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a15942629b
* Add NLP verb test * Add finalize_graph tests * Add more thorough final column assertions
69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks
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from graphrag.config.create_graphrag_config import create_graphrag_config
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from graphrag.data_model.schemas import DOCUMENTS_FINAL_COLUMNS
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from graphrag.index.workflows.create_final_documents import (
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run_workflow,
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)
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from graphrag.utils.storage import load_table_from_storage
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from .util import (
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DEFAULT_MODEL_CONFIG,
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compare_outputs,
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create_test_context,
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load_test_table,
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update_document_metadata,
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)
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async def test_create_final_documents():
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expected = load_test_table("documents")
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context = await create_test_context(
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storage=["text_units"],
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)
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config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
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await run_workflow(
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config,
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context,
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NoopWorkflowCallbacks(),
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)
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actual = await load_table_from_storage("documents", context.storage)
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compare_outputs(actual, expected)
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for column in DOCUMENTS_FINAL_COLUMNS:
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assert column in actual.columns
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async def test_create_final_documents_with_metadata_column():
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context = await create_test_context(
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storage=["text_units"],
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)
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config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
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config.input.metadata = ["title"]
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# simulate the metadata construction during initial input loading
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await update_document_metadata(config.input.metadata, context)
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expected = await load_table_from_storage("documents", context.storage)
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await run_workflow(
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config,
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context,
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NoopWorkflowCallbacks(),
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)
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actual = await load_table_from_storage("documents", context.storage)
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compare_outputs(actual, expected)
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for column in DOCUMENTS_FINAL_COLUMNS:
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assert column in actual.columns
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