graphrag/tests/verbs/test_create_final_documents.py
Nathan Evans f5c5876dde
Reorganize flows (#1240)
* Extract base docs and entity graph

* Move extracted entities and text units

* Move communities and community reports

* Move covariates and final documents

* Move entities, nodes, relationships

* Move text_units and summarized entities

* Assert all snapshot null cases

* Remove disabled steps util

* Remove incorrect use of input "others"

* Convert text_embed_df to just return the embeddings, not update the df

* Convert snapshot functions to noops

* Semver

* Remove lingering covariates_enabled param

* Name consistency

* Syntax cleanup
2024-10-02 08:57:08 -07:00

66 lines
1.7 KiB
Python

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
from graphrag.index.workflows.v1.create_final_documents 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_documents():
input_tables = load_input_tables([
"workflow:create_base_documents",
])
expected = load_expected(workflow_name)
config = get_config_for_workflow(workflow_name)
config["skip_raw_content_embedding"] = True
steps = build_steps(config)
actual = await get_workflow_output(
input_tables,
{
"steps": steps,
},
)
compare_outputs(actual, expected)
async def test_create_final_documents_with_embeddings():
input_tables = load_input_tables([
"workflow:create_base_documents",
])
expected = load_expected(workflow_name)
config = get_config_for_workflow(workflow_name)
config["skip_raw_content_embedding"] = False
# default config has a detailed standard embed config
# just override the strategy to mock so the rest of the required parameters are in place
config["document_raw_content_embed"]["strategy"]["type"] = "mock"
steps = build_steps(config)
actual = await get_workflow_output(
input_tables,
{
"steps": steps,
},
)
assert "raw_content_embedding" in actual.columns
assert len(actual.columns) == len(expected.columns) + 1
# the mock impl returns an array of 3 floats for each embedding
assert len(actual["raw_content_embedding"][:1][0]) == 3