| | |
| | | import com.ycl.feign.UYClient; |
| | | import com.ycl.platform.domain.entity.TMonitor; |
| | | import com.ycl.platform.domain.entity.WorkOrder; |
| | | import com.ycl.platform.domain.entity.YwPoint; |
| | | import com.ycl.platform.domain.param.UY.*; |
| | | import com.ycl.platform.domain.param.UY.ImageDetectionParam; |
| | | import com.ycl.platform.domain.param.UY.MonitorQualifyParam; |
| | | import com.ycl.platform.domain.param.UY.RecordMetaDSumParam; |
| | | import com.ycl.platform.domain.param.UY.VideoOnlineParam; |
| | | import com.ycl.platform.domain.result.SYS.TMonitorResult; |
| | | import com.ycl.platform.domain.result.UY.ImageDetectionResult; |
| | | import com.ycl.platform.domain.result.UY.MonitorQualifyResult; |
| | | import com.ycl.platform.domain.result.UY.RecordMetaDSumResult; |
| | | import com.ycl.platform.domain.result.UY.*; |
| | | import com.ycl.platform.domain.vo.OnlineThreadVO; |
| | | import com.ycl.platform.domain.result.UY.VideoOnlineResult; |
| | | import com.ycl.platform.domain.vo.UpdateOnlineVO; |
| | | import com.ycl.platform.mapper.TMonitorMapper; |
| | | import com.ycl.platform.mapper.WorkOrderMapper; |
| | | import com.ycl.platform.service.UYErrorTypeCheckService; |
| | | import com.ycl.platform.service.WorkOrderService; |
| | | import com.ycl.platform.service.YwPointService; |
| | | import com.ycl.system.domain.SysConfig; |
| | | import com.ycl.system.mapper.SysConfigMapper; |
| | | import com.ycl.thread.OnlineCheckThread; |
| | | import com.ycl.utils.CheckPointUtil; |
| | | import com.ycl.utils.DateUtils; |
| | | import com.ycl.utils.http.HttpUtils; |
| | | import com.ycl.utils.http.SelfHttpUtil; |
| | | import constant.ApiConstants; |
| | | import constant.CheckConstants; |
| | | import constant.RedisConstant; |
| | | import enumeration.ErrorType; |
| | | import enumeration.general.WorkOrderStatusEnum; |
| | | import lombok.RequiredArgsConstructor; |
| | | import lombok.extern.slf4j.Slf4j; |
| | | import org.apache.commons.lang3.StringUtils; |
| | | import org.springframework.beans.BeanUtils; |
| | | import org.springframework.beans.factory.annotation.Value; |
| | | import org.springframework.data.mongodb.core.MongoTemplate; |
| | | import org.springframework.data.mongodb.core.query.Criteria; |
| | | import org.springframework.data.mongodb.core.query.Query; |
| | | import org.springframework.data.redis.core.RedisTemplate; |
| | | import org.springframework.http.HttpStatus; |
| | | import org.springframework.http.HttpStatusCode; |
| | | import org.springframework.http.ResponseEntity; |
| | | import org.springframework.stereotype.Component; |
| | | import org.springframework.util.CollectionUtils; |
| | | |
| | | import java.io.IOException; |
| | | import java.net.InetAddress; |
| | | import java.text.SimpleDateFormat; |
| | | import java.util.*; |
| | | import java.util.concurrent.*; |
| | | import java.util.function.Function; |
| | | import java.util.stream.Collectors; |
| | | import java.util.stream.Stream; |
| | | |
| | | //优云对接数据任务 |
| | | @Slf4j |
| | | @Component("UYTask") |
| | | @RequiredArgsConstructor |
| | | public class UYTask { |
| | | |
| | | private final RedisTemplate redisTemplate; |
| | | private final MongoTemplate mongoTemplate; |
| | | private final UYClient uyClient; |
| | | private final UYErrorTypeCheckService uyErrorTypeCheckService; |
| | | private final YwPointService pointService; |
| | | private final TMonitorMapper monitorMapper; |
| | | private final SelfHttpUtil selfHttpUtil; |
| | | private final RedisTemplate redisTemplate; |
| | | private final WorkOrderService workOrderService; |
| | | private final WorkOrderMapper workOrderMapper; |
| | | private final SysConfigMapper sysConfigMapper; |
| | | |
| | | private final CheckPointUtil checkPointUtil; |
| | | @Value("${youYun.tenantId}") |
| | | private String tenantId; |
| | | @Value("${youYun.apikey}") |
| | |
| | | private String passwd; |
| | | |
| | | private static final ExecutorService executorService = new ThreadPoolExecutor(16, |
| | | 128, |
| | | 64, |
| | | 5000, |
| | | TimeUnit.SECONDS, |
| | | new ArrayBlockingQueue<>(1000), |
| | |
| | | item.setNo(item.getDeviceId()); |
| | | } |
| | | }); |
| | | pointService.setDeviceTagByGB(records); |
| | | pointService.setDeviceTagByGB(records, CheckConstants.Rule_Category_Video); |
| | | //存放在mongo中 |
| | | mongoTemplate.insertAll(records); |
| | | // 工单生成 |
| | |
| | | item.setNo(item.getSerialNumber().getShowValue()); |
| | | } |
| | | }); |
| | | pointService.setDeviceTagByGB(records); |
| | | pointService.setDeviceTagByGB(records,CheckConstants.Rule_Category_Or); |
| | | pointService.setNew(records); |
| | | //存放在mongo中 |
| | | mongoTemplate.insertAll(records); |
| | |
| | | } |
| | | |
| | | /** |
| | | * 点位在线检测 |
| | | * 点位在线PING检测 |
| | | * 任务会先执行一次优云同步,然后执行ping检测 |
| | | * online字段来自于优云,pingOnline为主动ping检测的。存入mongo给数据中心查阅 |
| | | */ |
| | | public void pointOnline() throws ExecutionException, InterruptedException { |
| | | log.info("开始检测点位在线"); |
| | |
| | | } else { |
| | | log.error("请配置离线次数,此次设置为默认值2"); |
| | | } |
| | | // 先查出设备IP集合 |
| | | List<TMonitor> monitorList = monitorMapper.getDistinctIP(); |
| | | List<Future<OnlineThreadVO>> futureList = new ArrayList<>(48); |
| | | List<OnlineThreadVO> dataList = new ArrayList<>(48); |
| | | for (TMonitor monitor : monitorList) { |
| | | OnlineCheckThread thread = new OnlineCheckThread(monitor, redisTemplate, selfHttpUtil, times); |
| | | Future<OnlineThreadVO> future = executorService.submit(thread); |
| | | futureList.add(future); |
| | | // 先查出设备IP集合,剔除掉在线情况是未知的,并且只检测正在考核的设备避免多余工单 |
| | | List<TMonitorResult> monitorList = monitorMapper.getDistinctIP(); |
| | | //补充错误时间点 |
| | | Query onlineQuery = new Query(Criteria.where("mongoCreateTime").gte(DateUtils.getDayStart(new Date())).lt(DateUtils.getDayEnd(new Date()))); |
| | | Map<String, TMonitorResult> mongoMap = mongoTemplate.find(onlineQuery, TMonitorResult.class) |
| | | .stream() |
| | | .collect(Collectors.toMap(TMonitorResult::getNo, Function.identity(), (existing, replacement) -> replacement)); |
| | | for (TMonitorResult result : monitorList) { |
| | | TMonitorResult mongoData = mongoMap.get(result.getNo()); |
| | | if(mongoData!=null){ |
| | | result.setOffLineTimeStr(mongoData.getOffLineTimeStr()); |
| | | } |
| | | } |
| | | for (Future<OnlineThreadVO> future : futureList) { |
| | | dataList.add(future.get()); // get方法会阻塞,知道拿到结果才继续执行for |
| | | } |
| | | |
| | | // 更新point表的在线标识 |
| | | Date now = new Date(); |
| | | List<UpdateOnlineVO> willUpdateList = dataList.stream().map(item -> { |
| | | UpdateOnlineVO vo = new UpdateOnlineVO(); |
| | | vo.setOnline(item.getOnline()); |
| | | vo.setIp(item.getIp()); |
| | | vo.setUpdateTime(now); |
| | | return vo; |
| | | }).collect(Collectors.toList()); |
| | | monitorMapper.updateOnline(willUpdateList); |
| | | |
| | | // 工单 |
| | | List<WorkOrder> workOrderList = dataList.stream() |
| | | .filter(item -> Objects.nonNull(item.getWorkOrder())) |
| | | .map(OnlineThreadVO::getWorkOrder) |
| | | List<TMonitorResult> dataList = new ArrayList<>(48); |
| | | Integer time = times; |
| | | List<CompletableFuture<TMonitorResult>> futureList = monitorList.stream() |
| | | .map(monitor -> CompletableFuture.supplyAsync(() -> { |
| | | OnlineCheckThread thread = new OnlineCheckThread(monitor, checkPointUtil, time); |
| | | return thread.call(); // 假设 OnlineCheckThread 实现了 Callable 接口 |
| | | }, executorService) |
| | | .orTimeout(180, TimeUnit.SECONDS) |
| | | .exceptionally(ex -> { |
| | | if (ex instanceof TimeoutException) { |
| | | log.error("任务执行超时:"+monitor.getIp()); |
| | | } else { |
| | | log.error("任务执行异常:"+monitor.getIp() +ex); |
| | | ex.printStackTrace(); |
| | | } |
| | | return null; |
| | | })) |
| | | .collect(Collectors.toList()); |
| | | if (CollectionUtils.isEmpty(workOrderList)) { |
| | | return; |
| | | |
| | | // 等待所有任务完成,但不会无限期等待 |
| | | CompletableFuture<Void> allOf = CompletableFuture.allOf( |
| | | futureList.toArray(new CompletableFuture[0]) |
| | | ); |
| | | try { |
| | | allOf.get(60, TimeUnit.SECONDS); // 给予额外的5秒来收集结果 |
| | | } catch (TimeoutException e) { |
| | | log.error("部分任务未在指定时间内完成"); |
| | | } catch (Exception e2){ |
| | | log.error("数据收集异常"+e2); |
| | | } |
| | | workOrderService.innerAddWorkOrder(workOrderList); |
| | | |
| | | dataList = futureList.stream() |
| | | .map(CompletableFuture::join) |
| | | .filter(Objects::nonNull) |
| | | .collect(Collectors.toList()); |
| | | |
| | | Date now = new Date(); |
| | | List<String> offLineList = new ArrayList<>(); |
| | | List<String> onLineList = new ArrayList<>(); |
| | | //查出数据库纯车辆或纯人脸设备 |
| | | // List<String> serialNumbers = monitorMapper.selectCarOrFace().stream().map(TMonitor::getSerialNumber).collect(Collectors.toList()); |
| | | dataList.forEach(item->{ |
| | | if(item.getPingOnline()) { |
| | | onLineList.add(item.getIp()); |
| | | } else if(!item.getPingOnline()) { |
| | | //筛选出ping离线的设备,更改数据库为离线 |
| | | offLineList.add(item.getIp()); |
| | | } |
| | | }); |
| | | if(!CollectionUtils.isEmpty(offLineList)) { |
| | | monitorMapper.batchUpdateOnline(offLineList, now, ApiConstants.UY_OnlineSite_Offline); |
| | | } |
| | | if(!CollectionUtils.isEmpty(onLineList)) { |
| | | monitorMapper.batchUpdateOnline(onLineList, now, ApiConstants.UY_OnlineSite_Online); |
| | | } |
| | | //存放到mongo |
| | | if (!CollectionUtils.isEmpty(dataList)) { |
| | | List<TMonitorResult> mongoList = new ArrayList<>(); |
| | | dataList.forEach(item->{ |
| | | String monitorType = item.getMonitorType(); |
| | | //同一个设备多个类型每个类型存一条数据,以此在保留数据的情况下区分省厅标签 |
| | | if(StringUtils.isNotEmpty(monitorType)){ |
| | | String[] monitors = monitorType.split("/"); |
| | | for (String type : monitors) { |
| | | TMonitorResult mongoData = new TMonitorResult(); |
| | | BeanUtils.copyProperties(item,mongoData); |
| | | mongoData.setMonitorType(type); |
| | | if("1".equals(type)){ |
| | | mongoData.setProvinceTag(mongoData.getProvinceTagVideo()); |
| | | }else if("2".equals(type)){ |
| | | mongoData.setProvinceTag(mongoData.getProvinceTagCar()); |
| | | }else if("3".equals(type)){ |
| | | mongoData.setProvinceTag(mongoData.getProvinceTagFace()); |
| | | } |
| | | mongoList.add(mongoData); |
| | | } |
| | | } |
| | | }); |
| | | //如果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()))); |
| | | DeleteResult result = mongoTemplate.remove(query, TMonitorResult.class); |
| | | //存放在mongo中 |
| | | mongoTemplate.insertAll(mongoList); |
| | | } |
| | | //工单(同一IP只生成一个工单) |
| | | //查询数据库已存在的离线工单获取ip集合,剔除 |
| | | List<String> ips = workOrderMapper.getOfflineWorkOrder(); |
| | | List<WorkOrder> workOrderList = dataList.stream() |
| | | .filter(item -> Objects.nonNull(item.getWorkOrder()) && (CollectionUtils.isEmpty(ips) || !ips.contains(item.getIp()))) |
| | | .collect(Collectors.toMap( |
| | | TMonitorResult::getIp, |
| | | Function.identity(), |
| | | (existing, replacement) -> existing // 如果遇到相同的 IP,保留第一个 TMonitorResult 对象 |
| | | )) |
| | | .values() |
| | | .stream() |
| | | .map(TMonitorResult::getWorkOrder) |
| | | .collect(Collectors.toList()); |
| | | if (!CollectionUtils.isEmpty(workOrderList)) { |
| | | workOrderService.innerAddWorkOrder(workOrderList); |
| | | } |
| | | log.info("点位在线监测完成"); |
| | | } |
| | | |
| | | //点位在线率 |
| | | //点位在线率(优云) |
| | | public void videoOnlineTask() { |
| | | //视频图像质量 |
| | | log.info("开始执行点位在线数据同步"); |
| | |
| | | Query query = new Query(Criteria |
| | | .where("mongoCreateTime").gte(DateUtils.getDayStart(new Date())).lt(DateUtils.getDayEnd(new Date()))); |
| | | DeleteResult result = mongoTemplate.remove(query, VideoOnlineResult.class); |
| | | //打标签 |
| | | records.forEach(item -> { |
| | | if (Objects.nonNull(item.getDeviceId())) { |
| | | item.setNo(item.getDeviceId()); |
| | | } |
| | | }); |
| | | pointService.setDeviceTagByGB(records,CheckConstants.Rule_Category_Video); |
| | | //存放在mongo中 |
| | | mongoTemplate.insertAll(records); |
| | | // 工单生成 |
| | | uyErrorTypeCheckService.videoOnlineCheck(records); |
| | | //更新point表在线状态 |
| | | Date now = new Date(); |
| | | List<UpdateOnlineVO> willUpdateList = records.stream().map(item -> { |
| | | UpdateOnlineVO vo = new UpdateOnlineVO(); |
| | | vo.setOnline(item.getStatus()); |
| | | vo.setIp(item.getIpAddr()); |
| | | vo.setUpdateTime(now); |
| | | return vo; |
| | | }).collect(Collectors.toList()); |
| | | monitorMapper.updateOnlineFromUyOrHk(willUpdateList); |
| | | //离线生成工单,一个ip只生成一个工单 |
| | | List<VideoOnlineResult> workOrders = new ArrayList<>(records.stream() |
| | | .filter(item -> ApiConstants.UY_OnlineSite_Offline.equals(item.getStatus())) |
| | | .collect(Collectors.toMap( |
| | | VideoOnlineResult::getIpAddr, |
| | | Function.identity(), |
| | | (existing, replacement) -> existing // 如果遇到相同的 IP,保留第一个(existing) |
| | | )).values()); |
| | | uyErrorTypeCheckService.videoOnlineCheck(workOrders); |
| | | } else { |
| | | log.error("点位在线结果数据为空{}", data); |
| | | } |
| | |
| | | item.setNo(item.getDeviceId()); |
| | | } |
| | | }); |
| | | pointService.setDeviceTagByGB(records); |
| | | //打标签 |
| | | pointService.setDeviceTagByGB(records,CheckConstants.Rule_Category_Video); |
| | | //存放在mongo中 |
| | | mongoTemplate.insertAll(records); |
| | | // 工单生成 |
| | | uyErrorTypeCheckService.recordMetaDSumCheck(records); |
| | | // // 工单生成 |
| | | // uyErrorTypeCheckService.recordMetaDSumCheck(records); |
| | | } |
| | | } else { |
| | | log.error("录像可用数据为空{}", jsonObject); |
| | |
| | | // uyErrorTypeCheckService.recordMetaDSumCheck(mongoTemplate.find(query, RecordMetaDSumResult.class)); |
| | | log.info("结束执行录像可用数据同步"); |
| | | } |
| | | |
| | | |
| | | |
| | | } |