fastapi-core-schemas

Standardize FastAPI request validation and response serialization by inheriting from predefined base schemas like BaseCreateSchema and BaseResponseSchema. These base classes configure ORM mode, aliasing, whitespace trimming, and validation defaults to ensure uniform input and output shapes across your REST endpoints.

Structure Pydantic v2 schemas for FastAPI CRUD workflows by extending the provided BaseCreateSchema, BaseUpdateSchema, and BaseResponseSchema classes. This approach streamlines create, read, update, and delete operations with consistent API contracts and built-in validation defaults.

Yes, you can use these base schemas with ORM-integrated models in FastAPI. The BaseResponseSchema is specifically configured with ORM mode enabled, allowing seamless serialization of SQLAlchemy or other ORM model instances directly into JSON responses.

No, you do not need to manually configure aliasing and whitespace trimming for every Pydantic schema. The base schemas automatically apply these validation defaults, ensuring consistent data cleaning and field aliasing across all resources that inherit from them.

Define custom resource schemas for domain-specific FastAPI endpoints by inheriting from the base classes. Create classes like ItemCreate(BaseCreateSchema) or ItemResponse(BaseResponseSchema) to fit your domain models while maintaining standardized validation and serialization behavior.

The limitation of using standardized base schemas for FastAPI API contracts is that highly specialized validation rules or unique serialization formats may require overriding the base defaults. Complex domain logic beyond standard CRUD workflows might need custom schema configurations outside the provided base implementations.