package com.moral.api.service.impl;
|
|
import org.springframework.beans.factory.annotation.Autowired;
|
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.stream.Collectors;
|
import java.util.stream.DoubleStream;
|
|
import com.alibaba.fastjson.JSONObject;
|
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
import com.moral.api.entity.Sensor;
|
import com.moral.api.mapper.HistoryFiveMinutelyMapper;
|
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.util.AmendUtils;
|
import com.moral.util.DateUtils;
|
|
@Service
|
public class HistoryFiveMinutelyServiceImpl implements HistoryFiveMinutelyService {
|
|
@Autowired
|
private HistoryFiveMinutelyMapper historyFiveMinutelyMapper;
|
|
@Autowired
|
private HistoryMinutelyService historyMinutelyService;
|
|
@Autowired
|
private SensorService sensorService;
|
|
@Override
|
public void createTable(String timeUnits) {
|
historyFiveMinutelyMapper.createTable(timeUnits);
|
}
|
|
@Override
|
public void insertHistoryFiveMinutely() {
|
//时间格式化：yyyy-MM-dd HH:mm
|
String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
|
Date now = new Date();
|
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);
|
|
//因子
|
QueryWrapper<Sensor> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("code").eq("is_delete", Constants.NOT_DELETE);
|
List<Object> sensorCodes = sensorService.listObjs(queryWrapper);
|
|
//获取所有设备的5分钟数据
|
List<Map<String, Object>> fiveMinutelyData = historyMinutelyService.getHistoryFiveMinutelyData(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", 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);
|
}
|
});
|
dataMap.put("value", JSONObject.toJSONString(jsonMap));
|
insertData.add(dataMap);
|
});
|
|
//5分钟表后缀
|
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));
|
}
|
}
|
