package com.moral.api.service.impl;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import org.springframework.util.ObjectUtils;
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import java.util.ArrayList;
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import java.util.Date;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.OptionalDouble;
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import java.util.stream.Collectors;
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import java.util.stream.DoubleStream;
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import com.alibaba.fastjson.JSONObject;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.moral.api.entity.Sensor;
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import com.moral.api.mapper.HistoryFiveMinutelyMapper;
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import com.moral.api.mapper.HistoryMinutelyMapper;
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import com.moral.api.service.HistoryFiveMinutelyService;
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import com.moral.api.service.SensorService;
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import com.moral.constant.Constants;
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import com.moral.constant.RedisConstants;
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import com.moral.util.AmendUtils;
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import com.moral.util.DateUtils;
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@Service
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public class HistoryFiveMinutelyServiceImpl implements HistoryFiveMinutelyService {
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@Autowired
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private HistoryFiveMinutelyMapper historyFiveMinutelyMapper;
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@Autowired
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private HistoryMinutelyMapper historyMinutelyMapper;
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@Autowired
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private SensorService sensorService;
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@Autowired
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private RedisTemplate redisTemplate;
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@Override
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public void createTable(String timeUnits) {
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historyFiveMinutelyMapper.createTable(timeUnits);
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}
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@Override
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@Transactional
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public void insertHistoryFiveMinutely() {
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//时间格式化：yyyy-MM-dd HH:mm
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String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
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Date now = new Date();
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Map<String, Object> params = new HashMap<>();
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//开始时间
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Date start = DateUtils.dataToTimeStampTime(DateUtils.getDateOfMin(now, -5), format);
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//结束时间
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Date end = DateUtils.dataToTimeStampTime(now, format);
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params.put("start", start);
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params.put("end", end);
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//获取数据的分钟表后缀
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String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);
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params.put("timeUnits", timeUnits);
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//因子
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QueryWrapper<Sensor> queryWrapper = new QueryWrapper<>();
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queryWrapper.select("code").eq("is_delete", Constants.NOT_DELETE);
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List<Object> sensorCodes = sensorService.listObjs(queryWrapper);
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//获取所有设备的5分钟内的数据
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List<Map<String, Object>> fiveMinutelyData = historyMinutelyMapper.getHistoryMinutelyData(params);
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if (fiveMinutelyData.size() == 0) {
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return;
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}
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//按mac分组
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Map<String, List<Map<String, Object>>> data = fiveMinutelyData.parallelStream()
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.collect(Collectors.groupingBy(o -> (String) o.get("mac")));
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//存入数据库的结果集
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List<Map<String, Object>> insertData = new ArrayList<>();
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data.forEach((key, value) -> {
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Map<String, Object> dataMap = new HashMap<>();
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dataMap.put("mac", key);
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dataMap.put("time", end);
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Map<String, Object> jsonMap = new HashMap<>();
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//风向均值计算并修约
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Object windDirAvg = AmendUtils.getWindDirAvg(value);
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if (windDirAvg != null) {
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jsonMap.put(Constants.SENSOR_CODE_WIND_DIR, windDirAvg);
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}
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//除风向外其他因子均值计算
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sensorCodes.forEach(sensorCode -> {
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OptionalDouble optionalDouble = value.parallelStream()
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.flatMapToDouble(v -> {
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Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
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Object sensorValue = dataValue.get(sensorCode.toString());
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if (ObjectUtils.isEmpty(sensorValue)) {
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return null;
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}
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//风向另外计算
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if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) {
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return null;
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}
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return DoubleStream.of(Double.parseDouble(sensorValue.toString()));
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}).average();
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if (optionalDouble.isPresent()) {
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//银行家算法修约
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double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 4);
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jsonMap.put(sensorCode.toString(), sciCal);
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}
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});
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dataMap.put("value", JSONObject.toJSONString(jsonMap));
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//存入redis
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redisTemplate.opsForHash().put(RedisConstants.DATA_FIVE_MINUTES, key, jsonMap);
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insertData.add(dataMap);
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});
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//5分钟表后缀
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String insertTimeUnits = DateUtils.dateToDateString(now, DateUtils.yyyyMM_EN);
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//存入数据库
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historyFiveMinutelyMapper.insertHistoryFiveMinutely(insertData, insertTimeUnits);
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}
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}
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