feat(timer): 添加MQTT心跳检测定时器并优化数据处理
- 新增MqttHeartCheckTimer定时器,每小时轮询在线设备并进行心跳检测 - 在CsEquipmentDeliveryService中添加getUseOnlineDevice方法获取启用且在线的MQTT设备
This commit is contained in:
@@ -7,10 +7,7 @@ import com.alibaba.nacos.shaded.com.google.gson.Gson;
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import com.github.tocrhz.mqtt.publisher.MqttPublisher;
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import com.njcn.access.enums.AccessEnum;
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import com.njcn.access.pojo.dto.NoticeUserDto;
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import com.njcn.access.service.ICsDeviceOnlineLogsService;
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import com.njcn.access.service.ICsEquipmentDeliveryService;
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import com.njcn.access.service.impl.CsDeviceServiceImpl;
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import com.njcn.access.utils.MqttUtil;
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import com.njcn.access.utils.RedisSetUtil;
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import com.njcn.access.utils.SendMessageUtil;
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import com.njcn.common.pojo.dto.DeviceLogDTO;
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@@ -22,9 +19,6 @@ import com.njcn.csdevice.pojo.po.CsEquipmentDeliveryPO;
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import com.njcn.redis.pojo.enums.AppRedisKey;
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import com.njcn.redis.utils.RedisUtil;
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import com.njcn.rt.pojo.dto.BaseRealDataSet;
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import com.njcn.user.api.AppInfoSetFeignClient;
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import com.njcn.user.api.AppUserFeignClient;
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import com.njcn.user.api.UserFeignClient;
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import com.njcn.user.pojo.po.User;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.StringUtils;
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@@ -53,24 +47,12 @@ public class RedisKeyExpirationListener extends KeyExpirationEventMessageListene
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@Resource
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private ICsEquipmentDeliveryService csEquipmentDeliveryService;
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@Resource
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private CsDeviceServiceImpl csDeviceService;
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@Resource
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private CsLogsFeignClient csLogsFeignClient;
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@Resource
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private ICsDeviceOnlineLogsService onlineLogsService;
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@Resource
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private MqttUtil mqttUtil;
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@Resource
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private CsLedgerFeignClient csLedgerFeignclient;
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@Resource
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private EquipmentFeignClient equipmentFeignClient;
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@Resource
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private AppUserFeignClient appUserFeignClient;
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@Resource
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private CsDeviceUserFeignClient csDeviceUserFeignClient;
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@Resource
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private UserFeignClient userFeignClient;
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@Resource
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private RedisUtil redisUtil;
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@Resource
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private SendMessageUtil sendMessageUtil;
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@@ -81,20 +63,12 @@ public class RedisKeyExpirationListener extends KeyExpirationEventMessageListene
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@Resource
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private RedisSetUtil redisSetUtil;
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@Resource
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private AppInfoSetFeignClient appInfoSetFeignClient;
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@Resource
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private DeviceMessageFeignClient deviceMessageFeignClient;
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private final Object lock = new Object();
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public RedisKeyExpirationListener(RedisMessageListenerContainer listenerContainer) {
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super(listenerContainer);
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}
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//最大告警次数
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private static int MAX_WARNING_TIMES = 0;
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/**
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* 针对redis数据失效事件,进行数据处理
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* 注意message.toString()可以获取失效的key
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@@ -124,13 +98,6 @@ public class RedisKeyExpirationListener extends KeyExpirationEventMessageListene
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});
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}
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}
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//云前置设备心跳丢失处理
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// if(expiredKey.startsWith(RedisKeyEnum.CLD_HEART_BEAT_KEY.getKey())){
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// String node = expiredKey.split(":")[1];
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// String nodeId = node.substring(0, node.length() - 1);
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// int processNo = Integer.parseInt(node.substring(node.length() - 1));
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// equipmentFeignClient.updateCldDevStatus(nodeId,processNo);
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// }
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}
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//主任务
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@@ -161,74 +161,4 @@ public class AutoAccessTimer implements ApplicationRunner {
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}
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}
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// @Override
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// public void run(ApplicationArguments args) {
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// if (scheduler.isShutdown() || scheduler.isTerminated()) {
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// scheduler = Executors.newScheduledThreadPool(1);
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// }
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// Runnable task = () -> {
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// log.info("轮询定时任务执行中!");
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// List<CsEquipmentDeliveryPO> list = csEquipmentDeliveryService.getOfflineDev();
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// if (CollUtil.isNotEmpty(list)) {
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// ExecutorService executor = Executors.newFixedThreadPool(10);
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// // 将任务平均分配给10个子列表
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// List<List<CsEquipmentDeliveryPO>> subLists = CollUtil.split(list, 10);
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// // 创建一个ExecutorService来处理这些任务
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// List<Future<Void>> futures = new ArrayList<>();
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// for (List<CsEquipmentDeliveryPO> subList : subLists) {
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// futures.add(executor.submit(() -> {
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// try {
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// accessDev(subList);
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// } catch (Exception e) {
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// log.error("处理设备子列表异常,但继续处理其他任务", e);
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// }
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// return null;
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// }));
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// }
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// // 等待所有任务完成
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// for (Future<Void> future : futures) {
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// try {
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// future.get();
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// } catch (InterruptedException e) {
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// Thread.currentThread().interrupt();
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// log.error("任务被中断", e);
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// } catch (ExecutionException e) {
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// log.error("任务执行异常", e.getCause());
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// } catch (Exception e) {
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// log.error("系统异常", e.getCause());
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// }
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// }
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// // 关闭ExecutorService
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// executor.shutdown();
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// }
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// };
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// //第一次执行的时间为120s,然后在前一个任务执行完毕后,等待120s再执行下一个任务
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// scheduler.scheduleWithFixedDelay(task, AUTO_TIME, AUTO_TIME, TimeUnit.SECONDS);
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// }
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//
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// public void accessDev(List<CsEquipmentDeliveryPO> list) {
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// if (CollUtil.isNotEmpty(list)) {
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// try {
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// list.forEach(item -> {
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// System.out.println(Thread.currentThread().getName() + ": auto : nDid : " + item.getNdid());
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// //判断设备类型 便携式设备需要特殊处理 未注册的要先注册、再接入;已注册的直接重新接入
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// String code = dictTreeFeignClient.queryById(item.getDevType()).getData().getCode();
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// if (Objects.equals(code, DicDataEnum.PORTABLE.getCode()) && Objects.equals(item.getStatus(), 1)) {
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// //csDeviceService.wlDevRegister(item.getNdid());
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// log.info("请先手动注册、接入");
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// } else {
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// String version = csTopicService.getVersion(item.getNdid());
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// if (Objects.isNull(version)) {
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// version = "V1";
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// }
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// csDeviceService.autoAccess(item.getNdid(), version, 1);
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// }
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// redisUtil.saveByKey(AppRedisKey.DEVICE_MID + item.getNdid(), 1);
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// });
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// } catch (Exception e) {
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// log.error(e.getMessage());
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// }
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// }
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// }
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}
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@@ -0,0 +1,190 @@
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package com.njcn.access.runner;
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import cn.hutool.core.collection.CollUtil;
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import com.njcn.access.service.ICsEquipmentDeliveryService;
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import com.njcn.csdevice.pojo.po.CsEquipmentDeliveryPO;
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import com.njcn.redis.utils.RedisUtil;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.boot.ApplicationArguments;
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import org.springframework.boot.ApplicationRunner;
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import org.springframework.stereotype.Component;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.concurrent.*;
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/**
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* @author xy
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* 定时1小时轮询设备列表,并使用多线程进行业务处理
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* 1. 定时查询所有设备列表
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* 2. 使用多线程处理每个设备的业务逻辑
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* 3. 处理完成后释放资源
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*/
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@Component
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@Slf4j
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@RequiredArgsConstructor
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public class MqttHeartCheckTimer implements ApplicationRunner {
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private final ICsEquipmentDeliveryService csEquipmentDeliveryService;
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private final RedisUtil redisUtil;
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private ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(1);
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// 1小时间隔
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private static final long INTERVAL_MINUTES = 60L;
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@Override
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public void run(ApplicationArguments args) {
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if (scheduler.isShutdown() || scheduler.isTerminated()) {
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scheduler = Executors.newScheduledThreadPool(1);
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}
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Runnable task = () -> {
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try {
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executeScheduledTask();
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} catch (Throwable t) {
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log.error("定时设备处理任务发生严重异常", t);
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}
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};
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// 每小时执行一次
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ScheduledFuture<?> future = scheduler.scheduleWithFixedDelay(
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task,
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0,
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INTERVAL_MINUTES,
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TimeUnit.MINUTES
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);
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// 添加监控,如果任务被取消则重新调度
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monitorScheduledTask(future);
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}
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/**
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* 监控定时任务
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*/
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private void monitorScheduledTask(ScheduledFuture<?> future) {
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Thread monitorThread = new Thread(() -> {
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while (!Thread.currentThread().isInterrupted()) {
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try {
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// 每10分钟检查一次任务状态
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Thread.sleep(600000);
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if (future.isCancelled() || future.isDone()) {
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log.warn("定时设备处理任务被取消或完成,重新调度...");
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// 重新启动任务
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run(null);
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break;
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}
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} catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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log.warn("监控线程被中断");
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break;
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} catch (Exception e) {
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log.error("监控任务异常", e);
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}
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}
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}, "Device-Processor-Monitor-Thread");
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monitorThread.setDaemon(true);
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monitorThread.start();
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}
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/**
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* 执行定时任务的主要逻辑
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*/
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private void executeScheduledTask() {
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log.info("开始执行定时设备处理任务(查看在线设备和心跳数据是否一致) - 时间: {}", System.currentTimeMillis());
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try {
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// 查询所有设备列表
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List<CsEquipmentDeliveryPO> deviceList = csEquipmentDeliveryService.getUseOnlineDevice();
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if (CollUtil.isEmpty(deviceList)) {
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log.info("设备列表为空,跳过处理");
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return;
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}
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log.info("查询到 {} 个设备,开始多线程处理", deviceList.size());
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// 创建线程池进行多线程处理,根据设备数量动态调整线程数
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// 最大10个线程
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int threadCount = Math.min(deviceList.size(), 10);
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ExecutorService executor = Executors.newFixedThreadPool(threadCount);
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try {
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// 将设备列表分批处理,每批处理一定数量的设备
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List<List<CsEquipmentDeliveryPO>> batches = CollUtil.split(deviceList, threadCount);
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List<Future<Void>> futures = new ArrayList<>();
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for (List<CsEquipmentDeliveryPO> batch : batches) {
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futures.add(executor.submit(() -> {
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try {
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processDeviceBatch(batch);
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} catch (Exception e) {
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log.error("处理设备批次异常", e);
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}
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return null;
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}));
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}
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// 等待所有任务完成,设置超时时间防止长时间阻塞
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for (Future<Void> future : futures) {
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try {
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// 设置10分钟超时
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future.get(10, TimeUnit.MINUTES);
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} catch (TimeoutException e) {
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log.error("设备批次处理超时", e);
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} catch (Exception e) {
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log.error("设备批次处理异常", e);
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}
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}
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} finally {
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executor.shutdown();
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try {
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if (!executor.awaitTermination(2, TimeUnit.MINUTES)) {
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log.warn("设备处理线程池未在规定时间内关闭,强制关闭");
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executor.shutdownNow();
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}
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} catch (InterruptedException e) {
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log.warn("等待线程池关闭时被中断");
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executor.shutdownNow();
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Thread.currentThread().interrupt();
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}
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}
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log.info("设备批量处理任务完成 - 时间: {}", System.currentTimeMillis());
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} catch (Exception e) {
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log.error("执行设备处理任务异常", e);
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}
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}
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/**
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* 批量处理设备
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*/
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private void processDeviceBatch(List<CsEquipmentDeliveryPO> deviceBatch) {
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if (CollUtil.isEmpty(deviceBatch)) {
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return;
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}
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for (CsEquipmentDeliveryPO device : deviceBatch) {
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try {
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processSingleDevice(device);
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} catch (Exception e) {
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log.error("处理单个设备失败: 设备ID={}, 错误={}", device.getNdid(), e.getMessage(), e);
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}
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}
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}
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/**
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* 处理单个设备的业务逻辑
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* 注意:这里需要根据实际业务需求实现具体的业务逻辑
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*/
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private void processSingleDevice(CsEquipmentDeliveryPO device) {
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log.info("正在处理设备: {}", device.getNdid());
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// 1. 检查设备在Redis中的状态
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String deviceKey = "MQTT:" + device.getNdid();
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Object deviceStatus = redisUtil.getObjectByKey(deviceKey);
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// 2. 如果没有心跳,则模拟补充个心跳
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if (deviceStatus == null) {
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// 如果Redis中没有该设备的状态信息,可以设置默认值或执行相应处理
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redisUtil.saveByKeyWithExpire(deviceKey, device.getNdid(), 100L);
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}
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log.info("设备处理完成: {}", device.getNdid());
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}
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}
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@@ -65,6 +65,11 @@ public interface ICsEquipmentDeliveryService extends IService<CsEquipmentDeliver
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*/
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List<CsEquipmentDeliveryPO> getOnlineDev();
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/**
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* 获取启用、系统在线、MQTT接入的装置
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*/
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List<CsEquipmentDeliveryPO> getUseOnlineDevice();
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/**
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* 获取离线、启用、客户端在线的装置
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*/
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@@ -17,10 +17,7 @@ import lombok.RequiredArgsConstructor;
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import org.springframework.beans.BeanUtils;
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import org.springframework.stereotype.Service;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Objects;
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import java.util.*;
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import java.util.stream.Collectors;
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/**
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@@ -126,6 +123,15 @@ public class CsEquipmentDeliveryServiceImpl extends ServiceImpl<CsEquipmentDeliv
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return result;
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}
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@Override
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public List<CsEquipmentDeliveryPO> getUseOnlineDevice() {
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return this.lambdaQuery()
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.eq(CsEquipmentDeliveryPO::getRunStatus,AccessEnum.ONLINE.getCode())
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.eq(CsEquipmentDeliveryPO::getDevAccessMethod,"MQTT")
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.eq(CsEquipmentDeliveryPO::getUsageStatus,1)
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.list();
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}
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@Override
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public List<CsEquipmentDeliveryPO> getOfflineDev() {
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List<CsEquipmentDeliveryPO> result = new ArrayList<>();
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@@ -152,7 +152,7 @@ public class StatServiceImpl implements IStatService {
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}
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if (CollectionUtil.isNotEmpty(recordList)){
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//influx数据批量入库
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influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, recordList);
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influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.SECONDS, recordList);
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//记录监测点最新数据时间
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CsLineLatestData csLineLatestData = new CsLineLatestData();
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csLineLatestData.setLineId(lineId);
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@@ -192,23 +192,40 @@ public class StatServiceImpl implements IStatService {
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*/
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public List<String> assembleData(String lineId,List<CsDataArray> dataArrayList,AppAutoDataMessage.DataArray item,Integer clDid,String statMethod,Integer process,String devType,String accessMethod) {
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List<String> records = new ArrayList<String>();
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//解码
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List<Float> floats = PubUtils.byteArrayToFloatList(Base64.getDecoder().decode(item.getData()));
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if (CollectionUtil.isEmpty(floats)){
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throw new BusinessException(StatResponseEnum.AUTO_DATA_NULL);
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}
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//校验模板和解码数据数量能否对应上
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if (!Objects.equals(dataArrayList.size(),floats.size())){
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throw new BusinessException(StatResponseEnum.ARRAY_DATA_NOT_MATCH);
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}
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Map<String,String> map = new Gson().fromJson(String.valueOf(redisUtil.getObjectByKey(AppRedisKey.ELE_EPD_PQD)), Map.class);
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boolean flag = Objects.equals(DicDataEnum.DEV_CLD.getCode(), devType) && Objects.equals(accessMethod, "CLD");
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||||
//fixme 捂脸设备上送的是北京时间,时序数据库录入时 需要utc时间,减去8小时
|
||||
long originalTimeSec = flag ? item.getDataTimeSec() : item.getDataTimeSec() - 8 * 3600;
|
||||
if (originalTimeSec < 0) {
|
||||
System.out.println("originalTimeSec==:" + originalTimeSec);
|
||||
}
|
||||
|
||||
for (int i = 0; i < dataArrayList.size(); i++) {
|
||||
String tableName = map.get(dataArrayList.get(i).getName());
|
||||
long adjustedTimeSec;
|
||||
|
||||
//短时闪变 || 电压波动 10分钟
|
||||
if (Objects.equals(tableName,"data_flicker") || Objects.equals(tableName,"data_fluc")) {
|
||||
adjustedTimeSec = (originalTimeSec / 600) * 600;
|
||||
}
|
||||
//长时闪变 2小时
|
||||
else if (Objects.equals(tableName,"data_plt")) {
|
||||
adjustedTimeSec = (originalTimeSec / 7200) * 7200;
|
||||
}
|
||||
else {
|
||||
adjustedTimeSec = originalTimeSec;
|
||||
}
|
||||
Map<String, String> tags = new HashMap<>();
|
||||
tags.put(InfluxDBTableConstant.LINE_ID,lineId);
|
||||
tags.put(InfluxDBTableConstant.PHASIC_TYPE,dataArrayList.get(i).getPhase());
|
||||
//todo 不清楚之前为啥要修改相别,这边按字典配置相别无法查询到数据,先改回来
|
||||
//tags.put(InfluxDBTableConstant.PHASIC_TYPE,Objects.isNull(PHASE_MAPPING.get(dataArrayList.get(i).getPhase()))?dataArrayList.get(i).getPhase():PHASE_MAPPING.get(dataArrayList.get(i).getPhase()));
|
||||
tags.put(InfluxDBTableConstant.VALUE_TYPE,statMethod);
|
||||
tags.put(InfluxDBTableConstant.CL_DID,clDid.toString());
|
||||
tags.put(InfluxDBTableConstant.PROCESS,process.toString());
|
||||
@@ -217,9 +234,8 @@ public class StatServiceImpl implements IStatService {
|
||||
//这边特殊处理,如果数据为3.14159,则将数据置为null
|
||||
fields.put(dataArrayList.get(i).getName(),Objects.equals(floats.get(i),3.14159f) ? null:floats.get(i));
|
||||
fields.put(InfluxDBTableConstant.IS_ABNORMAL,item.getDataTag());
|
||||
//fixme 设备上送的是北京时间,时序数据库录入时 需要utc时间,减去8小时
|
||||
boolean flag = Objects.equals(DicDataEnum.DEV_CLD.getCode(), devType) && Objects.equals(accessMethod, "CLD");
|
||||
Point point = influxDbUtils.pointBuilder(tableName, flag?item.getDataTimeSec():item.getDataTimeSec()-8*3600, TimeUnit.SECONDS, tags, fields);
|
||||
|
||||
Point point = influxDbUtils.pointBuilder(tableName, adjustedTimeSec, TimeUnit.SECONDS, tags, fields);
|
||||
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
|
||||
batchPoints.point(point);
|
||||
records.add(batchPoints.lineProtocol());
|
||||
@@ -227,6 +243,43 @@ public class StatServiceImpl implements IStatService {
|
||||
return records;
|
||||
}
|
||||
|
||||
// public List<String> assembleData(String lineId,List<CsDataArray> dataArrayList,AppAutoDataMessage.DataArray item,Integer clDid,String statMethod,Integer process,String devType,String accessMethod) {
|
||||
// List<String> records = new ArrayList<String>();
|
||||
// //解码
|
||||
// List<Float> floats = PubUtils.byteArrayToFloatList(Base64.getDecoder().decode(item.getData()));
|
||||
// if (CollectionUtil.isEmpty(floats)){
|
||||
// throw new BusinessException(StatResponseEnum.AUTO_DATA_NULL);
|
||||
// }
|
||||
// //校验模板和解码数据数量能否对应上
|
||||
// if (!Objects.equals(dataArrayList.size(),floats.size())){
|
||||
// throw new BusinessException(StatResponseEnum.ARRAY_DATA_NOT_MATCH);
|
||||
// }
|
||||
// Map<String,String> map = new Gson().fromJson(String.valueOf(redisUtil.getObjectByKey(AppRedisKey.ELE_EPD_PQD)), Map.class);
|
||||
// for (int i = 0; i < dataArrayList.size(); i++) {
|
||||
// String tableName = map.get(dataArrayList.get(i).getName());
|
||||
// Map<String, String> tags = new HashMap<>();
|
||||
// tags.put(InfluxDBTableConstant.LINE_ID,lineId);
|
||||
// tags.put(InfluxDBTableConstant.PHASIC_TYPE,dataArrayList.get(i).getPhase());
|
||||
// //todo 不清楚之前为啥要修改相别,这边按字典配置相别无法查询到数据,先改回来
|
||||
// //tags.put(InfluxDBTableConstant.PHASIC_TYPE,Objects.isNull(PHASE_MAPPING.get(dataArrayList.get(i).getPhase()))?dataArrayList.get(i).getPhase():PHASE_MAPPING.get(dataArrayList.get(i).getPhase()));
|
||||
// tags.put(InfluxDBTableConstant.VALUE_TYPE,statMethod);
|
||||
// tags.put(InfluxDBTableConstant.CL_DID,clDid.toString());
|
||||
// tags.put(InfluxDBTableConstant.PROCESS,process.toString());
|
||||
// tags.put(InfluxDBTableConstant.QUALITY_FLAG,"0");
|
||||
// Map<String,Object> fields = new HashMap<>();
|
||||
// //这边特殊处理,如果数据为3.14159,则将数据置为null
|
||||
// fields.put(dataArrayList.get(i).getName(),Objects.equals(floats.get(i),3.14159f) ? null:floats.get(i));
|
||||
// fields.put(InfluxDBTableConstant.IS_ABNORMAL,item.getDataTag());
|
||||
// //fixme 设备上送的是北京时间,时序数据库录入时 需要utc时间,减去8小时
|
||||
// boolean flag = Objects.equals(DicDataEnum.DEV_CLD.getCode(), devType) && Objects.equals(accessMethod, "CLD");
|
||||
// Point point = influxDbUtils.pointBuilder(tableName, flag?item.getDataTimeSec():item.getDataTimeSec()-8*3600, TimeUnit.SECONDS, tags, fields);
|
||||
// BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
|
||||
// batchPoints.point(point);
|
||||
// records.add(batchPoints.lineProtocol());
|
||||
// }
|
||||
// return records;
|
||||
// }
|
||||
|
||||
public List<CsDataArray> objectToList(Object object) {
|
||||
List<CsDataArray> urlList = new ArrayList<>();
|
||||
if (object != null) {
|
||||
|
||||
Reference in New Issue
Block a user