fastapi-ddd

Structure a FastAPI project using Domain-Driven Design by organizing API routes, domain services, aggregates, and repositories into a clean architecture. This blueprint aligns modules to reduce coupling and improve testability across typical CRUD-based projects.

The best way to set up a FastAPI app factory is using a lifespan context manager integrated with dependency injection. This approach manages application lifecycle events while wiring domain aggregates and repositories into API endpoints.

Yes, you can use Pydantic v2 schemas with async SQLAlchemy models in a clean architecture. Schemas handle validation and interface directly with async database models to separate domain logic from data persistence.

Configure Alembic migrations for an async SQLAlchemy FastAPI project by following a structured workflow that coordinates schema changes with async database models. This ensures domain aggregates remain synchronized with database state.

Yes, this FastAPI DDD skill includes patterns for async pytest testing. It provides a testing structure that validates domain services and repositories within the clean architecture blueprint, ensuring API modules function correctly.

Use aggregates and repositories in a FastAPI application when reducing coupling and improving testability across domain logic is required. They encapsulate business rules and data access, separating them from API route definitions.