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* Fix all human_readable_id columns to start at 0 * Semver
81 lines
2.6 KiB
Python
81 lines
2.6 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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from graphrag.config.create_graphrag_config import create_graphrag_config
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from graphrag.data_model.schemas import (
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ENTITIES_FINAL_COLUMNS,
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RELATIONSHIPS_FINAL_COLUMNS,
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)
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from graphrag.index.workflows.finalize_graph import (
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run_workflow,
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)
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from graphrag.utils.storage import load_table_from_storage, write_table_to_storage
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from .util import (
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DEFAULT_MODEL_CONFIG,
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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_finalize_graph():
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context = await _prep_tables()
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config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
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await run_workflow(config, context)
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nodes_actual = await load_table_from_storage("entities", context.output_storage)
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edges_actual = await load_table_from_storage(
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"relationships", context.output_storage
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)
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# x and y will be zero with the default configuration, because we do not embed/umap
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assert nodes_actual["x"].sum() == 0
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assert nodes_actual["y"].sum() == 0
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for column in ENTITIES_FINAL_COLUMNS:
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assert column in nodes_actual.columns
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for column in RELATIONSHIPS_FINAL_COLUMNS:
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assert column in edges_actual.columns
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async def test_finalize_graph_umap():
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context = await _prep_tables()
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config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
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config.embed_graph.enabled = True
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config.umap.enabled = True
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await run_workflow(config, context)
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nodes_actual = await load_table_from_storage("entities", context.output_storage)
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edges_actual = await load_table_from_storage(
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"relationships", context.output_storage
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)
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# x and y should have some value other than zero due to umap
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assert nodes_actual["x"].sum() != 0
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assert nodes_actual["y"].sum() != 0
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for column in ENTITIES_FINAL_COLUMNS:
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assert column in nodes_actual.columns
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for column in RELATIONSHIPS_FINAL_COLUMNS:
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assert column in edges_actual.columns
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async def _prep_tables():
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context = await create_test_context(
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storage=["entities", "relationships"],
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)
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# edit the tables to eliminate final fields that wouldn't be on the inputs
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entities = load_test_table("entities")
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entities.drop(columns=["x", "y", "degree"], inplace=True)
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await write_table_to_storage(entities, "entities", context.output_storage)
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relationships = load_test_table("relationships")
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relationships.drop(columns=["combined_degree"], inplace=True)
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await write_table_to_storage(relationships, "relationships", context.output_storage)
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return context
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