fuliqi
2024-09-10 7d5ea3631d163343b652bd6bd40b94b34c4194eb
ycl-server/src/main/java/com/ycl/calculate/FaceSnapshotDataCalculation.java
@@ -10,12 +10,14 @@
import com.ycl.platform.mapper.TMonitorMapper;
import com.ycl.platform.service.ICheckIndexFaceService;
import com.ycl.platform.service.ITMonitorService;
import com.ycl.system.entity.SysDictData;
import com.ycl.system.mapper.SysConfigMapper;
import constant.ApiConstants;
import constant.CheckConstants;
import constant.CheckSnapCountConstants;
import com.ycl.system.mapper.SysDictDataMapper;
import constant.*;
import enumeration.general.AreaDeptEnum;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import utils.DateUtils;
@@ -23,6 +25,7 @@
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.time.LocalDate;
import java.time.temporal.TemporalAdjusters;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
@@ -36,8 +39,7 @@
 */
@Component
@Slf4j
//TODD:系统配置里的区分人脸和车辆、累加次数的概念、区县不少于40路,不达标市州的当月该项成绩不能得分。
public class FaceSnapshotDataCalculation extends IndexCalculationServe implements CalculationStrategy<SnapshotDataMonitorResult> {
public class FaceSnapshotDataCalculation extends IndexCalculationServe<SnapshotDataMonitorResult, FaceSnapshotDataCalculation.AreaStats> implements CalculationStrategy<SnapshotDataMonitorResult> {
    @Autowired
    private CheckIndexFaceMapper checkIndexFaceMapper;
    @Autowired
@@ -46,52 +48,39 @@
    private SysConfigMapper sysConfigMapper;
    @Autowired
    private TMonitorMapper monitorMapper;
    @Autowired
    private RedisTemplate redisTemplate;
    @Autowired
    private SysDictDataMapper dictDataMapper;
    //区域人脸点位在线指标的内部类
    private static class AreaStats {
    protected static class AreaStats {
        int totalSites = 0;
        int onlineSites = 0;
        int totalDataSum = 0;
    }
    @Override
    public void calculate(List<SnapshotDataMonitorResult> list) {
        if (CollectionUtils.isEmpty(list)) {
            log.info("数据为空");
            return;
        //获取分区域的指标数量
        Map<String, FaceSnapshotDataCalculation.AreaStats> areaStatsMap = getAreaStatsMap(list);
        if (areaStatsMap == null) return;
        // 获取当前日期
        LocalDate today = LocalDate.now();
        // 获取本月的第一天
        LocalDate firstDayOfMonth = today.with(TemporalAdjusters.firstDayOfMonth());
        // 判断今天是否是本月的第一天
        if (today.equals(firstDayOfMonth)) {
            // 如果是,则清除Redis中记录中断次数的数据
            redisTemplate.delete(RedisConstant.Check_Face_ViewConnect);
        }
        //返回以国标码为key的设备map
        Map<String, TMonitorVO> monitorMap = monitorMapper.selectListByIds(list.stream().map(SnapshotDataMonitorResult::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 (SnapshotDataMonitorResult 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 = ApiConstants.Province + deptId;
                updateAreaStats(areaStatsMap, provinceKey, result);
            }
        }
        //获取2022同期抓拍平均值 省厅、市局
        BigDecimal cityCountAvg = getAverageCount(CheckSnapCountConstants.Face_City);
        BigDecimal countyCountAvg = getAverageCount(CheckSnapCountConstants.Face_County);
        //从字典获取同期抓拍量
        List<SysDictData> faceSnap = dictDataMapper.selectDictDataByType(CheckConstants.DICT_FACE_SNAP);
        // 查询今日数据
        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, cityCountAvg, countyCountAvg, checkIndexFaceList);
                CheckIndexFace checkIndexFace = createOrUpdateCheckIndexFace(deptId, stats, checkIndexFaceList,faceSnap);
                if (checkIndexFace != null) {
                    checkIndexFaces.add(checkIndexFace);
                }
@@ -102,45 +91,50 @@
    }
    //累计总点位数、离线数、总抓拍量
    private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, SnapshotDataMonitorResult result) {
    @Override
    public void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, SnapshotDataMonitorResult 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());
        stats.totalSites++;
        if (ApiConstants.HK_SnapCount_ResultType_Null != result.getResultType()) {
            stats.onlineSites++;
        } else {
            stats.totalDataSum += result.getDataCount();
        }
    }
    //获取2022同期抓拍平均值
    private BigDecimal getAverageCount(String configKey) {
        String count = sysConfigMapper.checkConfigKeyUnique(configKey).getConfigValue();
        return new BigDecimal(count)
                .multiply(new BigDecimal(CheckSnapCountConstants.Multiply))
                .divide(new BigDecimal(CheckSnapCountConstants.CountyNum), 10, RoundingMode.HALF_UP)
                .divide(new BigDecimal(LocalDate.now().getDayOfMonth()), 0, RoundingMode.HALF_UP);
    }
    //车辆点位在线率和视图库对接稳定性
    private CheckIndexFace createOrUpdateCheckIndexFace(String key, AreaStats stats, BigDecimal cityCountAvg, BigDecimal countyCountAvg, List<CheckIndexFace> checkIndexFaceList) {
    //人脸视图库对接稳定性
    private CheckIndexFace createOrUpdateCheckIndexFace(String key, AreaStats stats, List<CheckIndexFace> checkIndexFaceList,List<SysDictData> faceSnap) {
        CheckIndexFace checkIndexFace = getCheckIndex(key, checkIndexFaceList, CheckIndexFace.class);
        if (checkIndexFace == null) {
            return null;
        }
        //调用点位在线计算方法
        Map<String, Object> siteOnlineParam = new HashMap<>();
        siteOnlineParam.put("totalSites", stats.totalSites);
        siteOnlineParam.put("onlineSites", stats.onlineSites);
        BigDecimal siteOnline = siteOnline(siteOnlineParam);
        checkIndexFace.setSiteOnline(siteOnline);
        //视图库对接稳定性
        BigDecimal avgCount = key.startsWith(ApiConstants.Province) ? cityCountAvg : countyCountAvg;
        Map<String, Object> viewConnectParam = new HashMap<>();
        viewConnectParam.put("totalDataSum", stats.totalDataSum);
        viewConnectParam.put("avgCount", avgCount);
        BigDecimal viewConnectStability = viewConnectStability(viewConnectParam);
        checkIndexFace.setViewConnectStability(viewConnectStability);
        //Redis记录该区县当月无数据上传次数
        Integer noDateCount = (Integer) redisTemplate.opsForHash().get(RedisConstant.Check_Face_ViewConnect, key);
        // 如果值为null,则初始化为0
        if (noDateCount == null) {
            noDateCount = 0;
        }
        Double deductScore = 0.1 * noDateCount;
        log.info("总量:{}",stats.totalDataSum);
        if (stats.totalDataSum != 0) {
            Integer deptId = key.startsWith(ApiConstants.Province) ? Integer.parseInt(key.split("_")[1]) : Integer.parseInt(key);
            String dictKey = key.startsWith(ApiConstants.Province) ? ApiConstants.Province+ AreaDeptEnum.fromDept(deptId).getCode() : ApiConstants.County+AreaDeptEnum.fromDept(deptId).getCode();
            Optional<SysDictData> first = faceSnap.stream().filter(sysDictData -> sysDictData.getDictLabel().equals(dictKey)).findFirst();
            if(first.isPresent()) {
                String value = first.get().getDictValue();
                Map<String, Object> viewConnectParam = new HashMap<>();
                viewConnectParam.put("totalDataSum", stats.totalDataSum);
                viewConnectParam.put("avgCount", new BigDecimal(value).multiply(new BigDecimal(CheckConstants.MultiplyNum)).divide(new BigDecimal(LocalDate.now().getDayOfMonth()), 0, RoundingMode.HALF_UP));
                BigDecimal viewConnectStability = viewConnectStability(viewConnectParam);
                viewConnectStability = viewConnectStability.subtract(new BigDecimal(deductScore)).max(BigDecimal.ZERO).min(BigDecimal.ONE);
                checkIndexFace.setViewConnectStability(viewConnectStability);
            }
        } else {
            noDateCount++;
        }
        // 将新的值放回Hash中
        redisTemplate.opsForHash().put(RedisConstant.Check_Face_ViewConnect, key, noDateCount);
        return checkIndexFace;
    }
}