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d17dfd01f9
* Refactor graph creation * Semver * Spellcheck * Update integ pipeline * Fix cast * Improve pandas chaining * Cleaner apply * Use list comprehensions --------- Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
77 lines
2.0 KiB
Python
77 lines
2.0 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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from graphrag.index.run.utils import create_run_context
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from graphrag.index.workflows.v1.create_final_documents import (
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build_steps,
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workflow_name,
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)
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from .util import (
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compare_outputs,
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get_config_for_workflow,
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get_workflow_output,
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load_input_tables,
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load_test_table,
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)
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async def test_create_final_documents():
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input_tables = load_input_tables([
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"workflow:create_base_text_units",
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])
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expected = load_test_table(workflow_name)
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context = create_run_context(None, None, None)
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await context.runtime_storage.set(
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"base_text_units", input_tables["workflow:create_base_text_units"]
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)
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config = get_config_for_workflow(workflow_name)
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steps = build_steps(config)
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actual = await get_workflow_output(
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input_tables,
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{
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"steps": steps,
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},
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context=context,
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)
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compare_outputs(actual, expected)
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async def test_create_final_documents_with_attribute_columns():
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input_tables = load_input_tables(["workflow:create_base_text_units"])
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expected = load_test_table(workflow_name)
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context = create_run_context(None, None, None)
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await context.runtime_storage.set(
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"base_text_units", input_tables["workflow:create_base_text_units"]
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)
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config = get_config_for_workflow(workflow_name)
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config["document_attribute_columns"] = ["title"]
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steps = build_steps(config)
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actual = await get_workflow_output(
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input_tables,
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{
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"steps": steps,
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},
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context=context,
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)
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# we should have dropped "title" and added "attributes"
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# our test dataframe does not have attributes, so we'll assert without it
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# and separately confirm it is in the output
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compare_outputs(
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actual, expected, columns=["id", "human_readable_id", "text", "text_unit_ids"]
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)
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assert len(actual.columns) == 5
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assert "title" not in actual.columns
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assert "attributes" in actual.columns
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