Datacatalog: Add 'search' sample (via synth).

datacatalog/samples/v1beta1/datacatalog_search.py

@@ -0,0 +1,92 @@
+# -*- coding: utf-8 -*-
+#
+# Copyright 2019 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# DO NOT EDIT! This is a generated sample ("RequestPagedAll",  "datacatalog_search")
+
+# To install the latest published package dependency, execute the following:
+#   pip install google-cloud-datacatalog
+
+# sample-metadata
+#   title:
+#   description: Search Catalog
+#   usage: python3 samples/v1beta1/datacatalog_search.py [--include_project_id "[Google Cloud Project ID]"] [--include_gcp_public_datasets false] [--query "[String in search query syntax]"]
+import sys
+
+# [START datacatalog_search]
+
+from google.cloud import datacatalog_v1beta1
+from google.cloud.datacatalog_v1beta1 import enums
+
+
+def sample_search_catalog(include_project_id, include_gcp_public_datasets, query):
+    """
+    Search Catalog
+
+    Args:
+      include_project_id Your Google Cloud project ID.
+      include_gcp_public_datasets If true, include Google Cloud Platform (GCP) public
+      datasets in the search results.
+      query Your query string.
+      See: https://cloud.google.com/data-catalog/docs/how-to/search-reference
+      Example: system=bigquery type=dataset
+    """
+
+    client = datacatalog_v1beta1.DataCatalogClient()
+
+    # include_project_id = '[Google Cloud Project ID]'
+    # include_gcp_public_datasets = False
+    # query = '[String in search query syntax]'
+    include_project_ids = [include_project_id]
+    scope = {
+        "include_project_ids": include_project_ids,
+        "include_gcp_public_datasets": include_gcp_public_datasets,
+    }
+
+    # Iterate over all results
+    for response_item in client.search_catalog(scope, query):
+        print(
+            u"Result type: {}".format(
+                enums.SearchResultType(response_item.search_result_type).name
+            )
+        )
+        print(u"Result subtype: {}".format(response_item.search_result_subtype))
+        print(
+            u"Relative resource name: {}".format(response_item.relative_resource_name)
+        )
+        print(u"Linked resource: {}\n".format(response_item.linked_resource))
+
+
+# [END datacatalog_search]
+
+
+def main():
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--include_project_id", type=str, default="[Google Cloud Project ID]"
+    )
+    parser.add_argument("--include_gcp_public_datasets", type=bool, default=False)
+    parser.add_argument("--query", type=str, default="[String in search query syntax]")
+    args = parser.parse_args()
+
+    sample_search_catalog(
+        args.include_project_id, args.include_gcp_public_datasets, args.query
+    )
+
+
+if __name__ == "__main__":
+    main()

datacatalog/synth.metadata

@@ -1,19 +1,19 @@
 {
-  "updateTime": "2019-07-20T12:17:02.340446Z",
+  "updateTime": "2019-07-26T12:17:03.436639Z",
   "sources": [
     {
       "generator": {
         "name": "artman",
-        "version": "0.30.1",
-        "dockerImage": "googleapis/artman@sha256:f1a2e851e5e012c59e1da4125480bb19878f86a4e7fac4f375f2e819956b5aa3"
+        "version": "0.31.0",
+        "dockerImage": "googleapis/artman@sha256:9aed6bbde54e26d2fcde7aa86d9f64c0278f741e58808c46573e488cbf6098f0"
       }
     },
     {
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "184ab77f4cee62332f8f9a689c70c9bea441f836",
-        "internalRef": "259048326"
+        "sha": "0906a9e74f4db789aee7fc5016ab828d3dd24f03",
+        "internalRef": "260061471"
       }
     },
     {