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46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import asyncio
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import json
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from pathlib import Path
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from workflow import EvalInput, create_workflow
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async def test_single_row():
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"""Smoke test - requires Azure OpenAI credentials in .env"""
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wf = create_workflow()
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result = await wf.run(EvalInput(
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document="The quick brown fox jumps over the lazy dog.",
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summary="A fox jumped over a dog.",
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))
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scores = result.get_outputs()[0]
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assert isinstance(scores, dict)
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assert set(scores.keys()) == {"coherence", "consistency", "fluency", "relevance"}
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for v in scores.values():
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assert isinstance(v, float)
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print(f"PASS: test_single_row (scores={scores})")
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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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document=row["document"],
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summary=row["summary"],
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))
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scores = result.get_outputs()[0]
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assert isinstance(scores, dict), f"Row {i}: expected dict, got {type(scores)}"
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print(f" Row {i}: scores={scores}")
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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_single_row()
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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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