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 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...
'msg': 'Input should be a valid integer, unable to parse string as an integer', 'input': 'not an int', 'url': 'https://errors.pydantic.dev/2/v/int_parsing', }, { 'type': 'missing', 'loc': ('signup_ts',), 'msg': 'Field required', 'input': {'id': 'not an int',...
将得到报错: Validationerror: [{"type":"value_error","loc":["name"],"msg":"Value error, must be startswith 小","input":"大卤蛋","ctx":{
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(...
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...
"msg": "value is not a valid float", "type": "type_error.float" } ] """ json()方法默认设置了 indent=2,但是我在这里和下面对JSON 进行了调整,使其更加简洁。 3.1.4.1 定制错误 在您的自定义数据类型或验证器中,您应该使用 ValueError、TypeError 或 AssertionError 来引发错误。
Input should be a valid datetime, invalid datetime separator, expected `T`, `t`, `_` or space [type=datetime_parsing, input_value='2024-04-01', input_type=str] """ ``` If you want to validate serialized data in a format other than JSON, you should load the data into a dict yo...