Adriano
403c923188
json.JSONDecodeError e' un ValueError: KeyError/JSONDecodeError sulla risposta del modello finivano nell'except ValueError del router (pensato per i nostri errori di configurazione, es. API key mancante) e uscivano come 400 invece di 502. Nuova AIResponseError dedicata in ai_service.py per contenuto malformato o JSON non valido; recipes.py la traduce in 502, toccato solo per questo except. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
"""Router-level test for gitea#36 point 7: recipes.py translates
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ai_service.AIResponseError to 502, not the config-error 400.
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A dedicated file (not test_recipes.py) to avoid colliding with concurrent
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work on the copy-on-write recipe logic in that shared test module.
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"""
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from httpx import AsyncClient
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from sqlalchemy.ext.asyncio import AsyncSession
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from src.backend.models.orm.user import User
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from src.backend.services import ai_service
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from src.backend.tests.conftest import auth_headers, create_test_recipe
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async def test_ai_response_error_is_502(
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client: AsyncClient,
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maker_user: User,
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db_session: AsyncSession,
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monkeypatch,
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):
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recipe = await create_test_recipe(db_session, maker_user.id, code="AI-PARSE-502")
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async def _raise_ai_response_error(_pdf_bytes):
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raise ai_service.AIResponseError("Risposta del modello AI non e' JSON valido: boom")
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monkeypatch.setattr(ai_service, "parse_technical_sheet", _raise_ai_response_error)
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resp = await client.post(
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f"/api/recipes/{recipe.id}/parse-technical-sheet",
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headers=auth_headers(maker_user),
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files={"file": ("sheet.pdf", b"%PDF-1.4 fake", "application/pdf")},
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)
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assert resp.status_code == 502
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