eemcs/mh-quartz/src/main/java/com/mh/quartz/task/DealDataTask.java

package com.mh.quartz.task;

import com.mh.common.constant.Constants;
import com.mh.common.core.domain.entity.CollectionParamsManage;
import com.mh.common.core.domain.entity.DeviceReport;
import com.mh.common.core.redis.RedisCache;
import com.mh.common.enums.ComputeEnum;
import com.mh.common.utils.DateUtils;
import com.mh.common.utils.StringUtils;
import com.mh.framework.dealdata.DataProcessService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.util.ObjectUtils;

import java.math.BigDecimal;
import java.time.*;
import java.time.temporal.ChronoUnit;
import java.time.temporal.TemporalUnit;
import java.util.*;
import java.util.stream.Collectors;

/**
 * @author LJF
 * @version 1.0
 * @project EEMCS
 * @description 处理上来的数据报文
 * @date 2025-02-10 14:19:36
 */
@Slf4j
@Component("dealDataTask")
public class DealDataTask {

    private final RedisCache redisCache;

    private final DataProcessService dataProcessService;

    @Autowired
    public DealDataTask(RedisCache redisCache, DataProcessService dataProcessService) {
        this.redisCache = redisCache;
        this.dataProcessService = dataProcessService;
    }

    /**
     *
     * 每隔5分钟处理生成秒级报表存入data_min中
     * 不要修改时间！！！不要修改时间！！！5分钟
     */
    public void dealDeviceData() {
        List<CollectionParamsManage> cacheList = redisCache.getCacheList(Constants.DEVICE, CollectionParamsManage.class);
        if (null == cacheList || cacheList.isEmpty()) {
            return;
        }
        //清空redis
        redisCache.deleteObject(Constants.DEVICE);
        //处理chillers数据
        try {
            //todo 处理没有对象curValue和curTime的异常
            dealDeviceCollect(cacheList);
        } catch (Exception e) {
            log.error("处理主机参数异常:{}", e);
        }

    }

    private void dealDeviceCollect(List<CollectionParamsManage> cacheList) {
        // 先根据表具类型进行分组
        Map<String, List<CollectionParamsManage>> groupMap = cacheList
                .stream()
                .collect(Collectors.groupingBy(CollectionParamsManage::getMtType));
        // 开始进行数据遍历
        for (Map.Entry<String, List<CollectionParamsManage>> entry : groupMap.entrySet()) {
            String mtType = entry.getKey();
            List<CollectionParamsManage> dataList = entry.getValue();
            // 再根据mtNum分组
            Map<String, List<CollectionParamsManage>> groupMap1 = dataList
                    .stream()
                    .collect(Collectors.groupingBy(CollectionParamsManage::getMtNum));
            // 开始进行数据遍历
            for (Map.Entry<String, List<CollectionParamsManage>> entry1 : groupMap1.entrySet()) {
                List<CollectionParamsManage> dataList1 = entry1.getValue();
                // 进行数据处理入库操作等
                try {
                    dealAndInsert(dataList1, mtType);
                } catch (Exception e) {
                    log.error("处理主机参数异常:{}", e);
                }
            }
        }
    }

    /**
     * 处理数据并添加到data_min中
     * @param dataList
     * @param deviceType
     */
    private void dealAndInsert(List<CollectionParamsManage> dataList, String deviceType) {
        // 格式化时间点，然后取同样时间点的最大值
        Map<Date, Optional<CollectionParamsManage>> collect = dataList.stream()
                .peek(val -> val.setCurTime(DateUtils.stringToDate(DateUtils.getTimeMin(val.getCurTime(), 5), "yyyy-MM-dd HH:mm:ss")))
                .collect(
                        Collectors.groupingBy(
                                CollectionParamsManage::getCurTime,
                                Collectors.maxBy(Comparator.comparing(CollectionParamsManage::getCurValue)))
                );
        collect = sortMapByDate(collect);
        List<DeviceReport> dataMinList = new ArrayList<>();
        //value循环处理数据
        if (collect.size() > 0) {
            CollectionParamsManage entity = collect.values().stream().findFirst().get().get();
            int deviceGrade = entity.getGrade();
            //从数据库取值,当前的年表，当前年表没有，查询上一次年表
            DeviceReport lastData = dataProcessService.queryLastValue(entity.getMtNum(), "min");
//            int ratio = dataProcessService.queryRatio(entity.getMtNum()) == null ? 1 : dataProcessService.queryRatio(entity.getMtNum());
            int ratio = entity.getMtRatio();
            if (ObjectUtils.isEmpty(lastData) || ObjectUtils.isEmpty(lastData.getLastValue())) {
                //从device_manage取出初始值
                String initValue = dataProcessService.queryInitValue(entity.getMtNum(), entity.getMtCode(), entity.getRegisterAddr());
                if (StringUtils.isEmpty(initValue)) {
                    initValue = "0";
                }
                DeviceReport firstEntity = new DeviceReport();
                firstEntity.setLastValue(initValue);
                firstEntity.setLastTime(entity.getCurTime());
                firstEntity.setCurTime(entity.getCurTime());
                firstEntity.setCurValue(entity.getCurValue().toString());
                firstEntity.setDeviceNum(entity.getMtNum());
                firstEntity.setDeviceCode(entity.getMtCode());
                // 寄存器地址
                firstEntity.setRegisterAddr(entity.getRegisterAddr());
                firstEntity.setDeviceType(deviceType);
                firstEntity.setRatio(ratio);
                double usedValue = 0;
                try {
                    usedValue = entity.getCurValue().doubleValue() - Double.parseDouble(initValue);
                } catch (NumberFormatException e) {
                    log.error("数值格式解析异常:{}", e);
                }
                firstEntity.setUsedValue(String.valueOf(usedValue));
                //区分瞬时值
                if ((deviceGrade >= 100 && deviceGrade < 200) || (deviceGrade >= 1200 && deviceGrade < 1300) ) {
                    firstEntity.setCalcValue(String.valueOf(entity.getCurValue().doubleValue() * ratio));
                    firstEntity.setGrade(1);
                } else {
                    firstEntity.setCalcValue(String.valueOf(usedValue * ratio));
                    firstEntity.setGrade(0);
                }
                dataMinList.add(firstEntity);
            } else {
                Date lastDate = lastData.getLastTime();
                String lastValue = lastData.getLastValue();
                DeviceReport firstEntity = new DeviceReport();
                firstEntity.setLastValue(lastValue);
                firstEntity.setLastTime(lastDate);
                firstEntity.setCurTime(entity.getCurTime());
                firstEntity.setCurValue(entity.getCurValue().toString());
                firstEntity.setDeviceNum(entity.getMtNum());
                firstEntity.setDeviceCode(entity.getMtCode());
                // 寄存器地址
                firstEntity.setRegisterAddr(entity.getRegisterAddr());
                firstEntity.setDeviceType(deviceType);
                firstEntity.setRatio(ratio);
                double usedValue = entity.getCurValue().doubleValue() - Double.parseDouble(lastValue);
                firstEntity.setUsedValue(String.valueOf(usedValue));
                //区分瞬时值
                //区分瞬时值
                if ((deviceGrade >= 100 && deviceGrade < 200) || (deviceGrade >= 1200 && deviceGrade < 1300) ) {
                    firstEntity.setCalcValue(String.valueOf(entity.getCurValue().doubleValue() * ratio));
                    firstEntity.setGrade(1);
                } else {
                    firstEntity.setCalcValue(String.valueOf(usedValue * ratio));
                    firstEntity.setGrade(0);
                }
                dataMinList.add(firstEntity);
            }

            int i = 0, j = 0;
            for (Map.Entry<Date, Optional<CollectionParamsManage>> entry : collect.entrySet()) {
                if (entry.getValue().isPresent()) {
                    if (i == 0) {
                        i++;
                        continue;
                    }
                    DeviceReport temp = new DeviceReport();
                    DeviceReport dataJ = dataMinList.get(j);
                    CollectionParamsManage dataI = entry.getValue().get();
                    //复制实体类
//                    BeanUtils.copyProperties(dataI, temp);

                    temp.setDeviceNum(dataI.getMtNum());
                    temp.setDeviceCode(dataI.getMtCode());

                    temp.setLastValue(dataJ.getCurValue());
                    temp.setLastTime(dataJ.getCurTime());

                    temp.setCurTime(dataI.getCurTime());
                    temp.setCurValue(dataI.getCurValue().toString());
                    double usedValue = Double.parseDouble(temp.getCurValue()) - Double.parseDouble(temp.getLastValue());
                    temp.setUsedValue(String.valueOf(usedValue));
                    //区分瞬时值
                    if ((deviceGrade >= 100 && deviceGrade < 200) || (deviceGrade >= 1200 && deviceGrade < 1300) ) {
                        temp.setCalcValue(String.valueOf(Double.parseDouble(temp.getCurValue()) * ratio));
                        temp.setGrade(1);
                    } else {
                        temp.setCalcValue(String.valueOf(usedValue * ratio));
                        temp.setGrade(0);
                    }
                    temp.setDeviceType(deviceType);
                    temp.setRatio(ratio);
                    temp.setRegisterAddr(dataI.getRegisterAddr());
                    dataMinList.add(temp);
                    i++;
                    j++;
                }
            }

            //完全处理好数据，添加到data_min中
            dataProcessService.insertDatabase(dataMinList);
            // 这里计算COP
            for (Map.Entry<Date, Optional<CollectionParamsManage>> entry : collect.entrySet()) {
                if (entry.getValue().isPresent()) {
                    try {
                        dataProcessService.calculateCopByTime(DateUtils.dateToString(entry.getKey(), "yyyy-MM-dd HH:mm:ss"));
                    } catch (Exception e) {
                        log.error("计算COP失败", e);
                    }
                }
            }
        }
    }

    /**
     * 排序
     * @param map
     * @return
     */
    public static Map<Date, Optional<CollectionParamsManage>> sortMapByDate(Map<Date, Optional<CollectionParamsManage>> map) {
        return map.entrySet().stream()
                .sorted(Map.Entry.comparingByKey())
                .collect(Collectors.toMap(
                        Map.Entry::getKey,
                        Map.Entry::getValue,
                        (oldValue, newValue) -> oldValue,
                        LinkedHashMap::new
                ));
    }

    /**
     * 每隔一个小时处理一次小时表数据，从data_min表中取值，grade=0的数据
     * 加工聚合处理完成，插入data_hour表中
     */
//    @Scheduled(cron = "0 30 0/1 * * ?")
    public void dealDeviceDataHour() {
        Map<String, Object> map = dataProcessService.queryUntreatedData("min");
        //需要处理的数据
        List<DeviceReport> dataList = (List<DeviceReport>) map.get("data");
        //处理完成后需要将数据设置为已处理，grade = 1，
        Map<String, List<Long>> idMap = (Map<String, List<Long>>) map.get("idMap");

        //遍历分组
        Map<String, Map<LocalDateTime, List<DeviceReport>>> collect = getMeterNumMap(dataList, ChronoUnit.HOURS);

        //小时表数据集合
        List<DeviceReport> hourList = new ArrayList<>();
        //TODO 分组好的数据计算后插入数据表
        for (Map.Entry<String, Map<LocalDateTime, List<DeviceReport>>> entry : collect.entrySet()) {
            //表号
            String key = entry.getKey();
            Map<LocalDateTime, List<DeviceReport>> value = entry.getValue();
            Set<Map.Entry<LocalDateTime, List<DeviceReport>>> entries = value.entrySet();
            String deviceType = null;
            for (Map.Entry<LocalDateTime, List<DeviceReport>> listEntry : entries) {
                deviceType = listEntry.getValue().get(0).getDeviceType();
                break;
            }
            //分组计算,得到一组当前表号的以时间分组的数据，循环计算第一条的当前读数是上一条的上次读数
            assert deviceType != null;
            List<Map<LocalDateTime, DeviceReport>> dealDataList =
                    ComputeEnum.get(Integer.parseInt(deviceType)).getDataList(entry);

            List<Map<LocalDateTime, DeviceReport>> sortedList = dealDataList.stream()
                    .sorted(Comparator.comparing(temMap -> temMap.keySet().iterator().next()))
                    .collect(Collectors.toList());
            //计算上次值，当前值
            log.info("计算小时表数据:{}", sortedList);
            hourList = calcListData(hourList, key, "hour", sortedList);
        }
        //批量插入小时报表
        try {
            if (hourList.isEmpty() || idMap.isEmpty()) {
                return;
            }
            dataProcessService.batchInsertOrUpdate(hourList, "hour");
        } catch (Exception e) {
            log.error("小时数据表处理异常:" + e);
        }
        //TODO 修改分钟表的状态，grade=1
        dataProcessService.batchUpdateGrade(idMap, "min");

    }

    /**
     * 对数据集合计算上一次值，当前值
     *
     * @param hourList
     * @param key
     * @param dealDataList
     */
    private List<DeviceReport> calcListData(List<DeviceReport> hourList,
                                            String key, String tableType,
                                            List<Map<LocalDateTime, DeviceReport>> dealDataList) {

        ArrayList<DeviceReport> tempList = new ArrayList<>();
        for (int i = 0; i < dealDataList.size(); i++) {

            if (i == 0) {
                Map<LocalDateTime, DeviceReport> reportEntityMap = dealDataList.get(i);

                //由key已知是哪个表号
                //判断第一个是否有历史数据，当年表有历史数据则取当年表，无则取上一年表，去年和今年表都无则取初始值
                //TODO 从历史表查询上一次的读数，抄表时间
                String lastValue = null;
                Date lastDate = null;
                //查询历史记录
                DeviceReport hourEntity = dataProcessService.queryLastValue(key, tableType);
                if (ObjectUtils.isEmpty(hourEntity)) {
                    //查询设备信息初始值
                    lastValue = dataProcessService.queryInitValue(key, null, null);
                    if (StringUtils.isEmpty(lastValue)) {
                        lastValue = "0";
                    }
                } else {
                    lastValue = hourEntity.getLastValue();
                    lastDate = hourEntity.getLastTime();
                }

                Set<Map.Entry<LocalDateTime, DeviceReport>> entrySet = reportEntityMap.entrySet();
                for (Map.Entry<LocalDateTime, DeviceReport> entityEntry : entrySet) {
                    LocalDateTime curTime = entityEntry.getKey();
                    DeviceReport entity = entityEntry.getValue();
                    ZonedDateTime zonedDateTime = curTime.atZone(ZoneId.systemDefault());
                    Date date = Date.from(zonedDateTime.toInstant());
                    entity.setCurTime(date);
                    entity.setLastValue(lastValue);
                    if (lastDate == null) {
                        entity.setLastTime(date);
                    } else {
                        entity.setLastTime(lastDate);
                    }
                    BigDecimal curValue = new BigDecimal(entity.getCurValue());
                    BigDecimal newLastValue = new BigDecimal(entity.getLastValue());
                    BigDecimal usedValue = curValue.subtract(newLastValue);
                    int ratio = entity.getRatio();
                    entity.setRatio(ratio);
                    BigDecimal calcValue = usedValue.multiply(BigDecimal.valueOf(ratio));
                    entity.setUsedValue(String.valueOf(usedValue));
                    entity.setCalcValue(String.valueOf(calcValue));
                    hourList.add(entity);
                    tempList.add(entity);
                    //只需要第一个实体类
                    break;
                }
            } else {
                //从上一条取当前读数和当前时间作为当前对象的上一次读数
                int lastIndex = i - 1;
                DeviceReport lastEntity = tempList.get(lastIndex);
                Map<LocalDateTime, DeviceReport> curMap = dealDataList.get(i);
                Set<Map.Entry<LocalDateTime, DeviceReport>> curEntrySet = curMap.entrySet();
                for (Map.Entry<LocalDateTime, DeviceReport> curEntry : curEntrySet) {
                    LocalDateTime curTime = curEntry.getKey();
                    DeviceReport curEntity = curEntry.getValue();
                    ZonedDateTime zonedDateTime = curTime.atZone(ZoneId.systemDefault());
                    Date date = Date.from(zonedDateTime.toInstant());
                    curEntity.setCurTime(date);
                    curEntity.setLastTime(lastEntity.getCurTime());
                    curEntity.setLastValue(lastEntity.getCurValue());
                    BigDecimal curValue = new BigDecimal(curEntity.getCurValue());
                    BigDecimal lastValue = new BigDecimal(curEntity.getLastValue());
                    BigDecimal usedValue = curValue.subtract(lastValue);
                    int ratio = lastEntity.getRatio();
                    curEntity.setRatio(ratio);
                    BigDecimal calcValue = usedValue.multiply(BigDecimal.valueOf(ratio));
                    curEntity.setUsedValue(String.valueOf(usedValue));
                    curEntity.setCalcValue(String.valueOf(calcValue));
                    hourList.add(curEntity);
                    tempList.add(curEntity);
                }
            }

        }
        return hourList;
    }


    /**
     * 遍历数据分组，按照表号分组，再根据时间戳分组
     * 分组最大只能做到日分组，无法做到月和年，需要另外一个函数实现
     *
     * @param dataList 需要处理的数据集
     * @param interval 时间间隔
     * @return
     */
    private Map<String, Map<LocalDateTime, List<DeviceReport>>> getMeterNumMap(List<DeviceReport> dataList,
                                                                               TemporalUnit interval) {
        // 获取 MinuteData 对象集合，其中的时间戳是 java.util.Date 类型
        //1:数据格式为先按照表号分组，设备类型里的数据再按照小时分组
        //2:小时分组的数据就是DeviceReportEntity实体类
        return dataList.stream()
                .map(data -> {
                    LocalDateTime dateTime = LocalDateTime.ofInstant(data.getCurTime().toInstant(), ZoneId.systemDefault());
                    data.setLocalDateTime(dateTime);
                    return data;
                })
                .sorted(Comparator.comparing(DeviceReport::getLocalDateTime))
                .collect(
                        //根据表号分组
                        Collectors.groupingBy(DeviceReport::getDeviceNum,
                                //根据时间间隔分组，后续是否需要根据减少分组
                                Collectors.groupingBy(report -> report.getLocalDateTime().truncatedTo(interval)))

                );
    }

    /***
     * 处理生成日月年报表data_day等表
     * 一日处理一次数据 凌晨3点计算
     */
//    @Scheduled(cron = "0 30 23 * * ?")
    //@Scheduled(cron = "0 0/1 * * * ?")
    public void dealDay2Year() {
        Map<String, Object> untreatedList = dataProcessService.queryUntreatedData("hour");
        //需要处理的数据
        List<DeviceReport> dataList = (List<DeviceReport>) untreatedList.get("data");
        //处理完成后需要将数据设置为已处理，grade = 1，
        Map<String, List<Long>> idMap = (Map<String, List<Long>>) untreatedList.get("idMap");

        //<表号：<时间：List<集合>>> 按照日区分
        Map<String, Map<LocalDateTime, List<DeviceReport>>> dayMap = getMeterNumMap(dataList, ChronoUnit.DAYS);
        List<DeviceReport> dayList = new ArrayList<>();
        List<DeviceReport> monthList = new ArrayList<>();

        // 使用流对每个内部的Map进行排序
        dayMap.forEach((key, value) -> {
            Map<LocalDateTime, List<DeviceReport>> sortedMap = value.entrySet().stream()
                    .sorted(Map.Entry.comparingByKey())
                    .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue, (oldValue, newValue) -> oldValue, LinkedHashMap::new));

            // 将排序后的Map更新回dayMap
            dayMap.put(key, sortedMap);
        });
        dayList = getDeviceReportEntities(dayMap, dayList, "day");
        //存入日表
        try {
            dataProcessService.batchInsertOrUpdate(dayList, "day");
        } catch (Exception e) {
            log.error("日表数据表处理异常:" + e);
            e.printStackTrace();
        }

        // 按照月区分
        //Map<String, Map<LocalDateTime, List<DeviceReportEntity>>> monthMap = getMeterNumMap(dataList, ChronoUnit.MONTHS);
        Map<String, Map<YearMonth, List<DeviceReport>>> monthMap = getMeterNumMapByMonth(dataList, ChronoUnit.MONTHS);
        List<DeviceReport> monthInsert = getMonthListData(monthList, monthMap);
        dataProcessService.batchInsertOrUpdate(monthInsert, "month");

        // 按照年区分
        //Map<String, Map<YearMonth, List<DeviceReportEntity>>> yearMap = getMeterNumMapByMonth(dataList, ChronoUnit.YEARS);
        //List<DeviceReportEntity> yearInsert = getMonthListData(monthList, yearMap);
        dataProcessService.batchInsertOrUpdate(monthInsert, "year");

        //TODO 修改分钟表的状态，grade=1
        dataProcessService.batchUpdateGrade(idMap, "hour");
    }

    /**
     * 计算月和年报表
     *
     * @param monthList
     * @param monthMap
     * @return
     */
    private List<DeviceReport> getMonthListData(List<DeviceReport> monthList, Map<String, Map<YearMonth, List<DeviceReport>>> monthMap) {
        Set<Map.Entry<String, Map<YearMonth, List<DeviceReport>>>> entries = monthMap.entrySet();
        for (Map.Entry<String, Map<YearMonth, List<DeviceReport>>> entry : entries) {
            String deviceNum = entry.getKey();
            Map<YearMonth, List<DeviceReport>> value = entry.getValue();
            List<DeviceReport> deviceList = new ArrayList<>();
            List<DeviceReport> monthInsert = new ArrayList<>();
            List<DeviceReport> tempList = new ArrayList<>();
            Set<Map.Entry<YearMonth, List<DeviceReport>>> monthEntries = value.entrySet();
            for (Map.Entry<YearMonth, List<DeviceReport>> monthEntry : monthEntries) {
                //月份
                YearMonth key = monthEntry.getKey();
                //集合
                List<DeviceReport> monthEntryValue = monthEntry.getValue();
                //筛选出最大值和最小值
                DeviceReport max = Collections.max(monthEntryValue, Comparator.comparing(DeviceReport::getLocalDateTime));

                deviceList.add(max);
            }
            deviceList.sort(Comparator.comparing(DeviceReport::getLocalDateTime));
            for (int i = 0; i < deviceList.size(); i++) {
                String lastValue;
                Date lastTime;
                if (i == 0) {
                    DeviceReport entity = deviceList.get(i);
                    DeviceReport lastEntity = dataProcessService.queryLastValue(deviceNum, "month");
                    if (ObjectUtils.isEmpty(lastEntity)) {
                        lastValue = dataProcessService.queryInitValue(deviceNum, null, null);
                        lastTime = entity.getCurTime();
                    } else {
                        lastValue = lastEntity.getLastValue();
                        lastTime = lastEntity.getLastTime();
                    }
                    entity.setLastTime(lastTime);
                    entity.setLastValue(lastValue);

                    BigDecimal curValue = new BigDecimal(entity.getCurValue());
                    BigDecimal bigDecimal = new BigDecimal(entity.getLastValue());
                    int ratio = entity.getRatio();
                    BigDecimal usedValue = curValue.subtract(bigDecimal);
                    entity.setUsedValue(usedValue.toString());
                    BigDecimal calcValue = usedValue.multiply(BigDecimal.valueOf(ratio));
                    entity.setCalcValue(calcValue.toString());

                    monthInsert.add(entity);
                    tempList.add(entity);
                } else {
                    //从上一条取当前读数和当前时间作为当前对象的上一次读数
                    int lastIndex = i - 1;
                    DeviceReport lastEntity = tempList.get(lastIndex);
                    DeviceReport curEntity = deviceList.get(i);

                    curEntity.setLastTime(lastEntity.getCurTime());
                    curEntity.setLastValue(lastEntity.getCurValue());
                    BigDecimal curValue = new BigDecimal(curEntity.getCurValue());
                    BigDecimal bigDecimal = new BigDecimal(curEntity.getLastValue());
                    BigDecimal usedValue = curValue.subtract(bigDecimal);
                    int ratio = lastEntity.getRatio();
                    curEntity.setRatio(ratio);
                    BigDecimal calcValue = usedValue.multiply(BigDecimal.valueOf(ratio));
                    curEntity.setUsedValue(String.valueOf(usedValue));
                    curEntity.setCalcValue(String.valueOf(calcValue));

                    monthInsert.add(curEntity);
                    tempList.add(curEntity);

                }
            }
            monthList.addAll(tempList);
        }

        return monthList;
    }

    /**
     * 循环处理
     *
     * @param dayMap
     * @param dayList
     * @param tableType
     * @return
     */
    private List<DeviceReport> getDeviceReportEntities(Map<String, Map<LocalDateTime, List<DeviceReport>>> dayMap,
                                                       List<DeviceReport> dayList,
                                                       String tableType) {
        for (Map.Entry<String, Map<LocalDateTime, List<DeviceReport>>> entry : dayMap.entrySet()) {
            //表号
            String key = entry.getKey();
            Map<LocalDateTime, List<DeviceReport>> value = entry.getValue();
            String deviceType = null;
            for (Map.Entry<LocalDateTime, List<DeviceReport>> listEntry : value.entrySet()) {
                deviceType = listEntry.getValue().get(0).getDeviceType();
            }
            //取到的最大值
            assert deviceType != null;
            List<Map<LocalDateTime, DeviceReport>> dayMapList =
                    ComputeEnum.get(Integer.parseInt(deviceType)).getDataList(entry);
            dayList = calcListData(dayList, key, tableType, dayMapList);

        }
        return dayList;
    }

    /**
     * 按照月、年分组
     *
     * @param dataList
     * @param interval
     * @return
     */
    private Map<String, Map<YearMonth, List<DeviceReport>>> getMeterNumMapByMonth(List<DeviceReport> dataList,
                                                                                  TemporalUnit interval) {
        return dataList.stream()
                .map(data -> {
                    LocalDateTime dateTime = LocalDateTime.ofInstant(data.getCurTime().toInstant(), ZoneId.systemDefault());
                    data.setLocalDateTime(dateTime);
                    return data;
                })
                .collect(Collectors.groupingBy(DeviceReport::getDeviceNum,
                        Collectors.groupingBy(
                                report -> YearMonth.from(report.getLocalDateTime()),
                                LinkedHashMap::new,
                                Collectors.toList()
                        )));
    }


    /**
     * 处理冷水机组数据获取只要实时数据的设备
     */
    public void dealChillersData() {
        List<CollectionParamsManage> cacheList = redisCache.getCacheList(Constants.CHILLERS, CollectionParamsManage.class);
        if (null == cacheList || cacheList.isEmpty()) {
            return;
        }
        //清空redis
        redisCache.deleteObject(Constants.CHILLERS);
        //处理chillers数据
        try {
            //todo 处理没有对象curValue和curTime的异常
            dealChillersCollect(cacheList);
        } catch (Exception e) {
            log.error("处理主机参数异常:{}", e);
        }
    }

    /**
     * 处理温湿度传感器数据获取进入chillers表
     */
    public void dealTempData() {
        List<CollectionParamsManage> cacheList = redisCache.getCacheList(Constants.TEMP, CollectionParamsManage.class);
        if (null == cacheList || cacheList.isEmpty()) {
            return;
        }
        //清空redis
        redisCache.deleteObject(Constants.TEMP);
        //处理chillers数据
        try {
            //todo 处理没有对象curValue和curTime的异常
            dealChillersCollect(cacheList);
        } catch (Exception e) {
            log.error("处理主机参数异常:{}", e);
        }
    }

    /**
     * 处理主机秒级数据，再计算主机运行时间
     *
     * @param cacheList
     */
    private void dealChillersCollect(List<CollectionParamsManage> cacheList) throws Exception {
        //插入报表，将历史数据插入chillers_data_min
        //1.插入register_id,当前值，当前时间，名字
        dataProcessService.insertChillerReport(cacheList);
    }
}