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ad5b5120ec
* remove unused columns and change property document_attribute_columns to metadata * format file * fix 'metadata' column on output * run check * fix test on nltk * remove docs changes
67 lines
1.8 KiB
Python
67 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.index.workflows.create_final_documents import (
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run_workflow,
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workflow_name,
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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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)
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async def test_create_final_documents():
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expected = load_test_table(workflow_name)
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context = await create_test_context(
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storage=["create_base_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(workflow_name, context.storage)
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compare_outputs(actual, expected)
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async def test_create_final_documents_with_attribute_columns():
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expected = load_test_table(workflow_name)
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context = await create_test_context(
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storage=["create_base_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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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(workflow_name, context.storage)
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# we should have dropped "title" and added "attributes"
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# our test dataframe does not have attributes, so we'll assert without it
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# and separately confirm it is in the output
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compare_outputs(
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actual, expected, columns=["id", "human_readable_id", "text", "text_unit_ids"]
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)
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assert len(actual.columns) == 5
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assert "title" not in actual.columns
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assert "metadata" in actual.columns
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