从FastAPI中发布的Pydantic模型更新SQLAlchemy ORM现有模型的步骤如下:
from fastapi import FastAPI
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
app = FastAPI()
SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db" # 替换为你的数据库连接
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
class ItemBase(BaseModel):
name: str
description: str
class ItemCreate(ItemBase):
pass
class Item(ItemBase):
id: int
class Config:
orm_mode = True
class DBItem(Base):
__tablename__ = "items"
id = Column(Integer, primary_key=True, index=True)
name = Column(String, index=True)
description = Column(String)
Base.metadata.create_all(bind=engine)
@app.post("/items/", response_model=Item)
def create_item(item: ItemCreate, db: Session = Depends(get_db)):
db_item = DBItem(**item.dict())
db.add(db_item)
db.commit()
db.refresh(db_item)
return db_item
@app.put("/items/{item_id}", response_model=Item)
def update_item(item_id: int, item: ItemCreate, db: Session = Depends(get_db)):
db_item = db.query(DBItem).filter(DBItem.id == item_id).first()
db_item.name = item.name
db_item.description = item.description
db.commit()
db.refresh(db_item)
return db_item
以上代码示例了创建和更新一个名为"items"的数据库表,通过FastAPI接收和验证请求数据,并使用Pydantic模型来处理和返回数据。使用SQLAlchemy ORM操作数据库,将Pydantic模型的数据更新到SQLAlchemy模型中,并返回更新后的模型。
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