import asyncio import json from pathlib import Path from workflow import EvalInput, create_workflow async def test_single_row(): """Smoke test - requires Azure OpenAI credentials in .env""" wf = create_workflow() result = await wf.run(EvalInput( question="Which tent is the most waterproof?", answer="The Alpine Explorer Tent is the most waterproof.", context="From the our product list, the alpine explorer tent is the most waterproof.", ground_truth="The Alpine Explorer Tent has the highest rainfly waterproof rating at 3000m", )) scores = result.get_outputs()[0] assert isinstance(scores, dict) assert len(scores) == 8 print(f"PASS: test_single_row (scores={scores})") async def test_selective_metrics(): """Test with only some metrics enabled""" wf = create_workflow() result = await wf.run(EvalInput( question="What is AI?", answer="Artificial intelligence.", context="AI stands for artificial intelligence.", ground_truth="Artificial intelligence", metrics="grounding,creativity", )) scores = result.get_outputs()[0] assert scores["answer_correctness"] is None assert scores["context_recall"] is None print(f"PASS: test_selective_metrics (scores={scores})") async def test_data_jsonl(): """Run eval on every row in data.jsonl""" data_path = Path(__file__).parent / "data.jsonl" rows = [json.loads(line) for line in data_path.read_text(encoding="utf-8").splitlines() if line.strip()] wf = create_workflow() for i, row in enumerate(rows): context = row.get("context", "") if isinstance(context, list): context = "\n".join(context) result = await wf.run(EvalInput( question=row["question"], answer=row["answer"], context=context, ground_truth=row["ground_truth"], )) scores = result.get_outputs()[0] assert isinstance(scores, dict), f"Row {i}: expected dict, got {type(scores)}" print(f" Row {i}: scores={scores}") print(f"PASS: test_data_jsonl ({len(rows)} rows)") async def main(): await test_single_row() await test_selective_metrics() await test_data_jsonl() print("\nAll tests passed!") if __name__ == "__main__": asyncio.run(main())