点位在线率调整

fuliqi

2024-09-10 7d5ea3631d163343b652bd6bd40b94b34c4194eb

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

@@ -2,14 +2,11 @@

import com.ycl.platform.domain.entity.CheckIndexCar;
import com.ycl.platform.domain.result.HK.VehicleDeviceSamplingResult;
import com.ycl.platform.domain.vo.TMonitorVO;
import com.ycl.platform.mapper.CheckIndexCarMapper;
import com.ycl.platform.mapper.TMonitorMapper;
import com.ycl.platform.service.ICheckIndexCarService;
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;
import utils.DateUtils;

import java.math.BigDecimal;
@@ -18,26 +15,23 @@
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;

/**
 * 计算车辆属性识别准确率、url可用性、大图可用性
 * 计算车辆抓拍数据准确性、url可用性、大图可用性
 * 车辆数据抽检接口
 * 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 CarDeviceSampleCalculation extends IndexCalculationServe implements CalculationStrategy<VehicleDeviceSamplingResult> {
@Slf4j
public class CarDeviceSampleCalculation extends IndexCalculationServe<VehicleDeviceSamplingResult, CarDeviceSampleCalculation.AreaStats> implements CalculationStrategy<VehicleDeviceSamplingResult> {
    @Autowired
    private CheckIndexCarMapper checkIndexCarMapper;
    @Autowired
    private TMonitorMapper monitorMapper;
    @Autowired
    private ICheckIndexCarService checkIndexCarService;

    //区域车辆抽检指标
    private static class AreaStats {
    protected static class AreaStats {
        int totalSites = 0;
        int importantTotalSites = 0;
        //属性识别准确的点位数
@@ -52,29 +46,9 @@

    @Override
    public void calculate(List<VehicleDeviceSamplingResult> 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(VehicleDeviceSamplingResult::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();
        //获取重点点位集合
        List<String> importantIds = getImportant();
        Map<String, AreaStats> areaStatsMap = new HashMap<>();
        for (VehicleDeviceSamplingResult result : list) {
            TMonitorVO monitor = monitorMap.get(result.getExternalIndexCode());
            if (monitor == null) continue;
            String deptId = monitor.getDeptId().toString();
            updateAreaStats(areaStatsMap, deptId, result, importantIds);

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

        // 查询是否index表已经存在今日数据
        List<CheckIndexCar> checkIndexCarList = checkIndexCarMapper.selectToday(DateUtils.getDate());
@@ -94,7 +68,8 @@
    /**
     * 累计抓拍数据准确设备数和设备总数，区分重点点位
     */
    private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, VehicleDeviceSamplingResult result, List<String> importantIds) {
    @Override
    public void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, VehicleDeviceSamplingResult 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());
        VehicleDeviceSamplingResult.VehicleDifference vehDiff = result.getVehDiff();
@@ -105,7 +80,7 @@
            stats.accuracySites++;
        }
        //重点点位为六项属性
        if (importantIds.contains(key)) {
        if (result.getImportantTag() != null && result.getImportantTag()) {
            stats.importantTotalSites++;
            if (vehDiff.getImportantConPercent() >= 0.9) {
                stats.importantAccuracySites++;
@@ -115,25 +90,28 @@
        if (bigUseful.getBigUsefulPercent() >= 0.9) {
            stats.picUsabilitySites++;
        }
        //图片访问正常量 = 抽检量-异常量
        BigDecimal picNormalCount = new BigDecimal(bigUseful.getSampleCount() - bigUseful.getBigPicExpCount());
        //图片抽检量
        BigDecimal sampleCount = new BigDecimal(bigUseful.getSampleCount());
        //图片访问率>=90% 视为合格
        if (picNormalCount.divide(sampleCount, 4, RoundingMode.HALF_UP).compareTo(new BigDecimal("0.9")) >= 0) {
            stats.urlUsabilitySites++;
        if (bigUseful.getSampleCount() != 0) {
            //图片访问正常量 = 抽检量-异常量
            BigDecimal picNormalCount = new BigDecimal(bigUseful.getSampleCount() - bigUseful.getBigPicExpCount());
            //图片抽检量
            BigDecimal sampleCount = new BigDecimal(bigUseful.getSampleCount());
            //图片访问率>=90% 视为合格
            if (picNormalCount.divide(sampleCount, 4, RoundingMode.HALF_UP).compareTo(new BigDecimal("0.9")) >= 0) {
                stats.urlUsabilitySites++;
            }
        }
    }

    /**
     * 车辆信息采集正确率、url可用性、大图可用性
     * 车辆抓拍数据准确性、url可用性、大图可用性
     */
    private CheckIndexCar createOrUpdateCheckIndexCar(String key, AreaStats stats, List<CheckIndexCar> checkIndexCarList) {
        CheckIndexCar checkIndexCar = getCheckIndex(key, checkIndexCarList, CheckIndexCar.class);
        if (checkIndexCar == null) {
            return null;
        }
        //调用信息采集正确率计算方法
        log.info("key:{},车辆抓拍数据准确性：totalSites：{}，importantTotalSites:{}，accuracySites:{}，importantAccuracySites:{}", key, stats.totalSites, stats.importantTotalSites, stats.accuracySites, stats.importantAccuracySites);
        //调用车辆抓拍数据准确性计算方法
        Map<String, Object> accuracyParam = new HashMap<>();
        accuracyParam.put("totalSites", stats.totalSites);
        accuracyParam.put("importantTotalSites", stats.importantTotalSites);
@@ -141,16 +119,18 @@
        accuracyParam.put("importantAccuracySites", stats.importantAccuracySites);
        BigDecimal dataAccuracy = dataAccuracy(accuracyParam);
        checkIndexCar.setVehicleCaptureAccuracy(dataAccuracy);
        log.info("url可用性: totalSites:{},urlQualifySites:{}", stats.totalSites, stats.urlUsabilitySites);
        //调用url可用性计算方法
        Map<String, Object> urlParam = new HashMap<>();
        urlParam.put("totalSites", stats.totalSites);
        urlParam.put("urlQualifySites", stats.urlUsabilitySites);
        BigDecimal urlUsability = urlUsability(urlParam);
        checkIndexCar.setVehicleUrlAvailability(urlUsability);
        log.info("大图可用性: totalSites:{},picUsabilitySites:{}", stats.totalSites, stats.picUsabilitySites);
        //调用大图可用性计算方法
        Map<String, Object> usabilityParam = new HashMap<>();
        urlParam.put("totalSites", stats.totalSites);
        urlParam.put("picUsabilitySites", stats.picUsabilitySites);
        usabilityParam.put("totalSites", stats.totalSites);
        usabilityParam.put("picUsabilitySites", stats.picUsabilitySites);
        BigDecimal picUsability = picUsability(usabilityParam);
        checkIndexCar.setVehiclePictureAvailability(picUsability);
        return checkIndexCar;