账号存在返回信息修改

jinpengyong

2021-08-06 dea78470f9f412f26b887827e94e46afc5d7bdbc

 screen-job/src/main/java/com/moral/api/service/impl/HistoryHourlyServiceImpl.java

@@ -1,14 +1,33 @@
package com.moral.api.service.impl;

import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.entity.HistoryHourly;
import com.moral.api.entity.Sensor;
import com.moral.api.mapper.HistoryHourlyMapper;
import com.moral.api.mapper.HistoryMinutelyMapper;
import com.moral.api.service.HistoryHourlyService;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.moral.api.service.SensorService;
import com.moral.constant.Constants;
import com.moral.constant.RedisConstants;
import com.moral.util.AmendUtils;
import com.moral.util.DateUtils;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import org.springframework.util.ObjectUtils;

import java.util.ArrayList;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.OptionalDouble;
import java.util.Set;
import java.util.stream.Collectors;
import java.util.stream.DoubleStream;

/**
 * <p>
@@ -24,15 +43,113 @@
    @Autowired
    private HistoryHourlyMapper historyHourlyMapper;

    @Override
    public void insertHistoryHourly() {
        //获取中间小时表数据
        List<HistoryHourly> list = historyHourlyMapper.getHistoryHourlyTransition();
        historyHourlyMapper.insertHistoryHourly(list);
    }
    @Autowired
    private RedisTemplate redisTemplate;

    @Autowired
    private HistoryMinutelyMapper historyMinutelyMapper;

    @Autowired
    private SensorService sensorService;

    @Override
    public void deleteHistoryHourlyTransition() {
        historyHourlyMapper.deleteHistoryHourlyTransition();
    public void insertHistoryHourly() {
        //时间格式化：yyyy-MM-dd HH:mm
        String format = DateUtils.yyyy_MM_dd_HH_EN;

        //redis获取所有设备mac
        Set<String> macs = redisTemplate.opsForHash().keys(RedisConstants.DEVICE);
        //当前时间，到小时
        Date now = new Date();
        String time = DateUtils.dateToDateString(now, format) + ":00:00";

        QueryWrapper<HistoryHourly> queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("time", time);
        //查询数据库当前小时的条数，如果比macs小，说明需要数据补充
        Integer count = historyHourlyMapper.selectCount(queryWrapper);
        if (macs.size() > count) {
            macs.removeIf(mac -> {
                queryWrapper.clear();
                queryWrapper.eq("time", time);
                queryWrapper.eq("mac", mac);
                Integer num = historyHourlyMapper.selectCount(queryWrapper);
                return num != 0;
            });
        }

        Map<String, Object> params = new HashMap<>();

        //开始时间
        String dateString = DateUtils.getDateStringOfHour(-1, format);
        Date start = DateUtils.getDate(dateString, format);

        //结束时间
        Date end = DateUtils.dataToTimeStampTime(now, format);

        //从分钟表获取数据的分钟表后缀
        String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);

        //因子
        QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>();
        sensorQueryWrapper.select("code").eq("is_delete", Constants.NOT_DELETE);
        List<Object> sensorCodes = sensorService.listObjs(sensorQueryWrapper);

        params.put("timeUnits", timeUnits);
        params.put("start", start);
        params.put("end", end);
        params.put("macs", macs);
        //获取所有设备的1小时内的数据
        List<Map<String, Object>> hourlyData = historyMinutelyMapper.getHistoryMinutelyData(params);
        if (hourlyData.size() == 0) {
            return;
        }

        //按mac分组
        Map<String, List<Map<String, Object>>> data = hourlyData.parallelStream()
                .collect(Collectors.groupingBy(o -> (String) o.get("mac")));

        //存入数据库的结果集
        List<HistoryHourly> insertData = new ArrayList<>();

        data.forEach((key, value) -> {
            HistoryHourly historyHourly = new HistoryHourly();
            historyHourly.setMac(key);
            historyHourly.setTime(end);
            Map<String, Object> jsonMap = new HashMap<>();

            //风向均值计算并修约
            Object windDirAvg = AmendUtils.getWindDirAvg(value);
            if (windDirAvg != null) {
                jsonMap.put(Constants.SENSOR_CODE_WIND_DIR, windDirAvg);
            }

            //除风向外其他因子均值计算
            sensorCodes.forEach(sensorCode -> {
                OptionalDouble optionalDouble = value.parallelStream()
                        .flatMapToDouble(v -> {
                            Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                            Object sensorValue = dataValue.get(sensorCode.toString());
                            if (ObjectUtils.isEmpty(sensorValue)) {
                                return null;
                            }
                            //风向另外计算
                            if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) {
                                return null;
                            }
                            return DoubleStream.of(Double.parseDouble(sensorValue.toString()));
                        }).average();
                if (optionalDouble.isPresent()) {
                    //银行家算法修约
                    double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 4);
                    jsonMap.put(sensorCode.toString(), sciCal);
                }
            });
            historyHourly.setValue(JSONObject.toJSONString(jsonMap));
            historyHourly.setVersion((Integer) value.get(0).get("version"));
            insertData.add(historyHourly);
        });

        //存入小时表
        historyHourlyMapper.insertHistoryHourly(insertData);
    }
}