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chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

68 lines
2.3 KiB
Python

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 "f1_score" in scores
assert "gpt_coherence" in scores
assert "ada_similarity" in scores
print(f"PASS: test_single_row (scores={scores})")
async def test_f1_only():
"""Test f1 metric without LLM"""
wf = create_workflow()
result = await wf.run(EvalInput(
question="What?",
answer="The Alpine Explorer Tent",
context="",
ground_truth="The Alpine Explorer Tent is waterproof",
metrics="f1_score",
))
scores = result.get_outputs()[0]
assert scores["f1_score"] > 0
print(f"PASS: test_f1_only (f1={scores['f1_score']})")
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_f1_only()
await test_data_jsonl()
print("\nAll tests passed! (run test_single_row with Azure OpenAI credentials)")
if __name__ == "__main__":
asyncio.run(main())