图像安全资源管理整合，车辆抓拍数据完整和准确计算公式修改

fuliqi

2024-08-31 b890afe0d93b9856bcfe6829ec51a69e232ce0d7

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

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

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.ycl.platform.domain.entity.CheckIndexCar;
import com.ycl.platform.domain.entity.TMonitor;
import com.ycl.platform.domain.result.HK.DataIntegrityMonitoringResult;
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 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;
@@ -23,17 +23,18 @@
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
@Slf4j
public class CarDeviceSampleCalculation extends IndexCalculationServe implements CalculationStrategy<VehicleDeviceSamplingResult> {
    @Autowired
    private CheckIndexCarMapper checkIndexCarMapper;
    @Autowired
    private ITMonitorService monitorService;
    private TMonitorMapper monitorMapper;
    @Autowired
    private ICheckIndexCarService checkIndexCarService;

@@ -54,27 +55,26 @@
    @Override
    public void calculate(List<VehicleDeviceSamplingResult> list) {
        if (CollectionUtils.isEmpty(list)) {
            log.info("数据为空");
            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(VehicleDeviceSamplingResult::getExternalIndexCode).collect(Collectors.toList())))
                .stream().collect(Collectors.toMap(TMonitor::getSerialNumber, Function.identity()));
        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) {
            TMonitor monitor = monitorMap.get(result.getExternalIndexCode());
            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 = "Province_" + deptId;
                String provinceKey = ApiConstants.Province + deptId;
                updateAreaStats(areaStatsMap, provinceKey, result, importantIds);
            }
        }
@@ -108,7 +108,7 @@
            stats.accuracySites++;
        }
        //重点点位为六项属性
        if (importantIds.contains(key)) {
        if (importantIds.contains(result.getExternalIndexCode())) {
            stats.importantTotalSites++;
            if (vehDiff.getImportantConPercent() >= 0.9) {
                stats.importantAccuracySites++;
@@ -118,13 +118,15 @@
        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++;
            }
        }
    }

@@ -152,8 +154,8 @@
        checkIndexCar.setVehicleUrlAvailability(urlUsability);
        //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;