考核指标代码调整

fuliqi

2024-09-09 d5c2dc44df6e6442b3bb5033cd9ca116777aecbc

 ycl-server/src/main/java/com/ycl/calculate/FaceDeviceSampleCalculation.java

@@ -1,12 +1,13 @@
package com.ycl.calculate;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.ycl.platform.domain.entity.CheckIndexFace;
import com.ycl.platform.domain.entity.TMonitor;
import com.ycl.platform.domain.result.HK.FaceDeviceSamplingResult;
import com.ycl.platform.domain.vo.TMonitorVO;
import com.ycl.platform.mapper.CheckIndexFaceMapper;
import com.ycl.platform.mapper.TMonitorMapper;
import com.ycl.platform.service.ICheckIndexFaceService;
import com.ycl.platform.service.ITMonitorService;
import constant.ApiConstants;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
@@ -27,16 +28,17 @@
 * 更新或新增
 */
@Component
public class FaceDeviceSampleCalculation extends IndexCalculationServe implements CalculationStrategy<FaceDeviceSamplingResult> {
@Slf4j
public class FaceDeviceSampleCalculation extends IndexCalculationServe<FaceDeviceSamplingResult, FaceDeviceSampleCalculation.AreaStats> implements CalculationStrategy<FaceDeviceSamplingResult> {
    @Autowired
    private CheckIndexFaceMapper checkIndexFaceMapper;
    @Autowired
    private ITMonitorService monitorService;
    private TMonitorMapper monitorMapper;
    @Autowired
    private ICheckIndexFaceService checkIndexFaceService;

    //区域车辆抽检指标
    private static class AreaStats {
    protected static class AreaStats {
        int totalSites = 0;
        //图片合格的点位数
        int picQualifySites = 0;
@@ -46,29 +48,9 @@

    @Override
    public void calculate(List<FaceDeviceSamplingResult> list) {
        if (CollectionUtils.isEmpty(list)) {
            return;
        }
        //返回以国标码为key的设备map
        //TODO：monitor去掉了deptId
        Map<String, TMonitor> monitorMap = monitorService.list(new QueryWrapper<TMonitor>()
                        .in("serial_number", list.stream().map(FaceDeviceSamplingResult::getExternalIndexCode).collect(Collectors.toList())))
                .stream().collect(Collectors.toMap(TMonitor::getSerialNumber, Function.identity()));
        //获取省厅国标码集合
        List<String> provinceIds = getProvince();
        Map<String, AreaStats> areaStatsMap = new HashMap<>();
        for (FaceDeviceSamplingResult result : list) {
            TMonitor monitor = monitorMap.get(result.getExternalIndexCode());
            if (monitor == null) continue;
            String deptId = monitor.getDeptId().toString();
            updateAreaStats(areaStatsMap, deptId, result);

            // 处理省厅数据
            if (!CollectionUtils.isEmpty(provinceIds) && provinceIds.contains(monitor.getSerialNumber())) {
                String provinceKey = "Province_" + deptId;
                updateAreaStats(areaStatsMap, provinceKey, result);
            }
        }
        //获取分区域的指标数量
        Map<String, FaceDeviceSampleCalculation.AreaStats> areaStatsMap = getAreaStatsMap(list);
        if (areaStatsMap == null) return;

        // 查询是否index表已经存在今日数据
        List<CheckIndexFace> checkIndexFaceList = checkIndexFaceMapper.selectToday(DateUtils.getDate());
@@ -88,19 +70,24 @@
    /**
     * 累计抓拍数据准确设备数和设备总数
     */
    private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, FaceDeviceSamplingResult result) {
    @Override
    public void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, FaceDeviceSamplingResult result) {
        //返回对象的引用，如果不存在会放入新的key,value
        AreaStats stats = areaStatsMap.computeIfAbsent(key, k -> new AreaStats());
        FaceDeviceSamplingResult.BigUsefulness bigUseful = result.getBigUseful();
        FaceDeviceSamplingResult.FaceEligibility faceElig = result.getFaceElig();
        FaceDeviceSamplingResult.FaceEligibility faceElig = result.getFaceEligibility();
        stats.totalSites++;
        //90%及以上数据合格则此人脸设备被视为图片合格
        if (faceElig.getFaceEligPercent() >= 0.9) {
            stats.picQualifySites++;
        if (faceElig != null) {
            if (faceElig.getFaceEligPercent() >= 0.9) {
                stats.picQualifySites++;
            }
        }
        //大图可用率大于90%视为合格
        if (bigUseful.getBigUsefulPercent() >= 0.9) {
            stats.picUsabilitySites++;
        if (bigUseful != null) {
            if (bigUseful.getBigUsefulPercent() >= 0.9) {
                stats.picUsabilitySites++;
            }
        }
    }