from app.core.base_schema import CommonSchema """人员花名册 —— Pydantic 校验/序列化模型。""" from datetime import datetime from pydantic import BaseModel, ConfigDict, Field class PersonnelBaseSchema(BaseModel): model_config = ConfigDict(from_attributes=True) name: str = Field(..., description="姓名") gender: str | None = Field(default=None, description="性别") role: str | None = Field(default=None, description="角色") phone: str | None = Field(default=None, description="联系电话") organization: str | None = Field(default=None, description="所属单位") join_date: str | None = Field(default=None, description="入职日期") remark: str | None = Field(default=None, description="备注") class PersonnelCreateSchema(PersonnelBaseSchema): pass class PersonnelUpdateSchema(PersonnelBaseSchema): name: str | None = Field(default=None, description="姓名") gender: str | None = Field(default=None, description="性别") role: str | None = Field(default=None, description="角色") phone: str | None = Field(default=None, description="联系电话") organization: str | None = Field(default=None, description="所属单位") join_date: str | None = Field(default=None, description="入职日期") remark: str | None = Field(default=None, description="备注") class PersonnelOutSchema(PersonnelBaseSchema): id: int uuid: str name: str | None = None gender: str | None = None role: str | None = None phone: str | None = None organization: str | None = None join_date: str | None = None remark: str | None = None created_time: datetime | None = None updated_time: datetime | None = None created_by: CommonSchema | None = None updated_by: CommonSchema | None = None class PersonnelQueryParam(BaseModel): name: str | None = Field(default=None, description="姓名", json_schema_extra={"q": "like"}) gender: str | None = Field(default=None, description="性别", json_schema_extra={"q": "eq"}) role: str | None = Field(default=None, description="角色", json_schema_extra={"q": "eq"}) phone: str | None = Field(default=None, description="联系电话", json_schema_extra={"q": "like"}) organization: str | None = Field(default=None, description="所属单位", json_schema_extra={"q": "like"})