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FastAPI Custom Responses

Project description

FastAPI Custom Responses

Provides normalized response objects and error handling for FastAPI applications. All errors — validation, HTTP, and unhandled exceptions — are returned in a consistent { "success": false, "error": "..." } format with human-readable messages.

Installation

pip install fastapi-custom-responses

Quick Start

from http import HTTPStatus
from fastapi_custom_responses import EXCEPTION_HANDLERS, ErrorResponse, ErrorResponseModel, Response, SuccessResponse
from fastapi import APIRouter, FastAPI, Request

router = APIRouter()

app = FastAPI(
    title="API",
    description="My API",
    version="1.0.0",
    exception_handlers=EXCEPTION_HANDLERS,
)

class Data(Response):
    example: str

@router.get(
    "/",
    response_model=Response[Data],
    responses={
        400: {"model": ErrorResponseModel, "description": "Bad request"},
        500: {"model": ErrorResponseModel, "description": "Internal server error"},
    },
)
async def index(_: Request) -> Response[Data]:
    """Index route."""

    return Response(
        success=True,
        data=Data(example="hello"),
    )

@router.get("/return-error")
async def error_route(_: Request) -> Response:
    """Error route."""

    raise ErrorResponse(error="Your request is invalid.", status_code=HTTPStatus.BAD_REQUEST)

Note: When using OpenAPI generators, use SuccessResponse instead of Response if your endpoint has no data to return.

Error Normalization

Passing EXCEPTION_HANDLERS to your FastAPI app registers handlers that normalize all errors into a consistent JSON shape:

{
  "success": false,
  "error": "Human-readable error message"
}

Handled Exception Types

Exception Status Code Behavior
ErrorResponse Custom (default 400) Uses the provided error message directly
RequestValidationError 400 Pydantic validation errors are converted to human-readable messages (see below)
HTTPException From exception Uses the exception detail as the error message
ValueError 400 Uses str(exc) as the error message
Exception (catch-all) 500 Returns a generic "An unexpected error occurred" message

Raising Errors

Raise ErrorResponse with a message and status code:

from http import HTTPStatus
from fastapi_custom_responses import ErrorResponse

raise ErrorResponse(error="Resource not found", status_code=HTTPStatus.NOT_FOUND)

You can also create one from a status code alone, which maps to a default message:

raise ErrorResponse.from_status_code(HTTPStatus.FORBIDDEN)
# → { "success": false, "error": "You don't have permission to perform this action" }

Default messages for common status codes:

Status Code Default Message
401 "Authentication required"
403 "You don't have permission to perform this action"
404 "Resource not found"
400 "Invalid request"
500 "An unexpected error occurred"

Validation Error Normalization

When a request fails Pydantic validation, FastAPI normally returns a verbose JSON array of raw Pydantic errors. With EXCEPTION_HANDLERS, these are automatically converted into concise, human-readable messages.

Before (default FastAPI):

{
  "detail": [
    {
      "type": "missing",
      "loc": ["body", "email"],
      "msg": "Field required",
      "input": {}
    }
  ]
}

After (with EXCEPTION_HANDLERS):

{
  "success": false,
  "error": "Field 'email' is required"
}

When multiple fields fail validation, messages are joined with periods:

{
  "success": false,
  "error": "Field 'email' is required. Field 'age' must be a valid integer"
}

Supported Pydantic error types and their human-readable formats:

Error Type Example Message
missing Field 'name' is required
string_type Field 'name' must be a string
int_type / int_parsing Field 'age' must be a valid integer
float_type / float_parsing Field 'price' must be a valid number
bool_type / bool_parsing Field 'active' must be a boolean
enum Field 'status' must be one of: active, inactive
uuid_type / uuid_parsing Field 'id' must be a valid UUID
string_too_short Field 'name' must be at least 3 characters
string_too_long Field 'name' must be at most 50 characters
too_short / too_long Field 'items' must have at least 1 item
greater_than / less_than Field 'age' must be greater than 0
greater_than_equal / less_than_equal Field 'age' must be at least 18
value_error Invalid email format (uses the validator message directly)
json_invalid Invalid JSON in request body

Any unrecognized error types fall back to the Pydantic error message prefixed with the field name.

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