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96219a2182
* Add workflow registration * Add ability to mutate config by workflows * Separate graph finalization * Separate graph pruning * Semver * Update tests * Update smoke tests * Fix iterrows on create_graph * Remove prune_graph from llm construction * Update test data * Remove prune_graph from smoke tests
37 lines
1.0 KiB
Python
37 lines
1.0 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.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(
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config,
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context,
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NoopWorkflowCallbacks(),
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)
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nodes_actual = await load_table_from_storage("entities", context.storage)
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assert len(nodes_actual) == 21
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