from pydantic import BaseModel, create_model DynamicFoobarModel = create_model('DynamicFoobarModel', foo=(str, ...), bar=123) 四、常用类型 None,type(None)或Literal[None]只允许None值 bool 布尔类型 int 整数类型 float 浮点数类型 str 字符串类型 bytes 字节类型 list 允许list,tuple,set,frozenset...
from enum import Enum from langchain.pydantic_v1 import BaseModel, create_model class SpecialtyEnumStatic (str, Enum): psychiatry = "SPECIALTY:Psychiatry" sports_medicine_internal_medicine = "SPECIALTY:Sports Medicine (Internal Medicine)" class ProviderSearchInputStatic(BaseModel): specialty: Specialty...
# 需要导入模块: import pydantic [as 别名]# 或者: from pydantic importcreate_model[as 别名]deftest_repeat_base_usage():classModel(BaseModel):a: strassertModel.__fields__.keys() == {'a'} model =create_model('FooModel', b=1, __base__=Model)assertModel.__fields__.keys() == {'a...
则可以直接从typing中导入Self from pydantic import BaseModel, ValidationError, EmailStr, field_validato...
from pydantic import BaseModel class DBModel(BaseModel): id: str field1: str field2: int date: datetime = datetime.utcnow() 我只想在我的 POST 路线数据模型中包含 field1 和 field2。这是我所做的(在 Pydantic 版本 2 中): from pydantic import create_model EXCLUDE_FIELDS = ['date', ...
Pydantic的泛型也正确地与mypy集成,因此如果您不使用 GenericModel 声明类型,就可以得到mypy所提供的所有类型检查。 注意 在内部,pydantic在运行时使用 create_model 生成(缓存的)具体 BaseModel,因此使用GenericModel基本上不会带来任何开销。 为了在不替换 TypeVar 实例的情况下继承 GenericModel,类也必须继承 type.Gene...
# import required modules from enum import Enum from typing import Optional from pydantic import BaseModel, PositiveInt, validator, root_validator, constr # custom class used as choices for state # pydantic choices using the built-in Enum of python # which reduces the need for additional ...
# import required modules fromenumimportEnum fromtypingimportOptional frompydanticimportBaseModel,PositiveInt,validator,root_validator,constr # custom class used as choices for state # pydantic choices using the built-in Enum of python # which reduces the need for additional packages ...
set_factory_default_and_kwarg, set_attributes, set_attributes_and_values, set_attributes_and_values_from_kwargs, set_attributes_from_kwargs, set_values, set_values_from_kwargs, BaseSetModel, BaseTypedSetModel, set_required, SetField, TypedSetField, set_attribute, AttributeError, typecast, Pyd...
对于pydantic模型的动态创建，可以使用create_model。如下所示：