apply() # github model git_model = OpenAIModel( 'gpt-4o', api_key='XXXXXXX', base_url='https://models.inference.ai.azure.com', ) agent = Agent( git_model, deps_type=str, system_prompt=( "你是一个骰子游戏,你应该掷骰子并查看你得到的结果是否与用户的猜测匹配。如果匹配,告诉他们他们是...
:param default_factory: callable that will be called when a default value is needed for this field If both `default` and `default_factory` are set, an error is raised. ❌ 来看看错误的例子,即通过default获取当前时间: from datetime import datetime, timezone from pydantic import BaseModel, Fi...
from pydantic import BaseModel, Field from typing import Union class MyModel(BaseModel): # 原始注解,不允许 None 值 # age: int = Field(default=None) # 这会引发警告 # 修正后的注解,允许 None 值 age: Union[int, None] = Field(default=None) # 创建模型实例 instance = MyModel(age=None) ...
String should have at most 15 characters [type=string_too_long, input_value='Jack VeryLongName1234567890', input_type=str] For further information visit https://errors.pydantic.dev/2.9/v/string_too_long 模型检查 检查类的构造数据 >>> import pydantic >>> >>> class Person(pydantic.BaseModel)...
It looks like a bug. It seems like the default value with this type is not taken into account in the metaclass causingModel.__fields__to not have thetkey, which causes this error. In the meantime you can useFieldto force it:t: Union[Type[T], Sequence[Type[T]]] = Field(T) ...
其中,field_name是字段的名称,field_type是字段的类型,Optional表示字段是可选的,default_value是字段的默认值。 例如,我们可以创建一个包含字符串和整数字段的动态模型: 代码语言:txt 复制 class DynamicModel(BaseModel): name: Optional[str] = None age: Optional[int] = None 使用动态模型类创建实例,并传...
class Product(BaseModel): name: str price: float quantity: int @validator("price") def price_must_be_positive(cls, value): if value <= 0: raise ValueError("价格必须为正数") return value @validator("quantity") def quantity_must_be_non_negative(cls, value): ...
class UserModel(BaseModel): id: int name: str email: str 在这个例子中,我们定义了一个名为UserModel的类,它继承自BaseModel。然后,我们使用类型注解来指定每个属性的类型。这样,Pydantic将在运行时检查每个属性的类型是否符合要求。 验证数据一旦你定义了数据模型,你可以使用Pydantic的validate方法来验证数据。以下...
raise ValidationError("传入的日期必须是时间戳") try: res = datetime.datetime.fromtimestamp(value) except ValueError: raise ValidationError("时间戳似乎无效") return res class DateModel(BaseModel): dob: Annotated[Annotated[datetime.datetime, BeforeValidator(stamp2date)] | None, Field(default=None)]...
在pydantic中定义对象的主要方法是通过模型BaseModel。 1.1基本模型 frompydanticimportBaseModelclassUser(BaseModel):id:int# 整形、必须name='Jane Doe'# 通过默认值推断类型为字符串,不是必须,因为提供有默认值classConfig:max_anystr_length=10error_msg_templates={'value_error.any_str.max_length':'max_leng...