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c8c354e357
* Add source documents for verb tests * Remove entity_type erroneous column * Add new test data * Remove source/target degree columns * Remove top_level_node_id * Remove chunk column configs * Rename "chunk" to "text" * Rename "chunk" to "text" in base * Re-map document input to use base text units * Revert base text units as final documents dep * Update test data * Split/rename node source_id * Drop node size (dup of degree) * Drop document_ids from covariates * Remove unused document_ids from models * Remove n_tokens from covariate table * Fix missed document_ids delete * Wire base text units to final documents * Rename relationship rank as combined_degree * Add rank as first-class property to Relationship * Remove split_text operation * Fix relationships test parquet * Update test parquets * Add entity ids to community table * Remove stored graph embedding columns * Format * Semver * Fix JSON typo * Spelling * Rename lancedb * Sort lancedb * Fix unit test * Fix test to account for changing period * Update tests for separate embeddings * Format * Better assertion printing * Fix unit test for windows * Rename document.raw_content -> document.text * Remove read_documents function * Remove unused document summary from model * Remove unused imports * Format * Add new snapshots to default init * Use util to construct embeddings collection name * Align inc index model with branch changes * Update data and tests for int ids * Clean up embedding locs * Switch entity "name" to "title" for consistency * Fix short_id -> human_readable_id defaults * Format * Rework community IDs * Fix community size compute * Fix unit tests * Fix report read * Pare down nodes table output * Fix unit test * Fix merge * Fix community loading * Format * Fix community id report extraction * Update tests * Consistent short IDs and ordering * Update ordering and tests * Update incremental for new nodes model * Guard document columns loc * Match column ordering * Fix document guard * Update smoke tests * Fill NA on community extract * Logging for smoke test debug * Add parquet schema details doc * Fix community hierarchy guard * Use better empty hierarchy guard * Back-compat shims * Semver * Fix warning * Format * Remove default fallback * Reuse key
101 lines
2.8 KiB
Python
101 lines
2.8 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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import json
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import pytest
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from datashaper.errors import VerbParallelizationError
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from graphrag.config.enums import LLMType
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from graphrag.index.workflows.v1.create_final_community_reports import (
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build_steps,
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workflow_name,
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)
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from .util import (
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compare_outputs,
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get_config_for_workflow,
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get_workflow_output,
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load_expected,
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load_input_tables,
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)
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MOCK_RESPONSES = [
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json.dumps({
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"title": "<report_title>",
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"summary": "<executive_summary>",
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"rating": 2,
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"rating_explanation": "<rating_explanation>",
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"findings": [
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{
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"summary": "<insight_1_summary>",
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"explanation": "<insight_1_explanation",
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},
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{
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"summary": "<insight_2_summary>",
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"explanation": "<insight_2_explanation",
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},
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],
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})
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]
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MOCK_LLM_CONFIG = {"type": LLMType.StaticResponse, "responses": MOCK_RESPONSES}
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async def test_create_final_community_reports():
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input_tables = load_input_tables([
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"workflow:create_final_nodes",
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"workflow:create_final_covariates",
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"workflow:create_final_relationships",
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"workflow:create_final_entities",
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"workflow:create_final_communities",
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])
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expected = load_expected(workflow_name)
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config = get_config_for_workflow(workflow_name)
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config["create_community_reports"]["strategy"]["llm"] = MOCK_LLM_CONFIG
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steps = build_steps(config)
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actual = await get_workflow_output(
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input_tables,
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{
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"steps": steps,
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},
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)
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assert len(actual.columns) == len(expected.columns)
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# only assert a couple of columns that are not mock - most of this table is LLM-generated
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compare_outputs(actual, expected, columns=["community", "level"])
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# assert a handful of mock data items to confirm they get put in the right spot
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assert actual["rank"][:1][0] == 2
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assert actual["rank_explanation"][:1][0] == "<rating_explanation>"
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async def test_create_final_community_reports_missing_llm_throws():
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input_tables = load_input_tables([
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"workflow:create_final_nodes",
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"workflow:create_final_covariates",
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"workflow:create_final_relationships",
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"workflow:create_final_entities",
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"workflow:create_final_communities",
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])
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config = get_config_for_workflow(workflow_name)
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# deleting the llm config results in a default mock injection in run_graph_intelligence
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del config["create_community_reports"]["strategy"]["llm"]
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steps = build_steps(config)
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with pytest.raises(VerbParallelizationError):
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await get_workflow_output(
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input_tables,
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{
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"steps": steps,
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},
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)
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