pydantic初探

数据校验的的专业工作请看pydantic

from pydantic import BaseModel, conint, ValidationError


class NumVerify(BaseModel):
    # 限定范围
    expected_number: conint(ge=0, le=100)


def input_number():
    while True:
        number = input(">>请输入:")
        try:
            number_input = NumVerify(expected_number=number)
        except ValidationError as e:
            print(e)
            continue
        else:
            number = number_input.expected_number
            break
    print(">>your number is {}".format(number))


if __name__ == '__main__':
    input_number()

output:　

　　>>请输入:-89
　　1 validation error for NumVerify
　　expected_number
　　ensure this value is greater than or equal to 0 (type=value_error.number.not_ge; limit_value=0)
　　>>请输入:101
　　1 validation error for NumVerify
　　expected_number
　　ensure this value is less than or equal to 100 (type=value_error.number.not_le; limit_value=100)
　　>>请输入:10
　　>>your number is 10

 

还可以定义一个数据模型，继承自BaseModel,内部规定一些字段，对这些字段执行校验，同时校验器还可以使用