graphrag/tests/verbs/test_finalize_graph.py

87 lines
2.7 KiB
Python
Raw Permalink Normal View History

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
from graphrag.config.create_graphrag_config import create_graphrag_config
from graphrag.data_model.schemas import (
ENTITIES_FINAL_COLUMNS,
RELATIONSHIPS_FINAL_COLUMNS,
)
from graphrag.index.workflows.finalize_graph import (
run_workflow,
)
from graphrag.utils.storage import load_table_from_storage, write_table_to_storage
from .util import (
DEFAULT_MODEL_CONFIG,
create_test_context,
load_test_table,
)
async def test_finalize_graph():
context = await _prep_tables()
config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
await run_workflow(config, context)
nodes_actual = await load_table_from_storage("entities", context.output_storage)
edges_actual = await load_table_from_storage(
"relationships", context.output_storage
)
assert len(nodes_actual) == 291
assert len(edges_actual) == 452
# x and y will be zero with the default configuration, because we do not embed/umap
assert nodes_actual["x"].sum() == 0
assert nodes_actual["y"].sum() == 0
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 test_finalize_graph_umap():
context = await _prep_tables()
config = create_graphrag_config({"models": DEFAULT_MODEL_CONFIG})
config.embed_graph.enabled = True
config.umap.enabled = True
await run_workflow(config, context)
nodes_actual = await load_table_from_storage("entities", context.output_storage)
edges_actual = await load_table_from_storage(
"relationships", context.output_storage
)
assert len(nodes_actual) == 291
assert len(edges_actual) == 452
# x and y should have some value other than zero due to umap
assert nodes_actual["x"].sum() != 0
assert nodes_actual["y"].sum() != 0
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=["x", "y", "degree"], inplace=True)
await write_table_to_storage(entities, "entities", context.output_storage)
relationships = load_test_table("relationships")
relationships.drop(columns=["combined_degree"], inplace=True)
await write_table_to_storage(relationships, "relationships", context.output_storage)
return context