Files
GenExam-IA/backend/app/core/errors.py
T
2026-05-13 13:43:32 +02:00

57 lines
2.1 KiB
Python

from fastapi import FastAPI, Request
from fastapi.exceptions import RequestValidationError
from fastapi.responses import ORJSONResponse
from starlette.exceptions import HTTPException as StarletteHTTPException
class AppError(Exception):
def __init__(self, message: str, status_code: int = 400, code: str = "app_error") -> None:
self.message = message
self.status_code = status_code
self.code = code
class NotFoundError(AppError):
def __init__(self, message: str = "Resource not found") -> None:
super().__init__(message=message, status_code=404, code="not_found")
class LLMUnavailableError(AppError):
def __init__(self, message: str = "LLM service is unavailable") -> None:
super().__init__(message=message, status_code=503, code="llm_unavailable")
class ParseError(AppError):
def __init__(self, message: str = "Unable to parse AI output") -> None:
super().__init__(message=message, status_code=422, code="parse_error")
def error_payload(code: str, message: str, details: object | None = None) -> dict[str, object]:
payload: dict[str, object] = {"error": {"code": code, "message": message}}
if details is not None:
payload["error"]["details"] = details
return payload
def register_exception_handlers(app: FastAPI) -> None:
@app.exception_handler(AppError)
async def app_error_handler(_: Request, exc: AppError) -> ORJSONResponse:
return ORJSONResponse(
status_code=exc.status_code,
content=error_payload(exc.code, exc.message),
)
@app.exception_handler(StarletteHTTPException)
async def http_error_handler(_: Request, exc: StarletteHTTPException) -> ORJSONResponse:
return ORJSONResponse(
status_code=exc.status_code,
content=error_payload("http_error", str(exc.detail)),
)
@app.exception_handler(RequestValidationError)
async def validation_error_handler(_: Request, exc: RequestValidationError) -> ORJSONResponse:
return ORJSONResponse(
status_code=422,
content=error_payload("validation_error", "Invalid request payload", exc.errors()),
)