pydantic 对于空字段的优化处理

example.py

from pydantic import BaseModel, validator


class MyBaseModel(BaseModel):
    @validator('*', pre=True)
    def fill_values(cls, v, **kwargs):
        # 对于一些字段，如果没有加 Optional 则会无法传递 null 值，就算设置了默认值也会校验失败
        # 此校验函数用来处理这部分字段，如果传递的值为假，且设置了默认值，则返回默认值
        # 注意，如果业务需求必须接收假值（比如空字符串），请不要使用此基类
        field_name = kwargs['field'].name
        field = cls.__fields__[field_name]
        if not field.required and not v:
            return field.default
        return v

      
from pydantic import BaseModel, root_validator, validator, Field
from typing import Dict, Any, List, Optional

class MyIP(BaseModel):
    port_type: str = 'tcp'
    fingerprint: Optional[List[str]] = []
    class_name: str = Field(default='', alias='class')
      
    class Config:
        allow_population_by_field_name = True
MyIP.parse_obj({"port_type": '', "fingerprint": [1,2], "class": '123'})

# MyIP(port_type='tcp', fingerprint=['1', '2'], class_name='123')