graphrag/tests/verbs/test_create_final_documents.py
Nathan Evans 981fd31963
Community children (#1704)
* Add children to the community tables

* Replace NaN children with empty list

* Replace subcommunity logic with built-in parent/child fields

* Remove restore_community_hierarchy

* Add children and frequency to migration notebook

* Format

* Semver

* Add children to reports

* Update tests

---------

Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
2025-02-13 17:03:51 -08:00

70 lines
1.9 KiB
Python

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks
from graphrag.config.create_graphrag_config import create_graphrag_config
from graphrag.index.workflows.create_final_documents import (
run_workflow,
)
from graphrag.utils.storage import load_table_from_storage
from .util import (
DEFAULT_MODEL_CONFIG,
compare_outputs,
create_test_context,
load_test_table,
update_document_metadata,
)
async def test_create_final_documents():
expected = load_test_table("documents")
context = await create_test_context(
storage=["text_units"],
)
config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
await run_workflow(
config,
context,
NoopWorkflowCallbacks(),
)
actual = await load_table_from_storage("documents", context.storage)
compare_outputs(actual, expected)
async def test_create_final_documents_with_metadata_column():
context = await create_test_context(
storage=["text_units"],
)
config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
config.input.metadata = ["title"]
# simulate the metadata construction during initial input loading
await update_document_metadata(config.input.metadata, context)
expected = await load_table_from_storage("documents", context.storage)
await run_workflow(
config,
context,
NoopWorkflowCallbacks(),
)
actual = await load_table_from_storage("documents", context.storage)
# our test dataframe does not have metadata, so we'll assert without it
# and separately confirm it is in the output
compare_outputs(
actual, expected, columns=["id", "human_readable_id", "text", "metadata"]
)
assert len(actual.columns) == 7
assert "title" in actual.columns
assert "text_unit_ids" in actual.columns
assert "metadata" in actual.columns