graphrag/tests/verbs/test_create_final_nodes.py

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# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
from graphrag.index.storage.memory_pipeline_storage import MemoryPipelineStorage
from graphrag.index.workflows.v1.create_final_nodes import (
build_steps,
workflow_name,
)
from .util import (
compare_outputs,
get_config_for_workflow,
get_workflow_output,
load_expected,
load_input_tables,
)
async def test_create_final_nodes():
input_tables = load_input_tables([
"workflow:create_base_entity_graph",
])
expected = load_expected(workflow_name)
storage = MemoryPipelineStorage()
config = get_config_for_workflow(workflow_name)
# default config turns UMAP off, which translates into false for layout
# we don't have graph embeddings in the test data, so this will fail if True
config["layout_graph_enabled"] = False
steps = build_steps(config)
actual = await get_workflow_output(
input_tables,
{
"steps": steps,
},
storage=storage,
)
compare_outputs(actual, expected)
assert len(storage.keys()) == 0, "Storage should be empty"
async def test_create_final_nodes_with_snapshot():
input_tables = load_input_tables([
"workflow:create_base_entity_graph",
])
expected = load_expected(workflow_name)
storage = MemoryPipelineStorage()
config = get_config_for_workflow(workflow_name)
# default config turns UMAP off, which translates into false for layout
# we don't have graph embeddings in the test data, so this will fail if True
config["layout_graph_enabled"] = False
config["snapshot_top_level_nodes"] = True
steps = build_steps(config)
actual = await get_workflow_output(
input_tables,
{
"steps": steps,
},
storage=storage,
)
assert actual.shape == expected.shape, "Graph dataframe shapes differ"
assert storage.keys() == [
"top_level_nodes.json",
], "Graph snapshot keys differ"