41 lines
2.1 KiB
Python
41 lines
2.1 KiB
Python
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from datetime import datetime
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from pydantic import BaseModel, Field
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from typing import List, Optional
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# ------------------------------
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# 请求模型（前端传参校验）- 保留update的eigenvalue（如需更新特征值）
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# ------------------------------
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class FaceCreateRequest(BaseModel):
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"""创建人脸记录请求模型（无需ID、由数据库自增）"""
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name: Optional[str] = Field(None, max_length=255, description="名称（可选、最长255字符）")
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class FaceUpdateRequest(BaseModel):
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"""更新人脸记录请求模型 - 保留eigenvalue（如需更新特征值、不影响返回）"""
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name: Optional[str] = Field(None, max_length=255, description="名称（可选）")
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eigenvalue: Optional[str] = Field(None, description="特征值（可选、文件处理后可更新）") # 保留更新能力
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address: Optional[str] = Field(None, description="图片完整路径（可选、更新图片时使用）")
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# ------------------------------
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# 响应模型（后端返回数据）- 核心修改：删除eigenvalue字段
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# ------------------------------
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class FaceResponse(BaseModel):
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"""人脸记录响应模型（仅返回需要的字段、移除eigenvalue）"""
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id: int = Field(..., description="主键ID（数据库自增）")
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name: Optional[str] = Field(None, description="名称")
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address: Optional[str] = Field(None, description="人脸图片完整保存路径（数据库新增字段）") # 仅保留address
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created_at: datetime = Field(..., description="记录创建时间（数据库自动生成）")
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updated_at: datetime = Field(..., description="记录更新时间（数据库自动生成）")
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# 关键配置：支持从数据库查询结果（字典）直接转换
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model_config = {"from_attributes": True}
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class FaceListResponse(BaseModel):
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"""人脸列表分页响应模型（结构不变、内部FaceResponse已移除eigenvalue）"""
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total: int = Field(..., description="筛选后的总记录数")
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faces: List[FaceResponse] = Field(..., description="当前页的人脸记录列表")
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model_config = {"from_attributes": True}
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