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61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
import asyncio
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import json
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from pathlib import Path
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from aggregation import aggregate
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from eval_runner import EvalRunner
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from workflow import EvalInput, create_workflow
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async def test_exact_match():
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wf = create_workflow()
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result = await wf.run(EvalInput(
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entities=["software engineer", "CEO"],
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ground_truth='"CEO, Software Engineer, Finance Manager"'
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))
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output = result.get_outputs()[0]
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assert output["exact_match"] == 0
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assert output["partial_match"] == 1
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print("PASS: test_exact_match")
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async def test_batch():
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dataset = [
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EvalInput(entities=["CEO"], ground_truth="CEO, Engineer"),
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EvalInput(entities=["CEO", "Engineer"], ground_truth="CEO, Engineer"),
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]
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runner = EvalRunner(
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workflow_factory=create_workflow,
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aggregate_fn=aggregate,
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concurrency=5,
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)
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result = await runner.run(dataset)
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assert result.metrics["partial_match_rate"] == 1.0
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print("PASS: test_batch")
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async def test_data_jsonl():
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"""Run eval on every row in data.jsonl"""
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data_path = Path(__file__).parent / "data.jsonl"
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rows = [json.loads(line) for line in data_path.read_text(encoding="utf-8").splitlines() if line.strip()]
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wf = create_workflow()
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for i, row in enumerate(rows):
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result = await wf.run(EvalInput(
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entities=row["entities"],
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ground_truth=row["ground_truth"],
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))
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output = result.get_outputs()[0]
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assert isinstance(output, dict), f"Row {i}: expected dict, got {type(output)}"
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print(f" Row {i}: output={output}")
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print(f"PASS: test_data_jsonl ({len(rows)} rows)")
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async def main():
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await test_exact_match()
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await test_batch()
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await test_data_jsonl()
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print("\nAll tests passed!")
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if __name__ == "__main__":
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asyncio.run(main())
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