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chore: import upstream snapshot with attribution
2026-07-13 12:37:31 +08:00

47 lines
1.5 KiB
Python

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
from graphrag.data_model.schemas import (
ENTITIES_FINAL_COLUMNS,
RELATIONSHIPS_FINAL_COLUMNS,
)
from graphrag.index.workflows.finalize_graph import run_workflow
from tests.unit.config.utils import get_default_graphrag_config
from .util import (
create_test_context,
load_test_table,
)
async def test_finalize_graph():
context = await _prep_tables()
config = get_default_graphrag_config()
await run_workflow(config, context)
nodes_actual = await context.output_table_provider.read_dataframe("entities")
edges_actual = await context.output_table_provider.read_dataframe("relationships")
for column in ENTITIES_FINAL_COLUMNS:
assert column in nodes_actual.columns
for column in RELATIONSHIPS_FINAL_COLUMNS:
assert column in edges_actual.columns
async def _prep_tables():
context = await create_test_context(
storage=["entities", "relationships"],
)
# edit the tables to eliminate final fields that wouldn't be on the inputs
entities = load_test_table("entities")
entities.drop(columns=["degree"], inplace=True)
await context.output_table_provider.write_dataframe("entities", entities)
relationships = load_test_table("relationships")
relationships.drop(columns=["combined_degree"], inplace=True)
await context.output_table_provider.write_dataframe("relationships", relationships)
return context