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1df89727c3
* Move covariate run conditional * All pipeline registration * Fix method name construction * Rename context storage -> output_storage * Rename OutputConfig as generic StorageConfig * Reuse Storage model under InputConfig * Move input storage creation out of document loading * Move document loading into workflows * Semver * Fix smoke test config for new workflows * Fix unit tests --------- Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
32 lines
902 B
Python
32 lines
902 B
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.config.models.prune_graph_config import PruneGraphConfig
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from graphrag.index.workflows.prune_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
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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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)
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async def test_prune_graph():
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context = await create_test_context(
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storage=["entities", "relationships"],
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)
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config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
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config.prune_graph = PruneGraphConfig(
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min_node_freq=4, min_node_degree=0, min_edge_weight_pct=0
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)
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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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assert len(nodes_actual) == 21
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