from typing import Any, Generic, Type, TypeVar from fastapi.encoders import jsonable_encoder from pydantic import BaseModel from sqlalchemy.orm import Session from app.db.base_class import Base ModelType = TypeVar("ModelType", bound=Base) CreateSchemaType = TypeVar("CreateSchemaType", bound=BaseModel) UpdateSchemaType = TypeVar("UpdateSchemaType", bound=BaseModel) class CRUDBase(Generic[ModelType, CreateSchemaType, UpdateSchemaType]): def __init__(self, model: Type[ModelType]): """ CRUD object with default methods to Create, Read, Update, Delete (CRUD). **Parameters** * `model`: A SQLAlchemy model class * `schema`: A Pydantic model (schema) class """ self.model = model def get(self, db: Session, id: Any) -> ModelType | None: return db.query(self.model).filter(self.model.id == id).first() def get_multi( self, db: Session, *, skip: int = 0, limit: int = 100 ) -> list[ModelType]: return db.query(self.model).offset(skip).limit(limit).all() def create(self, db: Session, *, obj_in: CreateSchemaType) -> ModelType: obj_in_data = jsonable_encoder(obj_in) db_obj = self.model(**obj_in_data) # type: ignore db.add(db_obj) db.commit() db.refresh(db_obj) return db_obj def update( self, db: Session, *, db_obj: ModelType, obj_in: UpdateSchemaType | dict[str, Any] ) -> ModelType: obj_data = jsonable_encoder(db_obj) if isinstance(obj_in, dict): update_data = obj_in else: update_data = obj_in.dict(exclude_unset=True) for field in obj_data: if field in update_data: setattr(db_obj, field, update_data[field]) db.add(db_obj) db.commit() db.refresh(db_obj) return db_obj def remove(self, db: Session, *, id: int) -> ModelType: obj = db.query(self.model).get(id) db.delete(obj) db.commit() return obj