package com.moral.api.service.impl;
|
|
import com.alibaba.fastjson.JSONObject;
|
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
import com.moral.api.config.mybatis.MybatisPlusConfig;
|
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.moral.api.service.SensorService;
|
import com.moral.constant.Constants;
|
import com.moral.constant.RedisConstants;
|
import com.moral.constant.SeparateTableType;
|
import com.moral.util.AmendUtils;
|
import com.moral.util.DateUtils;
|
|
import com.moral.util.MybatisPLUSUtils;
|
|
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.concurrent.atomic.AtomicInteger;
|
import java.util.function.Supplier;
|
import java.util.stream.Collectors;
|
import java.util.stream.DoubleStream;
|
import java.util.stream.Stream;
|
|
/**
|
* <p>
|
* 已校准小时表 服务实现类
|
* </p>
|
*
|
* @author moral
|
* @since 2021-06-28
|
*/
|
@Service
|
public class HistoryHourlyServiceImpl implements HistoryHourlyService {
|
|
@Autowired
|
private HistoryHourlyMapper historyHourlyMapper;
|
|
@Autowired
|
private RedisTemplate redisTemplate;
|
|
@Autowired
|
private HistoryMinutelyMapper historyMinutelyMapper;
|
|
@Autowired
|
private SensorService sensorService;
|
|
@Override
|
public void createTable(String timeUnits) {
|
historyHourlyMapper.createTable(timeUnits);
|
}
|
|
@Override
|
public void createTableComplete(String timeUnits) {
|
historyHourlyMapper.createTableComplete(timeUnits);
|
}
|
|
@Override
|
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";
|
|
//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
|
Map<String, Object> prop = new HashMap<>();
|
prop.put("timeUnits", DateUtils.getDateStringOfMon(0, DateUtils.yyyyMM_EN));
|
prop.put("time", time);
|
Integer count = historyHourlyMapper.selectCountByTime(prop);
|
|
if (macs.size() <= count) {
|
return;
|
} else {
|
macs.removeIf(mac -> {
|
prop.put("mac", mac);
|
Integer num = historyHourlyMapper.selectCountByTime(prop);
|
return num != 0;
|
});
|
}
|
|
//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", "lower", "upper").eq("is_delete", Constants.NOT_DELETE);
|
List<Sensor> sensors = sensorService.list(sensorQueryWrapper);
|
|
//从数据库数据库获取数据的参数
|
Map<String, Object> params = new HashMap<>();
|
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<Map<String, Object>> insertData = new ArrayList<>();
|
|
data.forEach((key, value) -> {
|
Map<String, Object> historyHourly = new HashMap<>();
|
historyHourly.put("mac", key);
|
historyHourly.put("time", end);
|
|
Map<String, Object> jsonMap = new HashMap<>();
|
Map<String, Object> map = new HashMap<>();
|
map.put("data", value);
|
map.put("type", "hour");
|
|
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();
|
AtomicInteger size = new AtomicInteger();
|
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;
|
}
|
}
|
size.getAndIncrement();
|
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);
|
//标志位
|
if (size.get() >= 45) {
|
jsonMap.put(sensorCode + "-" + Constants.MARKER_BIT_KEY, Constants.MARKER_BIT_TRUE);
|
} else {
|
jsonMap.put(sensorCode + "-" + Constants.MARKER_BIT_KEY, Constants.MARKER_BIT_FALSE);
|
}
|
}
|
});
|
historyHourly.put("version", value.get(0).get("version"));
|
historyHourly.put("value", JSONObject.toJSONString(jsonMap));
|
insertData.add(historyHourly);
|
});
|
|
//存入小时表
|
historyHourlyMapper.insertHistoryHourly(insertData);
|
}
|
|
@Override
|
public List<Map<String, Object>> selectDailyData(Map<String, Object> params) {
|
return historyHourlyMapper.selectDailyData(params);
|
}
|
|
/**
|
* @Description: 查询一段时间内某一mac的数据
|
* @Param: [mac, startDate, endDate]
|
* @return: java.util.List<com.moral.api.entity.HistoryHourly>
|
* @Author: 陈凯裕
|
* @Date: 2021/9/23
|
*/
|
@Override
|
public List<HistoryHourly> getValueByMacAndTime(String mac, Date startDate, Date endDate) {
|
QueryWrapper<HistoryHourly> wrapper = new QueryWrapper<>();
|
wrapper.eq("mac", mac);
|
wrapper.between("time", startDate, endDate);
|
List<String> tableNames = MybatisPLUSUtils.getTableNamesByWrapper(startDate, endDate, SeparateTableType.MONTH);
|
List<HistoryHourly> datas = multiTableQuery(wrapper, tableNames);
|
return datas;
|
}
|
|
@Override
|
public void insertHistoryHourlyComplete() {
|
//时间格式化：yyyy-MM-dd HH:mm
|
String format = DateUtils.yyyy_MM_dd_HH_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.addHours(now, -1), 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> sensorQueryWrapper = new QueryWrapper<>();
|
sensorQueryWrapper.select("code", "lower", "upper").eq("is_delete", Constants.NOT_DELETE);
|
List<Sensor> sensors = sensorService.list(sensorQueryWrapper);
|
|
//获取所有设备的一小时内的数据
|
List<Map<String, Object>> hourlyData = historyMinutelyMapper.getHourlyData(params);
|
if (ObjectUtils.isEmpty(hourlyData)) {
|
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<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", "hourlyComplete");
|
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());
|
}
|
}
|
}
|
Supplier<Stream<Map<String, Object>>> streamSupplier = () -> value.stream();
|
//均值，最大值，最小值计算
|
sensors.forEach(sensor -> {
|
Double avg = calculatedValue(streamSupplier, sensor, "avg");
|
if (Constants.SENSOR_CODE_WIND_DIR.equals(sensor.getCode())) {
|
//风向均值计算并修约
|
Map<String, Object> windDirAvg = AmendUtils.getWindDirAvg(map);
|
if (!ObjectUtils.isEmpty(windDirAvg)) {
|
avg = (Double) windDirAvg.get(Constants.SENSOR_CODE_WIND_DIR);
|
}
|
}
|
Double min = calculatedValue(streamSupplier, sensor, "min");
|
Double max = calculatedValue(streamSupplier, sensor, "max");
|
List<Double> doubles = new ArrayList<>(3);
|
if (avg != null && min != null && max != null) {
|
doubles.add(avg);
|
doubles.add(min);
|
doubles.add(max);
|
jsonMap.put(sensor.getCode(), doubles);
|
}
|
});
|
dataMap.put("value", JSONObject.toJSONString(jsonMap));
|
insertData.add(dataMap);
|
});
|
|
//后缀
|
String insertTimeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);
|
//存入数据库
|
historyHourlyMapper.insertHistoryHourlyComplete(insertData, insertTimeUnits);
|
}
|
|
/**
|
* @Description: 多表查询，传入表名集合，以及条件wrapper，返回数据
|
* @Param: [wrapper, tableNames]
|
* @return: java.util.List<com.moral.api.entity.HistoryHourly>
|
* @Author: 陈凯裕
|
* @Date: 2021/9/23
|
*/
|
private List<HistoryHourly> multiTableQuery(QueryWrapper<HistoryHourly> wrapper, List<String> tableNames) {
|
List<HistoryHourly> result = new ArrayList<>();
|
for (String tableName : tableNames) {
|
MybatisPlusConfig.tableName.set(tableName);
|
List<HistoryHourly> datas = historyHourlyMapper.selectList(wrapper);
|
result.addAll(datas);
|
}
|
MybatisPlusConfig.tableName.remove();
|
return result;
|
}
|
|
//最大值，最小值，平均值计算
|
private Double calculatedValue(Supplier<Stream<Map<String, Object>>> supplier, Sensor sensor, String type) {
|
String sensorCode = sensor.getCode();
|
Double upper = sensor.getUpper();
|
Double lower = sensor.getLower();
|
DoubleStream doubleStream = supplier.get()
|
.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 ("avg".equals(type) && 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 = null;
|
if ("avg".equals(type)) {
|
average = doubleStream.average();
|
} else if ("min".equals(type)) {
|
average = doubleStream.min();
|
} else if ("max".equals(type)) {
|
average = doubleStream.max();
|
}
|
|
if (average.isPresent()) {
|
//银行家算法修约
|
return AmendUtils.sciCal(average.getAsDouble(), 4);
|
}
|
return null;
|
}
|
}
|
