ycl-common/src/main/java/constant/ApiConstants.java
@@ -10,9 +10,9 @@ public final static Integer pageNo = 1; public final static Integer pageSize = 5000; //请求参数dataType-卡口过车 public final static Integer HK_DATATYPE_CAR = 1; public final static Integer HK_DataType_CAR = 1; //请求参数dataType-人脸数据 public final static Integer HK_DATATYPE_FACE = 2; public final static Integer HK_DataType_FACE = 2; //抓拍数据量监测结果 正常 public final static Integer HK_SnapCount_ResultType_Normal = 1; @@ -22,7 +22,7 @@ public final static Integer HK_SnapCount_ResultType_Descent = 3; //请求参数dataType 数据量少 public final static Integer HK_DATATYPE_ResultType_Low = 4; public final static Integer HK_DataType_ResultType_Low = 4; //经纬度检测结果 正常 public final static Integer HK_Info_LayType_Normal = 1; ycl-common/src/main/java/constant/CalculationStrategyConstants.java
@@ -8,7 +8,7 @@ /** * 车辆点位在线率和视图库对接稳定性 */ public static final String CAR_SiteOnline_ViewStability = "carSiteOnlineViewStability"; public static final String Car_SiteOnline_ViewStability = "carSiteOnlineViewStability"; /** * 人脸点位在线率和视图库对接稳定性 */ @@ -16,9 +16,17 @@ /** * 车辆卡口属性监测结果 */ public static final String CAR_InfoAccuracy = "carInfoAccuracy"; public static final String Car_InfoAccuracy = "carInfoAccuracy"; /** * 人脸属性监测结果 */ public static final String Face_InfoAccuracy = "faceInfoAccuracy"; /** * 车辆数据上传及时性 */ public static final String Car_SnapshotDelay = "carSnapshotDelay"; /** * 人脸数据上传及时性 */ public static final String Face_SnapshotDelay = "faceSnapshotDelay"; } ycl-server/src/main/java/com/ycl/calculate/CarInFoAccuracyCalculation.java
@@ -129,7 +129,7 @@ Map<String, Object> siteOnlineParam = new HashMap<>(); siteOnlineParam.put("totalSites", stats.totalSites); siteOnlineParam.put("qualifySite", stats.qualifySite); BigDecimal infoAccuracy = InfoAccuracy(siteOnlineParam); BigDecimal infoAccuracy = infoAccuracy(siteOnlineParam); checkIndexCar.setVehicleInformationCollectionAccuracy(infoAccuracy); return checkIndexCar; } ycl-server/src/main/java/com/ycl/calculate/CarSnapshotDelayCalculation.java
New file @@ -0,0 +1,141 @@ 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.SnapshotDataMonitorResult; import com.ycl.platform.domain.result.HK.SnapshotDelayMonitorResult; import com.ycl.platform.mapper.CheckIndexCarMapper; import com.ycl.platform.service.ICheckIndexCarService; import com.ycl.platform.service.ITMonitorService; import com.ycl.system.mapper.SysConfigMapper; import constant.ApiConstants; import constant.CheckConstants; import constant.CheckSnapCountConstants; 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.math.RoundingMode; import java.time.LocalDate; import java.util.*; import java.util.function.Function; import java.util.stream.Collectors; /** * 计算车辆备抓拍数据上传及时性 * 获取分省厅、区域的map<k,v> k为deptId或者Province_deptId * 循环map计算数据上传及时性 * 更新或新增 */ @Component public class CarSnapshotDelayCalculation extends IndexCalculationServe implements CalculationStrategy<SnapshotDelayMonitorResult> { @Autowired private CheckIndexCarMapper checkIndexCarMapper; @Autowired private SysConfigMapper sysConfigMapper; @Autowired private ITMonitorService monitorService; @Autowired private ICheckIndexCarService checkIndexCarService; //区域车辆点位在线指标的内部类 private static class AreaStats { int totalCount = 0; //0-180s int delayCount1 = 0; //180-300s int delayCount2 = 0; //300-600s int delayCount3 = 0; } @Override public void calculate(List<SnapshotDelayMonitorResult> list) { if (CollectionUtils.isEmpty(list)) { return; } //获得国标码为key的设备map Map<String, TMonitor> monitorMap = monitorService.list(new QueryWrapper<TMonitor>() .in("serial_number", list.stream().map(SnapshotDelayMonitorResult::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 (SnapshotDelayMonitorResult 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); } } // 查询是否index表已经存在今日数据 List<CheckIndexCar> checkIndexCarList = checkIndexCarMapper.selectToday(DateUtils.getDate()); List<CheckIndexCar> checkIndexCars = new ArrayList<>(); areaStatsMap.forEach((deptId, stats) -> { if (stats.totalCount > 0) { CheckIndexCar checkIndexCar = createOrUpdateCheckIndexCar(deptId, stats, checkIndexCarList); checkIndexCars.add(checkIndexCar); } }); checkIndexCarService.saveOrUpdateBatch(checkIndexCars); } /** * 累计总点位数、离线数、总抓拍量 */ private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, SnapshotDelayMonitorResult 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.totalCount += result.getDataCount(); stats.delayCount1 += result.getDataDelayCount1(); stats.delayCount2 += result.getDataDelayCount2(); stats.delayCount3 += result.getDataDelayCount3(); } /** * 车辆点位在线率和视图库对接稳定性 */ private CheckIndexCar createOrUpdateCheckIndexCar(String key, AreaStats stats, List<CheckIndexCar> checkIndexCarList) { CheckIndexCar checkIndexCar; // 检查是否已存在今日数据 Optional<CheckIndexCar> existingCar = checkIndexCarList.stream() .filter(car -> key.equals(car.getDeptId().toString()) && (key.startsWith("Province_") ? CheckConstants.Examine_Tag_City.equals(car.getExamineTag()) : CheckConstants.Examine_Tag_County.equals(car.getExamineTag()))) .findFirst(); if (existingCar.isPresent()) { checkIndexCar = existingCar.get(); } else { checkIndexCar = new CheckIndexCar(); checkIndexCar.setDeptId(key.startsWith("Province_") ? Long.parseLong(key.split("_")[1]) : Long.parseLong(key)); checkIndexCar.setExamineTag(key.startsWith("Province_") ? CheckConstants.Examine_Tag_City : CheckConstants.Examine_Tag_County); checkIndexCar.setCreateTime(new Date()); } //调用抓拍上传及时性计算方法 Map<String, Object> param = new HashMap<>(); param.put("totalCount", stats.totalCount); param.put("delayCount1", stats.delayCount1); param.put("delayCount2", stats.delayCount2); param.put("delayCount3", stats.delayCount3); BigDecimal index = snapshopDelay(param); checkIndexCar.setSiteOnline(index); return checkIndexCar; } } ycl-server/src/main/java/com/ycl/calculate/FaceInFoAccuracyCalculation.java
@@ -125,7 +125,7 @@ Map<String, Object> siteOnlineParam = new HashMap<>(); siteOnlineParam.put("totalSites", stats.totalSites); siteOnlineParam.put("qualifySite", stats.qualifySite); BigDecimal infoAccuracy = InfoAccuracy(siteOnlineParam); BigDecimal infoAccuracy = infoAccuracy(siteOnlineParam); checkIndexFace.setFaceInformationCollectionAccuracy(infoAccuracy); return checkIndexFace; } ycl-server/src/main/java/com/ycl/calculate/FaceSnapshotDelayCalculation.java
New file @@ -0,0 +1,136 @@ 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.SnapshotDelayMonitorResult; import com.ycl.platform.mapper.CheckIndexFaceMapper; import com.ycl.platform.service.ICheckIndexFaceService; import com.ycl.platform.service.ITMonitorService; import com.ycl.system.mapper.SysConfigMapper; import constant.CheckConstants; 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.*; import java.util.function.Function; import java.util.stream.Collectors; /** * 计算人脸设备抓拍数据上传及时性 * 获取分省厅、区域的map<k,v> k为deptId或者Province_deptId * 循环map计算数据上传及时性 * 更新或新增 */ @Component public class FaceSnapshotDelayCalculation extends IndexCalculationServe implements CalculationStrategy<SnapshotDelayMonitorResult> { @Autowired private CheckIndexFaceMapper checkIndexFaceMapper; @Autowired private SysConfigMapper sysConfigMapper; @Autowired private ITMonitorService monitorService; @Autowired private ICheckIndexFaceService checkIndexFaceService; //区域车辆点位在线指标的内部类 private static class AreaStats { int totalCount = 0; //0-180s int delayCount1 = 0; //180-300s int delayCount2 = 0; //300-600s int delayCount3 = 0; } @Override public void calculate(List<SnapshotDelayMonitorResult> list) { if (CollectionUtils.isEmpty(list)) { return; } //获得国标码为key的设备map Map<String, TMonitor> monitorMap = monitorService.list(new QueryWrapper<TMonitor>() .in("serial_number", list.stream().map(SnapshotDelayMonitorResult::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 (SnapshotDelayMonitorResult 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); } } // 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.totalCount > 0) { CheckIndexFace checkIndexFace = createOrUpdateCheckIndexFace(deptId, stats, checkIndexFaceList); checkIndexFaces.add(checkIndexFace); } }); checkIndexFaceService.saveOrUpdateBatch(checkIndexFaces); } /** * 累计总点位数、离线数、总抓拍量 */ private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, SnapshotDelayMonitorResult 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.totalCount += result.getDataCount(); stats.delayCount1 += result.getDataDelayCount1(); stats.delayCount2 += result.getDataDelayCount2(); stats.delayCount3 += result.getDataDelayCount3(); } /** * 车辆点位在线率和视图库对接稳定性 */ private CheckIndexFace createOrUpdateCheckIndexFace(String key, AreaStats stats, List<CheckIndexFace> checkIndexFaceList) { CheckIndexFace checkIndexFace; // 检查是否已存在今日数据 Optional<CheckIndexFace> existingFace = checkIndexFaceList.stream() .filter(face -> key.equals(face.getDeptId().toString()) && (key.startsWith("Province_") ? CheckConstants.Examine_Tag_City.equals(face.getExamineTag()) : CheckConstants.Examine_Tag_County.equals(face.getExamineTag()))) .findFirst(); if (existingFace.isPresent()) { checkIndexFace = existingFace.get(); } else { checkIndexFace = new CheckIndexFace(); checkIndexFace.setDeptId(key.startsWith("Province_") ? Long.parseLong(key.split("_")[1]) : Long.parseLong(key)); checkIndexFace.setExamineTag(key.startsWith("Province_") ? CheckConstants.Examine_Tag_City : CheckConstants.Examine_Tag_County); checkIndexFace.setCreateTime(new Date()); } //调用抓拍上传及时性计算方法 Map<String, Object> param = new HashMap<>(); param.put("totalCount", stats.totalCount); param.put("delayCount1", stats.delayCount1); param.put("delayCount2", stats.delayCount2); param.put("delayCount3", stats.delayCount3); BigDecimal index = snapshopDelay(param); checkIndexFace.setSiteOnline(index); return checkIndexFace; } } ycl-server/src/main/java/com/ycl/calculate/IndexCalculationServe.java
@@ -42,12 +42,24 @@ } //标注正确率 public BigDecimal InfoAccuracy(Map<String, Object> param) { public BigDecimal infoAccuracy(Map<String, Object> param) { BigDecimal totalSitesCount = new BigDecimal((Integer) param.get("totalSites")); BigDecimal qualifySiteCount = new BigDecimal((Integer) param.get("qualifySite")); return qualifySiteCount.divide(totalSitesCount, 4, RoundingMode.HALF_UP); } //数据上传及时性 public BigDecimal snapshopDelay(Map<String, Object> param) { BigDecimal totalCount = new BigDecimal((Integer) param.get("totalCount")); BigDecimal delayCount1 = new BigDecimal((Integer) param.get("delayCount1")); BigDecimal delayCount2 = new BigDecimal((Integer) param.get("delayCount2")); BigDecimal delayCount3 = new BigDecimal((Integer) param.get("delayCount3")); BigDecimal result = delayCount1.divide(totalCount, 10, RoundingMode.HALF_UP).multiply(BigDecimal.ONE) .add(delayCount2.divide(totalCount, 10, RoundingMode.HALF_UP).multiply(new BigDecimal("0.8"))) .add(delayCount3.divide(totalCount, 10, RoundingMode.HALF_UP).multiply(new BigDecimal("0.6"))); return result.setScale(4, RoundingMode.HALF_UP); } //返回省厅国标码集合 public List<String> getProvince() { // TODO: 分省厅市局 需要补充集合数据 ycl-server/src/main/java/com/ycl/factory/IndexCalculationFactory.java
@@ -10,10 +10,12 @@ private static final Map<String, CalculationStrategy> calculators = new HashMap<>(); static { calculators.put(CalculationStrategyConstants.CAR_SiteOnline_ViewStability, new CarSiteOnlineCalculation()); calculators.put(CalculationStrategyConstants.Car_SiteOnline_ViewStability, new CarSiteOnlineCalculation()); calculators.put(CalculationStrategyConstants.Face_SiteOnline_ViewStability, new FaceSiteOnlineCalculation()); calculators.put(CalculationStrategyConstants.CAR_InfoAccuracy, new CarInFoAccuracyCalculation()); calculators.put(CalculationStrategyConstants.Car_InfoAccuracy, new CarInFoAccuracyCalculation()); calculators.put(CalculationStrategyConstants.Face_InfoAccuracy, new FaceInFoAccuracyCalculation()); calculators.put(CalculationStrategyConstants.Car_SnapshotDelay, new CarSnapshotDelayCalculation()); calculators.put(CalculationStrategyConstants.Face_SnapshotDelay, new FaceSnapshotDelayCalculation()); } public static CalculationStrategy getCalculator(String indexName) { ycl-server/src/main/java/com/ycl/feign/UYClient.java
@@ -15,7 +15,7 @@ */ @Component @FeignClient(name = "UYClient", url = "${request.youYunDomain}", configuration = YYFeignConfig.class) @FeignClient(name = "UYClient", url = "${request.youYunDomain}", configuration = UYFeignConfig.class) public interface UYClient { /** ycl-server/src/main/java/com/ycl/feign/UYFeignConfig.java
File was renamed from ycl-server/src/main/java/com/ycl/feign/YYFeignConfig.java @@ -11,7 +11,7 @@ * 优云接口配置 */ @Configuration public class YYFeignConfig { public class UYFeignConfig { /** * 注入拦截器 */ ycl-server/src/main/java/com/ycl/task/CarTask.java
@@ -5,6 +5,7 @@ import com.ycl.factory.IndexCalculationFactory; import com.ycl.platform.domain.result.HK.CrossDetailResult; import com.ycl.platform.domain.result.HK.SnapshotDataMonitorResult; import com.ycl.platform.domain.result.HK.SnapshotDelayMonitorResult; import com.ycl.utils.DateUtils; import constant.ApiConstants; import constant.CalculationStrategyConstants; @@ -34,19 +35,32 @@ Query query = new Query(); query.addCriteria(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)) .and("dataType").is(ApiConstants.HK_DATATYPE_CAR)); .and("dataType").is(ApiConstants.HK_DataType_CAR)); List<SnapshotDataMonitorResult> results = mongoTemplate.find(query, SnapshotDataMonitorResult.class); CalculationStrategy<SnapshotDataMonitorResult> calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.CAR_SiteOnline_ViewStability); CalculationStrategy<SnapshotDataMonitorResult> calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Car_SiteOnline_ViewStability); calculator.calculate(results); } public void InfoAccuracyTask(){ public void infoAccuracyTask(){ Date yesterday = DateUtils.addDays(new Date(), -1); //计算车辆卡口信息采集准确率 Query query = new Query(); query.addCriteria(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday))); List<CrossDetailResult> results = mongoTemplate.find(query, CrossDetailResult.class); CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.CAR_InfoAccuracy); CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Car_InfoAccuracy); calculator.calculate(results); } public void snapShopDelay(){ Date yesterday = DateUtils.addDays(new Date(), -1); //计算车辆卡口信息采集准确率 Query query = new Query(); query.addCriteria(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)) .and("dataType").is(ApiConstants.HK_DataType_CAR)); List<SnapshotDelayMonitorResult> results = mongoTemplate.find(query, SnapshotDelayMonitorResult.class); CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Car_SnapshotDelay); calculator.calculate(results); } } ycl-server/src/main/java/com/ycl/task/FaceTask.java
@@ -6,6 +6,7 @@ import com.ycl.platform.domain.result.HK.CrossDetailResult; import com.ycl.platform.domain.result.HK.MonitoringDetailResult; import com.ycl.platform.domain.result.HK.SnapshotDataMonitorResult; import com.ycl.platform.domain.result.HK.SnapshotDelayMonitorResult; import com.ycl.utils.DateUtils; import constant.ApiConstants; import constant.CalculationStrategyConstants; @@ -35,9 +36,9 @@ Query query = new Query(); query.addCriteria(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)) .and("dataType").is(ApiConstants.HK_DATATYPE_FACE)); .and("dataType").is(ApiConstants.HK_DataType_FACE)); List<SnapshotDataMonitorResult> results = mongoTemplate.find(query, SnapshotDataMonitorResult.class); CalculationStrategy<SnapshotDataMonitorResult> calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SiteOnline_ViewStability); CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SiteOnline_ViewStability); calculator.calculate(results); } public void InfoAccuracyTask(){ @@ -47,7 +48,18 @@ query.addCriteria(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday))); List<MonitoringDetailResult> results = mongoTemplate.find(query, MonitoringDetailResult.class); CalculationStrategy<MonitoringDetailResult> calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_InfoAccuracy); CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_InfoAccuracy); calculator.calculate(results); } public void snapShopDelay(){ Date yesterday = DateUtils.addDays(new Date(), -1); //计算车辆卡口信息采集准确率 Query query = new Query(); query.addCriteria(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)) .and("dataType").is(ApiConstants.HK_DataType_FACE)); List<SnapshotDelayMonitorResult> results = mongoTemplate.find(query, SnapshotDelayMonitorResult.class); CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SnapshotDelay); calculator.calculate(results); } } ycl-server/src/main/java/com/ycl/task/HKTask.java
@@ -86,33 +86,33 @@ log.info("开始执行抓拍数据量检测结果数据同步"); /** 车辆数据 */ SnapshotDataMonitorParam carParam = new SnapshotDataMonitorParam(); carParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_CAR); carParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_CAR); JSONObject carJsonObject = hkClient.SnapshotDataMonitor(carParam); List<SnapshotDataMonitorResult> carList = getDataList(carJsonObject, SnapshotDataMonitorResult.class, "车辆抓拍数据量检测结果数据"); if (!CollectionUtils.isEmpty(carList)) { //如果今天存在之前的数据先删除 Query query = new Query(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(new Date())).lt(DateUtils.getDayEnd(new Date())) .and("dataType").is(ApiConstants.HK_DATATYPE_CAR)); .and("dataType").is(ApiConstants.HK_DataType_CAR)); DeleteResult result = mongoTemplate.remove(query, SnapshotDataMonitorResult.class); //存放在mongo中 carList.forEach(item -> item.setDataType(ApiConstants.HK_DATATYPE_CAR)); carList.forEach(item -> item.setDataType(ApiConstants.HK_DataType_CAR)); mongoTemplate.insert(carList); } /** 人脸数据 */ SnapshotDataMonitorParam faceParam = new SnapshotDataMonitorParam(); faceParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_FACE); faceParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_FACE); JSONObject faceJsonObject = hkClient.SnapshotDataMonitor(carParam); List<SnapshotDataMonitorResult> faceList = getDataList(faceJsonObject, SnapshotDataMonitorResult.class, "人脸抓拍数据量检测结果数据为空"); if (!CollectionUtils.isEmpty(faceList)) { //如果今天存在之前的数据先删除 Query query = new Query(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(new Date())).lt(DateUtils.getDayEnd(new Date())) .and("dataType").is(ApiConstants.HK_DATATYPE_FACE)); .and("dataType").is(ApiConstants.HK_DataType_FACE)); DeleteResult result = mongoTemplate.remove(query, SnapshotDataMonitorResult.class); //存放在mongo中 carList.forEach(item -> item.setDataType(ApiConstants.HK_DATATYPE_FACE)); carList.forEach(item -> item.setDataType(ApiConstants.HK_DataType_FACE)); mongoTemplate.insert(faceList); } //TODO:工单 @@ -164,7 +164,7 @@ log.info("开始执行数据完整性监测结果数据同步"); //车辆卡口设备抓拍数据完整性 DataIntegrityMonitoringParam param = new DataIntegrityMonitoringParam(); param.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_CAR); param.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_CAR); JSONObject jsonObject = hkClient.DataIntegrityMonitoring(param); List<DataIntegrityMonitoringResult> faceList = getDataList(jsonObject, DataIntegrityMonitoringResult.class, "数据完整性监测结果数据为空"); if (!CollectionUtils.isEmpty(faceList)) { @@ -184,7 +184,7 @@ log.info("开始执行属性识别准确监测结果数据同步"); //车辆卡口设备抓拍数据准确性 AttrRecognitionParam param = new AttrRecognitionParam(); param.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_CAR); param.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_CAR); JSONObject jsonObject = hkClient.AttrRecognitionMonitor(param); List<AttrRecognitionMonitorResult> faceList = getDataList(jsonObject, AttrRecognitionMonitorResult.class, "属性识别准确监测结果数据为空"); if (!CollectionUtils.isEmpty(faceList)) { @@ -206,33 +206,33 @@ //车辆卡口设备抓拍数据上传及时性 /** 车辆数据 */ SnapshotDelayMonitorParam carParam = new SnapshotDelayMonitorParam(); carParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_CAR); carParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_CAR); JSONObject carJsonObject = hkClient.SnapshotDelayMonitor(carParam); List<SnapshotDelayMonitorResult> carList = getDataList(carJsonObject, SnapshotDelayMonitorResult.class, "车辆抓拍数据量检测结果数据"); if (!CollectionUtils.isEmpty(carList)) { //如果今天存在之前的数据先删除 Query query = new Query(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(new Date())).lt(DateUtils.getDayEnd(new Date())) .and("dataType").is(ApiConstants.HK_DATATYPE_CAR)); .and("dataType").is(ApiConstants.HK_DataType_CAR)); DeleteResult result = mongoTemplate.remove(query, SnapshotDelayMonitorParam.class); //存放在mongo中 carList.forEach(item -> item.setDataType(ApiConstants.HK_DATATYPE_CAR)); carList.forEach(item -> item.setDataType(ApiConstants.HK_DataType_CAR)); mongoTemplate.insert(carList); } /** 人脸数据 */ SnapshotDelayMonitorParam faceParam = new SnapshotDelayMonitorParam(); faceParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_FACE); faceParam.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_FACE); JSONObject faceJsonObject = hkClient.SnapshotDelayMonitor(faceParam); List<SnapshotDelayMonitorParam> faceList = getDataList(faceJsonObject, SnapshotDelayMonitorParam.class, "人脸抓拍数据量检测结果数据为空"); if (!CollectionUtils.isEmpty(faceList)) { //如果今天存在之前的数据先删除 Query query = new Query(Criteria .where("mongoCreateTime").gte(DateUtils.getDayStart(new Date())).lt(DateUtils.getDayEnd(new Date())) .and("dataType").is(ApiConstants.HK_DATATYPE_FACE)); .and("dataType").is(ApiConstants.HK_DataType_FACE)); DeleteResult result = mongoTemplate.remove(query, SnapshotDelayMonitorParam.class); //存放在mongo中 carList.forEach(item -> item.setDataType(ApiConstants.HK_DATATYPE_FACE)); carList.forEach(item -> item.setDataType(ApiConstants.HK_DataType_FACE)); mongoTemplate.insert(faceList); } //TODO:工单 @@ -244,7 +244,7 @@ log.info("开始执行图片访问监测结果数据同步"); //车辆卡口信息采集准确率、车辆卡口设备url可用性 PicAccessParam param = new PicAccessParam(); param.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DATATYPE_CAR); param.setPageNO(ApiConstants.pageNo).setPageSize(ApiConstants.pageSize).setDate(DateUtils.getDate()).setDataType(ApiConstants.HK_DataType_CAR); JSONObject jsonObject = hkClient.PicAccessMonitor(param); List<PicAccessResult> faceList = getDataList(jsonObject, PicAccessResult.class, "图片访问监测结果数据为空"); if (!CollectionUtils.isEmpty(faceList)) {