


How to Customize Error Response for a Specific Route in FastAPI
In FastAPI, you can customize the error response for a specific route by overriding the exception handler for RequestValidationError. Here are a few options:
Option 1 (Simple)
If you don't mind having the Header appear as Optional in the OpenAPI documentation, you can use the following code:
from fastapi import Header, HTTPException @app.post("/") def some_route(some_custom_header: Optional[str] = Header(None)): if not some_custom_header: raise HTTPException(status_code=401, detail="Unauthorized") return {"some-custom-header": some_custom_header}
Option 2 (Custom Exception Handler)
To have the Header appear as required in the OpenAPI documentation, you can override the exception handler:
from fastapi import FastAPI, Request, Header, status from fastapi.exceptions import RequestValidationError from fastapi.responses import JSONResponse from fastapi.encoders import jsonable_encoder app = FastAPI() routes_with_custom_exception = ["/"] @app.exception_handler(RequestValidationError) async def validation_exception_handler(request: Request, exc: RequestValidationError): if request.url.path in routes_with_custom_exception: # Check for the specific Header in the errors for err in exc.errors(): if err['loc'][0] == 'header' and err['loc'][1] == 'some-custom-header': return JSONResponse(content={'401': 'Unauthorized'}, status_code=401) return JSONResponse( status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, content=jsonable_encoder({'detail': exc.errors(), 'body': exc.body}), ) @app.get("/") def some_route(some_custom_header: str = Header(...)): return {'some-custom-header': some_custom_header}
Option 3 (Sub-Application)
You can create a sub-application and mount it to the main app. This will allow you to customize the exception handler only for the routes defined in the sub-application:
from fastapi import FastAPI, Request, Header from fastapi.exceptions import RequestValidationError from fastapi.responses import JSONResponse app = FastAPI() @app.get('/') async def main(): return {'message': 'Hello from main API'} subapi = FastAPI() @subapi.exception_handler(RequestValidationError) async def validation_exception_handler(request: Request, exc: RequestValidationError): # Custom exception handling return JSONResponse(content={'401': 'Unauthorized'}, status_code=401) @subapi.get('/') async def sub_api_route(some_custom_header: str = Header(...)): return {'some-custom-header': some_custom_header} app.mount('/sub', subapi)
Option 4 (Custom APIRouter and Exception Handling)
You can use a custom APIRouter class and handle exceptions inside a try-except block:
from fastapi import FastAPI, APIRouter, Response, Request, Header, HTTPException from fastapi.responses import JSONResponse from fastapi.exceptions import RequestValidationError from fastapi.routing import APIRoute from typing import Callable class ValidationErrorHandlingRoute(APIRoute): def get_route_handler(self) -> Callable: original_route_handler = super().get_route_handler() async def custom_route_handler(request: Request) -> Response: try: return await original_route_handler(request) except RequestValidationError as e: # Custom exception handling raise HTTPException(status_code=401, detail='401 Unauthorized') return custom_route_handler app = FastAPI() router = APIRouter(route_class=ValidationErrorHandlingRoute) @app.get('/') async def main(): return {'message': 'Hello from main API'} @router.get('/custom') async def custom_route(some_custom_header: str = Header(...)): return {'some-custom-header': some_custom_header} app.include_router(router)
Choose the option that best suits your requirements.
The above is the detailed content of How to Customize Error Responses for Specific Routes in FastAPI?. For more information, please follow other related articles on the PHP Chinese website!

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Dreamweaver CS6
Visual web development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

WebStorm Mac version
Useful JavaScript development tools
