python-fastapi

Structure a FastAPI project by separating API routes, business logic services, and Pydantic models. This approach provides standardized patterns for routing, data validation, and dependency management to ensure production readiness.

Implement reusable dependency injection in FastAPI by applying provided patterns for authentication, database sessions, and request-scoped state. This ensures clean architecture and reusable logic across complex API routing operations.

Test FastAPI services using TestClient and pytest to verify asynchronous I/O operations and structured Pydantic data modeling. This framework ensures consistent error handling and comprehensive test coverage for production environments.

Yes, this FastAPI skill works directly with Pydantic to support structured data modeling. It provides comprehensive frameworks for developing, validating, and testing web services with complex API routing and asynchronous operations.

To build and test FastAPI services, you need dependencies including fastapi, uvicorn, pydantic, httpx, and pytest. These enable rapid development, structured validation, asynchronous I/O operations, and test coverage.

Use FastAPI for microservice development when you need standardized architecture, complex API routing, and asynchronous I/O operations. It instantly generates structured applications with built-in health checks, error handling, and test suites.