均值计算加入数据有效性限制条件

jinpengyong

2021-08-06 6ae790cc95cf87e40f0f1fa49ed04fb722530211

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

@@ -1,6 +1,7 @@
package com.moral.api.service.impl;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.ObjectUtils;
@@ -18,10 +19,11 @@
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.entity.Sensor;
import com.moral.api.mapper.HistoryFiveMinutelyMapper;
import com.moral.api.mapper.HistoryMinutelyMapper;
import com.moral.api.service.HistoryFiveMinutelyService;
import com.moral.api.service.HistoryMinutelyService;
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;

@@ -32,10 +34,13 @@
    private HistoryFiveMinutelyMapper historyFiveMinutelyMapper;

    @Autowired
    private HistoryMinutelyService historyMinutelyService;
    private HistoryMinutelyMapper historyMinutelyMapper;

    @Autowired
    private SensorService sensorService;

    @Autowired
    private RedisTemplate redisTemplate;

    @Override
    public void createTable(String timeUnits) {
@@ -48,6 +53,7 @@
        //时间格式化：yyyy-MM-dd HH:mm
        String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
        Date now = new Date();
        //从数据库获取数据参数
        Map<String, Object> params = new HashMap<>();
        //开始时间
        Date start = DateUtils.dataToTimeStampTime(DateUtils.getDateOfMin(now, -5), format);
@@ -60,12 +66,12 @@
        params.put("timeUnits", timeUnits);

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

        //获取所有设备的5分钟数据
        List<Map<String, Object>> fiveMinutelyData = historyMinutelyService.getHistoryFiveMinutelyData(params);
        //获取所有设备的5分钟内的数据
        List<Map<String, Object>> fiveMinutelyData = historyMinutelyMapper.getHistoryMinutelyData(params);
        if (fiveMinutelyData.size() == 0) {
            return;
        }
@@ -83,34 +89,88 @@
            dataMap.put("time", end);
            Map<String, Object> jsonMap = new HashMap<>();


            Map<String, Object> map = new HashMap<>();
            map.put("data", value);
            map.put("type", "fiveMinutes");
            for (Sensor sensor : sensors) {
                String sensorCode = sensor.getCode();

                //风向上下限
                if (sensorCode.equals(Constants.SENSOR_CODE_WIND_DIR)) {
                    if (sensor.getUpper() != null) {
                        map.put("windDirUpper", sensor.getUpper());
                    }
                    if (sensor.getLower() != null) {
                        map.put("windDirLower", sensor.getLower());
                    }
                }

                //风速上下限
                if (sensorCode.equals(Constants.SENSOR_CODE_WIND_SPEED)) {
                    if (sensor.getUpper() != null) {
                        map.put("windSpeedUpper", sensor.getUpper());
                    }
                    if (sensor.getLower() != null) {
                        map.put("windSpeedLower", sensor.getLower());
                    }
                }
            }

            //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);
            Map<String, Object> windDirAvg = AmendUtils.getWindDirAvg(map);
            if (!ObjectUtils.isEmpty(windDirAvg)) {
                jsonMap.putAll(windDirAvg);
            }

            //除风向外其他因子均值计算
            sensorCodes.forEach(sensorCode -> {
                OptionalDouble optionalDouble = value.parallelStream()
            sensors.forEach(sensor -> {
                String sensorCode = sensor.getCode();
                Double upper = sensor.getUpper();
                Double lower = sensor.getLower();
                DoubleStream optionalDouble = value.parallelStream()
                        .flatMapToDouble(v -> {
                            Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                            Object sensorValue = dataValue.get(sensorCode.toString());
                            Object sensorValue = dataValue.get(sensorCode);
                            //数据有效性标记位
                            Object flag = dataValue.get(sensorCode + Constants.MARKER_BIT_KEY);
                            if (!Constants.MARKER_BIT_TRUE.equals(flag)) {
                                return null;
                            }

                            if (ObjectUtils.isEmpty(sensorValue)) {
                                return null;
                            }
                            //风向另外计算
                            //风向单独计算
                            if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) {
                                return null;
                            }
                            return DoubleStream.of(Double.parseDouble(sensorValue.toString()));
                        }).average();
                if (optionalDouble.isPresent()) {
                            //剔除数据超过上下限的数据
                            double aDouble = Double.parseDouble(sensorValue.toString());
                            if (!ObjectUtils.isEmpty(upper)) {
                                if (aDouble < upper) {
                                    return null;
                                }
                            }
                            if (!ObjectUtils.isEmpty(lower)) {
                                if (aDouble > lower) {
                                    return null;
                                }
                            }
                            return DoubleStream.of(aDouble);
                        });

                OptionalDouble average = optionalDouble.average();
                if (average.isPresent()) {
                    //银行家算法修约
                    double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 4);
                    jsonMap.put(sensorCode.toString(), sciCal);
                    double sciCal = AmendUtils.sciCal(average.getAsDouble(), 4);
                    jsonMap.put(sensorCode, sciCal);
                }

            });
            dataMap.put("value", JSONObject.toJSONString(jsonMap));
            //存入redis
            redisTemplate.opsForHash().put(RedisConstants.DATA_FIVE_MINUTES, key, jsonMap);
            insertData.add(dataMap);
        });

@@ -118,68 +178,5 @@
        String insertTimeUnits = DateUtils.dateToDateString(now, DateUtils.yyyyMM_EN);
        //存入数据库
        historyFiveMinutelyMapper.insertHistoryFiveMinutely(insertData, insertTimeUnits);
    }


    public static void main(String[] args) {
       /* //模拟数据
        List<Map<String, Object>> list = new ArrayList<>();
        Map<String, Object> map1 = new HashMap<>();
        map1.put("mac", "p5dnd1234567");
        map1.put("value", "{\"a0001\": 10, \"a0002\": 8, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\"}");
        Map<String, Object> map2 = new HashMap<>();
        map2.put("mac", "p5dnd123456789");
        map2.put("value", "{\"a0001\": 12, \"a0002\": 12, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\"}");
        Map<String, Object> map3 = new HashMap<>();
        map3.put("mac", "p5dnd1234567");
        map3.put("value", "{\"a0001\": 6, \"a0002\": 20, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\", \"a0003\": 14}");
        Map<String, Object> map4 = new HashMap<>();
        map4.put("mac", "p5dnd1234567");
        map4.put("value", "{\"a0001\": 4, \"a0002\": 16, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\", \"a0003\": 16}");
        list.add(map1);
        list.add(map2);
        list.add(map3);
        list.add(map4);

        //数据按mac分组
        Map<String, List<Map<String, Object>>> data = list.parallelStream().collect(Collectors.groupingBy(o -> (String) o.get("mac")));
        System.out.println(data);

        //所有因子
        List<Object> sensors = new ArrayList<>();
        sensors.add("a0001");
        sensors.add("a0002");
        sensors.add("a0003");

        //插入数据库结果集
        List<Map<String, Object>> insertData = new ArrayList<>();

        data.forEach((key, value) -> {
            Map<String, Object> dataMap = new HashMap<>();
            Map<String, Object> jsonMap = new HashMap<>();
            dataMap.put("mac", key);
            sensors.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;
                            }
                            return DoubleStream.of(Double.parseDouble(sensorValue.toString()));
                        }).average();
                if (optionalDouble.isPresent()) {
                    jsonMap.put(sensorCode.toString(), Double.parseDouble(String.format("%.4f", optionalDouble.getAsDouble())));
                }
            });
            dataMap.put("value", JSONObject.toJSONString(jsonMap));
            insertData.add(dataMap);
        });


        System.out.println("666==" + insertData);*/

        double a = 5.5d;
        System.out.println(Math.round(a));
    }
}