Ojasa Mirai

Ojasa Mirai

FastAPI

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Learning Level

🟢 Beginner🔵 Advanced
🚀 Error Basics📚 HTTP Exceptions📚 Custom Exceptions📚 Error Responses📚 Exception Handlers📚 Validation Errors📚 Error Logging📚 Error Best Practices
Fastapi/Error Handling/Error Handling Overview

Error Basics

Learn essential concepts of error basics in FastAPI.

What You'll Learn

This section covers error handling, including:

  • HTTPException for API errors
  • Custom exception classes
  • Exception handlers for centralized error processing
  • Validation error responses
  • Error logging and monitoring
  • Best practices for error design

Core Concepts

Proper error handling:

  • Returns appropriate HTTP status codes
  • Provides clear, actionable error messages
  • Logs errors for debugging
  • Never exposes sensitive details
  • Handles edge cases gracefully

Basic HTTPException Example

from fastapi import FastAPI, HTTPException
from fastapi import status

app = FastAPI()

@app.get("/items/{item_id}")
async def get_item(item_id: int):
    if item_id < 1:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail="Item ID must be positive"
        )
    if item_id > 1000:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail="Item not found"
        )
    return {"item_id": item_id}

Exception Handler Example

from fastapi.responses import JSONResponse

@app.exception_handler(ValueError)
async def value_error_handler(request, exc):
    return JSONResponse(
        status_code=400,
        content={"error": "Invalid value", "detail": str(exc)}
    )

Real-World Usage

Error handling is critical for:

  • **API reliability**: Gracefully handle failures
  • **Client feedback**: Clear messages for debugging
  • **Monitoring**: Track error patterns
  • **Security**: Don't expose internal details
  • **Compliance**: Meet error logging requirements

🔑 Key Takeaways

  • ✅ Understand the purpose of error basics
  • ✅ Know when to apply this pattern
  • ✅ Follow best practices consistently
  • ✅ Test thoroughly in production scenarios

Next step: Explore the advanced section for production patterns and optimization techniques.


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