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2de302ff0d
* Setup basic verb test runner * Replace join_text_units_to_entity_ids with subflow * Update comments * Replace join_text_units_to_relationship_ids subflow * Roll in final select * Reuse assertion util * Small fix + format * Format/typing * Semver * Format/typing * Semver * Revert format changes * Fix smoke test subworkflow count * Edit subworkflows for another smoke test
52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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from typing import cast
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import pandas as pd
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from datashaper import Workflow
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def load_input_tables(inputs: list[str]) -> dict[str, pd.DataFrame]:
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"""Harvest all the referenced input IDs from the workflow being tested and pass them here."""
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# stick all the inputs in a map - Workflow looks them up by name
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input_tables: dict[str, pd.DataFrame] = {}
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for input in inputs:
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# remove the workflow: prefix if it exists, because that is not part of the actual table filename
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name = input.replace("workflow:", "")
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input_tables[input] = pd.read_parquet(f"tests/verbs/data/{name}.parquet")
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return input_tables
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def load_expected(output: str) -> pd.DataFrame:
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"""Pass in the workflow output (generally the workflow name)"""
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return pd.read_parquet(f"tests/verbs/data/{output}.parquet")
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async def get_workflow_output(
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input_tables: dict[str, pd.DataFrame], schema: dict
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) -> pd.DataFrame:
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"""Pass in the input tables, the schema, and the output name"""
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# the bare minimum workflow is the pipeline schema and table context
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workflow = Workflow(
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schema=schema,
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input_tables=input_tables,
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)
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await workflow.run()
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# if there's only one output, it is the default here, no name required
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return cast(pd.DataFrame, workflow.output())
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def compare_outputs(actual: pd.DataFrame, expected: pd.DataFrame) -> None:
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try:
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assert actual.shape == expected.shape
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except AssertionError:
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print("Expected:")
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print(expected.head())
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print("Actual:")
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print(actual.head())
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raise AssertionError from None
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