# CRUD Generic async CRUD operations for SQLAlchemy models with search, pagination, and many-to-many support. This module has features that are only compatible with Postgres. !!! info This module has been coded and tested to be compatible with PostgreSQL only. ## Overview The `crud` module provides [`AsyncCrud`](../reference/crud.md#fastapi_toolsets.crud.factory.AsyncCrud), an abstract base class with a full suite of async database operations, and [`CrudFactory`](../reference/crud.md#fastapi_toolsets.crud.factory.CrudFactory), a convenience function to instantiate it for a given model. ## Creating a CRUD class ```python from fastapi_toolsets.crud import CrudFactory from myapp.models import User UserCrud = CrudFactory(model=User) ``` [`CrudFactory`](../reference/crud.md#fastapi_toolsets.crud.factory.CrudFactory) dynamically creates a class named `AsyncUserCrud` with `User` as its model. ## Basic operations ```python # Create user = await UserCrud.create(session=session, obj=UserCreateSchema(username="alice")) # Get one (raises NotFoundError if not found) user = await UserCrud.get(session=session, filters=[User.id == user_id]) # Get first or None user = await UserCrud.first(session=session, filters=[User.email == email]) # Get multiple users = await UserCrud.get_multi(session=session, filters=[User.is_active == True]) # Update user = await UserCrud.update(session=session, obj=UserUpdateSchema(username="bob"), filters=[User.id == user_id]) # Delete await UserCrud.delete(session=session, filters=[User.id == user_id]) # Count / exists count = await UserCrud.count(session=session, filters=[User.is_active == True]) exists = await UserCrud.exists(session=session, filters=[User.email == email]) ``` ## Pagination ```python @router.get( "", response_model=PaginatedResponse[User], ) async def get_users( session: SessionDep, items_per_page: int = 50, page: int = 1, ): return await crud.UserCrud.paginate( session=session, items_per_page=items_per_page, page=page, ) ``` The [`paginate`](../reference/crud.md#fastapi_toolsets.crud.factory.AsyncCrud.paginate) function will return a [`PaginatedResponse`](../reference/schemas.md#fastapi_toolsets.schemas.PaginatedResponse). ## Search Declare searchable fields on the CRUD class. Relationship traversal is supported via tuples: ```python PostCrud = CrudFactory( model=Post, searchable_fields=[ Post.title, Post.content, (Post.author, User.username), # search across relationship ], ) ``` This allow to do a search with the [`paginate`](../reference/crud.md#fastapi_toolsets.crud.factory.AsyncCrud.paginate) function: ```python @router.get( "", response_model=PaginatedResponse[User], ) async def get_users( session: SessionDep, items_per_page: int = 50, page: int = 1, search: str | None = None, ): return await crud.UserCrud.paginate( session=session, items_per_page=items_per_page, page=page, search=search, ) ``` ## Relationship loading !!! info "Added in v1.1" By default, SQLAlchemy relationships are not loaded unless explicitly requested. Instead of using `lazy="selectin"` on model definitions (which is implicit and applies globally), define a `default_load_options` on the CRUD class to control loading strategy explicitly. !!! warning Avoid using `lazy="selectin"` on model relationships. It fires silently on every query, cannot be disabled per-call, and can cause unexpected cascading loads through deep relationship chains. Use `default_load_options` instead. ```python from sqlalchemy.orm import selectinload ArticleCrud = CrudFactory( model=Article, default_load_options=[ selectinload(Article.category), selectinload(Article.tags), ], ) ``` `default_load_options` applies automatically to all read operations (`get`, `first`, `get_multi`, `paginate`). When `load_options` is passed at call-site, it **fully replaces** `default_load_options` for that query — giving you precise per-call control: ```python # Only loads category, tags are not loaded article = await ArticleCrud.get( session=session, filters=[Article.id == article_id], load_options=[selectinload(Article.category)], ) # Loads nothing — useful for write-then-refresh flows or lightweight checks articles = await ArticleCrud.get_multi(session=session, load_options=[]) ``` ## Many-to-many relationships Use `m2m_fields` to map schema fields containing lists of IDs to SQLAlchemy relationships. The CRUD class resolves and validates all IDs before persisting: ```python PostCrud = CrudFactory( model=Post, m2m_fields={"tag_ids": Post.tags}, ) post = await PostCrud.create(session=session, obj=PostCreateSchema(title="Hello", tag_ids=[1, 2, 3])) ``` ## Upsert Atomic `INSERT ... ON CONFLICT DO UPDATE` using PostgreSQL: ```python await UserCrud.upsert( session=session, obj=UserCreateSchema(email="alice@example.com", username="alice"), index_elements=[User.email], set_={"username"}, ) ``` ## `schema` — typed response serialization !!! info "Added in `v1.1`" Pass a Pydantic schema class to `create`, `get`, `update`, or `paginate` to serialize the result directly into that schema and wrap it in a [`Response[schema]`](../reference/schemas.md#fastapi_toolsets.schemas.Response) or [`PaginatedResponse[schema]`](../reference/schemas.md#fastapi_toolsets.schemas.PaginatedResponse): ```python class UserRead(PydanticBase): id: UUID username: str @router.get( "/{uuid}", responses=generate_error_responses(NotFoundError), ) async def get_user(session: SessionDep, uuid: UUID) -> Response[UserRead]: return await crud.UserCrud.get( session=session, filters=[User.id == uuid], schema=UserRead, ) @router.get("") async def list_users(session: SessionDep, page: int = 1) -> PaginatedResponse[UserRead]: return await crud.UserCrud.paginate( session=session, page=page, schema=UserRead, ) ``` The schema must have `from_attributes=True` (or inherit from [`PydanticBase`](../reference/schemas.md#fastapi_toolsets.schemas.PydanticBase)) so it can be built from SQLAlchemy model instances. !!! warning "Deprecated: `as_response`" The `as_response=True` parameter is **deprecated** and will be removed in **v2.0**. Replace it with `schema=YourSchema`. --- [:material-api: API Reference](../reference/crud.md)