chore:测试提交

cjl

2023-07-11 18b77c8cb85cb6151ec5b511cc68e79f4d318466

chore:测试提交

 screen-job/src/main/java/com/moral/api/controller/PubController.java

@@ -49,6 +49,12 @@
        return new ResultMessage();
    }

    @GetMapping("FiveMinutelyTest")
    @ApiOperation(value = "5分钟数据1", notes = "5分钟数据1")
    public ResultMessage FiveMinutelyTest(String yz,String mac) {
        historyFiveMinutelyService.insertHistoryFiveMinutely(yz,mac);
        return new ResultMessage();
    }


    public static void main(String[] args) {

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

@@ -8,4 +8,7 @@
    //5分钟数据insert
    void insertHistoryFiveMinutely();


    void insertHistoryFiveMinutely(String yz,String mac);

}

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

@@ -6,12 +6,7 @@
import org.springframework.transaction.annotation.Transactional;
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.*;
import java.util.stream.Collectors;
import java.util.stream.DoubleStream;

@@ -26,6 +21,7 @@
import com.moral.constant.RedisConstants;
import com.moral.util.AmendUtils;
import com.moral.util.DateUtils;
import org.springframework.util.StringUtils;

@Service
public class HistoryFiveMinutelyServiceImpl implements HistoryFiveMinutelyService {
@@ -182,4 +178,141 @@
        //存入数据库
        historyFiveMinutelyMapper.insertHistoryFiveMinutely(insertData, insertTimeUnits);
    }

    @Override
    public void insertHistoryFiveMinutely(String yz, String mac) {
        String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
        Date now = new Date();
        now = DateUtils.getFiveMinuteDate(now);

        //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);
        //结束时间
        Date end = DateUtils.dataToTimeStampTime(now, format);
        params.put("start", start);
        params.put("end", end);
        //获取数据的分钟表后缀
        String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);
        params.put("timeUnits", timeUnits);
        if(!StringUtils.isEmpty(mac)){
            params.put("macs", Arrays.asList(mac));
        }
        //因子
        QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>();
        sensorQueryWrapper.select("code", "lower", "upper").eq("is_delete", Constants.NOT_DELETE);
        if(!StringUtils.isEmpty(yz)){
            sensorQueryWrapper.eq("code",yz);
        }
        List<Sensor> sensors = sensorService.list(sensorQueryWrapper);

        //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;
        }

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

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

        data.forEach((key, value) -> {
            Map<String, Object> dataMap = new HashMap<>();
            dataMap.put("mac", key);
            dataMap.put("time", start);
            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
            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
            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);
                            //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;
                            }
                            //风向单独计算
                            if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) {
                                return null;
                            }
                            //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(average.getAsDouble(), 4);
                    jsonMap.put(sensorCode, sciCal);
                }

            });
            dataMap.put("value", JSONObject.toJSONString(jsonMap));
            //存入redis
            jsonMap.put("dataTime", DateUtils.dateToDateString(start));
           // redisTemplate.opsForHash().put(RedisConstants.DATA_FIVE_MINUTES, key, jsonMap);
            //insertData.add(dataMap);
            System.out.println(dataMap);
        });


    }
}