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.FaceDeviceInspectionResult;
|
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 org.springframework.beans.factory.annotation.Autowired;
|
import org.springframework.stereotype.Component;
|
import org.springframework.util.CollectionUtils;
|
import utils.DateUtils;
|
|
import java.math.BigDecimal;
|
import java.util.ArrayList;
|
import java.util.HashMap;
|
import java.util.List;
|
import java.util.Map;
|
import java.util.function.Function;
|
import java.util.stream.Collectors;
|
|
/**
|
* 计算人脸抓拍图片合格性、大图可用性
|
* 人脸数据抽检接口
|
* 获取分省厅、区域的map<k,v> k为deptId或者Province_deptId
|
* 更新或新增
|
*/
|
@Component
|
public class FaceDeviceSampleCalculation extends IndexCalculationServe implements CalculationStrategy<FaceDeviceSamplingResult> {
|
@Autowired
|
private CheckIndexFaceMapper checkIndexFaceMapper;
|
@Autowired
|
private TMonitorMapper monitorMapper;
|
@Autowired
|
private ICheckIndexFaceService checkIndexFaceService;
|
|
//区域车辆抽检指标
|
private static class AreaStats {
|
int totalSites = 0;
|
//图片合格的点位数
|
int picQualifySites = 0;
|
//图片可用的点位数
|
int picUsabilitySites = 0;
|
}
|
|
@Override
|
public void calculate(List<FaceDeviceSamplingResult> list) {
|
if (CollectionUtils.isEmpty(list)) {
|
return;
|
}
|
//返回以国标码为key的设备map
|
Map<String, TMonitorVO> monitorMap = monitorMapper.selectListByIds(list.stream().map(FaceDeviceSamplingResult::getExternalIndexCode).collect(Collectors.toList()))
|
.stream().collect(Collectors.toMap(TMonitorVO::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) {
|
TMonitorVO 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);
|
}
|
}
|
|
// 查询是否index表已经存在今日数据
|
List<CheckIndexFace> checkIndexFaceList = checkIndexFaceMapper.selectToday(DateUtils.getDate());
|
List<CheckIndexFace> checkIndexFaces = new ArrayList<>();
|
areaStatsMap.forEach((deptId, stats) -> {
|
if (stats.totalSites > 0) {
|
CheckIndexFace checkIndexFace = createOrUpdateCheckIndexFace(deptId, stats, checkIndexFaceList);
|
if (checkIndexFace != null) {
|
checkIndexFaces.add(checkIndexFace);
|
}
|
}
|
});
|
|
checkIndexFaceService.saveOrUpdateBatch(checkIndexFaces);
|
}
|
|
/**
|
* 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) {
|
//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();
|
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++;
|
}
|
//大图可用率大于90%视为合格
|
if (bigUseful.getBigUsefulPercent() >= 0.9) {
|
stats.picUsabilitySites++;
|
}
|
}
|
|
/**
|
* 人脸图片合格率、大图可用性
|
*/
|
private CheckIndexFace createOrUpdateCheckIndexFace(String key, AreaStats stats, List<CheckIndexFace> checkIndexFaceList) {
|
CheckIndexFace checkIndexFace = getCheckIndex(key, checkIndexFaceList, CheckIndexFace.class);
|
if (checkIndexFace == null) {
|
return null;
|
}
|
//调用图片合格率计算方法
|
Map<String, Object> qualifyParam = new HashMap<>();
|
qualifyParam.put("totalSites", stats.totalSites);
|
qualifyParam.put("picQualifySites", stats.picQualifySites);
|
BigDecimal dataQualify = dataQualify(qualifyParam);
|
checkIndexFace.setFacePictureQualification(dataQualify);
|
//调用大图可用性计算方法
|
Map<String, Object> usabilityParam = new HashMap<>();
|
usabilityParam.put("totalSites", stats.totalSites);
|
usabilityParam.put("picUsabilitySites", stats.picUsabilitySites);
|
BigDecimal picUsability = picUsability(usabilityParam);
|
checkIndexFace.setFacePictureAvailability(picUsability);
|
return checkIndexFace;
|
}
|
|
|
}
|
