Performance: Why error handling ensures reliability
Error handling affects user experience by preventing crashes and ensuring smooth responses, impacting interaction responsiveness and visual stability.
Jump into concepts and practice - no test required
from fastapi import FastAPI, HTTPException app = FastAPI() @app.get('/items/{item_id}') async def read_item(item_id: int): try: item = database[item_id] except KeyError: raise HTTPException(status_code=404, detail='Item not found') return item
from fastapi import FastAPI app = FastAPI() @app.get('/items/{item_id}') async def read_item(item_id: int): item = database.get(item_id) # might raise exception return item
| Pattern | DOM Operations | Reflows | Paint Cost | Verdict |
|---|---|---|---|---|
| No error handling | N/A (API backend) | N/A | N/A | [X] Bad |
| Proper error handling with HTTPException | N/A | N/A | N/A | [OK] Good |
raise HTTPException(status_code=..., detail=...) to send errors.HTTPException(status_code=400, detail="Bad request")?HTTPException with status_code=400 sets the response status to 400.from fastapi import FastAPI, HTTPException
app = FastAPI()
@app.get("/items/{item_id}")
async def read_item(item_id: int):
if item_id < 0:
return HTTPException(status_code=400, detail="Invalid ID")
return {"item_id": item_id}HTTPException with 404 status clearly signals the error to clients.