FastAPI Pro
Build Production-Ready FastAPI Applications
Building high-performance async APIs requires mastering complex patterns in FastAPI, SQLAlchemy, and Pydantic. This skill provides expert guidance on modern Python async development, from API design to deployment.
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اختبرها
استخدام "FastAPI Pro". Create an async FastAPI endpoint that queries users from database with pagination
النتيجة المتوقعة:
- Async endpoint with offset/limit pagination parameters
- Pydantic response model with user list and total count
- SQLAlchemy async query with proper await syntax
استخدام "FastAPI Pro". Add rate limiting to prevent API abuse
النتيجة المتوقعة:
- Redis-based rate limiter using sliding window algorithm
- Dependency injection for per-endpoint rate limits
- Custom exception handler returning 429 Too Many Requests
التدقيق الأمني
آمنThis is a prompt-only skill containing only SKILL.md configuration file. Static analysis scanned 0 files with 0 lines of executable code and detected no security patterns. The skill provides FastAPI development guidance through natural language prompts without any code execution capabilities. No malicious patterns, external network calls, or dangerous code execution vectors were found.
درجة الجودة
ماذا يمكنك بناءه
Backend API Development
Create production-ready REST APIs with proper validation, authentication, and error handling using FastAPI best practices.
Async Performance Optimization
Optimize existing synchronous APIs with async patterns, connection pooling, and caching strategies for high-concurrency workloads.
Real-Time Feature Implementation
Build WebSocket-based features like chat systems, live notifications, and streaming endpoints with proper async handling.
جرّب هذه الموجهات
Create a FastAPI endpoint with GET and POST methods for a user resource. Include Pydantic models for request validation and response serialization with proper type hints.
Set up SQLAlchemy 2.0 async session management with asyncpg. Include connection pooling configuration, repository pattern implementation, and Alembic migration setup.
Implement complete JWT authentication with access and refresh tokens. Include OAuth2 password flow, token refresh endpoint, dependency injection for protected routes, and role-based permissions.
Design a FastAPI microservices architecture with API gateway pattern. Include inter-service communication with httpx, distributed tracing with OpenTelemetry, and Redis-based caching strategy.
أفضل الممارسات
- Use dependency injection for database sessions, authentication, and shared services to enable testing and loose coupling
- Define Pydantic models for all request/response schemas to ensure type safety and automatic OpenAPI documentation
- Implement structured logging with correlation IDs for tracing requests across async operations
تجنب
- Avoid mixing synchronous database calls in async endpoints which blocks the event loop and degrades performance
- Do not store sensitive data like database URLs or API keys directly in code. Use environment variables with Pydantic Settings
- Never skip input validation or rely solely on client-side checks. Always validate with Pydantic on the server