fastapi-templates

Structure a production-ready FastAPI project by organizing code into routers, dependencies, core config, models, schemas, services, and repositories. This layered backend architecture uses async database sessions and dependency injection to keep data access and business logic cleanly separated from routing.

The repository pattern in FastAPI isolates data access logic into dedicated repository classes, separating it from services and routes. Use it for maintainable Python web services to keep database operations centralized, making complex CRUD patterns easier to test and extend.

Set up JWT authentication in FastAPI by configuring auth dependencies within the core config and applying them to routers. This approach secures endpoints using dependency injection, ensuring maintainable authentication workflows and reliable integration tests for real-world backend APIs.

Yes, this FastAPI template supports async patterns for microservices by applying async routes, middleware, and lifespan handling. This high-performance async architecture is designed for new REST APIs, microservices, and authentication systems that require reliable concurrent data processing.

The best way to add a service layer to a FastAPI REST API is using a repository-service separation pattern. This design isolates business logic into services while repositories handle database operations, creating a maintainable structure that is easy to extend and test.

Organize FastAPI routing and dependencies by structuring the application into dedicated modules for routers, dependencies, and core config. This creates maintainable Python web services by applying dependency injection and structured routing to prevent scattered logic across routes.