~chenjialiang/moral.git

			@@ -16,6 +16,7 @@
			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;
			@@ -29,8 +30,10 @@
			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>
			@@ -58,6 +61,11 @@
			@Override
			public void createTable(String timeUnits) {
			historyHourlyMapper.createTable(timeUnits);
			}

			@Override
			public void createTableComplete(String timeUnits) {
			historyHourlyMapper.createTableComplete(timeUnits);
			}

			@Override
			@@ -236,13 +244,113 @@
			* @Date: 2021/9/23
			*/
			@Override
			public List<HistoryHourly> getValueByMacAndTime(String mac, Date startDate, Date endDate){
			public List<HistoryHourly> getValueByMacAndTime(String mac, Date startDate, Date endDate) {
			QueryWrapper<HistoryHourly> wrapper = new QueryWrapper<>();
			wrapper.eq("mac",mac);
			wrapper.between("time",startDate,endDate);
			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);
			}

			/**
			@@ -252,7 +360,7 @@
			* @Author: 陈凯裕
			* @Date: 2021/9/23
			*/
			private List<HistoryHourly> multiTableQuery(QueryWrapper<HistoryHourly> wrapper,List<String> tableNames){
			private List<HistoryHourly> multiTableQuery(QueryWrapper<HistoryHourly> wrapper, List<String> tableNames) {
			List<HistoryHourly> result = new ArrayList<>();
			for (String tableName : tableNames) {
			MybatisPlusConfig.tableName.set(tableName);
			@@ -262,4 +370,56 @@
			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;
			}
			}