| | |
| | | import java.text.SimpleDateFormat; |
| | | import java.util.*; |
| | | import java.util.concurrent.*; |
| | | import java.util.function.Function; |
| | | import java.util.stream.Collectors; |
| | | |
| | | //优云对接数据任务 |
| | |
| | | } |
| | | |
| | | /** |
| | | * 点位在线检测 |
| | | * 点位在线PING检测 |
| | | */ |
| | | 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 |
| | | // 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(); |
| | | // List<Future<TMonitorResult>> futureList = new ArrayList<>(48); |
| | | //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())); |
| | | for (TMonitorResult result : monitorList) { |
| | | TMonitorResult mongoData = mongoMap.get(result.getNo()); |
| | | if(mongoData!=null){ |
| | | result.setOffLineTimeStr(mongoData.getOffLineTimeStr()); |
| | | } |
| | | } |
| | | List<TMonitorResult> dataList = new ArrayList<>(48); |
| | | // for (TMonitorResult monitor : monitorList) { |
| | | // OnlineCheckThread thread = new OnlineCheckThread(monitor, checkPointUtil, times); |
| | | // Future<TMonitorResult> future = executorService.submit(thread); |
| | | // futureList.add(future); |
| | | // } |
| | | // for (Future<TMonitorResult> future : futureList) { |
| | | // dataList.add(future.get()); // get方法会阻塞,知道拿到结果才继续执行for |
| | | // } |
| | | 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(30, TimeUnit.SECONDS) |
| | | .orTimeout(60, TimeUnit.SECONDS) |
| | | .exceptionally(ex -> { |
| | | if (ex instanceof TimeoutException) { |
| | | log.error("任务执行超时:"); |
| | | log.error("任务执行超时:"+monitor.getIp()); |
| | | } else { |
| | | log.error("任务执行异常:" + ex); |
| | | log.error("任务执行异常:"+monitor.getIp() +ex); |
| | | ex.printStackTrace(); |
| | | } |
| | | int checkTimes = 1; |
| | | int offLineTimes = 1; |
| | | Map<String, Object> map = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstant.ONLINE_KEY, monitor.getIp()); |
| | | if (!CollectionUtils.isEmpty(map)) { |
| | | checkTimes = (Integer) map.get("checkTimes") + 1; |
| | | offLineTimes = (Integer) map.get("offLineTimes"); |
| | | } |
| | | monitor.setOnline(Boolean.FALSE); |
| | | monitor.setCheckCount(checkTimes); |
| | | monitor.setOffLineCount(offLineTimes); |
| | | if (monitor.getOffLineCount() >= time) { |
| | | WorkOrder workOrder = new WorkOrder(); |
| | | workOrder.setSerialNumber(monitor.getNo()); |
| | | List<String> errList = new ArrayList<>(); |
| | | errList.add(ErrorType.DEVICE_OFFLINE.getValue()); |
| | | workOrder.setErrorTypeList(errList); |
| | | workOrder.setStatus(WorkOrderStatusEnum.DISTRIBUTED); |
| | | monitor.setWorkOrder(workOrder); |
| | | } |
| | | return monitor; // 返回失败的结果 |
| | | return null; |
| | | // int checkTimes = 1; |
| | | // int offLineTimes = 1; |
| | | // Map<String, Object> map = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstant.ONLINE_KEY, monitor.getNo()); |
| | | // if (!CollectionUtils.isEmpty(map)) { |
| | | // checkTimes = (Integer) map.get("checkTimes") + 1; |
| | | // offLineTimes = (Integer) map.get("offLineTimes"); |
| | | // }else { |
| | | // map = new HashMap<>(); |
| | | // } |
| | | // monitor.setPingOnline(Boolean.FALSE); |
| | | // monitor.setCheckCount(checkTimes); |
| | | // monitor.setOffLineCount(offLineTimes); |
| | | // List<Date> offLineTime = monitor.getOffLineTime(); |
| | | // if(CollectionUtils.isEmpty(offLineTime)) offLineTime = new ArrayList<>(); |
| | | // offLineTime.add(new Date()); |
| | | // monitor.setOffLineTime(offLineTime); |
| | | // if (monitor.getOffLineCount() >= time) { |
| | | // WorkOrder workOrder = new WorkOrder(); |
| | | // workOrder.setSerialNumber(monitor.getNo()); |
| | | // List<String> errList = new ArrayList<>(); |
| | | // errList.add(ErrorType.DEVICE_OFFLINE.getValue()); |
| | | // workOrder.setErrorTypeList(errList); |
| | | // workOrder.setStatus(WorkOrderStatusEnum.DISTRIBUTED); |
| | | // monitor.setWorkOrder(workOrder); |
| | | // } |
| | | // map.put("checkTimes", checkTimes); |
| | | // map.put("offLineTimes", offLineTimes); |
| | | // redisTemplate.opsForHash().put(RedisConstant.ONLINE_KEY, monitor.getNo(), map); |
| | | // return monitor; // 返回失败的结果 |
| | | |
| | | })) |
| | | .collect(Collectors.toList()); |
| | | |
| | |
| | | futureList.toArray(new CompletableFuture[0]) |
| | | ); |
| | | try { |
| | | allOf.get(35, TimeUnit.SECONDS); // 给予额外的5秒来收集结果 |
| | | allOf.get(60, TimeUnit.SECONDS); // 给予额外的5秒来收集结果 |
| | | } catch (TimeoutException e) { |
| | | log.warn("部分任务未在指定时间内完成"); |
| | | 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); |
| | | } |
| | | |
| | | dataList = futureList.stream() |
| | | .map(CompletableFuture::join) |
| | | .filter(result -> result != null) |
| | | .filter(Objects::nonNull) |
| | | .collect(Collectors.toList()); |
| | | // 更新point表的在线标识 |
| | | //筛选出ping离线的设备,更改数据库为离线,并且更新纯车辆或纯人脸的设备的在线状态(这部分设备不会拉流检测) |
| | | Date now = new Date(); |
| | | List<UpdateOnlineVO> willUpdateList = dataList.stream().map(item -> { |
| | | List<UpdateOnlineVO> onlineUpdateList = dataList.stream().map(item -> { |
| | | UpdateOnlineVO vo = new UpdateOnlineVO(); |
| | | vo.setOnline(item.getOnline()); |
| | | if(item.getPingOnline()) { |
| | | vo.setOnline(ApiConstants.UY_OnlineSite_Online); |
| | | }else if(!item.getPingOnline()){ |
| | | vo.setOnline(ApiConstants.UY_OnlineSite_Offline); |
| | | } |
| | | 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(TMonitorResult::getWorkOrder) |
| | | .collect(Collectors.toList()); |
| | | if (!CollectionUtils.isEmpty(workOrderList)) { |
| | | workOrderService.innerAddWorkOrder(workOrderList); |
| | | } |
| | | monitorMapper.updateOnline(onlineUpdateList); |
| | | //存放到mongo |
| | | if (!CollectionUtils.isEmpty(dataList)) { |
| | | //如果存在之前的数据先删除 |
| | |
| | | //存放在mongo中 |
| | | mongoTemplate.insertAll(dataList); |
| | | } |
| | | //工单(同一IP只生成一个工单) |
| | | List<WorkOrder> workOrderList = dataList.stream() |
| | | .filter(item -> Objects.nonNull(item.getWorkOrder())) |
| | | .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"); |
| | | } |
| | | |
| | | //(弃用)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); |
| | | //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.updateOnline(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()); |
| | | } |
| | | }); |
| | | //打标签 |
| | | pointService.setDeviceTagByGB(records); |
| | | //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); |