package com.ycl.platform.domain.result.HK;
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import com.ycl.platform.domain.result.BaseResult;
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import com.ycl.platform.domain.vo.DataCenter.BigPicUsefulVO;
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import lombok.Data;
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import org.springframework.beans.BeanUtils;
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import org.springframework.data.mongodb.core.index.TextIndexed;
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import org.springframework.data.mongodb.core.mapping.Document;
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import java.math.BigDecimal;
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import java.math.RoundingMode;
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/**
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* 人脸设备抽检指标监测结果：人脸（人脸卡口信息采集准确率、人脸卡口设备抓拍数据大图可用性）
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*
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* @author gonghl
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*/
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@Data
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@Document(collection = "hk_face_device_sampling")
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public class FaceDeviceSamplingResult extends BaseResult {
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/**
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* 设备名称
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*/
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private String deviceName;
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/**
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* 卡口内码或采集设备内码，dataType为1时表示卡口内码，dataType为2或11时表示采集设备内码
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*/
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private String indexCode;
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/**
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* 设备或卡口国标编码
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*/
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private String externalIndexCode;
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/**
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* IP地址
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*/
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private String networkAddr;
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/**
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* 组织编号
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*/
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private String orgCode;
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/**
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* 组织名称
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*/
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private String orgName;
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// 以下为嵌套对象的字段
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/**
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* 大图可用性相关数据
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*/
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private BigUsefulness bigUseful;
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/**
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* 人脸合格性相关数据
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*/
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private FaceEligibility faceEligibility;
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// 内嵌对象定义
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@Data
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public static class BigUsefulness {
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/**
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* 大图可用性抽检量
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*/
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private Integer sampleCount;
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/**
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* 大图不可用率
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*/
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private Float bigUsefulPercent;
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/**
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* 大图访问异常数据量
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*/
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private Integer bigPicExpCount;
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/**
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* 人脸大小图不一致数据量：小图不在大图中
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*/
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private Integer imgDiffCount;
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/**
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* OSD标注异常数据量
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*/
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private Integer osdExpCount;
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}
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@Data
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public static class FaceEligibility {
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/**
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* 人脸合格性抽检量
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*/
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private Integer sampleCount;
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/**
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* 人脸合格率
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*/
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private Float faceEligPercent;
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/**
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* 人脸不唯一量
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*/
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private Integer unfaceEligCount;
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}
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public static BigPicUsefulVO getPicVO(FaceDeviceSamplingResult result){
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BigPicUsefulVO vo = new BigPicUsefulVO();
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BeanUtils.copyProperties(result,vo);
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vo.setBigPicExpCount(result.getBigUseful().getBigPicExpCount());
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vo.setBigUsefulPercent(result.getBigUseful().getBigUsefulPercent());
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vo.setSampleCount(result.getBigUseful().getSampleCount());
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vo.setOsdExpCount(result.getBigUseful().getOsdExpCount());
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vo.setImgDiffCount(result.getBigUseful().getImgDiffCount());
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return vo;
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}
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public static BigPicUsefulVO getEligeVO(FaceDeviceSamplingResult result){
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BigPicUsefulVO vo = new BigPicUsefulVO();
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BeanUtils.copyProperties(result,vo);
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vo.setSampleCount(result.getFaceEligibility().getSampleCount());
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vo.setUnfaceEligCount(result.getFaceEligibility().getUnfaceEligCount());
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vo.setFaceEligPercent(result.getFaceEligibility().getFaceEligPercent());
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return vo;
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}
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}
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