~chenjialiang/moral.git

			@@ -8,7 +8,6 @@
			import com.moral.api.service.CityAqiDailyService;
			import com.moral.api.service.CityAqiYearlyService;
			import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
			import com.moral.constant.Constants;
			import com.moral.util.AmendUtils;
			import com.moral.util.ComprehensiveIndexUtils;
			import com.moral.util.DateUtils;
			@@ -24,9 +23,7 @@
			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;

			/**
			* <p>
			@@ -48,8 +45,12 @@

			@Override
			public void insertCityAqiYearly() {
			//需要均值计算的因子
			List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
			/*
			* 年均值算法
			* PM2.5,PM10,CO,日均值95百分位
			* SO2,NO2,日均值98百分位
			* O3，日最大值90百分位
			* */

			//开始时间，去年1号
			Date start = DateUtils.getFirstDayOfLastYear();
			@@ -59,7 +60,7 @@
			Date end = DateUtils.getDate(DateUtils.getDateAddYear(DateUtils.dateToDateString(start, DateUtils.yyyy), 1), DateUtils.yyyy);


			//获取所有城市aqi小时数据
			//获取所有城市aqi日数据
			QueryWrapper<CityAqiDaily> wrapper = new QueryWrapper<>();
			wrapper.select("city_code", "time", "value")
			.ge("time", DateUtils.dateToDateString(start))
			@@ -70,74 +71,67 @@
			return;
			}
			//按city_code分组
			Map<String, List<Map<String, Object>>> data = monthlyData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
			Map<String, List<Map<String, Object>>> data = monthlyData.stream()
			.collect(Collectors.groupingBy(o -> o.get("city_code").toString()));

			CityAqiYearly cityAqiYearly = new CityAqiYearly();
			//上年数据
			QueryWrapper<CityAqiYearly> queryWrapper = new QueryWrapper<>();
			queryWrapper.select("city_code", "value")
			.eq("time", DateUtils.dateToDateString(lastLastYear));
			//获取上年数据
			List<CityAqiYearly> lastCityAqiYearly = cityAqiYearlyMapper.selectList(queryWrapper);
			Map<Integer, List<CityAqiYearly>> lastYearData = lastCityAqiYearly.stream()
			.collect(Collectors.groupingBy(CityAqiYearly::getCityCode));

			List<CityAqiYearly> cityAqiYearlyList = new ArrayList<>();

			data.forEach((cityCode, value) -> {
			CityAqiYearly cityAqiYearly = new CityAqiYearly();
			Map<String, Object> jsonMap = new HashMap<>();
			cityAqiYearly.setCityCode(Integer.parseInt(cityCode));
			cityAqiYearly.setTime(start);

			//PM2.5
			Double pm25Avg = AmendUtils.getAvgOfYear(value, "PM2_5");
			jsonMap.put("PM2_5", pm25Avg);

			Map<String, Object> params = new HashMap<>();
			List<Map<String, Object>> temp = new ArrayList<>();
			//PM10
			Double pm10Avg = AmendUtils.getAvgOfYear(value, "PM10");
			jsonMap.put("PM10", pm10Avg);

			for (Map<String, Object> map : value) {
			Map<String, Object> sensorsValue = JSONObject.parseObject(map.get("value").toString(), Map.class);
			Map<String, Object> tempMap = new HashMap<>();
			tempMap.put(Constants.SENSOR_CODE_CO, sensorsValue.get("PM2_5"));
			tempMap.put(Constants.SENSOR_CODE_O3, sensorsValue.get("O3"));
			Map<String, Object> hashMap = new HashMap<>();
			hashMap.put("value", JSONObject.toJSONString(tempMap));
			temp.add(hashMap);
			}
			params.put("data", temp);
			//1. CO 95百分位计算并修约
			Map<String, Object> coAvgOfWeekOrMonth = AmendUtils.getCOAvgOfWeekOrMonth(params);
			if (!ObjectUtils.isEmpty(coAvgOfWeekOrMonth)) {
			jsonMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
			}
			//SO2
			Double so2Avg = AmendUtils.getAvgOfYear(value, "SO2");
			jsonMap.put("SO2", so2Avg);

			//2. O3 90百分位计算并修约
			Map<String, Object> o3AvgOfWeekOrMonth = AmendUtils.getO3AvgOfWeekOrMonth(params);
			if (!ObjectUtils.isEmpty(o3AvgOfWeekOrMonth)) {
			jsonMap.put("O3", o3AvgOfWeekOrMonth.get(Constants.SENSOR_CODE_O3));
			}
			//NO2
			Double no2Avg = AmendUtils.getAvgOfYear(value, "NO2");
			jsonMap.put("NO2", no2Avg);

			sensors.forEach(sensor -> {
			OptionalDouble optionalDouble = value.parallelStream().flatMapToDouble(v -> {
			Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
			double aDouble = Double.parseDouble(dataValue.get(sensor).toString());
			return DoubleStream.of(aDouble);
			}).average();
			if (optionalDouble.isPresent()) {
			//银行家算法修约
			jsonMap.put(sensor, AmendUtils.sciCal(optionalDouble.getAsDouble(), 0));
			}
			});
			//CO
			Double coAvg = AmendUtils.getAvgOfYear(value, "CO");
			jsonMap.put("CO", coAvg);

			//O3
			Double o3Avg = AmendUtils.getAvgOfYear(value, "O3");
			jsonMap.put("O3", o3Avg);

			//本月月综指计算
			Double compositeIndex = ComprehensiveIndexUtils.dailyData(jsonMap);
			jsonMap.put("compositeIndex", compositeIndex);

			//本月综指同上月对比
			QueryWrapper<CityAqiYearly> queryWrapper = new QueryWrapper<>();
			queryWrapper.select("value")
			.eq("city_code", cityCode)
			.eq("time", DateUtils.dateToDateString(lastLastYear));
			//获取上上月数据
			CityAqiYearly lastCityAqiYearly = cityAqiYearlyMapper.selectOne(queryWrapper);
			if (lastCityAqiYearly != null) {
			Map<String, Object> map = JSONObject.parseObject(lastCityAqiYearly.getValue(), Map.class);
			//上年数据同本年对比
			List<CityAqiYearly> cityAqiYearlies = lastYearData.get(Integer.parseInt(cityCode));
			if (!ObjectUtils.isEmpty(cityAqiYearlies)) {
			CityAqiYearly yearly = cityAqiYearlies.get(0);
			Map<String, Object> map = JSONObject.parseObject(yearly.getValue(), Map.class);
			double lastCompositeIndex = Double.parseDouble(map.get("compositeIndex").toString());
			DecimalFormat decimalFormat = new DecimalFormat("0.00%");
			String format = decimalFormat.format((compositeIndex - lastCompositeIndex) / lastCompositeIndex);
			jsonMap.put("yearContrast", format);
			}
			cityAqiYearly.setValue(JSONObject.toJSONString(jsonMap));
			cityAqiYearlyMapper.insert(cityAqiYearly);
			cityAqiYearlyList.add(cityAqiYearly);
			});


			cityAqiYearlyMapper.insertCityAqiYearly(cityAqiYearlyList);
			}
			}