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* 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>
86 lines
2.1 KiB
Python
86 lines
2.1 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_text_units 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_text_units():
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input_tables = load_input_tables([
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"workflow:create_base_text_units",
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"workflow:create_final_entities",
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"workflow:create_final_relationships",
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"workflow:create_final_covariates",
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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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config["covariates_enabled"] = True
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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_text_units_no_covariates():
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input_tables = load_input_tables([
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"workflow:create_base_text_units",
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"workflow:create_final_entities",
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"workflow:create_final_relationships",
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"workflow:create_final_covariates",
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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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config["covariates_enabled"] = False
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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're short a covariate_ids column
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columns = list(expected.columns.values)
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columns.remove("covariate_ids")
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compare_outputs(
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actual,
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expected,
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columns=columns,
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)
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