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Original file line number | Diff line number | Diff line change |
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import json | ||
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from superduper import Application, Document | ||
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def test_build_from_template(db): | ||
from superduper import templates | ||
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db.apply(templates.simple_rag) | ||
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with open('test/material/sample_app/component.json') as f: | ||
component = json.load(f) | ||
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component = templates.simple_rag.form_template | ||
component['_variables']['output_prefix'] = '_output__' | ||
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c = Document.decode(component, db=db).unpack() | ||
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assert isinstance(c, Application) |
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Original file line number | Diff line number | Diff line change |
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{ | ||
"_variables": { | ||
"table_name": "sample_simple_rag", | ||
"id_field": "_id", | ||
"databackend": "mongodb", | ||
"base_url": null, | ||
"api_key": null, | ||
"embedding_model": "text-embedding-ada-002", | ||
"llm_model": "gpt-3.5-turbo" | ||
}, | ||
"types": { | ||
"id_field": { | ||
"type": "str", | ||
"default": "_id" | ||
}, | ||
"embedding_model": { | ||
"type": "str", | ||
"default": "text-embedding-ada-002" | ||
}, | ||
"llm_model": { | ||
"type": "str", | ||
"default": "gpt-3.5-turbo" | ||
}, | ||
"table_name": { | ||
"type": "str", | ||
"default": "sample_simple_rag" | ||
}, | ||
"databackend": { | ||
"type": "str", | ||
"default": "mongodb" | ||
}, | ||
"base_url": { | ||
"type": "str", | ||
"optional": true, | ||
"default": null | ||
}, | ||
"api_key": { | ||
"type": "str", | ||
"optional": true, | ||
"default": null | ||
} | ||
}, | ||
"_base": "?simple-rag-app", | ||
"_builds": { | ||
"datatype:dill": { | ||
"_path": "superduper.components.datatype.get_serializer", | ||
"method": "dill", | ||
"encodable": "artifact" | ||
}, | ||
"727d3bb560939e1211f9cac189d56e07e9622eeb": { | ||
"_path": "superduper.components.datatype.Artifact", | ||
"datatype": "?datatype:dill", | ||
"uri": null, | ||
"blob": "&:blob:727d3bb560939e1211f9cac189d56e07e9622eeb" | ||
}, | ||
"model:chunker": { | ||
"_object": "?727d3bb560939e1211f9cac189d56e07e9622eeb", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"signature": "singleton", | ||
"datatype": null, | ||
"output_schema": null, | ||
"model_update_kwargs": {}, | ||
"predict_kwargs": {}, | ||
"compute_kwargs": {}, | ||
"validation": null, | ||
"metric_values": {}, | ||
"num_workers": 0, | ||
"serve": false, | ||
"trainer": null, | ||
"deploy": false, | ||
"chunk_size": 200 | ||
}, | ||
"var-table-name-select-var-id-field-x": { | ||
"_path": "superduper_<var:databackend>.query.parse_query", | ||
"documents": [], | ||
"query": "<var:table_name>.select(\"<var:id_field>\", \"x\")" | ||
}, | ||
"listener:chunker": { | ||
"_path": "superduper.components.listener.Listener", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"cdc_table": "<var:table_name>", | ||
"key": "x", | ||
"model": "?model:chunker", | ||
"predict_kwargs": {}, | ||
"select": "?var-table-name-select-var-id-field-x", | ||
"flatten": true | ||
}, | ||
"datatype:sqlvector[1536]": { | ||
"_path": "superduper.components.vector_index.sqlvector", | ||
"shape": [ | ||
1536 | ||
] | ||
}, | ||
"model:<var:embedding_model>": { | ||
"_path": "superduper_openai.model.OpenAIEmbedding", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"signature": "singleton", | ||
"datatype": "?datatype:sqlvector[1536]", | ||
"output_schema": null, | ||
"model_update_kwargs": {}, | ||
"predict_kwargs": {}, | ||
"compute_kwargs": {}, | ||
"validation": null, | ||
"metric_values": {}, | ||
"num_workers": 0, | ||
"serve": false, | ||
"trainer": null, | ||
"deploy": false, | ||
"model": "<var:embedding_model>", | ||
"max_batch_size": 8, | ||
"openai_api_key": null, | ||
"openai_api_base": null, | ||
"client_kwargs": { | ||
"base_url": null, | ||
"api_key": null | ||
}, | ||
"shape": [ | ||
1536 | ||
], | ||
"batch_size": 100 | ||
}, | ||
"outputs-chunker-?(listener:chunker.uuid)-select-id-source-outputs-chunker-?(listener:chunker.uuid)": { | ||
"_path": "superduper_<var:databackend>.query.parse_query", | ||
"documents": [], | ||
"query": "<var:output_prefix>chunker__?(listener:chunker.uuid).select(\"id\", \"_source\", \"<var:output_prefix>chunker__?(listener:chunker.uuid)\")" | ||
}, | ||
"listener:embeddinglistener": { | ||
"_path": "superduper.components.listener.Listener", | ||
"upstream": [ | ||
"?listener:chunker", | ||
"?listener:chunker" | ||
], | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"cdc_table": "<var:output_prefix>chunker__?(listener:chunker.uuid)", | ||
"key": "<var:output_prefix>chunker__?(listener:chunker.uuid)", | ||
"model": "?model:<var:embedding_model>", | ||
"predict_kwargs": {}, | ||
"select": "?outputs-chunker-?(listener:chunker.uuid)-select-id-source-outputs-chunker-?(listener:chunker.uuid)", | ||
"flatten": false | ||
}, | ||
"vector_index:vectorindex": { | ||
"_path": "superduper.components.vector_index.VectorIndex", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"cdc_table": "<var:output_prefix>embeddinglistener__?(listener:embeddinglistener.uuid)", | ||
"indexing_listener": "?listener:embeddinglistener", | ||
"compatible_listener": null, | ||
"measure": "cosine", | ||
"metric_values": {} | ||
}, | ||
"outputs-chunker-?(listener:chunker.uuid)-select-like-outputs-chunker-?(listener:chunker.uuid)-var-query-vector-index-vectorindex-n-5": { | ||
"_path": "superduper_<var:databackend>.query.parse_query", | ||
"documents": [ | ||
{ | ||
"<var:output_prefix>chunker__?(listener:chunker.uuid)": "<var:query>" | ||
} | ||
], | ||
"query": "<var:output_prefix>chunker__?(listener:chunker.uuid).select().like(documents[0], vector_index=\"vectorindex\", n=5)" | ||
}, | ||
"model:llm-model": { | ||
"_path": "superduper_openai.model.OpenAIChatCompletion", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"signature": "singleton", | ||
"datatype": null, | ||
"output_schema": null, | ||
"model_update_kwargs": {}, | ||
"predict_kwargs": {}, | ||
"compute_kwargs": {}, | ||
"validation": null, | ||
"metric_values": {}, | ||
"num_workers": 0, | ||
"serve": false, | ||
"trainer": null, | ||
"deploy": false, | ||
"model": "<var:llm_model>", | ||
"max_batch_size": 8, | ||
"openai_api_key": null, | ||
"openai_api_base": null, | ||
"client_kwargs": { | ||
"base_url": null, | ||
"api_key": null | ||
}, | ||
"batch_size": 1, | ||
"prompt": "" | ||
}, | ||
"model:simple_rag": { | ||
"_path": "superduper.components.model.RAGModel", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"signature": "singleton", | ||
"datatype": null, | ||
"output_schema": null, | ||
"model_update_kwargs": {}, | ||
"predict_kwargs": {}, | ||
"compute_kwargs": {}, | ||
"validation": null, | ||
"metric_values": {}, | ||
"num_workers": 0, | ||
"serve": false, | ||
"trainer": null, | ||
"deploy": false, | ||
"prompt_template": "Use the following context snippets, these snippets are not ordered!, Answer the question based on this context.\nThese snippets are samples from our internal data-repositories, and should be used exclusively and as a matter of priority to answer the question\n\n{context}\n\nHere's the question: {query}", | ||
"select": "?outputs-chunker-?(listener:chunker.uuid)-select-like-outputs-chunker-?(listener:chunker.uuid)-var-query-vector-index-vectorindex-n-5", | ||
"key": "<var:output_prefix>chunker__?(listener:chunker.uuid)", | ||
"llm": "?model:llm-model" | ||
}, | ||
"simple-rag-app": { | ||
"_path": "superduper.components.application.Application", | ||
"upstream": null, | ||
"plugins": null, | ||
"cache": true, | ||
"status": null, | ||
"components": [ | ||
"?listener:chunker", | ||
"?vector_index:vectorindex", | ||
"?model:simple_rag" | ||
], | ||
"namespace": null, | ||
"link": null, | ||
"_literals": [ | ||
"template" | ||
] | ||
} | ||
}, | ||
"_blobs": {}, | ||
"_files": {}, | ||
"_template_name": "simple_rag" | ||
} |