fastapi-development

>

INSTALLATION
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SKILL.md

FastAPI Development

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Create fast, modern Python APIs using FastAPI with async/await support, automatic API documentation, type validation using Pydantic, dependency injection, JWT authentication, and SQLAlchemy ORM integration.

When to Use

  • Building high-performance Python REST APIs
  • Creating async API endpoints
  • Implementing automatic OpenAPI/Swagger documentation
  • Leveraging Python type hints for validation
  • Building microservices with async support
  • Integrating Pydantic for data validation

Quick Start

Minimal working example:

# main.py

from fastapi import FastAPI, HTTPException, status

from fastapi.middleware.cors import CORSMiddleware

from contextlib import asynccontextmanager

import logging

# Setup logging

logging.basicConfig(level=logging.INFO)

logger = logging.getLogger(__name__)

# Create FastAPI instance

app = FastAPI(

    title="API Service",

    description="A modern FastAPI application",

    version="1.0.0",

    docs_url="/api/docs",

    openapi_url="/api/openapi.json"

)

# Add CORS middleware

app.add_middleware(

    CORSMiddleware,

    allow_origins=["http://localhost:3000"],

    allow_credentials=True,

    allow_methods=["*"],

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide

Contents

FastAPI Application Setup

FastAPI Application Setup

Pydantic Models for Validation

Pydantic Models for Validation

Async Database Models and Queries

Async Database Models and Queries

Security and JWT Authentication

Security and JWT Authentication

Service Layer for Business Logic

Service Layer for Business Logic

API Routes with Async Endpoints

API Routes with Async Endpoints

Best Practices

✅ DO

  • Use async/await for I/O operations
  • Leverage Pydantic for validation
  • Use dependency injection for services
  • Implement proper error handling with HTTPException
  • Use type hints for automatic OpenAPI documentation
  • Create service layers for business logic
  • Implement authentication on protected routes
  • Use environment variables for configuration
  • Return appropriate HTTP status codes
  • Document endpoints with docstrings and tags

❌ DON'T

  • Use synchronous database operations
  • Trust user input without validation
  • Store secrets in code
  • Ignore type hints
  • Return database models in responses
  • Implement authentication in route handlers
  • Use mutable default arguments
  • Forget to validate query parameters
  • Expose stack traces in production
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