwith grouped_expression as (\n    select\n        {% if group_by_columns %}\n        {% for group_by_column in group_by_columns -%}\n        {{ group_by_column }} as col_{{ loop.index }},\n        {% endfor -%}\n        {% endif %}\n        {{ dbt_expectations.truth_expression(expression) }}\n    from {{ model }}\n     {%- if row_condition %}\n    where\n        {{ row_condition }}\n    {% endif %}\n    {% if group_by_columns %}\n    group by\n    {% for group_by_column in group_by_columns -%}\n        {{ group_by_column }}{% if not loop.last %},{% endif %}\n    {% endfor %}\n    {% endif %}\n\n),\nvalidation_errors as (\n\n    select\n        *\n    from\n        grouped_expression\n    where\n        not(expression {{ test_condition }})\n\n)\n\nselect *\nfrom validation_errors\n\n\n{% endmacro -%}", "depends_on": {"macros": ["macro.dbt_expectations.truth_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.011144, "supported_languages": null}, "macro.dbt_expectations.get_select": {"name": "get_select", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/equal_expression.sql", "original_file_path": "macros/schema_tests/_generalized/equal_expression.sql", "unique_id": "macro.dbt_expectations.get_select", "macro_sql": "{% macro get_select(model, expression, row_condition, group_by) -%}\n    {{ adapter.dispatch('get_select', 'dbt_expectations') (model, expression, row_condition, group_by) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__get_select"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0168698, "supported_languages": null}, "macro.dbt_expectations.default__get_select": {"name": "default__get_select", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/equal_expression.sql", "original_file_path": "macros/schema_tests/_generalized/equal_expression.sql", "unique_id": "macro.dbt_expectations.default__get_select", "macro_sql": "\n\n{%- macro default__get_select(model, expression, row_condition, group_by) %}\n    select\n        {% if group_by %}\n        {% for g in group_by -%}\n            {{ g }} as col_{{ loop.index }},\n        {% endfor -%}\n        {% endif %}\n        {{ expression }} as expression\n    from\n        {{ model }}\n    {%- if row_condition %}\n    where\n        {{ row_condition }}\n    {% endif %}\n    {% if group_by %}\n    group by\n        {% for g in group_by -%}\n            {{ loop.index }}{% if not loop.last %},{% endif %}\n        {% endfor %}\n    {% endif %}\n{% endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0174348, "supported_languages": null}, "macro.dbt_expectations.test_equal_expression": {"name": "test_equal_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/equal_expression.sql", "original_file_path": "macros/schema_tests/_generalized/equal_expression.sql", "unique_id": "macro.dbt_expectations.test_equal_expression", "macro_sql": "{% test equal_expression(model, expression,\n                                compare_model=None,\n                                compare_expression=None,\n                                group_by=None,\n                                compare_group_by=None,\n                                row_condition=None,\n                                compare_row_condition=None,\n                                tolerance=0.0,\n                                tolerance_percent=None\n                                ) -%}\n\n    {{ adapter.dispatch('test_equal_expression', 'dbt_expectations') (\n                                model,\n                                expression,\n                                compare_model,\n                                compare_expression,\n                                group_by,\n                                compare_group_by,\n                                row_condition,\n                                compare_row_condition,\n                                tolerance,\n                                tolerance_percent) }}\n{%- endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_equal_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.017919, "supported_languages": null}, "macro.dbt_expectations.default__test_equal_expression": {"name": "default__test_equal_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/equal_expression.sql", "original_file_path": "macros/schema_tests/_generalized/equal_expression.sql", "unique_id": "macro.dbt_expectations.default__test_equal_expression", "macro_sql": "\n\n{%- macro default__test_equal_expression(\n                                model,\n                                expression,\n                                compare_model,\n                                compare_expression,\n                                group_by,\n                                compare_group_by,\n                                row_condition,\n                                compare_row_condition,\n                                tolerance,\n                                tolerance_percent) -%}\n\n    {%- set compare_model = model if not compare_model else compare_model -%}\n    {%- set compare_expression = expression if not compare_expression else compare_expression -%}\n    {%- set compare_row_condition = row_condition if not compare_row_condition else compare_row_condition -%}\n    {%- set compare_group_by = group_by if not compare_group_by else compare_group_by -%}\n\n    {%- set n_cols = (group_by|length) if group_by else 0 %}\n    with a as (\n        {{ dbt_expectations.get_select(model, expression, row_condition, group_by) }}\n    ),\n    b as (\n        {{ dbt_expectations.get_select(compare_model, compare_expression, compare_row_condition, compare_group_by) }}\n    ),\n    final as (\n\n        select\n            {% for i in range(1, n_cols + 1) -%}\n            coalesce(a.col_{{ i }}, b.col_{{ i }}) as col_{{ i }},\n            {% endfor %}\n            a.expression,\n            b.expression as compare_expression,\n            abs(coalesce(a.expression, 0) - coalesce(b.expression, 0)) as expression_difference,\n            abs(coalesce(a.expression, 0) - coalesce(b.expression, 0))/\n                nullif(a.expression * 1.0, 0) as expression_difference_percent\n        from\n        {% if n_cols > 0 %}\n            a\n            full outer join\n            b on\n            {% for i in range(1, n_cols + 1) -%}\n                a.col_{{ i }} = b.col_{{ i }} {% if not loop.last %}and{% endif %}\n            {% endfor -%}\n        {% else %}\n            a cross join b\n        {% endif %}\n    )\n    -- DEBUG:\n    -- select * from final\n    select\n        *\n    from final\n    where\n        {% if tolerance_percent %}\n        expression_difference_percent > {{ tolerance_percent }}\n        {% else %}\n        expression_difference > {{ tolerance }}\n        {% endif %}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_expectations.get_select"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.019274, "supported_languages": null}, "macro.dbt_expectations.truth_expression": {"name": "truth_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/_truth_expression.sql", "original_file_path": "macros/schema_tests/_generalized/_truth_expression.sql", "unique_id": "macro.dbt_expectations.truth_expression", "macro_sql": "{% macro truth_expression(expression) %}\n    {{ adapter.dispatch('truth_expression', 'dbt_expectations') (expression) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.default__truth_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.019527, "supported_languages": null}, "macro.dbt_expectations.default__truth_expression": {"name": "default__truth_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/_generalized/_truth_expression.sql", "original_file_path": "macros/schema_tests/_generalized/_truth_expression.sql", "unique_id": "macro.dbt_expectations.default__truth_expression", "macro_sql": "{% macro default__truth_expression(expression) %}\n  {{ expression }} as expression\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.019642, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_match_like_pattern": {"name": "test_expect_column_values_to_match_like_pattern", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_match_like_pattern.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_match_like_pattern.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_match_like_pattern", "macro_sql": "{% test expect_column_values_to_match_like_pattern(model, column_name,\n                                                    like_pattern,\n                                                    row_condition=None\n                                                    ) %}\n\n{% set expression = dbt_expectations._get_like_pattern_expression(column_name, like_pattern, positive=True) %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations._get_like_pattern_expression", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.02019, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_match_like_pattern_list": {"name": "test_expect_column_values_to_match_like_pattern_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_match_like_pattern_list.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_match_like_pattern_list.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_match_like_pattern_list", "macro_sql": "{% test expect_column_values_to_match_like_pattern_list(model, column_name,\n                                                    like_pattern_list,\n                                                    match_on=\"any\",\n                                                    row_condition=None\n                                                    ) %}\n\n{% set expression %}\n    {% for like_pattern in like_pattern_list %}\n    {{ dbt_expectations._get_like_pattern_expression(column_name, like_pattern, positive=True) }}\n    {%- if not loop.last %}\n    {{ \" and \" if match_on == \"all\" else \" or \"}}\n    {% endif -%}\n    {% endfor %}\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations._get_like_pattern_expression", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.021249, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_match_regex": {"name": "test_expect_column_values_to_match_regex", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_match_regex.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_match_regex.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_match_regex", "macro_sql": "{% test expect_column_values_to_match_regex(model, column_name,\n                                                    regex,\n                                                    row_condition=None,\n                                                    is_raw=False,\n                                                    flags=\"\"\n                                                    ) %}\n\n{% set expression %}\n{{ dbt_expectations.regexp_instr(column_name, regex, is_raw=is_raw, flags=flags) }} > 0\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.regexp_instr", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0219982, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_value_lengths_to_equal": {"name": "test_expect_column_value_lengths_to_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_value_lengths_to_equal.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_value_lengths_to_equal.sql", "unique_id": "macro.dbt_expectations.test_expect_column_value_lengths_to_equal", "macro_sql": "{% test expect_column_value_lengths_to_equal(model, column_name,\n                                                    value,\n                                                    row_condition=None\n                                                    ) %}\n\n{% set expression = dbt.length(column_name) ~ \" = \" ~ value %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.length", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.022549, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_value_lengths_to_be_between": {"name": "test_expect_column_value_lengths_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_value_lengths_to_be_between.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_value_lengths_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_value_lengths_to_be_between", "macro_sql": "{% test expect_column_value_lengths_to_be_between(model, column_name,\n                                                         min_value=None,\n                                                         max_value=None,\n                                                         row_condition=None,\n                                                         strictly=False\n                                                      ) %}\n{% set expression %}\n{{ dbt.length(column_name) }}\n{% endset %}\n\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=None,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.length", "macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.023374, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_not_match_regex": {"name": "test_expect_column_values_to_not_match_regex", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_regex.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_regex.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_not_match_regex", "macro_sql": "{% test expect_column_values_to_not_match_regex(model, column_name,\n                                                    regex,\n                                                    row_condition=None,\n                                                    is_raw=False,\n                                                    flags=\"\"\n                                                    ) %}\n\n{% set expression %}\n{{ dbt_expectations.regexp_instr(column_name, regex, is_raw=is_raw, flags=flags) }} = 0\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.regexp_instr", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0241122, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_not_match_regex_list": {"name": "test_expect_column_values_to_not_match_regex_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_regex_list.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_regex_list.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_not_match_regex_list", "macro_sql": "{% test expect_column_values_to_not_match_regex_list(model, column_name,\n                                                    regex_list,\n                                                    match_on=\"any\",\n                                                    row_condition=None,\n                                                    is_raw=False,\n                                                    flags=\"\"\n                                                    ) %}\n\n{% set expression %}\n{% for regex in regex_list %}\n{{ dbt_expectations.regexp_instr(column_name, regex, is_raw=is_raw, flags=flags) }} = 0\n{%- if not loop.last %}\n{{ \" and \" if match_on == \"all\" else \" or \"}}\n{% endif -%}\n{% endfor %}\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.regexp_instr", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.025252, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_match_regex_list": {"name": "test_expect_column_values_to_match_regex_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_match_regex_list.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_match_regex_list.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_match_regex_list", "macro_sql": "{% test expect_column_values_to_match_regex_list(model, column_name,\n                                                    regex_list,\n                                                    match_on=\"any\",\n                                                    row_condition=None,\n                                                    is_raw=False,\n                                                    flags=\"\"\n                                                    ) %}\n\n{% set expression %}\n    {% for regex in regex_list %}\n    {{ dbt_expectations.regexp_instr(column_name, regex, is_raw=is_raw, flags=flags) }} > 0\n    {%- if not loop.last %}\n    {{ \" and \" if match_on == \"all\" else \" or \"}}\n    {% endif -%}\n    {% endfor %}\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.regexp_instr", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.02639, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_not_match_like_pattern_list": {"name": "test_expect_column_values_to_not_match_like_pattern_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_like_pattern_list.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_like_pattern_list.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_not_match_like_pattern_list", "macro_sql": "{% test expect_column_values_to_not_match_like_pattern_list(model, column_name,\n                                                    like_pattern_list,\n                                                    match_on=\"any\",\n                                                    row_condition=None\n                                                    ) %}\n\n{% set expression %}\n    {% for like_pattern in like_pattern_list %}\n    {{ dbt_expectations._get_like_pattern_expression(column_name, like_pattern, positive=False) }}\n    {%- if not loop.last %}\n    {{ \" and \" if match_on == \"all\" else \" or \"}}\n    {% endif -%}\n    {% endfor %}\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations._get_like_pattern_expression", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.02745, "supported_languages": null}, "macro.dbt_expectations._get_like_pattern_expression": {"name": "_get_like_pattern_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/_get_like_pattern_expression.sql", "original_file_path": "macros/schema_tests/string_matching/_get_like_pattern_expression.sql", "unique_id": "macro.dbt_expectations._get_like_pattern_expression", "macro_sql": "{% macro _get_like_pattern_expression(column_name, like_pattern, positive) %}\n{{ column_name }} {{ \"not\" if not positive else \"\" }} like '{{ like_pattern }}'\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.02771, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_not_match_like_pattern": {"name": "test_expect_column_values_to_not_match_like_pattern", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_like_pattern.sql", "original_file_path": "macros/schema_tests/string_matching/expect_column_values_to_not_match_like_pattern.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_not_match_like_pattern", "macro_sql": "{% test expect_column_values_to_not_match_like_pattern(model, column_name,\n                                                    like_pattern,\n                                                    row_condition=None\n                                                    ) %}\n\n{% set expression = dbt_expectations._get_like_pattern_expression(column_name, like_pattern, positive=False) %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations._get_like_pattern_expression", "macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.028254, "supported_languages": null}, "macro.dbt_expectations.test_expect_row_values_to_have_recent_data": {"name": "test_expect_row_values_to_have_recent_data", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_row_values_to_have_recent_data.sql", "original_file_path": "macros/schema_tests/table_shape/expect_row_values_to_have_recent_data.sql", "unique_id": "macro.dbt_expectations.test_expect_row_values_to_have_recent_data", "macro_sql": "{% test expect_row_values_to_have_recent_data(model,\n                                                column_name,\n                                                datepart,\n                                                interval,\n                                                row_condition=None) %}\n\n {{ adapter.dispatch('test_expect_row_values_to_have_recent_data', 'dbt_expectations') (model,\n                                                                                        column_name,\n                                                                                        datepart,\n                                                                                        interval,\n                                                                                        row_condition) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_row_values_to_have_recent_data"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.029462, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_row_values_to_have_recent_data": {"name": "default__test_expect_row_values_to_have_recent_data", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_row_values_to_have_recent_data.sql", "original_file_path": "macros/schema_tests/table_shape/expect_row_values_to_have_recent_data.sql", "unique_id": "macro.dbt_expectations.default__test_expect_row_values_to_have_recent_data", "macro_sql": "{% macro default__test_expect_row_values_to_have_recent_data(model, column_name, datepart, interval, row_condition) %}\n{%- set default_start_date = '1970-01-01' -%}\nwith max_recency as (\n\n    select max(cast({{ column_name }} as {{ dbt_expectations.type_timestamp() }})) as max_timestamp\n    from\n        {{ model }}\n    where\n        -- to exclude erroneous future dates\n        cast({{ column_name }} as {{ dbt_expectations.type_timestamp() }}) <= {{ dbt_date.now() }}\n        {% if row_condition %}\n        and {{ row_condition }}\n        {% endif %}\n)\nselect\n    *\nfrom\n    max_recency\nwhere\n    -- if the row_condition excludes all rows, we need to compare against a default date\n    -- to avoid false negatives\n    coalesce(max_timestamp, cast('{{ default_start_date }}' as {{ dbt_expectations.type_timestamp() }}))\n        <\n        cast({{ dbt.dateadd(datepart, interval * -1, dbt_date.now()) }} as {{ dbt_expectations.type_timestamp() }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.type_timestamp", "macro.dbt_date.now", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.030091, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_columns_to_contain_set": {"name": "test_expect_table_columns_to_contain_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_columns_to_contain_set.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_columns_to_contain_set.sql", "unique_id": "macro.dbt_expectations.test_expect_table_columns_to_contain_set", "macro_sql": "{%- test expect_table_columns_to_contain_set(model, column_list, transform=\"upper\") -%}\n{%- if execute -%}\n    {%- set column_list = column_list | map(transform) | list -%}\n    {%- set relation_column_names = dbt_expectations._get_column_list(model, transform) -%}\n    {%- set matching_columns = dbt_expectations._list_intersect(column_list, relation_column_names) -%}\n    with relation_columns as (\n\n        {% for col_name in relation_column_names %}\n        select cast('{{ col_name }}' as {{ dbt.type_string() }}) as relation_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    ),\n    input_columns as (\n\n        {% for col_name in column_list %}\n        select cast('{{ col_name }}' as {{ dbt.type_string() }}) as input_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    )\n    select *\n    from\n        input_columns i\n        left join\n        relation_columns r on r.relation_column = i.input_column\n    where\n        -- catch any column in input list that is not in the list of table columns\n        r.relation_column is null\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations._get_column_list", "macro.dbt_expectations._list_intersect", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.031287, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_row_count_to_equal_other_table": {"name": "test_expect_table_row_count_to_equal_other_table", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table.sql", "unique_id": "macro.dbt_expectations.test_expect_table_row_count_to_equal_other_table", "macro_sql": "{%- test expect_table_row_count_to_equal_other_table(model,\n                                            compare_model,\n                                            group_by=None,\n                                            compare_group_by=None,\n                                            factor=1,\n                                            row_condition=None,\n                                            compare_row_condition=None\n                                        ) -%}\n\n    {{ adapter.dispatch('test_expect_table_row_count_to_equal_other_table',\n                        'dbt_expectations') (model,\n                                                compare_model,\n                                                group_by,\n                                                compare_group_by,\n                                                factor,\n                                                row_condition,\n                                                compare_row_condition\n                                            ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_table_row_count_to_equal_other_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.032345, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_table_row_count_to_equal_other_table": {"name": "default__test_expect_table_row_count_to_equal_other_table", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table.sql", "unique_id": "macro.dbt_expectations.default__test_expect_table_row_count_to_equal_other_table", "macro_sql": "\n\n{%- macro default__test_expect_table_row_count_to_equal_other_table(model,\n                                                    compare_model,\n                                                    group_by,\n                                                    compare_group_by,\n                                                    factor,\n                                                    row_condition,\n                                                    compare_row_condition\n                                                    ) -%}\n{{ dbt_expectations.test_equal_expression(model, \"count(*)\",\n    compare_model=compare_model,\n    compare_expression=\"count(*) * \" + factor|string,\n    group_by=group_by,\n    compare_group_by=compare_group_by,\n    row_condition=row_condition,\n    compare_row_condition=compare_row_condition\n) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_expectations.test_equal_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.032769, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_columns_to_not_contain_set": {"name": "test_expect_table_columns_to_not_contain_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_columns_to_not_contain_set.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_columns_to_not_contain_set.sql", "unique_id": "macro.dbt_expectations.test_expect_table_columns_to_not_contain_set", "macro_sql": "{%- test expect_table_columns_to_not_contain_set(model, column_list, transform=\"upper\") -%}\n{%- if execute -%}\n    {%- set column_list = column_list | map(transform) | list -%}\n    {%- set relation_column_names = dbt_expectations._get_column_list(model, transform) -%}\n    {%- set matching_columns = dbt_expectations._list_intersect(column_list, relation_column_names) -%}\n    with relation_columns as (\n\n        {% for col_name in relation_column_names %}\n        select cast('{{ col_name }}' as {{ dbt.type_string() }}) as relation_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    ),\n    input_columns as (\n\n        {% for col_name in column_list %}\n        select cast('{{ col_name }}' as {{ dbt.type_string() }}) as input_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    )\n    -- catch any column in input list that is in the list of table columns\n    select *\n    from\n        input_columns i\n        inner join\n        relation_columns r on r.relation_column = i.input_column\n\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations._get_column_list", "macro.dbt_expectations._list_intersect", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0339332, "supported_languages": null}, "macro.dbt_expectations.test_expect_grouped_row_values_to_have_recent_data": {"name": "test_expect_grouped_row_values_to_have_recent_data", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_grouped_row_values_to_have_recent_data.sql", "original_file_path": "macros/schema_tests/table_shape/expect_grouped_row_values_to_have_recent_data.sql", "unique_id": "macro.dbt_expectations.test_expect_grouped_row_values_to_have_recent_data", "macro_sql": "{% test expect_grouped_row_values_to_have_recent_data(model,\n                                                        group_by,\n                                                        timestamp_column,\n                                                        datepart,\n                                                        interval,\n                                                        row_condition=None) %}\n\n {{ adapter.dispatch('test_expect_grouped_row_values_to_have_recent_data', 'dbt_expectations') (model,\n                                                                                                group_by,\n                                                                                                timestamp_column,\n                                                                                                datepart,\n                                                                                                interval,\n                                                                                                row_condition) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_grouped_row_values_to_have_recent_data"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0365, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_grouped_row_values_to_have_recent_data": {"name": "default__test_expect_grouped_row_values_to_have_recent_data", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_grouped_row_values_to_have_recent_data.sql", "original_file_path": "macros/schema_tests/table_shape/expect_grouped_row_values_to_have_recent_data.sql", "unique_id": "macro.dbt_expectations.default__test_expect_grouped_row_values_to_have_recent_data", "macro_sql": "{% macro default__test_expect_grouped_row_values_to_have_recent_data(model,\n                                                                        group_by,\n                                                                        timestamp_column,\n                                                                        datepart,\n                                                                        interval,\n                                                                        row_condition) %}\nwith latest_grouped_timestamps as (\n\n    select\n        {{ group_by | join(\",\") ~ \",\" if group_by }}\n        max(1) as join_key,\n        max(cast({{ timestamp_column }} as {{ dbt_expectations.type_timestamp() }})) as latest_timestamp_column\n    from\n        {{ model }}\n    where\n        -- to exclude erroneous future dates\n        cast({{ timestamp_column }} as {{ dbt_expectations.type_timestamp() }}) <= {{ dbt_date.now() }}\n        {% if row_condition %}\n        and {{ row_condition }}\n        {% endif %}\n\n    {% if group_by -%}\n    {{  dbt_expectations.group_by(group_by | length) }}\n    {%- endif %}\n),\ntotal_row_counts as (\n\n    select\n        {{ group_by | join(\",\") ~ \",\" if group_by }}\n        max(1) as join_key,\n        count(*) as row_count\n    from\n        latest_grouped_timestamps\n    {% if group_by -%}\n    {{  dbt_expectations.group_by(group_by | length) }}\n    {%- endif %}\n\n\n),\noutdated_grouped_timestamps as (\n\n    select *\n    from\n        latest_grouped_timestamps\n    where\n        -- are the max timestamps per group older than the specified cutoff?\n        latest_timestamp_column <\n            cast(\n                {{ dbt.dateadd(datepart, interval * -1, dbt_date.now()) }}\n                as {{ dbt_expectations.type_timestamp() }}\n            )\n\n),\nvalidation_errors as (\n\n    select\n        r.row_count,\n        t.*\n    from\n        total_row_counts r\n        left join\n        outdated_grouped_timestamps t\n        on\n            {% for g in group_by %}\n            r.{{ g }} = t.{{ g }} and\n            {% endfor %}\n            r.join_key = t.join_key\n    where\n        -- fail if either no rows were returned due to row_condition,\n        -- or the recency test returned failed rows\n        r.row_count = 0\n        or\n        t.join_key is not null\n\n)\nselect * from validation_errors\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.type_timestamp", "macro.dbt_date.now", "macro.dbt_expectations.group_by", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.037554, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_to_exist": {"name": "test_expect_column_to_exist", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_column_to_exist.sql", "original_file_path": "macros/schema_tests/table_shape/expect_column_to_exist.sql", "unique_id": "macro.dbt_expectations.test_expect_column_to_exist", "macro_sql": "{%- test expect_column_to_exist(model, column_name, column_index=None, transform=\"upper\") -%}\n{%- if execute -%}\n\n    {%- set column_name = column_name | map(transform) | join -%}\n    {%- set relation_column_names = dbt_expectations._get_column_list(model, transform) -%}\n\n    {%- set matching_column_index = relation_column_names.index(column_name) if column_name in relation_column_names else -1 %}\n\n    {%- if column_index -%}\n\n        {%- set column_index_0 = column_index - 1 if column_index > 0 else 0 -%}\n\n        {%- set column_index_matches = true if matching_column_index == column_index_0 else false %}\n\n    {%- else -%}\n\n        {%- set column_index_matches = true -%}\n\n    {%- endif %}\n\n    with test_data as (\n\n        select\n            cast('{{ column_name }}' as {{ dbt.type_string() }}) as column_name,\n            {{ matching_column_index }} as matching_column_index,\n            {{ column_index_matches }} as column_index_matches\n\n    )\n    select *\n    from test_data\n    where\n        not(matching_column_index >= 0 and column_index_matches)\n\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations._get_column_list", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.038765, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_row_count_to_equal": {"name": "test_expect_table_row_count_to_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal.sql", "unique_id": "macro.dbt_expectations.test_expect_table_row_count_to_equal", "macro_sql": "{%- test expect_table_row_count_to_equal(model,\n                                            value,\n                                            group_by=None,\n                                            row_condition=None\n                                            ) -%}\n    {{ adapter.dispatch('test_expect_table_row_count_to_equal',\n                        'dbt_expectations') (model,\n                                                value,\n                                                group_by,\n                                                row_condition\n                                                ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_table_row_count_to_equal"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0394702, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_table_row_count_to_equal": {"name": "default__test_expect_table_row_count_to_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal.sql", "unique_id": "macro.dbt_expectations.default__test_expect_table_row_count_to_equal", "macro_sql": "\n\n\n\n{%- macro default__test_expect_table_row_count_to_equal(model,\n                                                value,\n                                                group_by,\n                                                row_condition\n                                                ) -%}\n{% set expression %}\ncount(*) = {{ value }}\n{% endset %}\n{{ dbt_expectations.expression_is_true(model,\n    expression=expression,\n    group_by_columns=group_by,\n    row_condition=row_condition)\n    }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0397608, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_row_count_to_be_between": {"name": "test_expect_table_row_count_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_be_between.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_table_row_count_to_be_between", "macro_sql": "{%- test expect_table_row_count_to_be_between(model,\n                                                min_value=None,\n                                                max_value=None,\n                                                group_by=None,\n                                                row_condition=None,\n                                                strictly=False\n                                            ) -%}\n    {{ adapter.dispatch('test_expect_table_row_count_to_be_between',\n                        'dbt_expectations') (model,\n                                                min_value,\n                                                max_value,\n                                                group_by,\n                                                row_condition,\n                                                strictly\n                                                ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_table_row_count_to_be_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0407, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_table_row_count_to_be_between": {"name": "default__test_expect_table_row_count_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_be_between.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_be_between.sql", "unique_id": "macro.dbt_expectations.default__test_expect_table_row_count_to_be_between", "macro_sql": "\n\n{%- macro default__test_expect_table_row_count_to_be_between(model,\n                                                min_value,\n                                                max_value,\n                                                group_by,\n                                                row_condition,\n                                                strictly\n                                                ) -%}\n{% set expression %}\ncount(*)\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n    expression=expression,\n    min_value=min_value,\n    max_value=max_value,\n    group_by_columns=group_by,\n    row_condition=row_condition,\n    strictly=strictly\n    ) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.041055, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_row_count_to_equal_other_table_times_factor": {"name": "test_expect_table_row_count_to_equal_other_table_times_factor", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table_times_factor.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table_times_factor.sql", "unique_id": "macro.dbt_expectations.test_expect_table_row_count_to_equal_other_table_times_factor", "macro_sql": "{%- test expect_table_row_count_to_equal_other_table_times_factor(model,\n                                                                    compare_model,\n                                                                    factor,\n                                                                    group_by=None,\n                                                                    compare_group_by=None,\n                                                                    row_condition=None,\n                                                                    compare_row_condition=None\n                                            ) -%}\n    {{ adapter.dispatch('test_expect_table_row_count_to_equal_other_table_times_factor',\n                        'dbt_expectations') (model,\n                                                compare_model,\n                                                factor,\n                                                group_by,\n                                                compare_group_by,\n                                                row_condition,\n                                                compare_row_condition\n                                            ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_table_row_count_to_equal_other_table_times_factor"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.04225, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_table_row_count_to_equal_other_table_times_factor": {"name": "default__test_expect_table_row_count_to_equal_other_table_times_factor", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table_times_factor.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_row_count_to_equal_other_table_times_factor.sql", "unique_id": "macro.dbt_expectations.default__test_expect_table_row_count_to_equal_other_table_times_factor", "macro_sql": "\n\n{%- macro default__test_expect_table_row_count_to_equal_other_table_times_factor(model,\n                                                                    compare_model,\n                                                                    factor,\n                                                                    group_by,\n                                                                    compare_group_by,\n                                                                    row_condition,\n                                                                    compare_row_condition\n                                                                    ) -%}\n\n{{ dbt_expectations.test_expect_table_row_count_to_equal_other_table(model,\n    compare_model,\n    group_by=group_by,\n    compare_group_by=compare_group_by,\n    factor=factor,\n    row_condition=row_condition,\n    compare_row_condition=compare_row_condition\n) }}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_expectations.test_expect_table_row_count_to_equal_other_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0425642, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_columns_to_match_set": {"name": "test_expect_table_columns_to_match_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_columns_to_match_set.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_columns_to_match_set.sql", "unique_id": "macro.dbt_expectations.test_expect_table_columns_to_match_set", "macro_sql": "{%- test expect_table_columns_to_match_set(model, column_list, transform=\"upper\") -%}\n{%- if execute -%}\n    {%- set column_list = column_list | map(transform) | list -%}\n    {%- set relation_column_names = dbt_expectations._get_column_list(model, transform) -%}\n    {%- set matching_columns = dbt_expectations._list_intersect(column_list, relation_column_names) -%}\n    with relation_columns as (\n\n        {% for col_name in relation_column_names %}\n        select cast('{{ col_name }}' as {{ dbt.type_string() }}) as relation_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    ),\n    input_columns as (\n\n        {% for col_name in column_list %}\n        select cast('{{ col_name }}' as {{ dbt.type_string() }}) as input_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    )\n    select *\n    from\n        relation_columns r\n        full outer join\n        input_columns i on r.relation_column = i.input_column\n    where\n        -- catch any column in input list that is not in the list of table columns\n        -- or any table column that is not in the input list\n        r.relation_column is null or\n        i.input_column is null\n\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations._get_column_list", "macro.dbt_expectations._list_intersect", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.043811, "supported_languages": null}, "macro.dbt_expectations._get_column_list": {"name": "_get_column_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/_get_column_list.sql", "original_file_path": "macros/schema_tests/table_shape/_get_column_list.sql", "unique_id": "macro.dbt_expectations._get_column_list", "macro_sql": "{%- macro _get_column_list(model, transform=\"upper\") -%}\n{%- set relation_columns = adapter.get_columns_in_relation(model) -%}\n{%- set relation_column_names = relation_columns | map(attribute=\"name\") | map(transform) | list -%}\n{%- do return(relation_column_names) -%}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.044197, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_columns_to_match_ordered_list": {"name": "test_expect_table_columns_to_match_ordered_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_columns_to_match_ordered_list.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_columns_to_match_ordered_list.sql", "unique_id": "macro.dbt_expectations.test_expect_table_columns_to_match_ordered_list", "macro_sql": "{%- test expect_table_columns_to_match_ordered_list(model, column_list, transform=\"upper\") -%}\n{%- if execute -%}\n    {%- set column_list = column_list | map(transform) | list -%}\n    {%- set relation_column_names = dbt_expectations._get_column_list(model, transform) -%}\n    {%- set matching_columns = dbt_expectations._list_intersect(column_list, relation_column_names) -%}\n    with relation_columns as (\n\n        {% for col_name in relation_column_names %}\n        select\n            {{ loop.index }} as relation_column_idx,\n            cast('{{ col_name }}' as {{ dbt.type_string() }}) as relation_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    ),\n    input_columns as (\n\n        {% for col_name in column_list %}\n        select\n            {{ loop.index }} as input_column_idx,\n            cast('{{ col_name }}' as {{ dbt.type_string() }}) as input_column\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    )\n    select *\n    from\n        relation_columns r\n        full outer join\n        input_columns i on r.relation_column = i.input_column and r.relation_column_idx = i.input_column_idx\n    where\n        -- catch any column in input list that is not in the sequence of table columns\n        -- or any table column that is not in the input sequence\n        r.relation_column is null or\n        i.input_column is null\n\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations._get_column_list", "macro.dbt_expectations._list_intersect", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.045652, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_aggregation_to_equal_other_table": {"name": "test_expect_table_aggregation_to_equal_other_table", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_aggregation_to_equal_other_table.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_aggregation_to_equal_other_table.sql", "unique_id": "macro.dbt_expectations.test_expect_table_aggregation_to_equal_other_table", "macro_sql": "{%- test expect_table_aggregation_to_equal_other_table(model,\n                                                expression,\n                                                compare_model,\n                                                compare_expression=None,\n                                                group_by=None,\n                                                compare_group_by=None,\n                                                row_condition=None,\n                                                compare_row_condition=None,\n                                                tolerance=0.0,\n                                                tolerance_percent=None\n                                                ) -%}\n\n\n{{ dbt_expectations.test_equal_expression(\n    model,\n    expression=expression,\n    compare_model=compare_model,\n    compare_expression=compare_expression,\n    group_by=group_by,\n    compare_group_by=compare_group_by,\n    row_condition=row_condition,\n    compare_row_condition=compare_row_condition,\n    tolerance=tolerance,\n    tolerance_percent=tolerance_percent\n) }}\n\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations.test_equal_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.046297, "supported_languages": null}, "macro.dbt_expectations._list_intersect": {"name": "_list_intersect", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/_list_intersect.sql", "original_file_path": "macros/schema_tests/table_shape/_list_intersect.sql", "unique_id": "macro.dbt_expectations._list_intersect", "macro_sql": "{%- macro _list_intersect(list1, list2) -%}\n{%- set matching_items = [] -%}\n{%- for itm in list1 -%}\n    {%- if itm in list2 -%}\n        {%- do matching_items.append(itm) -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- do return(matching_items) -%}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0467288, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_column_count_to_equal_other_table": {"name": "test_expect_table_column_count_to_equal_other_table", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_column_count_to_equal_other_table.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_column_count_to_equal_other_table.sql", "unique_id": "macro.dbt_expectations.test_expect_table_column_count_to_equal_other_table", "macro_sql": "{%- test expect_table_column_count_to_equal_other_table(model, compare_model) -%}\n{%- if execute -%}\n{%- set number_columns = (adapter.get_columns_in_relation(model) | length) -%}\n{%- set compare_number_columns = (adapter.get_columns_in_relation(compare_model) | length) -%}\nwith test_data as (\n\n    select\n        {{ number_columns }} as number_columns,\n        {{ compare_number_columns }} as compare_number_columns\n\n)\nselect *\nfrom test_data\nwhere\n    number_columns != compare_number_columns\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.047213, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_column_count_to_equal": {"name": "test_expect_table_column_count_to_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_column_count_to_equal.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_column_count_to_equal.sql", "unique_id": "macro.dbt_expectations.test_expect_table_column_count_to_equal", "macro_sql": "{%- test expect_table_column_count_to_equal(model, value) -%}\n{%- if execute -%}\n{%- set number_actual_columns = (adapter.get_columns_in_relation(model) | length) -%}\nwith test_data as (\n\n    select\n        {{ number_actual_columns }} as number_actual_columns,\n        {{ value }} as value\n\n)\nselect *\nfrom test_data\nwhere\n    number_actual_columns != value\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0475829, "supported_languages": null}, "macro.dbt_expectations.test_expect_table_column_count_to_be_between": {"name": "test_expect_table_column_count_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/table_shape/expect_table_column_count_to_be_between.sql", "original_file_path": "macros/schema_tests/table_shape/expect_table_column_count_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_table_column_count_to_be_between", "macro_sql": "{%- test expect_table_column_count_to_be_between(model,\n                                                    min_value=None,\n                                                    max_value=None\n                                                    ) -%}\n{%- if min_value is none and max_value is none -%}\n{{ exceptions.raise_compiler_error(\n    \"You have to provide either a min_value, max_value or both.\"\n) }}\n{%- endif -%}\n{%- if execute -%}\n{%- set number_actual_columns = (adapter.get_columns_in_relation(model) | length) -%}\n\n{%- set expression %}\n( 1=1\n{%- if min_value %} and number_actual_columns >= min_value{% endif %}\n{%- if max_value %} and number_actual_columns <= max_value{% endif %}\n)\n{% endset -%}\n\nwith test_data as (\n\n    select\n        {{ number_actual_columns }} as number_actual_columns,\n        {{ min_value if min_value else 0 }} as min_value,\n        {{ max_value if max_value else 0 }} as max_value\n\n)\nselect *\nfrom test_data\nwhere\n    not {{ expression }}\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0486479, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_not_be_in_set": {"name": "test_expect_column_values_to_not_be_in_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_not_be_in_set.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_not_be_in_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_not_be_in_set", "macro_sql": "{% test expect_column_values_to_not_be_in_set(model, column_name,\n                                                   value_set,\n                                                   quote_values=True,\n                                                   row_condition=None\n                                                   ) %}\n\nwith all_values as (\n\n    select\n        {{ column_name }} as value_field\n\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nset_values as (\n\n    {% for value in value_set -%}\n    select\n        {% if quote_values -%}\n        cast('{{ value }}' as {{ dbt.type_string() }})\n        {%- else -%}\n        {{ value }}\n        {%- endif %} as value_field\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n),\nvalidation_errors as (\n    -- values from the model that match the set\n    select\n        v.value_field\n    from\n        all_values v\n        join\n        set_values s on v.value_field = s.value_field\n\n)\n\nselect *\nfrom validation_errors\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.049551, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_in_set": {"name": "test_expect_column_values_to_be_in_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_in_set.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_in_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_in_set", "macro_sql": "{% test expect_column_values_to_be_in_set(model, column_name,\n                                                   value_set,\n                                                   quote_values=True,\n                                                   row_condition=None\n                                                   ) %}\n\nwith all_values as (\n\n    select\n        {{ column_name }} as value_field\n\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nset_values as (\n\n    {% for value in value_set -%}\n    select\n        {% if quote_values -%}\n        cast('{{ value }}' as {{ dbt.type_string() }})\n        {%- else -%}\n        {{ value }}\n        {%- endif %} as value_field\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n),\nvalidation_errors as (\n    -- values from the model that are not in the set\n    select\n        v.value_field\n    from\n        all_values v\n        left join\n        set_values s on v.value_field = s.value_field\n    where\n        s.value_field is null\n\n)\n\nselect *\nfrom validation_errors\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0504708, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_increasing": {"name": "test_expect_column_values_to_be_increasing", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_increasing.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_increasing.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_increasing", "macro_sql": "{% test expect_column_values_to_be_increasing(model, column_name,\n                                                   sort_column=None,\n                                                   strictly=True,\n                                                   row_condition=None,\n                                                   group_by=None) %}\n\n{%- set sort_column = column_name if not sort_column else sort_column -%}\n{%- set operator = \">\" if strictly else \">=\" -%}\nwith all_values as (\n\n    select\n        {{ sort_column }} as sort_column,\n        {%- if group_by -%}\n        {{ group_by | join(\", \") }},\n        {%- endif %}\n        {{ column_name }} as value_field\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nadd_lag_values as (\n\n    select\n        sort_column,\n        {%- if group_by -%}\n        {{ group_by | join(\", \") }},\n        {%- endif %}\n        value_field,\n        lag(value_field) over\n            {%- if not group_by -%}\n                (order by sort_column)\n            {%- else -%}\n                (partition by {{ group_by | join(\", \") }} order by sort_column)\n            {%- endif  %} as value_field_lag\n    from\n        all_values\n\n),\nvalidation_errors as (\n    select\n        *\n    from\n        add_lag_values\n    where\n        value_field_lag is not null\n        and\n        not (value_field {{ operator }} value_field_lag)\n\n)\nselect *\nfrom validation_errors\n{% endtest %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.051893, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_null": {"name": "test_expect_column_values_to_be_null", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_null.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_null.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_null", "macro_sql": "{% test expect_column_values_to_be_null(model, column_name, row_condition=None) %}\n\n{% set expression = column_name ~ \" is null\" %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0523589, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_unique": {"name": "test_expect_column_values_to_be_unique", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_unique.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_unique.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_unique", "macro_sql": "{% test expect_column_values_to_be_unique(model, column_name, row_condition=None) %}\n{{ dbt_expectations.test_expect_compound_columns_to_be_unique(model, [column_name], row_condition=row_condition) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.test_expect_compound_columns_to_be_unique"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.052616, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_between": {"name": "test_expect_column_values_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_between.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_between", "macro_sql": "{% test expect_column_values_to_be_between(model, column_name,\n                                                   min_value=None,\n                                                   max_value=None,\n                                                   row_condition=None,\n                                                   strictly=False\n                                                   ) %}\n\n{% set expression %}\n{{ column_name }}\n{% endset %}\n\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=None,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.053405, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_decreasing": {"name": "test_expect_column_values_to_be_decreasing", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_decreasing.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_decreasing.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_decreasing", "macro_sql": "{% test expect_column_values_to_be_decreasing(model, column_name,\n                                                   sort_column=None,\n                                                   strictly=True,\n                                                   row_condition=None,\n                                                   group_by=None) %}\n\n{%- set sort_column = column_name if not sort_column else sort_column -%}\n{%- set operator = \"<\" if strictly else \"<=\" %}\nwith all_values as (\n\n    select\n        {{ sort_column }} as sort_column,\n        {%- if group_by -%}\n        {{ group_by | join(\", \") }},\n        {%- endif %}\n        {{ column_name }} as value_field\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nadd_lag_values as (\n\n    select\n        sort_column,\n        value_field,\n        lag(value_field) over\n            {%- if not group_by -%}\n                (order by sort_column)\n            {%- else -%}\n                (partition by {{ group_by | join(\", \") }} order by sort_column)\n            {%- endif  %} as value_field_lag\n    from\n        all_values\n\n),\nvalidation_errors as (\n\n    select\n        *\n    from\n        add_lag_values\n    where\n        value_field_lag is not null\n        and\n        not (value_field {{ operator }} value_field_lag)\n\n)\nselect *\nfrom validation_errors\n{% endtest %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.054629, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_in_type_list": {"name": "test_expect_column_values_to_be_in_type_list", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_in_type_list.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_in_type_list.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_in_type_list", "macro_sql": "{%- test expect_column_values_to_be_in_type_list(model, column_name, column_type_list) -%}\n{%- if execute -%}\n\n    {%- set column_name = column_name | upper -%}\n    {%- set columns_in_relation = adapter.get_columns_in_relation(model) -%}\n    {%- set column_type_list = column_type_list| map(\"upper\") | list -%}\n    with relation_columns as (\n\n        {% for column in columns_in_relation %}\n        select\n            cast('{{ escape_single_quotes(column.name | upper) }}' as {{ dbt.type_string() }}) as relation_column,\n            cast('{{ column.dtype | upper }}' as {{ dbt.type_string() }}) as relation_column_type\n        {% if not loop.last %}union all{% endif %}\n        {% endfor %}\n    ),\n    test_data as (\n\n        select\n            *\n        from\n            relation_columns\n        where\n            relation_column = '{{ column_name }}'\n            and\n            relation_column_type not in ('{{ column_type_list | join(\"', '\") }}')\n\n    )\n    select *\n    from test_data\n\n{%- endif -%}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt.escape_single_quotes", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.055748, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_of_type": {"name": "test_expect_column_values_to_be_of_type", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_of_type.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_be_of_type.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_of_type", "macro_sql": "{%- test expect_column_values_to_be_of_type(model, column_name, column_type) -%}\n{{ dbt_expectations.test_expect_column_values_to_be_in_type_list(model, column_name, [column_type]) }}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations.test_expect_column_values_to_be_in_type_list"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0559812, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_have_consistent_casing": {"name": "test_expect_column_values_to_have_consistent_casing", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_have_consistent_casing.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_have_consistent_casing.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_have_consistent_casing", "macro_sql": "{% test expect_column_values_to_have_consistent_casing(model, column_name, display_inconsistent_columns=False) %}\n\nwith test_data as (\n\n    select\n        distinct {{ column_name }} as distinct_values\n    from\n        {{ model }}\n\n ),\n {% if display_inconsistent_columns %}\n validation_errors as (\n\n    select\n        lower(distinct_values) as inconsistent_columns,\n        count(distinct_values) as set_count_case_insensitive\n    from\n        test_data\n    group by 1\n    having\n        count(distinct_values) > 1\n\n )\n select * from validation_errors\n {% else %}\n validation_errors as (\n\n    select\n        count(1) as set_count,\n        count(distinct lower(distinct_values)) as set_count_case_insensitive\n    from\n        test_data\n\n )\n select *\n from\n    validation_errors\n where\n    set_count != set_count_case_insensitive\n {% endif %}\n {%- endtest -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.056405, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_not_be_null": {"name": "test_expect_column_values_to_not_be_null", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/column_values_basic/expect_column_values_to_not_be_null.sql", "original_file_path": "macros/schema_tests/column_values_basic/expect_column_values_to_not_be_null.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_not_be_null", "macro_sql": "{% test expect_column_values_to_not_be_null(model, column_name, row_condition=None) %}\n\n{% set expression = column_name ~ \" is not null\" %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.056866, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_min_to_be_between": {"name": "test_expect_column_min_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_min_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_min_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_min_to_be_between", "macro_sql": "{% test expect_column_min_to_be_between(model, column_name,\n                                                    min_value=None,\n                                                    max_value=None,\n                                                    group_by=None,\n                                                    row_condition=None,\n                                                    strictly=False\n                                                    ) %}\n{% set expression %}\nmin({{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.057682, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_unique_value_count_to_be_between": {"name": "test_expect_column_unique_value_count_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_unique_value_count_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_unique_value_count_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_unique_value_count_to_be_between", "macro_sql": "{% test expect_column_unique_value_count_to_be_between(model, column_name,\n                                                            min_value=None,\n                                                            max_value=None,\n                                                            group_by=None,\n                                                            row_condition=None,\n                                                            strictly=False\n                                                            ) %}\n{% set expression %}\ncount(distinct {{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.058508, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_quantile_values_to_be_between": {"name": "test_expect_column_quantile_values_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_quantile_values_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_quantile_values_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_quantile_values_to_be_between", "macro_sql": "{% test expect_column_quantile_values_to_be_between(model, column_name,\n                                                            quantile,\n                                                            min_value=None,\n                                                            max_value=None,\n                                                            group_by=None,\n                                                            row_condition=None,\n                                                            strictly=False\n                                                            ) %}\n\n{% set expression %}\n{{ dbt_expectations.percentile_cont(column_name, quantile) }}\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.percentile_cont", "macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0594041, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_median_to_be_between": {"name": "test_expect_column_median_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_median_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_median_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_median_to_be_between", "macro_sql": "{% test expect_column_median_to_be_between(model, column_name,\n                                                    min_value=None,\n                                                    max_value=None,\n                                                    group_by=None,\n                                                    row_condition=None,\n                                                    strictly=False\n                                                    ) %}\n\n{% set expression %}\n{{ dbt_expectations.median(column_name) }}\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.median", "macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.060246, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_proportion_of_unique_values_to_be_between": {"name": "test_expect_column_proportion_of_unique_values_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_proportion_of_unique_values_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_proportion_of_unique_values_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_proportion_of_unique_values_to_be_between", "macro_sql": "{% test expect_column_proportion_of_unique_values_to_be_between(model, column_name,\n                                                            min_value=None,\n                                                            max_value=None,\n                                                            group_by=None,\n                                                            row_condition=None,\n                                                            strictly=False\n                                                            ) %}\n{% set expression %}\ncount(distinct {{ column_name }})*1.0/count({{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.061145, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_values_to_equal_set": {"name": "test_expect_column_distinct_values_to_equal_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_values_to_equal_set.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_values_to_equal_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_values_to_equal_set", "macro_sql": "{% test expect_column_distinct_values_to_equal_set(model, column_name,\n                                                            value_set,\n                                                            quote_values=True,\n                                                            row_condition=None\n                                                            ) %}\n\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as column_value\n\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nset_values as (\n\n    {% for value in value_set -%}\n    select\n        {% if quote_values -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif %} as value_field\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n\n),\nunique_set_values as (\n\n    select distinct value_field\n    from\n        set_values\n\n),\nvalidation_errors as (\n\n    select\n        *\n    from\n        all_values v\n        full outer join\n        unique_set_values s on v.column_value = s.value_field\n    where\n        v.column_value is null or\n        s.value_field is null\n\n)\n\nselect *\nfrom validation_errors\n\n{% endtest %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.062075, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_most_common_value_to_be_in_set": {"name": "test_expect_column_most_common_value_to_be_in_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_most_common_value_to_be_in_set.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_most_common_value_to_be_in_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_most_common_value_to_be_in_set", "macro_sql": "{% test expect_column_most_common_value_to_be_in_set(model,\n                                                       column_name,\n                                                       value_set,\n                                                       top_n,\n                                                       quote_values=True,\n                                                       data_type=\"decimal\",\n                                                       row_condition=None\n                                                       ) -%}\n\n    {{ adapter.dispatch('test_expect_column_most_common_value_to_be_in_set', 'dbt_expectations') (\n            model, column_name, value_set, top_n, quote_values, data_type, row_condition\n        ) }}\n\n{%- endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_column_most_common_value_to_be_in_set"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.063966, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_column_most_common_value_to_be_in_set": {"name": "default__test_expect_column_most_common_value_to_be_in_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_most_common_value_to_be_in_set.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_most_common_value_to_be_in_set.sql", "unique_id": "macro.dbt_expectations.default__test_expect_column_most_common_value_to_be_in_set", "macro_sql": "{% macro default__test_expect_column_most_common_value_to_be_in_set(model,\n                                                                      column_name,\n                                                                      value_set,\n                                                                      top_n,\n                                                                      quote_values,\n                                                                      data_type,\n                                                                      row_condition\n                                                                      ) %}\n\nwith value_counts as (\n\n    select\n        {% if quote_values -%}\n        {{ column_name }}\n        {%- else -%}\n        cast({{ column_name }} as {{ data_type }})\n        {%- endif %} as value_field,\n        count(*) as value_count\n\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n    group by {% if quote_values -%}\n                {{ column_name }}\n            {%- else -%}\n                cast({{ column_name }} as {{ data_type }})\n            {%- endif %}\n\n),\nvalue_counts_ranked as (\n\n    select\n        *,\n        row_number() over(order by value_count desc) as value_count_rank\n    from\n        value_counts\n\n),\nvalue_count_top_n as (\n\n    select\n        value_field\n    from\n        value_counts_ranked\n    where\n        value_count_rank = {{ top_n }}\n\n),\nset_values as (\n\n    {% for value in value_set -%}\n    select\n        {% if quote_values -%}\n        '{{ value }}'\n        {%- else -%}\n        cast({{ value }} as {{ data_type }})\n        {%- endif %} as value_field\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n\n),\nunique_set_values as (\n\n    select distinct value_field\n    from\n        set_values\n\n),\nvalidation_errors as (\n    -- values from the model that are not in the set\n    select\n        value_field\n    from\n        value_count_top_n\n    where\n        value_field not in (select value_field from unique_set_values)\n\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.064817, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_values_to_contain_set": {"name": "test_expect_column_distinct_values_to_contain_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_values_to_contain_set.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_values_to_contain_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_values_to_contain_set", "macro_sql": "{% test expect_column_distinct_values_to_contain_set(model, column_name,\n                                                            value_set,\n                                                            quote_values=True,\n                                                            row_condition=None\n                                                            ) %}\n\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as value_field\n\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nset_values as (\n\n    {% for value in value_set -%}\n    select\n        {% if quote_values -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif %} as value_field\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n\n),\nunique_set_values as (\n\n    select distinct value_field\n    from\n        set_values\n\n),\nvalidation_errors as (\n    -- values in set that are not in the list of values from the model\n    select\n        s.value_field\n    from\n        unique_set_values s\n        left join\n        all_values v on s.value_field = v.value_field\n    where\n        v.value_field is null\n\n)\n\nselect *\nfrom validation_errors\n\n{% endtest %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0657501, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_count_to_equal": {"name": "test_expect_column_distinct_count_to_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_equal.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_equal.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_count_to_equal", "macro_sql": "{% test expect_column_distinct_count_to_equal(model,\n                                                column_name,\n                                                value,\n                                                group_by=None,\n                                                row_condition=None\n                                                ) %}\n{% set expression %}\ncount(distinct {{ column_name }}) = {{ value }}\n{% endset %}\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition)\n                                        }}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.066369, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_count_to_be_less_than": {"name": "test_expect_column_distinct_count_to_be_less_than", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_be_less_than.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_be_less_than.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_count_to_be_less_than", "macro_sql": "{% test expect_column_distinct_count_to_be_less_than(model,\n                                                       column_name,\n                                                       value,\n                                                       group_by=None,\n                                                       row_condition=None\n                                                       ) %}\n{% set expression %}\ncount(distinct {{ column_name }}) < {{ value }}\n{% endset %}\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition)\n                                        }}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0669901, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_sum_to_be_between": {"name": "test_expect_column_sum_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_sum_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_sum_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_sum_to_be_between", "macro_sql": "{% test expect_column_sum_to_be_between(model, column_name,\n                                                min_value=None,\n                                                max_value=None,\n                                                group_by=None,\n                                                row_condition=None,\n                                                strictly=False\n                                                ) %}\n{% set expression %}\nsum({{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0678022, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_stdev_to_be_between": {"name": "test_expect_column_stdev_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_stdev_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_stdev_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_stdev_to_be_between", "macro_sql": "{% test expect_column_stdev_to_be_between(model, column_name,\n                                                    min_value=None,\n                                                    max_value=None,\n                                                    group_by=None,\n                                                    row_condition=None,\n                                                    strictly=False\n                                                    ) -%}\n    {{ adapter.dispatch('test_expect_column_stdev_to_be_between', 'dbt_expectations') (\n                                                    model, column_name,\n                                                    min_value,\n                                                    max_value,\n                                                    group_by,\n                                                    row_condition,\n                                                    strictly\n                                                    ) }}\n{%- endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_column_stdev_to_be_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0692291, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_column_stdev_to_be_between": {"name": "default__test_expect_column_stdev_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_stdev_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_stdev_to_be_between.sql", "unique_id": "macro.dbt_expectations.default__test_expect_column_stdev_to_be_between", "macro_sql": "{% macro default__test_expect_column_stdev_to_be_between(\n                                                    model, column_name,\n                                                    min_value,\n                                                    max_value,\n                                                    group_by,\n                                                    row_condition,\n                                                    strictly\n                                                    ) %}\n\n{% set expression %}\nstddev({{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.069621, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_mean_to_be_between": {"name": "test_expect_column_mean_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_mean_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_mean_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_mean_to_be_between", "macro_sql": "{% test expect_column_mean_to_be_between(model, column_name,\n                                                    min_value=None,\n                                                    max_value=None,\n                                                    group_by=None,\n                                                    row_condition=None,\n                                                    strictly=False\n                                                    ) %}\n{% set expression %}\navg({{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0704331, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_max_to_be_between": {"name": "test_expect_column_max_to_be_between", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_max_to_be_between.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_max_to_be_between.sql", "unique_id": "macro.dbt_expectations.test_expect_column_max_to_be_between", "macro_sql": "{% test expect_column_max_to_be_between(model, column_name,\n                                                min_value=None,\n                                                max_value=None,\n                                                group_by=None,\n                                                row_condition=None,\n                                                strictly=False\n                                                ) %}\n{% set expression %}\nmax({{ column_name }})\n{% endset %}\n{{ dbt_expectations.expression_between(model,\n                                        expression=expression,\n                                        min_value=min_value,\n                                        max_value=max_value,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition,\n                                        strictly=strictly\n                                        ) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.071237, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_count_to_be_greater_than": {"name": "test_expect_column_distinct_count_to_be_greater_than", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_be_greater_than.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_be_greater_than.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_count_to_be_greater_than", "macro_sql": "{% test expect_column_distinct_count_to_be_greater_than(model,\n                                                          column_name,\n                                                          value,\n                                                          group_by=None,\n                                                          row_condition=None\n                                                          ) %}\n{% set expression %}\ncount(distinct {{ column_name }}) > {{ value }}\n{% endset %}\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition)\n                                        }}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.071862, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_values_to_be_in_set": {"name": "test_expect_column_distinct_values_to_be_in_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_values_to_be_in_set.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_values_to_be_in_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_values_to_be_in_set", "macro_sql": "{% test expect_column_distinct_values_to_be_in_set(model,\n                                                     column_name,\n                                                     value_set,\n                                                     quote_values=True,\n                                                     row_condition=None\n                                                     ) %}\n\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as value_field\n\n    from {{ model }}\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n\n),\nset_values as (\n\n    {% for value in value_set -%}\n    select\n        {% if quote_values -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif %} as value_field\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n\n),\nunique_set_values as (\n\n    select distinct value_field\n    from\n        set_values\n\n),\nvalidation_errors as (\n    -- values from the model that are not in the set\n    select\n        v.value_field\n    from\n        all_values v\n        left join\n        unique_set_values s on v.value_field = s.value_field\n    where\n        s.value_field is null\n\n)\n\nselect *\nfrom validation_errors\n\n{% endtest %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0728052, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_distinct_count_to_equal_other_table": {"name": "test_expect_column_distinct_count_to_equal_other_table", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_equal_other_table.sql", "original_file_path": "macros/schema_tests/aggregate_functions/expect_column_distinct_count_to_equal_other_table.sql", "unique_id": "macro.dbt_expectations.test_expect_column_distinct_count_to_equal_other_table", "macro_sql": "{% test expect_column_distinct_count_to_equal_other_table(model,\n                                                                compare_model,\n                                                                column_name,\n                                                                compare_column_name,\n                                                                row_condition=None,\n                                                                compare_row_condition=None\n                                                                ) %}\n{%- set expression -%}\ncount(distinct {{ column_name }})\n{%- endset -%}\n{%- set compare_expression -%}\n{%- if compare_column_name -%}\ncount(distinct {{ compare_column_name }})\n{%- else -%}\n{{ expression }}\n{%- endif -%}\n{%- endset -%}\n{{ dbt_expectations.test_equal_expression(\n    model,\n    expression=expression,\n    compare_model=compare_model,\n    compare_expression=compare_expression,\n    row_condition=row_condition,\n    compare_row_condition=compare_row_condition\n) }}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt_expectations.test_equal_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.073573, "supported_languages": null}, "macro.dbt_expectations.test_expect_row_values_to_have_data_for_every_n_datepart": {"name": "test_expect_row_values_to_have_data_for_every_n_datepart", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/distributional/expect_row_values_to_have_data_for_every_n_datepart.sql", "original_file_path": "macros/schema_tests/distributional/expect_row_values_to_have_data_for_every_n_datepart.sql", "unique_id": "macro.dbt_expectations.test_expect_row_values_to_have_data_for_every_n_datepart", "macro_sql": "{%- test expect_row_values_to_have_data_for_every_n_datepart(model,\n                                                            date_col,\n                                                            date_part=\"day\",\n                                                            interval=None,\n                                                            row_condition=None,\n                                                            exclusion_condition=None,\n                                                            test_start_date=None,\n                                                            test_end_date=None) -%}\n{% if not execute %}\n    {{ return('') }}\n{% endif %}\n\n{% if not test_start_date or not test_end_date %}\n    {% set sql %}\n\n        select\n            min({{ date_col }}) as start_{{ date_part }},\n            max({{ date_col }}) as end_{{ date_part }}\n        from {{ model }}\n        {% if row_condition %}\n        where {{ row_condition }}\n        {% endif %}\n\n    {% endset %}\n\n    {%- set dr = run_query(sql) -%}\n    {%- set db_start_date = dr.columns[0].values()[0].strftime('%Y-%m-%d') -%}\n    {%- set db_end_date = dr.columns[1].values()[0].strftime('%Y-%m-%d') -%}\n\n{% endif %}\n\n{% if not test_start_date %}\n{% set start_date = db_start_date %}\n{% else %}\n{% set start_date = test_start_date %}\n{% endif %}\n\n\n{% if not test_end_date %}\n{% set end_date = db_end_date %}\n{% else %}\n{% set end_date = test_end_date %}\n{% endif %}\nwith base_dates as (\n\n    {{ dbt_date.get_base_dates(start_date=start_date, end_date=end_date, datepart=date_part) }}\n    {% if interval %}\n    {#\n        Filter the date spine created above down to the interval granularity using a modulo operation.\n        The number of date_parts after the start_date divided by the integer interval will produce no remainder for the desired intervals,\n        e.g. for 2-day interval from a starting Jan 1, 2020:\n            params: start_date = '2020-01-01', date_part = 'day', interval = 2\n            date spine created above: [2020-01-01, 2020-01-02, 2020-01-03, 2020-01-04, 2020-01-05, ...]\n            The first parameter to the `mod` function would be the number of days between the start_date and the spine date, i.e. [0, 1, 2, 3, 4 ...]\n            The second parameter to the `mod` function would be the integer interval, i.e. 2\n            This modulo operation produces the following remainders: [0, 1, 0, 1, 0, ...]\n            Filtering the spine only where this remainder == 0 will return a spine with every other day as desired, i.e. [2020-01-01, 2020-01-03, 2020-01-05, ...]\n    #}\n    where mod(\n            cast({{ dbt.datediff(\"'\" ~ start_date ~ \"'\", 'date_' ~ date_part, date_part) }} as {{ dbt.type_int() }}),\n            cast({{interval}} as {{ dbt.type_int() }})\n        ) = 0\n    {% endif %}\n\n),\nmodel_data as (\n\n    select\n    {% if not interval %}\n\n        cast({{ dbt.date_trunc(date_part, date_col) }} as {{ dbt_expectations.type_datetime() }}) as date_{{ date_part }},\n\n    {% else %}\n        {#\n            Use a modulo operator to determine the number of intervals that a date_col is away from the interval-date spine\n            and subtracts that amount to effectively slice each date_col record into its corresponding spine bucket,\n            e.g. given a date_col of with records [2020-01-01, 2020-01-02, 2020-01-03, 2020-01-11, 2020-01-12]\n                if we want to slice these dates into their 2-day buckets starting Jan 1, 2020 (start_date = '2020-01-01', date_part='day', interval=2),\n                the modulo operation described above will produce these remainders: [0, 1, 0, 0, 1]\n                subtracting that number of days from the observations will produce records [2020-01-01, 2020-01-01, 2020-01-03, 2020-01-11, 2020-01-11],\n                all of which align with records from the interval-date spine\n        #}\n        {{ dbt.dateadd(\n            date_part,\n            \"mod(\n                cast(\" ~ dbt.datediff(\"'\" ~ start_date ~ \"'\", date_col, date_part) ~ \" as \" ~ dbt.type_int() ~ \" ),\n                cast(\" ~ interval ~ \" as  \" ~ dbt.type_int() ~ \" )\n            ) * (-1)\",\n            \"cast( \" ~ dbt.date_trunc(date_part, date_col) ~ \" as  \" ~ dbt_expectations.type_datetime() ~ \")\"\n        )}} as date_{{ date_part }},\n\n    {% endif %}\n\n        count(*) as row_cnt\n    from\n        {{ model }} f\n    {% if row_condition %}\n    where {{ row_condition }}\n    {% endif %}\n    group by\n        date_{{date_part}}\n\n),\n\nfinal as (\n\n    select\n        cast(d.date_{{ date_part }} as {{ dbt_expectations.type_datetime() }}) as date_{{ date_part }},\n        case when f.date_{{ date_part }} is null then true else false end as is_missing,\n        coalesce(f.row_cnt, 0) as row_cnt\n    from\n        base_dates d\n        left join\n        model_data f on cast(d.date_{{ date_part }} as {{ dbt_expectations.type_datetime() }}) = f.date_{{ date_part }}\n)\nselect\n    *\nfrom final\nwhere row_cnt = 0\n{% if exclusion_condition %}\n  and {{ exclusion_condition }}\n{% endif %}\n{%- endtest -%}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt_date.get_base_dates", "macro.dbt.datediff", "macro.dbt.type_int", "macro.dbt.date_trunc", "macro.dbt_expectations.type_datetime", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0776289, "supported_languages": null}, "macro.dbt_expectations._get_metric_expression": {"name": "_get_metric_expression", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_moving_stdevs.sql", "original_file_path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_moving_stdevs.sql", "unique_id": "macro.dbt_expectations._get_metric_expression", "macro_sql": "{%- macro _get_metric_expression(metric_column, take_logs) -%}\n\n{%- if take_logs %}\n{%- set expr = \"nullif(\" ~ metric_column ~ \", 0)\" -%}\ncoalesce({{ dbt_expectations.log_natural(expr) }}, 0)\n{%- else -%}\ncoalesce({{ metric_column }}, 0)\n{%- endif %}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_expectations.log_natural"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.082305, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_within_n_moving_stdevs": {"name": "test_expect_column_values_to_be_within_n_moving_stdevs", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_moving_stdevs.sql", "original_file_path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_moving_stdevs.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_within_n_moving_stdevs", "macro_sql": "{% test expect_column_values_to_be_within_n_moving_stdevs(model,\n                                  column_name,\n                                  date_column_name,\n                                  group_by=None,\n                                  period='day',\n                                  lookback_periods=1,\n                                  trend_periods=7,\n                                  test_periods=14,\n                                  sigma_threshold=3,\n                                  sigma_threshold_upper=None,\n                                  sigma_threshold_lower=None,\n                                  take_diffs=true,\n                                  take_logs=true\n                                ) -%}\n    {{ adapter.dispatch('test_expect_column_values_to_be_within_n_moving_stdevs', 'dbt_expectations') (model,\n                                  column_name,\n                                  date_column_name,\n                                  group_by,\n                                  period,\n                                  lookback_periods,\n                                  trend_periods,\n                                  test_periods,\n                                  sigma_threshold,\n                                  sigma_threshold_upper,\n                                  sigma_threshold_lower,\n                                  take_diffs,\n                                  take_logs\n                                ) }}\n{%- endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_column_values_to_be_within_n_moving_stdevs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0828822, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_column_values_to_be_within_n_moving_stdevs": {"name": "default__test_expect_column_values_to_be_within_n_moving_stdevs", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_moving_stdevs.sql", "original_file_path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_moving_stdevs.sql", "unique_id": "macro.dbt_expectations.default__test_expect_column_values_to_be_within_n_moving_stdevs", "macro_sql": "{% macro default__test_expect_column_values_to_be_within_n_moving_stdevs(model,\n                                  column_name,\n                                  date_column_name,\n                                  group_by,\n                                  period,\n                                  lookback_periods,\n                                  trend_periods,\n                                  test_periods,\n                                  sigma_threshold,\n                                  sigma_threshold_upper,\n                                  sigma_threshold_lower,\n                                  take_diffs,\n                                  take_logs\n                                ) %}\n\n{%- set sigma_threshold_upper = sigma_threshold_upper if sigma_threshold_upper else sigma_threshold -%}\n{%- set sigma_threshold_lower = sigma_threshold_lower if sigma_threshold_lower else -1 * sigma_threshold -%}\n{%- set partition_by = \"partition by \" ~ (group_by | join(\",\")) if group_by -%}\n{%- set group_by_length = (group_by | length ) if group_by else 0 -%}\n\nwith metric_values as (\n\n    with grouped_metric_values as (\n\n        select\n            {{ dbt.date_trunc(period, date_column_name) }} as metric_period,\n            {{ group_by | join(\",\") ~ \",\" if group_by }}\n            sum({{ column_name }}) as agg_metric_value\n        from\n            {{ model }}\n        {{  dbt_expectations.group_by(1 + group_by_length) }}\n\n    )\n    {%- if take_diffs %}\n    , grouped_metric_values_with_priors as (\n\n        select\n            *,\n            lag(agg_metric_value, {{ lookback_periods }}) over(\n                {{ partition_by }}\n                order by metric_period) as prior_agg_metric_value\n    from\n        grouped_metric_values d\n\n    )\n    select\n        *,\n        {{ dbt_expectations._get_metric_expression(\"agg_metric_value\", take_logs) }}\n        -\n        {{ dbt_expectations._get_metric_expression(\"prior_agg_metric_value\", take_logs) }}\n        as metric_test_value\n    from\n        grouped_metric_values_with_priors d\n\n    {%- else %}\n\n    select\n        *,\n        {{ dbt_expectations._get_metric_expression(\"agg_metric_value\", take_logs) }}\n        as metric_test_value\n    from\n        grouped_metric_values\n\n    {%- endif %}\n\n),\nmetric_moving_calcs as (\n\n    select\n        *,\n        avg(metric_test_value)\n            over({{ partition_by }}\n                    order by metric_period rows\n                    between {{ trend_periods }} preceding and 1 preceding) as metric_test_rolling_average,\n        stddev(metric_test_value)\n            over({{ partition_by }}\n                    order by metric_period rows\n                    between {{ trend_periods }} preceding and 1 preceding) as metric_test_rolling_stddev\n    from\n        metric_values\n\n),\nmetric_sigma as (\n\n    select\n        *,\n        (metric_test_value - metric_test_rolling_average) as metric_test_delta,\n        (metric_test_value - metric_test_rolling_average)/\n            nullif(metric_test_rolling_stddev, 0) as metric_test_sigma\n    from\n        metric_moving_calcs\n\n)\nselect\n    *\nfrom\n    metric_sigma\nwhere\n\n    metric_period >= cast(\n            {{ dbt.dateadd(period, -test_periods, dbt.date_trunc(period, dbt_date.now())) }}\n            as {{ dbt_expectations.type_timestamp() }})\n    and\n    metric_period < {{ dbt.date_trunc(period, dbt_date.now()) }}\n    and\n\n    not (\n        metric_test_sigma >= {{ sigma_threshold_lower }} and\n        metric_test_sigma <= {{ sigma_threshold_upper }}\n    )\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.date_trunc", "macro.dbt_expectations.group_by", "macro.dbt_expectations._get_metric_expression", "macro.dbt.dateadd", "macro.dbt_date.now", "macro.dbt_expectations.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0844212, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_values_to_be_within_n_stdevs": {"name": "test_expect_column_values_to_be_within_n_stdevs", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_stdevs.sql", "original_file_path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_stdevs.sql", "unique_id": "macro.dbt_expectations.test_expect_column_values_to_be_within_n_stdevs", "macro_sql": "{% test expect_column_values_to_be_within_n_stdevs(model,\n                                  column_name,\n                                  group_by=None,\n                                  sigma_threshold=3\n                                ) -%}\n    {{\n        adapter.dispatch('test_expect_column_values_to_be_within_n_stdevs', 'dbt_expectations') (\n            model, column_name, group_by, sigma_threshold\n        )\n    }}\n{%- endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_column_values_to_be_within_n_stdevs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.085334, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_column_values_to_be_within_n_stdevs": {"name": "default__test_expect_column_values_to_be_within_n_stdevs", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_stdevs.sql", "original_file_path": "macros/schema_tests/distributional/expect_column_values_to_be_within_n_stdevs.sql", "unique_id": "macro.dbt_expectations.default__test_expect_column_values_to_be_within_n_stdevs", "macro_sql": "{% macro default__test_expect_column_values_to_be_within_n_stdevs(model,\n                                  column_name,\n                                  group_by,\n                                  sigma_threshold\n                                ) %}\n\nwith metric_values as (\n\n    select\n        {{ group_by | join(\",\") ~ \",\" if group_by }}\n        sum({{ column_name }}) as {{ column_name }}\n    from\n        {{ model }}\n    {% if group_by -%}\n    {{  dbt_expectations.group_by(group_by | length) }}\n    {%- endif %}\n\n),\nmetric_values_with_statistics as (\n\n    select\n        *,\n        avg({{ column_name }}) over() as {{ column_name }}_average,\n        stddev({{ column_name }}) over() as {{ column_name }}_stddev\n    from\n        metric_values\n\n),\nmetric_values_z_scores as (\n\n    select\n        *,\n        ({{ column_name }} - {{ column_name }}_average)/\n            nullif({{ column_name }}_stddev, 0) as {{ column_name }}_sigma\n    from\n        metric_values_with_statistics\n\n)\nselect\n    *\nfrom\n    metric_values_z_scores\nwhere\n    abs({{ column_name }}_sigma) > {{ sigma_threshold }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.group_by"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.085928, "supported_languages": null}, "macro.dbt_expectations.test_expect_select_column_values_to_be_unique_within_record": {"name": "test_expect_select_column_values_to_be_unique_within_record", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_select_column_values_to_be_unique_within_record.sql", "original_file_path": "macros/schema_tests/multi-column/expect_select_column_values_to_be_unique_within_record.sql", "unique_id": "macro.dbt_expectations.test_expect_select_column_values_to_be_unique_within_record", "macro_sql": "{% test expect_select_column_values_to_be_unique_within_record(model,\n                                                    column_list,\n                                                    quote_columns=False,\n                                                    ignore_row_if=\"all_values_are_missing\",\n                                                    row_condition=None\n                                                    )  -%}\n    {{ adapter.dispatch('test_expect_select_column_values_to_be_unique_within_record', 'dbt_expectations') (model, column_list, quote_columns, ignore_row_if, row_condition) }}\n{%- endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.default__test_expect_select_column_values_to_be_unique_within_record"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0875049, "supported_languages": null}, "macro.dbt_expectations.default__test_expect_select_column_values_to_be_unique_within_record": {"name": "default__test_expect_select_column_values_to_be_unique_within_record", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_select_column_values_to_be_unique_within_record.sql", "original_file_path": "macros/schema_tests/multi-column/expect_select_column_values_to_be_unique_within_record.sql", "unique_id": "macro.dbt_expectations.default__test_expect_select_column_values_to_be_unique_within_record", "macro_sql": "{% macro default__test_expect_select_column_values_to_be_unique_within_record(model,\n                                                    column_list,\n                                                    quote_columns,\n                                                    ignore_row_if,\n                                                    row_condition\n                                                    ) %}\n\n{% if not quote_columns %}\n    {%- set columns=column_list %}\n{% elif quote_columns %}\n    {%- set columns=[] %}\n        {% for column in column_list -%}\n            {% set columns = columns.append( adapter.quote(column) ) %}\n        {%- endfor %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`quote_columns` argument for unique_combination_of_columns test must be one of [True, False] Got: '\" ~ quote_columns ~\"'.'\"\n    ) }}\n{% endif %}\n\n{%- set row_condition_ext -%}\n\n    {%- if row_condition  %}\n    {{ row_condition }} and\n    {% endif -%}\n\n    {{ dbt_expectations.ignore_row_if_expression(ignore_row_if, columns) }}\n\n{%- endset -%}\n\nwith column_values as (\n\n    select\n        row_number() over(order by 1) as row_index,\n        {% for column in columns -%}\n        {{ column }}{% if not loop.last %},{% endif %}\n        {%- endfor %}\n    from {{ model }}\n    where\n        1=1\n    {%- if row_condition_ext %}\n        and {{ row_condition_ext }}\n    {% endif %}\n\n),\nunpivot_columns as (\n\n    {% for column in columns %}\n    select row_index, '{{ column }}' as column_name, {{ column }} as column_value from column_values\n    {% if not loop.last %}union all{% endif %}\n    {% endfor %}\n),\nvalidation_errors as (\n\n    select\n        row_index,\n        count(distinct column_value) as column_values\n    from unpivot_columns\n    group by 1\n    having count(distinct column_value) < {{ columns | length }}\n\n)\nselect * from validation_errors\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_expectations.ignore_row_if_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.088628, "supported_languages": null}, "macro.dbt_expectations.test_expect_compound_columns_to_be_unique": {"name": "test_expect_compound_columns_to_be_unique", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_compound_columns_to_be_unique.sql", "original_file_path": "macros/schema_tests/multi-column/expect_compound_columns_to_be_unique.sql", "unique_id": "macro.dbt_expectations.test_expect_compound_columns_to_be_unique", "macro_sql": "{% test expect_compound_columns_to_be_unique(model,\n                                                column_list,\n                                                quote_columns=False,\n                                                ignore_row_if=\"all_values_are_missing\",\n                                                row_condition=None\n                                                ) %}\n{% if not column_list %}\n    {{ exceptions.raise_compiler_error(\n        \"`column_list` must be specified as a list of columns. Got: '\" ~ column_list ~\"'.'\"\n    ) }}\n{% endif %}\n\n{% if not quote_columns %}\n    {%- set columns=column_list %}\n{% elif quote_columns %}\n    {%- set columns=[] %}\n        {% for column in column_list -%}\n            {% set columns = columns.append( adapter.quote(column) ) %}\n        {%- endfor %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`quote_columns` argument for expect_compound_columns_to_be_unique test must be one of [True, False] Got: '\" ~ quote_columns ~\"'.'\"\n    ) }}\n{% endif %}\n\n{%- set row_condition_ext -%}\n\n    {%- if row_condition  %}\n    {{ row_condition }} and\n    {% endif -%}\n\n    {{ dbt_expectations.ignore_row_if_expression(ignore_row_if, columns) }}\n\n{%- endset -%}\n\nwith validation_errors as (\n\n    select\n        {% for column in columns -%}\n        {{ column }}{% if not loop.last %},{% endif %}\n        {%- endfor %}\n    from {{ model }}\n    where\n        1=1\n    {%- if row_condition_ext %}\n        and {{ row_condition_ext }}\n    {% endif %}\n    group by\n        {% for column in columns -%}\n        {{ column }}{% if not loop.last %},{% endif %}\n        {%- endfor %}\n    having count(*) > 1\n\n)\nselect * from validation_errors\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.ignore_row_if_expression"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0906932, "supported_languages": null}, "macro.dbt_expectations.test_expect_multicolumn_sum_to_equal": {"name": "test_expect_multicolumn_sum_to_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_multicolumn_sum_to_equal.sql", "original_file_path": "macros/schema_tests/multi-column/expect_multicolumn_sum_to_equal.sql", "unique_id": "macro.dbt_expectations.test_expect_multicolumn_sum_to_equal", "macro_sql": "{% test expect_multicolumn_sum_to_equal(model,\n                                                column_list,\n                                                sum_total,\n                                                group_by=None,\n                                                row_condition=None\n                                                ) %}\n\n{% set expression %}\n{% for column in column_list %}\nsum({{ column }}){% if not loop.last %} + {% endif %}\n{% endfor %} = {{ sum_total }}\n{% endset %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=group_by,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0916212, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_pair_values_to_be_equal": {"name": "test_expect_column_pair_values_to_be_equal", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_column_pair_values_to_be_equal.sql", "original_file_path": "macros/schema_tests/multi-column/expect_column_pair_values_to_be_equal.sql", "unique_id": "macro.dbt_expectations.test_expect_column_pair_values_to_be_equal", "macro_sql": "{% test expect_column_pair_values_to_be_equal(model,\n                                                        column_A,\n                                                        column_B,\n                                                        row_condition=None\n                                                        ) %}\n\n{% set operator = \"=\" %}\n{% set expression = column_A ~ \" \" ~ operator ~ \" \" ~ column_B %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.092242, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_pair_values_A_to_be_greater_than_B": {"name": "test_expect_column_pair_values_A_to_be_greater_than_B", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_column_pair_values_A_to_be_greater_than_B.sql", "original_file_path": "macros/schema_tests/multi-column/expect_column_pair_values_A_to_be_greater_than_B.sql", "unique_id": "macro.dbt_expectations.test_expect_column_pair_values_A_to_be_greater_than_B", "macro_sql": "{% test expect_column_pair_values_A_to_be_greater_than_B(model,\n                                                                column_A,\n                                                                column_B,\n                                                                or_equal=False,\n                                                                row_condition=None\n                                                                ) %}\n\n{% set operator = \">=\" if or_equal else \">\" %}\n{% set expression = column_A ~ \" \" ~ operator ~ \" \" ~ column_B %}\n\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.092938, "supported_languages": null}, "macro.dbt_expectations.test_expect_column_pair_values_to_be_in_set": {"name": "test_expect_column_pair_values_to_be_in_set", "resource_type": "macro", "package_name": "dbt_expectations", "path": "macros/schema_tests/multi-column/expect_column_pair_values_to_be_in_set.sql", "original_file_path": "macros/schema_tests/multi-column/expect_column_pair_values_to_be_in_set.sql", "unique_id": "macro.dbt_expectations.test_expect_column_pair_values_to_be_in_set", "macro_sql": "{% test expect_column_pair_values_to_be_in_set(model,\n                                                        column_A,\n                                                        column_B,\n                                                        value_pairs_set,\n                                                        row_condition=None\n                                                        ) %}\n\n{% set expression %}\n{% for pair in value_pairs_set %}\n{%- if (pair | length) == 2 %}\n({{ column_A }} = {{ pair[0] }} and {{ column_B }} = {{ pair[1] }}){% if not loop.last %} or {% endif %}\n{% else %}\n{{ exceptions.raise_compiler_error(\n        \"`value_pairs_set` argument for expect_column_pair_values_to_be_in_set test cannot have more than 2 item per element.\n        Got: '\" ~ pair ~ \"'.'\"\n    ) }}\n{% endif %}\n{% endfor %}\n{% endset %}\n{{ dbt_expectations.expression_is_true(model,\n                                        expression=expression,\n                                        group_by_columns=None,\n                                        row_condition=row_condition\n                                        )\n                                        }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_expectations.expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1693595969.0943701, "supported_languages": null}}, "docs": {"doc.dbt.__overview__": {"name": "__overview__", "resource_type": "doc", "package_name": "dbt", "path": "overview.md", "original_file_path": "docs/overview.md", "unique_id": "doc.dbt.__overview__", "block_contents": "### Welcome!\n\nWelcome to the auto-generated documentation for your dbt project!\n\n### Navigation\n\nYou can use the `Project` and `Database` navigation tabs on the left side of the window to explore the models\nin your project.\n\n#### Project Tab\nThe `Project` tab mirrors the directory structure of your dbt project. In this tab, you can see all of the\nmodels defined in your dbt project, as well as models imported from dbt packages.\n\n#### Database Tab\nThe `Database` tab also exposes your models, but in a format that looks more like a database explorer. This view\nshows relations (tables and views) grouped into database schemas. Note that ephemeral models are _not_ shown\nin this interface, as they do not exist in the database.\n\n### Graph Exploration\nYou can click the blue icon on the bottom-right corner of the page to view the lineage graph of your models.\n\nOn model pages, you'll see the immediate parents and children of the model you're exploring. By clicking the `Expand`\nbutton at the top-right of this lineage pane, you'll be able to see all of the models that are used to build,\nor are built from, the model you're exploring.\n\nOnce expanded, you'll be able to use the `--select` and `--exclude` model selection syntax to filter the\nmodels in the graph. For more information on model selection, check out the [dbt docs](https://docs.getdbt.com/docs/model-selection-syntax).\n\nNote that you can also right-click on models to interactively filter and explore the graph.\n\n---\n\n### More information\n\n- [What is dbt](https://docs.getdbt.com/docs/introduction)?\n- Read the [dbt viewpoint](https://docs.getdbt.com/docs/viewpoint)\n- [Installation](https://docs.getdbt.com/docs/installation)\n- Join the [dbt Community](https://www.getdbt.com/community/) for questions and discussion"}, "doc.google_ads_source._fivetran_id": {"name": "_fivetran_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source._fivetran_id", "block_contents": "Unique ID used by Fivetran to sync and dedupe data."}, "doc.google_ads_source._fivetran_synced": {"name": "_fivetran_synced", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source._fivetran_synced", "block_contents": "Timestamp of when a record was last synced."}, "doc.google_ads_source.account_descriptive_name": {"name": "account_descriptive_name", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.account_descriptive_name", "block_contents": "The descriptive name of the Customer account."}, "doc.google_ads_source.ad_group_id": {"name": "ad_group_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_id", "block_contents": "The ID of the AdGroup."}, "doc.google_ads_source.ad_group_name": {"name": "ad_group_name", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_name", "block_contents": "The name of the AdGroup."}, "doc.google_ads_source.ad_group_status": {"name": "ad_group_status", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_status", "block_contents": "Status of the ad group."}, "doc.google_ads_source.campaign_id": {"name": "campaign_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.campaign_id", "block_contents": "The ID of the Campaign."}, "doc.google_ads_source.ad_id": {"name": "ad_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_id", "block_contents": "The ID of the Ad."}, "doc.google_ads_source.account_id": {"name": "account_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.account_id", "block_contents": "The ID of the Account."}, "doc.google_ads_source.ad_status": {"name": "ad_status", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_status", "block_contents": "Status of the Ad."}, "doc.google_ads_source.campaign_name": {"name": "campaign_name", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.campaign_name", "block_contents": "The name of the Campaign."}, "doc.google_ads_source.campaign_status": {"name": "campaign_status", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.campaign_status", "block_contents": "Status of the Campaign."}, "doc.google_ads_source.clicks": {"name": "clicks", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.clicks", "block_contents": "The number of clicks."}, "doc.google_ads_source.cost": {"name": "cost", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.cost", "block_contents": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period."}, "doc.google_ads_source.date": {"name": "date", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.date", "block_contents": "The date being reported on."}, "doc.google_ads_source.effective_final_url": {"name": "effective_final_url", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.effective_final_url", "block_contents": "Effective final URL of the impressions."}, "doc.google_ads_source.external_customer_id": {"name": "external_customer_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.external_customer_id", "block_contents": "The Customer ID."}, "doc.google_ads_source.impressions": {"name": "impressions", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.impressions", "block_contents": "Count of how often your ad has appeared on a search results page or website on the Google Network."}, "doc.google_ads_source.criteria_id": {"name": "criteria_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria_id", "block_contents": "The Criterion ID."}, "doc.google_ads_source.gcl_id": {"name": "gcl_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.gcl_id", "block_contents": "The Google Click ID."}, "doc.google_ads_source.criteria": {"name": "criteria", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria", "block_contents": "Descriptive string for the Criterion."}, "doc.google_ads_source.criteria_destination_url": {"name": "criteria_destination_url", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria_destination_url", "block_contents": "Destination URL of the criterion that triggered ads."}, "doc.google_ads_source.criteria_type": {"name": "criteria_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria_type", "block_contents": "The type of the Criterion."}, "doc.google_ads_source.base_url": {"name": "base_url", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.base_url", "block_contents": "The base URL of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.url_host": {"name": "url_host", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.url_host", "block_contents": "The URL host of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.url_path": {"name": "url_path", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.url_path", "block_contents": "The URL path of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_source": {"name": "utm_source", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_source", "block_contents": "The utm_source parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_medium": {"name": "utm_medium", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_medium", "block_contents": "The utm_medium parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_campaign": {"name": "utm_campaign", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_campaign", "block_contents": "The utm_campaign parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_content": {"name": "utm_content", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_content", "block_contents": "The utm_content parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_term": {"name": "utm_term", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_term", "block_contents": "The utm_term parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.updated_at": {"name": "updated_at", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.updated_at", "block_contents": "Timestamp of when the record was last updated in Google Ads."}, "doc.google_ads_source.ad_type": {"name": "ad_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_type", "block_contents": "The type of the ad in Google Ads."}, "doc.google_ads_source.ad_group_type": {"name": "ad_group_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_type", "block_contents": "The type of the ad group in Google Ads."}, "doc.google_ads_source.is_most_recent_record": {"name": "is_most_recent_record", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.is_most_recent_record", "block_contents": "Boolean representing whether the record is the most recent version of the object."}, "doc.google_ads_source.ad_network_type": {"name": "ad_network_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_network_type", "block_contents": "The Google Ad network type used across the account."}, "doc.google_ads_source.device": {"name": "device", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.device", "block_contents": "Account ad performance per unique device where the ads were served."}, "doc.google_ads_source.source_relation": {"name": "source_relation", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.source_relation", "block_contents": "The source of the record if the unioning functionality is being used. If not this field will be empty."}}, "exposures": {}, "metrics": {}, "groups": {}, "selectors": {}, "disabled": {}, "parent_map": {"seed.google_ads_integration_tests.keyword_stats_data": [], "seed.google_ads_integration_tests.campaign_stats_data": [], "seed.google_ads_integration_tests.ad_group_stats_data": [], "seed.google_ads_integration_tests.ad_history_data": [], "seed.google_ads_integration_tests.ad_group_history_data": [], "seed.google_ads_integration_tests.campaign_history_data": [], "seed.google_ads_integration_tests.account_history_data": [], "seed.google_ads_integration_tests.ad_group_criterion_history_data": [], "seed.google_ads_integration_tests.account_stats_data": [], "seed.google_ads_integration_tests.ad_stats_data": [], "model.google_ads.google_ads__keyword_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_criterion_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__keyword_stats"], "model.google_ads.google_ads__campaign_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__campaign_stats"], "model.google_ads.google_ads__url_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history", "model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__campaign_history"], "model.google_ads.google_ads__ad_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history", "model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__campaign_history"], "model.google_ads.google_ads__ad_group_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_group_stats", "model.google_ads_source.stg_google_ads__campaign_history"], "model.google_ads.google_ads__account_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__account_stats"], "model.google_ads_source.stg_google_ads__ad_group_stats": ["model.google_ads_source.stg_google_ads__ad_group_stats_tmp", "model.google_ads_source.stg_google_ads__ad_group_stats_tmp"], "model.google_ads_source.stg_google_ads__account_stats": ["model.google_ads_source.stg_google_ads__account_stats_tmp", "model.google_ads_source.stg_google_ads__account_stats_tmp"], "model.google_ads_source.stg_google_ads__ad_group_history": ["model.google_ads_source.stg_google_ads__ad_group_history_tmp", "model.google_ads_source.stg_google_ads__ad_group_history_tmp"], "model.google_ads_source.stg_google_ads__ad_history": ["model.google_ads_source.stg_google_ads__ad_history_tmp", "model.google_ads_source.stg_google_ads__ad_history_tmp"], "model.google_ads_source.stg_google_ads__keyword_stats": ["model.google_ads_source.stg_google_ads__keyword_stats_tmp", "model.google_ads_source.stg_google_ads__keyword_stats_tmp"], "model.google_ads_source.stg_google_ads__ad_stats": ["model.google_ads_source.stg_google_ads__ad_stats_tmp", "model.google_ads_source.stg_google_ads__ad_stats_tmp"], "model.google_ads_source.stg_google_ads__ad_group_criterion_history": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp", "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp"], "model.google_ads_source.stg_google_ads__campaign_stats": ["model.google_ads_source.stg_google_ads__campaign_stats_tmp", "model.google_ads_source.stg_google_ads__campaign_stats_tmp"], "model.google_ads_source.stg_google_ads__campaign_history": ["model.google_ads_source.stg_google_ads__campaign_history_tmp", "model.google_ads_source.stg_google_ads__campaign_history_tmp"], "model.google_ads_source.stg_google_ads__account_history": ["model.google_ads_source.stg_google_ads__account_history_tmp", "model.google_ads_source.stg_google_ads__account_history_tmp"], "model.google_ads_source.stg_google_ads__account_stats_tmp": ["source.google_ads_source.google_ads.account_stats", "source.google_ads_source.google_ads.account_stats"], "model.google_ads_source.stg_google_ads__ad_group_history_tmp": ["source.google_ads_source.google_ads.ad_group_history", "source.google_ads_source.google_ads.ad_group_history"], "model.google_ads_source.stg_google_ads__campaign_stats_tmp": ["source.google_ads_source.google_ads.campaign_stats", "source.google_ads_source.google_ads.campaign_stats"], "model.google_ads_source.stg_google_ads__ad_stats_tmp": ["source.google_ads_source.google_ads.ad_stats", "source.google_ads_source.google_ads.ad_stats"], "model.google_ads_source.stg_google_ads__campaign_history_tmp": ["source.google_ads_source.google_ads.campaign_history", "source.google_ads_source.google_ads.campaign_history"], "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp": ["source.google_ads_source.google_ads.ad_group_criterion_history", "source.google_ads_source.google_ads.ad_group_criterion_history"], "model.google_ads_source.stg_google_ads__ad_group_stats_tmp": ["source.google_ads_source.google_ads.ad_group_stats", "source.google_ads_source.google_ads.ad_group_stats"], "model.google_ads_source.stg_google_ads__keyword_stats_tmp": ["source.google_ads_source.google_ads.keyword_stats", "source.google_ads_source.google_ads.keyword_stats"], "model.google_ads_source.stg_google_ads__ad_history_tmp": ["source.google_ads_source.google_ads.ad_history", "source.google_ads_source.google_ads.ad_history"], "model.google_ads_source.stg_google_ads__account_history_tmp": ["source.google_ads_source.google_ads.account_history", "source.google_ads_source.google_ads.account_history"], "test.google_ads.not_null_google_ads__url_report_base_url.e3578c0f72": ["model.google_ads.google_ads__url_report"], "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__url_report_source_relation__ad_id__ad_group_id__date_day.e11b928273": ["model.google_ads.google_ads__url_report"], "test.google_ads.not_null_google_ads__account_report_account_id.abb0985422": ["model.google_ads.google_ads__account_report"], "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__account_report_source_relation__account_id__date_day.8480aa9317": ["model.google_ads.google_ads__account_report"], "test.google_ads.not_null_google_ads__ad_group_report_ad_group_id.c186523c0c": ["model.google_ads.google_ads__ad_group_report"], "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_source_relation__ad_group_id__date_day.41d73a32f3": ["model.google_ads.google_ads__ad_group_report"], "test.google_ads.not_null_google_ads__ad_report_ad_id.7bd6a287ad": ["model.google_ads.google_ads__ad_report"], "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_report_source_relation__ad_id__ad_group_id__date_day.0e82f7e99a": ["model.google_ads.google_ads__ad_report"], "test.google_ads.not_null_google_ads__campaign_report_campaign_id.cc6694fa0e": ["model.google_ads.google_ads__campaign_report"], "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__campaign_report_source_relation__campaign_id__advertising_channel_type__advertising_channel_subtype__date_day.29077cbd5e": ["model.google_ads.google_ads__campaign_report"], "test.google_ads.not_null_google_ads__keyword_report_criterion_id.4cab66a055": ["model.google_ads.google_ads__keyword_report"], "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__keyword_report_source_relation__ad_group_id__criterion_id__date_day.82605f3acd": ["model.google_ads.google_ads__keyword_report"], "test.google_ads_source.not_null_stg_google_ads__account_history_account_id.5ca373f51f": ["model.google_ads_source.stg_google_ads__account_history"], "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_source_relation__account_id__updated_at.0a4d931c44": ["model.google_ads_source.stg_google_ads__account_history"], "test.google_ads_source.not_null_stg_google_ads__ad_group_history_ad_group_id.f6c7c939be": ["model.google_ads_source.stg_google_ads__ad_group_history"], "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_source_relation__ad_group_id__updated_at.94eb3f93a4": ["model.google_ads_source.stg_google_ads__ad_group_history"], 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+{"metadata": {"dbt_schema_version": "https://schemas.getdbt.com/dbt/manifest/v10.json", "dbt_version": "1.6.1", "generated_at": "2023-10-04T15:46:57.027531Z", "invocation_id": "9a4a522b-8e20-48e7-b9a6-c74e12eb69bf", "env": {}, "project_name": "develop", "project_id": "a19ea622182c63ddc19bb22cde982b82", "user_id": "e607f749-4294-4b15-833b-0ae4a87d4d24", "send_anonymous_usage_stats": true, "adapter_type": "bigquery"}, "nodes": {"model.develop.my_first_dbt_model": {"database": "dbt-package-testing", "schema": "zz_dbt_renee", "name": "my_first_dbt_model", "resource_type": "model", "package_name": "develop", "path": "example/my_first_dbt_model.sql", "original_file_path": "models/example/my_first_dbt_model.sql", "unique_id": "model.develop.my_first_dbt_model", "fqn": ["develop", "example", "my_first_dbt_model"], "alias": "my_first_dbt_model", "checksum": {"name": "sha256", "checksum": "0f0a39768ca58b1f5b1e85acbb46843e16a97d88db12e7a25d1533b2e8f77b36"}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "A starter dbt model", "columns": {"id": {"name": "id", "description": "The primary key for this table", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "develop://models/example/schema.yml", "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1696434419.5263171, "relation_name": "`dbt-package-testing`.`zz_dbt_renee`.`my_first_dbt_model`", "raw_code": "/*\n    Welcome to your first dbt model!\n    Did you know that you can also configure models directly within SQL files?\n    This will override configurations stated in dbt_project.yml\n\n    Try changing \"table\" to \"view\" below\n*/\n\n{{ config(materialized='table') }}\n\nwith source_data as (\n\n    select 1 as id\n    union all\n    select null as id\n\n)\n\nselect *\nfrom source_data\n\n/*\n    Uncomment the line below to remove records with null `id` values\n*/\n\n-- where id is not null", "language": "sql", "refs": [], "sources": [], "metrics": [], "depends_on": {"macros": [], "nodes": []}, "compiled_path": "target/compiled/develop/models/example/my_first_dbt_model.sql", "compiled": true, "compiled_code": "/*\n    Welcome to your first dbt model!\n    Did you know that you can also configure models directly within SQL files?\n    This will override configurations stated in dbt_project.yml\n\n    Try changing \"table\" to \"view\" below\n*/\n\n\n\nwith source_data as (\n\n    select 1 as id\n    union all\n    select null as id\n\n)\n\nselect *\nfrom source_data\n\n/*\n    Uncomment the line below to remove records with null `id` values\n*/\n\n-- where id is not null", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.develop.my_second_dbt_model": {"database": "dbt-package-testing", "schema": "zz_dbt_renee", "name": "my_second_dbt_model", "resource_type": "model", "package_name": "develop", "path": "example/my_second_dbt_model.sql", "original_file_path": "models/example/my_second_dbt_model.sql", "unique_id": "model.develop.my_second_dbt_model", "fqn": ["develop", "example", "my_second_dbt_model"], "alias": "my_second_dbt_model", "checksum": {"name": "sha256", "checksum": "dc8c458292bc2fb8ce4591cb70c1e23046e3c2e33fb1c2ce732658f90e231f1e"}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "A starter dbt model", "columns": {"id": {"name": "id", "description": "The primary key for this table", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "develop://models/example/schema.yml", "build_path": null, "deferred": false, "unrendered_config": {"materialized": "view"}, "created_at": 1696434419.527694, "relation_name": "`dbt-package-testing`.`zz_dbt_renee`.`my_second_dbt_model`", "raw_code": "-- Use the `ref` function to select from other models\n\nselect *\nfrom {{ ref('my_first_dbt_model') }}\nwhere id = 1", "language": "sql", "refs": [{"name": "my_first_dbt_model", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": [], "nodes": ["model.develop.my_first_dbt_model"]}, "compiled_path": "target/compiled/develop/models/example/my_second_dbt_model.sql", "compiled": true, "compiled_code": "-- Use the `ref` function to select from other models\n\nselect *\nfrom `dbt-package-testing`.`zz_dbt_renee`.`my_first_dbt_model`\nwhere id = 1", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads.google_ads__keyword_report": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads", "name": "google_ads__keyword_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__keyword_report.sql", "original_file_path": "models/google_ads__keyword_report.sql", "unique_id": "model.google_ads.google_ads__keyword_report", "fqn": ["google_ads", "google_ads__keyword_report"], "alias": "google_ads__keyword_report", "checksum": {"name": "sha256", "checksum": "c7e59c6327c1dc0b8aa30cb3fe4f98f851934bbabdb2d6b95deaa0f901834ea3"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the ad group level for keywords.", "columns": {"date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "criterion_id": {"name": "criterion_id", "description": "The unique identifier of the criterion being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of keyword ad being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The status of the keyword ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_match_type": {"name": "keyword_match_type", "description": "The match type criteria used for the keyword ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_text": {"name": "keyword_text", "description": "The specific keyword text that is used.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1696434419.599036, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__keyword_report`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('keyword_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n),\n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n), \n\ncriterions as (\n\n    select *\n    from {{ var('ad_group_criterion_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.criterion_id,\n        criterions.type,\n        criterions.status,\n        criterions.keyword_match_type,\n        criterions.keyword_text,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__keyword_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join criterions\n        on stats.criterion_id = criterions.criterion_id\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n    left join accounts\n        on stats.account_id = accounts.account_id\n    {{ dbt_utils.group_by(13) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_criterion_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__keyword_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats`\n), \n\naccounts as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    where is_most_recent_record = True\n),\n\ncampaigns as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`\n    where is_most_recent_record = True\n), \n\ncriterions as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_criterion_history`\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.criterion_id,\n        criterions.type,\n        criterions.status,\n        criterions.keyword_match_type,\n        criterions.keyword_text,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join criterions\n        on stats.criterion_id = criterions.criterion_id\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n    left join accounts\n        on stats.account_id = accounts.account_id\n    group by 1,2,3,4,5,6,7,8,9,10,11,12,13\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads.google_ads__campaign_report": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads", "name": "google_ads__campaign_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__campaign_report.sql", "original_file_path": "models/google_ads__campaign_report.sql", "unique_id": "model.google_ads.google_ads__campaign_report", "fqn": ["google_ads", "google_ads__campaign_report"], "alias": "google_ads__campaign_report", "checksum": {"name": "sha256", "checksum": "298464e46b15536c5145945ca8422cdcdb6e621eeeeb057f4dfcae93e0ba86ef"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance of a campaign at the campaign/advertising_channel/advertising_channel_subtype level.", "columns": {"date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_type": {"name": "advertising_channel_type", "description": "The channel type of the ads being served within the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_subtype": {"name": "advertising_channel_subtype", "description": "The channel subtype of the ads being served within the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The status of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1696434419.596117, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__campaign_report`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('campaign_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        campaigns.advertising_channel_type,\n        campaigns.advertising_channel_subtype,\n        campaigns.status,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__campaign_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n    {{ dbt_utils.group_by(9) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__campaign_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats`\n), \n\naccounts as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        stats.campaign_id,\n        campaigns.advertising_channel_type,\n        campaigns.advertising_channel_subtype,\n        campaigns.status,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join campaigns\n        on stats.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n    group by 1,2,3,4,5,6,7,8,9\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads.google_ads__url_report": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads", "name": "google_ads__url_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__url_report.sql", "original_file_path": "models/google_ads__url_report.sql", "unique_id": "model.google_ads.google_ads__url_report", "fqn": ["google_ads", "google_ads__url_report"], "alias": "google_ads__url_report", "checksum": {"name": "sha256", "checksum": "09633e8053ed883dd01b2b881f9940e9921dc834e1df30de0c48fc1e9583c8eb"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance of URLs at the ad level.", "columns": {"date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The unique identifier of the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_url": {"name": "base_url", "description": "The base URL of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_host": {"name": "url_host", "description": "The URL host of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_path": {"name": "url_path", "description": "The URL path of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_source": {"name": "utm_source", "description": "The utm_source parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_medium": {"name": "utm_medium", "description": "The utm_medium parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_campaign": {"name": "utm_campaign", "description": "The utm_campaign parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_content": {"name": "utm_content", "description": "The utm_content parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_term": {"name": "utm_term", "description": "The utm_term parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1696434419.5866501, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__url_report`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('ad_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from {{ var('ad_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.base_url,\n        ads.url_host,\n        ads.url_path,\n\n        {% if var('google_auto_tagging_enabled', false) %}\n\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_source') }} , 'google')  as utm_source,\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_medium') }} , 'cpc') as utm_medium,\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_campaign') }} , campaigns.campaign_name) as utm_campaign,\n        coalesce( {{ dbt_utils.get_url_parameter('ads.final_url', 'utm_content') }} , ad_groups.ad_group_name) as utm_content,\n\n        {% else %}\n\n        ads.utm_source,\n        ads.utm_medium,\n        ads.utm_campaign,\n        ads.utm_content,\n        \n        {% endif %}\n\n        ads.utm_term,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__ad_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n\n    {% if var('ad_reporting__url_report__using_null_filter', True) %}\n        where ads.source_final_urls is not null\n    {% endif %}\n\n    {{ dbt_utils.group_by(17) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__url_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats`\n), \n\naccounts as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history`\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.base_url,\n        ads.url_host,\n        ads.url_path,\n\n        \n\n        ads.utm_source,\n        ads.utm_medium,\n        ads.utm_campaign,\n        ads.utm_content,\n        \n        \n\n        ads.utm_term,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n\n    \n        where ads.source_final_urls is not null\n    \n\n    group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads.google_ads__ad_report": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads", "name": "google_ads__ad_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__ad_report.sql", "original_file_path": "models/google_ads__ad_report.sql", "unique_id": "model.google_ads.google_ads__ad_report", "fqn": ["google_ads", "google_ads__ad_report"], "alias": "google_ads__ad_report", "checksum": {"name": "sha256", "checksum": "bcec86ca9d0b42ab58092c40352e30a959dee3652e59a702953710e4210cd13c"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the ad level.", "columns": {"date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The unique identifier of the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "display_url": {"name": "display_url", "description": "The url which is displayed with the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_final_urls": {"name": "source_final_urls", "description": "The final urls that are used within the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_status": {"name": "ad_status", "description": "The status of the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_type": {"name": "ad_type", "description": "The type of the ad that is being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1696434419.59362, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__ad_report`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('ad_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from {{ var('ad_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.ad_name,\n        ads.ad_status,\n        ads.ad_type,\n        ads.display_url,\n        ads.source_final_urls,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__ad_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n    {{ dbt_utils.group_by(14) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__ad_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats`\n), \n\naccounts as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\n    where is_most_recent_record = True\n), \n\nad_groups as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`\n    where is_most_recent_record = True\n),\n\nads as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history`\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        stats.ad_id,\n        ads.ad_name,\n        ads.ad_status,\n        ads.ad_type,\n        ads.display_url,\n        ads.source_final_urls,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join ads\n        on stats.ad_id = ads.ad_id\n        and stats.ad_group_id = ads.ad_group_id\n    left join ad_groups\n        on ads.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n    group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads.google_ads__ad_group_report": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads", "name": "google_ads__ad_group_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__ad_group_report.sql", "original_file_path": "models/google_ads__ad_group_report.sql", "unique_id": "model.google_ads.google_ads__ad_group_report", "fqn": ["google_ads", "google_ads__ad_group_report"], "alias": "google_ads__ad_group_report", "checksum": {"name": "sha256", "checksum": "5e91550f7c0590b8d09d43440cb312113dadb8db285e9d10f0819114b3d8d0c2"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the ad group level.", "columns": {"date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_status": {"name": "ad_group_status", "description": "The status of the ad group.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_type": {"name": "ad_group_type", "description": "The type of ad group which is serving ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1696434419.5906749, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__ad_group_report`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('ad_group_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from {{ var('campaign_history') }}\n    where is_most_recent_record = True\n),\n\nad_groups as (\n\n    select *\n    from {{ var('ad_group_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        ad_groups.ad_group_status,\n        ad_groups.ad_group_type,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__ad_group_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n    {{ dbt_utils.group_by(10) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats", "model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__ad_group_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__ad_group_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats`\n), \n\naccounts as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    where is_most_recent_record = True\n), \n\ncampaigns as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\n    where is_most_recent_record = True\n),\n\nad_groups as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        accounts.account_id,\n        accounts.currency_code,\n        campaigns.campaign_name,\n        campaigns.campaign_id,\n        ad_groups.ad_group_name,\n        stats.ad_group_id,\n        ad_groups.ad_group_status,\n        ad_groups.ad_group_type,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join ad_groups\n        on stats.ad_group_id = ad_groups.ad_group_id\n    left join campaigns\n        on ad_groups.campaign_id = campaigns.campaign_id\n    left join accounts\n        on campaigns.account_id = accounts.account_id\n    group by 1,2,3,4,5,6,7,8,9,10\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads.google_ads__account_report": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads", "name": "google_ads__account_report", "resource_type": "model", "package_name": "google_ads", "path": "google_ads__account_report.sql", "original_file_path": "models/google_ads__account_report.sql", "unique_id": "model.google_ads.google_ads__account_report", "fqn": ["google_ads", "google_ads__account_report"], "alias": "google_ads__account_report", "checksum": {"name": "sha256", "checksum": "ec0a9ca56aad52195fe85828acd34b9844163778c9b2a4e2082f5eee5825c4be"}, "config": {"enabled": true, "alias": null, "schema": "google_ads", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record in this table represents the daily performance at the account level.", "columns": {"date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The time zone which the account is located.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency which the account uses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_tagging_enabled": {"name": "auto_tagging_enabled", "description": "Boolean indicating if the account uses auto tagging within ad urls.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads://models/google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads", "materialized": "table", "enabled": true}, "created_at": 1696434419.588532, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__account_report`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith stats as (\n\n    select *\n    from {{ var('account_stats') }}\n), \n\naccounts as (\n\n    select *\n    from {{ var('account_history') }}\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        accounts.auto_tagging_enabled,\n        accounts.time_zone,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='google_ads__account_stats_passthrough_metrics', transform = 'sum') }}\n\n    from stats\n    left join accounts\n        on stats.account_id = accounts.account_id\n    {{ dbt_utils.group_by(6) }}\n)\n\nselect *\nfrom fields", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}, {"name": "stg_google_ads__account_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.persist_pass_through_columns", "macro.dbt_utils.group_by"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats", "model.google_ads_source.stg_google_ads__account_history"]}, "compiled_path": "target/compiled/google_ads/models/google_ads__account_report.sql", "compiled": true, "compiled_code": "\n\nwith stats as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats`\n), \n\naccounts as (\n\n    select *\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    where is_most_recent_record = True\n), \n\nfields as (\n\n    select\n        stats.date_day,\n        accounts.account_name,\n        stats.account_id,\n        accounts.currency_code,\n        accounts.auto_tagging_enabled,\n        accounts.time_zone,\n        sum(stats.spend) as spend,\n        sum(stats.clicks) as clicks,\n        sum(stats.impressions) as impressions\n\n        \n\n\n\n\n\n    from stats\n    left join accounts\n        on stats.account_id = accounts.account_id\n    group by 1,2,3,4,5,6\n)\n\nselect *\nfrom fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_group_stats": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_group_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_group_stats.sql", "original_file_path": "models/stg_google_ads__ad_group_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_stats", "fqn": ["google_ads_source", "stg_google_ads__ad_group_stats"], "alias": "stg_google_ads__ad_group_stats", "checksum": {"name": "sha256", "checksum": "05efe215ff81ebd7534713f21aca4882a557dfb33cc9707791b3e03222a8892d"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of an ad group in Google Ads broken down to the ad network and device type.", "columns": {"account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.698926, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_group_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_group_stats_tmp')),\n                staging_columns=get_ad_group_stats_columns()\n            )\n        }}\n    from base\n),\n\nfinal as (\n    \n    select\n        customer_id as account_id, \n        date as date_day, \n        cast(id as {{ dbt.type_string() }}) as ad_group_id, \n        campaign_id, \n        device,\n        ad_network_type,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__ad_group_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_group_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.dbt.type_string", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_group_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats_tmp`\n),\n\nfields as (\n\n    select\n        \n    cast(null as STRING) as \n    \n    _fivetran_id\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    _fivetran_synced\n    \n , \n    cast(null as STRING) as \n    \n    ad_network_type\n    \n , \n    cast(null as INT64) as \n    \n    campaign_id\n    \n , \n    cast(null as INT64) as \n    \n    clicks\n    \n , \n    cast(null as INT64) as \n    \n    cost_micros\n    \n , \n    cast(null as INT64) as \n    \n    customer_id\n    \n , \n    cast(null as date) as \n    \n    date\n    \n , \n    cast(null as STRING) as \n    \n    device\n    \n , \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as INT64) as \n    \n    impressions\n    \n \n\n\n    from base\n),\n\nfinal as (\n    \n    select\n        customer_id as account_id, \n        date as date_day, \n        cast(id as STRING) as ad_group_id, \n        campaign_id, \n        device,\n        ad_network_type,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__account_stats": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__account_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__account_stats.sql", "original_file_path": "models/stg_google_ads__account_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_stats", "fqn": ["google_ads_source", "stg_google_ads__account_stats"], "alias": "stg_google_ads__account_stats", "checksum": {"name": "sha256", "checksum": "99d3713ac5dd38e119b8611c991e5fcca69169d92049bd36708731b4a565cc07"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of an account in Google Ads broken down to the ad network and device type.", "columns": {"account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.702709, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__account_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__account_stats_tmp')),\n                staging_columns=get_account_stats_columns()\n            )\n        }}\n    from base\n),\n\nfinal as (\n    \n    select \n        customer_id as account_id, \n        date as date_day,\n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__account_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__account_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_account_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__account_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats_tmp`\n),\n\nfields as (\n\n    select\n        \n    cast(null as STRING) as \n    \n    _fivetran_id\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    _fivetran_synced\n    \n , \n    cast(null as STRING) as \n    \n    ad_network_type\n    \n , \n    cast(null as INT64) as \n    \n    clicks\n    \n , \n    cast(null as INT64) as \n    \n    cost_micros\n    \n , \n    cast(null as INT64) as \n    \n    customer_id\n    \n , \n    cast(null as date) as \n    \n    date\n    \n , \n    cast(null as STRING) as \n    \n    device\n    \n , \n    cast(null as INT64) as \n    \n    impressions\n    \n \n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        customer_id as account_id, \n        date as date_day,\n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_group_history": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_group_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_group_history.sql", "original_file_path": "models/stg_google_ads__ad_group_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_history", "fqn": ["google_ads_source", "stg_google_ads__ad_group_history"], "alias": "stg_google_ads__ad_group_history", "checksum": {"name": "sha256", "checksum": "8bc00cb9f519ee62360f10e16d337b6a59db9373c811f22712430dee54fd47f6"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of an ad group in Google Ads.", "columns": {"ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_type": {"name": "ad_group_type", "description": "The type of the ad group in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_name": {"name": "ad_group_name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_status": {"name": "ad_group_status", "description": "Status of the ad group.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.689095, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_group_history_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_group_history_tmp')),\n                staging_columns=get_ad_group_history_columns()\n            )\n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        cast(id as {{ dbt.type_string() }}) as ad_group_id,\n        updated_at,\n        type as ad_group_type, \n        campaign_id, \n        campaign_name, \n        name as ad_group_name, \n        status as ad_group_status,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_group_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.dbt.type_string"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_group_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history_tmp`\n\n),\n\nfields as (\n\n    select\n        \n    cast(null as INT64) as \n    \n    campaign_id\n    \n , \n    cast(null as STRING) as \n    \n    campaign_name\n    \n , \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as STRING) as \n    \n    name\n    \n , \n    cast(null as STRING) as \n    \n    status\n    \n , \n    cast(null as STRING) as \n    \n    type\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    updated_at\n    \n , \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        cast(id as STRING) as ad_group_id,\n        updated_at,\n        type as ad_group_type, \n        campaign_id, \n        campaign_name, \n        name as ad_group_name, \n        status as ad_group_status,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_history": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_history.sql", "original_file_path": "models/stg_google_ads__ad_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_history", "fqn": ["google_ads_source", "stg_google_ads__ad_history"], "alias": "stg_google_ads__ad_history", "checksum": {"name": "sha256", "checksum": "44bd1886053f23ea92268ac9423b467701a9573cc7c0d3fd2b659ac72c38abb0"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of an ad in Google Ads.", "columns": {"ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "display_url": {"name": "display_url", "description": "The display url of the ad that is being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_type": {"name": "ad_type", "description": "The type of the ad in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_status": {"name": "ad_status", "description": "Status of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_final_urls": {"name": "source_final_urls", "description": "The original list of final urls expressed as an array. Please be aware the test used on this field is intended to warn you if you have fields with multiple urls. If you do, the `final_url` field will filter down the urls within the array to just the first. Therefore, this package will only leverage one of possibly many urls within this field array.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "final_url": {"name": "final_url", "description": "The first url in the list of the urls within the `final_urls` source field.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_url": {"name": "base_url", "description": "The base URL of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_host": {"name": "url_host", "description": "The URL host of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "url_path": {"name": "url_path", "description": "The URL path of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_source": {"name": "utm_source", "description": "The utm_source parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_medium": {"name": "utm_medium", "description": "The utm_medium parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_campaign": {"name": "utm_campaign", "description": "The utm_campaign parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_content": {"name": "utm_content", "description": "The utm_content parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "utm_term": {"name": "utm_term", "description": "The utm_term parameter of the ad, extracted from the `final_urls`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.6909282, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_history_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_history_tmp')),\n                staging_columns=get_ad_history_columns()\n            )\n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        cast(ad_group_id as {{ dbt.type_string() }}) as ad_group_id, \n        id as ad_id,\n        name as ad_name,\n        updated_at,\n        type as ad_type,\n        status as ad_status,\n        display_url,\n        final_urls as source_final_urls,\n        replace(replace(final_urls, '[', ''),']','') as final_urls,\n        row_number() over (partition by id, ad_group_id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n),\n\nfinal_urls as (\n\n    select \n        *,\n        --Extract the first url within the list of urls provided within the final_urls field\n        {{ dbt.split_part(string_text='final_urls', delimiter_text=\"','\", part_number=1) }} as final_url\n\n    from final\n\n),\n\nurl_fields as (\n    select \n        *,\n        {{ dbt.split_part('final_url', \"'?'\", 1) }} as base_url,\n        {{ dbt_utils.get_url_host('final_url') }} as url_host,\n        '/' || {{ dbt_utils.get_url_path('final_url') }} as url_path,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_source') }} as utm_source,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_medium') }} as utm_medium,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_campaign') }} as utm_campaign,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_content') }} as utm_content,\n        {{ dbt_utils.get_url_parameter('final_url', 'utm_term') }} as utm_term\n    from final_urls\n)\n\nselect * \nfrom url_fields", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.dbt.type_string", "macro.dbt.split_part", "macro.dbt_utils.get_url_host", "macro.dbt_utils.get_url_path", "macro.dbt_utils.get_url_parameter"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history_tmp`\n),\n\nfields as (\n\n    select\n        \n    cast(null as INT64) as \n    \n    ad_group_id\n    \n , \n    cast(null as STRING) as \n    \n    display_url\n    \n , \n    cast(null as STRING) as \n    \n    final_urls\n    \n , \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as STRING) as \n    \n    name\n    \n , \n    cast(null as STRING) as \n    \n    status\n    \n , \n    cast(null as STRING) as \n    \n    type\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    updated_at\n    \n , \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        cast(ad_group_id as STRING) as ad_group_id, \n        id as ad_id,\n        name as ad_name,\n        updated_at,\n        type as ad_type,\n        status as ad_status,\n        display_url,\n        final_urls as source_final_urls,\n        replace(replace(final_urls, '[', ''),']','') as final_urls,\n        row_number() over (partition by id, ad_group_id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n),\n\nfinal_urls as (\n\n    select \n        *,\n        --Extract the first url within the list of urls provided within the final_urls field\n        \n\n  \n    split(\n        final_urls,\n        ','\n        )[safe_offset(0)]\n  \n\n as final_url\n\n    from final\n\n),\n\nurl_fields as (\n    select \n        *,\n        \n\n  \n    split(\n        final_url,\n        '?'\n        )[safe_offset(0)]\n  \n\n as base_url,\n        \n    safe_cast(\n\n  \n    split(\n        \n\n  \n    split(\n        \n\n    replace(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'android-app://',\n        ''\n    )\n\n\n,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        '/'\n        )[safe_offset(0)]\n  \n\n,\n        '?'\n        )[safe_offset(0)]\n  \n\n as STRING)\n as url_host,\n        '/' || \n    safe_cast(\n\n  \n    split(\n        \n\n    case when \n\n    length(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n\n    )-coalesce(\n            nullif(\n\n    strpos(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        '/'\n\n    ), 0),\n            \n\n    strpos(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        '?'\n\n    ) - 1\n            ) = 0\n        then ''\n    else\n        substr(\n            \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n            -1 * (\n\n    length(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n\n    )-coalesce(\n            nullif(\n\n    strpos(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        '/'\n\n    ), 0),\n            \n\n    strpos(\n        \n\n    replace(\n        \n\n    replace(\n        final_url,\n        'http://',\n        ''\n    )\n\n\n,\n        'https://',\n        ''\n    )\n\n\n,\n        '?'\n\n    ) - 1\n            ))\n        )\n    end,\n        '?'\n        )[safe_offset(0)]\n  \n\n as STRING)\n as url_path,\n        nullif(\n\n  \n    split(\n        \n\n  \n    split(\n        final_url,\n        'utm_source='\n        )[safe_offset(1)]\n  \n\n,\n        '&'\n        )[safe_offset(0)]\n  \n\n,'') as utm_source,\n        nullif(\n\n  \n    split(\n        \n\n  \n    split(\n        final_url,\n        'utm_medium='\n        )[safe_offset(1)]\n  \n\n,\n        '&'\n        )[safe_offset(0)]\n  \n\n,'') as utm_medium,\n        nullif(\n\n  \n    split(\n        \n\n  \n    split(\n        final_url,\n        'utm_campaign='\n        )[safe_offset(1)]\n  \n\n,\n        '&'\n        )[safe_offset(0)]\n  \n\n,'') as utm_campaign,\n        nullif(\n\n  \n    split(\n        \n\n  \n    split(\n        final_url,\n        'utm_content='\n        )[safe_offset(1)]\n  \n\n,\n        '&'\n        )[safe_offset(0)]\n  \n\n,'') as utm_content,\n        nullif(\n\n  \n    split(\n        \n\n  \n    split(\n        final_url,\n        'utm_term='\n        )[safe_offset(1)]\n  \n\n,\n        '&'\n        )[safe_offset(0)]\n  \n\n,'') as utm_term\n    from final_urls\n)\n\nselect * \nfrom url_fields", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__keyword_stats": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__keyword_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__keyword_stats.sql", "original_file_path": "models/stg_google_ads__keyword_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__keyword_stats", "fqn": ["google_ads_source", "stg_google_ads__keyword_stats"], "alias": "stg_google_ads__keyword_stats", "checksum": {"name": "sha256", "checksum": "e5e4eee190390813d13b836bb81f5870db77bf86365fabe323b13ebcee5e53b4"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of a keyword in Google Ads.", "columns": {"account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_id": {"name": "keyword_id", "description": "The unique ID of the keyword record.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "criterion_id": {"name": "criterion_id", "description": "Reference to the ad group criterion used for the keyword.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.701625, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__keyword_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__keyword_stats_tmp')),\n                staging_columns=get_keyword_stats_columns()\n            )\n        }}\n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id as keyword_id,\n        customer_id as account_id, \n        date as date_day, \n        cast(ad_group_id as {{ dbt.type_string() }}) as ad_group_id,\n        ad_group_criterion_criterion_id as criterion_id,\n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__keyword_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__keyword_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_keyword_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.dbt.type_string", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__keyword_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats_tmp`\n),\n\nfields as (\n\n    select\n        \n    cast(null as STRING) as \n    \n    _fivetran_id\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    _fivetran_synced\n    \n , \n    cast(null as INT64) as \n    \n    ad_group_criterion_criterion_id\n    \n , \n    cast(null as INT64) as \n    \n    ad_group_id\n    \n , \n    cast(null as STRING) as \n    \n    ad_network_type\n    \n , \n    cast(null as INT64) as \n    \n    campaign_id\n    \n , \n    cast(null as INT64) as \n    \n    clicks\n    \n , \n    cast(null as INT64) as \n    \n    cost_micros\n    \n , \n    cast(null as INT64) as \n    \n    customer_id\n    \n , \n    cast(null as date) as \n    \n    date\n    \n , \n    cast(null as STRING) as \n    \n    device\n    \n , \n    cast(null as INT64) as \n    \n    impressions\n    \n \n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id as keyword_id,\n        customer_id as account_id, \n        date as date_day, \n        cast(ad_group_id as STRING) as ad_group_id,\n        ad_group_criterion_criterion_id as criterion_id,\n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_stats": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_stats.sql", "original_file_path": "models/stg_google_ads__ad_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_stats", "fqn": ["google_ads_source", "stg_google_ads__ad_stats"], "alias": "stg_google_ads__ad_stats", "checksum": {"name": "sha256", "checksum": "6203d7dba026a2cb32b81a56e93abaed454afdc1ef64a33bab2f0ca86930d5f0"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of an ad in Google Ads broken down to the ad network, device type, and ad_group_id.", "columns": {"account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_ad_group_criterion": {"name": "keyword_ad_group_criterion", "description": "The ad group which the keyword criterion resides.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.69338, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_stats_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_stats_tmp')),\n                staging_columns=get_ad_stats_columns()\n            )\n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        customer_id as account_id, \n        date as date_day, \n        {% if target.type in ('spark','databricks') %}\n        coalesce(cast(ad_group_id as {{ dbt.type_string() }}), split(ad_group,'adGroups/')[1]) as ad_group_id,\n        {% else %}\n        coalesce(cast(ad_group_id as {{ dbt.type_string() }}), {{ dbt.split_part(string_text='ad_group', delimiter_text=\"'adGroups/'\", part_number=2) }}) as ad_group_id,\n        {% endif %}\n        keyword_ad_group_criterion,\n        ad_network_type,\n        device,\n        ad_id, \n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__ad_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect * from final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.dbt.type_string", "macro.dbt.split_part", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats_tmp`\n\n),\n\nfields as (\n\n    select\n        \n    cast(null as STRING) as \n    \n    ad_group\n    \n , \n    cast(null as STRING) as \n    \n    ad_group_id\n    \n , \n    cast(null as INT64) as \n    \n    ad_id\n    \n , \n    cast(null as STRING) as \n    \n    ad_network_type\n    \n , \n    cast(null as INT64) as \n    \n    campaign_id\n    \n , \n    cast(null as INT64) as \n    \n    clicks\n    \n , \n    cast(null as INT64) as \n    \n    cost_micros\n    \n , \n    cast(null as INT64) as \n    \n    customer_id\n    \n , \n    cast(null as date) as \n    \n    date\n    \n , \n    cast(null as STRING) as \n    \n    device\n    \n , \n    cast(null as INT64) as \n    \n    impressions\n    \n , \n    cast(null as STRING) as \n    \n    keyword_ad_group_criterion\n    \n \n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        customer_id as account_id, \n        date as date_day, \n        \n        coalesce(cast(ad_group_id as STRING), \n\n  \n    split(\n        ad_group,\n        'adGroups/'\n        )[safe_offset(1)]\n  \n\n) as ad_group_id,\n        \n        keyword_ad_group_criterion,\n        ad_network_type,\n        device,\n        ad_id, \n        campaign_id, \n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect * from final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_group_criterion_history": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_group_criterion_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__ad_group_criterion_history.sql", "original_file_path": "models/stg_google_ads__ad_group_criterion_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_criterion_history", "fqn": ["google_ads_source", "stg_google_ads__ad_group_criterion_history"], "alias": "stg_google_ads__ad_group_criterion_history", "checksum": {"name": "sha256", "checksum": "8a8f4bd2e8a0f834689dad4119b4fe0bf033ab57c4b744cf485b7315511839cf"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a historical version of an ad group criterion in Google Ads.", "columns": {"criterion_id": {"name": "criterion_id", "description": "Unique identifier of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_campaign_id": {"name": "base_campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The current status of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_match_type": {"name": "keyword_match_type", "description": "The match type which dictate how closely the keyword needs to match with the user\u2019s search query so that the ad can be considered for the auction.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_text": {"name": "keyword_text", "description": "The text used within the keyword criterion that is being matched against.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.697797, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_criterion_history`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__ad_group_criterion_history_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__ad_group_criterion_history_tmp')),\n                staging_columns=get_ad_group_criterion_history_columns()\n            )\n        }}\n    from base\n),\n\nfinal as (\n    \n    select \n        id as criterion_id,\n        cast(ad_group_id as {{ dbt.type_string() }}) as ad_group_id,\n        base_campaign_id,\n        updated_at,\n        type,\n        status,\n        keyword_match_type,\n        keyword_text,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_criterion_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__ad_group_criterion_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_ad_group_criterion_history_columns", "macro.fivetran_utils.fill_staging_columns", "macro.dbt.type_string"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__ad_group_criterion_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_criterion_history_tmp`\n),\n\nfields as (\n\n    select\n        \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as INT64) as \n    \n    ad_group_id\n    \n , \n    cast(null as INT64) as \n    \n    base_campaign_id\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    _fivetran_synced\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    updated_at\n    \n , \n    cast(null as STRING) as \n    \n    type\n    \n , \n    cast(null as STRING) as \n    \n    status\n    \n , \n    cast(null as STRING) as \n    \n    keyword_match_type\n    \n , \n    cast(null as STRING) as \n    \n    keyword_text\n    \n , \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        id as criterion_id,\n        cast(ad_group_id as STRING) as ad_group_id,\n        base_campaign_id,\n        updated_at,\n        type,\n        status,\n        keyword_match_type,\n        keyword_text,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__campaign_stats": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__campaign_stats", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__campaign_stats.sql", "original_file_path": "models/stg_google_ads__campaign_stats.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_stats", "fqn": ["google_ads_source", "stg_google_ads__campaign_stats"], "alias": "stg_google_ads__campaign_stats", "checksum": {"name": "sha256", "checksum": "c2887c2dc2deefddcc5f93c2b6e4cc0b8c087ddd8f19d1a514034fd8dca1aeee"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents the daily performance of a campaign in Google Ads broken down to the ad network and device type.", "columns": {"account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "spend": {"name": "spend", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.700118, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__campaign_stats_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__campaign_stats_tmp')),\n                staging_columns=get_campaign_stats_columns()\n            )\n        }}\n    from base\n),\n\nfinal as (\n    \n    select \n        customer_id as account_id, \n        date as date_day, \n        id as campaign_id, \n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        {{ fivetran_utils.fill_pass_through_columns('google_ads__campaign_stats_passthrough_metrics') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats_tmp", "package": null, "version": null}, {"name": "stg_google_ads__campaign_stats_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_campaign_stats_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__campaign_stats.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats_tmp`\n),\n\nfields as (\n\n    select\n        \n    cast(null as STRING) as \n    \n    _fivetran_id\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    _fivetran_synced\n    \n , \n    cast(null as STRING) as \n    \n    ad_network_type\n    \n , \n    cast(null as INT64) as \n    \n    clicks\n    \n , \n    cast(null as INT64) as \n    \n    cost_micros\n    \n , \n    cast(null as INT64) as \n    \n    customer_id\n    \n , \n    cast(null as date) as \n    \n    date\n    \n , \n    cast(null as STRING) as \n    \n    device\n    \n , \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as INT64) as \n    \n    impressions\n    \n \n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        customer_id as account_id, \n        date as date_day, \n        id as campaign_id, \n        ad_network_type,\n        device,\n        clicks, \n        cost_micros / 1000000.0 as spend, \n        impressions\n        \n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__campaign_history": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__campaign_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__campaign_history.sql", "original_file_path": "models/stg_google_ads__campaign_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_history", "fqn": ["google_ads_source", "stg_google_ads__campaign_history"], "alias": "stg_google_ads__campaign_history", "checksum": {"name": "sha256", "checksum": "4b7cd3db355ab3c8e3b90b68ed7d42e4bac08c3d36f205ed6db259e954bceb96"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of a campaign in Google Ads.", "columns": {"campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_type": {"name": "advertising_channel_type", "description": "The type of advertising channel being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_subtype": {"name": "advertising_channel_subtype", "description": "The advertising channel subtype that is being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "start_date": {"name": "start_date", "description": "The start date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "end_date": {"name": "end_date", "description": "The end date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "serving_status": {"name": "serving_status", "description": "Status of the ads and how they are currently being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "General status of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "tracking_url_template": {"name": "tracking_url_template", "description": "The tracking url template being used throughout the campaign ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_id": {"name": "account_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.696324, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__campaign_history_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__campaign_history_tmp')),\n                staging_columns=get_campaign_history_columns()\n            )\n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as campaign_id, \n        updated_at,\n        name as campaign_name,\n        customer_id as account_id,\n        advertising_channel_type,\n        advertising_channel_subtype,\n        start_date,\n        end_date,\n        serving_status,\n        status,\n        tracking_url_template,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__campaign_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_campaign_history_columns", "macro.fivetran_utils.fill_staging_columns"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__campaign_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history_tmp`\n\n),\n\nfields as (\n\n    select\n        \n    cast(null as STRING) as \n    \n    advertising_channel_subtype\n    \n , \n    cast(null as STRING) as \n    \n    advertising_channel_type\n    \n , \n    cast(null as INT64) as \n    \n    customer_id\n    \n , \n    cast(null as STRING) as \n    \n    end_date\n    \n , \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as STRING) as \n    \n    name\n    \n , \n    cast(null as STRING) as \n    \n    serving_status\n    \n , \n    cast(null as STRING) as \n    \n    start_date\n    \n , \n    cast(null as STRING) as \n    \n    status\n    \n , \n    cast(null as STRING) as \n    \n    tracking_url_template\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    updated_at\n    \n , \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as campaign_id, \n        updated_at,\n        name as campaign_name,\n        customer_id as account_id,\n        advertising_channel_type,\n        advertising_channel_subtype,\n        start_date,\n        end_date,\n        serving_status,\n        status,\n        tracking_url_template,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__account_history": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__account_history", "resource_type": "model", "package_name": "google_ads_source", "path": "stg_google_ads__account_history.sql", "original_file_path": "models/stg_google_ads__account_history.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_history", "fqn": ["google_ads_source", "stg_google_ads__account_history"], "alias": "stg_google_ads__account_history", "checksum": {"name": "sha256", "checksum": "91873dace054f8406261fa54442706cda8e96533f581d800c490853424ff62fb"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "Each record represents a version of an account in Google Ads.", "columns": {"account_id": {"name": "account_id", "description": "The ID of the Account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency of the spend reported.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_tagging_enabled": {"name": "auto_tagging_enabled", "description": "Boolean indicating if auto tagging is enabled on the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The time zone of the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_name": {"name": "account_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when a record was last synced.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_most_recent_record": {"name": "is_most_recent_record", "description": "Boolean representing whether the record is the most recent version of the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "google_ads_source://models/stg_google_ads.yml", "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "table", "enabled": true}, "created_at": 1696434419.687888, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_google_ads__account_history_tmp') }}\n\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_google_ads__account_history_tmp')),\n                staging_columns=get_account_history_columns()\n            )\n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as account_id,\n        updated_at,\n        currency_code,\n        auto_tagging_enabled,\n        time_zone,\n        descriptive_name as account_name,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "stg_google_ads__account_history_tmp", "package": null, "version": null}, {"name": "stg_google_ads__account_history_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.google_ads_source.get_account_history_columns", "macro.fivetran_utils.fill_staging_columns"], "nodes": ["model.google_ads_source.stg_google_ads__account_history_tmp"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads__account_history.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history_tmp`\n\n),\n\nfields as (\n\n    select\n        \n    cast(null as TIMESTAMP) as \n    \n    _fivetran_synced\n    \n , \n    cast(null as boolean) as \n    \n    auto_tagging_enabled\n    \n , \n    cast(null as STRING) as \n    \n    currency_code\n    \n , \n    cast(null as STRING) as \n    \n    descriptive_name\n    \n , \n    cast(null as INT64) as \n    \n    id\n    \n , \n    cast(null as STRING) as \n    \n    time_zone\n    \n , \n    cast(null as TIMESTAMP) as \n    \n    updated_at\n    \n , \n    cast(null as boolean) as \n    \n    _fivetran_active\n    \n \n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as account_id,\n        updated_at,\n        currency_code,\n        auto_tagging_enabled,\n        time_zone,\n        descriptive_name as account_name,\n        row_number() over (partition by id order by updated_at desc) = 1 as is_most_recent_record\n    from fields\n    where coalesce(_fivetran_active, true)\n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__account_stats_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__account_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__account_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__account_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__account_stats_tmp"], "alias": "stg_google_ads__account_stats_tmp", "checksum": {"name": "sha256", "checksum": "55f94fa3f803a8d70cb38e8a1ba4944fb3e393911b78961a71b14ef537372a57"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.2985752, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('account_stats') }}", "language": "sql", "refs": [], "sources": [["google_ads", "account_stats"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__account_stats_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`account_stats`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_group_history_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_group_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_group_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_group_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_group_history_tmp"], "alias": "stg_google_ads__ad_group_history_tmp", "checksum": {"name": "sha256", "checksum": "d075b262684e8b54d9de419f3a98b101ec33650ad92b85b2cf2ab1e3edfa158e"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.307144, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('ad_group_history') }}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_group_history"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.ad_group_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_group_history_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`ad_group_history`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__campaign_stats_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__campaign_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__campaign_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__campaign_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__campaign_stats_tmp"], "alias": "stg_google_ads__campaign_stats_tmp", "checksum": {"name": "sha256", "checksum": "8d8be8c945b8b108eba5f8bf2611328263a543a867b5211da1b0999bc9e45442"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.315835, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('campaign_stats') }}", "language": "sql", "refs": [], "sources": [["google_ads", "campaign_stats"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__campaign_stats_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`campaign_stats`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_stats_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_stats_tmp"], "alias": "stg_google_ads__ad_stats_tmp", "checksum": {"name": "sha256", "checksum": "b9971b2bbe8e8a25431f89c7a3c30ede18588af1bd7cacc031bb80cd67e0969a"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.325558, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('ad_stats') }}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_stats"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_stats_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`ad_stats`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__campaign_history_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__campaign_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__campaign_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__campaign_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__campaign_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__campaign_history_tmp"], "alias": "stg_google_ads__campaign_history_tmp", "checksum": {"name": "sha256", "checksum": "03a5a430690dec971015f8dd0d98b2c551a717e51048a1f36734b6b8d998e85d"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.3349912, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('campaign_history') }}", "language": "sql", "refs": [], "sources": [["google_ads", "campaign_history"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.campaign_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__campaign_history_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`campaign_history`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_group_criterion_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_group_criterion_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_group_criterion_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_group_criterion_history_tmp"], "alias": "stg_google_ads__ad_group_criterion_history_tmp", "checksum": {"name": "sha256", "checksum": "a18e68443dd2e445e86e3a9a04d60bf314de7cc2247fd63c67a66053bbb3cea5"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.343083, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_criterion_history_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('ad_group_criterion_history') }}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_group_criterion_history"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_group_criterion_history_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`ad_group_criterion_history`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_group_stats_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_group_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_group_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_group_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_group_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_group_stats_tmp"], "alias": "stg_google_ads__ad_group_stats_tmp", "checksum": {"name": "sha256", "checksum": "7e7423ae16d3a9fe3265de2aad0e0b0a24d1fe7f8c6c4019c64f0811721c19cd"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.352261, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('ad_group_stats') }}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_group_stats"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_group_stats_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`ad_group_stats`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__keyword_stats_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__keyword_stats_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__keyword_stats_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__keyword_stats_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__keyword_stats_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__keyword_stats_tmp"], "alias": "stg_google_ads__keyword_stats_tmp", "checksum": {"name": "sha256", "checksum": "79038223bf93c71fa43f84cd5a5a445ceb434c84821ed08adb154ee098f0510d"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.362336, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('keyword_stats') }}", "language": "sql", "refs": [], "sources": [["google_ads", "keyword_stats"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__keyword_stats_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`keyword_stats`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__ad_history_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__ad_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__ad_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__ad_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__ad_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__ad_history_tmp"], "alias": "stg_google_ads__ad_history_tmp", "checksum": {"name": "sha256", "checksum": "88c06f882d0f842098135b8970ac413089cf28bf91aea542f3b873fc27e2ef0d"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.371829, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('ad_history') }}", "language": "sql", "refs": [], "sources": [["google_ads", "ad_history"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__ad_history_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`ad_history`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.google_ads_source.stg_google_ads__account_history_tmp": {"database": "dbt-package-testing", "schema": "zz_dbt_renee_google_ads_source", "name": "stg_google_ads__account_history_tmp", "resource_type": "model", "package_name": "google_ads_source", "path": "tmp/stg_google_ads__account_history_tmp.sql", "original_file_path": "models/tmp/stg_google_ads__account_history_tmp.sql", "unique_id": "model.google_ads_source.stg_google_ads__account_history_tmp", "fqn": ["google_ads_source", "tmp", "stg_google_ads__account_history_tmp"], "alias": "stg_google_ads__account_history_tmp", "checksum": {"name": "sha256", "checksum": "c30a297b38fdebe8b1396a3e15d9f550eee61bc76a6c12194302b4757e1080e4"}, "config": {"enabled": true, "alias": null, "schema": "google_ads_source", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"schema": "google_ads_source", "materialized": "view", "enabled": true}, "created_at": 1696434419.381579, "relation_name": "`dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history_tmp`", "raw_code": "{{ config(enabled=var('ad_reporting__google_ads_enabled', True)) }}\n\nselect * \nfrom {{ var('account_history') }}", "language": "sql", "refs": [], "sources": [["google_ads", "account_history"]], "metrics": [], "depends_on": {"macros": [], "nodes": ["source.google_ads_source.google_ads.account_history"]}, "compiled_path": "target/compiled/google_ads_source/models/tmp/stg_google_ads__account_history_tmp.sql", "compiled": true, "compiled_code": "\n\nselect * \nfrom `dbt-package-testing`.`google_ads_4`.`account_history`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "test.develop.unique_my_first_dbt_model_id.16e066b321": {"test_metadata": {"name": "unique", "kwargs": {"column_name": "id", "model": "{{ get_where_subquery(ref('my_first_dbt_model')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "unique_my_first_dbt_model_id", "resource_type": "test", "package_name": "develop", "path": "unique_my_first_dbt_model_id.sql", "original_file_path": "models/example/schema.yml", "unique_id": "test.develop.unique_my_first_dbt_model_id.16e066b321", "fqn": ["develop", "example", "unique_my_first_dbt_model_id"], "alias": "unique_my_first_dbt_model_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.5438678, "relation_name": null, "raw_code": "{{ test_unique(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "my_first_dbt_model", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_unique", "macro.dbt.get_where_subquery"], "nodes": ["model.develop.my_first_dbt_model"]}, "compiled_path": "target/compiled/develop/models/example/schema.yml/unique_my_first_dbt_model_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\nwith dbt_test__target as (\n\n  select id as unique_field\n  from `dbt-package-testing`.`zz_dbt_renee`.`my_first_dbt_model`\n  where id is not null\n\n)\n\nselect\n    unique_field,\n    count(*) as n_records\n\nfrom dbt_test__target\ngroup by unique_field\nhaving count(*) > 1\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "id", "file_key_name": "models.my_first_dbt_model", "attached_node": "model.develop.my_first_dbt_model"}, "test.develop.not_null_my_first_dbt_model_id.5fb22c2710": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "id", "model": "{{ get_where_subquery(ref('my_first_dbt_model')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_my_first_dbt_model_id", "resource_type": "test", "package_name": "develop", "path": "not_null_my_first_dbt_model_id.sql", "original_file_path": "models/example/schema.yml", "unique_id": "test.develop.not_null_my_first_dbt_model_id.5fb22c2710", "fqn": ["develop", "example", "not_null_my_first_dbt_model_id"], "alias": "not_null_my_first_dbt_model_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.547531, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "my_first_dbt_model", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.develop.my_first_dbt_model"]}, "compiled_path": "target/compiled/develop/models/example/schema.yml/not_null_my_first_dbt_model_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect id\nfrom `dbt-package-testing`.`zz_dbt_renee`.`my_first_dbt_model`\nwhere id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "id", "file_key_name": "models.my_first_dbt_model", "attached_node": "model.develop.my_first_dbt_model"}, "test.develop.unique_my_second_dbt_model_id.57a0f8c493": {"test_metadata": {"name": "unique", "kwargs": {"column_name": "id", "model": "{{ get_where_subquery(ref('my_second_dbt_model')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "unique_my_second_dbt_model_id", "resource_type": "test", "package_name": "develop", "path": "unique_my_second_dbt_model_id.sql", "original_file_path": "models/example/schema.yml", "unique_id": "test.develop.unique_my_second_dbt_model_id.57a0f8c493", "fqn": ["develop", "example", "unique_my_second_dbt_model_id"], "alias": "unique_my_second_dbt_model_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.551219, "relation_name": null, "raw_code": "{{ test_unique(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "my_second_dbt_model", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_unique", "macro.dbt.get_where_subquery"], "nodes": ["model.develop.my_second_dbt_model"]}, "compiled_path": "target/compiled/develop/models/example/schema.yml/unique_my_second_dbt_model_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\nwith dbt_test__target as (\n\n  select id as unique_field\n  from `dbt-package-testing`.`zz_dbt_renee`.`my_second_dbt_model`\n  where id is not null\n\n)\n\nselect\n    unique_field,\n    count(*) as n_records\n\nfrom dbt_test__target\ngroup by unique_field\nhaving count(*) > 1\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "id", "file_key_name": "models.my_second_dbt_model", "attached_node": "model.develop.my_second_dbt_model"}, "test.develop.not_null_my_second_dbt_model_id.151b76d778": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "id", "model": "{{ get_where_subquery(ref('my_second_dbt_model')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_my_second_dbt_model_id", "resource_type": "test", "package_name": "develop", "path": "not_null_my_second_dbt_model_id.sql", "original_file_path": "models/example/schema.yml", "unique_id": "test.develop.not_null_my_second_dbt_model_id.151b76d778", "fqn": ["develop", "example", "not_null_my_second_dbt_model_id"], "alias": "not_null_my_second_dbt_model_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.554271, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "my_second_dbt_model", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.develop.my_second_dbt_model"]}, "compiled_path": "target/compiled/develop/models/example/schema.yml/not_null_my_second_dbt_model_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect id\nfrom `dbt-package-testing`.`zz_dbt_renee`.`my_second_dbt_model`\nwhere id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "id", "file_key_name": "models.my_second_dbt_model", "attached_node": "model.develop.my_second_dbt_model"}, "test.google_ads.not_null_google_ads__url_report_base_url.e3578c0f72": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "base_url", "model": "{{ get_where_subquery(ref('google_ads__url_report')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_google_ads__url_report_base_url", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__url_report_base_url.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__url_report_base_url.e3578c0f72", "fqn": ["google_ads", "not_null_google_ads__url_report_base_url"], "alias": "not_null_google_ads__url_report_base_url", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"enabled": true}, "created_at": 1696434419.600885, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(enabled=True) }}", "language": "sql", "refs": [{"name": "google_ads__url_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__url_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__url_report_base_url.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect base_url\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__url_report`\nwhere base_url is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "base_url", "file_key_name": "models.google_ads__url_report", "attached_node": "model.google_ads.google_ads__url_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__url_report_ad_id__ad_group_id__date_day.a59b8e007f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_id", "ad_group_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__url_report')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__url_report_ad_id__ad_group_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_bea7bc66213b1115e2bf15aef06eda4b.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__url_report_ad_id__ad_group_id__date_day.a59b8e007f", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__url_report_ad_id__ad_group_id__date_day"], "alias": "dbt_utils_unique_combination_o_bea7bc66213b1115e2bf15aef06eda4b", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_bea7bc66213b1115e2bf15aef06eda4b", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_bea7bc66213b1115e2bf15aef06eda4b"}, "created_at": 1696434419.605029, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(enabled=True,alias=\"dbt_utils_unique_combination_o_bea7bc66213b1115e2bf15aef06eda4b\") }}", "language": "sql", "refs": [{"name": "google_ads__url_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__url_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_bea7bc66213b1115e2bf15aef06eda4b.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_id, ad_group_id, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__url_report`\n    group by ad_id, ad_group_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__url_report", "attached_node": "model.google_ads.google_ads__url_report"}, "test.google_ads.not_null_google_ads__account_report_account_id.abb0985422": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "account_id", "model": "{{ get_where_subquery(ref('google_ads__account_report')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_google_ads__account_report_account_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__account_report_account_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__account_report_account_id.abb0985422", "fqn": ["google_ads", "not_null_google_ads__account_report_account_id"], "alias": "not_null_google_ads__account_report_account_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.622207, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__account_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__account_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__account_report_account_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect account_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__account_report`\nwhere account_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "account_id", "file_key_name": "models.google_ads__account_report", "attached_node": "model.google_ads.google_ads__account_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__account_report_account_id__date_day.c52089771e": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["account_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__account_report')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__account_report_account_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_b50e4c9123068ddc911854925927d1f9.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__account_report_account_id__date_day.c52089771e", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__account_report_account_id__date_day"], "alias": "dbt_utils_unique_combination_o_b50e4c9123068ddc911854925927d1f9", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_b50e4c9123068ddc911854925927d1f9", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_b50e4c9123068ddc911854925927d1f9"}, "created_at": 1696434419.624745, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_b50e4c9123068ddc911854925927d1f9\") }}", "language": "sql", "refs": [{"name": "google_ads__account_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__account_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_b50e4c9123068ddc911854925927d1f9.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        account_id, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__account_report`\n    group by account_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__account_report", "attached_node": "model.google_ads.google_ads__account_report"}, "test.google_ads.not_null_google_ads__ad_group_report_ad_group_id.c186523c0c": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_group_id", "model": "{{ get_where_subquery(ref('google_ads__ad_group_report')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_google_ads__ad_group_report_ad_group_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__ad_group_report_ad_group_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__ad_group_report_ad_group_id.c186523c0c", "fqn": ["google_ads", "not_null_google_ads__ad_group_report_ad_group_id"], "alias": "not_null_google_ads__ad_group_report_ad_group_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.6307719, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__ad_group_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_group_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__ad_group_report_ad_group_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_group_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__ad_group_report`\nwhere ad_group_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_group_id", "file_key_name": "models.google_ads__ad_group_report", "attached_node": "model.google_ads.google_ads__ad_group_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_ad_group_id__date_day.7c8e1c1a2f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_group_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__ad_group_report')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_ad_group_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_3b4d505407b6ec52ee5fac7c553b0e4f.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_ad_group_id__date_day.7c8e1c1a2f", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__ad_group_report_ad_group_id__date_day"], "alias": "dbt_utils_unique_combination_o_3b4d505407b6ec52ee5fac7c553b0e4f", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_3b4d505407b6ec52ee5fac7c553b0e4f", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_3b4d505407b6ec52ee5fac7c553b0e4f"}, "created_at": 1696434419.6332421, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_3b4d505407b6ec52ee5fac7c553b0e4f\") }}", "language": "sql", "refs": [{"name": "google_ads__ad_group_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_group_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_3b4d505407b6ec52ee5fac7c553b0e4f.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_group_id, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__ad_group_report`\n    group by ad_group_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__ad_group_report", "attached_node": "model.google_ads.google_ads__ad_group_report"}, "test.google_ads.not_null_google_ads__ad_report_ad_id.7bd6a287ad": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_id", "model": "{{ get_where_subquery(ref('google_ads__ad_report')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_google_ads__ad_report_ad_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__ad_report_ad_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__ad_report_ad_id.7bd6a287ad", "fqn": ["google_ads", "not_null_google_ads__ad_report_ad_id"], "alias": "not_null_google_ads__ad_report_ad_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.639479, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__ad_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__ad_report_ad_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__ad_report`\nwhere ad_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_id", "file_key_name": "models.google_ads__ad_report", "attached_node": "model.google_ads.google_ads__ad_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_report_ad_id__ad_group_id__date_day.fe37ea1a7b": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_id", "ad_group_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__ad_report')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__ad_report_ad_id__ad_group_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_0e386e471201820d82331746820c6c2a.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__ad_report_ad_id__ad_group_id__date_day.fe37ea1a7b", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__ad_report_ad_id__ad_group_id__date_day"], "alias": "dbt_utils_unique_combination_o_0e386e471201820d82331746820c6c2a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0e386e471201820d82331746820c6c2a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0e386e471201820d82331746820c6c2a"}, "created_at": 1696434419.642078, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0e386e471201820d82331746820c6c2a\") }}", "language": "sql", "refs": [{"name": "google_ads__ad_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__ad_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_0e386e471201820d82331746820c6c2a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_id, ad_group_id, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__ad_report`\n    group by ad_id, ad_group_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__ad_report", "attached_node": "model.google_ads.google_ads__ad_report"}, "test.google_ads.not_null_google_ads__campaign_report_campaign_id.cc6694fa0e": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "campaign_id", "model": "{{ get_where_subquery(ref('google_ads__campaign_report')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_google_ads__campaign_report_campaign_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__campaign_report_campaign_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__campaign_report_campaign_id.cc6694fa0e", "fqn": ["google_ads", "not_null_google_ads__campaign_report_campaign_id"], "alias": "not_null_google_ads__campaign_report_campaign_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.6501918, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__campaign_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__campaign_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__campaign_report_campaign_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect campaign_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__campaign_report`\nwhere campaign_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "campaign_id", "file_key_name": "models.google_ads__campaign_report", "attached_node": "model.google_ads.google_ads__campaign_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__campaign_report_campaign_id__advertising_channel_type__advertising_channel_subtype__date_day.f735cda469": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["campaign_id", "advertising_channel_type", "advertising_channel_subtype", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__campaign_report')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__campaign_report_campaign_id__advertising_channel_type__advertising_channel_subtype__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_ec8528411c073564947c460da491432a.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__campaign_report_campaign_id__advertising_channel_type__advertising_channel_subtype__date_day.f735cda469", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__campaign_report_campaign_id__advertising_channel_type__advertising_channel_subtype__date_day"], "alias": "dbt_utils_unique_combination_o_ec8528411c073564947c460da491432a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ec8528411c073564947c460da491432a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ec8528411c073564947c460da491432a"}, "created_at": 1696434419.653051, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ec8528411c073564947c460da491432a\") }}", "language": "sql", "refs": [{"name": "google_ads__campaign_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__campaign_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_ec8528411c073564947c460da491432a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        campaign_id, advertising_channel_type, advertising_channel_subtype, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__campaign_report`\n    group by campaign_id, advertising_channel_type, advertising_channel_subtype, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__campaign_report", "attached_node": "model.google_ads.google_ads__campaign_report"}, "test.google_ads.not_null_google_ads__keyword_report_criterion_id.4cab66a055": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "criterion_id", "model": "{{ get_where_subquery(ref('google_ads__keyword_report')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_google_ads__keyword_report_criterion_id", "resource_type": "test", "package_name": "google_ads", "path": "not_null_google_ads__keyword_report_criterion_id.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.not_null_google_ads__keyword_report_criterion_id.4cab66a055", "fqn": ["google_ads", "not_null_google_ads__keyword_report_criterion_id"], "alias": "not_null_google_ads__keyword_report_criterion_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.659564, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "google_ads__keyword_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__keyword_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/not_null_google_ads__keyword_report_criterion_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect criterion_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__keyword_report`\nwhere criterion_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "criterion_id", "file_key_name": "models.google_ads__keyword_report", "attached_node": "model.google_ads.google_ads__keyword_report"}, "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__keyword_report_ad_group_id__criterion_id__date_day.214ff3497d": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_group_id", "criterion_id", "date_day"], "model": "{{ get_where_subquery(ref('google_ads__keyword_report')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_google_ads__keyword_report_ad_group_id__criterion_id__date_day", "resource_type": "test", "package_name": "google_ads", "path": "dbt_utils_unique_combination_o_5f4b67cbf07cd9f52dc9ddc8771a9f97.sql", "original_file_path": "models/google_ads.yml", "unique_id": "test.google_ads.dbt_utils_unique_combination_of_columns_google_ads__keyword_report_ad_group_id__criterion_id__date_day.214ff3497d", "fqn": ["google_ads", "dbt_utils_unique_combination_of_columns_google_ads__keyword_report_ad_group_id__criterion_id__date_day"], "alias": "dbt_utils_unique_combination_o_5f4b67cbf07cd9f52dc9ddc8771a9f97", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_5f4b67cbf07cd9f52dc9ddc8771a9f97", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_5f4b67cbf07cd9f52dc9ddc8771a9f97"}, "created_at": 1696434419.6621819, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_5f4b67cbf07cd9f52dc9ddc8771a9f97\") }}", "language": "sql", "refs": [{"name": "google_ads__keyword_report", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads.google_ads__keyword_report"]}, "compiled_path": "target/compiled/google_ads/models/google_ads.yml/dbt_utils_unique_combination_o_5f4b67cbf07cd9f52dc9ddc8771a9f97.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_group_id, criterion_id, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads`.`google_ads__keyword_report`\n    group by ad_group_id, criterion_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.google_ads__keyword_report", "attached_node": "model.google_ads.google_ads__keyword_report"}, "test.google_ads_source.not_null_stg_google_ads__account_history_account_id.5ca373f51f": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "account_id", "model": "{{ get_where_subquery(ref('stg_google_ads__account_history')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__account_history_account_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__account_history_account_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__account_history_account_id.5ca373f51f", "fqn": ["google_ads_source", "not_null_stg_google_ads__account_history_account_id"], "alias": "not_null_stg_google_ads__account_history_account_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.703831, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__account_history_account_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect account_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\nwhere account_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "account_id", "file_key_name": "models.stg_google_ads__account_history", "attached_node": "model.google_ads_source.stg_google_ads__account_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_account_id__updated_at.19f35742f1": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["account_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__account_history')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_account_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_73f21be54bd17f372632a4da939970a3.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_account_id__updated_at.19f35742f1", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__account_history_account_id__updated_at"], "alias": "dbt_utils_unique_combination_o_73f21be54bd17f372632a4da939970a3", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_73f21be54bd17f372632a4da939970a3", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_73f21be54bd17f372632a4da939970a3"}, "created_at": 1696434419.706707, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_73f21be54bd17f372632a4da939970a3\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_73f21be54bd17f372632a4da939970a3.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        account_id, updated_at\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_history`\n    group by account_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__account_history", "attached_node": "model.google_ads_source.stg_google_ads__account_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_history_ad_group_id.f6c7c939be": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_group_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_history')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_history_ad_group_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_group_history_ad_group_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_history_ad_group_id.f6c7c939be", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_history_ad_group_id"], "alias": "not_null_stg_google_ads__ad_group_history_ad_group_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.7126322, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_group_history_ad_group_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_group_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`\nwhere ad_group_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_group_id", "file_key_name": "models.stg_google_ads__ad_group_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_ad_group_id__updated_at.096e8da5fd": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_group_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_history')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_ad_group_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_0c1cbeb5a9539431a7fbce6af1a21d7a.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_ad_group_id__updated_at.096e8da5fd", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_history_ad_group_id__updated_at"], "alias": "dbt_utils_unique_combination_o_0c1cbeb5a9539431a7fbce6af1a21d7a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0c1cbeb5a9539431a7fbce6af1a21d7a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0c1cbeb5a9539431a7fbce6af1a21d7a"}, "created_at": 1696434419.715456, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0c1cbeb5a9539431a7fbce6af1a21d7a\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_0c1cbeb5a9539431a7fbce6af1a21d7a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_group_id, updated_at\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_history`\n    group by ad_group_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_group_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_history_ad_id.8c23c38248": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_history')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_history_ad_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_history_ad_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_history_ad_id.8c23c38248", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_history_ad_id"], "alias": "not_null_stg_google_ads__ad_history_ad_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.72217, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_history_ad_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history`\nwhere ad_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_id", "file_key_name": "models.stg_google_ads__ad_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_ad_id__ad_group_id__updated_at.0c065b0a0b": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_id", "ad_group_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_history')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_ad_id__ad_group_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_0cf5dbf0b60dae1b36794a079a6f8b74.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_ad_id__ad_group_id__updated_at.0c065b0a0b", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_history_ad_id__ad_group_id__updated_at"], "alias": "dbt_utils_unique_combination_o_0cf5dbf0b60dae1b36794a079a6f8b74", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0cf5dbf0b60dae1b36794a079a6f8b74", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0cf5dbf0b60dae1b36794a079a6f8b74"}, "created_at": 1696434419.7246761, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0cf5dbf0b60dae1b36794a079a6f8b74\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_0cf5dbf0b60dae1b36794a079a6f8b74.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_id, ad_group_id, updated_at\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_history`\n    group by ad_id, ad_group_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_stats_date_day.9a43c0fce4": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_stats_date_day.9a43c0fce4", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_stats_date_day"], "alias": "not_null_stg_google_ads__ad_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.730835, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats`\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__ad_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_stats"}, "test.google_ads_source.not_null_stg_google_ads__ad_stats_ad_id.2612d83cc8": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_stats_ad_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_stats_ad_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_stats_ad_id.2612d83cc8", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_stats_ad_id"], "alias": "not_null_stg_google_ads__ad_stats_ad_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.7333171, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_stats_ad_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats`\nwhere ad_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_id", "file_key_name": "models.stg_google_ads__ad_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day.968b016451": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_id", "ad_network_type", "device", "ad_group_id", "keyword_ad_group_criterion", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_stats')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_0e6e3aa3d77b11d347e7c430ba7c2ea1.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day.968b016451", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_stats_ad_id__ad_network_type__device__ad_group_id__keyword_ad_group_criterion__date_day"], "alias": "dbt_utils_unique_combination_o_0e6e3aa3d77b11d347e7c430ba7c2ea1", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0e6e3aa3d77b11d347e7c430ba7c2ea1", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0e6e3aa3d77b11d347e7c430ba7c2ea1"}, "created_at": 1696434419.736128, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0e6e3aa3d77b11d347e7c430ba7c2ea1\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_0e6e3aa3d77b11d347e7c430ba7c2ea1.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_id, ad_network_type, device, ad_group_id, keyword_ad_group_criterion, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_stats`\n    group by ad_id, ad_network_type, device, ad_group_id, keyword_ad_group_criterion, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_stats"}, "test.google_ads_source.not_null_stg_google_ads__campaign_history_campaign_id.fa0c825e75": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "campaign_id", "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_history')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__campaign_history_campaign_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__campaign_history_campaign_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__campaign_history_campaign_id.fa0c825e75", "fqn": ["google_ads_source", "not_null_stg_google_ads__campaign_history_campaign_id"], "alias": "not_null_stg_google_ads__campaign_history_campaign_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.742081, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__campaign_history_campaign_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect campaign_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\nwhere campaign_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "campaign_id", "file_key_name": "models.stg_google_ads__campaign_history", "attached_node": "model.google_ads_source.stg_google_ads__campaign_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_campaign_id__updated_at.8bf2733e86": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["campaign_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_history')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_campaign_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_bd5040437362e14b36ab7ce3eaa14d1d.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_campaign_id__updated_at.8bf2733e86", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_history_campaign_id__updated_at"], "alias": "dbt_utils_unique_combination_o_bd5040437362e14b36ab7ce3eaa14d1d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_bd5040437362e14b36ab7ce3eaa14d1d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_bd5040437362e14b36ab7ce3eaa14d1d"}, "created_at": 1696434419.74497, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_bd5040437362e14b36ab7ce3eaa14d1d\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_bd5040437362e14b36ab7ce3eaa14d1d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        campaign_id, updated_at\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_history`\n    group by campaign_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__campaign_history", "attached_node": "model.google_ads_source.stg_google_ads__campaign_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_criterion_history_criterion_id.7a0a8b8476": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "criterion_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_criterion_history')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_criterion_history_criterion_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_criterion_history_criterion_id.7a0a8b8476", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_criterion_history_criterion_id"], "alias": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031"}, "created_at": 1696434419.751473, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(alias=\"not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_criterion_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_gr_fa51ec93a9a1e739108966cace6ed031.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect criterion_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_criterion_history`\nwhere criterion_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "criterion_id", "file_key_name": "models.stg_google_ads__ad_group_criterion_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_criterion_history"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_criterion_id__ad_group_id__updated_at.197bbc6816": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["criterion_id", "ad_group_id", "updated_at"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_criterion_history')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_criterion_id__ad_group_id__updated_at", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_2ce4e2825f6fe9034f28085d1444c1e8.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_criterion_id__ad_group_id__updated_at.197bbc6816", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_criterion_history_criterion_id__ad_group_id__updated_at"], "alias": "dbt_utils_unique_combination_o_2ce4e2825f6fe9034f28085d1444c1e8", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_2ce4e2825f6fe9034f28085d1444c1e8", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_2ce4e2825f6fe9034f28085d1444c1e8"}, "created_at": 1696434419.754459, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_2ce4e2825f6fe9034f28085d1444c1e8\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_criterion_history", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_2ce4e2825f6fe9034f28085d1444c1e8.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        criterion_id, ad_group_id, updated_at\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_criterion_history`\n    group by criterion_id, ad_group_id, updated_at\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_group_criterion_history", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_criterion_history"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_date_day.3c6a221786": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_group_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_date_day.3c6a221786", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_stats_date_day"], "alias": "not_null_stg_google_ads__ad_group_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.760233, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_group_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats`\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__ad_group_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_stats"}, "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_ad_group_id.a8d430f077": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "ad_group_id", "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__ad_group_stats_ad_group_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__ad_group_stats_ad_group_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__ad_group_stats_ad_group_id.a8d430f077", "fqn": ["google_ads_source", "not_null_stg_google_ads__ad_group_stats_ad_group_id"], "alias": "not_null_stg_google_ads__ad_group_stats_ad_group_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.762707, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__ad_group_stats_ad_group_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect ad_group_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats`\nwhere ad_group_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "ad_group_id", "file_key_name": "models.stg_google_ads__ad_group_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_ad_group_id__device__ad_network_type__date_day.ed55af6020": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["ad_group_id", "device", "ad_network_type", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__ad_group_stats')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_ad_group_id__device__ad_network_type__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_779a67237d95206a8de7fb9388c2108c.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_ad_group_id__device__ad_network_type__date_day.ed55af6020", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__ad_group_stats_ad_group_id__device__ad_network_type__date_day"], "alias": "dbt_utils_unique_combination_o_779a67237d95206a8de7fb9388c2108c", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_779a67237d95206a8de7fb9388c2108c", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_779a67237d95206a8de7fb9388c2108c"}, "created_at": 1696434419.765462, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_779a67237d95206a8de7fb9388c2108c\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__ad_group_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__ad_group_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_779a67237d95206a8de7fb9388c2108c.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        ad_group_id, device, ad_network_type, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__ad_group_stats`\n    group by ad_group_id, device, ad_network_type, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__ad_group_stats", "attached_node": "model.google_ads_source.stg_google_ads__ad_group_stats"}, "test.google_ads_source.not_null_stg_google_ads__campaign_stats_date_day.dc097fd76b": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__campaign_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__campaign_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__campaign_stats_date_day.dc097fd76b", "fqn": ["google_ads_source", "not_null_stg_google_ads__campaign_stats_date_day"], "alias": "not_null_stg_google_ads__campaign_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.7711208, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__campaign_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats`\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__campaign_stats", "attached_node": "model.google_ads_source.stg_google_ads__campaign_stats"}, "test.google_ads_source.not_null_stg_google_ads__campaign_stats_campaign_id.11587fa10f": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "campaign_id", "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__campaign_stats_campaign_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__campaign_stats_campaign_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__campaign_stats_campaign_id.11587fa10f", "fqn": ["google_ads_source", "not_null_stg_google_ads__campaign_stats_campaign_id"], "alias": "not_null_stg_google_ads__campaign_stats_campaign_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.774626, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__campaign_stats_campaign_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect campaign_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats`\nwhere campaign_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "campaign_id", "file_key_name": "models.stg_google_ads__campaign_stats", "attached_node": "model.google_ads_source.stg_google_ads__campaign_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_campaign_id__ad_network_type__device__date_day.69600f7d45": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["campaign_id", "ad_network_type", "device", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__campaign_stats')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_campaign_id__ad_network_type__device__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_99cd4c79dd8197dda4f4ac2294fc9259.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_campaign_id__ad_network_type__device__date_day.69600f7d45", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__campaign_stats_campaign_id__ad_network_type__device__date_day"], "alias": "dbt_utils_unique_combination_o_99cd4c79dd8197dda4f4ac2294fc9259", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_99cd4c79dd8197dda4f4ac2294fc9259", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_99cd4c79dd8197dda4f4ac2294fc9259"}, "created_at": 1696434419.777308, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_99cd4c79dd8197dda4f4ac2294fc9259\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__campaign_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__campaign_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_99cd4c79dd8197dda4f4ac2294fc9259.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        campaign_id, ad_network_type, device, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__campaign_stats`\n    group by campaign_id, ad_network_type, device, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__campaign_stats", "attached_node": "model.google_ads_source.stg_google_ads__campaign_stats"}, "test.google_ads_source.not_null_stg_google_ads__keyword_stats_date_day.a9da72f74d": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__keyword_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__keyword_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__keyword_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__keyword_stats_date_day.a9da72f74d", "fqn": ["google_ads_source", "not_null_stg_google_ads__keyword_stats_date_day"], "alias": "not_null_stg_google_ads__keyword_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.783799, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__keyword_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats`\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__keyword_stats", "attached_node": "model.google_ads_source.stg_google_ads__keyword_stats"}, "test.google_ads_source.not_null_stg_google_ads__keyword_stats_keyword_id.f0945d6cf0": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "keyword_id", "model": "{{ get_where_subquery(ref('stg_google_ads__keyword_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__keyword_stats_keyword_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__keyword_stats_keyword_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__keyword_stats_keyword_id.f0945d6cf0", "fqn": ["google_ads_source", "not_null_stg_google_ads__keyword_stats_keyword_id"], "alias": "not_null_stg_google_ads__keyword_stats_keyword_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.7873971, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__keyword_stats_keyword_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect keyword_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats`\nwhere keyword_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "keyword_id", "file_key_name": "models.stg_google_ads__keyword_stats", "attached_node": "model.google_ads_source.stg_google_ads__keyword_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_keyword_id__date_day.8f15198e68": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["keyword_id", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__keyword_stats')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_keyword_id__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_7e3d865f56378985172b621ddff21534.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_keyword_id__date_day.8f15198e68", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__keyword_stats_keyword_id__date_day"], "alias": "dbt_utils_unique_combination_o_7e3d865f56378985172b621ddff21534", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_7e3d865f56378985172b621ddff21534", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_7e3d865f56378985172b621ddff21534"}, "created_at": 1696434419.78999, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_7e3d865f56378985172b621ddff21534\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__keyword_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__keyword_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_7e3d865f56378985172b621ddff21534.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        keyword_id, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__keyword_stats`\n    group by keyword_id, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__keyword_stats", "attached_node": "model.google_ads_source.stg_google_ads__keyword_stats"}, "test.google_ads_source.not_null_stg_google_ads__account_stats_account_id.2a9da5417b": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "account_id", "model": "{{ get_where_subquery(ref('stg_google_ads__account_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__account_stats_account_id", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__account_stats_account_id.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__account_stats_account_id.2a9da5417b", "fqn": ["google_ads_source", "not_null_stg_google_ads__account_stats_account_id"], "alias": "not_null_stg_google_ads__account_stats_account_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.7959712, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__account_stats_account_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect account_id\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats`\nwhere account_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "account_id", "file_key_name": "models.stg_google_ads__account_stats", "attached_node": "model.google_ads_source.stg_google_ads__account_stats"}, "test.google_ads_source.not_null_stg_google_ads__account_stats_date_day.57ac8772d5": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "date_day", "model": "{{ get_where_subquery(ref('stg_google_ads__account_stats')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "not_null_stg_google_ads__account_stats_date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "not_null_stg_google_ads__account_stats_date_day.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.not_null_stg_google_ads__account_stats_date_day.57ac8772d5", "fqn": ["google_ads_source", "not_null_stg_google_ads__account_stats_date_day"], "alias": "not_null_stg_google_ads__account_stats_date_day", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1696434419.798416, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/not_null_stg_google_ads__account_stats_date_day.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect date_day\nfrom `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats`\nwhere date_day is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "date_day", "file_key_name": "models.stg_google_ads__account_stats", "attached_node": "model.google_ads_source.stg_google_ads__account_stats"}, "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_account_id__device__ad_network_type__date_day.3019f8a860": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["account_id", "device", "ad_network_type", "date_day"], "model": "{{ get_where_subquery(ref('stg_google_ads__account_stats')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "zz_dbt_renee_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_account_id__device__ad_network_type__date_day", "resource_type": "test", "package_name": "google_ads_source", "path": "dbt_utils_unique_combination_o_c760910058eb575d2384e263c612c0c3.sql", "original_file_path": "models/stg_google_ads.yml", "unique_id": "test.google_ads_source.dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_account_id__device__ad_network_type__date_day.3019f8a860", "fqn": ["google_ads_source", "dbt_utils_unique_combination_of_columns_stg_google_ads__account_stats_account_id__device__ad_network_type__date_day"], "alias": "dbt_utils_unique_combination_o_c760910058eb575d2384e263c612c0c3", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_c760910058eb575d2384e263c612c0c3", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_c760910058eb575d2384e263c612c0c3"}, "created_at": 1696434419.800847, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_c760910058eb575d2384e263c612c0c3\") }}", "language": "sql", "refs": [{"name": "stg_google_ads__account_stats", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.google_ads_source.stg_google_ads__account_stats"]}, "compiled_path": "target/compiled/google_ads_source/models/stg_google_ads.yml/dbt_utils_unique_combination_o_c760910058eb575d2384e263c612c0c3.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        account_id, device, ad_network_type, date_day\n    from `dbt-package-testing`.`zz_dbt_renee_google_ads_source`.`stg_google_ads__account_stats`\n    group by account_id, device, ad_network_type, date_day\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_google_ads__account_stats", "attached_node": "model.google_ads_source.stg_google_ads__account_stats"}}, "sources": {"source.google_ads_source.google_ads.ad_stats": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "ad_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_stats", "fqn": ["google_ads_source", "google_ads", "ad_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_stats", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of an ad in Google Ads broken down to the ad network, device type, and ad group criterion.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group": {"name": "ad_group", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_id": {"name": "ad_id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_ad_group_criterion": {"name": "keyword_ad_group_criterion", "description": "The ad group which the keyword criterion resides.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`ad_stats`", "created_at": 1696434419.841645}, "source.google_ads_source.google_ads.ad_history": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "ad_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_history", "fqn": ["google_ads_source", "google_ads", "ad_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_history", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a version of an ad in Google Ads.", "columns": {"ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "display_url": {"name": "display_url", "description": "The display url of the ad that is being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of the ad in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "Status of the Ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "final_urls": {"name": "final_urls", "description": "A list of urls that are used for the ad.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`ad_history`", "created_at": 1696434419.8419998}, "source.google_ads_source.google_ads.ad_group_history": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "ad_group_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_group_history", "fqn": ["google_ads_source", "google_ads", "ad_group_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_group_history", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a version of an ad group in Google Ads.", "columns": {"id": {"name": "id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of the ad group in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_name": {"name": "campaign_name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "The name of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "Status of the ad group.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`ad_group_history`", "created_at": 1696434419.8423061}, "source.google_ads_source.google_ads.campaign_history": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "campaign_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.campaign_history", "fqn": ["google_ads_source", "google_ads", "campaign_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "campaign_history", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a version of a campaign in Google Ads.", "columns": {"id": {"name": "id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_type": {"name": "advertising_channel_type", "description": "The type of advertising channel being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "advertising_channel_subtype": {"name": "advertising_channel_subtype", "description": "The advertising channel subtype that is being used by the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "start_date": {"name": "start_date", "description": "The start date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "end_date": {"name": "end_date", "description": "The end date of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "serving_status": {"name": "serving_status", "description": "Status of the ads and how they are currently being served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "General status of the campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "tracking_url_template": {"name": "tracking_url_template", "description": "The tracking url template being used throughout the campaign ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "The name of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`campaign_history`", "created_at": 1696434419.842624}, "source.google_ads_source.google_ads.account_history": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "account_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.account_history", "fqn": ["google_ads_source", "google_ads", "account_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "account_history", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a historical version of an account in Google Ads.", "columns": {"id": {"name": "id", "description": "The ID of the Account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "currency_code": {"name": "currency_code", "description": "The currency of the spend reported.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_tagging_enabled": {"name": "auto_tagging_enabled", "description": "Boolean indicating if auto tagging is enabled on the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The time zone of the account ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "descriptive_name": {"name": "descriptive_name", "description": "The descriptive name of the Customer account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`account_history`", "created_at": 1696434419.8430002}, "source.google_ads_source.google_ads.ad_group_criterion_history": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "ad_group_criterion_history", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_group_criterion_history", "fqn": ["google_ads_source", "google_ads", "ad_group_criterion_history"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_group_criterion_history", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents a historical version of an ad group criterion in Google Ads.", "columns": {"id": {"name": "id", "description": "Unique identifier of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "base_campaign_id": {"name": "base_campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "updated_at": {"name": "updated_at", "description": "Timestamp of when the record was last updated in Google Ads.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "The type of ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The current status of the ad group criterion.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_match_type": {"name": "keyword_match_type", "description": "The match type which dictate how closely the keyword needs to match with the user\u2019s search query so that the ad can be considered for the auction.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "keyword_text": {"name": "keyword_text", "description": "The text used within the keyword criterion that is being matched against.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_active": {"name": "_fivetran_active", "description": "Boolean representing whether the state of the record is currently active.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`ad_group_criterion_history`", "created_at": 1696434419.843308}, "source.google_ads_source.google_ads.ad_group_stats": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "ad_group_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.ad_group_stats", "fqn": ["google_ads_source", "google_ads", "ad_group_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "ad_group_stats", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of an ad group in Google Ads broken down to the ad network and device type.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`ad_group_stats`", "created_at": 1696434419.843613}, "source.google_ads_source.google_ads.campaign_stats": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "campaign_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.campaign_stats", "fqn": ["google_ads_source", "google_ads", "campaign_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "campaign_stats", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of a campaign in Google Ads broken down to the ad network and device type.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`campaign_stats`", "created_at": 1696434419.8439062}, "source.google_ads_source.google_ads.keyword_stats": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "keyword_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.keyword_stats", "fqn": ["google_ads_source", "google_ads", "keyword_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "keyword_stats", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of a keyword in Google Ads.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_id": {"name": "ad_group_id", "description": "The ID of the AdGroup.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_id": {"name": "_fivetran_id", "description": "The unique ID of the keyword record.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "campaign_id": {"name": "campaign_id", "description": "The ID of the Campaign.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_group_criterion_criterion_id": {"name": "ad_group_criterion_criterion_id", "description": "Reference to the ad group criterion used for the keyword.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`keyword_stats`", "created_at": 1696434419.8442109}, "source.google_ads_source.google_ads.account_stats": {"database": "dbt-package-testing", "schema": "google_ads_4", "name": "account_stats", "resource_type": "source", "package_name": "google_ads_source", "path": "models/src_google_ads.yml", "original_file_path": "models/src_google_ads.yml", "unique_id": "source.google_ads_source.google_ads.account_stats", "fqn": ["google_ads_source", "google_ads", "account_stats"], "source_name": "google_ads", "source_description": "", "loader": "Fivetran", "identifier": "account_stats", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": "_fivetran_synced", "freshness": {"warn_after": {"count": 48, "period": "hour"}, "error_after": {"count": 168, "period": "hour"}, "filter": null}, "external": null, "description": "Each record represents the daily performance of an account in Google Ads broken down to the ad network and device type.", "columns": {"customer_id": {"name": "customer_id", "description": "The Customer ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date": {"name": "date", "description": "The date being reported on.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ad_network_type": {"name": "ad_network_type", "description": "The Google Ad network type used across the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "device": {"name": "device", "description": "Account ad performance per unique device where the ads were served.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "clicks": {"name": "clicks", "description": "The number of clicks.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "cost_micros": {"name": "cost_micros", "description": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "impressions": {"name": "impressions", "description": "Count of how often your ad has appeared on a search results page or website on the Google Network.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`google_ads_4`.`account_stats`", "created_at": 1696434419.844508}}, "macros": {"macro.dbt_bigquery.date_sharded_table": {"name": "date_sharded_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.date_sharded_table", "macro_sql": "{% macro date_sharded_table(base_name) %}\n    {{ return(base_name ~ \"[DBT__PARTITION_DATE]\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.221025, "supported_languages": null}, "macro.dbt_bigquery.grant_access_to": {"name": "grant_access_to", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.grant_access_to", "macro_sql": "{% macro grant_access_to(entity, entity_type, role, grant_target_dict) -%}\n  {% do adapter.grant_access_to(entity, entity_type, role, grant_target_dict) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2218611, "supported_languages": null}, "macro.dbt_bigquery.get_partitions_metadata": {"name": "get_partitions_metadata", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.get_partitions_metadata", "macro_sql": "\n\n{%- macro get_partitions_metadata(table) -%}\n  {%- if execute -%}\n    {%- set res = adapter.get_partitions_metadata(table) -%}\n    {{- return(res) -}}\n  {%- endif -%}\n  {{- return(None) -}}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.222827, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_catalog": {"name": "bigquery__get_catalog", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/catalog.sql", "original_file_path": "macros/catalog.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_catalog", "macro_sql": "{% macro bigquery__get_catalog(information_schema, schemas) -%}\n\n  {%- if (schemas | length) == 0 -%}\n    {# Hopefully nothing cares about the columns we return when there are no rows #}\n    {%- set query  = \"select 1 as id limit 0\" -%}\n  {%- else -%}\n\n  {%- set query -%}\n    with tables as (\n        select\n            project_id as table_database,\n            dataset_id as table_schema,\n            table_id as original_table_name,\n\n            concat(project_id, '.', dataset_id, '.', table_id) as relation_id,\n\n            row_count,\n            size_bytes as size_bytes,\n            case\n                when type = 1 then 'table'\n                when type = 2 then 'view'\n                else 'external'\n            end as table_type,\n\n            REGEXP_CONTAINS(table_id, '^.+[0-9]{8}$') and coalesce(type, 0) = 1 as is_date_shard,\n            REGEXP_EXTRACT(table_id, '^(.+)[0-9]{8}$') as shard_base_name,\n            REGEXP_EXTRACT(table_id, '^.+([0-9]{8})$') as shard_name\n\n        from {{ information_schema.replace(information_schema_view='__TABLES__') }}\n        where (\n          {%- for schema in schemas -%}\n            upper(dataset_id) = upper('{{ schema }}'){%- if not loop.last %} or {% endif -%}\n          {%- endfor -%}\n        )\n    ),\n\n    table_options as (\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            JSON_VALUE(option_value) as table_comment\n\n        from {{ information_schema.replace(information_schema_view='TABLE_OPTIONS') }}\n        where option_name = 'description'\n    ),\n    extracted as (\n\n        select *,\n            case\n                when is_date_shard then shard_base_name\n                else original_table_name\n            end as table_name\n\n        from tables\n\n    ),\n\n    unsharded_tables as (\n\n        select\n            table_database,\n            table_schema,\n            table_name,\n            coalesce(table_type, 'external') as table_type,\n            is_date_shard,\n\n            struct(\n                min(shard_name) as shard_min,\n                max(shard_name) as shard_max,\n                count(*) as shard_count\n            ) as table_shards,\n\n            sum(size_bytes) as size_bytes,\n            sum(row_count) as row_count,\n\n            max(relation_id) as relation_id\n\n        from extracted\n        group by 1,2,3,4,5\n\n    ),\n\n    info_schema_columns as (\n\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            table_catalog as table_database,\n            table_schema,\n            table_name,\n\n            -- use the \"real\" column name from the paths query below\n            column_name as base_column_name,\n            ordinal_position as column_index,\n\n            is_partitioning_column,\n            clustering_ordinal_position\n\n        from {{ information_schema.replace(information_schema_view='COLUMNS') }}\n        where ordinal_position is not null\n\n    ),\n\n    info_schema_column_paths as (\n\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            field_path as column_name,\n            data_type as column_type,\n            column_name as base_column_name,\n            description as column_comment\n\n        from {{ information_schema.replace(information_schema_view='COLUMN_FIELD_PATHS') }}\n\n    ),\n\n    columns as (\n\n        select * except (base_column_name)\n        from info_schema_columns\n        join info_schema_column_paths using (relation_id, base_column_name)\n\n    ),\n\n    column_stats as (\n\n        select\n            table_database,\n            table_schema,\n            table_name,\n            max(relation_id) as relation_id,\n            max(case when is_partitioning_column = 'YES' then 1 else 0 end) = 1 as is_partitioned,\n            max(case when is_partitioning_column = 'YES' then column_name else null end) as partition_column,\n            max(case when clustering_ordinal_position is not null then 1 else 0 end) = 1 as is_clustered,\n            array_to_string(\n                array_agg(\n                    case\n                        when clustering_ordinal_position is not null then column_name\n                        else null\n                    end ignore nulls\n                    order by clustering_ordinal_position\n                ), ', '\n            ) as clustering_columns\n\n        from columns\n        group by 1,2,3\n\n    )\n\n    select\n        unsharded_tables.table_database,\n        unsharded_tables.table_schema,\n        case\n            when is_date_shard then concat(unsharded_tables.table_name, '*')\n            else unsharded_tables.table_name\n        end as table_name,\n        unsharded_tables.table_type,\n        table_options.table_comment,\n\n        -- coalesce name and type for External tables - these columns are not\n        -- present in the COLUMN_FIELD_PATHS resultset\n        coalesce(columns.column_name, '<unknown>') as column_name,\n        -- invent a row number to account for nested fields -- BQ does\n        -- not treat these nested properties as independent fields\n        row_number() over (\n            partition by relation_id\n            order by columns.column_index, columns.column_name\n        ) as column_index,\n        coalesce(columns.column_type, '<unknown>') as column_type,\n        columns.column_comment,\n\n        'Shard count' as `stats__date_shards__label`,\n        table_shards.shard_count as `stats__date_shards__value`,\n        'The number of date shards in this table' as `stats__date_shards__description`,\n        is_date_shard as `stats__date_shards__include`,\n\n        'Shard (min)' as `stats__date_shard_min__label`,\n        table_shards.shard_min as `stats__date_shard_min__value`,\n        'The first date shard in this table' as `stats__date_shard_min__description`,\n        is_date_shard as `stats__date_shard_min__include`,\n\n        'Shard (max)' as `stats__date_shard_max__label`,\n        table_shards.shard_max as `stats__date_shard_max__value`,\n        'The last date shard in this table' as `stats__date_shard_max__description`,\n        is_date_shard as `stats__date_shard_max__include`,\n\n        '# Rows' as `stats__num_rows__label`,\n        row_count as `stats__num_rows__value`,\n        'Approximate count of rows in this table' as `stats__num_rows__description`,\n        (unsharded_tables.table_type = 'table') as `stats__num_rows__include`,\n\n        'Approximate Size' as `stats__num_bytes__label`,\n        size_bytes as `stats__num_bytes__value`,\n        'Approximate size of table as reported by BigQuery' as `stats__num_bytes__description`,\n        (unsharded_tables.table_type = 'table') as `stats__num_bytes__include`,\n\n        'Partitioned By' as `stats__partitioning_type__label`,\n        partition_column as `stats__partitioning_type__value`,\n        'The partitioning column for this table' as `stats__partitioning_type__description`,\n        is_partitioned as `stats__partitioning_type__include`,\n\n        'Clustered By' as `stats__clustering_fields__label`,\n        clustering_columns as `stats__clustering_fields__value`,\n        'The clustering columns for this table' as `stats__clustering_fields__description`,\n        is_clustered as `stats__clustering_fields__include`\n\n    -- join using relation_id (an actual relation, not a shard prefix) to make\n    -- sure that column metadata is picked up through the join. This will only\n    -- return the column information for the \"max\" table in a date-sharded table set\n    from unsharded_tables\n    left join table_options using (relation_id)\n    left join columns using (relation_id)\n    left join column_stats using (relation_id)\n  {%- endset -%}\n\n  {%- endif -%}\n\n  {{ return(run_query(query)) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.231963, "supported_languages": null}, "macro.dbt_bigquery.partition_by": {"name": "partition_by", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.partition_by", "macro_sql": "{% macro partition_by(partition_config) -%}\n    {%- if partition_config is none -%}\n      {% do return('') %}\n    {%- elif partition_config.time_ingestion_partitioning -%}\n        partition by {{ partition_config.render_wrapped() }}\n    {%- elif partition_config.data_type | lower in ('date','timestamp','datetime') -%}\n        partition by {{ partition_config.render() }}\n    {%- elif partition_config.data_type | lower in ('int64') -%}\n        {%- set range = partition_config.range -%}\n        partition by range_bucket(\n            {{ partition_config.field }},\n            generate_array({{ range.start}}, {{ range.end }}, {{ range.interval }})\n        )\n    {%- endif -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.24388, "supported_languages": null}, "macro.dbt_bigquery.cluster_by": {"name": "cluster_by", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.cluster_by", "macro_sql": "{% macro cluster_by(raw_cluster_by) %}\n  {%- if raw_cluster_by is not none -%}\n  cluster by {% if raw_cluster_by is string -%}\n    {% set raw_cluster_by = [raw_cluster_by] %}\n  {%- endif -%}\n  {%- for cluster in raw_cluster_by -%}\n    {{ cluster }}\n    {%- if not loop.last -%}, {% endif -%}\n  {%- endfor -%}\n\n  {% endif %}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2452009, "supported_languages": null}, "macro.dbt_bigquery.bigquery_options": {"name": "bigquery_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery_options", "macro_sql": "{% macro bigquery_options(opts) %}\n  {% set options -%}\n    OPTIONS({% for opt_key, opt_val in opts.items() %}\n      {{ opt_key }}={{ opt_val }}{{ \",\" if not loop.last }}\n    {% endfor %})\n  {%- endset %}\n  {%- do return(options) -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2463, "supported_languages": null}, "macro.dbt_bigquery.bigquery_table_options": {"name": "bigquery_table_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery_table_options", "macro_sql": "{% macro bigquery_table_options(config, node, temporary) %}\n  {% set opts = adapter.get_table_options(config, node, temporary) %}\n  {%- do return(bigquery_options(opts)) -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.247125, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_table_as": {"name": "bigquery__create_table_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_table_as", "macro_sql": "{% macro bigquery__create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {%- if language == 'sql' -%}\n    {%- set raw_partition_by = config.get('partition_by', none) -%}\n    {%- set raw_cluster_by = config.get('cluster_by', none) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {%- set partition_config = adapter.parse_partition_by(raw_partition_by) -%}\n    {%- if partition_config.time_ingestion_partitioning -%}\n    {%- set columns = get_columns_with_types_in_query_sql(sql) -%}\n    {%- set table_dest_columns_csv = columns_without_partition_fields_csv(partition_config, columns) -%}\n    {%- set columns = '(' ~ table_dest_columns_csv ~ ')' -%}\n    {%- endif -%}\n\n    {{ sql_header if sql_header is not none }}\n\n    create or replace table {{ relation }}\n      {%- set contract_config = config.get('contract') -%}\n      {%- if contract_config.enforced -%}\n        {{ get_assert_columns_equivalent(compiled_code) }}\n        {{ get_table_columns_and_constraints() }}\n        {%- set compiled_code = get_select_subquery(compiled_code) %}\n      {% else %}\n        {#-- cannot do contracts at the same time as time ingestion partitioning -#}\n        {{ columns }}\n      {% endif %}\n    {{ partition_by(partition_config) }}\n    {{ cluster_by(raw_cluster_by) }}\n\n    {{ bigquery_table_options(config, model, temporary) }}\n\n    {#-- PARTITION BY cannot be used with the AS query_statement clause.\n         https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#partition_expression\n    -#}\n    {%- if not partition_config.time_ingestion_partitioning %}\n    as (\n      {{ compiled_code }}\n    );\n    {%- endif %}\n  {%- elif language == 'python' -%}\n    {#--\n    N.B. Python models _can_ write to temp views HOWEVER they use a different session\n    and have already expired by the time they need to be used (I.E. in merges for incremental models)\n\n    TODO: Deep dive into spark sessions to see if we can reuse a single session for an entire\n    dbt invocation.\n     --#}\n\n    {#-- when a user wants to change the schema of an existing relation, they must intentionally drop the table in the dataset --#}\n    {%- set old_relation = adapter.get_relation(database=relation.database, schema=relation.schema, identifier=relation.identifier) -%}\n    {%- if (old_relation.is_table and (should_full_refresh())) -%}\n      {% do adapter.drop_relation(relation) %}\n    {%- endif -%}\n    {{ py_write_table(compiled_code=compiled_code, target_relation=relation.quote(database=False, schema=False, identifier=False)) }}\n  {%- else -%}\n    {% do exceptions.raise_compiler_error(\"bigquery__create_table_as macro didn't get supported language, it got %s\" % language) %}\n  {%- endif -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.get_columns_with_types_in_query_sql", "macro.dbt_bigquery.columns_without_partition_fields_csv", "macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery", "macro.dbt_bigquery.partition_by", "macro.dbt_bigquery.cluster_by", "macro.dbt_bigquery.bigquery_table_options", "macro.dbt.should_full_refresh", "macro.dbt_bigquery.py_write_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.252706, "supported_languages": null}, "macro.dbt_bigquery.bigquery_view_options": {"name": "bigquery_view_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery_view_options", "macro_sql": "{% macro bigquery_view_options(config, node) %}\n  {% set opts = adapter.get_view_options(config, node) %}\n  {%- do return(bigquery_options(opts)) -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.253474, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_view_as": {"name": "bigquery__create_view_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_view_as", "macro_sql": "{% macro bigquery__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create or replace view {{ relation }}\n  {{ bigquery_view_options(config, model) }}\n  {%- set contract_config = config.get('contract') -%}\n  {%- if contract_config.enforced -%}\n    {{ get_assert_columns_equivalent(sql) }}\n  {%- endif %}\n  as {{ sql }};\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_view_options", "macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.254792, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_schema": {"name": "bigquery__drop_schema", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_schema", "macro_sql": "{% macro bigquery__drop_schema(relation) -%}\n  {{ adapter.drop_schema(relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.255187, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_relation": {"name": "bigquery__drop_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_relation", "macro_sql": "{% macro bigquery__drop_relation(relation) -%}\n  {% call statement('drop_relation') -%}\n    drop {{ relation.type }} if exists {{ relation }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.255697, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_columns_in_relation": {"name": "bigquery__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_columns_in_relation", "macro_sql": "{% macro bigquery__get_columns_in_relation(relation) -%}\n  {{ return(adapter.get_columns_in_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.256089, "supported_languages": null}, "macro.dbt_bigquery.bigquery__list_relations_without_caching": {"name": "bigquery__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__list_relations_without_caching", "macro_sql": "{% macro bigquery__list_relations_without_caching(schema_relation) -%}\n  {{ return(adapter.list_relations_without_caching(schema_relation)) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.256473, "supported_languages": null}, "macro.dbt_bigquery.bigquery__list_schemas": {"name": "bigquery__list_schemas", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__list_schemas", "macro_sql": "{% macro bigquery__list_schemas(database) -%}\n  {{ return(adapter.list_schemas(database)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2568681, "supported_languages": null}, "macro.dbt_bigquery.bigquery__check_schema_exists": {"name": "bigquery__check_schema_exists", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__check_schema_exists", "macro_sql": "{% macro bigquery__check_schema_exists(information_schema, schema) %}\n  {{ return(adapter.check_schema_exists(information_schema.database, schema)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.257368, "supported_languages": null}, "macro.dbt_bigquery.bigquery__persist_docs": {"name": "bigquery__persist_docs", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__persist_docs", "macro_sql": "{% macro bigquery__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do alter_column_comment(relation, model.columns) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2581272, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_column_comment": {"name": "bigquery__alter_column_comment", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_column_comment", "macro_sql": "{% macro bigquery__alter_column_comment(relation, column_dict) -%}\n  {% do adapter.update_columns(relation, column_dict) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.258576, "supported_languages": null}, "macro.dbt_bigquery.bigquery__rename_relation": {"name": "bigquery__rename_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__rename_relation", "macro_sql": "{% macro bigquery__rename_relation(from_relation, to_relation) -%}\n  {% do adapter.rename_relation(from_relation, to_relation) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.25918, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_relation_add_columns": {"name": "bigquery__alter_relation_add_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_relation_add_columns", "macro_sql": "{% macro bigquery__alter_relation_add_columns(relation, add_columns) %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n        {% for column in add_columns %}\n          add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n        {% endfor %}\n\n  {%- endset -%}\n\n  {{ return(run_query(sql)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.26027, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_relation_drop_columns": {"name": "bigquery__alter_relation_drop_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_relation_drop_columns", "macro_sql": "{% macro bigquery__alter_relation_drop_columns(relation, drop_columns) %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n        {% for column in drop_columns %}\n          drop column {{ column.name }}{{ ',' if not loop.last }}\n        {% endfor %}\n\n  {%- endset -%}\n\n  {{ return(run_query(sql)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.261267, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_column_type": {"name": "bigquery__alter_column_type", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_column_type", "macro_sql": "{% macro bigquery__alter_column_type(relation, column_name, new_column_type) -%}\n  {#-- Changing a column's data type using a query requires you to scan the entire table.\n    The query charges can be significant if the table is very large.\n\n    https://cloud.google.com/bigquery/docs/manually-changing-schemas#changing_a_columns_data_type\n  #}\n  {% set relation_columns = get_columns_in_relation(relation) %}\n\n  {% set sql %}\n    select\n      {%- for col in relation_columns -%}\n        {% if col.column == column_name %}\n          CAST({{ col.quoted }} AS {{ new_column_type }}) AS {{ col.quoted }}\n        {%- else %}\n          {{ col.quoted }}\n        {%- endif %}\n        {%- if not loop.last %},{% endif -%}\n      {%- endfor %}\n    from {{ relation }}\n  {% endset %}\n\n  {% call statement('alter_column_type') %}\n    {{ create_table_as(False, relation, sql)}}\n  {%- endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_relation", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.263127, "supported_languages": null}, "macro.dbt_bigquery.bigquery__test_unique": {"name": "bigquery__test_unique", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__test_unique", "macro_sql": "{% macro bigquery__test_unique(model, column_name) %}\n\nwith dbt_test__target as (\n\n  select {{ column_name }} as unique_field\n  from {{ model }}\n  where {{ column_name }} is not null\n\n)\n\nselect\n    unique_field,\n    count(*) as n_records\n\nfrom dbt_test__target\ngroup by unique_field\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.263572, "supported_languages": null}, "macro.dbt_bigquery.bigquery__upload_file": {"name": "bigquery__upload_file", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__upload_file", "macro_sql": "{% macro bigquery__upload_file(local_file_path, database, table_schema, table_name) %}\n\n  {{ log(\"kwargs: \" ~ kwargs) }}\n\n  {% do adapter.upload_file(local_file_path, database, table_schema, table_name, kwargs=kwargs) %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.264412, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_csv_table": {"name": "bigquery__create_csv_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_csv_table", "macro_sql": "{% macro bigquery__create_csv_table(model, agate_table) %}\n    -- no-op\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2653, "supported_languages": null}, "macro.dbt_bigquery.bigquery__reset_csv_table": {"name": "bigquery__reset_csv_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__reset_csv_table", "macro_sql": "{% macro bigquery__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.265734, "supported_languages": null}, "macro.dbt_bigquery.bigquery__load_csv_rows": {"name": "bigquery__load_csv_rows", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__load_csv_rows", "macro_sql": "{% macro bigquery__load_csv_rows(model, agate_table) %}\n\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {{ adapter.load_dataframe(model['database'], model['schema'], model['alias'],\n  \t\t\t\t\t\t\tagate_table, column_override) }}\n\n  {% call statement() %}\n    alter table {{ this.render() }} set {{ bigquery_table_options(config, model) }}\n  {% endcall %}\n\n  {% if config.persist_relation_docs() and 'description' in model %}\n\n  \t{{ adapter.update_table_description(model['database'], model['schema'], model['alias'], model['description']) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_bigquery.bigquery_table_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.267669, "supported_languages": null}, "macro.dbt_bigquery.bigquery__handle_existing_table": {"name": "bigquery__handle_existing_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "unique_id": "macro.dbt_bigquery.bigquery__handle_existing_table", "macro_sql": "{% macro bigquery__handle_existing_table(full_refresh, old_relation) %}\n    {%- if full_refresh -%}\n      {{ adapter.drop_relation(old_relation) }}\n    {%- else -%}\n      {{ exceptions.relation_wrong_type(old_relation, 'view') }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.268973, "supported_languages": null}, "macro.dbt_bigquery.materialization_view_bigquery": {"name": "materialization_view_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "unique_id": "macro.dbt_bigquery.materialization_view_bigquery", "macro_sql": "{% materialization view, adapter='bigquery' -%}\n    -- grab current tables grants config for comparision later on\n    {% set grant_config = config.get('grants') %}\n\n    {% set to_return = create_or_replace_view() %}\n\n    {% set target_relation = this.incorporate(type='view') %}\n\n    {% do persist_docs(target_relation, model) %}\n\n    {% if config.get('grant_access_to') %}\n      {% for grant_target_dict in config.get('grant_access_to') %}\n        {% do adapter.grant_access_to(this, 'view', None, grant_target_dict) %}\n      {% endfor %}\n    {% endif %}\n\n    {% do return(to_return) %}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.create_or_replace_view", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.270711, "supported_languages": ["sql"]}, "macro.dbt_bigquery.materialization_table_bigquery": {"name": "materialization_table_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "unique_id": "macro.dbt_bigquery.materialization_table_bigquery", "macro_sql": "{% materialization table, adapter='bigquery', supported_languages=['sql', 'python']-%}\n\n  {%- set language = model['language'] -%}\n  {%- set identifier = model['alias'] -%}\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_not_as_table = (old_relation is not none and not old_relation.is_table) -%}\n  {%- set target_relation = api.Relation.create(database=database, schema=schema, identifier=identifier, type='table') -%}\n\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {{ run_hooks(pre_hooks) }}\n\n  {#\n      We only need to drop this thing if it is not a table.\n      If it _is_ already a table, then we can overwrite it without downtime\n      Unlike table -> view, no need for `--full-refresh`: dropping a view is no big deal\n  #}\n  {%- if exists_not_as_table -%}\n      {{ adapter.drop_relation(old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {%- set cluster_by = config.get('cluster_by', none) -%}\n  {% if not adapter.is_replaceable(old_relation, partition_by, cluster_by) %}\n    {% do log(\"Hard refreshing \" ~ old_relation ~ \" because it is not replaceable\") %}\n    {% do adapter.drop_relation(old_relation) %}\n  {% endif %}\n\n  -- build model\n  {%- call statement('main', language=language) -%}\n    {{ create_table_as(False, target_relation, compiled_code, language) }}\n  {%- endcall -%}\n\n  {{ run_hooks(post_hooks) }}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2781591, "supported_languages": ["sql", "python"]}, "macro.dbt_bigquery.py_write_table": {"name": "py_write_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "unique_id": "macro.dbt_bigquery.py_write_table", "macro_sql": "{% macro py_write_table(compiled_code, target_relation) %}\nfrom pyspark.sql import SparkSession\n\nspark = SparkSession.builder.appName('smallTest').getOrCreate()\n\nspark.conf.set(\"viewsEnabled\",\"true\")\nspark.conf.set(\"temporaryGcsBucket\",\"{{target.gcs_bucket}}\")\n\n{{ compiled_code }}\ndbt = dbtObj(spark.read.format(\"bigquery\").load)\ndf = model(dbt, spark)\n\n# COMMAND ----------\n# this is materialization code dbt generated, please do not modify\n\nimport pyspark\n# make sure pandas exists before using it\ntry:\n  import pandas\n  pandas_available = True\nexcept ImportError:\n  pandas_available = False\n\n# make sure pyspark.pandas exists before using it\ntry:\n  import pyspark.pandas\n  pyspark_pandas_api_available = True\nexcept ImportError:\n  pyspark_pandas_api_available = False\n\n# make sure databricks.koalas exists before using it\ntry:\n  import databricks.koalas\n  koalas_available = True\nexcept ImportError:\n  koalas_available = False\n\n# preferentially convert pandas DataFrames to pandas-on-Spark or Koalas DataFrames first\n# since they know how to convert pandas DataFrames better than `spark.createDataFrame(df)`\n# and converting from pandas-on-Spark to Spark DataFrame has no overhead\nif pyspark_pandas_api_available and pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = pyspark.pandas.frame.DataFrame(df)\nelif koalas_available and pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = databricks.koalas.frame.DataFrame(df)\n\n# convert to pyspark.sql.dataframe.DataFrame\nif isinstance(df, pyspark.sql.dataframe.DataFrame):\n  pass  # since it is already a Spark DataFrame\nelif pyspark_pandas_api_available and isinstance(df, pyspark.pandas.frame.DataFrame):\n  df = df.to_spark()\nelif koalas_available and isinstance(df, databricks.koalas.frame.DataFrame):\n  df = df.to_spark()\nelif pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = spark.createDataFrame(df)\nelse:\n  msg = f\"{type(df)} is not a supported type for dbt Python materialization\"\n  raise Exception(msg)\n\ndf.write \\\n  .mode(\"overwrite\") \\\n  .format(\"bigquery\") \\\n  .option(\"writeMethod\", \"direct\").option(\"writeDisposition\", 'WRITE_TRUNCATE') \\\n  .save(\"{{target_relation}}\")\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.278896, "supported_languages": null}, "macro.dbt_bigquery.materialization_copy_bigquery": {"name": "materialization_copy_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/copy.sql", "original_file_path": "macros/materializations/copy.sql", "unique_id": "macro.dbt_bigquery.materialization_copy_bigquery", "macro_sql": "{% materialization copy, adapter='bigquery' -%}\n\n  {# Setup #}\n  {{ run_hooks(pre_hooks) }}\n\n  {% set destination = this.incorporate(type='table') %}\n\n  {# there can be several ref() or source() according to BQ copy API docs #}\n  {# cycle over ref() and source() to create source tables array #}\n  {% set source_array = [] %}\n  {% for ref_table in model.refs %}\n    {{ source_array.append(ref(*ref_table)) }}\n  {% endfor %}\n\n  {% for src_table in model.sources %}\n    {{ source_array.append(source(*src_table)) }}\n  {% endfor %}\n\n  {# Call adapter copy_table function #}\n  {%- set result_str = adapter.copy_table(\n      source_array,\n      destination,\n      config.get('copy_materialization', default = 'table')) -%}\n\n  {{ store_result('main', response=result_str) }}\n\n  {# Clean up #}\n  {{ run_hooks(post_hooks) }}\n  {%- do apply_grants(target_relation, grant_config) -%}\n  {{ adapter.commit() }}\n\n  {{ return({'relations': [destination]}) }}\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2819252, "supported_languages": ["sql"]}, "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy": {"name": "dbt_bigquery_validate_get_incremental_strategy", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy", "macro_sql": "{% macro dbt_bigquery_validate_get_incremental_strategy(config) %}\n  {#-- Find and validate the incremental strategy #}\n  {%- set strategy = config.get(\"incremental_strategy\") or 'merge' -%}\n\n  {% set invalid_strategy_msg -%}\n    Invalid incremental strategy provided: {{ strategy }}\n    Expected one of: 'merge', 'insert_overwrite'\n  {%- endset %}\n  {% if strategy not in ['merge', 'insert_overwrite'] %}\n    {% do exceptions.raise_compiler_error(invalid_strategy_msg) %}\n  {% endif %}\n\n  {% do return(strategy) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.286817, "supported_languages": null}, "macro.dbt_bigquery.source_sql_with_partition": {"name": "source_sql_with_partition", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.source_sql_with_partition", "macro_sql": "{% macro source_sql_with_partition(partition_by, source_sql) %}\n\n  {%- if partition_by.time_ingestion_partitioning %}\n    {{ return(wrap_with_time_ingestion_partitioning_sql(partition_by, source_sql, False))  }}\n  {% else %}\n    {{ return(source_sql)  }}\n  {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.287596, "supported_languages": null}, "macro.dbt_bigquery.bq_create_table_as": {"name": "bq_create_table_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.bq_create_table_as", "macro_sql": "{% macro bq_create_table_as(partition_by, temporary, relation, compiled_code, language='sql') %}\n  {%- set _dbt_max_partition = declare_dbt_max_partition(this, partition_by, compiled_code, language) -%}\n  {% if partition_by.time_ingestion_partitioning and language == 'python' %}\n    {% do exceptions.raise_compiler_error(\n      \"Python models do not support ingestion time partitioning\"\n    ) %}\n  {% elif partition_by.time_ingestion_partitioning and language == 'sql' %}\n    {#-- Create the table before inserting data as ingestion time partitioned tables can't be created with the transformed data --#}\n    {% do run_query(create_table_as(temporary, relation, compiled_code)) %}\n    {{ return(_dbt_max_partition + bq_insert_into_ingestion_time_partitioned_table_sql(relation, compiled_code)) }}\n  {% else %}\n    {{ return(_dbt_max_partition + create_table_as(temporary, relation, compiled_code, language)) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.declare_dbt_max_partition", "macro.dbt.run_query", "macro.dbt.create_table_as", "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.2895339, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_build_sql": {"name": "bq_generate_incremental_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_build_sql", "macro_sql": "{% macro bq_generate_incremental_build_sql(\n    strategy, tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions, incremental_predicates\n) %}\n  {#-- if partitioned, use BQ scripting to get the range of partition values to be updated --#}\n  {% if strategy == 'insert_overwrite' %}\n\n    {% set build_sql = bq_generate_incremental_insert_overwrite_build_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n    ) %}\n\n  {% else %} {# strategy == 'merge' #}\n\n    {% set build_sql = bq_generate_incremental_merge_build_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, incremental_predicates\n    ) %}\n\n  {% endif %}\n\n  {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql", "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.291213, "supported_languages": null}, "macro.dbt_bigquery.materialization_incremental_bigquery": {"name": "materialization_incremental_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.materialization_incremental_bigquery", "macro_sql": "{% materialization incremental, adapter='bigquery', supported_languages=['sql', 'python'] -%}\n\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n  {%- set language = model['language'] %}\n\n  {%- set target_relation = this %}\n  {%- set existing_relation = load_relation(this) %}\n  {%- set tmp_relation = make_temp_relation(this) %}\n\n  {#-- Validate early so we don't run SQL if the strategy is invalid --#}\n  {% set strategy = dbt_bigquery_validate_get_incremental_strategy(config) -%}\n\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {%- set partitions = config.get('partitions', none) -%}\n  {%- set cluster_by = config.get('cluster_by', none) -%}\n\n  {% set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') %}\n  {% set incremental_predicates = config.get('predicates', default=none) or config.get('incremental_predicates', default=none) %}\n\n   -- grab current tables grants config for comparison later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  {% if partition_by.copy_partitions is true and strategy != 'insert_overwrite' %} {#-- We can't copy partitions with merge strategy --#}\n        {% set wrong_strategy_msg -%}\n        The 'copy_partitions' option requires the 'incremental_strategy' option to be set to 'insert_overwrite'.\n        {%- endset %}\n        {% do exceptions.raise_compiler_error(wrong_strategy_msg) %}\n\n  {% elif existing_relation is none %}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% elif existing_relation.is_view %}\n      {#-- There's no way to atomically replace a view with a table on BQ --#}\n      {{ adapter.drop_relation(existing_relation) }}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% elif full_refresh_mode %}\n      {#-- If the partition/cluster config has changed, then we must drop and recreate --#}\n      {% if not adapter.is_replaceable(existing_relation, partition_by, cluster_by) %}\n          {% do log(\"Hard refreshing \" ~ existing_relation ~ \" because it is not replaceable\") %}\n          {{ adapter.drop_relation(existing_relation) }}\n      {% endif %}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% else %}\n    {%- if language == 'python' and strategy == 'insert_overwrite' -%}\n      {#-- This lets us move forward assuming no python will be directly templated into a query --#}\n      {%- set python_unsupported_msg -%}\n        The 'insert_overwrite' strategy is not yet supported for python models.\n      {%- endset %}\n      {% do exceptions.raise_compiler_error(python_unsupported_msg) %}\n    {%- endif -%}\n\n    {% set tmp_relation_exists = false %}\n    {% if on_schema_change != 'ignore' or language == 'python' %}\n      {#-- Check first, since otherwise we may not build a temp table --#}\n      {#-- Python always needs to create a temp table --#}\n      {%- call statement('create_tmp_relation', language=language) -%}\n        {{ bq_create_table_as(partition_by, True, tmp_relation, compiled_code, language) }}\n      {%- endcall -%}\n      {% set tmp_relation_exists = true %}\n      {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n      {% set dest_columns = process_schema_changes(on_schema_change, tmp_relation, existing_relation) %}\n    {% endif %}\n\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n    {#--  Add time ingestion pseudo column to destination column as not part of the 'schema' but still need it for actual data insertion --#}\n    {% if partition_by.time_ingestion_partitioning %}\n      {% set dest_columns = adapter.add_time_ingestion_partition_column(partition_by, dest_columns) %}\n    {% endif %}\n\n    {% set build_sql = bq_generate_incremental_build_sql(\n        strategy, tmp_relation, target_relation, compiled_code, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, partition_by.copy_partitions, incremental_predicates\n    ) %}\n\n    {%- call statement('main') -%}\n      {{ build_sql }}\n    {% endcall %}\n\n    {%- if language == 'python' and tmp_relation -%}\n      {{ adapter.drop_relation(tmp_relation) }}\n    {%- endif -%}\n\n  {% endif %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.load_relation", "macro.dbt.make_temp_relation", "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.process_schema_changes", "macro.dbt_bigquery.bq_generate_incremental_build_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3016078, "supported_languages": ["sql", "python"]}, "macro.dbt_bigquery.bigquery__snapshot_hash_arguments": {"name": "bigquery__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__snapshot_hash_arguments", "macro_sql": "{% macro bigquery__snapshot_hash_arguments(args) -%}\n  to_hex(md5(concat({%- for arg in args -%}\n    coalesce(cast({{ arg }} as string), ''){% if not loop.last %}, '|',{% endif -%}\n  {%- endfor -%}\n  )))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3026109, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_columns": {"name": "bigquery__create_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_columns", "macro_sql": "{% macro bigquery__create_columns(relation, columns) %}\n  {{ adapter.alter_table_add_columns(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.30303, "supported_languages": null}, "macro.dbt_bigquery.bigquery__post_snapshot": {"name": "bigquery__post_snapshot", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__post_snapshot", "macro_sql": "{% macro bigquery__post_snapshot(staging_relation) %}\n  -- Clean up the snapshot temp table\n  {% do drop_relation(staging_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3033931, "supported_languages": null}, "macro.dbt_bigquery.bigquery__can_clone_table": {"name": "bigquery__can_clone_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/clone.sql", "original_file_path": "macros/materializations/clone.sql", "unique_id": "macro.dbt_bigquery.bigquery__can_clone_table", "macro_sql": "{% macro bigquery__can_clone_table() %}\n    {{ return(True) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3038678, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_or_replace_clone": {"name": "bigquery__create_or_replace_clone", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/clone.sql", "original_file_path": "macros/materializations/clone.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_or_replace_clone", "macro_sql": "{% macro bigquery__create_or_replace_clone(this_relation, defer_relation) %}\n    create or replace\n      table {{ this_relation }}\n      clone {{ defer_relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.304246, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql": {"name": "bq_generate_incremental_merge_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/merge.sql", "original_file_path": "macros/materializations/incremental_strategy/merge.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql", "macro_sql": "{% macro bq_generate_incremental_merge_build_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, incremental_predicates\n) %}\n    {%- set source_sql -%}\n        {%- if tmp_relation_exists -%}\n        (\n        select\n        {% if partition_by.time_ingestion_partitioning -%}\n        {{ partition_by.insertable_time_partitioning_field() }},\n        {%- endif -%}\n        * from {{ tmp_relation }}\n        )\n        {%- else -%} {#-- wrap sql in parens to make it a subquery --#}\n        (\n            {%- if partition_by.time_ingestion_partitioning -%}\n            {{ wrap_with_time_ingestion_partitioning_sql(partition_by, sql, True) }}\n            {%- else -%}\n            {{sql}}\n            {%- endif %}\n        )\n        {%- endif -%}\n    {%- endset -%}\n\n    {% set build_sql = get_merge_sql(target_relation, source_sql, unique_key, dest_columns, incremental_predicates) %}\n\n    {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.306397, "supported_languages": null}, "macro.dbt_bigquery.declare_dbt_max_partition": {"name": "declare_dbt_max_partition", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/common.sql", "original_file_path": "macros/materializations/incremental_strategy/common.sql", "unique_id": "macro.dbt_bigquery.declare_dbt_max_partition", "macro_sql": "{% macro declare_dbt_max_partition(relation, partition_by, compiled_code, language='sql') %}\n\n  {#-- TODO: revisit partitioning with python models --#}\n  {%- if '_dbt_max_partition' in compiled_code and language == 'sql' -%}\n\n    declare _dbt_max_partition {{ partition_by.data_type_for_partition() }} default (\n      select max({{ partition_by.field }}) from {{ this }}\n      where {{ partition_by.field }} is not null\n    );\n\n  {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3074958, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql": {"name": "bq_generate_incremental_insert_overwrite_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql", "macro_sql": "{% macro bq_generate_incremental_insert_overwrite_build_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n    {% if partition_by is none %}\n      {% set missing_partition_msg -%}\n      The 'insert_overwrite' strategy requires the `partition_by` config.\n      {%- endset %}\n      {% do exceptions.raise_compiler_error(missing_partition_msg) %}\n    {% endif %}\n\n    {% set build_sql = bq_insert_overwrite_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n    ) %}\n\n    {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.312791, "supported_languages": null}, "macro.dbt_bigquery.bq_copy_partitions": {"name": "bq_copy_partitions", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_copy_partitions", "macro_sql": "{% macro bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) %}\n\n  {% for partition in partitions %}\n    {% if partition_by.granularity == 'hour' %}\n      {% set partition = partition.strftime(\"%Y%m%d%H\") %}\n    {% elif partition_by.granularity == 'day' %}\n      {% set partition = partition.strftime(\"%Y%m%d\") %}\n    {% elif partition_by.granularity == 'month' %}\n      {% set partition = partition.strftime(\"%Y%m\") %}\n    {% elif partition_by.granularity == 'year' %}\n      {% set partition = partition.strftime(\"%Y\") %}\n    {% endif %}\n    {% set tmp_relation_partitioned = api.Relation.create(database=tmp_relation.database, schema=tmp_relation.schema, identifier=tmp_relation.table ~ '$' ~ partition, type=tmp_relation.type) %}\n    {% set target_relation_partitioned = api.Relation.create(database=target_relation.database, schema=target_relation.schema, identifier=target_relation.table ~ '$' ~ partition, type=target_relation.type) %}\n    {% do adapter.copy_table(tmp_relation_partitioned, target_relation_partitioned, \"table\") %}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.315904, "supported_languages": null}, "macro.dbt_bigquery.bq_insert_overwrite_sql": {"name": "bq_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_insert_overwrite_sql", "macro_sql": "{% macro bq_insert_overwrite_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n  {% if partitions is not none and partitions != [] %} {# static #}\n      {{ bq_static_insert_overwrite_sql(tmp_relation, target_relation, sql, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% else %} {# dynamic #}\n      {{ bq_dynamic_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_static_insert_overwrite_sql", "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3175209, "supported_languages": null}, "macro.dbt_bigquery.bq_static_insert_overwrite_sql": {"name": "bq_static_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_static_insert_overwrite_sql", "macro_sql": "{% macro bq_static_insert_overwrite_sql(\n    tmp_relation, target_relation, sql, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n\n      {% set predicate -%}\n          {{ partition_by.render_wrapped(alias='DBT_INTERNAL_DEST') }} in (\n              {{ partitions | join (', ') }}\n          )\n      {%- endset %}\n\n      {%- set source_sql -%}\n        (\n          {% if partition_by.time_ingestion_partitioning and tmp_relation_exists -%}\n          select\n            {{ partition_by.insertable_time_partitioning_field() }},\n            * from {{ tmp_relation }}\n          {% elif tmp_relation_exists -%}\n            select\n            * from {{ tmp_relation }}\n          {%- elif partition_by.time_ingestion_partitioning -%}\n            {{ wrap_with_time_ingestion_partitioning_sql(partition_by, sql, True) }}\n          {%- else -%}\n            {{sql}}\n          {%- endif -%}\n\n        )\n      {%- endset -%}\n\n      {% if copy_partitions %}\n          {% do bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) %}\n      {% else %}\n\n      {#-- In case we're putting the model SQL _directly_ into the MERGE statement,\n         we need to prepend the MERGE statement with the user-configured sql_header,\n         which may be needed to resolve that model SQL (e.g. referencing a variable or UDF in the header)\n         in the \"temporary table exists\" case, we save the model SQL result as a temp table first, wherein the\n         sql_header is included by the create_table_as macro.\n      #}\n      -- 1. run the merge statement\n      {{ get_insert_overwrite_merge_sql(target_relation, source_sql, dest_columns, [predicate], include_sql_header = not tmp_relation_exists) }};\n\n      {%- if tmp_relation_exists -%}\n      -- 2. clean up the temp table\n      drop table if exists {{ tmp_relation }};\n      {%- endif -%}\n\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt_bigquery.bq_copy_partitions", "macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.321087, "supported_languages": null}, "macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql": {"name": "bq_dynamic_copy_partitions_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql", "macro_sql": "{% macro bq_dynamic_copy_partitions_insert_overwrite_sql(\n  tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions\n  ) %}\n  {# We run temp table creation in a separated script to move to partitions copy #}\n  {%- call statement('create_tmp_relation_for_copy', language='sql') -%}\n    {{ bq_create_table_as(partition_by, True, tmp_relation, sql, 'sql')\n  }}\n  {%- endcall %}\n  {%- set partitions_sql -%}\n    select distinct {{ partition_by.render_wrapped() }}\n    from {{ tmp_relation }}\n  {%- endset -%}\n  {%- set partitions = run_query(partitions_sql).columns[0].values() -%}\n  {# We copy the partitions #}\n  {%- do bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) -%}\n  -- Clean up the temp table\n  drop table if exists {{ tmp_relation }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.run_query", "macro.dbt_bigquery.bq_copy_partitions"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.322788, "supported_languages": null}, "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql": {"name": "bq_dynamic_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql", "macro_sql": "{% macro bq_dynamic_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) %}\n  {%- if copy_partitions is true %}\n     {{ bq_dynamic_copy_partitions_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% else -%}\n      {% set predicate -%}\n          {{ partition_by.render_wrapped(alias='DBT_INTERNAL_DEST') }} in unnest(dbt_partitions_for_replacement)\n      {%- endset %}\n\n      {%- set source_sql -%}\n      (\n        select\n        {% if partition_by.time_ingestion_partitioning -%}\n        {{ partition_by.insertable_time_partitioning_field() }},\n        {%- endif -%}\n        * from {{ tmp_relation }}\n      )\n      {%- endset -%}\n\n      -- generated script to merge partitions into {{ target_relation }}\n      declare dbt_partitions_for_replacement array<{{ partition_by.data_type_for_partition() }}>;\n\n      {# have we already created the temp table to check for schema changes? #}\n      {% if not tmp_relation_exists %}\n       -- 1. create a temp table with model data\n        {{ bq_create_table_as(partition_by, True, tmp_relation, sql, 'sql') }}\n      {% else %}\n        -- 1. temp table already exists, we used it to check for schema changes\n      {% endif %}\n      {%- set partition_field = partition_by.time_partitioning_field() if partition_by.time_ingestion_partitioning else partition_by.render_wrapped() -%}\n\n      -- 2. define partitions to update\n      set (dbt_partitions_for_replacement) = (\n          select as struct\n              -- IGNORE NULLS: this needs to be aligned to _dbt_max_partition, which ignores null\n              array_agg(distinct {{ partition_field }} IGNORE NULLS)\n          from {{ tmp_relation }}\n      );\n\n      -- 3. run the merge statement\n      {{ get_insert_overwrite_merge_sql(target_relation, source_sql, dest_columns, [predicate]) }};\n\n      -- 4. clean up the temp table\n      drop table if exists {{ tmp_relation }}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.325773, "supported_languages": null}, "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql": {"name": "wrap_with_time_ingestion_partitioning_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro_sql": "{% macro wrap_with_time_ingestion_partitioning_sql(partition_by, sql, is_nested) %}\n\n  select TIMESTAMP({{ partition_by.field }}) as {{ partition_by.insertable_time_partitioning_field() }}, * EXCEPT({{ partition_by.field }}) from (\n    {{ sql }}\n  ){%- if not is_nested -%};{%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.328555, "supported_languages": null}, "macro.dbt_bigquery.get_quoted_with_types_csv": {"name": "get_quoted_with_types_csv", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.get_quoted_with_types_csv", "macro_sql": "{% macro get_quoted_with_types_csv(columns) %}\n    {% set quoted = [] %}\n    {% for col in columns -%}\n        {%- do quoted.append(adapter.quote(col.name) ~ \" \" ~ col.data_type) -%}\n    {%- endfor %}\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3296242, "supported_languages": null}, "macro.dbt_bigquery.columns_without_partition_fields_csv": {"name": "columns_without_partition_fields_csv", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.columns_without_partition_fields_csv", "macro_sql": "{% macro columns_without_partition_fields_csv(partition_config, columns) -%}\n  {%- set columns_no_partition = partition_config.reject_partition_field_column(columns) -%}\n  {% set columns_names = get_quoted_with_types_csv(columns_no_partition) %}\n  {{ return(columns_names) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.get_quoted_with_types_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3303208, "supported_languages": null}, "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql": {"name": "bq_insert_into_ingestion_time_partitioned_table_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql", "macro_sql": "{% macro bq_insert_into_ingestion_time_partitioned_table_sql(target_relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n  {{ sql_header if sql_header is not none }}\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {% set dest_columns = adapter.get_columns_in_relation(target_relation) %}\n  {%- set dest_columns_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n  insert into {{ target_relation }} ({{ partition_by.insertable_time_partitioning_field() }}, {{ dest_columns_csv }})\n    {{ wrap_with_time_ingestion_partitioning_sql(partition_by, sql, False) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3320131, "supported_languages": null}, "macro.dbt_bigquery.get_columns_with_types_in_query_sql": {"name": "get_columns_with_types_in_query_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.get_columns_with_types_in_query_sql", "macro_sql": "{% macro get_columns_with_types_in_query_sql(select_sql) %}\n  {% set sql %}\n    {%- set sql_header = config.get('sql_header', none) -%}\n    {{ sql_header if sql_header is not none }}\n    select * from (\n      {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n  {% endset %}\n  {{ return(adapter.get_columns_in_select_sql(sql)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3329191, "supported_languages": null}, "macro.dbt_bigquery.bigquery__except": {"name": "bigquery__except", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt_bigquery.bigquery__except", "macro_sql": "{% macro bigquery__except() %}\n\n    except distinct\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3332071, "supported_languages": null}, "macro.dbt_bigquery.bigquery__dateadd": {"name": "bigquery__dateadd", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt_bigquery.bigquery__dateadd", "macro_sql": "{% macro bigquery__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n        datetime_add(\n            cast( {{ from_date_or_timestamp }} as datetime),\n        interval {{ interval }} {{ datepart }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.33377, "supported_languages": null}, "macro.dbt_bigquery.bigquery__current_timestamp": {"name": "bigquery__current_timestamp", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__current_timestamp", "macro_sql": "{% macro bigquery__current_timestamp() -%}\n  current_timestamp()\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.334232, "supported_languages": null}, "macro.dbt_bigquery.bigquery__snapshot_string_as_time": {"name": "bigquery__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__snapshot_string_as_time", "macro_sql": "{% macro bigquery__snapshot_string_as_time(timestamp) -%}\n    {%- set result = 'TIMESTAMP(\"' ~ timestamp ~ '\")' -%}\n    {{ return(result) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.334722, "supported_languages": null}, "macro.dbt_bigquery.bigquery__current_timestamp_backcompat": {"name": "bigquery__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__current_timestamp_backcompat", "macro_sql": "{% macro bigquery__current_timestamp_backcompat() -%}\n  current_timestamp\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3349419, "supported_languages": null}, "macro.dbt_bigquery.bigquery__intersect": {"name": "bigquery__intersect", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt_bigquery.bigquery__intersect", "macro_sql": "{% macro bigquery__intersect() %}\n\n    intersect distinct\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.335226, "supported_languages": null}, "macro.dbt_bigquery.bigquery__escape_single_quotes": {"name": "bigquery__escape_single_quotes", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt_bigquery.bigquery__escape_single_quotes", "macro_sql": "{% macro bigquery__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\", \"\\\\'\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.335746, "supported_languages": null}, "macro.dbt_bigquery.bigquery__format_column": {"name": "bigquery__format_column", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__format_column", "macro_sql": "{% macro bigquery__format_column(column) -%}\n  {% set data_type = column.data_type %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.337606, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_empty_schema_sql": {"name": "bigquery__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_empty_schema_sql", "macro_sql": "{% macro bigquery__get_empty_schema_sql(columns) %}\n    {%- set col_err = [] -%}\n    {% for col in columns.values() %}\n      {%- if col['data_type'] is not defined -%}\n        {{ col_err.append(col['name']) }}\n      {%- endif -%}\n    {%- endfor -%}\n    {%- if (col_err | length) > 0 -%}\n      {{ exceptions.column_type_missing(column_names=col_err) }}\n    {%- endif -%}\n\n    {%- set columns = adapter.nest_column_data_types(columns) -%}\n    {{ return(dbt.default__get_empty_schema_sql(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.339185, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_select_subquery": {"name": "bigquery__get_select_subquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_select_subquery", "macro_sql": "{% macro bigquery__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.339686, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_column_names": {"name": "bigquery__get_column_names", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_column_names", "macro_sql": "{% macro bigquery__get_column_names() %}\n  {#- loop through nested user_provided_columns to get column names -#}\n    {%- set user_provided_columns = adapter.nest_column_data_types(model['columns']) -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3409941, "supported_languages": null}, "macro.dbt_bigquery.bigquery__right": {"name": "bigquery__right", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt_bigquery.bigquery__right", "macro_sql": "{% macro bigquery__right(string_text, length_expression) %}\n\n    case when {{ length_expression }} = 0\n        then ''\n    else\n        substr(\n            {{ string_text }},\n            -1 * ({{ length_expression }})\n        )\n    end\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.341686, "supported_languages": null}, "macro.dbt_bigquery.bigquery__listagg": {"name": "bigquery__listagg", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt_bigquery.bigquery__listagg", "macro_sql": "{% macro bigquery__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    string_agg(\n        {{ measure }},\n        {{ delimiter_text }}\n        {% if order_by_clause -%}\n        {{ order_by_clause }}\n        {%- endif %}\n        {% if limit_num -%}\n        limit {{ limit_num }}\n        {%- endif %}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.342678, "supported_languages": null}, "macro.dbt_bigquery.bigquery__datediff": {"name": "bigquery__datediff", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt_bigquery.bigquery__datediff", "macro_sql": "{% macro bigquery__datediff(first_date, second_date, datepart) -%}\n\n  {% if dbt_version[0] == 1 and dbt_version[2] >= 2 %}\n    {{ return(dbt.datediff(first_date, second_date, datepart)) }}\n  {% else %}\n\n    datetime_diff(\n        cast({{second_date}} as datetime),\n        cast({{first_date}} as datetime),\n        {{datepart}}\n    )\n\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.343908, "supported_languages": null}, "macro.dbt_bigquery.bigquery__safe_cast": {"name": "bigquery__safe_cast", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt_bigquery.bigquery__safe_cast", "macro_sql": "{% macro bigquery__safe_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.344361, "supported_languages": null}, "macro.dbt_bigquery.bigquery__hash": {"name": "bigquery__hash", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt_bigquery.bigquery__hash", "macro_sql": "{% macro bigquery__hash(field) -%}\n    to_hex({{dbt.default__hash(field)}})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.344797, "supported_languages": null}, "macro.dbt_bigquery.bigquery__position": {"name": "bigquery__position", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt_bigquery.bigquery__position", "macro_sql": "{% macro bigquery__position(substring_text, string_text) %}\n\n    strpos(\n        {{ string_text }},\n        {{ substring_text }}\n\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.345431, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_concat": {"name": "bigquery__array_concat", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_concat", "macro_sql": "{% macro bigquery__array_concat(array_1, array_2) -%}\n    array_concat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3458822, "supported_languages": null}, "macro.dbt_bigquery.bigquery__bool_or": {"name": "bigquery__bool_or", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt_bigquery.bigquery__bool_or", "macro_sql": "{% macro bigquery__bool_or(expression) -%}\n\n    logical_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3462431, "supported_languages": null}, "macro.dbt_bigquery.bigquery__split_part": {"name": "bigquery__split_part", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt_bigquery.bigquery__split_part", "macro_sql": "{% macro bigquery__split_part(string_text, delimiter_text, part_number) %}\n\n  {% if part_number >= 0 %}\n    split(\n        {{ string_text }},\n        {{ delimiter_text }}\n        )[safe_offset({{ part_number - 1 }})]\n  {% else %}\n    split(\n        {{ string_text }},\n        {{ delimiter_text }}\n        )[safe_offset(\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 1 + {{ part_number }}\n        )]\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.34775, "supported_languages": null}, "macro.dbt_bigquery.bigquery__date_trunc": {"name": "bigquery__date_trunc", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt_bigquery.bigquery__date_trunc", "macro_sql": "{% macro bigquery__date_trunc(datepart, date) -%}\n    timestamp_trunc(\n        cast({{date}} as timestamp),\n        {{datepart}}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.348341, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_construct": {"name": "bigquery__array_construct", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_construct", "macro_sql": "{% macro bigquery__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    [ {{ inputs|join(' , ') }} ]\n    {% else %}\n    ARRAY<{{data_type}}>[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.349183, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_append": {"name": "bigquery__array_append", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_append", "macro_sql": "{% macro bigquery__array_append(array, new_element) -%}\n    {{ array_concat(array, array_construct([new_element])) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.array_concat", "macro.dbt.array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.349739, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_show_grant_sql": {"name": "bigquery__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_show_grant_sql", "macro_sql": "{% macro bigquery__get_show_grant_sql(relation) %}\n    {% set location = adapter.get_dataset_location(relation) %}\n    {% set relation = relation.incorporate(location=location) %}\n\n    select privilege_type, grantee\n    from {{ relation.information_schema(\"OBJECT_PRIVILEGES\") }}\n    where object_schema = \"{{ relation.dataset }}\"\n      and object_name = \"{{ relation.identifier }}\"\n      -- filter out current user\n      and split(grantee, ':')[offset(1)] != session_user()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.351192, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_grant_sql": {"name": "bigquery__get_grant_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_grant_sql", "macro_sql": "\n\n\n{%- macro bigquery__get_grant_sql(relation, privilege, grantee) -%}\n    grant `{{ privilege }}` on {{ relation.type }} {{ relation }} to {{ '\\\"' + grantee|join('\\\", \\\"') + '\\\"' }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.351855, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_revoke_sql": {"name": "bigquery__get_revoke_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_revoke_sql", "macro_sql": "{%- macro bigquery__get_revoke_sql(relation, privilege, grantee) -%}\n    revoke `{{ privilege }}` on {{ relation.type }} {{ relation }} from {{ '\\\"' + grantee|join('\\\", \\\"') + '\\\"' }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.352499, "supported_languages": null}, "macro.dbt_bigquery.bigquery__resolve_model_name": {"name": "bigquery__resolve_model_name", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt_bigquery.bigquery__resolve_model_name", "macro_sql": "{% macro bigquery__resolve_model_name(input_model_name) -%}\n    {{ input_model_name | string | replace('`', '') | replace('\"', '\\\"') }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.35316, "supported_languages": null}, "macro.dbt.run_hooks": {"name": "run_hooks", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.run_hooks", "macro_sql": "{% macro run_hooks(hooks, inside_transaction=True) %}\n  {% for hook in hooks | selectattr('transaction', 'equalto', inside_transaction)  %}\n    {% if not inside_transaction and loop.first %}\n      {% call statement(auto_begin=inside_transaction) %}\n        commit;\n      {% endcall %}\n    {% endif %}\n    {% set rendered = render(hook.get('sql')) | trim %}\n    {% if (rendered | length) > 0 %}\n      {% call statement(auto_begin=inside_transaction) %}\n        {{ rendered }}\n      {% endcall %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.355726, "supported_languages": null}, "macro.dbt.make_hook_config": {"name": "make_hook_config", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.make_hook_config", "macro_sql": "{% macro make_hook_config(sql, inside_transaction) %}\n    {{ tojson({\"sql\": sql, \"transaction\": inside_transaction}) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.356266, "supported_languages": null}, "macro.dbt.before_begin": {"name": "before_begin", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.before_begin", "macro_sql": "{% macro before_begin(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.356679, "supported_languages": null}, "macro.dbt.in_transaction": {"name": "in_transaction", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.in_transaction", "macro_sql": "{% macro in_transaction(sql) %}\n    {{ make_hook_config(sql, inside_transaction=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.357079, "supported_languages": null}, "macro.dbt.after_commit": {"name": "after_commit", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.after_commit", "macro_sql": "{% macro after_commit(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.357474, "supported_languages": null}, "macro.dbt.set_sql_header": {"name": "set_sql_header", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.set_sql_header", "macro_sql": "{% macro set_sql_header(config) -%}\n  {{ config.set('sql_header', caller()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.358338, "supported_languages": null}, "macro.dbt.should_full_refresh": {"name": "should_full_refresh", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_full_refresh", "macro_sql": "{% macro should_full_refresh() %}\n  {% set config_full_refresh = config.get('full_refresh') %}\n  {% if config_full_refresh is none %}\n    {% set config_full_refresh = flags.FULL_REFRESH %}\n  {% endif %}\n  {% do return(config_full_refresh) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.359152, "supported_languages": null}, "macro.dbt.should_store_failures": {"name": "should_store_failures", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_store_failures", "macro_sql": "{% macro should_store_failures() %}\n  {% set config_store_failures = config.get('store_failures') %}\n  {% if config_store_failures is none %}\n    {% set config_store_failures = flags.STORE_FAILURES %}\n  {% endif %}\n  {% do return(config_store_failures) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3600771, "supported_languages": null}, "macro.dbt.snapshot_merge_sql": {"name": "snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.snapshot_merge_sql", "macro_sql": "{% macro snapshot_merge_sql(target, source, insert_cols) -%}\n  {{ adapter.dispatch('snapshot_merge_sql', 'dbt')(target, source, insert_cols) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.361063, "supported_languages": null}, "macro.dbt.default__snapshot_merge_sql": {"name": "default__snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.default__snapshot_merge_sql", "macro_sql": "{% macro default__snapshot_merge_sql(target, source, insert_cols) -%}\n    {%- set insert_cols_csv = insert_cols | join(', ') -%}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n    using {{ source }} as DBT_INTERNAL_SOURCE\n    on DBT_INTERNAL_SOURCE.dbt_scd_id = DBT_INTERNAL_DEST.dbt_scd_id\n\n    when matched\n     and DBT_INTERNAL_DEST.dbt_valid_to is null\n     and DBT_INTERNAL_SOURCE.dbt_change_type in ('update', 'delete')\n        then update\n        set dbt_valid_to = DBT_INTERNAL_SOURCE.dbt_valid_to\n\n    when not matched\n     and DBT_INTERNAL_SOURCE.dbt_change_type = 'insert'\n        then insert ({{ insert_cols_csv }})\n        values ({{ insert_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.361758, "supported_languages": null}, "macro.dbt.strategy_dispatch": {"name": "strategy_dispatch", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.strategy_dispatch", "macro_sql": "{% macro strategy_dispatch(name) -%}\n{% set original_name = name %}\n  {% if '.' in name %}\n    {% set package_name, name = name.split(\".\", 1) %}\n  {% else %}\n    {% set package_name = none %}\n  {% endif %}\n\n  {% if package_name is none %}\n    {% set package_context = context %}\n  {% elif package_name in context %}\n    {% set package_context = context[package_name] %}\n  {% else %}\n    {% set error_msg %}\n        Could not find package '{{package_name}}', called with '{{original_name}}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n\n  {%- set search_name = 'snapshot_' ~ name ~ '_strategy' -%}\n\n  {% if search_name not in package_context %}\n    {% set error_msg %}\n        The specified strategy macro '{{name}}' was not found in package '{{ package_name }}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n  {{ return(package_context[search_name]) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.368963, "supported_languages": null}, "macro.dbt.snapshot_hash_arguments": {"name": "snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_hash_arguments", "macro_sql": "{% macro snapshot_hash_arguments(args) -%}\n  {{ adapter.dispatch('snapshot_hash_arguments', 'dbt')(args) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.369526, "supported_languages": null}, "macro.dbt.default__snapshot_hash_arguments": {"name": "default__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_hash_arguments", "macro_sql": "{% macro default__snapshot_hash_arguments(args) -%}\n    md5({%- for arg in args -%}\n        coalesce(cast({{ arg }} as varchar ), '')\n        {% if not loop.last %} || '|' || {% endif %}\n    {%- endfor -%})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3701692, "supported_languages": null}, "macro.dbt.snapshot_timestamp_strategy": {"name": "snapshot_timestamp_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_timestamp_strategy", "macro_sql": "{% macro snapshot_timestamp_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set primary_key = config['unique_key'] %}\n    {% set updated_at = config['updated_at'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n\n    {#/*\n        The snapshot relation might not have an {{ updated_at }} value if the\n        snapshot strategy is changed from `check` to `timestamp`. We\n        should use a dbt-created column for the comparison in the snapshot\n        table instead of assuming that the user-supplied {{ updated_at }}\n        will be present in the historical data.\n\n        See https://github.com/dbt-labs/dbt-core/issues/2350\n    */ #}\n    {% set row_changed_expr -%}\n        ({{ snapshotted_rel }}.dbt_valid_from < {{ current_rel }}.{{ updated_at }})\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3720472, "supported_languages": null}, "macro.dbt.snapshot_string_as_time": {"name": "snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_string_as_time", "macro_sql": "{% macro snapshot_string_as_time(timestamp) -%}\n    {{ adapter.dispatch('snapshot_string_as_time', 'dbt')(timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__snapshot_string_as_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3725, "supported_languages": null}, "macro.dbt.default__snapshot_string_as_time": {"name": "default__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_string_as_time", "macro_sql": "{% macro default__snapshot_string_as_time(timestamp) %}\n    {% do exceptions.raise_not_implemented(\n        'snapshot_string_as_time macro not implemented for adapter '+adapter.type()\n    ) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3729851, "supported_languages": null}, "macro.dbt.snapshot_check_all_get_existing_columns": {"name": "snapshot_check_all_get_existing_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_all_get_existing_columns", "macro_sql": "{% macro snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) -%}\n    {%- if not target_exists -%}\n        {#-- no table yet -> return whatever the query does --#}\n        {{ return((false, query_columns)) }}\n    {%- endif -%}\n\n    {#-- handle any schema changes --#}\n    {%- set target_relation = adapter.get_relation(database=node.database, schema=node.schema, identifier=node.alias) -%}\n\n    {% if check_cols_config == 'all' %}\n        {%- set query_columns = get_columns_in_query(node['compiled_code']) -%}\n\n    {% elif check_cols_config is iterable and (check_cols_config | length) > 0 %}\n        {#-- query for proper casing/quoting, to support comparison below --#}\n        {%- set select_check_cols_from_target -%}\n            {#-- N.B. The whitespace below is necessary to avoid edge case issue with comments --#}\n            {#-- See: https://github.com/dbt-labs/dbt-core/issues/6781 --#}\n            select {{ check_cols_config | join(', ') }} from (\n                {{ node['compiled_code'] }}\n            ) subq\n        {%- endset -%}\n        {% set query_columns = get_columns_in_query(select_check_cols_from_target) %}\n\n    {% else %}\n        {% do exceptions.raise_compiler_error(\"Invalid value for 'check_cols': \" ~ check_cols_config) %}\n    {% endif %}\n\n    {%- set existing_cols = adapter.get_columns_in_relation(target_relation) | map(attribute = 'name') | list -%}\n    {%- set ns = namespace() -%} {#-- handle for-loop scoping with a namespace --#}\n    {%- set ns.column_added = false -%}\n\n    {%- set intersection = [] -%}\n    {%- for col in query_columns -%}\n        {%- if col in existing_cols -%}\n            {%- do intersection.append(adapter.quote(col)) -%}\n        {%- else -%}\n            {% set ns.column_added = true %}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return((ns.column_added, intersection)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3766139, "supported_languages": null}, "macro.dbt.snapshot_check_strategy": {"name": "snapshot_check_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_strategy", "macro_sql": "{% macro snapshot_check_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set check_cols_config = config['check_cols'] %}\n    {% set primary_key = config['unique_key'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n    {% set updated_at = config.get('updated_at', snapshot_get_time()) %}\n\n    {% set column_added = false %}\n\n    {% set column_added, check_cols = snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) %}\n\n    {%- set row_changed_expr -%}\n    (\n    {%- if column_added -%}\n        {{ get_true_sql() }}\n    {%- else -%}\n    {%- for col in check_cols -%}\n        {{ snapshotted_rel }}.{{ col }} != {{ current_rel }}.{{ col }}\n        or\n        (\n            (({{ snapshotted_rel }}.{{ col }} is null) and not ({{ current_rel }}.{{ col }} is null))\n            or\n            ((not {{ snapshotted_rel }}.{{ col }} is null) and ({{ current_rel }}.{{ col }} is null))\n        )\n        {%- if not loop.last %} or {% endif -%}\n    {%- endfor -%}\n    {%- endif -%}\n    )\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time", "macro.dbt.snapshot_check_all_get_existing_columns", "macro.dbt.get_true_sql", "macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3800378, "supported_languages": null}, "macro.dbt.create_columns": {"name": "create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.create_columns", "macro_sql": "{% macro create_columns(relation, columns) %}\n  {{ adapter.dispatch('create_columns', 'dbt')(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.387718, "supported_languages": null}, "macro.dbt.default__create_columns": {"name": "default__create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__create_columns", "macro_sql": "{% macro default__create_columns(relation, columns) %}\n  {% for column in columns %}\n    {% call statement() %}\n      alter table {{ relation }} add column \"{{ column.name }}\" {{ column.data_type }};\n    {% endcall %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.388505, "supported_languages": null}, "macro.dbt.post_snapshot": {"name": "post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.post_snapshot", "macro_sql": "{% macro post_snapshot(staging_relation) %}\n  {{ adapter.dispatch('post_snapshot', 'dbt')(staging_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.38896, "supported_languages": null}, "macro.dbt.default__post_snapshot": {"name": "default__post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__post_snapshot", "macro_sql": "{% macro default__post_snapshot(staging_relation) %}\n    {# no-op #}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.389214, "supported_languages": null}, "macro.dbt.get_true_sql": {"name": "get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.get_true_sql", "macro_sql": "{% macro get_true_sql() %}\n  {{ adapter.dispatch('get_true_sql', 'dbt')() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_true_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.3896089, "supported_languages": null}, "macro.dbt.default__get_true_sql": {"name": "default__get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__get_true_sql", "macro_sql": "{% macro default__get_true_sql() %}\n    {{ return('TRUE') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.389933, "supported_languages": null}, "macro.dbt.snapshot_staging_table": {"name": "snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.snapshot_staging_table", "macro_sql": "{% macro snapshot_staging_table(strategy, source_sql, target_relation) -%}\n  {{ adapter.dispatch('snapshot_staging_table', 'dbt')(strategy, source_sql, target_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_staging_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.390479, "supported_languages": null}, "macro.dbt.default__snapshot_staging_table": {"name": "default__snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__snapshot_staging_table", "macro_sql": "{% macro default__snapshot_staging_table(strategy, source_sql, target_relation) -%}\n\n    with snapshot_query as (\n\n        {{ source_sql }}\n\n    ),\n\n    snapshotted_data as (\n\n        select *,\n            {{ strategy.unique_key }} as dbt_unique_key\n\n        from {{ target_relation }}\n        where dbt_valid_to is null\n\n    ),\n\n    insertions_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to,\n            {{ strategy.scd_id }} as dbt_scd_id\n\n        from snapshot_query\n    ),\n\n    updates_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            {{ strategy.updated_at }} as dbt_valid_to\n\n        from snapshot_query\n    ),\n\n    {%- if strategy.invalidate_hard_deletes %}\n\n    deletes_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key\n        from snapshot_query\n    ),\n    {% endif %}\n\n    insertions as (\n\n        select\n            'insert' as dbt_change_type,\n            source_data.*\n\n        from insertions_source_data as source_data\n        left outer join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where snapshotted_data.dbt_unique_key is null\n           or (\n                snapshotted_data.dbt_unique_key is not null\n            and (\n                {{ strategy.row_changed }}\n            )\n        )\n\n    ),\n\n    updates as (\n\n        select\n            'update' as dbt_change_type,\n            source_data.*,\n            snapshotted_data.dbt_scd_id\n\n        from updates_source_data as source_data\n        join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where (\n            {{ strategy.row_changed }}\n        )\n    )\n\n    {%- if strategy.invalidate_hard_deletes -%}\n    ,\n\n    deletes as (\n\n        select\n            'delete' as dbt_change_type,\n            source_data.*,\n            {{ snapshot_get_time() }} as dbt_valid_from,\n            {{ snapshot_get_time() }} as dbt_updated_at,\n            {{ snapshot_get_time() }} as dbt_valid_to,\n            snapshotted_data.dbt_scd_id\n\n        from snapshotted_data\n        left join deletes_source_data as source_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where source_data.dbt_unique_key is null\n    )\n    {%- endif %}\n\n    select * from insertions\n    union all\n    select * from updates\n    {%- if strategy.invalidate_hard_deletes %}\n    union all\n    select * from deletes\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.392715, "supported_languages": null}, "macro.dbt.build_snapshot_table": {"name": "build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_table", "macro_sql": "{% macro build_snapshot_table(strategy, sql) -%}\n  {{ adapter.dispatch('build_snapshot_table', 'dbt')(strategy, sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__build_snapshot_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.393313, "supported_languages": null}, "macro.dbt.default__build_snapshot_table": {"name": "default__build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__build_snapshot_table", "macro_sql": "{% macro default__build_snapshot_table(strategy, sql) %}\n\n    select *,\n        {{ strategy.scd_id }} as dbt_scd_id,\n        {{ strategy.updated_at }} as dbt_updated_at,\n        {{ strategy.updated_at }} as dbt_valid_from,\n        nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to\n    from (\n        {{ sql }}\n    ) sbq\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.393984, "supported_languages": null}, "macro.dbt.build_snapshot_staging_table": {"name": "build_snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_staging_table", "macro_sql": "{% macro build_snapshot_staging_table(strategy, sql, target_relation) %}\n    {% set temp_relation = make_temp_relation(target_relation) %}\n\n    {% set select = snapshot_staging_table(strategy, sql, target_relation) %}\n\n    {% call statement('build_snapshot_staging_relation') %}\n        {{ create_table_as(True, temp_relation, select) }}\n    {% endcall %}\n\n    {% do return(temp_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_temp_relation", "macro.dbt.snapshot_staging_table", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.395107, "supported_languages": null}, "macro.dbt.materialization_snapshot_default": {"name": "materialization_snapshot_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot.sql", "original_file_path": "macros/materializations/snapshots/snapshot.sql", "unique_id": "macro.dbt.materialization_snapshot_default", "macro_sql": "{% materialization snapshot, default %}\n  {%- set config = model['config'] -%}\n\n  {%- set target_table = model.get('alias', model.get('name')) -%}\n\n  {%- set strategy_name = config.get('strategy') -%}\n  {%- set unique_key = config.get('unique_key') %}\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {% set target_relation_exists, target_relation = get_or_create_relation(\n          database=model.database,\n          schema=model.schema,\n          identifier=target_table,\n          type='table') -%}\n\n  {%- if not target_relation.is_table -%}\n    {% do exceptions.relation_wrong_type(target_relation, 'table') %}\n  {%- endif -%}\n\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set strategy_macro = strategy_dispatch(strategy_name) %}\n  {% set strategy = strategy_macro(model, \"snapshotted_data\", \"source_data\", config, target_relation_exists) %}\n\n  {% if not target_relation_exists %}\n\n      {% set build_sql = build_snapshot_table(strategy, model['compiled_code']) %}\n      {% set final_sql = create_table_as(False, target_relation, build_sql) %}\n\n  {% else %}\n\n      {{ adapter.valid_snapshot_target(target_relation) }}\n\n      {% set staging_table = build_snapshot_staging_table(strategy, sql, target_relation) %}\n\n      -- this may no-op if the database does not require column expansion\n      {% do adapter.expand_target_column_types(from_relation=staging_table,\n                                               to_relation=target_relation) %}\n\n      {% set missing_columns = adapter.get_missing_columns(staging_table, target_relation)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% do create_columns(target_relation, missing_columns) %}\n\n      {% set source_columns = adapter.get_columns_in_relation(staging_table)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% set quoted_source_columns = [] %}\n      {% for column in source_columns %}\n        {% do quoted_source_columns.append(adapter.quote(column.name)) %}\n      {% endfor %}\n\n      {% set final_sql = snapshot_merge_sql(\n            target = target_relation,\n            source = staging_table,\n            insert_cols = quoted_source_columns\n         )\n      %}\n\n  {% endif %}\n\n  {% call statement('main') %}\n      {{ final_sql }}\n  {% endcall %}\n\n  {% set should_revoke = should_revoke(target_relation_exists, full_refresh_mode=False) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if not target_relation_exists %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {% if staging_table is defined %}\n      {% do post_snapshot(staging_table) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.get_or_create_relation", "macro.dbt.run_hooks", "macro.dbt.strategy_dispatch", "macro.dbt.build_snapshot_table", "macro.dbt.create_table_as", "macro.dbt.build_snapshot_staging_table", "macro.dbt.create_columns", "macro.dbt.snapshot_merge_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes", "macro.dbt.post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.408583, "supported_languages": ["sql"]}, "macro.dbt.materialization_test_default": {"name": "materialization_test_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/test.sql", "original_file_path": "macros/materializations/tests/test.sql", "unique_id": "macro.dbt.materialization_test_default", "macro_sql": "{%- materialization test, default -%}\n\n  {% set relations = [] %}\n\n  {% if should_store_failures() %}\n\n    {% set identifier = model['alias'] %}\n    {% set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n    {% set target_relation = api.Relation.create(\n        identifier=identifier, schema=schema, database=database, type='table') -%} %}\n\n    {% if old_relation %}\n        {% do adapter.drop_relation(old_relation) %}\n    {% endif %}\n\n    {% call statement(auto_begin=True) %}\n        {{ create_table_as(False, target_relation, sql) }}\n    {% endcall %}\n\n    {% do relations.append(target_relation) %}\n\n    {% set main_sql %}\n        select *\n        from {{ target_relation }}\n    {% endset %}\n\n    {{ adapter.commit() }}\n\n  {% else %}\n\n      {% set main_sql = sql %}\n\n  {% endif %}\n\n  {% set limit = config.get('limit') %}\n  {% set fail_calc = config.get('fail_calc') %}\n  {% set warn_if = config.get('warn_if') %}\n  {% set error_if = config.get('error_if') %}\n\n  {% call statement('main', fetch_result=True) -%}\n\n    {{ get_test_sql(main_sql, fail_calc, warn_if, error_if, limit)}}\n\n  {%- endcall %}\n\n  {{ return({'relations': relations}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.should_store_failures", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.413467, "supported_languages": ["sql"]}, "macro.dbt.get_test_sql": {"name": "get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.get_test_sql", "macro_sql": "{% macro get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n  {{ adapter.dispatch('get_test_sql', 'dbt')(main_sql, fail_calc, warn_if, error_if, limit) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4146812, "supported_languages": null}, "macro.dbt.default__get_test_sql": {"name": "default__get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.default__get_test_sql", "macro_sql": "{% macro default__get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n    select\n      {{ fail_calc }} as failures,\n      {{ fail_calc }} {{ warn_if }} as should_warn,\n      {{ fail_calc }} {{ error_if }} as should_error\n    from (\n      {{ main_sql }}\n      {{ \"limit \" ~ limit if limit != none }}\n    ) dbt_internal_test\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.415576, "supported_languages": null}, "macro.dbt.get_where_subquery": {"name": "get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.get_where_subquery", "macro_sql": "{% macro get_where_subquery(relation) -%}\n    {% do return(adapter.dispatch('get_where_subquery', 'dbt')(relation)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_where_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.416852, "supported_languages": null}, "macro.dbt.default__get_where_subquery": {"name": "default__get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.default__get_where_subquery", "macro_sql": "{% macro default__get_where_subquery(relation) -%}\n    {% set where = config.get('where', '') %}\n    {% if where %}\n        {%- set filtered -%}\n            (select * from {{ relation }} where {{ where }}) dbt_subquery\n        {%- endset -%}\n        {% do return(filtered) %}\n    {%- else -%}\n        {% do return(relation) %}\n    {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.417962, "supported_languages": null}, "macro.dbt.get_quoted_csv": {"name": "get_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_quoted_csv", "macro_sql": "{% macro get_quoted_csv(column_names) %}\n\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote(col)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.421174, "supported_languages": null}, "macro.dbt.diff_columns": {"name": "diff_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_columns", "macro_sql": "{% macro diff_columns(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% set source_names = source_columns | map(attribute = 'column') | list %}\n  {% set target_names = target_columns | map(attribute = 'column') | list %}\n\n   {# --check whether the name attribute exists in the target - this does not perform a data type check #}\n   {% for sc in source_columns %}\n     {% if sc.name not in target_names %}\n        {{ result.append(sc) }}\n     {% endif %}\n   {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.422634, "supported_languages": null}, "macro.dbt.diff_column_data_types": {"name": "diff_column_data_types", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_column_data_types", "macro_sql": "{% macro diff_column_data_types(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% for sc in source_columns %}\n    {% set tc = target_columns | selectattr(\"name\", \"equalto\", sc.name) | list | first %}\n    {% if tc %}\n      {% if sc.data_type != tc.data_type and not sc.can_expand_to(other_column=tc) %}\n        {{ result.append( { 'column_name': tc.name, 'new_type': sc.data_type } ) }}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4243681, "supported_languages": null}, "macro.dbt.get_merge_update_columns": {"name": "get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_merge_update_columns", "macro_sql": "{% macro get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {{ return(adapter.dispatch('get_merge_update_columns', 'dbt')(merge_update_columns, merge_exclude_columns, dest_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.424994, "supported_languages": null}, "macro.dbt.default__get_merge_update_columns": {"name": "default__get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.default__get_merge_update_columns", "macro_sql": "{% macro default__get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {%- set default_cols = dest_columns | map(attribute=\"quoted\") | list -%}\n\n  {%- if merge_update_columns and merge_exclude_columns -%}\n    {{ exceptions.raise_compiler_error(\n        'Model cannot specify merge_update_columns and merge_exclude_columns. Please update model to use only one config'\n    )}}\n  {%- elif merge_update_columns -%}\n    {%- set update_columns = merge_update_columns -%}\n  {%- elif merge_exclude_columns -%}\n    {%- set update_columns = [] -%}\n    {%- for column in dest_columns -%}\n      {% if column.column | lower not in merge_exclude_columns | map(\"lower\") | list %}\n        {%- do update_columns.append(column.quoted) -%}\n      {% endif %}\n    {%- endfor -%}\n  {%- else -%}\n    {%- set update_columns = default_cols -%}\n  {%- endif -%}\n\n  {{ return(update_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.426899, "supported_languages": null}, "macro.dbt.get_merge_sql": {"name": "get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_merge_sql", "macro_sql": "{% macro get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n   -- back compat for old kwarg name\n  {% set incremental_predicates = kwargs.get('predicates', incremental_predicates) %}\n  {{ adapter.dispatch('get_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.437699, "supported_languages": null}, "macro.dbt.default__get_merge_sql": {"name": "default__get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_merge_sql", "macro_sql": "{% macro default__get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n    {%- set predicates = [] if incremental_predicates is none else [] + incremental_predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set merge_update_columns = config.get('merge_update_columns') -%}\n    {%- set merge_exclude_columns = config.get('merge_exclude_columns') -%}\n    {%- set update_columns = get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not mapping and unique_key is not string %}\n            {% for key in unique_key %}\n                {% set this_key_match %}\n                    DBT_INTERNAL_SOURCE.{{ key }} = DBT_INTERNAL_DEST.{{ key }}\n                {% endset %}\n                {% do predicates.append(this_key_match) %}\n            {% endfor %}\n        {% else %}\n            {% set unique_key_match %}\n                DBT_INTERNAL_SOURCE.{{ unique_key }} = DBT_INTERNAL_DEST.{{ unique_key }}\n            {% endset %}\n            {% do predicates.append(unique_key_match) %}\n        {% endif %}\n    {% else %}\n        {% do predicates.append('FALSE') %}\n    {% endif %}\n\n    {{ sql_header if sql_header is not none }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on {{\"(\" ~ predicates | join(\") and (\") ~ \")\"}}\n\n    {% if unique_key %}\n    when matched then update set\n        {% for column_name in update_columns -%}\n            {{ column_name }} = DBT_INTERNAL_SOURCE.{{ column_name }}\n            {%- if not loop.last %}, {%- endif %}\n        {%- endfor %}\n    {% endif %}\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt.get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.44198, "supported_languages": null}, "macro.dbt.get_delete_insert_merge_sql": {"name": "get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_delete_insert_merge_sql", "macro_sql": "{% macro get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n  {{ adapter.dispatch('get_delete_insert_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.442692, "supported_languages": null}, "macro.dbt.default__get_delete_insert_merge_sql": {"name": "default__get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_delete_insert_merge_sql", "macro_sql": "{% macro default__get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not string %}\n            delete from {{target }}\n            using {{ source }}\n            where (\n                {% for key in unique_key %}\n                    {{ source }}.{{ key }} = {{ target }}.{{ key }}\n                    {{ \"and \" if not loop.last}}\n                {% endfor %}\n                {% if incremental_predicates %}\n                    {% for predicate in incremental_predicates %}\n                        and {{ predicate }}\n                    {% endfor %}\n                {% endif %}\n            );\n        {% else %}\n            delete from {{ target }}\n            where (\n                {{ unique_key }}) in (\n                select ({{ unique_key }})\n                from {{ source }}\n            )\n            {%- if incremental_predicates %}\n                {% for predicate in incremental_predicates %}\n                    and {{ predicate }}\n                {% endfor %}\n            {%- endif -%};\n\n        {% endif %}\n    {% endif %}\n\n    insert into {{ target }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ source }}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.445285, "supported_languages": null}, "macro.dbt.get_insert_overwrite_merge_sql": {"name": "get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_insert_overwrite_merge_sql", "macro_sql": "{% macro get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header=false) -%}\n  {{ adapter.dispatch('get_insert_overwrite_merge_sql', 'dbt')(target, source, dest_columns, predicates, include_sql_header) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.446, "supported_languages": null}, "macro.dbt.default__get_insert_overwrite_merge_sql": {"name": "default__get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_insert_overwrite_merge_sql", "macro_sql": "{% macro default__get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header) -%}\n    {#-- The only time include_sql_header is True: --#}\n    {#-- BigQuery + insert_overwrite strategy + \"static\" partitions config --#}\n    {#-- We should consider including the sql header at the materialization level instead --#}\n\n    {%- set predicates = [] if predicates is none else [] + predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {{ sql_header if sql_header is not none and include_sql_header }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on FALSE\n\n    when not matched by source\n        {% if predicates %} and {{ predicates | join(' and ') }} {% endif %}\n        then delete\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.447767, "supported_languages": null}, "macro.dbt.is_incremental": {"name": "is_incremental", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/is_incremental.sql", "original_file_path": "macros/materializations/models/incremental/is_incremental.sql", "unique_id": "macro.dbt.is_incremental", "macro_sql": "{% macro is_incremental() %}\n    {#-- do not run introspective queries in parsing #}\n    {% if not execute %}\n        {{ return(False) }}\n    {% else %}\n        {% set relation = adapter.get_relation(this.database, this.schema, this.table) %}\n        {{ return(relation is not none\n                  and relation.type == 'table'\n                  and model.config.materialized == 'incremental'\n                  and not should_full_refresh()) }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4494421, "supported_languages": null}, "macro.dbt.get_incremental_append_sql": {"name": "get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_append_sql", "macro_sql": "{% macro get_incremental_append_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_append_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4512708, "supported_languages": null}, "macro.dbt.default__get_incremental_append_sql": {"name": "default__get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_append_sql", "macro_sql": "{% macro default__get_incremental_append_sql(arg_dict) %}\n\n  {% do return(get_insert_into_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_into_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.451901, "supported_languages": null}, "macro.dbt.get_incremental_delete_insert_sql": {"name": "get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_delete_insert_sql", "macro_sql": "{% macro get_incremental_delete_insert_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_delete_insert_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_delete_insert_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.452394, "supported_languages": null}, "macro.dbt.default__get_incremental_delete_insert_sql": {"name": "default__get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_delete_insert_sql", "macro_sql": "{% macro default__get_incremental_delete_insert_sql(arg_dict) %}\n\n  {% do return(get_delete_insert_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.453192, "supported_languages": null}, "macro.dbt.get_incremental_merge_sql": {"name": "get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_merge_sql", "macro_sql": "{% macro get_incremental_merge_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_merge_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.453685, "supported_languages": null}, "macro.dbt.default__get_incremental_merge_sql": {"name": "default__get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_merge_sql", "macro_sql": "{% macro default__get_incremental_merge_sql(arg_dict) %}\n\n  {% do return(get_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.454457, "supported_languages": null}, "macro.dbt.get_incremental_insert_overwrite_sql": {"name": "get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_insert_overwrite_sql", "macro_sql": "{% macro get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_insert_overwrite_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4549592, "supported_languages": null}, "macro.dbt.default__get_incremental_insert_overwrite_sql": {"name": "default__get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_insert_overwrite_sql", "macro_sql": "{% macro default__get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {% do return(get_insert_overwrite_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.455651, "supported_languages": null}, "macro.dbt.get_incremental_default_sql": {"name": "get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_default_sql", "macro_sql": "{% macro get_incremental_default_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_default_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_default_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.456146, "supported_languages": null}, "macro.dbt.default__get_incremental_default_sql": {"name": "default__get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_default_sql", "macro_sql": "{% macro default__get_incremental_default_sql(arg_dict) %}\n\n  {% do return(get_incremental_append_sql(arg_dict)) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.456558, "supported_languages": null}, "macro.dbt.get_insert_into_sql": {"name": "get_insert_into_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_insert_into_sql", "macro_sql": "{% macro get_insert_into_sql(target_relation, temp_relation, dest_columns) %}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    insert into {{ target_relation }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ temp_relation }}\n    )\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4572842, "supported_languages": null}, "macro.dbt.materialization_incremental_default": {"name": "materialization_incremental_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/incremental.sql", "original_file_path": "macros/materializations/models/incremental/incremental.sql", "unique_id": "macro.dbt.materialization_incremental_default", "macro_sql": "{% materialization incremental, default -%}\n\n  -- relations\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') -%}\n  {%- set temp_relation = make_temp_relation(target_relation)-%}\n  {%- set intermediate_relation = make_intermediate_relation(target_relation)-%}\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n\n  -- configs\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()  or existing_relation.is_view) -%}\n  {%- set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') -%}\n\n  -- the temp_ and backup_ relations should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation. This has to happen before\n  -- BEGIN, in a separate transaction\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation)-%}\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n   -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set to_drop = [] %}\n\n  {% if existing_relation is none %}\n      {% set build_sql = get_create_table_as_sql(False, target_relation, sql) %}\n  {% elif full_refresh_mode %}\n      {% set build_sql = get_create_table_as_sql(False, intermediate_relation, sql) %}\n      {% set need_swap = true %}\n  {% else %}\n    {% do run_query(get_create_table_as_sql(True, temp_relation, sql)) %}\n    {% do adapter.expand_target_column_types(\n             from_relation=temp_relation,\n             to_relation=target_relation) %}\n    {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n    {% set dest_columns = process_schema_changes(on_schema_change, temp_relation, existing_relation) %}\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n\n    {#-- Get the incremental_strategy, the macro to use for the strategy, and build the sql --#}\n    {% set incremental_strategy = config.get('incremental_strategy') or 'default' %}\n    {% set incremental_predicates = config.get('predicates', none) or config.get('incremental_predicates', none) %}\n    {% set strategy_sql_macro_func = adapter.get_incremental_strategy_macro(context, incremental_strategy) %}\n    {% set strategy_arg_dict = ({'target_relation': target_relation, 'temp_relation': temp_relation, 'unique_key': unique_key, 'dest_columns': dest_columns, 'incremental_predicates': incremental_predicates }) %}\n    {% set build_sql = strategy_sql_macro_func(strategy_arg_dict) %}\n\n  {% endif %}\n\n  {% call statement(\"main\") %}\n      {{ build_sql }}\n  {% endcall %}\n\n  {% if need_swap %}\n      {% do adapter.rename_relation(target_relation, backup_relation) %}\n      {% do adapter.rename_relation(intermediate_relation, target_relation) %}\n      {% do to_drop.append(backup_relation) %}\n  {% endif %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if existing_relation is none or existing_relation.is_view or should_full_refresh() %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {% do adapter.commit() %}\n\n  {% for rel in to_drop %}\n      {% do adapter.drop_relation(rel) %}\n  {% endfor %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_temp_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.should_full_refresh", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.get_create_table_as_sql", "macro.dbt.run_query", "macro.dbt.process_schema_changes", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.469283, "supported_languages": ["sql"]}, "macro.dbt.incremental_validate_on_schema_change": {"name": "incremental_validate_on_schema_change", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.incremental_validate_on_schema_change", "macro_sql": "{% macro incremental_validate_on_schema_change(on_schema_change, default='ignore') %}\n\n   {% if on_schema_change not in ['sync_all_columns', 'append_new_columns', 'fail', 'ignore'] %}\n\n     {% set log_message = 'Invalid value for on_schema_change (%s) specified. Setting default value of %s.' % (on_schema_change, default) %}\n     {% do log(log_message) %}\n\n     {{ return(default) }}\n\n   {% else %}\n\n     {{ return(on_schema_change) }}\n\n   {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4794319, "supported_languages": null}, "macro.dbt.check_for_schema_changes": {"name": "check_for_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.check_for_schema_changes", "macro_sql": "{% macro check_for_schema_changes(source_relation, target_relation) %}\n\n  {% set schema_changed = False %}\n\n  {%- set source_columns = adapter.get_columns_in_relation(source_relation) -%}\n  {%- set target_columns = adapter.get_columns_in_relation(target_relation) -%}\n  {%- set source_not_in_target = diff_columns(source_columns, target_columns) -%}\n  {%- set target_not_in_source = diff_columns(target_columns, source_columns) -%}\n\n  {% set new_target_types = diff_column_data_types(source_columns, target_columns) %}\n\n  {% if source_not_in_target != [] %}\n    {% set schema_changed = True %}\n  {% elif target_not_in_source != [] or new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% elif new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% endif %}\n\n  {% set changes_dict = {\n    'schema_changed': schema_changed,\n    'source_not_in_target': source_not_in_target,\n    'target_not_in_source': target_not_in_source,\n    'source_columns': source_columns,\n    'target_columns': target_columns,\n    'new_target_types': new_target_types\n  } %}\n\n  {% set msg %}\n    In {{ target_relation }}:\n        Schema changed: {{ schema_changed }}\n        Source columns not in target: {{ source_not_in_target }}\n        Target columns not in source: {{ target_not_in_source }}\n        New column types: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(msg) %}\n\n  {{ return(changes_dict) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.diff_columns", "macro.dbt.diff_column_data_types"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4826062, "supported_languages": null}, "macro.dbt.sync_column_schemas": {"name": "sync_column_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.sync_column_schemas", "macro_sql": "{% macro sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n  {%- set add_to_target_arr = schema_changes_dict['source_not_in_target'] -%}\n\n  {%- if on_schema_change == 'append_new_columns'-%}\n     {%- if add_to_target_arr | length > 0 -%}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, none) -%}\n     {%- endif -%}\n\n  {% elif on_schema_change == 'sync_all_columns' %}\n     {%- set remove_from_target_arr = schema_changes_dict['target_not_in_source'] -%}\n     {%- set new_target_types = schema_changes_dict['new_target_types'] -%}\n\n     {% if add_to_target_arr | length > 0 or remove_from_target_arr | length > 0 %}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, remove_from_target_arr) -%}\n     {% endif %}\n\n     {% if new_target_types != [] %}\n       {% for ntt in new_target_types %}\n         {% set column_name = ntt['column_name'] %}\n         {% set new_type = ntt['new_type'] %}\n         {% do alter_column_type(target_relation, column_name, new_type) %}\n       {% endfor %}\n     {% endif %}\n\n  {% endif %}\n\n  {% set schema_change_message %}\n    In {{ target_relation }}:\n        Schema change approach: {{ on_schema_change }}\n        Columns added: {{ add_to_target_arr }}\n        Columns removed: {{ remove_from_target_arr }}\n        Data types changed: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(schema_change_message) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_relation_add_remove_columns", "macro.dbt.alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.485973, "supported_languages": null}, "macro.dbt.process_schema_changes": {"name": "process_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.process_schema_changes", "macro_sql": "{% macro process_schema_changes(on_schema_change, source_relation, target_relation) %}\n\n    {% if on_schema_change == 'ignore' %}\n\n     {{ return({}) }}\n\n    {% else %}\n\n      {% set schema_changes_dict = check_for_schema_changes(source_relation, target_relation) %}\n\n      {% if schema_changes_dict['schema_changed'] %}\n\n        {% if on_schema_change == 'fail' %}\n\n          {% set fail_msg %}\n              The source and target schemas on this incremental model are out of sync!\n              They can be reconciled in several ways:\n                - set the `on_schema_change` config to either append_new_columns or sync_all_columns, depending on your situation.\n                - Re-run the incremental model with `full_refresh: True` to update the target schema.\n                - update the schema manually and re-run the process.\n\n              Additional troubleshooting context:\n                 Source columns not in target: {{ schema_changes_dict['source_not_in_target'] }}\n                 Target columns not in source: {{ schema_changes_dict['target_not_in_source'] }}\n                 New column types: {{ schema_changes_dict['new_target_types'] }}\n          {% endset %}\n\n          {% do exceptions.raise_compiler_error(fail_msg) %}\n\n        {# -- unless we ignore, run the sync operation per the config #}\n        {% else %}\n\n          {% do sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n        {% endif %}\n\n      {% endif %}\n\n      {{ return(schema_changes_dict['source_columns']) }}\n\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.check_for_schema_changes", "macro.dbt.sync_column_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.4883149, "supported_languages": null}, "macro.dbt.materialization_materialized_view_default": {"name": "materialization_materialized_view_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/materialized_view.sql", "unique_id": "macro.dbt.materialization_materialized_view_default", "macro_sql": "{% materialization materialized_view, default %}\n    {% set existing_relation = load_cached_relation(this) %}\n    {% set target_relation = this.incorporate(type=this.MaterializedView) %}\n    {% set intermediate_relation = make_intermediate_relation(target_relation) %}\n    {% set backup_relation_type = target_relation.MaterializedView if existing_relation is none else existing_relation.type %}\n    {% set backup_relation = make_backup_relation(target_relation, backup_relation_type) %}\n\n    {{ materialized_view_setup(backup_relation, intermediate_relation, pre_hooks) }}\n\n        {% set build_sql = materialized_view_get_build_sql(existing_relation, target_relation, backup_relation, intermediate_relation) %}\n\n        {% if build_sql == '' %}\n            {{ materialized_view_execute_no_op(target_relation) }}\n        {% else %}\n            {{ materialized_view_execute_build_sql(build_sql, existing_relation, target_relation, post_hooks) }}\n        {% endif %}\n\n    {{ materialized_view_teardown(backup_relation, intermediate_relation, post_hooks) }}\n\n    {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.materialized_view_setup", "macro.dbt.materialized_view_get_build_sql", "macro.dbt.materialized_view_execute_no_op", "macro.dbt.materialized_view_execute_build_sql", "macro.dbt.materialized_view_teardown"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.497903, "supported_languages": ["sql"]}, "macro.dbt.materialized_view_setup": {"name": "materialized_view_setup", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_setup", "macro_sql": "{% macro materialized_view_setup(backup_relation, intermediate_relation, pre_hooks) %}\n\n    -- backup_relation and intermediate_relation should not already exist in the database\n    -- it's possible these exist because of a previous run that exited unexpectedly\n    {% set preexisting_backup_relation = load_cached_relation(backup_relation) %}\n    {% set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) %}\n\n    -- drop the temp relations if they exist already in the database\n    {{ drop_relation_if_exists(preexisting_backup_relation) }}\n    {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n\n    {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.498914, "supported_languages": null}, "macro.dbt.materialized_view_teardown": {"name": "materialized_view_teardown", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_teardown", "macro_sql": "{% macro materialized_view_teardown(backup_relation, intermediate_relation, post_hooks) %}\n\n    -- drop the temp relations if they exist to leave the database clean for the next run\n    {{ drop_relation_if_exists(backup_relation) }}\n    {{ drop_relation_if_exists(intermediate_relation) }}\n\n    {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.499573, "supported_languages": null}, "macro.dbt.materialized_view_get_build_sql": {"name": "materialized_view_get_build_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_get_build_sql", "macro_sql": "{% macro materialized_view_get_build_sql(existing_relation, target_relation, backup_relation, intermediate_relation) %}\n\n    {% set full_refresh_mode = should_full_refresh() %}\n\n    -- determine the scenario we're in: create, full_refresh, alter, refresh data\n    {% if existing_relation is none %}\n        {% set build_sql = get_create_materialized_view_as_sql(target_relation, sql) %}\n    {% elif full_refresh_mode or not existing_relation.is_materialized_view %}\n        {% set build_sql = get_replace_materialized_view_as_sql(target_relation, sql, existing_relation, backup_relation, intermediate_relation) %}\n    {% else %}\n\n        -- get config options\n        {% set on_configuration_change = config.get('on_configuration_change') %}\n        {% set configuration_changes = get_materialized_view_configuration_changes(existing_relation, config) %}\n\n        {% if configuration_changes is none %}\n            {% set build_sql = refresh_materialized_view(target_relation) %}\n\n        {% elif on_configuration_change == 'apply' %}\n            {% set build_sql = get_alter_materialized_view_as_sql(target_relation, configuration_changes, sql, existing_relation, backup_relation, intermediate_relation) %}\n        {% elif on_configuration_change == 'continue' %}\n            {% set build_sql = '' %}\n            {{ exceptions.warn(\"Configuration changes were identified and `on_configuration_change` was set to `continue` for `\" ~ target_relation ~ \"`\") }}\n        {% elif on_configuration_change == 'fail' %}\n            {{ exceptions.raise_fail_fast_error(\"Configuration changes were identified and `on_configuration_change` was set to `fail` for `\" ~ target_relation ~ \"`\") }}\n\n        {% else %}\n            -- this only happens if the user provides a value other than `apply`, 'skip', 'fail'\n            {{ exceptions.raise_compiler_error(\"Unexpected configuration scenario\") }}\n\n        {% endif %}\n\n    {% endif %}\n\n    {% do return(build_sql) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.get_create_materialized_view_as_sql", "macro.dbt.get_replace_materialized_view_as_sql", "macro.dbt.get_materialized_view_configuration_changes", "macro.dbt.refresh_materialized_view", "macro.dbt.get_alter_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.502984, "supported_languages": null}, "macro.dbt.materialized_view_execute_no_op": {"name": "materialized_view_execute_no_op", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_execute_no_op", "macro_sql": "{% macro materialized_view_execute_no_op(target_relation) %}\n    {% do store_raw_result(\n        name=\"main\",\n        message=\"skip \" ~ target_relation,\n        code=\"skip\",\n        rows_affected=\"-1\"\n    ) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.503595, "supported_languages": null}, "macro.dbt.materialized_view_execute_build_sql": {"name": "materialized_view_execute_build_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_execute_build_sql", "macro_sql": "{% macro materialized_view_execute_build_sql(build_sql, existing_relation, target_relation, post_hooks) %}\n\n    -- `BEGIN` happens here:\n    {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n    {% set grant_config = config.get('grants') %}\n\n    {% call statement(name=\"main\") %}\n        {{ build_sql }}\n    {% endcall %}\n\n    {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n    {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n    {% do persist_docs(target_relation, model) %}\n\n    {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n    {{ adapter.commit() }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.505374, "supported_languages": null}, "macro.dbt.get_materialized_view_configuration_changes": {"name": "get_materialized_view_configuration_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/get_materialized_view_configuration_changes.sql", "original_file_path": "macros/materializations/models/materialized_view/get_materialized_view_configuration_changes.sql", "unique_id": "macro.dbt.get_materialized_view_configuration_changes", "macro_sql": "{% macro get_materialized_view_configuration_changes(existing_relation, new_config) %}\n    /* {#\n    It's recommended that configuration changes be formatted as follows:\n    {\"<change_category>\": [{\"action\": \"<name>\", \"context\": ...}]}\n\n    For example:\n    {\n        \"indexes\": [\n            {\"action\": \"drop\", \"context\": \"index_abc\"},\n            {\"action\": \"create\", \"context\": {\"columns\": [\"column_1\", \"column_2\"], \"type\": \"hash\", \"unique\": True}},\n        ],\n    }\n\n    Either way, `get_materialized_view_configuration_changes` needs to align with `get_alter_materialized_view_as_sql`.\n    #} */\n    {{- log('Determining configuration changes on: ' ~ existing_relation) -}}\n    {%- do return(adapter.dispatch('get_materialized_view_configuration_changes', 'dbt')(existing_relation, new_config)) -%}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_materialized_view_configuration_changes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5065222, "supported_languages": null}, "macro.dbt.default__get_materialized_view_configuration_changes": {"name": "default__get_materialized_view_configuration_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/get_materialized_view_configuration_changes.sql", "original_file_path": "macros/materializations/models/materialized_view/get_materialized_view_configuration_changes.sql", "unique_id": "macro.dbt.default__get_materialized_view_configuration_changes", "macro_sql": "{% macro default__get_materialized_view_configuration_changes(existing_relation, new_config) %}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.506937, "supported_languages": null}, "macro.dbt.get_alter_materialized_view_as_sql": {"name": "get_alter_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/alter_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/alter_materialized_view.sql", "unique_id": "macro.dbt.get_alter_materialized_view_as_sql", "macro_sql": "{% macro get_alter_materialized_view_as_sql(\n    relation,\n    configuration_changes,\n    sql,\n    existing_relation,\n    backup_relation,\n    intermediate_relation\n) %}\n    {{- log('Applying ALTER to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_alter_materialized_view_as_sql', 'dbt')(\n        relation,\n        configuration_changes,\n        sql,\n        existing_relation,\n        backup_relation,\n        intermediate_relation\n    ) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_alter_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.508084, "supported_languages": null}, "macro.dbt.default__get_alter_materialized_view_as_sql": {"name": "default__get_alter_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/alter_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/alter_materialized_view.sql", "unique_id": "macro.dbt.default__get_alter_materialized_view_as_sql", "macro_sql": "{% macro default__get_alter_materialized_view_as_sql(\n    relation,\n    configuration_changes,\n    sql,\n    existing_relation,\n    backup_relation,\n    intermediate_relation\n) %}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.508584, "supported_languages": null}, "macro.dbt.refresh_materialized_view": {"name": "refresh_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/refresh_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/refresh_materialized_view.sql", "unique_id": "macro.dbt.refresh_materialized_view", "macro_sql": "{% macro refresh_materialized_view(relation) %}\n    {{- log('Applying REFRESH to: ' ~ relation) -}}\n    {{- adapter.dispatch('refresh_materialized_view', 'dbt')(relation) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__refresh_materialized_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5093482, "supported_languages": null}, "macro.dbt.default__refresh_materialized_view": {"name": "default__refresh_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/refresh_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/refresh_materialized_view.sql", "unique_id": "macro.dbt.default__refresh_materialized_view", "macro_sql": "{% macro default__refresh_materialized_view(relation) %}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.509718, "supported_languages": null}, "macro.dbt.get_replace_materialized_view_as_sql": {"name": "get_replace_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/replace_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/replace_materialized_view.sql", "unique_id": "macro.dbt.get_replace_materialized_view_as_sql", "macro_sql": "{% macro get_replace_materialized_view_as_sql(relation, sql, existing_relation, backup_relation, intermediate_relation) %}\n    {{- log('Applying REPLACE to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_replace_materialized_view_as_sql', 'dbt')(relation, sql, existing_relation, backup_relation, intermediate_relation) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_replace_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5107388, "supported_languages": null}, "macro.dbt.default__get_replace_materialized_view_as_sql": {"name": "default__get_replace_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/replace_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/replace_materialized_view.sql", "unique_id": "macro.dbt.default__get_replace_materialized_view_as_sql", "macro_sql": "{% macro default__get_replace_materialized_view_as_sql(relation, sql, existing_relation, backup_relation, intermediate_relation) %}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.511225, "supported_languages": null}, "macro.dbt.get_create_materialized_view_as_sql": {"name": "get_create_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/create_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/create_materialized_view.sql", "unique_id": "macro.dbt.get_create_materialized_view_as_sql", "macro_sql": "{% macro get_create_materialized_view_as_sql(relation, sql) -%}\n    {{- log('Applying CREATE to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_create_materialized_view_as_sql', 'dbt')(relation, sql) -}}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.512118, "supported_languages": null}, "macro.dbt.default__get_create_materialized_view_as_sql": {"name": "default__get_create_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view/create_materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view/create_materialized_view.sql", "unique_id": "macro.dbt.default__get_create_materialized_view_as_sql", "macro_sql": "{% macro default__get_create_materialized_view_as_sql(relation, sql) -%}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.512514, "supported_languages": null}, "macro.dbt.can_clone_table": {"name": "can_clone_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/can_clone_table.sql", "original_file_path": "macros/materializations/models/clone/can_clone_table.sql", "unique_id": "macro.dbt.can_clone_table", "macro_sql": "{% macro can_clone_table() %}\n    {{ return(adapter.dispatch('can_clone_table', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__can_clone_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.51316, "supported_languages": null}, "macro.dbt.default__can_clone_table": {"name": "default__can_clone_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/can_clone_table.sql", "original_file_path": "macros/materializations/models/clone/can_clone_table.sql", "unique_id": "macro.dbt.default__can_clone_table", "macro_sql": "{% macro default__can_clone_table() %}\n    {{ return(False) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5137181, "supported_languages": null}, "macro.dbt.create_or_replace_clone": {"name": "create_or_replace_clone", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/create_or_replace_clone.sql", "original_file_path": "macros/materializations/models/clone/create_or_replace_clone.sql", "unique_id": "macro.dbt.create_or_replace_clone", "macro_sql": "{% macro create_or_replace_clone(this_relation, defer_relation) %}\n    {{ return(adapter.dispatch('create_or_replace_clone', 'dbt')(this_relation, defer_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_or_replace_clone"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.514868, "supported_languages": null}, "macro.dbt.default__create_or_replace_clone": {"name": "default__create_or_replace_clone", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/create_or_replace_clone.sql", "original_file_path": "macros/materializations/models/clone/create_or_replace_clone.sql", "unique_id": "macro.dbt.default__create_or_replace_clone", "macro_sql": "{% macro default__create_or_replace_clone(this_relation, defer_relation) %}\n    create or replace table {{ this_relation }} clone {{ defer_relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.515276, "supported_languages": null}, "macro.dbt.materialization_clone_default": {"name": "materialization_clone_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/clone.sql", "original_file_path": "macros/materializations/models/clone/clone.sql", "unique_id": "macro.dbt.materialization_clone_default", "macro_sql": "{%- materialization clone, default -%}\n\n  {%- set relations = {'relations': []} -%}\n\n  {%- if not defer_relation -%}\n      -- nothing to do\n      {{ log(\"No relation found in state manifest for \" ~ model.unique_id, info=True) }}\n      {{ return(relations) }}\n  {%- endif -%}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n\n  {%- if existing_relation and not flags.FULL_REFRESH -%}\n      -- noop!\n      {{ log(\"Relation \" ~ existing_relation ~ \" already exists\", info=True) }}\n      {{ return(relations) }}\n  {%- endif -%}\n\n  {%- set other_existing_relation = load_cached_relation(defer_relation) -%}\n\n  -- If this is a database that can do zero-copy cloning of tables, and the other relation is a table, then this will be a table\n  -- Otherwise, this will be a view\n\n  {% set can_clone_table = can_clone_table() %}\n\n  {%- if other_existing_relation and other_existing_relation.type == 'table' and can_clone_table -%}\n\n      {%- set target_relation = this.incorporate(type='table') -%}\n      {% if existing_relation is not none and not existing_relation.is_table %}\n        {{ log(\"Dropping relation \" ~ existing_relation ~ \" because it is of type \" ~ existing_relation.type) }}\n        {{ drop_relation_if_exists(existing_relation) }}\n      {% endif %}\n\n      -- as a general rule, data platforms that can clone tables can also do atomic 'create or replace'\n      {% call statement('main') %}\n          {{ create_or_replace_clone(target_relation, defer_relation) }}\n      {% endcall %}\n\n      {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n      {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n      {% do persist_docs(target_relation, model) %}\n\n      {{ return({'relations': [target_relation]}) }}\n\n  {%- else -%}\n\n      {%- set target_relation = this.incorporate(type='view') -%}\n\n      -- reuse the view materialization\n      -- TODO: support actual dispatch for materialization macros\n      -- Tracking ticket: https://github.com/dbt-labs/dbt-core/issues/7799\n      {% set search_name = \"materialization_view_\" ~ adapter.type() %}\n      {% if not search_name in context %}\n          {% set search_name = \"materialization_view_default\" %}\n      {% endif %}\n      {% set materialization_macro = context[search_name] %}\n      {% set relations = materialization_macro() %}\n      {{ return(relations) }}\n\n  {%- endif -%}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.can_clone_table", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.create_or_replace_clone", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.522739, "supported_languages": ["sql"]}, "macro.dbt.get_table_columns_and_constraints": {"name": "get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_table_columns_and_constraints", "macro_sql": "{%- macro get_table_columns_and_constraints() -%}\n  {{ adapter.dispatch('get_table_columns_and_constraints', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.525023, "supported_languages": null}, "macro.dbt.default__get_table_columns_and_constraints": {"name": "default__get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_table_columns_and_constraints", "macro_sql": "{% macro default__get_table_columns_and_constraints() -%}\n  {{ return(table_columns_and_constraints()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.525368, "supported_languages": null}, "macro.dbt.table_columns_and_constraints": {"name": "table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.table_columns_and_constraints", "macro_sql": "{% macro table_columns_and_constraints() %}\n  {# loop through user_provided_columns to create DDL with data types and constraints #}\n    {%- set raw_column_constraints = adapter.render_raw_columns_constraints(raw_columns=model['columns']) -%}\n    {%- set raw_model_constraints = adapter.render_raw_model_constraints(raw_constraints=model['constraints']) -%}\n    (\n    {% for c in raw_column_constraints -%}\n      {{ c }}{{ \",\" if not loop.last or raw_model_constraints }}\n    {% endfor %}\n    {% for c in raw_model_constraints -%}\n        {{ c }}{{ \",\" if not loop.last }}\n    {% endfor -%}\n    )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.526767, "supported_languages": null}, "macro.dbt.get_assert_columns_equivalent": {"name": "get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_assert_columns_equivalent", "macro_sql": "\n\n{%- macro get_assert_columns_equivalent(sql) -%}\n  {{ adapter.dispatch('get_assert_columns_equivalent', 'dbt')(sql) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.527215, "supported_languages": null}, "macro.dbt.default__get_assert_columns_equivalent": {"name": "default__get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_assert_columns_equivalent", "macro_sql": "{% macro default__get_assert_columns_equivalent(sql) -%}\n  {{ return(assert_columns_equivalent(sql)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5275872, "supported_languages": null}, "macro.dbt.assert_columns_equivalent": {"name": "assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.assert_columns_equivalent", "macro_sql": "{% macro assert_columns_equivalent(sql) %}\n\n  {#-- First ensure the user has defined 'columns' in yaml specification --#}\n  {%- set user_defined_columns = model['columns'] -%}\n  {%- if not user_defined_columns -%}\n      {{ exceptions.raise_contract_error([], []) }}\n  {%- endif -%}\n\n  {#-- Obtain the column schema provided by sql file. #}\n  {%- set sql_file_provided_columns = get_column_schema_from_query(sql, config.get('sql_header', none)) -%}\n  {#--Obtain the column schema provided by the schema file by generating an 'empty schema' query from the model's columns. #}\n  {%- set schema_file_provided_columns = get_column_schema_from_query(get_empty_schema_sql(user_defined_columns)) -%}\n\n  {#-- create dictionaries with name and formatted data type and strings for exception #}\n  {%- set sql_columns = format_columns(sql_file_provided_columns) -%}\n  {%- set yaml_columns = format_columns(schema_file_provided_columns)  -%}\n\n  {%- if sql_columns|length != yaml_columns|length -%}\n    {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n  {%- endif -%}\n\n  {%- for sql_col in sql_columns -%}\n    {%- set yaml_col = [] -%}\n    {%- for this_col in yaml_columns -%}\n      {%- if this_col['name'] == sql_col['name'] -%}\n        {%- do yaml_col.append(this_col) -%}\n        {%- break -%}\n      {%- endif -%}\n    {%- endfor -%}\n    {%- if not yaml_col -%}\n      {#-- Column with name not found in yaml #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n    {%- if sql_col['formatted'] != yaml_col[0]['formatted'] -%}\n      {#-- Column data types don't match #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n  {%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_column_schema_from_query", "macro.dbt.get_empty_schema_sql", "macro.dbt.format_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.530842, "supported_languages": null}, "macro.dbt.format_columns": {"name": "format_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.format_columns", "macro_sql": "{% macro format_columns(columns) %}\n  {% set formatted_columns = [] %}\n  {% for column in columns %}\n    {%- set formatted_column = adapter.dispatch('format_column', 'dbt')(column) -%}\n    {%- do formatted_columns.append(formatted_column) -%}\n  {% endfor %}\n  {{ return(formatted_columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__format_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.531849, "supported_languages": null}, "macro.dbt.default__format_column": {"name": "default__format_column", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__format_column", "macro_sql": "{% macro default__format_column(column) -%}\n  {% set data_type = column.dtype %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.532741, "supported_languages": null}, "macro.dbt.materialization_table_default": {"name": "materialization_table_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/table.sql", "original_file_path": "macros/materializations/models/table/table.sql", "unique_id": "macro.dbt.materialization_table_default", "macro_sql": "{% materialization table, default %}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') %}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n      See ../view/view.sql for more information about this relation.\n  */\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_table_as_sql(False, intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  {% if existing_relation is not none %}\n     /* Do the equivalent of rename_if_exists. 'existing_relation' could have been dropped\n        since the variable was first set. */\n    {% set existing_relation = load_cached_relation(existing_relation) %}\n    {% if existing_relation is not none %}\n        {{ adapter.rename_relation(existing_relation, backup_relation) }}\n    {% endif %}\n  {% endif %}\n\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% do create_indexes(target_relation) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  -- finally, drop the existing/backup relation after the commit\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.get_create_table_as_sql", "macro.dbt.create_indexes", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.539402, "supported_languages": ["sql"]}, "macro.dbt.get_create_table_as_sql": {"name": "get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.get_create_table_as_sql", "macro_sql": "{% macro get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ adapter.dispatch('get_create_table_as_sql', 'dbt')(temporary, relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_table_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.541279, "supported_languages": null}, "macro.dbt.default__get_create_table_as_sql": {"name": "default__get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_create_table_as_sql", "macro_sql": "{% macro default__get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ return(create_table_as(temporary, relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.541784, "supported_languages": null}, "macro.dbt.create_table_as": {"name": "create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.create_table_as", "macro_sql": "{% macro create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {# backward compatibility for create_table_as that does not support language #}\n  {% if language == \"sql\" %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code)}}\n  {% else %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code, language) }}\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.542913, "supported_languages": null}, "macro.dbt.default__create_table_as": {"name": "default__create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__create_table_as", "macro_sql": "{% macro default__create_table_as(temporary, relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create {% if temporary: -%}temporary{%- endif %} table\n    {{ relation.include(database=(not temporary), schema=(not temporary)) }}\n  {% set contract_config = config.get('contract') %}\n  {% if contract_config.enforced %}\n    {{ get_assert_columns_equivalent(sql) }}\n    {{ get_table_columns_and_constraints() }}\n    {%- set sql = get_select_subquery(sql) %}\n  {% endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.544628, "supported_languages": null}, "macro.dbt.default__get_column_names": {"name": "default__get_column_names", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_column_names", "macro_sql": "{% macro default__get_column_names() %}\n  {#- loop through user_provided_columns to get column names -#}\n    {%- set user_provided_columns = model['columns'] -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5458372, "supported_languages": null}, "macro.dbt.get_select_subquery": {"name": "get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.get_select_subquery", "macro_sql": "{% macro get_select_subquery(sql) %}\n  {{ return(adapter.dispatch('get_select_subquery', 'dbt')(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.546348, "supported_languages": null}, "macro.dbt.default__get_select_subquery": {"name": "default__get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_select_subquery", "macro_sql": "{% macro default__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names', 'dbt')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.546835, "supported_languages": null}, "macro.dbt.materialization_view_default": {"name": "materialization_view_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/view.sql", "original_file_path": "macros/materializations/models/view/view.sql", "unique_id": "macro.dbt.materialization_view_default", "macro_sql": "{%- materialization view, default -%}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='view') -%}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n     This relation (probably) doesn't exist yet. If it does exist, it's a leftover from\n     a previous run, and we're going to try to drop it immediately. At the end of this\n     materialization, we're going to rename the \"existing_relation\" to this identifier,\n     and then we're going to drop it. In order to make sure we run the correct one of:\n       - drop view ...\n       - drop table ...\n\n     We need to set the type of this relation to be the type of the existing_relation, if it exists,\n     or else \"view\" as a sane default if it does not. Note that if the existing_relation does not\n     exist, then there is nothing to move out of the way and subsequentally drop. In that case,\n     this relation will be effectively unused.\n  */\n  {%- set backup_relation_type = 'view' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  -- move the existing view out of the way\n  {% if existing_relation is not none %}\n     /* Do the equivalent of rename_if_exists. 'existing_relation' could have been dropped\n        since the variable was first set. */\n    {% set existing_relation = load_cached_relation(existing_relation) %}\n    {% if existing_relation is not none %}\n        {{ adapter.rename_relation(existing_relation, backup_relation) }}\n    {% endif %}\n  {% endif %}\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.run_hooks", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.553967, "supported_languages": ["sql"]}, "macro.dbt.handle_existing_table": {"name": "handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "unique_id": "macro.dbt.handle_existing_table", "macro_sql": "{% macro handle_existing_table(full_refresh, old_relation) %}\n    {{ adapter.dispatch('handle_existing_table', 'dbt')(full_refresh, old_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__handle_existing_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.554883, "supported_languages": null}, "macro.dbt.default__handle_existing_table": {"name": "default__handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "unique_id": "macro.dbt.default__handle_existing_table", "macro_sql": "{% macro default__handle_existing_table(full_refresh, old_relation) %}\n    {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.555477, "supported_languages": null}, "macro.dbt.create_or_replace_view": {"name": "create_or_replace_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_or_replace_view.sql", "original_file_path": "macros/materializations/models/view/create_or_replace_view.sql", "unique_id": "macro.dbt.create_or_replace_view", "macro_sql": "{% macro create_or_replace_view() %}\n  {%- set identifier = model['alias'] -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set target_relation = api.Relation.create(\n      identifier=identifier, schema=schema, database=database,\n      type='view') -%}\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  -- If there's a table with the same name and we weren't told to full refresh,\n  -- that's an error. If we were told to full refresh, drop it. This behavior differs\n  -- for Snowflake and BigQuery, so multiple dispatch is used.\n  {%- if old_relation is not none and old_relation.is_table -%}\n    {{ handle_existing_table(should_full_refresh(), old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(target_relation, sql) }}\n  {%- endcall %}\n\n  {% set should_revoke = should_revoke(exists_as_view, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.handle_existing_table", "macro.dbt.should_full_refresh", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.55917, "supported_languages": null}, "macro.dbt.get_create_view_as_sql": {"name": "get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.get_create_view_as_sql", "macro_sql": "{% macro get_create_view_as_sql(relation, sql) -%}\n  {{ adapter.dispatch('get_create_view_as_sql', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.560226, "supported_languages": null}, "macro.dbt.default__get_create_view_as_sql": {"name": "default__get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.default__get_create_view_as_sql", "macro_sql": "{% macro default__get_create_view_as_sql(relation, sql) -%}\n  {{ return(create_view_as(relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5606642, "supported_languages": null}, "macro.dbt.create_view_as": {"name": "create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.create_view_as", "macro_sql": "{% macro create_view_as(relation, sql) -%}\n  {{ adapter.dispatch('create_view_as', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5611498, "supported_languages": null}, "macro.dbt.default__create_view_as": {"name": "default__create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.default__create_view_as", "macro_sql": "{% macro default__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n  create view {{ relation }}\n    {% set contract_config = config.get('contract') %}\n    {% if contract_config.enforced %}\n      {{ get_assert_columns_equivalent(sql) }}\n    {%- endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.562248, "supported_languages": null}, "macro.dbt.materialization_seed_default": {"name": "materialization_seed_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/seed.sql", "original_file_path": "macros/materializations/seeds/seed.sql", "unique_id": "macro.dbt.materialization_seed_default", "macro_sql": "{% materialization seed, default %}\n\n  {%- set identifier = model['alias'] -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n\n  {%- set exists_as_table = (old_relation is not none and old_relation.is_table) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set grant_config = config.get('grants') -%}\n  {%- set agate_table = load_agate_table() -%}\n  -- grab current tables grants config for comparison later on\n\n  {%- do store_result('agate_table', response='OK', agate_table=agate_table) -%}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% set create_table_sql = \"\" %}\n  {% if exists_as_view %}\n    {{ exceptions.raise_compiler_error(\"Cannot seed to '{}', it is a view\".format(old_relation)) }}\n  {% elif exists_as_table %}\n    {% set create_table_sql = reset_csv_table(model, full_refresh_mode, old_relation, agate_table) %}\n  {% else %}\n    {% set create_table_sql = create_csv_table(model, agate_table) %}\n  {% endif %}\n\n  {% set code = 'CREATE' if full_refresh_mode else 'INSERT' %}\n  {% set rows_affected = (agate_table.rows | length) %}\n  {% set sql = load_csv_rows(model, agate_table) %}\n\n  {% call noop_statement('main', code ~ ' ' ~ rows_affected, code, rows_affected) %}\n    {{ get_csv_sql(create_table_sql, sql) }};\n  {% endcall %}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if full_refresh_mode or not exists_as_table %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.run_hooks", "macro.dbt.reset_csv_table", "macro.dbt.create_csv_table", "macro.dbt.load_csv_rows", "macro.dbt.noop_statement", "macro.dbt.get_csv_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.569983, "supported_languages": ["sql"]}, "macro.dbt.create_csv_table": {"name": "create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.create_csv_table", "macro_sql": "{% macro create_csv_table(model, agate_table) -%}\n  {{ adapter.dispatch('create_csv_table', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.578592, "supported_languages": null}, "macro.dbt.default__create_csv_table": {"name": "default__create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__create_csv_table", "macro_sql": "{% macro default__create_csv_table(model, agate_table) %}\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n\n  {% set sql %}\n    create table {{ this.render() }} (\n        {%- for col_name in agate_table.column_names -%}\n            {%- set inferred_type = adapter.convert_type(agate_table, loop.index0) -%}\n            {%- set type = column_override.get(col_name, inferred_type) -%}\n            {%- set column_name = (col_name | string) -%}\n            {{ adapter.quote_seed_column(column_name, quote_seed_column) }} {{ type }} {%- if not loop.last -%}, {%- endif -%}\n        {%- endfor -%}\n    )\n  {% endset %}\n\n  {% call statement('_') -%}\n    {{ sql }}\n  {%- endcall %}\n\n  {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5809238, "supported_languages": null}, "macro.dbt.reset_csv_table": {"name": "reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.reset_csv_table", "macro_sql": "{% macro reset_csv_table(model, full_refresh, old_relation, agate_table) -%}\n  {{ adapter.dispatch('reset_csv_table', 'dbt')(model, full_refresh, old_relation, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__reset_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5816069, "supported_languages": null}, "macro.dbt.default__reset_csv_table": {"name": "default__reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__reset_csv_table", "macro_sql": "{% macro default__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {% set sql = \"\" %}\n    {% if full_refresh %}\n        {{ adapter.drop_relation(old_relation) }}\n        {% set sql = create_csv_table(model, agate_table) %}\n    {% else %}\n        {{ adapter.truncate_relation(old_relation) }}\n        {% set sql = \"truncate table \" ~ old_relation %}\n    {% endif %}\n\n    {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5830002, "supported_languages": null}, "macro.dbt.get_csv_sql": {"name": "get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_csv_sql", "macro_sql": "{% macro get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ adapter.dispatch('get_csv_sql', 'dbt')(create_or_truncate_sql, insert_sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_csv_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.583563, "supported_languages": null}, "macro.dbt.default__get_csv_sql": {"name": "default__get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_csv_sql", "macro_sql": "{% macro default__get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ create_or_truncate_sql }};\n    -- dbt seed --\n    {{ insert_sql }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5839381, "supported_languages": null}, "macro.dbt.get_binding_char": {"name": "get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_binding_char", "macro_sql": "{% macro get_binding_char() -%}\n  {{ adapter.dispatch('get_binding_char', 'dbt')() }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.58432, "supported_languages": null}, "macro.dbt.default__get_binding_char": {"name": "default__get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_binding_char", "macro_sql": "{% macro default__get_binding_char() %}\n  {{ return('%s') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.58464, "supported_languages": null}, "macro.dbt.get_batch_size": {"name": "get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_batch_size", "macro_sql": "{% macro get_batch_size() -%}\n  {{ return(adapter.dispatch('get_batch_size', 'dbt')()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_batch_size"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.585063, "supported_languages": null}, "macro.dbt.default__get_batch_size": {"name": "default__get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_batch_size", "macro_sql": "{% macro default__get_batch_size() %}\n  {{ return(10000) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.585378, "supported_languages": null}, "macro.dbt.get_seed_column_quoted_csv": {"name": "get_seed_column_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_seed_column_quoted_csv", "macro_sql": "{% macro get_seed_column_quoted_csv(model, column_names) %}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote_seed_column(col, quote_seed_column)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.586716, "supported_languages": null}, "macro.dbt.load_csv_rows": {"name": "load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.load_csv_rows", "macro_sql": "{% macro load_csv_rows(model, agate_table) -%}\n  {{ adapter.dispatch('load_csv_rows', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__load_csv_rows"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5872269, "supported_languages": null}, "macro.dbt.default__load_csv_rows": {"name": "default__load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__load_csv_rows", "macro_sql": "{% macro default__load_csv_rows(model, agate_table) %}\n\n  {% set batch_size = get_batch_size() %}\n\n  {% set cols_sql = get_seed_column_quoted_csv(model, agate_table.column_names) %}\n  {% set bindings = [] %}\n\n  {% set statements = [] %}\n\n  {% for chunk in agate_table.rows | batch(batch_size) %}\n      {% set bindings = [] %}\n\n      {% for row in chunk %}\n          {% do bindings.extend(row) %}\n      {% endfor %}\n\n      {% set sql %}\n          insert into {{ this.render() }} ({{ cols_sql }}) values\n          {% for row in chunk -%}\n              ({%- for column in agate_table.column_names -%}\n                  {{ get_binding_char() }}\n                  {%- if not loop.last%},{%- endif %}\n              {%- endfor -%})\n              {%- if not loop.last%},{%- endif %}\n          {%- endfor %}\n      {% endset %}\n\n      {% do adapter.add_query(sql, bindings=bindings, abridge_sql_log=True) %}\n\n      {% if loop.index0 == 0 %}\n          {% do statements.append(sql) %}\n      {% endif %}\n  {% endfor %}\n\n  {# Return SQL so we can render it out into the compiled files #}\n  {{ return(statements[0]) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_batch_size", "macro.dbt.get_seed_column_quoted_csv", "macro.dbt.get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.590511, "supported_languages": null}, "macro.dbt.generate_alias_name": {"name": "generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.generate_alias_name", "macro_sql": "{% macro generate_alias_name(custom_alias_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_alias_name', 'dbt')(custom_alias_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_alias_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5915132, "supported_languages": null}, "macro.dbt.default__generate_alias_name": {"name": "default__generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.default__generate_alias_name", "macro_sql": "{% macro default__generate_alias_name(custom_alias_name=none, node=none) -%}\n\n    {%- if custom_alias_name -%}\n\n        {{ custom_alias_name | trim }}\n\n    {%- elif node.version -%}\n\n        {{ return(node.name ~ \"_v\" ~ (node.version | replace(\".\", \"_\"))) }}\n\n    {%- else -%}\n\n        {{ node.name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5924978, "supported_languages": null}, "macro.dbt.generate_schema_name": {"name": "generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name", "macro_sql": "{% macro generate_schema_name(custom_schema_name=none, node=none) -%}\n    {{ return(adapter.dispatch('generate_schema_name', 'dbt')(custom_schema_name, node)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.593657, "supported_languages": null}, "macro.dbt.default__generate_schema_name": {"name": "default__generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.default__generate_schema_name", "macro_sql": "{% macro default__generate_schema_name(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if custom_schema_name is none -%}\n\n        {{ default_schema }}\n\n    {%- else -%}\n\n        {{ default_schema }}_{{ custom_schema_name | trim }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.594468, "supported_languages": null}, "macro.dbt.generate_schema_name_for_env": {"name": "generate_schema_name_for_env", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name_for_env", "macro_sql": "{% macro generate_schema_name_for_env(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if target.name == 'prod' and custom_schema_name is not none -%}\n\n        {{ custom_schema_name | trim }}\n\n    {%- else -%}\n\n        {{ default_schema }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.595256, "supported_languages": null}, "macro.dbt.generate_database_name": {"name": "generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.generate_database_name", "macro_sql": "{% macro generate_database_name(custom_database_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_database_name', 'dbt')(custom_database_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_database_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.596234, "supported_languages": null}, "macro.dbt.default__generate_database_name": {"name": "default__generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.default__generate_database_name", "macro_sql": "{% macro default__generate_database_name(custom_database_name=none, node=none) -%}\n    {%- set default_database = target.database -%}\n    {%- if custom_database_name is none -%}\n\n        {{ default_database }}\n\n    {%- else -%}\n\n        {{ custom_database_name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5969331, "supported_languages": null}, "macro.dbt.default__test_relationships": {"name": "default__test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/relationships.sql", "original_file_path": "macros/generic_test_sql/relationships.sql", "unique_id": "macro.dbt.default__test_relationships", "macro_sql": "{% macro default__test_relationships(model, column_name, to, field) %}\n\nwith child as (\n    select {{ column_name }} as from_field\n    from {{ model }}\n    where {{ column_name }} is not null\n),\n\nparent as (\n    select {{ field }} as to_field\n    from {{ to }}\n)\n\nselect\n    from_field\n\nfrom child\nleft join parent\n    on child.from_field = parent.to_field\n\nwhere parent.to_field is null\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.597763, "supported_languages": null}, "macro.dbt.default__test_not_null": {"name": "default__test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/not_null.sql", "original_file_path": "macros/generic_test_sql/not_null.sql", "unique_id": "macro.dbt.default__test_not_null", "macro_sql": "{% macro default__test_not_null(model, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else column_name %}\n\nselect {{ column_list }}\nfrom {{ model }}\nwhere {{ column_name }} is null\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.598497, "supported_languages": null}, "macro.dbt.default__test_unique": {"name": "default__test_unique", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/unique.sql", "original_file_path": "macros/generic_test_sql/unique.sql", "unique_id": "macro.dbt.default__test_unique", "macro_sql": "{% macro default__test_unique(model, column_name) %}\n\nselect\n    {{ column_name }} as unique_field,\n    count(*) as n_records\n\nfrom {{ model }}\nwhere {{ column_name }} is not null\ngroup by {{ column_name }}\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.5990772, "supported_languages": null}, "macro.dbt.default__test_accepted_values": {"name": "default__test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/accepted_values.sql", "original_file_path": "macros/generic_test_sql/accepted_values.sql", "unique_id": "macro.dbt.default__test_accepted_values", "macro_sql": "{% macro default__test_accepted_values(model, column_name, values, quote=True) %}\n\nwith all_values as (\n\n    select\n        {{ column_name }} as value_field,\n        count(*) as n_records\n\n    from {{ model }}\n    group by {{ column_name }}\n\n)\n\nselect *\nfrom all_values\nwhere value_field not in (\n    {% for value in values -%}\n        {% if quote -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n    {%- endfor %}\n)\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.600348, "supported_languages": null}, "macro.dbt.statement": {"name": "statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.statement", "macro_sql": "\n{%- macro statement(name=None, fetch_result=False, auto_begin=True, language='sql') -%}\n  {%- if execute: -%}\n    {%- set compiled_code = caller() -%}\n\n    {%- if name == 'main' -%}\n      {{ log('Writing runtime {} for node \"{}\"'.format(language, model['unique_id'])) }}\n      {{ write(compiled_code) }}\n    {%- endif -%}\n    {%- if language == 'sql'-%}\n      {%- set res, table = adapter.execute(compiled_code, auto_begin=auto_begin, fetch=fetch_result) -%}\n    {%- elif language == 'python' -%}\n      {%- set res = submit_python_job(model, compiled_code) -%}\n      {#-- TODO: What should table be for python models? --#}\n      {%- set table = None -%}\n    {%- else -%}\n      {% do exceptions.raise_compiler_error(\"statement macro didn't get supported language\") %}\n    {%- endif -%}\n\n    {%- if name is not none -%}\n      {{ store_result(name, response=res, agate_table=table) }}\n    {%- endif -%}\n\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6039062, "supported_languages": null}, "macro.dbt.noop_statement": {"name": "noop_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.noop_statement", "macro_sql": "{% macro noop_statement(name=None, message=None, code=None, rows_affected=None, res=None) -%}\n  {%- set sql = caller() -%}\n\n  {%- if name == 'main' -%}\n    {{ log('Writing runtime SQL for node \"{}\"'.format(model['unique_id'])) }}\n    {{ write(sql) }}\n  {%- endif -%}\n\n  {%- if name is not none -%}\n    {{ store_raw_result(name, message=message, code=code, rows_affected=rows_affected, agate_table=res) }}\n  {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.606368, "supported_languages": null}, "macro.dbt.run_query": {"name": "run_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.run_query", "macro_sql": "{% macro run_query(sql) %}\n  {% call statement(\"run_query_statement\", fetch_result=true, auto_begin=false) %}\n    {{ sql }}\n  {% endcall %}\n\n  {% do return(load_result(\"run_query_statement\").table) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.607091, "supported_languages": null}, "macro.dbt.convert_datetime": {"name": "convert_datetime", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.convert_datetime", "macro_sql": "{% macro convert_datetime(date_str, date_fmt) %}\n\n  {% set error_msg -%}\n      The provided partition date '{{ date_str }}' does not match the expected format '{{ date_fmt }}'\n  {%- endset %}\n\n  {% set res = try_or_compiler_error(error_msg, modules.datetime.datetime.strptime, date_str.strip(), date_fmt) %}\n  {{ return(res) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.610349, "supported_languages": null}, "macro.dbt.dates_in_range": {"name": "dates_in_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.dates_in_range", "macro_sql": "{% macro dates_in_range(start_date_str, end_date_str=none, in_fmt=\"%Y%m%d\", out_fmt=\"%Y%m%d\") %}\n    {% set end_date_str = start_date_str if end_date_str is none else end_date_str %}\n\n    {% set start_date = convert_datetime(start_date_str, in_fmt) %}\n    {% set end_date = convert_datetime(end_date_str, in_fmt) %}\n\n    {% set day_count = (end_date - start_date).days %}\n    {% if day_count < 0 %}\n        {% set msg -%}\n            Partiton start date is after the end date ({{ start_date }}, {{ end_date }})\n        {%- endset %}\n\n        {{ exceptions.raise_compiler_error(msg, model) }}\n    {% endif %}\n\n    {% set date_list = [] %}\n    {% for i in range(0, day_count + 1) %}\n        {% set the_date = (modules.datetime.timedelta(days=i) + start_date) %}\n        {% if not out_fmt %}\n            {% set _ = date_list.append(the_date) %}\n        {% else %}\n            {% set _ = date_list.append(the_date.strftime(out_fmt)) %}\n        {% endif %}\n    {% endfor %}\n\n    {{ return(date_list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.convert_datetime"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.613539, "supported_languages": null}, "macro.dbt.partition_range": {"name": "partition_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.partition_range", "macro_sql": "{% macro partition_range(raw_partition_date, date_fmt='%Y%m%d') %}\n    {% set partition_range = (raw_partition_date | string).split(\",\") %}\n\n    {% if (partition_range | length) == 1 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = none %}\n    {% elif (partition_range | length) == 2 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = partition_range[1] %}\n    {% else %}\n      {{ exceptions.raise_compiler_error(\"Invalid partition time. Expected format: {Start Date}[,{End Date}]. Got: \" ~ raw_partition_date) }}\n    {% endif %}\n\n    {{ return(dates_in_range(start_date, end_date, in_fmt=date_fmt)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dates_in_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6156192, "supported_languages": null}, "macro.dbt.py_current_timestring": {"name": "py_current_timestring", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.py_current_timestring", "macro_sql": "{% macro py_current_timestring() %}\n    {% set dt = modules.datetime.datetime.now() %}\n    {% do return(dt.strftime(\"%Y%m%d%H%M%S%f\")) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.616263, "supported_languages": null}, "macro.dbt.except": {"name": "except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.except", "macro_sql": "{% macro except() %}\n  {{ return(adapter.dispatch('except', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.616881, "supported_languages": null}, "macro.dbt.default__except": {"name": "default__except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.default__except", "macro_sql": "{% macro default__except() %}\n\n    except\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.617134, "supported_languages": null}, "macro.dbt.replace": {"name": "replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.replace", "macro_sql": "{% macro replace(field, old_chars, new_chars) -%}\n    {{ return(adapter.dispatch('replace', 'dbt') (field, old_chars, new_chars)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__replace"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.618123, "supported_languages": null}, "macro.dbt.default__replace": {"name": "default__replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.default__replace", "macro_sql": "{% macro default__replace(field, old_chars, new_chars) %}\n\n    replace(\n        {{ field }},\n        {{ old_chars }},\n        {{ new_chars }}\n    )\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.618701, "supported_languages": null}, "macro.dbt.concat": {"name": "concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.concat", "macro_sql": "{% macro concat(fields) -%}\n  {{ return(adapter.dispatch('concat', 'dbt')(fields)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.619463, "supported_languages": null}, "macro.dbt.default__concat": {"name": "default__concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.default__concat", "macro_sql": "{% macro default__concat(fields) -%}\n    {{ fields|join(' || ') }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.619885, "supported_languages": null}, "macro.dbt.length": {"name": "length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.length", "macro_sql": "{% macro length(expression) -%}\n    {{ return(adapter.dispatch('length', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__length"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6206322, "supported_languages": null}, "macro.dbt.default__length": {"name": "default__length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.default__length", "macro_sql": "{% macro default__length(expression) %}\n\n    length(\n        {{ expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.620939, "supported_languages": null}, "macro.dbt.dateadd": {"name": "dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.dateadd", "macro_sql": "{% macro dateadd(datepart, interval, from_date_or_timestamp) %}\n  {{ return(adapter.dispatch('dateadd', 'dbt')(datepart, interval, from_date_or_timestamp)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6217651, "supported_languages": null}, "macro.dbt.default__dateadd": {"name": "default__dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.default__dateadd", "macro_sql": "{% macro default__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_date_or_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.622205, "supported_languages": null}, "macro.dbt.intersect": {"name": "intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.intersect", "macro_sql": "{% macro intersect() %}\n  {{ return(adapter.dispatch('intersect', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__intersect"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6227798, "supported_languages": null}, "macro.dbt.default__intersect": {"name": "default__intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.default__intersect", "macro_sql": "{% macro default__intersect() %}\n\n    intersect\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.622997, "supported_languages": null}, "macro.dbt.escape_single_quotes": {"name": "escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.escape_single_quotes", "macro_sql": "{% macro escape_single_quotes(expression) %}\n      {{ return(adapter.dispatch('escape_single_quotes', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__escape_single_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.623656, "supported_languages": null}, "macro.dbt.default__escape_single_quotes": {"name": "default__escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.default__escape_single_quotes", "macro_sql": "{% macro default__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\",\"''\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.624043, "supported_languages": null}, "macro.dbt.right": {"name": "right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.right", "macro_sql": "{% macro right(string_text, length_expression) -%}\n    {{ return(adapter.dispatch('right', 'dbt') (string_text, length_expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__right"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.624768, "supported_languages": null}, "macro.dbt.default__right": {"name": "default__right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.default__right", "macro_sql": "{% macro default__right(string_text, length_expression) %}\n\n    right(\n        {{ string_text }},\n        {{ length_expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6251462, "supported_languages": null}, "macro.dbt.listagg": {"name": "listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.listagg", "macro_sql": "{% macro listagg(measure, delimiter_text=\"','\", order_by_clause=none, limit_num=none) -%}\n    {{ return(adapter.dispatch('listagg', 'dbt') (measure, delimiter_text, order_by_clause, limit_num)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__listagg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6265018, "supported_languages": null}, "macro.dbt.default__listagg": {"name": "default__listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.default__listagg", "macro_sql": "{% macro default__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    {% if limit_num -%}\n    array_to_string(\n        array_slice(\n            array_agg(\n                {{ measure }}\n            ){% if order_by_clause -%}\n            within group ({{ order_by_clause }})\n            {%- endif %}\n            ,0\n            ,{{ limit_num }}\n        ),\n        {{ delimiter_text }}\n        )\n    {%- else %}\n    listagg(\n        {{ measure }},\n        {{ delimiter_text }}\n        )\n        {% if order_by_clause -%}\n        within group ({{ order_by_clause }})\n        {%- endif %}\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.627601, "supported_languages": null}, "macro.dbt.datediff": {"name": "datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.datediff", "macro_sql": "{% macro datediff(first_date, second_date, datepart) %}\n  {{ return(adapter.dispatch('datediff', 'dbt')(first_date, second_date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.628431, "supported_languages": null}, "macro.dbt.default__datediff": {"name": "default__datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.default__datediff", "macro_sql": "{% macro default__datediff(first_date, second_date, datepart) -%}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.628876, "supported_languages": null}, "macro.dbt.safe_cast": {"name": "safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.safe_cast", "macro_sql": "{% macro safe_cast(field, type) %}\n  {{ return(adapter.dispatch('safe_cast', 'dbt') (field, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__safe_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6295931, "supported_languages": null}, "macro.dbt.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.630135, "supported_languages": null}, "macro.dbt.hash": {"name": "hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.hash", "macro_sql": "{% macro hash(field) -%}\n  {{ return(adapter.dispatch('hash', 'dbt') (field)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.630778, "supported_languages": null}, "macro.dbt.default__hash": {"name": "default__hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.default__hash", "macro_sql": "{% macro default__hash(field) -%}\n    md5(cast({{ field }} as {{ api.Column.translate_type('string') }}))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.63121, "supported_languages": null}, "macro.dbt.cast_bool_to_text": {"name": "cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.cast_bool_to_text", "macro_sql": "{% macro cast_bool_to_text(field) %}\n  {{ adapter.dispatch('cast_bool_to_text', 'dbt') (field) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.631828, "supported_languages": null}, "macro.dbt.default__cast_bool_to_text": {"name": "default__cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.default__cast_bool_to_text", "macro_sql": "{% macro default__cast_bool_to_text(field) %}\n    cast({{ field }} as {{ api.Column.translate_type('string') }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.632261, "supported_languages": null}, "macro.dbt.any_value": {"name": "any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.any_value", "macro_sql": "{% macro any_value(expression) -%}\n    {{ return(adapter.dispatch('any_value', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__any_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6328971, "supported_languages": null}, "macro.dbt.default__any_value": {"name": "default__any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.default__any_value", "macro_sql": "{% macro default__any_value(expression) -%}\n\n    any_value({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.633184, "supported_languages": null}, "macro.dbt.position": {"name": "position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.position", "macro_sql": "{% macro position(substring_text, string_text) -%}\n    {{ return(adapter.dispatch('position', 'dbt') (substring_text, string_text)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__position"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.633902, "supported_languages": null}, "macro.dbt.default__position": {"name": "default__position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.default__position", "macro_sql": "{% macro default__position(substring_text, string_text) %}\n\n    position(\n        {{ substring_text }} in {{ string_text }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6342762, "supported_languages": null}, "macro.dbt.string_literal": {"name": "string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.string_literal", "macro_sql": "{%- macro string_literal(value) -%}\n  {{ return(adapter.dispatch('string_literal', 'dbt') (value)) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__string_literal"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.634899, "supported_languages": null}, "macro.dbt.default__string_literal": {"name": "default__string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.default__string_literal", "macro_sql": "{% macro default__string_literal(value) -%}\n    '{{ value }}'\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.635187, "supported_languages": null}, "macro.dbt.type_string": {"name": "type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_string", "macro_sql": "\n\n{%- macro type_string() -%}\n  {{ return(adapter.dispatch('type_string', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.637217, "supported_languages": null}, "macro.dbt.default__type_string": {"name": "default__type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_string", "macro_sql": "{% macro default__type_string() %}\n    {{ return(api.Column.translate_type(\"string\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6376462, "supported_languages": null}, "macro.dbt.type_timestamp": {"name": "type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_timestamp", "macro_sql": "\n\n{%- macro type_timestamp() -%}\n  {{ return(adapter.dispatch('type_timestamp', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6380942, "supported_languages": null}, "macro.dbt.default__type_timestamp": {"name": "default__type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() %}\n    {{ return(api.Column.translate_type(\"timestamp\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.638515, "supported_languages": null}, "macro.dbt.type_float": {"name": "type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_float", "macro_sql": "\n\n{%- macro type_float() -%}\n  {{ return(adapter.dispatch('type_float', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_float"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.638955, "supported_languages": null}, "macro.dbt.default__type_float": {"name": "default__type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_float", "macro_sql": "{% macro default__type_float() %}\n    {{ return(api.Column.translate_type(\"float\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.639381, "supported_languages": null}, "macro.dbt.type_numeric": {"name": "type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_numeric", "macro_sql": "\n\n{%- macro type_numeric() -%}\n  {{ return(adapter.dispatch('type_numeric', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.639821, "supported_languages": null}, "macro.dbt.default__type_numeric": {"name": "default__type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_numeric", "macro_sql": "{% macro default__type_numeric() %}\n    {{ return(api.Column.numeric_type(\"numeric\", 28, 6)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6403048, "supported_languages": null}, "macro.dbt.type_bigint": {"name": "type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_bigint", "macro_sql": "\n\n{%- macro type_bigint() -%}\n  {{ return(adapter.dispatch('type_bigint', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6407459, "supported_languages": null}, "macro.dbt.default__type_bigint": {"name": "default__type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_bigint", "macro_sql": "{% macro default__type_bigint() %}\n    {{ return(api.Column.translate_type(\"bigint\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.641166, "supported_languages": null}, "macro.dbt.type_int": {"name": "type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_int", "macro_sql": "\n\n{%- macro type_int() -%}\n  {{ return(adapter.dispatch('type_int', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.641762, "supported_languages": null}, "macro.dbt.default__type_int": {"name": "default__type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_int", "macro_sql": "{%- macro default__type_int() -%}\n  {{ return(api.Column.translate_type(\"integer\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6421602, "supported_languages": null}, "macro.dbt.type_boolean": {"name": "type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_boolean", "macro_sql": "\n\n{%- macro type_boolean() -%}\n  {{ return(adapter.dispatch('type_boolean', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_boolean"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.642595, "supported_languages": null}, "macro.dbt.default__type_boolean": {"name": "default__type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_boolean", "macro_sql": "{%- macro default__type_boolean() -%}\n  {{ return(api.Column.translate_type(\"boolean\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.64299, "supported_languages": null}, "macro.dbt.array_concat": {"name": "array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.array_concat", "macro_sql": "{% macro array_concat(array_1, array_2) -%}\n  {{ return(adapter.dispatch('array_concat', 'dbt')(array_1, array_2)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6437, "supported_languages": null}, "macro.dbt.default__array_concat": {"name": "default__array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.default__array_concat", "macro_sql": "{% macro default__array_concat(array_1, array_2) -%}\n    array_cat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.64406, "supported_languages": null}, "macro.dbt.bool_or": {"name": "bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.bool_or", "macro_sql": "{% macro bool_or(expression) -%}\n    {{ return(adapter.dispatch('bool_or', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__bool_or"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.644696, "supported_languages": null}, "macro.dbt.default__bool_or": {"name": "default__bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.default__bool_or", "macro_sql": "{% macro default__bool_or(expression) -%}\n\n    bool_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.644984, "supported_languages": null}, "macro.dbt.last_day": {"name": "last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.last_day", "macro_sql": "{% macro last_day(date, datepart) %}\n  {{ return(adapter.dispatch('last_day', 'dbt') (date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.645807, "supported_languages": null}, "macro.dbt.default_last_day": {"name": "default_last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default_last_day", "macro_sql": "\n\n{%- macro default_last_day(date, datepart) -%}\n    cast(\n        {{dbt.dateadd('day', '-1',\n        dbt.dateadd(datepart, '1', dbt.date_trunc(datepart, date))\n        )}}\n        as date)\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.646514, "supported_languages": null}, "macro.dbt.default__last_day": {"name": "default__last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default__last_day", "macro_sql": "{% macro default__last_day(date, datepart) -%}\n    {{dbt.default_last_day(date, datepart)}}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.646927, "supported_languages": null}, "macro.dbt.split_part": {"name": "split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.split_part", "macro_sql": "{% macro split_part(string_text, delimiter_text, part_number) %}\n  {{ return(adapter.dispatch('split_part', 'dbt') (string_text, delimiter_text, part_number)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.648254, "supported_languages": null}, "macro.dbt.default__split_part": {"name": "default__split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.default__split_part", "macro_sql": "{% macro default__split_part(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n        {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6487548, "supported_languages": null}, "macro.dbt._split_part_negative": {"name": "_split_part_negative", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt._split_part_negative", "macro_sql": "{% macro _split_part_negative(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 2 + {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6493802, "supported_languages": null}, "macro.dbt.date_trunc": {"name": "date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.date_trunc", "macro_sql": "{% macro date_trunc(datepart, date) -%}\n  {{ return(adapter.dispatch('date_trunc', 'dbt') (datepart, date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.650095, "supported_languages": null}, "macro.dbt.default__date_trunc": {"name": "default__date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.default__date_trunc", "macro_sql": "{% macro default__date_trunc(datepart, date) -%}\n    date_trunc('{{datepart}}', {{date}})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.650451, "supported_languages": null}, "macro.dbt.array_construct": {"name": "array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.array_construct", "macro_sql": "{% macro array_construct(inputs=[], data_type=api.Column.translate_type('integer')) -%}\n  {{ return(adapter.dispatch('array_construct', 'dbt')(inputs, data_type)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.651375, "supported_languages": null}, "macro.dbt.default__array_construct": {"name": "default__array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.default__array_construct", "macro_sql": "{% macro default__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    array[ {{ inputs|join(' , ') }} ]\n    {% else %}\n    array[]::{{data_type}}[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.65203, "supported_languages": null}, "macro.dbt.array_append": {"name": "array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.array_append", "macro_sql": "{% macro array_append(array, new_element) -%}\n  {{ return(adapter.dispatch('array_append', 'dbt')(array, new_element)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_append"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6527512, "supported_languages": null}, "macro.dbt.default__array_append": {"name": "default__array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.default__array_append", "macro_sql": "{% macro default__array_append(array, new_element) -%}\n    array_append({{ array }}, {{ new_element }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.653117, "supported_languages": null}, "macro.dbt.create_schema": {"name": "create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.create_schema", "macro_sql": "{% macro create_schema(relation) -%}\n  {{ adapter.dispatch('create_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.653997, "supported_languages": null}, "macro.dbt.default__create_schema": {"name": "default__create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__create_schema", "macro_sql": "{% macro default__create_schema(relation) -%}\n  {%- call statement('create_schema') -%}\n    create schema if not exists {{ relation.without_identifier() }}\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.654521, "supported_languages": null}, "macro.dbt.drop_schema": {"name": "drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.drop_schema", "macro_sql": "{% macro drop_schema(relation) -%}\n  {{ adapter.dispatch('drop_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6549592, "supported_languages": null}, "macro.dbt.default__drop_schema": {"name": "default__drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__drop_schema", "macro_sql": "{% macro default__drop_schema(relation) -%}\n  {%- call statement('drop_schema') -%}\n    drop schema if exists {{ relation.without_identifier() }} cascade\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6556318, "supported_languages": null}, "macro.dbt.current_timestamp": {"name": "current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp", "macro_sql": "{%- macro current_timestamp() -%}\n    {{ adapter.dispatch('current_timestamp', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.656685, "supported_languages": null}, "macro.dbt.default__current_timestamp": {"name": "default__current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp", "macro_sql": "{% macro default__current_timestamp() -%}\n  {{ exceptions.raise_not_implemented(\n    'current_timestamp macro not implemented for adapter ' + adapter.type()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.657093, "supported_languages": null}, "macro.dbt.snapshot_get_time": {"name": "snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.snapshot_get_time", "macro_sql": "\n\n{%- macro snapshot_get_time() -%}\n    {{ adapter.dispatch('snapshot_get_time', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.657481, "supported_languages": null}, "macro.dbt.default__snapshot_get_time": {"name": "default__snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__snapshot_get_time", "macro_sql": "{% macro default__snapshot_get_time() %}\n    {{ current_timestamp() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.657776, "supported_languages": null}, "macro.dbt.current_timestamp_backcompat": {"name": "current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_backcompat", "macro_sql": "{% macro current_timestamp_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6582248, "supported_languages": null}, "macro.dbt.default__current_timestamp_backcompat": {"name": "default__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_backcompat", "macro_sql": "{% macro default__current_timestamp_backcompat() %}\n    current_timestamp::timestamp\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.658441, "supported_languages": null}, "macro.dbt.current_timestamp_in_utc_backcompat": {"name": "current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_in_utc_backcompat", "macro_sql": "{% macro current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_in_utc_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__current_timestamp_in_utc_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.658886, "supported_languages": null}, "macro.dbt.default__current_timestamp_in_utc_backcompat": {"name": "default__current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_in_utc_backcompat", "macro_sql": "{% macro default__current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp_backcompat", "macro.dbt_bigquery.bigquery__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.659332, "supported_languages": null}, "macro.dbt.get_create_index_sql": {"name": "get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_create_index_sql", "macro_sql": "{% macro get_create_index_sql(relation, index_dict) -%}\n  {{ return(adapter.dispatch('get_create_index_sql', 'dbt')(relation, index_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.661046, "supported_languages": null}, "macro.dbt.default__get_create_index_sql": {"name": "default__get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_create_index_sql", "macro_sql": "{% macro default__get_create_index_sql(relation, index_dict) -%}\n  {% do return(None) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6614242, "supported_languages": null}, "macro.dbt.create_indexes": {"name": "create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.create_indexes", "macro_sql": "{% macro create_indexes(relation) -%}\n  {{ adapter.dispatch('create_indexes', 'dbt')(relation) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.661855, "supported_languages": null}, "macro.dbt.default__create_indexes": {"name": "default__create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__create_indexes", "macro_sql": "{% macro default__create_indexes(relation) -%}\n  {%- set _indexes = config.get('indexes', default=[]) -%}\n\n  {% for _index_dict in _indexes %}\n    {% set create_index_sql = get_create_index_sql(relation, _index_dict) %}\n    {% if create_index_sql %}\n      {% do run_query(create_index_sql) %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_create_index_sql", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6628962, "supported_languages": null}, "macro.dbt.get_drop_index_sql": {"name": "get_drop_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_drop_index_sql", "macro_sql": "{% macro get_drop_index_sql(relation, index_name) -%}\n    {{ adapter.dispatch('get_drop_index_sql', 'dbt')(relation, index_name) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_drop_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6633868, "supported_languages": null}, "macro.dbt.default__get_drop_index_sql": {"name": "default__get_drop_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_drop_index_sql", "macro_sql": "{% macro default__get_drop_index_sql(relation, index_name) -%}\n    {{ exceptions.raise_compiler_error(\"`get_drop_index_sql has not been implemented for this adapter.\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.663759, "supported_languages": null}, "macro.dbt.get_show_indexes_sql": {"name": "get_show_indexes_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_show_indexes_sql", "macro_sql": "{% macro get_show_indexes_sql(relation) -%}\n    {{ adapter.dispatch('get_show_indexes_sql', 'dbt')(relation) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_show_indexes_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.664195, "supported_languages": null}, "macro.dbt.default__get_show_indexes_sql": {"name": "default__get_show_indexes_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_show_indexes_sql", "macro_sql": "{% macro default__get_show_indexes_sql(relation) -%}\n    {{ exceptions.raise_compiler_error(\"`get_show_indexes_sql has not been implemented for this adapter.\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.664546, "supported_languages": null}, "macro.dbt.make_intermediate_relation": {"name": "make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_intermediate_relation", "macro_sql": "{% macro make_intermediate_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_intermediate_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_intermediate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.669867, "supported_languages": null}, "macro.dbt.default__make_intermediate_relation": {"name": "default__make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_intermediate_relation", "macro_sql": "{% macro default__make_intermediate_relation(base_relation, suffix) %}\n    {{ return(default__make_temp_relation(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6703901, "supported_languages": null}, "macro.dbt.make_temp_relation": {"name": "make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_temp_relation", "macro_sql": "{% macro make_temp_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_temp_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6709929, "supported_languages": null}, "macro.dbt.default__make_temp_relation": {"name": "default__make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_temp_relation", "macro_sql": "{% macro default__make_temp_relation(base_relation, suffix) %}\n    {%- set temp_identifier = base_relation.identifier ~ suffix -%}\n    {%- set temp_relation = base_relation.incorporate(\n                                path={\"identifier\": temp_identifier}) -%}\n\n    {{ return(temp_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.671922, "supported_languages": null}, "macro.dbt.make_backup_relation": {"name": "make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_backup_relation", "macro_sql": "{% macro make_backup_relation(base_relation, backup_relation_type, suffix='__dbt_backup') %}\n    {{ return(adapter.dispatch('make_backup_relation', 'dbt')(base_relation, backup_relation_type, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_backup_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6725671, "supported_languages": null}, "macro.dbt.default__make_backup_relation": {"name": "default__make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_backup_relation", "macro_sql": "{% macro default__make_backup_relation(base_relation, backup_relation_type, suffix) %}\n    {%- set backup_identifier = base_relation.identifier ~ suffix -%}\n    {%- set backup_relation = base_relation.incorporate(\n                                  path={\"identifier\": backup_identifier},\n                                  type=backup_relation_type\n    ) -%}\n    {{ return(backup_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.673408, "supported_languages": null}, "macro.dbt.truncate_relation": {"name": "truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.truncate_relation", "macro_sql": "{% macro truncate_relation(relation) -%}\n  {{ return(adapter.dispatch('truncate_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__truncate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.673898, "supported_languages": null}, "macro.dbt.default__truncate_relation": {"name": "default__truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__truncate_relation", "macro_sql": "{% macro default__truncate_relation(relation) -%}\n  {% call statement('truncate_relation') -%}\n    truncate table {{ relation }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6743412, "supported_languages": null}, "macro.dbt.rename_relation": {"name": "rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.rename_relation", "macro_sql": "{% macro rename_relation(from_relation, to_relation) -%}\n  {{ return(adapter.dispatch('rename_relation', 'dbt')(from_relation, to_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__rename_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.674879, "supported_languages": null}, "macro.dbt.default__rename_relation": {"name": "default__rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__rename_relation", "macro_sql": "{% macro default__rename_relation(from_relation, to_relation) -%}\n  {% set target_name = adapter.quote_as_configured(to_relation.identifier, 'identifier') %}\n  {% call statement('rename_relation') -%}\n    alter table {{ from_relation }} rename to {{ target_name }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.675627, "supported_languages": null}, "macro.dbt.get_or_create_relation": {"name": "get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.get_or_create_relation", "macro_sql": "{% macro get_or_create_relation(database, schema, identifier, type) -%}\n  {{ return(adapter.dispatch('get_or_create_relation', 'dbt')(database, schema, identifier, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_or_create_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6762822, "supported_languages": null}, "macro.dbt.default__get_or_create_relation": {"name": "default__get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__get_or_create_relation", "macro_sql": "{% macro default__get_or_create_relation(database, schema, identifier, type) %}\n  {%- set target_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n\n  {% if target_relation %}\n    {% do return([true, target_relation]) %}\n  {% endif %}\n\n  {%- set new_relation = api.Relation.create(\n      database=database,\n      schema=schema,\n      identifier=identifier,\n      type=type\n  ) -%}\n  {% do return([false, new_relation]) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.677707, "supported_languages": null}, "macro.dbt.load_cached_relation": {"name": "load_cached_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_cached_relation", "macro_sql": "{% macro load_cached_relation(relation) %}\n  {% do return(adapter.get_relation(\n    database=relation.database,\n    schema=relation.schema,\n    identifier=relation.identifier\n  )) -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6783118, "supported_languages": null}, "macro.dbt.load_relation": {"name": "load_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_relation", "macro_sql": "{% macro load_relation(relation) %}\n    {{ return(load_cached_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.678713, "supported_languages": null}, "macro.dbt.drop_relation_if_exists": {"name": "drop_relation_if_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.drop_relation_if_exists", "macro_sql": "{% macro drop_relation_if_exists(relation) %}\n  {% if relation is not none %}\n    {{ adapter.drop_relation(relation) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6792588, "supported_languages": null}, "macro.dbt.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness', 'dbt')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.680259, "supported_languages": null}, "macro.dbt.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n    select\n      max({{ loaded_at_field }}) as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n    from {{ source }}\n    {% if filter %}\n    where {{ filter }}\n    {% endif %}\n  {% endcall %}\n  {{ return(load_result('collect_freshness')) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.681424, "supported_languages": null}, "macro.dbt.validate_sql": {"name": "validate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/validate_sql.sql", "original_file_path": "macros/adapters/validate_sql.sql", "unique_id": "macro.dbt.validate_sql", "macro_sql": "{% macro validate_sql(sql) -%}\n  {{ return(adapter.dispatch('validate_sql', 'dbt')(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__validate_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6827579, "supported_languages": null}, "macro.dbt.default__validate_sql": {"name": "default__validate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/validate_sql.sql", "original_file_path": "macros/adapters/validate_sql.sql", "unique_id": "macro.dbt.default__validate_sql", "macro_sql": "{% macro default__validate_sql(sql) -%}\n  {% call statement('validate_sql') -%}\n    explain {{ sql }}\n  {% endcall %}\n  {{ return(load_result('validate_sql')) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.683458, "supported_languages": null}, "macro.dbt.copy_grants": {"name": "copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.copy_grants", "macro_sql": "{% macro copy_grants() %}\n    {{ return(adapter.dispatch('copy_grants', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.686977, "supported_languages": null}, "macro.dbt.default__copy_grants": {"name": "default__copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__copy_grants", "macro_sql": "{% macro default__copy_grants() %}\n    {{ return(True) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.687306, "supported_languages": null}, "macro.dbt.support_multiple_grantees_per_dcl_statement": {"name": "support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.support_multiple_grantees_per_dcl_statement", "macro_sql": "{% macro support_multiple_grantees_per_dcl_statement() %}\n    {{ return(adapter.dispatch('support_multiple_grantees_per_dcl_statement', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6877608, "supported_languages": null}, "macro.dbt.default__support_multiple_grantees_per_dcl_statement": {"name": "default__support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__support_multiple_grantees_per_dcl_statement", "macro_sql": "\n\n{%- macro default__support_multiple_grantees_per_dcl_statement() -%}\n    {{ return(True) }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.688065, "supported_languages": null}, "macro.dbt.should_revoke": {"name": "should_revoke", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.should_revoke", "macro_sql": "{% macro should_revoke(existing_relation, full_refresh_mode=True) %}\n\n    {% if not existing_relation %}\n        {#-- The table doesn't already exist, so no grants to copy over --#}\n        {{ return(False) }}\n    {% elif full_refresh_mode %}\n        {#-- The object is being REPLACED -- whether grants are copied over depends on the value of user config --#}\n        {{ return(copy_grants()) }}\n    {% else %}\n        {#-- The table is being merged/upserted/inserted -- grants will be carried over --#}\n        {{ return(True) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.688977, "supported_languages": null}, "macro.dbt.get_show_grant_sql": {"name": "get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_show_grant_sql", "macro_sql": "{% macro get_show_grant_sql(relation) %}\n    {{ return(adapter.dispatch(\"get_show_grant_sql\", \"dbt\")(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_show_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.689483, "supported_languages": null}, "macro.dbt.default__get_show_grant_sql": {"name": "default__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_show_grant_sql", "macro_sql": "{% macro default__get_show_grant_sql(relation) %}\n    show grants on {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6897721, "supported_languages": null}, "macro.dbt.get_grant_sql": {"name": "get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_grant_sql", "macro_sql": "{% macro get_grant_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_grant_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6907918, "supported_languages": null}, "macro.dbt.default__get_grant_sql": {"name": "default__get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_grant_sql", "macro_sql": "\n\n{%- macro default__get_grant_sql(relation, privilege, grantees) -%}\n    grant {{ privilege }} on {{ relation }} to {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.691297, "supported_languages": null}, "macro.dbt.get_revoke_sql": {"name": "get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_revoke_sql", "macro_sql": "{% macro get_revoke_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_revoke_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_revoke_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.691906, "supported_languages": null}, "macro.dbt.default__get_revoke_sql": {"name": "default__get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_revoke_sql", "macro_sql": "\n\n{%- macro default__get_revoke_sql(relation, privilege, grantees) -%}\n    revoke {{ privilege }} on {{ relation }} from {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.692412, "supported_languages": null}, "macro.dbt.get_dcl_statement_list": {"name": "get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_dcl_statement_list", "macro_sql": "{% macro get_dcl_statement_list(relation, grant_config, get_dcl_macro) %}\n    {{ return(adapter.dispatch('get_dcl_statement_list', 'dbt')(relation, grant_config, get_dcl_macro)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_dcl_statement_list"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.693015, "supported_languages": null}, "macro.dbt.default__get_dcl_statement_list": {"name": "default__get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_dcl_statement_list", "macro_sql": "\n\n{%- macro default__get_dcl_statement_list(relation, grant_config, get_dcl_macro) -%}\n    {#\n      -- Unpack grant_config into specific privileges and the set of users who need them granted/revoked.\n      -- Depending on whether this database supports multiple grantees per statement, pass in the list of\n      -- all grantees per privilege, or (if not) template one statement per privilege-grantee pair.\n      -- `get_dcl_macro` will be either `get_grant_sql` or `get_revoke_sql`\n    #}\n    {%- set dcl_statements = [] -%}\n    {%- for privilege, grantees in grant_config.items() %}\n        {%- if support_multiple_grantees_per_dcl_statement() and grantees -%}\n          {%- set dcl = get_dcl_macro(relation, privilege, grantees) -%}\n          {%- do dcl_statements.append(dcl) -%}\n        {%- else -%}\n          {%- for grantee in grantees -%}\n              {% set dcl = get_dcl_macro(relation, privilege, [grantee]) %}\n              {%- do dcl_statements.append(dcl) -%}\n          {% endfor -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return(dcl_statements) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.6949499, "supported_languages": null}, "macro.dbt.call_dcl_statements": {"name": "call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.call_dcl_statements", "macro_sql": "{% macro call_dcl_statements(dcl_statement_list) %}\n    {{ return(adapter.dispatch(\"call_dcl_statements\", \"dbt\")(dcl_statement_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.695464, "supported_languages": null}, "macro.dbt.default__call_dcl_statements": {"name": "default__call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__call_dcl_statements", "macro_sql": "{% macro default__call_dcl_statements(dcl_statement_list) %}\n    {#\n      -- By default, supply all grant + revoke statements in a single semicolon-separated block,\n      -- so that they're all processed together.\n\n      -- Some databases do not support this. Those adapters will need to override this macro\n      -- to run each statement individually.\n    #}\n    {% call statement('grants') %}\n        {% for dcl_statement in dcl_statement_list %}\n            {{ dcl_statement }};\n        {% endfor %}\n    {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.696126, "supported_languages": null}, "macro.dbt.apply_grants": {"name": "apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.apply_grants", "macro_sql": "{% macro apply_grants(relation, grant_config, should_revoke) %}\n    {{ return(adapter.dispatch(\"apply_grants\", \"dbt\")(relation, grant_config, should_revoke)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.696733, "supported_languages": null}, "macro.dbt.default__apply_grants": {"name": "default__apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__apply_grants", "macro_sql": "{% macro default__apply_grants(relation, grant_config, should_revoke=True) %}\n    {#-- If grant_config is {} or None, this is a no-op --#}\n    {% if grant_config %}\n        {% if should_revoke %}\n            {#-- We think previous grants may have carried over --#}\n            {#-- Show current grants and calculate diffs --#}\n            {% set current_grants_table = run_query(get_show_grant_sql(relation)) %}\n            {% set current_grants_dict = adapter.standardize_grants_dict(current_grants_table) %}\n            {% set needs_granting = diff_of_two_dicts(grant_config, current_grants_dict) %}\n            {% set needs_revoking = diff_of_two_dicts(current_grants_dict, grant_config) %}\n            {% if not (needs_granting or needs_revoking) %}\n                {{ log('On ' ~ relation ~': All grants are in place, no revocation or granting needed.')}}\n            {% endif %}\n        {% else %}\n            {#-- We don't think there's any chance of previous grants having carried over. --#}\n            {#-- Jump straight to granting what the user has configured. --#}\n            {% set needs_revoking = {} %}\n            {% set needs_granting = grant_config %}\n        {% endif %}\n        {% if needs_granting or needs_revoking %}\n            {% set revoke_statement_list = get_dcl_statement_list(relation, needs_revoking, get_revoke_sql) %}\n            {% set grant_statement_list = get_dcl_statement_list(relation, needs_granting, get_grant_sql) %}\n            {% set dcl_statement_list = revoke_statement_list + grant_statement_list %}\n            {% if dcl_statement_list %}\n                {{ call_dcl_statements(dcl_statement_list) }}\n            {% endif %}\n        {% endif %}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.get_show_grant_sql", "macro.dbt.get_dcl_statement_list", "macro.dbt.call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.699643, "supported_languages": null}, "macro.dbt.alter_column_comment": {"name": "alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_column_comment", "macro_sql": "{% macro alter_column_comment(relation, column_dict) -%}\n  {{ return(adapter.dispatch('alter_column_comment', 'dbt')(relation, column_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.701086, "supported_languages": null}, "macro.dbt.default__alter_column_comment": {"name": "default__alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_column_comment", "macro_sql": "{% macro default__alter_column_comment(relation, column_dict) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_column_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.701557, "supported_languages": null}, "macro.dbt.alter_relation_comment": {"name": "alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_relation_comment", "macro_sql": "{% macro alter_relation_comment(relation, relation_comment) -%}\n  {{ return(adapter.dispatch('alter_relation_comment', 'dbt')(relation, relation_comment)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.702108, "supported_languages": null}, "macro.dbt.default__alter_relation_comment": {"name": "default__alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_relation_comment", "macro_sql": "{% macro default__alter_relation_comment(relation, relation_comment) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_relation_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.702559, "supported_languages": null}, "macro.dbt.persist_docs": {"name": "persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.persist_docs", "macro_sql": "{% macro persist_docs(relation, model, for_relation=true, for_columns=true) -%}\n  {{ return(adapter.dispatch('persist_docs', 'dbt')(relation, model, for_relation, for_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.703257, "supported_languages": null}, "macro.dbt.default__persist_docs": {"name": "default__persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__persist_docs", "macro_sql": "{% macro default__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_relation and config.persist_relation_docs() and model.description %}\n    {% do run_query(alter_relation_comment(relation, model.description)) %}\n  {% endif %}\n\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do run_query(alter_column_comment(relation, model.columns)) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.alter_relation_comment", "macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.704593, "supported_languages": null}, "macro.dbt.get_catalog": {"name": "get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_catalog", "macro_sql": "{% macro get_catalog(information_schema, schemas) -%}\n  {{ return(adapter.dispatch('get_catalog', 'dbt')(information_schema, schemas)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_catalog"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.707435, "supported_languages": null}, "macro.dbt.default__get_catalog": {"name": "default__get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_catalog", "macro_sql": "{% macro default__get_catalog(information_schema, schemas) -%}\n\n  {% set typename = adapter.type() %}\n  {% set msg -%}\n    get_catalog not implemented for {{ typename }}\n  {%- endset %}\n\n  {{ exceptions.raise_compiler_error(msg) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.708131, "supported_languages": null}, "macro.dbt.information_schema_name": {"name": "information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.information_schema_name", "macro_sql": "{% macro information_schema_name(database) %}\n  {{ return(adapter.dispatch('information_schema_name', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__information_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7086349, "supported_languages": null}, "macro.dbt.default__information_schema_name": {"name": "default__information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__information_schema_name", "macro_sql": "{% macro default__information_schema_name(database) -%}\n  {%- if database -%}\n    {{ database }}.INFORMATION_SCHEMA\n  {%- else -%}\n    INFORMATION_SCHEMA\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.709068, "supported_languages": null}, "macro.dbt.list_schemas": {"name": "list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_schemas", "macro_sql": "{% macro list_schemas(database) -%}\n  {{ return(adapter.dispatch('list_schemas', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__list_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7095659, "supported_languages": null}, "macro.dbt.default__list_schemas": {"name": "default__list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_schemas", "macro_sql": "{% macro default__list_schemas(database) -%}\n  {% set sql %}\n    select distinct schema_name\n    from {{ information_schema_name(database) }}.SCHEMATA\n    where catalog_name ilike '{{ database }}'\n  {% endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.information_schema_name", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.710219, "supported_languages": null}, "macro.dbt.check_schema_exists": {"name": "check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.check_schema_exists", "macro_sql": "{% macro check_schema_exists(information_schema, schema) -%}\n  {{ return(adapter.dispatch('check_schema_exists', 'dbt')(information_schema, schema)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__check_schema_exists"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7107708, "supported_languages": null}, "macro.dbt.default__check_schema_exists": {"name": "default__check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__check_schema_exists", "macro_sql": "{% macro default__check_schema_exists(information_schema, schema) -%}\n  {% set sql -%}\n        select count(*)\n        from {{ information_schema.replace(information_schema_view='SCHEMATA') }}\n        where catalog_name='{{ information_schema.database }}'\n          and schema_name='{{ schema }}'\n  {%- endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7117581, "supported_languages": null}, "macro.dbt.list_relations_without_caching": {"name": "list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_relations_without_caching", "macro_sql": "{% macro list_relations_without_caching(schema_relation) %}\n  {{ return(adapter.dispatch('list_relations_without_caching', 'dbt')(schema_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__list_relations_without_caching"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7122612, "supported_languages": null}, "macro.dbt.default__list_relations_without_caching": {"name": "default__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_relations_without_caching", "macro_sql": "{% macro default__list_relations_without_caching(schema_relation) %}\n  {{ exceptions.raise_not_implemented(\n    'list_relations_without_caching macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.712702, "supported_languages": null}, "macro.dbt.drop_relation": {"name": "drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.drop_relation", "macro_sql": "{% macro drop_relation(relation) -%}\n    {{ return(adapter.dispatch('drop_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.714602, "supported_languages": null}, "macro.dbt.default__drop_relation": {"name": "default__drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.default__drop_relation", "macro_sql": "{% macro default__drop_relation(relation) -%}\n    {% call statement('drop_relation', auto_begin=False) -%}\n        {%- if relation.is_table -%}\n            {{- drop_table(relation) -}}\n        {%- elif relation.is_view -%}\n            {{- drop_view(relation) -}}\n        {%- elif relation.is_materialized_view -%}\n            {{- drop_materialized_view(relation) -}}\n        {%- else -%}\n            drop {{ relation.type }} if exists {{ relation }} cascade\n        {%- endif -%}\n    {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.drop_table", "macro.dbt.drop_view", "macro.dbt.drop_materialized_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7157812, "supported_languages": null}, "macro.dbt.drop_table": {"name": "drop_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.drop_table", "macro_sql": "{% macro drop_table(relation) -%}\n  {{ return(adapter.dispatch('drop_table', 'dbt')(relation)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__drop_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7162712, "supported_languages": null}, "macro.dbt.default__drop_table": {"name": "default__drop_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.default__drop_table", "macro_sql": "{% macro default__drop_table(relation) -%}\n    drop table if exists {{ relation }} cascade\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7165492, "supported_languages": null}, "macro.dbt.drop_view": {"name": "drop_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.drop_view", "macro_sql": "{% macro drop_view(relation) -%}\n  {{ return(adapter.dispatch('drop_view', 'dbt')(relation)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__drop_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.716994, "supported_languages": null}, "macro.dbt.default__drop_view": {"name": "default__drop_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.default__drop_view", "macro_sql": "{% macro default__drop_view(relation) -%}\n    drop view if exists {{ relation }} cascade\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.717323, "supported_languages": null}, "macro.dbt.drop_materialized_view": {"name": "drop_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.drop_materialized_view", "macro_sql": "{% macro drop_materialized_view(relation) -%}\n  {{ return(adapter.dispatch('drop_materialized_view', 'dbt')(relation)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__drop_materialized_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.717782, "supported_languages": null}, "macro.dbt.default__drop_materialized_view": {"name": "default__drop_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/drop_relation.sql", "original_file_path": "macros/adapters/drop_relation.sql", "unique_id": "macro.dbt.default__drop_materialized_view", "macro_sql": "{% macro default__drop_materialized_view(relation) -%}\n    drop materialized view if exists {{ relation }} cascade\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.718092, "supported_languages": null}, "macro.dbt.get_columns_in_relation": {"name": "get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_relation", "macro_sql": "{% macro get_columns_in_relation(relation) -%}\n  {{ return(adapter.dispatch('get_columns_in_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.722336, "supported_languages": null}, "macro.dbt.default__get_columns_in_relation": {"name": "default__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_relation", "macro_sql": "{% macro default__get_columns_in_relation(relation) -%}\n  {{ exceptions.raise_not_implemented(\n    'get_columns_in_relation macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.722771, "supported_languages": null}, "macro.dbt.sql_convert_columns_in_relation": {"name": "sql_convert_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.sql_convert_columns_in_relation", "macro_sql": "{% macro sql_convert_columns_in_relation(table) -%}\n  {% set columns = [] %}\n  {% for row in table %}\n    {% do columns.append(api.Column(*row)) %}\n  {% endfor %}\n  {{ return(columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.723586, "supported_languages": null}, "macro.dbt.get_empty_subquery_sql": {"name": "get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_subquery_sql", "macro_sql": "{% macro get_empty_subquery_sql(select_sql, select_sql_header=none) -%}\n  {{ return(adapter.dispatch('get_empty_subquery_sql', 'dbt')(select_sql, select_sql_header)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.724166, "supported_languages": null}, "macro.dbt.default__get_empty_subquery_sql": {"name": "default__get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_subquery_sql", "macro_sql": "{% macro default__get_empty_subquery_sql(select_sql, select_sql_header=none) %}\n    {%- if select_sql_header is not none -%}\n    {{ select_sql_header }}\n    {%- endif -%}\n    select * from (\n        {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.724714, "supported_languages": null}, "macro.dbt.get_empty_schema_sql": {"name": "get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_schema_sql", "macro_sql": "{% macro get_empty_schema_sql(columns) -%}\n  {{ return(adapter.dispatch('get_empty_schema_sql', 'dbt')(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7252018, "supported_languages": null}, "macro.dbt.default__get_empty_schema_sql": {"name": "default__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_schema_sql", "macro_sql": "{% macro default__get_empty_schema_sql(columns) %}\n    {%- set col_err = [] -%}\n    select\n    {% for i in columns %}\n      {%- set col = columns[i] -%}\n      {%- if col['data_type'] is not defined -%}\n        {{ col_err.append(col['name']) }}\n      {%- endif -%}\n      {% set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] %}\n      cast(null as {{ col['data_type'] }}) as {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n    {%- if (col_err | length) > 0 -%}\n      {{ exceptions.column_type_missing(column_names=col_err) }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7273002, "supported_languages": null}, "macro.dbt.get_column_schema_from_query": {"name": "get_column_schema_from_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_column_schema_from_query", "macro_sql": "{% macro get_column_schema_from_query(select_sql, select_sql_header=none) -%}\n    {% set columns = [] %}\n    {# -- Using an 'empty subquery' here to get the same schema as the given select_sql statement, without necessitating a data scan.#}\n    {% set sql = get_empty_subquery_sql(select_sql, select_sql_header) %}\n    {% set column_schema = adapter.get_column_schema_from_query(sql) %}\n    {{ return(column_schema) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.728213, "supported_languages": null}, "macro.dbt.get_columns_in_query": {"name": "get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_query", "macro_sql": "{% macro get_columns_in_query(select_sql) -%}\n  {{ return(adapter.dispatch('get_columns_in_query', 'dbt')(select_sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7287092, "supported_languages": null}, "macro.dbt.default__get_columns_in_query": {"name": "default__get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_query", "macro_sql": "{% macro default__get_columns_in_query(select_sql) %}\n    {% call statement('get_columns_in_query', fetch_result=True, auto_begin=False) -%}\n        {{ get_empty_subquery_sql(select_sql) }}\n    {% endcall %}\n    {{ return(load_result('get_columns_in_query').table.columns | map(attribute='name') | list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7296152, "supported_languages": null}, "macro.dbt.alter_column_type": {"name": "alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_column_type", "macro_sql": "{% macro alter_column_type(relation, column_name, new_column_type) -%}\n  {{ return(adapter.dispatch('alter_column_type', 'dbt')(relation, column_name, new_column_type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7303722, "supported_languages": null}, "macro.dbt.default__alter_column_type": {"name": "default__alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_column_type", "macro_sql": "{% macro default__alter_column_type(relation, column_name, new_column_type) -%}\n  {#\n    1. Create a new column (w/ temp name and correct type)\n    2. Copy data over to it\n    3. Drop the existing column (cascade!)\n    4. Rename the new column to existing column\n  #}\n  {%- set tmp_column = column_name + \"__dbt_alter\" -%}\n\n  {% call statement('alter_column_type') %}\n    alter table {{ relation }} add column {{ adapter.quote(tmp_column) }} {{ new_column_type }};\n    update {{ relation }} set {{ adapter.quote(tmp_column) }} = {{ adapter.quote(column_name) }};\n    alter table {{ relation }} drop column {{ adapter.quote(column_name) }} cascade;\n    alter table {{ relation }} rename column {{ adapter.quote(tmp_column) }} to {{ adapter.quote(column_name) }}\n  {% endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.731936, "supported_languages": null}, "macro.dbt.alter_relation_add_remove_columns": {"name": "alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_relation_add_remove_columns", "macro_sql": "{% macro alter_relation_add_remove_columns(relation, add_columns = none, remove_columns = none) -%}\n  {{ return(adapter.dispatch('alter_relation_add_remove_columns', 'dbt')(relation, add_columns, remove_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_add_remove_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7326021, "supported_languages": null}, "macro.dbt.default__alter_relation_add_remove_columns": {"name": "default__alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_relation_add_remove_columns", "macro_sql": "{% macro default__alter_relation_add_remove_columns(relation, add_columns, remove_columns) %}\n\n  {% if add_columns is none %}\n    {% set add_columns = [] %}\n  {% endif %}\n  {% if remove_columns is none %}\n    {% set remove_columns = [] %}\n  {% endif %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n            {% for column in add_columns %}\n               add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n            {% endfor %}{{ ',' if add_columns and remove_columns }}\n\n            {% for column in remove_columns %}\n                drop column {{ column.name }}{{ ',' if not loop.last }}\n            {% endfor %}\n\n  {%- endset -%}\n\n  {% do run_query(sql) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7349749, "supported_languages": null}, "macro.dbt.resolve_model_name": {"name": "resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.resolve_model_name", "macro_sql": "{% macro resolve_model_name(input_model_name) %}\n    {{ return(adapter.dispatch('resolve_model_name', 'dbt')(input_model_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.738063, "supported_languages": null}, "macro.dbt.default__resolve_model_name": {"name": "default__resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.default__resolve_model_name", "macro_sql": "\n\n{%- macro default__resolve_model_name(input_model_name) -%}\n    {{  input_model_name | string | replace('\"', '\\\"') }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.738474, "supported_languages": null}, "macro.dbt.build_ref_function": {"name": "build_ref_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_ref_function", "macro_sql": "{% macro build_ref_function(model) %}\n\n    {%- set ref_dict = {} -%}\n    {%- for _ref in model.refs -%}\n        {% set _ref_args = [_ref.get('package'), _ref['name']] if _ref.get('package') else [_ref['name'],] %}\n        {%- set resolved = ref(*_ref_args, v=_ref.get('version')) -%}\n        {%- if _ref.get('version') -%}\n            {% do _ref_args.extend([\"v\" ~ _ref['version']]) %}\n        {%- endif -%}\n       {%- do ref_dict.update({_ref_args | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef ref(*args, **kwargs):\n    refs = {{ ref_dict | tojson }}\n    key = '.'.join(args)\n    version = kwargs.get(\"v\") or kwargs.get(\"version\")\n    if version:\n        key += f\".v{version}\"\n    dbt_load_df_function = kwargs.get(\"dbt_load_df_function\")\n    return dbt_load_df_function(refs[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7405179, "supported_languages": null}, "macro.dbt.build_source_function": {"name": "build_source_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_source_function", "macro_sql": "{% macro build_source_function(model) %}\n\n    {%- set source_dict = {} -%}\n    {%- for _source in model.sources -%}\n        {%- set resolved = source(*_source) -%}\n        {%- do source_dict.update({_source | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef source(*args, dbt_load_df_function):\n    sources = {{ source_dict | tojson }}\n    key = '.'.join(args)\n    return dbt_load_df_function(sources[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.741556, "supported_languages": null}, "macro.dbt.build_config_dict": {"name": "build_config_dict", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_config_dict", "macro_sql": "{% macro build_config_dict(model) %}\n    {%- set config_dict = {} -%}\n    {% set config_dbt_used = zip(model.config.config_keys_used, model.config.config_keys_defaults) | list %}\n    {%- for key, default in config_dbt_used -%}\n        {# weird type testing with enum, would be much easier to write this logic in Python! #}\n        {%- if key == \"language\" -%}\n          {%- set value = \"python\" -%}\n        {%- endif -%}\n        {%- set value = model.config.get(key, default) -%}\n        {%- do config_dict.update({key: value}) -%}\n    {%- endfor -%}\nconfig_dict = {{ config_dict }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7430332, "supported_languages": null}, "macro.dbt.py_script_postfix": {"name": "py_script_postfix", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_postfix", "macro_sql": "{% macro py_script_postfix(model) %}\n# This part is user provided model code\n# you will need to copy the next section to run the code\n# COMMAND ----------\n# this part is dbt logic for get ref work, do not modify\n\n{{ build_ref_function(model ) }}\n{{ build_source_function(model ) }}\n{{ build_config_dict(model) }}\n\nclass config:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    @staticmethod\n    def get(key, default=None):\n        return config_dict.get(key, default)\n\nclass this:\n    \"\"\"dbt.this() or dbt.this.identifier\"\"\"\n    database = \"{{ this.database }}\"\n    schema = \"{{ this.schema }}\"\n    identifier = \"{{ this.identifier }}\"\n    {% set this_relation_name = resolve_model_name(this) %}\n    def __repr__(self):\n        return '{{ this_relation_name  }}'\n\n\nclass dbtObj:\n    def __init__(self, load_df_function) -> None:\n        self.source = lambda *args: source(*args, dbt_load_df_function=load_df_function)\n        self.ref = lambda *args, **kwargs: ref(*args, **kwargs, dbt_load_df_function=load_df_function)\n        self.config = config\n        self.this = this()\n        self.is_incremental = {{ is_incremental() }}\n\n# COMMAND ----------\n{{py_script_comment()}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.build_ref_function", "macro.dbt.build_source_function", "macro.dbt.build_config_dict", "macro.dbt.resolve_model_name", "macro.dbt.is_incremental", "macro.dbt.py_script_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.744204, "supported_languages": null}, "macro.dbt.py_script_comment": {"name": "py_script_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_comment", "macro_sql": "{%macro py_script_comment()%}\n{%endmacro%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.744401, "supported_languages": null}, "macro.dbt.test_unique": {"name": "test_unique", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_unique", "macro_sql": "{% test unique(model, column_name) %}\n    {% set macro = adapter.dispatch('test_unique', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__test_unique"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.745475, "supported_languages": null}, "macro.dbt.test_not_null": {"name": "test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_not_null", "macro_sql": "{% test not_null(model, column_name) %}\n    {% set macro = adapter.dispatch('test_not_null', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.746034, "supported_languages": null}, "macro.dbt.test_accepted_values": {"name": "test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_accepted_values", "macro_sql": "{% test accepted_values(model, column_name, values, quote=True) %}\n    {% set macro = adapter.dispatch('test_accepted_values', 'dbt') %}\n    {{ macro(model, column_name, values, quote) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.746716, "supported_languages": null}, "macro.dbt.test_relationships": {"name": "test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_relationships", "macro_sql": "{% test relationships(model, column_name, to, field) %}\n    {% set macro = adapter.dispatch('test_relationships', 'dbt') %}\n    {{ macro(model, column_name, to, field) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_relationships"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.747369, "supported_languages": null}, "macro.dbt_utils.get_url_host": {"name": "get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.get_url_host", "macro_sql": "{% macro get_url_host(field) -%}\n    {{ return(adapter.dispatch('get_url_host', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_host"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.748078, "supported_languages": null}, "macro.dbt_utils.default__get_url_host": {"name": "default__get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.default__get_url_host", "macro_sql": "{% macro default__get_url_host(field) -%}\n\n{%- set parsed =\n    dbt.split_part(\n        dbt.split_part(\n            dbt.replace(\n                dbt.replace(\n                    dbt.replace(field, \"'android-app://'\", \"''\"\n                    ), \"'http://'\", \"''\"\n                ), \"'https://'\", \"''\"\n            ), \"'/'\", 1\n        ), \"'?'\", 1\n    )\n\n-%}\n\n\n    {{ dbt.safe_cast(\n        parsed,\n        dbt.type_string()\n        )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part", "macro.dbt.replace", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.749135, "supported_languages": null}, "macro.dbt_utils.get_url_path": {"name": "get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.get_url_path", "macro_sql": "{% macro get_url_path(field) -%}\n    {{ return(adapter.dispatch('get_url_path', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_path"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.74999, "supported_languages": null}, "macro.dbt_utils.default__get_url_path": {"name": "default__get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.default__get_url_path", "macro_sql": "{% macro default__get_url_path(field) -%}\n\n    {%- set stripped_url =\n        dbt.replace(\n            dbt.replace(field, \"'http://'\", \"''\"), \"'https://'\", \"''\")\n    -%}\n\n    {%- set first_slash_pos -%}\n        coalesce(\n            nullif({{ dbt.position(\"'/'\", stripped_url) }}, 0),\n            {{ dbt.position(\"'?'\", stripped_url) }} - 1\n            )\n    {%- endset -%}\n\n    {%- set parsed_path =\n        dbt.split_part(\n            dbt.right(\n                stripped_url,\n                dbt.length(stripped_url) ~ \"-\" ~ first_slash_pos\n                ),\n            \"'?'\", 1\n            )\n    -%}\n\n    {{ dbt.safe_cast(\n        parsed_path,\n        dbt.type_string()\n    )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.position", "macro.dbt.split_part", "macro.dbt.right", "macro.dbt.length", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.751362, "supported_languages": null}, "macro.dbt_utils.get_url_parameter": {"name": "get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.get_url_parameter", "macro_sql": "{% macro get_url_parameter(field, url_parameter) -%}\n    {{ return(adapter.dispatch('get_url_parameter', 'dbt_utils')(field, url_parameter)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.751988, "supported_languages": null}, "macro.dbt_utils.default__get_url_parameter": {"name": "default__get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.default__get_url_parameter", "macro_sql": "{% macro default__get_url_parameter(field, url_parameter) -%}\n\n{%- set formatted_url_parameter = \"'\" + url_parameter + \"='\" -%}\n\n{%- set split = dbt.split_part(dbt.split_part(field, formatted_url_parameter, 2), \"'&'\", 1) -%}\n\nnullif({{ split }},'')\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.75266, "supported_languages": null}, "macro.dbt_utils.test_fewer_rows_than": {"name": "test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.test_fewer_rows_than", "macro_sql": "{% test fewer_rows_than(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_fewer_rows_than', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_fewer_rows_than"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7549062, "supported_languages": null}, "macro.dbt_utils.default__test_fewer_rows_than": {"name": "default__test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.default__test_fewer_rows_than", "macro_sql": "{% macro default__test_fewer_rows_than(model, compare_model, group_by_columns) %}\n\n{{ config(fail_calc = 'sum(coalesce(row_count_delta, 0))') }}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in equal_rowcount. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_fewer_rows_than'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_our_model \n    from {{ model }}\n    {{ groupby_gb_cols }}\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_comparison_model \n    from {{ compare_model }}\n    {{ groupby_gb_cols }}\n\n),\ncounts as (\n\n    select\n\n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_our_model,\n        count_comparison_model\n    from a\n    full join b on \n    a.id_dbtutils_test_fewer_rows_than = b.id_dbtutils_test_fewer_rows_than\n    {{ join_gb_cols }}\n\n),\nfinal as (\n\n    select *,\n        case\n            -- fail the test if we have more rows than the reference model and return the row count delta\n            when count_our_model > count_comparison_model then (count_our_model - count_comparison_model)\n            -- fail the test if they are the same number\n            when count_our_model = count_comparison_model then 1\n            -- pass the test if the delta is positive (i.e. return the number 0)\n            else 0\n    end as row_count_delta\n    from counts\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.757231, "supported_languages": null}, "macro.dbt_utils.test_equal_rowcount": {"name": "test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.test_equal_rowcount", "macro_sql": "{% test equal_rowcount(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_equal_rowcount', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equal_rowcount"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.758653, "supported_languages": null}, "macro.dbt_utils.default__test_equal_rowcount": {"name": "default__test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.default__test_equal_rowcount", "macro_sql": "{% macro default__test_equal_rowcount(model, compare_model, group_by_columns) %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'sum(coalesce(diff_count, 0))') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(', ') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in fewer_rows_than. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_equal_rowcount'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_a \n    from {{ model }}\n    {{groupby_gb_cols}}\n\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_b \n    from {{ compare_model }}\n    {{groupby_gb_cols}}\n\n),\nfinal as (\n\n    select\n    \n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_a,\n        count_b,\n        abs(count_a - count_b) as diff_count\n\n    from a\n    full join b\n    on\n    a.id_dbtutils_test_equal_rowcount = b.id_dbtutils_test_equal_rowcount\n    {{join_gb_cols}}\n\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7610781, "supported_languages": null}, "macro.dbt_utils.test_relationships_where": {"name": "test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.test_relationships_where", "macro_sql": "{% test relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n  {{ return(adapter.dispatch('test_relationships_where', 'dbt_utils')(model, column_name, to, field, from_condition, to_condition)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_relationships_where"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7622201, "supported_languages": null}, "macro.dbt_utils.default__test_relationships_where": {"name": "default__test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.default__test_relationships_where", "macro_sql": "{% macro default__test_relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n\n{# T-SQL has no boolean data type so we use 1=1 which returns TRUE #}\n{# ref https://stackoverflow.com/a/7170753/3842610 #}\n\nwith left_table as (\n\n  select\n    {{column_name}} as id\n\n  from {{model}}\n\n  where {{column_name}} is not null\n    and {{from_condition}}\n\n),\n\nright_table as (\n\n  select\n    {{field}} as id\n\n  from {{to}}\n\n  where {{field}} is not null\n    and {{to_condition}}\n\n),\n\nexceptions as (\n\n  select\n    left_table.id,\n    right_table.id as right_id\n\n  from left_table\n\n  left join right_table\n         on left_table.id = right_table.id\n\n  where right_table.id is null\n\n)\n\nselect * from exceptions\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.762932, "supported_languages": null}, "macro.dbt_utils.test_recency": {"name": "test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.test_recency", "macro_sql": "{% test recency(model, field, datepart, interval, ignore_time_component=False, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_recency', 'dbt_utils')(model, field, datepart, interval, ignore_time_component, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_recency"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7642298, "supported_languages": null}, "macro.dbt_utils.default__test_recency": {"name": "default__test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.default__test_recency", "macro_sql": "{% macro default__test_recency(model, field, datepart, interval, ignore_time_component, group_by_columns) %}\n\n{% set threshold = 'cast(' ~ dbt.dateadd(datepart, interval * -1, dbt.current_timestamp()) ~ ' as ' ~ ('date' if ignore_time_component else dbt.type_timestamp()) ~ ')'  %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nwith recency as (\n\n    select \n\n      {{ select_gb_cols }}\n      {% if ignore_time_component %}\n        cast(max({{ field }}) as date) as most_recent\n      {%- else %}\n        max({{ field }}) as most_recent\n      {%- endif %}\n\n    from {{ model }}\n\n    {{ groupby_gb_cols }}\n\n)\n\nselect\n\n    {{ select_gb_cols }}\n    most_recent,\n    {{ threshold }} as threshold\n\nfrom recency\nwhere most_recent < {{ threshold }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.current_timestamp", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7659469, "supported_languages": null}, "macro.dbt_utils.test_not_constant": {"name": "test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.test_not_constant", "macro_sql": "{% test not_constant(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_constant', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_constant"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.766779, "supported_languages": null}, "macro.dbt_utils.default__test_not_constant": {"name": "default__test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.default__test_not_constant", "macro_sql": "{% macro default__test_not_constant(model, column_name, group_by_columns) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nselect\n    {# In TSQL, subquery aggregate columns need aliases #}\n    {# thus: a filler col name, 'filler_column' #}\n    {{select_gb_cols}}\n    count(distinct {{ column_name }}) as filler_column\n\nfrom {{ model }}\n\n  {{groupby_gb_cols}}\n\nhaving count(distinct {{ column_name }}) = 1\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.767746, "supported_languages": null}, "macro.dbt_utils.test_accepted_range": {"name": "test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.test_accepted_range", "macro_sql": "{% test accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n  {{ return(adapter.dispatch('test_accepted_range', 'dbt_utils')(model, column_name, min_value, max_value, inclusive)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_accepted_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.769269, "supported_languages": null}, "macro.dbt_utils.default__test_accepted_range": {"name": "default__test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.default__test_accepted_range", "macro_sql": "{% macro default__test_accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n\nwith meet_condition as(\n  select *\n  from {{ model }}\n),\n\nvalidation_errors as (\n  select *\n  from meet_condition\n  where\n    -- never true, defaults to an empty result set. Exists to ensure any combo of the `or` clauses below succeeds\n    1 = 2\n\n  {%- if min_value is not none %}\n    -- records with a value >= min_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} > {{- \"=\" if inclusive }} {{ min_value }}\n  {%- endif %}\n\n  {%- if max_value is not none %}\n    -- records with a value <= max_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} < {{- \"=\" if inclusive }} {{ max_value }}\n  {%- endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.771494, "supported_languages": null}, "macro.dbt_utils.test_not_accepted_values": {"name": "test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.test_not_accepted_values", "macro_sql": "{% test not_accepted_values(model, column_name, values, quote=True) %}\n  {{ return(adapter.dispatch('test_not_accepted_values', 'dbt_utils')(model, column_name, values, quote)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.77297, "supported_languages": null}, "macro.dbt_utils.default__test_not_accepted_values": {"name": "default__test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.default__test_not_accepted_values", "macro_sql": "{% macro default__test_not_accepted_values(model, column_name, values, quote=True) %}\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as value_field\n\n    from {{ model }}\n\n),\n\nvalidation_errors as (\n\n    select\n        value_field\n\n    from all_values\n    where value_field in (\n        {% for value in values -%}\n            {% if quote -%}\n            '{{ value }}'\n            {%- else -%}\n            {{ value }}\n            {%- endif -%}\n            {%- if not loop.last -%},{%- endif %}\n        {%- endfor %}\n        )\n\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.773824, "supported_languages": null}, "macro.dbt_utils.test_at_least_one": {"name": "test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.test_at_least_one", "macro_sql": "{% test at_least_one(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_at_least_one', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_at_least_one"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7755861, "supported_languages": null}, "macro.dbt_utils.default__test_at_least_one": {"name": "default__test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.default__test_at_least_one", "macro_sql": "{% macro default__test_at_least_one(model, column_name, group_by_columns) %}\n\n{% set pruned_cols = [column_name] %}\n\n{% if group_by_columns|length() > 0 %}\n\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n  {% set pruned_cols = group_by_columns %}\n\n  {% if column_name not in pruned_cols %}\n    {% do pruned_cols.append(column_name) %}\n  {% endif %}\n\n{% endif %}\n\n{% set select_pruned_cols = pruned_cols|join(' ,') %}\n\nselect *\nfrom (\n    with pruned_rows as (\n      select\n        {{ select_pruned_cols }}\n      from {{ model }}\n      where {{ column_name }} is not null\n      limit 1\n    )\n    select\n        {# In TSQL, subquery aggregate columns need aliases #}\n        {# thus: a filler col name, 'filler_column' #}\n      {{select_gb_cols}}\n      count({{ column_name }}) as filler_column\n\n    from pruned_rows\n\n    {{groupby_gb_cols}}\n\n    having count({{ column_name }}) = 0\n\n) validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.777868, "supported_languages": null}, "macro.dbt_utils.test_unique_combination_of_columns": {"name": "test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.test_unique_combination_of_columns", "macro_sql": "{% test unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n  {{ return(adapter.dispatch('test_unique_combination_of_columns', 'dbt_utils')(model, combination_of_columns, quote_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_unique_combination_of_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.779098, "supported_languages": null}, "macro.dbt_utils.default__test_unique_combination_of_columns": {"name": "default__test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.default__test_unique_combination_of_columns", "macro_sql": "{% macro default__test_unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n\n{% if not quote_columns %}\n    {%- set column_list=combination_of_columns %}\n{% elif quote_columns %}\n    {%- set column_list=[] %}\n        {% for column in combination_of_columns -%}\n            {% set column_list = column_list.append( adapter.quote(column) ) %}\n        {%- endfor %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`quote_columns` argument for unique_combination_of_columns test must be one of [True, False] Got: '\" ~ quote ~\"'.'\"\n    ) }}\n{% endif %}\n\n{%- set columns_csv=column_list | join(', ') %}\n\n\nwith validation_errors as (\n\n    select\n        {{ columns_csv }}\n    from {{ model }}\n    group by {{ columns_csv }}\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7806349, "supported_languages": null}, "macro.dbt_utils.test_cardinality_equality": {"name": "test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.test_cardinality_equality", "macro_sql": "{% test cardinality_equality(model, column_name, to, field) %}\n    {{ return(adapter.dispatch('test_cardinality_equality', 'dbt_utils')(model, column_name, to, field)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_cardinality_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.781755, "supported_languages": null}, "macro.dbt_utils.default__test_cardinality_equality": {"name": "default__test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.default__test_cardinality_equality", "macro_sql": "{% macro default__test_cardinality_equality(model, column_name, to, field) %}\n\n{# T-SQL does not let you use numbers as aliases for columns #}\n{# Thus, no \"GROUP BY 1\" #}\n\nwith table_a as (\nselect\n  {{ column_name }},\n  count(*) as num_rows\nfrom {{ model }}\ngroup by {{ column_name }}\n),\n\ntable_b as (\nselect\n  {{ field }},\n  count(*) as num_rows\nfrom {{ to }}\ngroup by {{ field }}\n),\n\nexcept_a as (\n  select *\n  from table_a\n  {{ dbt.except() }}\n  select *\n  from table_b\n),\n\nexcept_b as (\n  select *\n  from table_b\n  {{ dbt.except() }}\n  select *\n  from table_a\n),\n\nunioned as (\n  select *\n  from except_a\n  union all\n  select *\n  from except_b\n)\n\nselect *\nfrom unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.782625, "supported_languages": null}, "macro.dbt_utils.test_expression_is_true": {"name": "test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.test_expression_is_true", "macro_sql": "{% test expression_is_true(model, expression, column_name=None) %}\n  {{ return(adapter.dispatch('test_expression_is_true', 'dbt_utils')(model, expression, column_name)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.783604, "supported_languages": null}, "macro.dbt_utils.default__test_expression_is_true": {"name": "default__test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.default__test_expression_is_true", "macro_sql": "{% macro default__test_expression_is_true(model, expression, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else \"1\" %}\n\nselect\n    {{ column_list }}\nfrom {{ model }}\n{% if column_name is none %}\nwhere not({{ expression }})\n{%- else %}\nwhere not({{ column_name }} {{ expression }})\n{%- endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.785404, "supported_languages": null}, "macro.dbt_utils.test_not_null_proportion": {"name": "test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.test_not_null_proportion", "macro_sql": "{% macro test_not_null_proportion(model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_null_proportion', 'dbt_utils')(model, group_by_columns, **kwargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_null_proportion"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.787339, "supported_languages": null}, "macro.dbt_utils.default__test_not_null_proportion": {"name": "default__test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.default__test_not_null_proportion", "macro_sql": "{% macro default__test_not_null_proportion(model, group_by_columns) %}\n\n{% set column_name = kwargs.get('column_name', kwargs.get('arg')) %}\n{% set at_least = kwargs.get('at_least', kwargs.get('arg')) %}\n{% set at_most = kwargs.get('at_most', kwargs.get('arg', 1)) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith validation as (\n  select\n    {{select_gb_cols}}\n    sum(case when {{ column_name }} is null then 0 else 1 end) / cast(count(*) as numeric) as not_null_proportion\n  from {{ model }}\n  {{groupby_gb_cols}}\n),\nvalidation_errors as (\n  select\n    {{select_gb_cols}}\n    not_null_proportion\n  from validation\n  where not_null_proportion < {{ at_least }} or not_null_proportion > {{ at_most }}\n)\nselect\n  *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.789512, "supported_languages": null}, "macro.dbt_utils.test_sequential_values": {"name": "test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.test_sequential_values", "macro_sql": "{% test sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n  {{ return(adapter.dispatch('test_sequential_values', 'dbt_utils')(model, column_name, interval, datepart, group_by_columns)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_sequential_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.791359, "supported_languages": null}, "macro.dbt_utils.default__test_sequential_values": {"name": "default__test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.default__test_sequential_values", "macro_sql": "{% macro default__test_sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n{% set previous_column_name = \"previous_\" ~ dbt_utils.slugify(column_name) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(',') + ', ' %}\n  {% set partition_gb_cols = 'partition by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith windowed as (\n\n    select\n        {{ select_gb_cols }}\n        {{ column_name }},\n        lag({{ column_name }}) over (\n            {{partition_gb_cols}}\n            order by {{ column_name }}\n        ) as {{ previous_column_name }}\n    from {{ model }}\n),\n\nvalidation_errors as (\n    select\n        *\n    from windowed\n    {% if datepart %}\n    where not(cast({{ column_name }} as {{ dbt.type_timestamp() }})= cast({{ dbt.dateadd(datepart, interval, previous_column_name) }} as {{ dbt.type_timestamp() }}))\n    {% else %}\n    where not({{ column_name }} = {{ previous_column_name }} + {{ interval }})\n    {% endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.slugify", "macro.dbt.type_timestamp", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.793717, "supported_languages": null}, "macro.dbt_utils.test_equality": {"name": "test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.test_equality", "macro_sql": "{% test equality(model, compare_model, compare_columns=None) %}\n  {{ return(adapter.dispatch('test_equality', 'dbt_utils')(model, compare_model, compare_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.7953532, "supported_languages": null}, "macro.dbt_utils.default__test_equality": {"name": "default__test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.default__test_equality", "macro_sql": "{% macro default__test_equality(model, compare_model, compare_columns=None) %}\n\n{% set set_diff %}\n    count(*) + coalesce(abs(\n        sum(case when which_diff = 'a_minus_b' then 1 else 0 end) -\n        sum(case when which_diff = 'b_minus_a' then 1 else 0 end)\n    ), 0)\n{% endset %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = set_diff) }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n-- setup\n{%- do dbt_utils._is_relation(model, 'test_equality') -%}\n\n{#-\nIf the compare_cols arg is provided, we can run this test without querying the\ninformation schema\u00a0\u2014 this allows the model to be an ephemeral model\n-#}\n\n{%- if not compare_columns -%}\n    {%- do dbt_utils._is_ephemeral(model, 'test_equality') -%}\n    {%- set compare_columns = adapter.get_columns_in_relation(model) | map(attribute='quoted') -%}\n{%- endif -%}\n\n{% set compare_cols_csv = compare_columns | join(', ') %}\n\nwith a as (\n\n    select * from {{ model }}\n\n),\n\nb as (\n\n    select * from {{ compare_model }}\n\n),\n\na_minus_b as (\n\n    select {{compare_cols_csv}} from a\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from b\n\n),\n\nb_minus_a as (\n\n    select {{compare_cols_csv}} from b\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from a\n\n),\n\nunioned as (\n\n    select 'a_minus_b' as which_diff, a_minus_b.* from a_minus_b\n    union all\n    select 'b_minus_a' as which_diff, b_minus_a.* from b_minus_a\n\n)\n\nselect * from unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.797651, "supported_languages": null}, "macro.dbt_utils.test_not_empty_string": {"name": "test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.test_not_empty_string", "macro_sql": "{% test not_empty_string(model, column_name, trim_whitespace=true) %}\n\n  {{ return(adapter.dispatch('test_not_empty_string', 'dbt_utils')(model, column_name, trim_whitespace)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_empty_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.798757, "supported_languages": null}, "macro.dbt_utils.default__test_not_empty_string": {"name": "default__test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.default__test_not_empty_string", "macro_sql": "{% macro default__test_not_empty_string(model, column_name, trim_whitespace=true) %}\n\n    with\n    \n    all_values as (\n\n        select \n\n\n            {% if trim_whitespace == true -%}\n\n                trim({{ column_name }}) as {{ column_name }}\n\n            {%- else -%}\n\n                {{ column_name }}\n\n            {%- endif %}\n            \n        from {{ model }}\n\n    ),\n\n    errors as (\n\n        select * from all_values\n        where {{ column_name }} = ''\n\n    )\n\n    select * from errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.79953, "supported_languages": null}, "macro.dbt_utils.test_mutually_exclusive_ranges": {"name": "test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.test_mutually_exclusive_ranges", "macro_sql": "{% test mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n  {{ return(adapter.dispatch('test_mutually_exclusive_ranges', 'dbt_utils')(model, lower_bound_column, upper_bound_column, partition_by, gaps, zero_length_range_allowed)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_mutually_exclusive_ranges"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.805732, "supported_languages": null}, "macro.dbt_utils.default__test_mutually_exclusive_ranges": {"name": "default__test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.default__test_mutually_exclusive_ranges", "macro_sql": "{% macro default__test_mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n{% if gaps == 'not_allowed' %}\n    {% set allow_gaps_operator='=' %}\n    {% set allow_gaps_operator_in_words='equal_to' %}\n{% elif gaps == 'allowed' %}\n    {% set allow_gaps_operator='<=' %}\n    {% set allow_gaps_operator_in_words='less_than_or_equal_to' %}\n{% elif gaps == 'required' %}\n    {% set allow_gaps_operator='<' %}\n    {% set allow_gaps_operator_in_words='less_than' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`gaps` argument for mutually_exclusive_ranges test must be one of ['not_allowed', 'allowed', 'required'] Got: '\" ~ gaps ~\"'.'\"\n    ) }}\n{% endif %}\n{% if not zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<' %}\n    {% set allow_zero_length_operator_in_words='less_than' %}\n{% elif zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<=' %}\n    {% set allow_zero_length_operator_in_words='less_than_or_equal_to' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`zero_length_range_allowed` argument for mutually_exclusive_ranges test must be one of [true, false] Got: '\" ~ zero_length_range_allowed ~\"'.'\"\n    ) }}\n{% endif %}\n\n{% set partition_clause=\"partition by \" ~ partition_by if partition_by else '' %}\n\nwith window_functions as (\n\n    select\n        {% if partition_by %}\n        {{ partition_by }} as partition_by_col,\n        {% endif %}\n        {{ lower_bound_column }} as lower_bound,\n        {{ upper_bound_column }} as upper_bound,\n\n        lead({{ lower_bound_column }}) over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }}, {{ upper_bound_column }}\n        ) as next_lower_bound,\n\n        row_number() over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }} desc, {{ upper_bound_column }} desc\n        ) = 1 as is_last_record\n\n    from {{ model }}\n\n),\n\ncalc as (\n    -- We want to return records where one of our assumptions fails, so we'll use\n    -- the `not` function with `and` statements so we can write our assumptions more cleanly\n    select\n        *,\n\n        -- For each record: lower_bound should be < upper_bound.\n        -- Coalesce it to return an error on the null case (implicit assumption\n        -- these columns are not_null)\n        coalesce(\n            lower_bound {{ allow_zero_length_operator }} upper_bound,\n            false\n        ) as lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound,\n\n        -- For each record: upper_bound {{ allow_gaps_operator }} the next lower_bound.\n        -- Coalesce it to handle null cases for the last record.\n        coalesce(\n            upper_bound {{ allow_gaps_operator }} next_lower_bound,\n            is_last_record,\n            false\n        ) as upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n\n    from window_functions\n\n),\n\nvalidation_errors as (\n\n    select\n        *\n    from calc\n\n    where not(\n        -- THE FOLLOWING SHOULD BE TRUE --\n        lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound\n        and upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n    )\n)\n\nselect * from validation_errors\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.809803, "supported_languages": null}, "macro.dbt_utils.pretty_log_format": {"name": "pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.pretty_log_format", "macro_sql": "{% macro pretty_log_format(message) %}\n    {{ return(adapter.dispatch('pretty_log_format', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.810549, "supported_languages": null}, "macro.dbt_utils.default__pretty_log_format": {"name": "default__pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.default__pretty_log_format", "macro_sql": "{% macro default__pretty_log_format(message) %}\n    {{ return( dbt_utils.pretty_time() ~ ' + ' ~ message) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.810994, "supported_languages": null}, "macro.dbt_utils._is_relation": {"name": "_is_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_relation.sql", "original_file_path": "macros/jinja_helpers/_is_relation.sql", "unique_id": "macro.dbt_utils._is_relation", "macro_sql": "{% macro _is_relation(obj, macro) %}\n    {%- if not (obj is mapping and obj.get('metadata', {}).get('type', '').endswith('Relation')) -%}\n        {%- do exceptions.raise_compiler_error(\"Macro \" ~ macro ~ \" expected a Relation but received the value: \" ~ obj) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.812095, "supported_languages": null}, "macro.dbt_utils.pretty_time": {"name": "pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.pretty_time", "macro_sql": "{% macro pretty_time(format='%H:%M:%S') %}\n    {{ return(adapter.dispatch('pretty_time', 'dbt_utils')(format)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.812789, "supported_languages": null}, "macro.dbt_utils.default__pretty_time": {"name": "default__pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.default__pretty_time", "macro_sql": "{% macro default__pretty_time(format='%H:%M:%S') %}\n    {{ return(modules.datetime.datetime.now().strftime(format)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.813304, "supported_languages": null}, "macro.dbt_utils.log_info": {"name": "log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.log_info", "macro_sql": "{% macro log_info(message) %}\n    {{ return(adapter.dispatch('log_info', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__log_info"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.813941, "supported_languages": null}, "macro.dbt_utils.default__log_info": {"name": "default__log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.default__log_info", "macro_sql": "{% macro default__log_info(message) %}\n    {{ log(dbt_utils.pretty_log_format(message), info=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.814403, "supported_languages": null}, "macro.dbt_utils.slugify": {"name": "slugify", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/slugify.sql", "original_file_path": "macros/jinja_helpers/slugify.sql", "unique_id": "macro.dbt_utils.slugify", "macro_sql": "{% macro slugify(string) %}\n\n{#- Lower case the string -#}\n{% set string = string | lower %}\n{#- Replace spaces and dashes with underscores -#}\n{% set string = modules.re.sub('[ -]+', '_', string) %}\n{#- Only take letters, numbers, and underscores -#}\n{% set string = modules.re.sub('[^a-z0-9_]+', '', string) %}\n{#- Prepends \"_\" if string begins with a number -#}\n{% set string = modules.re.sub('^[0-9]', '_' + string[0], string) %}\n\n{{ return(string) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.815955, "supported_languages": null}, "macro.dbt_utils._is_ephemeral": {"name": "_is_ephemeral", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_ephemeral.sql", "original_file_path": "macros/jinja_helpers/_is_ephemeral.sql", "unique_id": "macro.dbt_utils._is_ephemeral", "macro_sql": "{% macro _is_ephemeral(obj, macro) %}\n    {%- if obj.is_cte -%}\n        {% set ephemeral_prefix = api.Relation.add_ephemeral_prefix('') %}\n        {% if obj.name.startswith(ephemeral_prefix) %}\n            {% set model_name = obj.name[(ephemeral_prefix|length):] %}\n        {% else %}\n            {% set model_name = obj.name %}\n        {%- endif -%}\n        {% set error_message %}\nThe `{{ macro }}` macro cannot be used with ephemeral models, as it relies on the information schema.\n\n`{{ model_name }}` is an ephemeral model. Consider making it a view or table instead.\n        {% endset %}\n        {%- do exceptions.raise_compiler_error(error_message) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8181891, "supported_languages": null}, "macro.dbt_utils.get_intervals_between": {"name": "get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n    {{ return(adapter.dispatch('get_intervals_between', 'dbt_utils')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.819767, "supported_languages": null}, "macro.dbt_utils.default__get_intervals_between": {"name": "default__get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n    {%- call statement('get_intervals_between', fetch_result=True) %}\n\n        select {{ dbt.datediff(start_date, end_date, datepart) }}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_intervals_between') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values[0]) }}\n    {%- else -%}\n        {{ return(1) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.821502, "supported_languages": null}, "macro.dbt_utils.date_spine": {"name": "date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n    {{ return(adapter.dispatch('date_spine', 'dbt_utils')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.822109, "supported_languages": null}, "macro.dbt_utils.default__date_spine": {"name": "default__date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n\n{# call as follows:\n\ndate_spine(\n    \"day\",\n    \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n    \"dbt.dateadd(week, 1, current_date)\"\n) #}\n\n\nwith rawdata as (\n\n    {{dbt_utils.generate_series(\n        dbt_utils.get_intervals_between(start_date, end_date, datepart)\n    )}}\n\n),\n\nall_periods as (\n\n    select (\n        {{\n            dbt.dateadd(\n                datepart,\n                \"row_number() over (order by 1) - 1\",\n                start_date\n            )\n        }}\n    ) as date_{{datepart}}\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_{{datepart}} <= {{ end_date }}\n\n)\n\nselect * from filtered\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.generate_series", "macro.dbt_utils.get_intervals_between", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.82303, "supported_languages": null}, "macro.dbt_utils.safe_subtract": {"name": "safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.safe_subtract", "macro_sql": "{%- macro safe_subtract(field_list) -%}\n    {{ return(adapter.dispatch('safe_subtract', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_subtract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.823915, "supported_languages": null}, "macro.dbt_utils.default__safe_subtract": {"name": "default__safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.default__safe_subtract", "macro_sql": "\n\n{%- macro default__safe_subtract(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_subtract` macro takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' -\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.82533, "supported_languages": null}, "macro.dbt_utils.nullcheck_table": {"name": "nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.nullcheck_table", "macro_sql": "{% macro nullcheck_table(relation) %}\n    {{ return(adapter.dispatch('nullcheck_table', 'dbt_utils')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.826101, "supported_languages": null}, "macro.dbt_utils.default__nullcheck_table": {"name": "default__nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.default__nullcheck_table", "macro_sql": "{% macro default__nullcheck_table(relation) %}\n\n  {%- do dbt_utils._is_relation(relation, 'nullcheck_table') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'nullcheck_table') -%}\n  {% set cols = adapter.get_columns_in_relation(relation) %}\n\n  select {{ dbt_utils.nullcheck(cols) }}\n  from {{relation}}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.826994, "supported_languages": null}, "macro.dbt_utils.get_relations_by_pattern": {"name": "get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.get_relations_by_pattern", "macro_sql": "{% macro get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_pattern', 'dbt_utils')(schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.828442, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_pattern": {"name": "default__get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_pattern", "macro_sql": "{% macro default__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.83058, "supported_languages": null}, "macro.dbt_utils.get_powers_of_two": {"name": "get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n    {{ return(adapter.dispatch('get_powers_of_two', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.832219, "supported_languages": null}, "macro.dbt_utils.default__get_powers_of_two": {"name": "default__get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n    {% if upper_bound <= 0 %}\n    {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n    {% endif %}\n\n    {% for _ in range(1, 100) %}\n       {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n    {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.833282, "supported_languages": null}, "macro.dbt_utils.generate_series": {"name": "generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n    {{ return(adapter.dispatch('generate_series', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8337762, "supported_languages": null}, "macro.dbt_utils.default__generate_series": {"name": "default__generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n    {% set n = dbt_utils.get_powers_of_two(upper_bound) %}\n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    {% for i in range(n) %}\n    p{{i}}.generated_number * power(2, {{i}})\n    {% if not loop.last %} + {% endif %}\n    {% endfor %}\n    + 1\n    as generated_number\n\n    from\n\n    {% for i in range(n) %}\n    p as p{{i}}\n    {% if not loop.last %} cross join {% endif %}\n    {% endfor %}\n\n    )\n\n    select *\n    from unioned\n    where generated_number <= {{upper_bound}}\n    order by generated_number\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.835131, "supported_languages": null}, "macro.dbt_utils.get_relations_by_prefix": {"name": "get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.get_relations_by_prefix", "macro_sql": "{% macro get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_prefix', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.83659, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_prefix": {"name": "default__get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_prefix", "macro_sql": "{% macro default__get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_prefix_sql(schema, prefix, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8387818, "supported_languages": null}, "macro.dbt_utils.get_tables_by_prefix_sql": {"name": "get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_prefix_sql", "macro_sql": "{% macro get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_prefix_sql', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.839821, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_prefix_sql": {"name": "default__get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_prefix_sql", "macro_sql": "{% macro default__get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n\n    {{ dbt_utils.get_tables_by_pattern_sql(\n        schema_pattern = schema,\n        table_pattern = prefix ~ '%',\n        exclude = exclude,\n        database = database\n    ) }}\n    \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8405812, "supported_languages": null}, "macro.dbt_utils.star": {"name": "star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.star", "macro_sql": "{% macro star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {{ return(adapter.dispatch('star', 'dbt_utils')(from, relation_alias, except, prefix, suffix, quote_identifiers)) }}\r\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__star"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.843155, "supported_languages": null}, "macro.dbt_utils.default__star": {"name": "default__star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.default__star", "macro_sql": "{% macro default__star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {%- do dbt_utils._is_relation(from, 'star') -%}\r\n    {%- do dbt_utils._is_ephemeral(from, 'star') -%}\r\n\r\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\r\n    {%- if not execute -%}\r\n        {% do return('*') %}\r\n    {%- endif -%}\r\n\r\n    {% set cols = dbt_utils.get_filtered_columns_in_relation(from, except) %}\r\n\r\n    {%- if cols|length <= 0 -%}\r\n        {% if flags.WHICH == 'compile' %}\r\n            {% set response %}\r\n*\r\n/* No columns were returned. Maybe the relation doesn't exist yet \r\nor all columns were excluded. This star is only output during  \r\ndbt compile, and exists to keep SQLFluff happy. */\r\n            {% endset %}\r\n            {% do return(response) %}\r\n        {% else %}\r\n            {% do return(\"/* no columns returned from star() macro */\") %}\r\n        {% endif %}\r\n    {%- else -%}\r\n        {%- for col in cols %}\r\n            {%- if relation_alias %}{{ relation_alias }}.{% else %}{%- endif -%}\r\n                {%- if quote_identifiers -%}\r\n                    {{ adapter.quote(col)|trim }} {%- if prefix!='' or suffix!='' %} as {{ adapter.quote(prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {%- else -%}\r\n                    {{ col|trim }} {%- if prefix!='' or suffix!='' %} as {{ (prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {% endif %}\r\n            {%- if not loop.last %},{{ '\\n  ' }}{%- endif -%}\r\n        {%- endfor -%}\r\n    {% endif %}\r\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.847012, "supported_languages": null}, "macro.dbt_utils.unpivot": {"name": "unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.unpivot", "macro_sql": "{% macro unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n    {{ return(adapter.dispatch('unpivot', 'dbt_utils')(relation, cast_to, exclude, remove, field_name, value_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__unpivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.849997, "supported_languages": null}, "macro.dbt_utils.default__unpivot": {"name": "default__unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.default__unpivot", "macro_sql": "{% macro default__unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n\n    {% if not relation %}\n        {{ exceptions.raise_compiler_error(\"Error: argument `relation` is required for `unpivot` macro.\") }}\n    {% endif %}\n\n  {%- set exclude = exclude if exclude is not none else [] %}\n  {%- set remove = remove if remove is not none else [] %}\n\n  {%- set include_cols = [] %}\n\n  {%- set table_columns = {} %}\n\n  {%- do table_columns.update({relation: []}) %}\n\n  {%- do dbt_utils._is_relation(relation, 'unpivot') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'unpivot') -%}\n  {%- set cols = adapter.get_columns_in_relation(relation) %}\n\n  {%- for col in cols -%}\n    {%- if col.column.lower() not in remove|map('lower') and col.column.lower() not in exclude|map('lower') -%}\n      {% do include_cols.append(col) %}\n    {%- endif %}\n  {%- endfor %}\n\n\n  {%- for col in include_cols -%}\n    select\n      {%- for exclude_col in exclude %}\n        {{ exclude_col }},\n      {%- endfor %}\n\n      cast('{{ col.column }}' as {{ dbt.type_string() }}) as {{ field_name }},\n      cast(  {% if col.data_type == 'boolean' %}\n           {{ dbt.cast_bool_to_text(col.column) }}\n             {% else %}\n           {{ col.column }}\n             {% endif %}\n           as {{ cast_to }}) as {{ value_name }}\n\n    from {{ relation }}\n\n    {% if not loop.last -%}\n      union all\n    {% endif -%}\n  {%- endfor -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.type_string", "macro.dbt.cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.854211, "supported_languages": null}, "macro.dbt_utils.safe_divide": {"name": "safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.safe_divide", "macro_sql": "{% macro safe_divide(numerator, denominator) -%}\n  {{ return(adapter.dispatch('safe_divide', 'dbt_utils')(numerator, denominator)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_divide"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.855272, "supported_languages": null}, "macro.dbt_utils.default__safe_divide": {"name": "default__safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.default__safe_divide", "macro_sql": "{% macro default__safe_divide(numerator, denominator) %}\n    ( {{ numerator }} ) / nullif( ( {{ denominator }} ), 0)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.85566, "supported_languages": null}, "macro.dbt_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n    {{ return(adapter.dispatch('union_relations', 'dbt_utils')(relations, column_override, include, exclude, source_column_name, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8613482, "supported_languages": null}, "macro.dbt_utils.default__union_relations": {"name": "default__union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.default__union_relations", "macro_sql": "\n\n{%- macro default__union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n    {%- set all_excludes = [] -%}\n    {%- set all_includes = [] -%}\n\n    {%- if exclude -%}\n        {%- for exc in exclude -%}\n            {%- do all_excludes.append(exc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- if include -%}\n        {%- for inc in include -%}\n            {%- do all_includes.append(inc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- do dbt_utils._is_ephemeral(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column | lower in all_excludes -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column | lower not in all_includes -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n    {%- set dbt_command = flags.WHICH -%}\n\n\n    {% if dbt_command in ['run', 'build'] %}\n    {% if (include | length > 0 or exclude | length > 0) and not column_superset.keys() %}\n        {%- set relations_string -%}\n            {%- for relation in relations -%}\n                {{ relation.name }}\n            {%- if not loop.last %}, {% endif -%}\n            {%- endfor -%}\n        {%- endset -%}\n\n        {%- set error_message -%}\n            There were no columns found to union for relations {{ relations_string }}\n        {%- endset -%}\n\n        {{ exceptions.raise_compiler_error(error_message) }}\n    {%- endif -%}\n    {%- endif -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                {%- if source_column_name is not none %}\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {%- endif %}\n\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ relation }}\n\n            {% if where -%}\n            where {{ where }}\n            {%- endif %}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.870253, "supported_languages": null}, "macro.dbt_utils.group_by": {"name": "group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.group_by", "macro_sql": "{%- macro group_by(n) -%}\n    {{ return(adapter.dispatch('group_by', 'dbt_utils')(n)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__group_by"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.871092, "supported_languages": null}, "macro.dbt_utils.default__group_by": {"name": "default__group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.default__group_by", "macro_sql": "\n\n{%- macro default__group_by(n) -%}\n\n  group by {% for i in range(1, n + 1) -%}\n      {{ i }}{{ ',' if not loop.last }}   \n   {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8717592, "supported_languages": null}, "macro.dbt_utils.deduplicate": {"name": "deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.deduplicate", "macro_sql": "{%- macro deduplicate(relation, partition_by, order_by) -%}\n    {{ return(adapter.dispatch('deduplicate', 'dbt_utils')(relation, partition_by, order_by)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.873284, "supported_languages": null}, "macro.dbt_utils.default__deduplicate": {"name": "default__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.default__deduplicate", "macro_sql": "\n\n{%- macro default__deduplicate(relation, partition_by, order_by) -%}\n\n    with row_numbered as (\n        select\n            _inner.*,\n            row_number() over (\n                partition by {{ partition_by }}\n                order by {{ order_by }}\n            ) as rn\n        from {{ relation }} as _inner\n    )\n\n    select\n        distinct data.*\n    from {{ relation }} as data\n    {#\n    -- Not all DBs will support natural joins but the ones that do include:\n    -- Oracle, MySQL, SQLite, Redshift, Teradata, Materialize, Databricks\n    -- Apache Spark, SingleStore, Vertica\n    -- Those that do not appear to support natural joins include:\n    -- SQLServer, Trino, Presto, Rockset, Athena\n    #}\n    natural join row_numbered\n    where row_numbered.rn = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.873865, "supported_languages": null}, "macro.dbt_utils.redshift__deduplicate": {"name": "redshift__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.redshift__deduplicate", "macro_sql": "{% macro redshift__deduplicate(relation, partition_by, order_by) -%}\n\n    {{ return(dbt_utils.default__deduplicate(relation, partition_by, order_by=order_by)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.874479, "supported_languages": null}, "macro.dbt_utils.postgres__deduplicate": {"name": "postgres__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.postgres__deduplicate", "macro_sql": "\n{%- macro postgres__deduplicate(relation, partition_by, order_by) -%}\n\n    select\n        distinct on ({{ partition_by }}) *\n    from {{ relation }}\n    order by {{ partition_by }}{{ ',' ~ order_by }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.875021, "supported_languages": null}, "macro.dbt_utils.snowflake__deduplicate": {"name": "snowflake__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.snowflake__deduplicate", "macro_sql": "\n{%- macro snowflake__deduplicate(relation, partition_by, order_by) -%}\n\n    select *\n    from {{ relation }}\n    qualify\n        row_number() over (\n            partition by {{ partition_by }}\n            order by {{ order_by }}\n        ) = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8754802, "supported_languages": null}, "macro.dbt_utils.bigquery__deduplicate": {"name": "bigquery__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.bigquery__deduplicate", "macro_sql": "\n{%- macro bigquery__deduplicate(relation, partition_by, order_by) -%}\n\n    select unique.*\n    from (\n        select\n            array_agg (\n                original\n                order by {{ order_by }}\n                limit 1\n            )[offset(0)] unique\n        from {{ relation }} original\n        group by {{ partition_by }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.875942, "supported_languages": null}, "macro.dbt_utils.surrogate_key": {"name": "surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.surrogate_key", "macro_sql": "{%- macro surrogate_key(field_list) -%}\n    {% set frustrating_jinja_feature = varargs %}\n    {{ return(adapter.dispatch('surrogate_key', 'dbt_utils')(field_list, *varargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.876915, "supported_languages": null}, "macro.dbt_utils.default__surrogate_key": {"name": "default__surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.default__surrogate_key", "macro_sql": "\n\n{%- macro default__surrogate_key(field_list) -%}\n\n{%- set error_message = '\nWarning: `dbt_utils.surrogate_key` has been replaced by \\\n`dbt_utils.generate_surrogate_key`. The new macro treats null values \\\ndifferently to empty strings. To restore the behaviour of the original \\\nmacro, add a global variable in dbt_project.yml called \\\n`surrogate_key_treat_nulls_as_empty_strings` to your \\\ndbt_project.yml file with a value of True. \\\nThe {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8775392, "supported_languages": null}, "macro.dbt_utils.safe_add": {"name": "safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.safe_add", "macro_sql": "{%- macro safe_add(field_list) -%}\n    {{ return(adapter.dispatch('safe_add', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.878429, "supported_languages": null}, "macro.dbt_utils.default__safe_add": {"name": "default__safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.default__safe_add", "macro_sql": "\n\n{%- macro default__safe_add(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_add` macro now takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.warn(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' +\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.879841, "supported_languages": null}, "macro.dbt_utils.nullcheck": {"name": "nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.nullcheck", "macro_sql": "{% macro nullcheck(cols) %}\n    {{ return(adapter.dispatch('nullcheck', 'dbt_utils')(cols)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.880666, "supported_languages": null}, "macro.dbt_utils.default__nullcheck": {"name": "default__nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.default__nullcheck", "macro_sql": "{% macro default__nullcheck(cols) %}\n{%- for col in cols %}\n\n    {% if col.is_string() -%}\n\n    nullif({{col.name}},'') as {{col.name}}\n\n    {%- else -%}\n\n    {{col.name}}\n\n    {%- endif -%}\n\n{%- if not loop.last -%} , {%- endif -%}\n\n{%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8816, "supported_languages": null}, "macro.dbt_utils.get_tables_by_pattern_sql": {"name": "get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_pattern_sql", "macro_sql": "{% macro get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_pattern_sql', 'dbt_utils')\n        (schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8851042, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_pattern_sql": {"name": "default__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_pattern_sql", "macro_sql": "{% macro default__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n        select distinct\n            table_schema as {{ adapter.quote('table_schema') }},\n            table_name as {{ adapter.quote('table_name') }},\n            {{ dbt_utils.get_table_types_sql() }}\n        from {{ database }}.information_schema.tables\n        where table_schema ilike '{{ schema_pattern }}'\n        and table_name ilike '{{ table_pattern }}'\n        and table_name not ilike '{{ exclude }}'\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.88609, "supported_languages": null}, "macro.dbt_utils.bigquery__get_tables_by_pattern_sql": {"name": "bigquery__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.bigquery__get_tables_by_pattern_sql", "macro_sql": "{% macro bigquery__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {% if '%' in schema_pattern %}\n        {% set schemata=dbt_utils._bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% else %}\n        {% set schemata=[schema_pattern] %}\n    {% endif %}\n\n    {% set sql %}\n        {% for schema in schemata %}\n            select distinct\n                table_schema,\n                table_name,\n                {{ dbt_utils.get_table_types_sql() }}\n\n            from {{ adapter.quote(database) }}.{{ schema }}.INFORMATION_SCHEMA.TABLES\n            where lower(table_name) like lower ('{{ table_pattern }}')\n                and lower(table_name) not like lower ('{{ exclude }}')\n\n            {% if not loop.last %} union all {% endif %}\n\n        {% endfor %}\n    {% endset %}\n\n    {{ return(sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._bigquery__get_matching_schemata", "macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.88815, "supported_languages": null}, "macro.dbt_utils._bigquery__get_matching_schemata": {"name": "_bigquery__get_matching_schemata", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils._bigquery__get_matching_schemata", "macro_sql": "{% macro _bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% if execute %}\n\n        {% set sql %}\n        select schema_name from {{ adapter.quote(database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like lower('{{ schema_pattern }}')\n        {% endset %}\n\n        {% set results=run_query(sql) %}\n\n        {% set schemata=results.columns['schema_name'].values() %}\n\n        {{ return(schemata) }}\n\n    {% else %}\n\n        {{ return([]) }}\n\n    {% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.889484, "supported_languages": null}, "macro.dbt_utils.get_column_values": {"name": "get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.get_column_values", "macro_sql": "{% macro get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {{ return(adapter.dispatch('get_column_values', 'dbt_utils')(table, column, order_by, max_records, default, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_column_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.89183, "supported_languages": null}, "macro.dbt_utils.default__get_column_values": {"name": "default__get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.default__get_column_values", "macro_sql": "{% macro default__get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {% set default = [] if not default %}\n        {{ return(default) }}\n    {% endif %}\n\n    {%- do dbt_utils._is_ephemeral(table, 'get_column_values') -%}\n\n    {# Not all relations are tables. Renaming for internal clarity without breaking functionality for anyone using named arguments #}\n    {# TODO: Change the method signature in a future 0.x.0 release #}\n    {%- set target_relation = table -%}\n\n    {# adapter.load_relation is a convenience wrapper to avoid building a Relation when we already have one #}\n    {% set relation_exists = (load_relation(target_relation)) is not none %}\n\n    {%- call statement('get_column_values', fetch_result=true) %}\n\n        {%- if not relation_exists and default is none -%}\n\n          {{ exceptions.raise_compiler_error(\"In get_column_values(): relation \" ~ target_relation ~ \" does not exist and no default value was provided.\") }}\n\n        {%- elif not relation_exists and default is not none -%}\n\n          {{ log(\"Relation \" ~ target_relation ~ \" does not exist. Returning the default value: \" ~ default) }}\n\n          {{ return(default) }}\n\n        {%- else -%}\n\n\n            select\n                {{ column }} as value\n\n            from {{ target_relation }}\n\n            {% if where is not none %}\n            where {{ where }}\n            {% endif %}\n\n            group by {{ column }}\n            order by {{ order_by }}\n\n            {% if max_records is not none %}\n            limit {{ max_records }}\n            {% endif %}\n\n        {% endif %}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_column_values') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values) }}\n    {%- else -%}\n        {{ return(default) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_ephemeral", "macro.dbt.load_relation", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8959491, "supported_languages": null}, "macro.dbt_utils.pivot": {"name": "pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.pivot", "macro_sql": "{% macro pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n    {{ return(adapter.dispatch('pivot', 'dbt_utils')(column, values, alias, agg, cmp, prefix, suffix, then_value, else_value, quote_identifiers, distinct)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.8983, "supported_languages": null}, "macro.dbt_utils.default__pivot": {"name": "default__pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.default__pivot", "macro_sql": "{% macro default__pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n  {% for value in values %}\n    {{ agg }}(\n      {% if distinct %} distinct {% endif %}\n      case\n      when {{ column }} {{ cmp }} '{{ dbt.escape_single_quotes(value) }}'\n        then {{ then_value }}\n      else {{ else_value }}\n      end\n    )\n    {% if alias %}\n      {% if quote_identifiers %}\n            as {{ adapter.quote(prefix ~ value ~ suffix) }}\n      {% else %}\n        as {{ dbt_utils.slugify(prefix ~ value ~ suffix) }}\n      {% endif %}\n    {% endif %}\n    {% if not loop.last %},{% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.escape_single_quotes", "macro.dbt_utils.slugify"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9005098, "supported_languages": null}, "macro.dbt_utils.get_filtered_columns_in_relation": {"name": "get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.get_filtered_columns_in_relation", "macro_sql": "{% macro get_filtered_columns_in_relation(from, except=[]) -%}\n    {{ return(adapter.dispatch('get_filtered_columns_in_relation', 'dbt_utils')(from, except)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.901669, "supported_languages": null}, "macro.dbt_utils.default__get_filtered_columns_in_relation": {"name": "default__get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.default__get_filtered_columns_in_relation", "macro_sql": "{% macro default__get_filtered_columns_in_relation(from, except=[]) -%}\n    {%- do dbt_utils._is_relation(from, 'get_filtered_columns_in_relation') -%}\n    {%- do dbt_utils._is_ephemeral(from, 'get_filtered_columns_in_relation') -%}\n\n    {# -- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {{ return('') }}\n    {% endif %}\n\n    {%- set include_cols = [] %}\n    {%- set cols = adapter.get_columns_in_relation(from) -%}\n    {%- set except = except | map(\"lower\") | list %}\n    {%- for col in cols -%}\n        {%- if col.column|lower not in except -%}\n            {% do include_cols.append(col.column) %}\n        {%- endif %}\n    {%- endfor %}\n\n    {{ return(include_cols) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9036129, "supported_languages": null}, "macro.dbt_utils.width_bucket": {"name": "width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.width_bucket", "macro_sql": "{% macro width_bucket(expr, min_value, max_value, num_buckets) %}\n  {{ return(adapter.dispatch('width_bucket', 'dbt_utils') (expr, min_value, max_value, num_buckets)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__width_bucket"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.905196, "supported_languages": null}, "macro.dbt_utils.default__width_bucket": {"name": "default__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.default__width_bucket", "macro_sql": "{% macro default__width_bucket(expr, min_value, max_value, num_buckets) -%}\n\n    {% set bin_size -%}\n    (( {{ max_value }} - {{ min_value }} ) / {{ num_buckets }} )\n    {%- endset %}\n    (\n        -- to break ties when the amount is eaxtly at the bucket egde\n        case\n            when\n                mod(\n                    {{ dbt.safe_cast(expr, dbt.type_numeric() ) }},\n                    {{ dbt.safe_cast(bin_size, dbt.type_numeric() ) }}\n                ) = 0\n            then 1\n            else 0\n        end\n    ) +\n      -- Anything over max_value goes the N+1 bucket\n    least(\n        ceil(\n            ({{ expr }} - {{ min_value }})/{{ bin_size }}\n        ),\n        {{ num_buckets }} + 1\n    )\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.safe_cast", "macro.dbt.type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.90642, "supported_languages": null}, "macro.dbt_utils.snowflake__width_bucket": {"name": "snowflake__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.snowflake__width_bucket", "macro_sql": "{% macro snowflake__width_bucket(expr, min_value, max_value, num_buckets) %}\n    width_bucket({{ expr }}, {{ min_value }}, {{ max_value }}, {{ num_buckets }} )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9069529, "supported_languages": null}, "macro.dbt_utils.get_query_results_as_dict": {"name": "get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.get_query_results_as_dict", "macro_sql": "{% macro get_query_results_as_dict(query) %}\n    {{ return(adapter.dispatch('get_query_results_as_dict', 'dbt_utils')(query)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_query_results_as_dict"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.907893, "supported_languages": null}, "macro.dbt_utils.default__get_query_results_as_dict": {"name": "default__get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.default__get_query_results_as_dict", "macro_sql": "{% macro default__get_query_results_as_dict(query) %}\n\n{# This macro returns a dictionary of the form {column_name: (tuple_of_results)} #}\n\n    {%- call statement('get_query_results', fetch_result=True,auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {% set sql_results={} %}\n\n    {%- if execute -%}\n        {% set sql_results_table = load_result('get_query_results').table.columns %}\n        {% for column_name, column in sql_results_table.items() %}\n            {% do sql_results.update({column_name: column.values()}) %}\n        {% endfor %}\n    {%- endif -%}\n\n    {{ return(sql_results) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.909461, "supported_languages": null}, "macro.dbt_utils.generate_surrogate_key": {"name": "generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.generate_surrogate_key", "macro_sql": "{%- macro generate_surrogate_key(field_list) -%}\n    {{ return(adapter.dispatch('generate_surrogate_key', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9105651, "supported_languages": null}, "macro.dbt_utils.default__generate_surrogate_key": {"name": "default__generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.default__generate_surrogate_key", "macro_sql": "\n\n{%- macro default__generate_surrogate_key(field_list) -%}\n\n{%- if var('surrogate_key_treat_nulls_as_empty_strings', False) -%}\n    {%- set default_null_value = \"\" -%}\n{%- else -%}\n    {%- set default_null_value = '_dbt_utils_surrogate_key_null_' -%}\n{%- endif -%}\n\n{%- set fields = [] -%}\n\n{%- for field in field_list -%}\n\n    {%- do fields.append(\n        \"coalesce(cast(\" ~ field ~ \" as \" ~ dbt.type_string() ~ \"), '\" ~ default_null_value  ~\"')\"\n    ) -%}\n\n    {%- if not loop.last %}\n        {%- do fields.append(\"'-'\") -%}\n    {%- endif -%}\n\n{%- endfor -%}\n\n{{ dbt.hash(dbt.concat(fields)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.hash", "macro.dbt.concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.912216, "supported_languages": null}, "macro.dbt_utils.get_table_types_sql": {"name": "get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.get_table_types_sql", "macro_sql": "{%- macro get_table_types_sql() -%}\n  {{ return(adapter.dispatch('get_table_types_sql', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils.default__get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.913323, "supported_languages": null}, "macro.dbt_utils.default__get_table_types_sql": {"name": "default__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.default__get_table_types_sql", "macro_sql": "{% macro default__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'EXTERNAL TABLE' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.913718, "supported_languages": null}, "macro.dbt_utils.postgres__get_table_types_sql": {"name": "postgres__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.postgres__get_table_types_sql", "macro_sql": "{% macro postgres__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'FOREIGN' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.914103, "supported_languages": null}, "macro.dbt_utils.databricks__get_table_types_sql": {"name": "databricks__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.databricks__get_table_types_sql", "macro_sql": "{% macro databricks__get_table_types_sql() %}\n            case table_type\n                when 'MANAGED' then 'table'\n                when 'BASE TABLE' then 'table'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9144828, "supported_languages": null}, "macro.dbt_utils.get_single_value": {"name": "get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.get_single_value", "macro_sql": "{% macro get_single_value(query, default=none) %}\n    {{ return(adapter.dispatch('get_single_value', 'dbt_utils')(query, default)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_single_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.915652, "supported_languages": null}, "macro.dbt_utils.default__get_single_value": {"name": "default__get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.default__get_single_value", "macro_sql": "{% macro default__get_single_value(query, default) %}\n\n{# This macro returns the (0, 0) record in a query, i.e. the first row of the first column #}\n\n    {%- call statement('get_query_result', fetch_result=True, auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {%- if execute -%}\n\n        {% set r = load_result('get_query_result').table.columns[0].values() %}\n        {% if r | length == 0 %}\n            {% do print('Query `' ~ query ~ '` returned no rows. Using the default value: ' ~ default) %}\n            {% set sql_result = default %}\n        {% else %}\n            {% set sql_result = r[0] %}\n        {% endif %}\n        \n    {%- else -%}\n    \n        {% set sql_result = default %}\n    \n    {%- endif -%}\n\n    {% do return(sql_result) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.917844, "supported_languages": null}, "macro.dbt_utils.degrees_to_radians": {"name": "degrees_to_radians", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.degrees_to_radians", "macro_sql": "{% macro degrees_to_radians(degrees) -%}\n    acos(-1) * {{degrees}} / 180\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.920349, "supported_languages": null}, "macro.dbt_utils.haversine_distance": {"name": "haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.haversine_distance", "macro_sql": "{% macro haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n    {{ return(adapter.dispatch('haversine_distance', 'dbt_utils')(lat1,lon1,lat2,lon2,unit)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__haversine_distance"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.92111, "supported_languages": null}, "macro.dbt_utils.default__haversine_distance": {"name": "default__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.default__haversine_distance", "macro_sql": "{% macro default__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n\n    2 * 3961 * asin(sqrt(power((sin(radians(({{ lat2 }} - {{ lat1 }}) / 2))), 2) +\n    cos(radians({{lat1}})) * cos(radians({{lat2}})) *\n    power((sin(radians(({{ lon2 }} - {{ lon1 }}) / 2))), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.922566, "supported_languages": null}, "macro.dbt_utils.bigquery__haversine_distance": {"name": "bigquery__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.bigquery__haversine_distance", "macro_sql": "{% macro bigquery__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{% set radians_lat1 = dbt_utils.degrees_to_radians(lat1) %}\n{% set radians_lat2 = dbt_utils.degrees_to_radians(lat2) %}\n{% set radians_lon1 = dbt_utils.degrees_to_radians(lon1) %}\n{% set radians_lon2 = dbt_utils.degrees_to_radians(lon2) %}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n    2 * 3961 * asin(sqrt(power(sin(({{ radians_lat2 }} - {{ radians_lat1 }}) / 2), 2) +\n    cos({{ radians_lat1 }}) * cos({{ radians_lat2 }}) *\n    power(sin(({{ radians_lon2 }} - {{ radians_lon1 }}) / 2), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.degrees_to_radians"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.924638, "supported_languages": null}, "macro.spark_utils.get_tables": {"name": "get_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_tables", "macro_sql": "{% macro get_tables(table_regex_pattern='.*') %}\n\n  {% set tables = [] %}\n  {% for database in spark__list_schemas('not_used') %}\n    {% for table in spark__list_relations_without_caching(database[0]) %}\n      {% set db_tablename = database[0] ~ \".\" ~ table[1] %}\n      {% set is_match = modules.re.match(table_regex_pattern, db_tablename) %}\n      {% if is_match %}\n        {% call statement('table_detail', fetch_result=True) -%}\n          describe extended {{ db_tablename }}\n        {% endcall %}\n\n        {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('type', 'TYPE', 'Type'))|first %}\n        {% if table_type[1]|lower != 'view' %}\n          {{ tables.append(db_tablename) }}\n        {% endif %}\n      {% endif %}\n    {% endfor %}\n  {% endfor %}\n  {{ return(tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.934407, "supported_languages": null}, "macro.spark_utils.get_delta_tables": {"name": "get_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_delta_tables", "macro_sql": "{% macro get_delta_tables(table_regex_pattern='.*') %}\n\n  {% set delta_tables = [] %}\n  {% for db_tablename in get_tables(table_regex_pattern) %}\n    {% call statement('table_detail', fetch_result=True) -%}\n      describe extended {{ db_tablename }}\n    {% endcall %}\n\n    {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('provider', 'PROVIDER', 'Provider'))|first %}\n    {% if table_type[1]|lower == 'delta' %}\n      {{ delta_tables.append(db_tablename) }}\n    {% endif %}\n  {% endfor %}\n  {{ return(delta_tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.936196, "supported_languages": null}, "macro.spark_utils.get_statistic_columns": {"name": "get_statistic_columns", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_statistic_columns", "macro_sql": "{% macro get_statistic_columns(table) %}\n\n  {% call statement('input_columns', fetch_result=True) %}\n    SHOW COLUMNS IN {{ table }}\n  {% endcall %}\n  {% set input_columns = load_result('input_columns').table %}\n\n  {% set output_columns = [] %}\n  {% for column in input_columns %}\n    {% call statement('column_information', fetch_result=True) %}\n      DESCRIBE TABLE {{ table }} `{{ column[0] }}`\n    {% endcall %}\n    {% if not load_result('column_information').table[1][1].startswith('struct') and not load_result('column_information').table[1][1].startswith('array')  %}\n      {{ output_columns.append('`' ~ column[0] ~ '`') }}\n    {% endif %}\n  {% endfor %}\n  {{ return(output_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9384918, "supported_languages": null}, "macro.spark_utils.spark_optimize_delta_tables": {"name": "spark_optimize_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_optimize_delta_tables", "macro_sql": "{% macro spark_optimize_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Optimizing \" ~ table) }}\n    {% do run_query(\"optimize \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9403908, "supported_languages": null}, "macro.spark_utils.spark_vacuum_delta_tables": {"name": "spark_vacuum_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_vacuum_delta_tables", "macro_sql": "{% macro spark_vacuum_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Vacuuming \" ~ table) }}\n    {% do run_query(\"vacuum \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.942314, "supported_languages": null}, "macro.spark_utils.spark_analyze_tables": {"name": "spark_analyze_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_analyze_tables", "macro_sql": "{% macro spark_analyze_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set columns = get_statistic_columns(table) | join(',') %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Analyzing \" ~ table) }}\n    {% if columns != '' %}\n      {% do run_query(\"analyze table \" ~ table ~ \" compute statistics for columns \" ~ columns) %}\n    {% endif %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.spark_utils.get_statistic_columns", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.9447901, "supported_languages": null}, "macro.spark_utils.spark__concat": {"name": "spark__concat", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/concat.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/concat.sql", "unique_id": "macro.spark_utils.spark__concat", "macro_sql": "{% macro spark__concat(fields) -%}\n    concat({{ fields|join(', ') }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.945305, "supported_languages": null}, "macro.spark_utils.spark__type_numeric": {"name": "spark__type_numeric", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "unique_id": "macro.spark_utils.spark__type_numeric", "macro_sql": "{% macro spark__type_numeric() %}\n    decimal(28, 6)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.945599, "supported_languages": null}, "macro.spark_utils.spark__dateadd": {"name": "spark__dateadd", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "unique_id": "macro.spark_utils.spark__dateadd", "macro_sql": "{% macro spark__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    {%- set clock_component -%}\n        {# make sure the dates + timestamps are real, otherwise raise an error asap #}\n        to_unix_timestamp({{ spark_utils.assert_not_null('to_timestamp', from_date_or_timestamp) }})\n        - to_unix_timestamp({{ spark_utils.assert_not_null('date', from_date_or_timestamp) }})\n    {%- endset -%}\n\n    {%- if datepart in ['day', 'week'] -%}\n        \n        {%- set multiplier = 7 if datepart == 'week' else 1 -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                date_add(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ['month', 'quarter', 'year'] -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'month' -%} 1\n            {%- elif datepart == 'quarter' -%} 3\n            {%- elif datepart == 'year' -%} 12\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                add_months(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            {{ spark_utils.assert_not_null('to_unix_timestamp', from_date_or_timestamp) }}\n            + cast({{interval}} * {{multiplier}} as int)\n        )\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro dateadd not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.95216, "supported_languages": null}, "macro.spark_utils.spark__datediff": {"name": "spark__datediff", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datediff.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datediff.sql", "unique_id": "macro.spark_utils.spark__datediff", "macro_sql": "{% macro spark__datediff(first_date, second_date, datepart) %}\n\n    {%- if datepart in ['day', 'week', 'month', 'quarter', 'year'] -%}\n    \n        {# make sure the dates are real, otherwise raise an error asap #}\n        {% set first_date = spark_utils.assert_not_null('date', first_date) %}\n        {% set second_date = spark_utils.assert_not_null('date', second_date) %}\n    \n    {%- endif -%}\n    \n    {%- if datepart == 'day' -%}\n    \n        datediff({{second_date}}, {{first_date}})\n    \n    {%- elif datepart == 'week' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(datediff({{second_date}}, {{first_date}})/7)\n            else ceil(datediff({{second_date}}, {{first_date}})/7)\n            end\n        \n        -- did we cross a week boundary (Sunday)?\n        + case\n            when {{first_date}} < {{second_date}} and dayofweek({{second_date}}) < dayofweek({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofweek({{second_date}}) > dayofweek({{first_date}}) then -1\n            else 0 end\n\n    {%- elif datepart == 'month' -%}\n\n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}})))\n            else ceil(months_between(date({{second_date}}), date({{first_date}})))\n            end\n        \n        -- did we cross a month boundary?\n        + case\n            when {{first_date}} < {{second_date}} and dayofmonth({{second_date}}) < dayofmonth({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofmonth({{second_date}}) > dayofmonth({{first_date}}) then -1\n            else 0 end\n        \n    {%- elif datepart == 'quarter' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}}))/3)\n            else ceil(months_between(date({{second_date}}), date({{first_date}}))/3)\n            end\n        \n        -- did we cross a quarter boundary?\n        + case\n            when {{first_date}} < {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                < (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then 1\n            when {{first_date}} > {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                > (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then -1\n            else 0 end\n\n    {%- elif datepart == 'year' -%}\n    \n        year({{second_date}}) - year({{first_date}})\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set divisor -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        case when {{first_date}} < {{second_date}}\n            then ceil((\n                {# make sure the timestamps are real, otherwise raise an error asap #}\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            else floor((\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            end\n            \n            {% if datepart == 'millisecond' %}\n                + cast(date_format({{second_date}}, 'SSS') as int)\n                - cast(date_format({{first_date}}, 'SSS') as int)\n            {% endif %}\n            \n            {% if datepart == 'microsecond' %}    \n                {% set capture_str = '[0-9]{4}-[0-9]{2}-[0-9]{2}.[0-9]{2}:[0-9]{2}:[0-9]{2}.([0-9]{6})' %}\n                -- Spark doesn't really support microseconds, so this is a massive hack!\n                -- It will only work if the timestamp-string is of the format\n                -- 'yyyy-MM-dd-HH mm.ss.SSSSSS'\n                + cast(regexp_extract({{second_date}}, '{{capture_str}}', 1) as int)\n                - cast(regexp_extract({{first_date}}, '{{capture_str}}', 1) as int)    \n            {% endif %}\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro datediff not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.967374, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp": {"name": "spark__current_timestamp", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp", "macro_sql": "{% macro spark__current_timestamp() %}\n    current_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.967753, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp_in_utc": {"name": "spark__current_timestamp_in_utc", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp_in_utc", "macro_sql": "{% macro spark__current_timestamp_in_utc() %}\n    unix_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.967963, "supported_languages": null}, "macro.spark_utils.spark__split_part": {"name": "spark__split_part", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/split_part.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/split_part.sql", "unique_id": "macro.spark_utils.spark__split_part", "macro_sql": "{% macro spark__split_part(string_text, delimiter_text, part_number) %}\n\n    {% set delimiter_expr %}\n    \n        -- escape if starts with a special character\n        case when regexp_extract({{ delimiter_text }}, '([^A-Za-z0-9])(.*)', 1) != '_'\n            then concat('\\\\', {{ delimiter_text }})\n            else {{ delimiter_text }} end\n    \n    {% endset %}\n\n    {% set split_part_expr %}\n    \n    split(\n        {{ string_text }},\n        {{ delimiter_expr }}\n        )[({{ part_number - 1 }})]\n    \n    {% endset %}\n    \n    {{ return(split_part_expr) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.969289, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_pattern": {"name": "spark__get_relations_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_pattern", "macro_sql": "{% macro spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n        show table extended in {{ schema_pattern }} like '{{ table_pattern }}'\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n    {%- set tbl_relations = [] -%}\n    {%- for row in table_list['table'] -%}\n        {%- set tbl_relation = api.Relation.create(\n            database=None,\n            schema=row[0],\n            identifier=row[1],\n            type=('view' if 'Type: VIEW' in row[3] else 'table')\n        ) -%}\n        {%- do tbl_relations.append(tbl_relation) -%}\n    {%- endfor -%}\n\n    {{ return(tbl_relations) }}\n    {%- else -%}\n    {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.972834, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_prefix": {"name": "spark__get_relations_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_prefix", "macro_sql": "{% macro spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {% set table_pattern = table_pattern ~ '*' %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.973686, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_pattern": {"name": "spark__get_tables_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_pattern", "macro_sql": "{% macro spark__get_tables_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.974398, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_prefix": {"name": "spark__get_tables_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_prefix", "macro_sql": "{% macro spark__get_tables_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.975112, "supported_languages": null}, "macro.spark_utils.assert_not_null": {"name": "assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.assert_not_null", "macro_sql": "{% macro assert_not_null(function, arg) -%}\n  {{ return(adapter.dispatch('assert_not_null', 'spark_utils')(function, arg)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.spark_utils.default__assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.975911, "supported_languages": null}, "macro.spark_utils.default__assert_not_null": {"name": "default__assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.default__assert_not_null", "macro_sql": "{% macro default__assert_not_null(function, arg) %}\n\n    coalesce({{function}}({{arg}}), nvl2({{function}}({{arg}}), assert_true({{function}}({{arg}}) is not null), null))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.976452, "supported_languages": null}, "macro.spark_utils.spark__convert_timezone": {"name": "spark__convert_timezone", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/snowplow/convert_timezone.sql", "original_file_path": "macros/snowplow/convert_timezone.sql", "unique_id": "macro.spark_utils.spark__convert_timezone", "macro_sql": "{% macro spark__convert_timezone(in_tz, out_tz, in_timestamp) %}\n    from_utc_timestamp(to_utc_timestamp({{in_timestamp}}, {{in_tz}}), {{out_tz}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.977103, "supported_languages": null}, "macro.google_ads_source.get_ad_group_history_columns": {"name": "get_ad_group_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_group_history_columns.sql", "original_file_path": "macros/get_ad_group_history_columns.sql", "unique_id": "macro.google_ads_source.get_ad_group_history_columns", "macro_sql": "{% macro get_ad_group_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"campaign_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int", "macro.dbt.type_string", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.979468, "supported_languages": null}, "macro.google_ads_source.get_ad_group_stats_columns": {"name": "get_ad_group_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_group_stats_columns.sql", "original_file_path": "macros/get_ad_group_stats_columns.sql", "unique_id": "macro.google_ads_source.get_ad_group_stats_columns", "macro_sql": "{% macro get_ad_group_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__ad_group_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.982713, "supported_languages": null}, "macro.google_ads_source.spark__regexp_instr": {"name": "spark__regexp_instr", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/regexp_instr.sql", "original_file_path": "macros/regexp_instr.sql", "unique_id": "macro.google_ads_source.spark__regexp_instr", "macro_sql": "{% macro spark__regexp_instr(source_value, regexp, position=1, occurrence=1, is_raw=False, flags=\"\") %}\nregexp_instr({{ source_value }}, '{{ regexp }}')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.983409, "supported_languages": null}, "macro.google_ads_source.get_campaign_stats_columns": {"name": "get_campaign_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_campaign_stats_columns.sql", "original_file_path": "macros/get_campaign_stats_columns.sql", "unique_id": "macro.google_ads_source.get_campaign_stats_columns", "macro_sql": "{% macro get_campaign_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__campaign_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.986974, "supported_languages": null}, "macro.google_ads_source.get_campaign_history_columns": {"name": "get_campaign_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_campaign_history_columns.sql", "original_file_path": "macros/get_campaign_history_columns.sql", "unique_id": "macro.google_ads_source.get_campaign_history_columns", "macro_sql": "{% macro get_campaign_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"advertising_channel_subtype\", \"datatype\": dbt.type_string()},\n    {\"name\": \"advertising_channel_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"end_date\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"serving_status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"start_date\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"tracking_url_template\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_int", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.990381, "supported_languages": null}, "macro.google_ads_source.get_ad_stats_columns": {"name": "get_ad_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_stats_columns.sql", "original_file_path": "macros/get_ad_stats_columns.sql", "unique_id": "macro.google_ads_source.get_ad_stats_columns", "macro_sql": "{% macro get_ad_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"ad_group\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ad_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()},\n    {\"name\": \"keyword_ad_group_criterion\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__ad_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.994447, "supported_languages": null}, "macro.google_ads_source.get_account_history_columns": {"name": "get_account_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_account_history_columns.sql", "original_file_path": "macros/get_account_history_columns.sql", "unique_id": "macro.google_ads_source.get_account_history_columns", "macro_sql": "{% macro get_account_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"auto_tagging_enabled\", \"datatype\": \"boolean\"},\n    {\"name\": \"currency_code\", \"datatype\": dbt.type_string()},\n    {\"name\": \"descriptive_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"time_zone\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.996785, "supported_languages": null}, "macro.google_ads_source.get_ad_history_columns": {"name": "get_ad_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_history_columns.sql", "original_file_path": "macros/get_ad_history_columns.sql", "unique_id": "macro.google_ads_source.get_ad_history_columns", "macro_sql": "{% macro get_ad_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"display_url\", \"datatype\": dbt.type_string()},\n    {\"name\": \"final_urls\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int", "macro.dbt.type_string", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434417.999305, "supported_languages": null}, "macro.google_ads_source.get_ad_group_criterion_history_columns": {"name": "get_ad_group_criterion_history_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_ad_group_criterion_history_columns.sql", "original_file_path": "macros/get_ad_group_criterion_history_columns.sql", "unique_id": "macro.google_ads_source.get_ad_group_criterion_history_columns", "macro_sql": "{% macro get_ad_group_criterion_history_columns() %}\n\n{% set columns = [\n    {\"name\": \"id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"base_campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"updated_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"keyword_match_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"keyword_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_active\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_int", "macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.002051, "supported_languages": null}, "macro.google_ads_source.get_keyword_stats_columns": {"name": "get_keyword_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_keyword_stats_columns.sql", "original_file_path": "macros/get_keyword_stats_columns.sql", "unique_id": "macro.google_ads_source.get_keyword_stats_columns", "macro_sql": "{% macro get_keyword_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_group_criterion_criterion_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_group_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"campaign_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__keyword_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.005651, "supported_languages": null}, "macro.google_ads_source.get_account_stats_columns": {"name": "get_account_stats_columns", "resource_type": "macro", "package_name": "google_ads_source", "path": "macros/get_account_stats_columns.sql", "original_file_path": "macros/get_account_stats_columns.sql", "unique_id": "macro.google_ads_source.get_account_stats_columns", "macro_sql": "{% macro get_account_stats_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"ad_network_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"clicks\", \"datatype\": dbt.type_int()},\n    {\"name\": \"cost_micros\", \"datatype\": dbt.type_int()},\n    {\"name\": \"customer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"date\", \"datatype\": \"date\"},\n    {\"name\": \"device\", \"datatype\": dbt.type_string()},\n    {\"name\": \"impressions\", \"datatype\": dbt.type_int()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('google_ads__account_stats_passthrough_metrics')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp", "macro.dbt.type_int", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.008498, "supported_languages": null}, "macro.fivetran_utils.enabled_vars": {"name": "enabled_vars", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars.sql", "original_file_path": "macros/enabled_vars.sql", "unique_id": "macro.fivetran_utils.enabled_vars", "macro_sql": "{% macro enabled_vars(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, True) == False %}\n    {{ return(False) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(True) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.009571, "supported_languages": null}, "macro.fivetran_utils.percentile": {"name": "percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.percentile", "macro_sql": "{% macro percentile(percentile_field, partition_field, percent) -%}\n\n{{ adapter.dispatch('percentile', 'fivetran_utils') (percentile_field, partition_field, percent) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__percentile"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.011355, "supported_languages": null}, "macro.fivetran_utils.default__percentile": {"name": "default__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.default__percentile", "macro_sql": "{% macro default__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0118022, "supported_languages": null}, "macro.fivetran_utils.redshift__percentile": {"name": "redshift__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.redshift__percentile", "macro_sql": "{% macro redshift__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.012247, "supported_languages": null}, "macro.fivetran_utils.bigquery__percentile": {"name": "bigquery__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.bigquery__percentile", "macro_sql": "{% macro bigquery__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.012686, "supported_languages": null}, "macro.fivetran_utils.postgres__percentile": {"name": "postgres__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.postgres__percentile", "macro_sql": "{% macro postgres__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n    /* have to group by partition field */\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0130749, "supported_languages": null}, "macro.fivetran_utils.spark__percentile": {"name": "spark__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.spark__percentile", "macro_sql": "{% macro spark__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.01351, "supported_languages": null}, "macro.fivetran_utils.pivot_json_extract": {"name": "pivot_json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/pivot_json_extract.sql", "original_file_path": "macros/pivot_json_extract.sql", "unique_id": "macro.fivetran_utils.pivot_json_extract", "macro_sql": "{% macro pivot_json_extract(string, list_of_properties) %}\n\n{%- for property in list_of_properties -%}\n{%- if property is mapping -%}\nreplace( {{ fivetran_utils.json_extract(string, property.name) }}, '\"', '') as {{ property.alias if property.alias else property.name | replace(' ', '_') | replace('.', '_') | lower }}\n\n{%- else -%}\nreplace( {{ fivetran_utils.json_extract(string, property) }}, '\"', '') as {{ property | replace(' ', '_') | lower }}\n\n{%- endif -%}\n{%- if not loop.last -%},{%- endif %}\n{% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.015614, "supported_languages": null}, "macro.fivetran_utils.persist_pass_through_columns": {"name": "persist_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/persist_pass_through_columns.sql", "original_file_path": "macros/persist_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.persist_pass_through_columns", "macro_sql": "{% macro persist_pass_through_columns(pass_through_variable, identifier=none, transform='') %}\n\n{% if var(pass_through_variable, none) %}\n    {% for field in var(pass_through_variable) %}\n        , {{ transform ~ '(' ~ (identifier ~ '.' if identifier else '') ~ (field.alias if field.alias else field.name) ~ ')' }} as {{ field.alias if field.alias else field.name }}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.017327, "supported_languages": null}, "macro.fivetran_utils.json_parse": {"name": "json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.json_parse", "macro_sql": "{% macro json_parse(string, string_path) -%}\n\n{{ adapter.dispatch('json_parse', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__json_parse"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0197928, "supported_languages": null}, "macro.fivetran_utils.default__json_parse": {"name": "default__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.default__json_parse", "macro_sql": "{% macro default__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.020499, "supported_languages": null}, "macro.fivetran_utils.redshift__json_parse": {"name": "redshift__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.redshift__json_parse", "macro_sql": "{% macro redshift__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.021193, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_parse": {"name": "bigquery__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.bigquery__json_parse", "macro_sql": "{% macro bigquery__json_parse(string, string_path) %}\n\n \n  json_extract_scalar({{string}}, '$.{%- for s in string_path -%}{{ s }}{%- if not loop.last -%}.{%- endif -%}{%- endfor -%} ')\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0218592, "supported_languages": null}, "macro.fivetran_utils.postgres__json_parse": {"name": "postgres__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.postgres__json_parse", "macro_sql": "{% macro postgres__json_parse(string, string_path) %}\n\n  {{string}}::json #>> '{ {%- for s in string_path -%}{{ s }}{%- if not loop.last -%},{%- endif -%}{%- endfor -%} }'\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.022505, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_parse": {"name": "snowflake__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.snowflake__json_parse", "macro_sql": "{% macro snowflake__json_parse(string, string_path) %}\n\n  parse_json( {{string}} ) {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.023372, "supported_languages": null}, "macro.fivetran_utils.spark__json_parse": {"name": "spark__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.spark__json_parse", "macro_sql": "{% macro spark__json_parse(string, string_path) %}\n\n  {{string}} : {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.024072, "supported_languages": null}, "macro.fivetran_utils.max_bool": {"name": "max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.max_bool", "macro_sql": "{% macro max_bool(boolean_field) -%}\n\n{{ adapter.dispatch('max_bool', 'fivetran_utils') (boolean_field) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__max_bool"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0248861, "supported_languages": null}, "macro.fivetran_utils.default__max_bool": {"name": "default__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.default__max_bool", "macro_sql": "{% macro default__max_bool(boolean_field)  %}\n\n    bool_or( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0251892, "supported_languages": null}, "macro.fivetran_utils.snowflake__max_bool": {"name": "snowflake__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.snowflake__max_bool", "macro_sql": "{% macro snowflake__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.025475, "supported_languages": null}, "macro.fivetran_utils.bigquery__max_bool": {"name": "bigquery__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.bigquery__max_bool", "macro_sql": "{% macro bigquery__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0257752, "supported_languages": null}, "macro.fivetran_utils.calculated_fields": {"name": "calculated_fields", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/calculated_fields.sql", "original_file_path": "macros/calculated_fields.sql", "unique_id": "macro.fivetran_utils.calculated_fields", "macro_sql": "{% macro calculated_fields(variable) -%}\n\n{% if var(variable, none) %}\n    {% for field in var(variable) %}\n        , {{ field.transform_sql }} as {{ field.name }} \n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.026748, "supported_languages": null}, "macro.fivetran_utils.drop_schemas_automation": {"name": "drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.drop_schemas_automation", "macro_sql": "{% macro drop_schemas_automation(drop_target_schema=true) %}\n    {{ return(adapter.dispatch('drop_schemas_automation', 'fivetran_utils')(drop_target_schema)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__drop_schemas_automation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.028172, "supported_languages": null}, "macro.fivetran_utils.default__drop_schemas_automation": {"name": "default__drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.default__drop_schemas_automation", "macro_sql": "{% macro default__drop_schemas_automation(drop_target_schema=true) %}\n\n{% set fetch_list_sql %}\n    {% if target.type not in ('databricks', 'spark') %}\n        select schema_name\n        from \n        {{ wrap_in_quotes(target.database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like '{{ target.schema | lower }}{%- if not drop_target_schema -%}_{%- endif -%}%'\n    {% else %}\n        SHOW SCHEMAS LIKE '{{ target.schema }}{%- if not drop_target_schema -%}_{%- endif -%}*'\n    {% endif %}\n{% endset %}\n\n{% set results = run_query(fetch_list_sql) %}\n\n{% if execute %}\n    {% set results_list = results.columns[0].values() %}\n{% else %}\n    {% set results_list = [] %}\n{% endif %}\n\n{% for schema_to_drop in results_list %}\n    {% do adapter.drop_schema(api.Relation.create(database=target.database, schema=schema_to_drop)) %}\n    {{ print('Schema ' ~ schema_to_drop ~ ' successfully dropped from the ' ~ target.database ~ ' database.\\n')}}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.wrap_in_quotes", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.030742, "supported_languages": null}, "macro.fivetran_utils.seed_data_helper": {"name": "seed_data_helper", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/seed_data_helper.sql", "original_file_path": "macros/seed_data_helper.sql", "unique_id": "macro.fivetran_utils.seed_data_helper", "macro_sql": "{% macro seed_data_helper(seed_name, warehouses) %}\n\n{% if target.type in warehouses %}\n    {% for w in warehouses %}\n        {% if target.type == w %}\n            {{ return(ref(seed_name ~ \"_\" ~ w ~ \"\")) }}\n        {% endif %}\n    {% endfor %}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.032176, "supported_languages": null}, "macro.fivetran_utils.fill_pass_through_columns": {"name": "fill_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_pass_through_columns.sql", "original_file_path": "macros/fill_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.fill_pass_through_columns", "macro_sql": "{% macro fill_pass_through_columns(pass_through_variable) %}\n\n{% if var(pass_through_variable) %}\n    {% for field in var(pass_through_variable) %}\n        {% if field is mapping %}\n            {% if field.transform_sql %}\n                , {{ field.transform_sql }} as {{ field.alias if field.alias else field.name }}\n            {% else %}\n                , {{ field.alias if field.alias else field.name }}\n            {% endif %}\n        {% else %}\n        , {{ field }}\n        {% endif %}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.034028, "supported_languages": null}, "macro.fivetran_utils.string_agg": {"name": "string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.string_agg", "macro_sql": "{% macro string_agg(field_to_agg, delimiter) -%}\n\n{{ adapter.dispatch('string_agg', 'fivetran_utils') (field_to_agg, delimiter) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__string_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.035054, "supported_languages": null}, "macro.fivetran_utils.default__string_agg": {"name": "default__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.default__string_agg", "macro_sql": "{% macro default__string_agg(field_to_agg, delimiter) %}\n    string_agg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.035412, "supported_languages": null}, "macro.fivetran_utils.snowflake__string_agg": {"name": "snowflake__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.snowflake__string_agg", "macro_sql": "{% macro snowflake__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0357661, "supported_languages": null}, "macro.fivetran_utils.redshift__string_agg": {"name": "redshift__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.redshift__string_agg", "macro_sql": "{% macro redshift__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.036122, "supported_languages": null}, "macro.fivetran_utils.spark__string_agg": {"name": "spark__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.spark__string_agg", "macro_sql": "{% macro spark__string_agg(field_to_agg, delimiter) %}\n    -- collect set will remove duplicates\n    replace(replace(replace(cast( collect_set({{ field_to_agg }}) as string), '[', ''), ']', ''), ', ', {{ delimiter }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.036492, "supported_languages": null}, "macro.fivetran_utils.timestamp_diff": {"name": "timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.timestamp_diff", "macro_sql": "{% macro timestamp_diff(first_date, second_date, datepart) %}\n  {{ adapter.dispatch('timestamp_diff', 'fivetran_utils')(first_date, second_date, datepart) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__timestamp_diff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0418391, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_diff": {"name": "default__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.default__timestamp_diff", "macro_sql": "{% macro default__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.042294, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_diff": {"name": "redshift__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_diff", "macro_sql": "{% macro redshift__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0427258, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_diff": {"name": "bigquery__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_diff", "macro_sql": "{% macro bigquery__timestamp_diff(first_date, second_date, datepart) %}\n\n    timestamp_diff(\n        {{second_date}},\n        {{first_date}},\n        {{datepart}}\n    )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.043147, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_diff": {"name": "postgres__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_diff", "macro_sql": "{% macro postgres__timestamp_diff(first_date, second_date, datepart) %}\n\n    {% if datepart == 'year' %}\n        (date_part('year', ({{second_date}})::date) - date_part('year', ({{first_date}})::date))\n    {% elif datepart == 'quarter' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 4 + date_part('quarter', ({{second_date}})::date) - date_part('quarter', ({{first_date}})::date))\n    {% elif datepart == 'month' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 12 + date_part('month', ({{second_date}})::date) - date_part('month', ({{first_date}})::date))\n    {% elif datepart == 'day' %}\n        (({{second_date}})::date - ({{first_date}})::date)\n    {% elif datepart == 'week' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} / 7 + case\n            when date_part('dow', ({{first_date}})::timestamp) <= date_part('dow', ({{second_date}})::timestamp) then\n                case when {{first_date}} <= {{second_date}} then 0 else -1 end\n            else\n                case when {{first_date}} <= {{second_date}} then 1 else 0 end\n        end)\n    {% elif datepart == 'hour' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} * 24 + date_part('hour', ({{second_date}})::timestamp) - date_part('hour', ({{first_date}})::timestamp))\n    {% elif datepart == 'minute' %}\n        ({{ dbt.datediff(first_date, second_date, 'hour') }} * 60 + date_part('minute', ({{second_date}})::timestamp) - date_part('minute', ({{first_date}})::timestamp))\n    {% elif datepart == 'second' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60 + floor(date_part('second', ({{second_date}})::timestamp)) - floor(date_part('second', ({{first_date}})::timestamp)))\n    {% elif datepart == 'millisecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000 + floor(date_part('millisecond', ({{second_date}})::timestamp)) - floor(date_part('millisecond', ({{first_date}})::timestamp)))\n    {% elif datepart == 'microsecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000000 + floor(date_part('microsecond', ({{second_date}})::timestamp)) - floor(date_part('microsecond', ({{first_date}})::timestamp)))\n    {% else %}\n        {{ exceptions.raise_compiler_error(\"Unsupported datepart for macro datediff in postgres: {!r}\".format(datepart)) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.047929, "supported_languages": null}, "macro.fivetran_utils.try_cast": {"name": "try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.try_cast", "macro_sql": "{% macro try_cast(field, type) %}\n    {{ adapter.dispatch('try_cast', 'fivetran_utils') (field, type) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__try_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.049941, "supported_languages": null}, "macro.fivetran_utils.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.050335, "supported_languages": null}, "macro.fivetran_utils.redshift__try_cast": {"name": "redshift__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.redshift__try_cast", "macro_sql": "{% macro redshift__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when trim({{field}}) ~ '^(0|[1-9][0-9]*)$' then trim({{field}})\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.051082, "supported_languages": null}, "macro.fivetran_utils.postgres__try_cast": {"name": "postgres__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.postgres__try_cast", "macro_sql": "{% macro postgres__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar)) ~ '^(0|[1-9][0-9]*)$' \n        then replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar))\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.051841, "supported_languages": null}, "macro.fivetran_utils.snowflake__try_cast": {"name": "snowflake__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.snowflake__try_cast", "macro_sql": "{% macro snowflake__try_cast(field, type) %}\n    try_cast(cast({{field}} as varchar) as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.052203, "supported_languages": null}, "macro.fivetran_utils.bigquery__try_cast": {"name": "bigquery__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.bigquery__try_cast", "macro_sql": "{% macro bigquery__try_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0526211, "supported_languages": null}, "macro.fivetran_utils.spark__try_cast": {"name": "spark__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.spark__try_cast", "macro_sql": "{% macro spark__try_cast(field, type) %}\n    try_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0530171, "supported_languages": null}, "macro.fivetran_utils.source_relation": {"name": "source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.source_relation", "macro_sql": "{% macro source_relation(union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('source_relation', 'fivetran_utils') (union_schema_variable, union_database_variable) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__source_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.054135, "supported_languages": null}, "macro.fivetran_utils.default__source_relation": {"name": "default__source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.default__source_relation", "macro_sql": "{% macro default__source_relation(union_schema_variable, union_database_variable) %}\n\n{% if var(union_schema_variable, none)  %}\n, case\n    {% for schema in var(union_schema_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%.{{ schema|lower }}.%' then '{{ schema|lower }}'\n    {% endfor %}\n  end as source_relation\n{% elif var(union_database_variable, none) %}\n, case\n    {% for database in var(union_database_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%{{ database|lower }}.%' then '{{ database|lower }}'\n    {% endfor %}\n  end as source_relation\n{% else %}\n, cast('' as {{ dbt.type_string() }}) as source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0556512, "supported_languages": null}, "macro.fivetran_utils.first_value": {"name": "first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.first_value", "macro_sql": "{% macro first_value(first_value_field, partition_field, order_by_field, order=\"asc\") -%}\n\n{{ adapter.dispatch('first_value', 'fivetran_utils') (first_value_field, partition_field, order_by_field, order) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__first_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.056778, "supported_languages": null}, "macro.fivetran_utils.default__first_value": {"name": "default__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.default__first_value", "macro_sql": "{% macro default__first_value(first_value_field, partition_field, order_by_field, order=\"asc\")  %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0573282, "supported_languages": null}, "macro.fivetran_utils.redshift__first_value": {"name": "redshift__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.redshift__first_value", "macro_sql": "{% macro redshift__first_value(first_value_field, partition_field, order_by_field, order=\"asc\") %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} , {{ partition_field }} rows unbounded preceding )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.057921, "supported_languages": null}, "macro.fivetran_utils.add_dbt_source_relation": {"name": "add_dbt_source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_dbt_source_relation.sql", "original_file_path": "macros/add_dbt_source_relation.sql", "unique_id": "macro.fivetran_utils.add_dbt_source_relation", "macro_sql": "{% macro add_dbt_source_relation() %}\n\n{% if var('union_schemas', none) or var('union_databases', none) %}\n, _dbt_source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.058593, "supported_languages": null}, "macro.fivetran_utils.add_pass_through_columns": {"name": "add_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_pass_through_columns.sql", "original_file_path": "macros/add_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.add_pass_through_columns", "macro_sql": "{% macro add_pass_through_columns(base_columns, pass_through_var) %}\n\n  {% if pass_through_var %}\n\n    {% for column in pass_through_var %}\n\n    {% if column is mapping %}\n\n      {% if column.alias %}\n\n        {% do base_columns.append({ \"name\": column.name, \"alias\": column.alias, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n\n      {% else %}\n\n        {% do base_columns.append({ \"name\": column.name, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n        \n      {% endif %}\n\n    {% else %}\n\n      {% do base_columns.append({ \"name\": column, \"datatype\": dbt.type_string()}) %}\n\n    {% endif %}\n\n    {% endfor %}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.061426, "supported_languages": null}, "macro.fivetran_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, aliases=none, column_override=none, include=[], exclude=[], source_column_name=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n    {%- set source_column_name = source_column_name if source_column_name is not none else '_dbt_source_relation' -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column in exclude -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column not in include -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ aliases[loop.index0] if aliases else relation }}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.070556, "supported_languages": null}, "macro.fivetran_utils.union_tables": {"name": "union_tables", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_tables", "macro_sql": "{%- macro union_tables(tables, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_table') -%}\n\n    {%- do exceptions.warn(\"Warning: the `union_tables` macro is no longer supported and will be deprecated in a future release of dbt-utils. Use the `union_relations` macro instead\") -%}\n\n    {{ return(dbt_utils.union_relations(tables, column_override, include, exclude, source_column_name)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.07157, "supported_languages": null}, "macro.fivetran_utils.snowflake_seed_data": {"name": "snowflake_seed_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/snowflake_seed_data.sql", "original_file_path": "macros/snowflake_seed_data.sql", "unique_id": "macro.fivetran_utils.snowflake_seed_data", "macro_sql": "{% macro snowflake_seed_data(seed_name) %}\n\n{% if target.type == 'snowflake' %}\n{{ return(ref(seed_name ~ '_snowflake')) }}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.072603, "supported_languages": null}, "macro.fivetran_utils.fill_staging_columns": {"name": "fill_staging_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.fill_staging_columns", "macro_sql": "{% macro fill_staging_columns(source_columns, staging_columns) -%}\n\n{%- set source_column_names = source_columns|map(attribute='name')|map('lower')|list -%}\n\n{%- for column in staging_columns %}\n    {% if column.name|lower in source_column_names -%}\n        {{ fivetran_utils.quote_column(column) }} as \n        {%- if 'alias' in column %} {{ column.alias }} {% else %} {{ fivetran_utils.quote_column(column) }} {%- endif -%}\n    {%- else -%}\n        cast(null as {{ column.datatype }})\n        {%- if 'alias' in column %} as {{ column.alias }} {% else %} as {{ fivetran_utils.quote_column(column) }} {% endif -%}\n    {%- endif -%}\n    {%- if not loop.last -%} , {% endif -%}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.quote_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.076352, "supported_languages": null}, "macro.fivetran_utils.quote_column": {"name": "quote_column", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.quote_column", "macro_sql": "{% macro quote_column(column) %}\n    {% if 'quote' in column %}\n        {% if column.quote %}\n            {% if target.type in ('bigquery', 'spark', 'databricks') %}\n            `{{ column.name }}`\n            {% elif target.type == 'snowflake' %}\n            \"{{ column.name | upper }}\"\n            {% else %}\n            \"{{ column.name }}\"\n            {% endif %}\n        {% else %}\n        {{ column.name }}\n        {% endif %}\n    {% else %}\n    {{ column.name }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.077897, "supported_languages": null}, "macro.fivetran_utils.json_extract": {"name": "json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.json_extract", "macro_sql": "{% macro json_extract(string, string_path) -%}\n\n{{ adapter.dispatch('json_extract', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.079154, "supported_languages": null}, "macro.fivetran_utils.default__json_extract": {"name": "default__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.default__json_extract", "macro_sql": "{% macro default__json_extract(string, string_path) %}\n\n  json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} )\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.079581, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_extract": {"name": "snowflake__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.snowflake__json_extract", "macro_sql": "{% macro snowflake__json_extract(string, string_path) %}\n\n  json_extract_path_text(try_parse_json( {{string}} ), {{ \"'\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.080004, "supported_languages": null}, "macro.fivetran_utils.redshift__json_extract": {"name": "redshift__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.redshift__json_extract", "macro_sql": "{% macro redshift__json_extract(string, string_path) %}\n\n  case when is_valid_json( {{string}} ) then json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} ) else null end\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.080471, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_extract": {"name": "bigquery__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.bigquery__json_extract", "macro_sql": "{% macro bigquery__json_extract(string, string_path) %}\n\n  json_extract_scalar({{string}}, {{ \"'$.\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.080893, "supported_languages": null}, "macro.fivetran_utils.postgres__json_extract": {"name": "postgres__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.postgres__json_extract", "macro_sql": "{% macro postgres__json_extract(string, string_path) %}\n\n  {{string}}::json->>{{\"'\" ~ string_path ~ \"'\" }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.081315, "supported_languages": null}, "macro.fivetran_utils.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.083144, "supported_languages": null}, "macro.fivetran_utils.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n\n  {%- set enabled_array = [] -%}\n  {% for node in graph.sources.values() %}\n    {% if node.identifier == source.identifier %}\n      {% if (node.meta['is_enabled'] | default(true)) %}\n        {%- do enabled_array.append(1) -%}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n  {% set is_enabled = (enabled_array != []) %}\n\n    select\n      {% if is_enabled %}\n      max({{ loaded_at_field }})\n      {% else %} \n      {{ current_timestamp() }} {% endif %} as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n\n    {% if is_enabled %}\n    from {{ source }}\n      {% if filter %}\n      where {{ filter }}\n      {% endif %}\n    {% endif %}\n\n  {% endcall %}\n  {{ return(load_result('collect_freshness').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.085985, "supported_languages": null}, "macro.fivetran_utils.timestamp_add": {"name": "timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.timestamp_add", "macro_sql": "{% macro timestamp_add(datepart, interval, from_timestamp) -%}\n\n{{ adapter.dispatch('timestamp_add', 'fivetran_utils') (datepart, interval, from_timestamp) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__timestamp_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.087529, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_add": {"name": "default__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.default__timestamp_add", "macro_sql": "{% macro default__timestamp_add(datepart, interval, from_timestamp) %}\n\n    timestampadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.087979, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_add": {"name": "bigquery__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_add", "macro_sql": "{% macro bigquery__timestamp_add(datepart, interval, from_timestamp) %}\n\n        timestamp_add({{ from_timestamp }}, interval  {{ interval }} {{ datepart }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.088414, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_add": {"name": "redshift__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_add", "macro_sql": "{% macro redshift__timestamp_add(datepart, interval, from_timestamp) %}\n\n        dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.088852, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_add": {"name": "postgres__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_add", "macro_sql": "{% macro postgres__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ from_timestamp }} + ((interval '1 {{ datepart }}') * ({{ interval }}))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0892851, "supported_languages": null}, "macro.fivetran_utils.spark__timestamp_add": {"name": "spark__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.spark__timestamp_add", "macro_sql": "{% macro spark__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ dbt.dateadd(datepart, interval, from_timestamp) }}\n        \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.0897532, "supported_languages": null}, "macro.fivetran_utils.ceiling": {"name": "ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.ceiling", "macro_sql": "{% macro ceiling(num) -%}\n\n{{ adapter.dispatch('ceiling', 'fivetran_utils') (num) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__ceiling"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.09038, "supported_languages": null}, "macro.fivetran_utils.default__ceiling": {"name": "default__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.default__ceiling", "macro_sql": "{% macro default__ceiling(num) %}\n    ceiling({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.090677, "supported_languages": null}, "macro.fivetran_utils.snowflake__ceiling": {"name": "snowflake__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.snowflake__ceiling", "macro_sql": "{% macro snowflake__ceiling(num) %}\n    ceil({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.090962, "supported_languages": null}, "macro.fivetran_utils.remove_prefix_from_columns": {"name": "remove_prefix_from_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/remove_prefix_from_columns.sql", "original_file_path": "macros/remove_prefix_from_columns.sql", "unique_id": "macro.fivetran_utils.remove_prefix_from_columns", "macro_sql": "{% macro remove_prefix_from_columns(columns, prefix='', exclude=[]) %}\n\n        {%- for col in columns if col.name not in exclude -%}\n        {%- if col.name[:prefix|length]|lower == prefix -%}\n        {{ col.name }} as {{ col.name[prefix|length:] }}\n        {%- else -%}\n        {{ col.name }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n        {% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.092756, "supported_languages": null}, "macro.fivetran_utils.union_data": {"name": "union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.union_data", "macro_sql": "{%- macro union_data(table_identifier, database_variable, schema_variable, default_database, default_schema, default_variable, union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('union_data', 'fivetran_utils') (\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__union_data"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.099191, "supported_languages": null}, "macro.fivetran_utils.default__union_data": {"name": "default__union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.default__union_data", "macro_sql": "{%- macro default__union_data(\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) -%}\n\n{%- if var(union_schema_variable, none) -%}\n\n    {%- set relations = [] -%}\n    \n    {%- if var(union_schema_variable) is string -%}\n    {%- set trimmed = var(union_schema_variable)|trim('[')|trim(']') -%}\n    {%- set schemas = trimmed.split(',')|map('trim',\" \")|map('trim','\"')|map('trim',\"'\") -%}\n    {%- else -%}\n    {%- set schemas = var(union_schema_variable) -%}\n    {%- endif -%}\n\n    {%- for schema in var(union_schema_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else var(database_variable, default_database),\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else schema,\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n    \n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n    \n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- elif var(union_database_variable, none) -%}\n\n    {%- set relations = [] -%}\n\n    {%- for database in var(union_database_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else database,\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else var(schema_variable, default_schema),\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n\n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n\n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- else -%}\n    {% set exception_schemas = {\"linkedin_company_pages\": \"linkedin_pages\", \"instagram_business_pages\": \"instagram_business\"} %}\n    {% set relation = namespace(value=\"\") %}\n    {% if default_schema in exception_schemas.keys() %}\n        {% for corrected_schema_name in exception_schemas.items() %}   \n            {% if default_schema in corrected_schema_name %}\n                {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n                {% set identifier_var = corrected_schema_name[1] + \"_\" + table_identifier + \"_identifier\"  %}\n                {%- set relation.value=adapter.get_relation(\n                    database=source(corrected_schema_name[1], table_identifier).database,\n                    schema=source(corrected_schema_name[1], table_identifier).schema,\n                    identifier=var(identifier_var, table_identifier)\n                ) -%}\n            {% endif %}\n        {% endfor %}\n    {% else %}\n        {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n        {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifier\"  %}\n        {# Unfortunately the Twitter Organic identifiers were misspelled. As such, we will need to account for this in the model. This will be adjusted in the Twitter Organic package, but to ensure backwards compatibility, this needs to be included. #}\n        {% if var(identifier_var, none) is none %} \n            {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifer\"  %}\n        {% endif %}\n        {%- set relation.value=adapter.get_relation(\n            database=source(default_schema, table_identifier).database,\n            schema=source(default_schema, table_identifier).schema,\n            identifier=var(identifier_var, table_identifier)\n        ) -%}\n    {% endif %}\n{%- set table_exists=relation.value is not none -%}\n\n{%- if table_exists -%}\n    select * \n    from {{ relation.value }}\n{%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n{%- endif -%}\n{%- endif -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.111221, "supported_languages": null}, "macro.fivetran_utils.dummy_coalesce_value": {"name": "dummy_coalesce_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/dummy_coalesce_value.sql", "original_file_path": "macros/dummy_coalesce_value.sql", "unique_id": "macro.fivetran_utils.dummy_coalesce_value", "macro_sql": "{% macro dummy_coalesce_value(column) %}\n\n{% set coalesce_value = {\n 'STRING': \"'DUMMY_STRING'\",\n 'BOOLEAN': 'null',\n 'INT': 999999999,\n 'FLOAT': 999999999.99,\n 'TIMESTAMP': 'cast(\"2099-12-31\" as timestamp)',\n 'DATE': 'cast(\"2099-12-31\" as date)',\n} %}\n\n{% if column.is_float() %}\n{{ return(coalesce_value['FLOAT']) }}\n\n{% elif column.is_numeric() %}\n{{ return(coalesce_value['INT']) }}\n\n{% elif column.is_string() %}\n{{ return(coalesce_value['STRING']) }}\n\n{% elif column.data_type|lower == 'boolean' %}\n{{ return(coalesce_value['BOOLEAN']) }}\n\n{% elif 'timestamp' in column.data_type|lower %}\n{{ return(coalesce_value['TIMESTAMP']) }}\n\n{% elif 'date' in column.data_type|lower %}\n{{ return(coalesce_value['DATE']) }}\n\n{% elif 'int' in column.data_type|lower %}\n{{ return(coalesce_value['INT']) }}\n\n{% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.1149251, "supported_languages": null}, "macro.fivetran_utils.wrap_in_quotes": {"name": "wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.wrap_in_quotes", "macro_sql": "{%- macro wrap_in_quotes(object_to_quote) -%}\n\n{{ return(adapter.dispatch('wrap_in_quotes', 'fivetran_utils')(object_to_quote)) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__wrap_in_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.1158242, "supported_languages": null}, "macro.fivetran_utils.default__wrap_in_quotes": {"name": "default__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.default__wrap_in_quotes", "macro_sql": "{%- macro default__wrap_in_quotes(object_to_quote)  -%}\n{# bigquery, spark, databricks #}\n    `{{ object_to_quote }}`\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.116142, "supported_languages": null}, "macro.fivetran_utils.snowflake__wrap_in_quotes": {"name": "snowflake__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.snowflake__wrap_in_quotes", "macro_sql": "{%- macro snowflake__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote | upper }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.116459, "supported_languages": null}, "macro.fivetran_utils.redshift__wrap_in_quotes": {"name": "redshift__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.redshift__wrap_in_quotes", "macro_sql": "{%- macro redshift__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.116745, "supported_languages": null}, "macro.fivetran_utils.postgres__wrap_in_quotes": {"name": "postgres__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.postgres__wrap_in_quotes", "macro_sql": "{%- macro postgres__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.117055, "supported_languages": null}, "macro.fivetran_utils.array_agg": {"name": "array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.array_agg", "macro_sql": "{% macro array_agg(field_to_agg) -%}\n\n{{ adapter.dispatch('array_agg', 'fivetran_utils') (field_to_agg) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__array_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.11785, "supported_languages": null}, "macro.fivetran_utils.default__array_agg": {"name": "default__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.default__array_agg", "macro_sql": "{% macro default__array_agg(field_to_agg) %}\n    array_agg({{ field_to_agg }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.118195, "supported_languages": null}, "macro.fivetran_utils.redshift__array_agg": {"name": "redshift__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.redshift__array_agg", "macro_sql": "{% macro redshift__array_agg(field_to_agg) %}\n    listagg({{ field_to_agg }}, ',')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.118504, "supported_languages": null}, "macro.fivetran_utils.empty_variable_warning": {"name": "empty_variable_warning", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/empty_variable_warning.sql", "original_file_path": "macros/empty_variable_warning.sql", "unique_id": "macro.fivetran_utils.empty_variable_warning", "macro_sql": "{% macro empty_variable_warning(variable, downstream_model) %}\n\n{% if not var(variable) %}\n{{ log(\n    \"\"\"\n    Warning: You have passed an empty list to the \"\"\" ~ variable ~ \"\"\".\n    As a result, you won't see the history of any columns in the \"\"\" ~ downstream_model ~ \"\"\" model.\n    \"\"\",\n    info=True\n) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.1197262, "supported_languages": null}, "macro.fivetran_utils.enabled_vars_one_true": {"name": "enabled_vars_one_true", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars_one_true.sql", "original_file_path": "macros/enabled_vars_one_true.sql", "unique_id": "macro.fivetran_utils.enabled_vars_one_true", "macro_sql": "{% macro enabled_vars_one_true(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, False) == True %}\n    {{ return(True) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(False) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1696434418.1207628, "supported_languages": null}}, "docs": {"doc.dbt.__overview__": {"name": "__overview__", "resource_type": "doc", "package_name": "dbt", "path": "overview.md", "original_file_path": "docs/overview.md", "unique_id": "doc.dbt.__overview__", "block_contents": "### Welcome!\n\nWelcome to the auto-generated documentation for your dbt project!\n\n### Navigation\n\nYou can use the `Project` and `Database` navigation tabs on the left side of the window to explore the models\nin your project.\n\n#### Project Tab\nThe `Project` tab mirrors the directory structure of your dbt project. In this tab, you can see all of the\nmodels defined in your dbt project, as well as models imported from dbt packages.\n\n#### Database Tab\nThe `Database` tab also exposes your models, but in a format that looks more like a database explorer. This view\nshows relations (tables and views) grouped into database schemas. Note that ephemeral models are _not_ shown\nin this interface, as they do not exist in the database.\n\n### Graph Exploration\nYou can click the blue icon on the bottom-right corner of the page to view the lineage graph of your models.\n\nOn model pages, you'll see the immediate parents and children of the model you're exploring. By clicking the `Expand`\nbutton at the top-right of this lineage pane, you'll be able to see all of the models that are used to build,\nor are built from, the model you're exploring.\n\nOnce expanded, you'll be able to use the `--select` and `--exclude` model selection syntax to filter the\nmodels in the graph. For more information on model selection, check out the [dbt docs](https://docs.getdbt.com/docs/model-selection-syntax).\n\nNote that you can also right-click on models to interactively filter and explore the graph.\n\n---\n\n### More information\n\n- [What is dbt](https://docs.getdbt.com/docs/introduction)?\n- Read the [dbt viewpoint](https://docs.getdbt.com/docs/viewpoint)\n- [Installation](https://docs.getdbt.com/docs/installation)\n- Join the [dbt Community](https://www.getdbt.com/community/) for questions and discussion"}, "doc.google_ads_source._fivetran_id": {"name": "_fivetran_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source._fivetran_id", "block_contents": "Unique ID used by Fivetran to sync and dedupe data."}, "doc.google_ads_source._fivetran_synced": {"name": "_fivetran_synced", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source._fivetran_synced", "block_contents": "Timestamp of when a record was last synced."}, "doc.google_ads_source.account_descriptive_name": {"name": "account_descriptive_name", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.account_descriptive_name", "block_contents": "The descriptive name of the Customer account."}, "doc.google_ads_source.ad_group_id": {"name": "ad_group_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_id", "block_contents": "The ID of the AdGroup."}, "doc.google_ads_source.ad_group_name": {"name": "ad_group_name", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_name", "block_contents": "The name of the AdGroup."}, "doc.google_ads_source.ad_group_status": {"name": "ad_group_status", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_status", "block_contents": "Status of the ad group."}, "doc.google_ads_source.campaign_id": {"name": "campaign_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.campaign_id", "block_contents": "The ID of the Campaign."}, "doc.google_ads_source.ad_id": {"name": "ad_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_id", "block_contents": "The ID of the Ad."}, "doc.google_ads_source.account_id": {"name": "account_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.account_id", "block_contents": "The ID of the Account."}, "doc.google_ads_source.ad_status": {"name": "ad_status", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_status", "block_contents": "Status of the Ad."}, "doc.google_ads_source.campaign_name": {"name": "campaign_name", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.campaign_name", "block_contents": "The name of the Campaign."}, "doc.google_ads_source.campaign_status": {"name": "campaign_status", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.campaign_status", "block_contents": "Status of the Campaign."}, "doc.google_ads_source.clicks": {"name": "clicks", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.clicks", "block_contents": "The number of clicks."}, "doc.google_ads_source.cost": {"name": "cost", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.cost", "block_contents": "The sum of your cost-per-click (CPC) and cost-per-thousand impressions (CPM) costs during this period."}, "doc.google_ads_source.date": {"name": "date", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.date", "block_contents": "The date being reported on."}, "doc.google_ads_source.effective_final_url": {"name": "effective_final_url", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.effective_final_url", "block_contents": "Effective final URL of the impressions."}, "doc.google_ads_source.external_customer_id": {"name": "external_customer_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.external_customer_id", "block_contents": "The Customer ID."}, "doc.google_ads_source.impressions": {"name": "impressions", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.impressions", "block_contents": "Count of how often your ad has appeared on a search results page or website on the Google Network."}, "doc.google_ads_source.criteria_id": {"name": "criteria_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria_id", "block_contents": "The Criterion ID."}, "doc.google_ads_source.gcl_id": {"name": "gcl_id", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.gcl_id", "block_contents": "The Google Click ID."}, "doc.google_ads_source.criteria": {"name": "criteria", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria", "block_contents": "Descriptive string for the Criterion."}, "doc.google_ads_source.criteria_destination_url": {"name": "criteria_destination_url", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria_destination_url", "block_contents": "Destination URL of the criterion that triggered ads."}, "doc.google_ads_source.criteria_type": {"name": "criteria_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.criteria_type", "block_contents": "The type of the Criterion."}, "doc.google_ads_source.base_url": {"name": "base_url", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.base_url", "block_contents": "The base URL of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.url_host": {"name": "url_host", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.url_host", "block_contents": "The URL host of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.url_path": {"name": "url_path", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.url_path", "block_contents": "The URL path of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_source": {"name": "utm_source", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_source", "block_contents": "The utm_source parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_medium": {"name": "utm_medium", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_medium", "block_contents": "The utm_medium parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_campaign": {"name": "utm_campaign", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_campaign", "block_contents": "The utm_campaign parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_content": {"name": "utm_content", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_content", "block_contents": "The utm_content parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.utm_term": {"name": "utm_term", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.utm_term", "block_contents": "The utm_term parameter of the ad, extracted from the `final_urls`."}, "doc.google_ads_source.updated_at": {"name": "updated_at", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.updated_at", "block_contents": "Timestamp of when the record was last updated in Google Ads."}, "doc.google_ads_source.ad_type": {"name": "ad_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_type", "block_contents": "The type of the ad in Google Ads."}, "doc.google_ads_source.ad_group_type": {"name": "ad_group_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_group_type", "block_contents": "The type of the ad group in Google Ads."}, "doc.google_ads_source.is_most_recent_record": {"name": "is_most_recent_record", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.is_most_recent_record", "block_contents": "Boolean representing whether the record is the most recent version of the object."}, "doc.google_ads_source.ad_network_type": {"name": "ad_network_type", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.ad_network_type", "block_contents": "The Google Ad network type used across the account."}, "doc.google_ads_source.device": {"name": "device", "resource_type": "doc", "package_name": "google_ads_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.google_ads_source.device", "block_contents": "Account ad performance per unique device where the ads were served."}}, "exposures": {}, "metrics": {}, "groups": {}, "selectors": {}, "disabled": {}, "parent_map": {"model.develop.my_first_dbt_model": [], "model.develop.my_second_dbt_model": ["model.develop.my_first_dbt_model"], "model.google_ads.google_ads__keyword_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_criterion_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__keyword_stats"], "model.google_ads.google_ads__campaign_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__campaign_history", "model.google_ads_source.stg_google_ads__campaign_stats"], "model.google_ads.google_ads__url_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history", "model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__campaign_history"], "model.google_ads.google_ads__ad_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_history", "model.google_ads_source.stg_google_ads__ad_stats", "model.google_ads_source.stg_google_ads__campaign_history"], "model.google_ads.google_ads__ad_group_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__ad_group_history", "model.google_ads_source.stg_google_ads__ad_group_stats", "model.google_ads_source.stg_google_ads__campaign_history"], "model.google_ads.google_ads__account_report": ["model.google_ads_source.stg_google_ads__account_history", "model.google_ads_source.stg_google_ads__account_stats"], "model.google_ads_source.stg_google_ads__ad_group_stats": ["model.google_ads_source.stg_google_ads__ad_group_stats_tmp"], "model.google_ads_source.stg_google_ads__account_stats": ["model.google_ads_source.stg_google_ads__account_stats_tmp"], "model.google_ads_source.stg_google_ads__ad_group_history": ["model.google_ads_source.stg_google_ads__ad_group_history_tmp"], "model.google_ads_source.stg_google_ads__ad_history": ["model.google_ads_source.stg_google_ads__ad_history_tmp"], "model.google_ads_source.stg_google_ads__keyword_stats": ["model.google_ads_source.stg_google_ads__keyword_stats_tmp"], "model.google_ads_source.stg_google_ads__ad_stats": ["model.google_ads_source.stg_google_ads__ad_stats_tmp"], "model.google_ads_source.stg_google_ads__ad_group_criterion_history": ["model.google_ads_source.stg_google_ads__ad_group_criterion_history_tmp"], "model.google_ads_source.stg_google_ads__campaign_stats": ["model.google_ads_source.stg_google_ads__campaign_stats_tmp"], "model.google_ads_source.stg_google_ads__campaign_history": ["model.google_ads_source.stg_google_ads__campaign_history_tmp"], "model.google_ads_source.stg_google_ads__account_history": ["model.google_ads_source.stg_google_ads__account_history_tmp"], "model.google_ads_source.stg_google_ads__account_stats_tmp": 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diff --git a/docs/run_results.json b/docs/run_results.json
index fa06792..c511c6a 100644
--- a/docs/run_results.json
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diff --git a/integration_tests/dbt_project.yml b/integration_tests/dbt_project.yml
index 80c9d7b..fb09a34 100644
--- a/integration_tests/dbt_project.yml
+++ b/integration_tests/dbt_project.yml
@@ -33,6 +33,3 @@ seeds:
 dispatch:
   - macro_namespace: dbt_utils
     search_order: ['spark_utils', 'dbt_utils']
-
-  - macro_namespace: dbt_expectations
-    search_order: ['google_ads_source', 'dbt_expectations']
diff --git a/packages.yml b/packages.yml
index 915fd33..b9146b1 100644
--- a/packages.yml
+++ b/packages.yml
@@ -1,7 +1,3 @@
 packages:
-# - package: fivetran/google_ads_source
-#   version: [">=0.10.0", "<0.11.0"]
-
-  - git: https://github.com/fivetran/dbt_google_ads_source.git
-    revision: MagicBot/add-union-schema
-    warn-unpinned: false
+- package: fivetran/google_ads_source
+  version: [">=0.10.0", "<0.11.0"]
\ No newline at end of file