# -*- coding: utf-8 -*- from typing import Optional from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator from app.core.base_schema import BaseSchema from app.core.validator import DateTimeStr class PositionCreateSchema(BaseModel): """岗位创建模型""" name: str = Field(..., max_length=40, description="岗位名称") order: Optional[int] = Field(default=1, ge=1, description='显示排序') status: bool = Field(default=True, description="是否启用(True:启用 False:禁用)") description: Optional[str] = Field(default=None, max_length=255, description="描述") @field_validator('name') @classmethod def _validate_name(cls, v: str) -> str: v = v.strip() if not v: raise ValueError('岗位名称不能为空') return v @model_validator(mode='before') @classmethod def _normalize(cls, data): if isinstance(data, dict): for key in ('name', 'description'): val = data.get(key) if isinstance(val, str): val = val.strip() if key == 'description' and val == '': val = None data[key] = val # order字符串转为整数 order_val = data.get('order') if isinstance(order_val, str) and order_val.strip().isdigit(): data['order'] = int(order_val.strip()) # status兼容 status_val = data.get('status') if isinstance(status_val, str): lowered = status_val.strip().lower() if lowered in {'true', '1', 'y', 'yes'}: data['status'] = True elif lowered in {'false', '0', 'n', 'no'}: data['status'] = False elif isinstance(status_val, int): data['status'] = bool(status_val) return data class PositionUpdateSchema(PositionCreateSchema): """岗位更新模型""" ... class PositionOutSchema(PositionCreateSchema, BaseSchema): """岗位信息响应模型""" model_config = ConfigDict(from_attributes=True) ...