package com.ycl.platform.domain.result.HK;

import com.ycl.platform.domain.result.BaseResult;
import com.ycl.platform.domain.vo.DataCenter.BigPicUsefulVO;
import lombok.Data;
import org.springframework.beans.BeanUtils;
import org.springframework.data.mongodb.core.index.TextIndexed;
import org.springframework.data.mongodb.core.mapping.Document;

import java.math.BigDecimal;
import java.math.RoundingMode;

/**
 * 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）
 *
 * @author gonghl
 */
@Data
@Document(collection = "hk_face_device_sampling")
public class FaceDeviceSamplingResult extends BaseResult {

    /**
     * 设备名称
     */
    private String deviceName;

    /**
     * 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
     */
    private String indexCode;

    /**
     * 设备或卡口国标编码
     */
    private String externalIndexCode;

    /**
     * IP地址
     */
    private String networkAddr;

    /**
     * 组织编号
     */
    private String orgCode;

    /**
     * 组织名称
     */
    private String orgName;

    // 以下为嵌套对象的字段

    /**
     * 大图可用性相关数据
     */
    private BigUsefulness bigUseful;

    /**
     * 人脸合格性相关数据
     */
    private FaceEligibility faceEligibility;

    // 内嵌对象定义

    @Data
    public static class BigUsefulness {
        /**
         * 大图可用性抽检量
         */
        private Integer sampleCount;

        /**
         * 大图不可用率
         */
        private Float bigUsefulPercent;

        /**
         * 大图访问异常数据量
         */
        private Integer bigPicExpCount;

        /**
         * 人脸大小图不一致数据量：小图不在大图中
         */
        private Integer imgDiffCount;

        /**
         * OSD标注异常数据量
         */
        private Integer osdExpCount;

    }

    @Data
    public static class FaceEligibility {
        /**
         * 人脸合格性抽检量
         */
        private Integer sampleCount;

        /**
         * 人脸合格率
         */
        private Float faceEligPercent;

        /**
         * 人脸不唯一量
         */
        private Integer unfaceEligCount;
    }

    public static BigPicUsefulVO getPicVO(FaceDeviceSamplingResult result){
        BigPicUsefulVO vo = new BigPicUsefulVO();
        BeanUtils.copyProperties(result,vo);
        vo.setBigPicExpCount(result.getBigUseful().getBigPicExpCount());
        vo.setBigUsefulPercent(result.getBigUseful().getBigUsefulPercent());
        vo.setSampleCount(result.getBigUseful().getSampleCount());
        vo.setOsdExpCount(result.getBigUseful().getOsdExpCount());
        vo.setImgDiffCount(result.getBigUseful().getImgDiffCount());
        return vo;
    }
    public static BigPicUsefulVO getEligeVO(FaceDeviceSamplingResult result){
        BigPicUsefulVO vo = new BigPicUsefulVO();
        BeanUtils.copyProperties(result,vo);
        vo.setSampleCount(result.getFaceEligibility().getSampleCount());
        vo.setUnfaceEligCount(result.getFaceEligibility().getUnfaceEligCount());
        vo.setFaceEligPercent(result.getFaceEligibility().getFaceEligPercent());
        return vo;
    }
}