wehub-resource-sync
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48 lines
1.5 KiB
Python
48 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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question="What is deep learning?",
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answer="Deep learning is a subset of machine learning.",
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context="Deep learning uses neural networks with many layers.",
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))
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score = result.get_outputs()[0]
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assert isinstance(score, float)
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print(f"PASS: test_single_row (score={score})")
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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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context = row["context"]
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if isinstance(context, list):
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context = "\n".join(context)
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result = await wf.run(EvalInput(
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question=row["question"],
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answer=row["answer"],
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context=context,
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))
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score = result.get_outputs()[0]
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assert isinstance(score, float), f"Row {i}: expected float, got {type(score)}"
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print(f" Row {i}: score={score}")
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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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