Input should be a valid string [type=string_type, input_value=['incorrect', 'string', 'list'], input_type=list] For further information visit https://errors.pydantic.dev/2.7/v/string_type aka Field required [type=missing, input_value={'name': 'dragon', 'descr...'list'],'country':...
Input should be a valid string [type=string_type, input_value=1, input_type=int] For further information visit https://errors.pydantic.dev/2.5/v/string_type 计算属性 字段可能派生自其他字段,比如年龄一般会根据生日和当前日期动态计算得出、面积通过长和宽动态计算等。 以下我们动态增加link字段为例: ...
Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='b', input_type=str] For further information visit https://errors.pydantic.dev/2.9/v/int_parsing 1 Input should be a valid integer, unable to parse string as an integer [type=int_pars...
Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='abc', input_type=str] For further information visit https://errors.pydantic.dev/2.9/v/int_parsing age Input should be greater than 0 [type=greater_than, input_value=-5, input_type=in...
将得到报错: Validationerror: [{"type":"value_error","loc":["name"],"msg":"Value error, must be startswith 小","input":"大卤蛋","ctx"
当使用Pydantic、FastAPI和Swagger UI发送多个电子邮件地址时，“值不是有效的电子邮件地址”问题不在于您...
Model(x=1, y='a') except ValidationError as exc: print(exc) """ 1 validation error for Model y Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='a', input_type=str] """ m = Model(x=1, y='2') assert m.x == 1 assert...
问Pydantic模型:在调用.dict()时将UUID转换为字符串EN它接受与UUID格式匹配的字符串，并通过uuid.UUID(...
40 40 Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='wrong', input_type=str] 41 41 """ pydantic/version.py +1-1 Original file line numberDiff line numberDiff line change @@ -68,7 +68,7 @@ def version_info() -> st...
input, each validator will receive as an input # the value returned from the previous validator yield cls.validate @classmethod def __modify_schema__(cls, field_schema): # __modify_schema__ should mutate the dict it receives in place, # the returned value will be ignored field_schema....