[] ENV_NAME: str = "local" POSTGRES_SERVER: str POSTGRES_USER: str POSTGRES_PASSWORD: str POSTGRES_DB: str SQLALCHEMY_DATABASE_URI: PostgresDsn | None = None @field_validator("SQLALCHEMY_DATABASE_URI") @classmethod def 组装数据库连接(cls, v: str | None, values: ValidationInfo) -> ...
4. 其他: @field_validator 对变量的处理 @field_validator 对字段的处理(models.requests.member.py) 5.6 使用 Peewee ORM 完成 异步 CRUD 事务 Peewee ORM 优缺点介绍: Peewee ORM 是一个轻量级的 Python ORM 框架,广泛应用于需要数据库操作的项目中。以下是 Peewee ORM 的主要优缺点: 优点: 轻量级与易用...
是客户端发送给API的数据.响应体是API发送给客户端的数据。 classAddr(BaseModel): province: str city: strclassUser(BaseModel):#name: str = Field(regex="^a") # name参数值必须是a开头name: strage: int= Field(default=0, ge=0, lt=100)#age参数给默认值0,数值区间范围约束为birth: Union[date,...
@validator("user_name") def validateUsername(cls, value: str): """ 自定义验证函数 """ if value.find("傻") > -1: raise ValueError("user_name不能包含敏感词") return value 验证结果: // 当参数user_name传:你好傻 { "detail": [ { "loc": [ "body", "user_name" ], "msg": "us...
[] @field_validator("name") def name_must_alpha(cls, value): assert value.isalpha(), 'name must be alpha' return value @field_validator("sno") def sno_validate(cls, value): assert 2000 < value < 10000, '学号要在2000到10000之间的范围' return value @student_api.post("/") async ...
Field参数设置 field同Path、Query、Body可以设置default、title等信息;具体参看源码; defField(default:Any=Undefined,*,default_factory:Optional[NoArgAnyCallable]=None,alias:str=None,title:str=None,description:str=None,exclude:Union['AbstractSetIntStr','MappingIntStrAny',Any]=None,include:Union['Abstract...
最新版使用field_validator装饰器 #在类型上做类型限制class User(BaseModel):name:str = 'root'#默认是0,输入限制大于0,小于100age: int = Field(default=0, lt=100, gt=0)birth: Optional[date] = None#限制为数组,里面的元素限制为int类型friends: List[int] = []description: Union[str, None] = ...
Field参数设置 field同Path、Query、Body可以设置default、title等信息;具体参看源码; 代码语言:javascript 复制 defField(default:Any=Undefined,*,default_factory:Optional[NoArgAnyCallable]=None,alias:str=None,title:str=None,description:str=None,exclude:Union['AbstractSetIntStr','MappingIntStrAny',Any]=None...
from pydantic import BaseModel, Field class MyModel(BaseModel): id: int = Field(..., alias='ID') name: str = Field(..., alias='NAME') description: str = Field(..., alias='DESCRIPTION') data = { "ID": 1, "NAME": "Test", ...
password: str = Field(..., min_length=8) @validator('username') def username_alphanumeric(cls, v): assert v.isalnum(), 'must be alphanumeric' return v @app.post("/register") async def register_user(user: User): return {"message": "User registered successfully"} 在上面的示例中,我们...