行业贡献率update

jinpengyong

2021-12-28 03791ab057f15d102bc20b83c687f8a8028a4b8f

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

@@ -5,27 +5,38 @@
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.entity.CityAqi;
import com.moral.api.entity.CityAqiDaily;
import com.moral.api.entity.CityAqiMonthly;
import com.moral.api.entity.CityAqiYearly;
import com.moral.api.entity.Forecast;
import com.moral.api.entity.Organization;
import com.moral.api.entity.SysArea;
import com.moral.api.mapper.CityAqiMapper;
import com.moral.api.mapper.ForecastMapper;
import com.moral.api.service.CityAqiDailyService;
import com.moral.api.service.CityAqiMonthlyService;
import com.moral.api.service.CityAqiService;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.moral.api.service.CityAqiYearlyService;
import com.moral.api.service.OrganizationService;
import com.moral.api.service.SysAreaService;
import com.moral.constant.Constants;
import com.moral.constant.RedisConstants;
import com.moral.pojo.AQI;
import com.moral.util.AQIUtils;
import com.moral.util.AmendUtils;
import com.moral.util.ComprehensiveIndexUtils;
import com.moral.util.DateUtils;

import com.moral.util.MathUtils;

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.text.DecimalFormat;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.DoubleStream;

/**
@@ -57,6 +68,12 @@
    @Autowired
    private CityAqiDailyService cityAqiDailyService;

    @Autowired
    private CityAqiMonthlyService cityAqiMonthlyService;

    @Autowired
    private CityAqiYearlyService cityAqiYearlyService;

    @Override
    public List<Map<String, Object>> measuredCompareForecastOfO3(Map<String, Object> params) {
        String regionCode = params.get("regionCode").toString();
@@ -85,7 +102,7 @@
                    Date date = (Date) forecastDatum.get("time");
                    String value = forecastDatum.get("value").toString();
                    Map<String, Object> data = JSONObject.parseObject(value, Map.class);
                    Object o3 = data.get("o3");
                    Object o3 = data.get("O3");
                    if (i == DateUtils.getHour(date) * 2) {
                        if (!ObjectUtils.isEmpty(o3)) {
                            map.put("O3", o3);
@@ -100,7 +117,7 @@
                    Date date = (Date) measuredDatum.get("time");
                    String value = measuredDatum.get("value").toString();
                    Map<String, Object> data = JSONObject.parseObject(value, Map.class);
                    Object o3 = data.get("o3");
                    Object o3 = data.get("O3");
                    if (i == (DateUtils.getHour(date) * 2 + 1)) {
                        if (!ObjectUtils.isEmpty(o3)) {
                            map.put("O3", o3);
@@ -119,9 +136,9 @@
        if (value == null)
            value = queryCityAqiByRegionCodeFromDB(regionCode);
        //根据AQI计算污染等级
        if (value == null || value.get("aqi") == null)
        if (value == null || value.get("AQI") == null)
            return null;
        Integer aqi = Integer.parseInt(value.get("aqi").toString());
        Integer aqi = Integer.parseInt(value.get("AQI").toString());
        String category = AQIUtils.classOfPollutionByAqi(aqi);
        value.put("category", category);
        return value;
@@ -159,17 +176,17 @@
            //按照时间进行排序
            cityAqis.sort(Comparator.comparing(CityAqi::getTime));
        }
        //封装返回数据,map的key为HH:mm格式的时间，value为aqi的数值
        //封装返回数据,map的key为yyyy-MM-dd HH:mm格式的时间，value为aqi的数值
        Map<String, Object> result = new LinkedHashMap<>();
        for (CityAqi aqi : cityAqis) {
            String key = DateUtils.dateToDateString(aqi.getTime(), "HH:mm");
            String key = DateUtils.dateToDateString(aqi.getTime(), "yyyy-MM-dd HH:mm");
            String allDataJson = aqi.getValue();
            if (allDataJson == null) {
                result.put(key, "");
                continue;
            }
            Map<String, Object> allDataMap = JSON.parseObject(allDataJson, Map.class);
            Object aqiData = allDataMap.get("aqi");
            Object aqiData = allDataMap.get("AQI");
            if (aqiData == null)
                result.put(key, "");
            else
@@ -178,10 +195,620 @@
        return result;
    }

    @Override
    public Map<String, Object> queryTodayAqiAndPollutant(Integer regionCode) {
        //获取今天的9点时间
        Date startDate = new Date(DateUtils.getTodayTime());
        Date endDate = new Date();
        //查询当天数据
        QueryWrapper<CityAqi> wrapper = new QueryWrapper<>();
        wrapper.between("time", startDate, endDate);
        wrapper.eq("city_code", regionCode);
        wrapper.select("DISTINCT city_code,time,value");
        List<CityAqi> cityAqis = cityAqiMapper.selectList(wrapper);
        //计算平均数
        Map<String, Object> sixParamAvg = calculate6ParamAvg(cityAqis);
        //计算累计aqi和首要污染物
        Map<String, Object> result = new HashMap<>();
        AQI aqi = AQIUtils.hourlyAQI(sixParamAvg);
        result.put("aqi", aqi.getAQIValue());
        result.put("pollutant", aqi.getPrimaryPollutantNames());
        //结果集添加时间
        CityAqi lastCityAqi = cityAqis.get(cityAqis.size() - 1);
        String time = DateUtils.dateToDateString(lastCityAqi.getTime(), "HH:mm");
        result.put("time", time);
        return result;
    }

    @Override
    public List<Map<String, Object>> rankingDetails(Map<String, Object> params) {
        List<Map<String, Object>> result = new ArrayList<>();
        int regionCode = Integer.parseInt(params.get("regionCode").toString());
        String type = params.get("type").toString();
        String time = null;
        if (!ObjectUtils.isEmpty(params.get("time"))) {
            time = params.get("time").toString();
        }
        String start = null;
        String end = null;
        if (!ObjectUtils.isEmpty(params.get("start")) || !ObjectUtils.isEmpty(params.get("end"))) {
            start = params.get("start").toString();
            end = params.get("end").toString();
        }
        String cityType = params.get("cityType").toString();

        String s = String.valueOf(regionCode);
        //获取当前省,市code
        Integer curProvinceCode = Integer.parseInt(s.substring(0, 2) + "0000");
        Integer curCityCode = Integer.parseInt(s.substring(0, 4) + "00");

        QueryWrapper<SysArea> areaWrapper = new QueryWrapper<>();
        if ("province".equals(cityType)) {
            //获取省内所有市
            areaWrapper.select("area_code").eq("parent_code", curProvinceCode);
        } else {
            //获取市内所有县区
            areaWrapper.select("area_code").eq("parent_code", curCityCode);
        }
        List<Object> regionCodes = sysAreaService.listObjs(areaWrapper);

        switch (type) {
            case "today":
                result = accumulatedTodayRank(regionCodes);
                break;
            case "hour":
                time = new StringBuilder(time).replace(10, 11, " ").toString() + ":00:00";
                result = hourRank(regionCodes, time);
                break;
            case "day":
                time = time + " 00:00:00";
                result = dayRank(regionCodes, time);
                break;
            case "month":
                time = time + "-01 00:00:00";
                result = monthRank(regionCodes, time);
                break;
            case "year":
                time = time + "-01-01 00:00:00";
                result = yearRank(regionCodes, time);
                break;
            case "custom":
                start = start + " 00:00:00";
                end = end + " :00:00";
                result = customRank(regionCodes, start, end);
                break;
            default:
                break;
        }
        return result;
    }

    /**
     * @param regionCodes 所要获取城市的地去编程集合
     * @return 功能：今日累计排名
     */
    private List<Map<String, Object>> accumulatedTodayRank(List<Object> regionCodes) {
        List<Map<String, Object>> result = new ArrayList<>();
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2", "CO", "O3");
        Date now = new Date();
        String today = DateUtils.dateToDateString(now, DateUtils.yyyy_MM_dd_EN);
        QueryWrapper<CityAqi> wrapper = new QueryWrapper<>();
        wrapper.select("city_code", "value")
                .ge("time", today)
                .in("city_code", regionCodes);
        List<Map<String, Object>> cumulativeData = cityAqiMapper.selectMaps(wrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> data = cumulativeData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        data.forEach((cityCode, value) -> {
            List<Double> doubles = new ArrayList<>();
            for (Map<String, Object> objectMap : value) {
                Object o = JSONObject.parseObject((String) objectMap.get("value"), Map.class).get("O3_8H");
                if (!ObjectUtils.isEmpty(o)) {
                    double v = Double.parseDouble(o.toString());
                    doubles.add(v);
                }
            }

            Map<String, Object> dataMap = new HashMap<>();
            sensors.forEach(sensor -> {
                OptionalDouble optionalDouble = value.parallelStream().flatMapToDouble(v -> {
                    Map<String, Object> sensorValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                    Object o = sensorValue.get(sensor);
                    if (ObjectUtils.isEmpty(o)) {
                        return null;
                    }
                    double aDouble = Double.parseDouble(o.toString());
                    return DoubleStream.of(aDouble);
                }).average();

                if (optionalDouble.isPresent()) {
                    //银行家算法修约
                    double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
                    if ("CO".equals(sensor)) {
                        sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 1);
                    }
                    dataMap.put(sensor, sciCal);
                }
            });

            //今日累计O3_8H计算,取每小时O3——8H最大值
            if (!ObjectUtils.isEmpty(doubles)) {
                dataMap.put("O3_8H", Collections.max(doubles));
            }

            //今日累计aqi,首要污染物计算
            Map<String, Object> sixParamMap = new HashMap<>();
            sixParamMap.put(Constants.SENSOR_CODE_PM25, dataMap.get("PM2_5"));
            sixParamMap.put(Constants.SENSOR_CODE_PM10, dataMap.get("PM10"));
            sixParamMap.put(Constants.SENSOR_CODE_SO2, dataMap.get("SO2"));
            sixParamMap.put(Constants.SENSOR_CODE_NO2, dataMap.get("NO2"));
            sixParamMap.put(Constants.SENSOR_CODE_CO, dataMap.get("CO"));
            sixParamMap.put(Constants.SENSOR_CODE_O3, dataMap.get("O3"));
            AQI aqi = AQIUtils.dailyAQI(sixParamMap);
            dataMap.put("AQI", aqi.getAQIValue());
            List<String> primaryPollutantNames = aqi.getPrimaryPollutantNames();
            String primaryPollutant = "";
            if (!ObjectUtils.isEmpty(primaryPollutantNames)) {
                primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(","));
            }
            dataMap.put("primaryPollutant", primaryPollutant);

            //今日累计综合指数计算,O3分综指用O3_8H计算
            Map<String, Object> compositeIndexMap = new HashMap<>(dataMap);
            compositeIndexMap.put("O3", compositeIndexMap.get("O3_8H"));
            Double compositeIndex = ComprehensiveIndexUtils.dailyData(compositeIndexMap);
            dataMap.put("compositeIndex", compositeIndex);

            //城市名
            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("area_name").eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(queryWrapper).getAreaName();
            dataMap.put("cityName", areaName);

            result.add(dataMap);
        });
        return result;
    }

    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-04 13:00:00
     * @return 功能：小时排名
     */
    private List<Map<String, Object>> hourRank(List<Object> regionCodes, String time) {
        List<Map<String, Object>> result = new ArrayList<>();
        QueryWrapper<CityAqi> wrapper = new QueryWrapper<>();
        wrapper.select("value")
                .eq("time", time)
                .in("city_code", regionCodes);
        List<Map<String, Object>> hourData = cityAqiMapper.selectMaps(wrapper);
        for (Map<String, Object> hourDatum : hourData) {
            Map<String, Object> value = JSONObject.parseObject((String) hourDatum.get("value"), Map.class);
            List<String> primaryPollutantNames = (List<String>) value.get("primaryPollutant");
            String primaryPollutant = "";
            if (!ObjectUtils.isEmpty(primaryPollutantNames)) {
                primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(","));
            }
            value.put("primaryPollutant", primaryPollutant);
            value.remove("pubtime");
            value.remove("rank");
            result.add(value);
        }
        return result;
    }

    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-04 00:00:00
     * @return 功能：日排名
     */
    private List<Map<String, Object>> dayRank(List<Object> regionCodes, String time) {
        List<Map<String, Object>> result = new ArrayList<>();
        QueryWrapper<CityAqiDaily> wrapper = new QueryWrapper<>();
        wrapper.select("city_code", "value")
                .eq("time", time)
                .in("city_code", regionCodes);
        List<Map<String, Object>> dayData = cityAqiDailyService.listMaps(wrapper);
        for (Map<String, Object> dayDatum : dayData) {
            Map<String, Object> value = JSONObject.parseObject((String) dayDatum.get("value"), Map.class);
            List<String> primaryPollutantNames = (List<String>) value.get("primaryPollutant");
            String primaryPollutant = "";
            if (!ObjectUtils.isEmpty(primaryPollutantNames)) {
                primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(","));
            }
            value.put("primaryPollutant", primaryPollutant);
            //城市名
            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("area_name")
                    .eq("area_code", dayDatum.get("city_code"));
            String areaName = sysAreaService.getOne(queryWrapper).getAreaName();
            value.put("cityName", areaName);
            result.add(value);
        }
        return result;
    }

    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-01 00:00:00 每月1号
     * @return 功能：月排名
     */
    private List<Map<String, Object>> monthRank(List<Object> regionCodes, String time) {
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
        List<Map<String, Object>> result = new ArrayList<>();
        //如果是本月,实时计算，其他直接从city_aqi_monthly获取
        if (!time.substring(0, 7).equals(DateUtils.dateToDateString(new Date(), DateUtils.yyyy_MM_EN))) {
            QueryWrapper<CityAqiMonthly> cityAqiMonthlyQueryWrapper = new QueryWrapper<>();
            for (Object regionCode : regionCodes) {
                cityAqiMonthlyQueryWrapper.clear();
                cityAqiMonthlyQueryWrapper.select("value")
                        .eq("city_code", regionCode)
                        .eq("time", time);
                CityAqiMonthly cityAqiMonthly = cityAqiMonthlyService.getOne(cityAqiMonthlyQueryWrapper);
                if (cityAqiMonthly == null) {
                    continue;
                }
                String value = cityAqiMonthly.getValue();
                Map<String, Object> resultMap = JSONObject.parseObject(value, Map.class);
                //城市名
                QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
                sysAreaQueryWrapper.select("area_name")
                        .eq("area_code", regionCode);
                String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
                resultMap.put("cityName", areaName);
                result.add(resultMap);
            }
            return result;
        }

        QueryWrapper<CityAqiDaily> cityAqiDailyQueryWrapper = new QueryWrapper<>();
        cityAqiDailyQueryWrapper.select("city_code", "value")
                .ge("time", time)
                .in("city_code", regionCodes);
        List<Map<String, Object>> thisMonthData = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> thisMonthMap = thisMonthData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        thisMonthMap.forEach((cityCode, value) -> {
            Map<String, Object> resultMap = new HashMap<>();

            Map<String, Object> params = new HashMap<>();
            List<Map<String, Object>> temp = new ArrayList<>();
            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("CO"));
                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)) {
                resultMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
            }

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

            sensors.forEach(sensor -> {
                OptionalDouble optionalDouble = value.parallelStream().flatMapToDouble(v -> {
                    Map<String, Object> sensorValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                    Object o = sensorValue.get(sensor);
                    if (ObjectUtils.isEmpty(o)) {
                        return null;
                    }
                    double aDouble = Double.parseDouble(o.toString());
                    return DoubleStream.of(aDouble);
                }).average();

                if (optionalDouble.isPresent()) {
                    //银行家算法修约
                    double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
                    resultMap.put(sensor, sciCal);
                }
            });

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

            //前端O3用O3_8H显示
            resultMap.put("O3_8H", resultMap.remove("O3"));

            //本月综指同上月对比
            Date lastMonth = DateUtils.addMonths(DateUtils.getDate(time), -1);
            QueryWrapper<CityAqiMonthly> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("value")
                    .eq("city_code", cityCode)
                    .eq("time", DateUtils.dateToDateString(lastMonth));
            //获取上月数据
            CityAqiMonthly lastCityAqiMonthly = cityAqiMonthlyService.getOne(queryWrapper);
            String monthContrast = "";
            if (lastCityAqiMonthly != null) {
                Map<String, Object> map = JSONObject.parseObject(lastCityAqiMonthly.getValue(), Map.class);
                double lastCompositeIndex = Double.parseDouble(map.get("compositeIndex").toString());
                DecimalFormat decimalFormat = new DecimalFormat("0.00%");
                monthContrast = decimalFormat.format((compositeIndex - lastCompositeIndex) / lastCompositeIndex);
            }
            resultMap.put("monthContrast", monthContrast);

            //城市名
            QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
            sysAreaQueryWrapper.select("area_name")
                    .eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
            resultMap.put("cityName", areaName);

            result.add(resultMap);
        });
        return result;
    }

    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-01 00:00:00 每年1月1号
     * @return 功能：年排名
     */
    private List<Map<String, Object>> yearRank(List<Object> regionCodes, String time) {
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
        List<Map<String, Object>> result = new ArrayList<>();
        //如果是本月,实时计算，其他直接从city_aqi_monthly获取
        if (!time.substring(0, 4).equals(DateUtils.dateToDateString(new Date(), DateUtils.yyyy))) {
            QueryWrapper<CityAqiYearly> cityAqiYearlyQueryWrapper = new QueryWrapper<>();
            for (Object regionCode : regionCodes) {
                cityAqiYearlyQueryWrapper.clear();
                cityAqiYearlyQueryWrapper.select("value")
                        .eq("city_code", regionCode)
                        .eq("time", time);
                CityAqiYearly cityAqiYearly = cityAqiYearlyService.getOne(cityAqiYearlyQueryWrapper);
                if (cityAqiYearly == null) {
                    continue;
                }
                String value = cityAqiYearly.getValue();
                Map<String, Object> resultMap = JSONObject.parseObject(value, Map.class);
                //城市名
                QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
                sysAreaQueryWrapper.select("area_name")
                        .eq("area_code", regionCode);
                String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
                resultMap.put("cityName", areaName);
                result.add(resultMap);
            }
            return result;
        }

        QueryWrapper<CityAqiDaily> cityAqiDailyQueryWrapper = new QueryWrapper<>();
        cityAqiDailyQueryWrapper.select("city_code", "value")
                .ge("time", time)
                .in("city_code", regionCodes);
        List<Map<String, Object>> thisMonthData = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> thisYearMap = thisMonthData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        thisYearMap.forEach((cityCode, value) -> {
            Map<String, Object> resultMap = new HashMap<>();

            Map<String, Object> params = new HashMap<>();
            List<Map<String, Object>> temp = new ArrayList<>();
            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("CO"));
                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)) {
                resultMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
            }

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

            sensors.forEach(sensor -> {
                OptionalDouble optionalDouble = value.parallelStream().flatMapToDouble(v -> {
                    Map<String, Object> sensorValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                    Object o = sensorValue.get(sensor);
                    if (ObjectUtils.isEmpty(o)) {
                        return null;
                    }
                    double aDouble = Double.parseDouble(o.toString());
                    return DoubleStream.of(aDouble);
                }).average();

                if (optionalDouble.isPresent()) {
                    //银行家算法修约
                    double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
                    resultMap.put(sensor, sciCal);
                }
            });

            //本年综指计算
            Double compositeIndex = ComprehensiveIndexUtils.dailyData(resultMap);
            resultMap.put("compositeIndex", compositeIndex);

            //前端O3用O3_8H显示
            resultMap.put("O3_8H", resultMap.remove("O3"));

            //本年综指同去年对比
            String lastYear = DateUtils.getDateAddYear(time.substring(0, 4), -1);
            QueryWrapper<CityAqiYearly> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("value")
                    .eq("city_code", cityCode)
                    .eq("time", lastYear);
            //获取去年数据
            CityAqiYearly lastCityAqiYearly = cityAqiYearlyService.getOne(queryWrapper);
            String yearContrast = "";
            if (lastCityAqiYearly != null) {
                Map<String, Object> map = JSONObject.parseObject(lastCityAqiYearly.getValue(), Map.class);
                double lastCompositeIndex = Double.parseDouble(map.get("compositeIndex").toString());
                DecimalFormat decimalFormat = new DecimalFormat("0.00%");
                yearContrast = decimalFormat.format((compositeIndex - lastCompositeIndex) / lastCompositeIndex);
            }
            resultMap.put("yearContrast", yearContrast);
            //城市名
            QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
            sysAreaQueryWrapper.select("area_name").eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
            resultMap.put("cityName", areaName);

            result.add(resultMap);
        });
        return result;
    }

    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param start       所要获取数据的开始时间,精确到日，2021-11-03 00:00:00
     * @param end         所要获取数据的结束时间,精确到日，2021-11-25 00:00:00
     * @return 功能：自定义排名
     */
    private List<Map<String, Object>> customRank(List<Object> regionCodes, String start, String end) {
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
        List<Map<String, Object>> result = new ArrayList<>();
        QueryWrapper<CityAqiDaily> cityAqiDailyQueryWrapper = new QueryWrapper<>();
        cityAqiDailyQueryWrapper.select("city_code", "value")
                .ge("time", start)
                .le("time", end)
                .in("city_code", regionCodes);
        List<Map<String, Object>> thisMonthData = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> customMap = thisMonthData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        customMap.forEach((cityCode, value) -> {
            Map<String, Object> resultMap = new HashMap<>();

            Map<String, Object> params = new HashMap<>();
            List<Map<String, Object>> temp = new ArrayList<>();
            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("CO"));
                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)) {
                resultMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
            }

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

            sensors.forEach(sensor -> {
                OptionalDouble optionalDouble = value.parallelStream().flatMapToDouble(v -> {
                    Map<String, Object> sensorValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                    Object o = sensorValue.get(sensor);
                    if (ObjectUtils.isEmpty(o)) {
                        return null;
                    }
                    double aDouble = Double.parseDouble(o.toString());
                    return DoubleStream.of(aDouble);
                }).average();

                if (optionalDouble.isPresent()) {
                    //银行家算法修约
                    double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
                    resultMap.put(sensor, sciCal);
                }
            });

            //自定义综指计算
            Double compositeIndex = ComprehensiveIndexUtils.dailyData(resultMap);
            resultMap.put("compositeIndex", compositeIndex);

            //前端O3用O3_8H显示
            resultMap.put("O3_8H", resultMap.remove("O3"));

            //城市名
            QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
            sysAreaQueryWrapper.select("area_name").eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
            resultMap.put("cityName", areaName);

            result.add(resultMap);
        });
        return result;
    }

    /**
     * @Description: 计算6参平均值
     * @Param: [cityAqiList]
     * @return: java.util.Map<java.lang.String, java.lang.Double>
     * 返回值key为sensorCode,value为值
     * @Author: 陈凯裕
     * @Date: 2021/11/2
     */
    private Map<String, Object> calculate6ParamAvg(List<CityAqi> cityAqiList) {
        Double co = calculateSensorAvg(cityAqiList, "CO");
        Double pm2_5 = calculateSensorAvg(cityAqiList, "PM2_5");
        Double pm10 = calculateSensorAvg(cityAqiList, "PM10");
        Double so2 = calculateSensorAvg(cityAqiList, "SO2");
        Double no2 = calculateSensorAvg(cityAqiList, "NO2");
        Double o3 = calculateSensorAvg(cityAqiList, "O3");
        Map<String, Object> result = new HashMap<>();
        result.put(Constants.SENSOR_CODE_CO, co);
        result.put(Constants.SENSOR_CODE_NO2, no2);
        result.put(Constants.SENSOR_CODE_SO2, so2);
        result.put(Constants.SENSOR_CODE_O3, o3);
        result.put(Constants.SENSOR_CODE_PM25, pm2_5);
        result.put(Constants.SENSOR_CODE_PM10, pm10);
        return result;
    }

    /**
     * @Description: 计算因子的平均值
     * @Param: [cityAqiList, sensor]
     * ，sensor是要计算的因子名称
     * @return: java.lang.Double
     * @Author: 陈凯裕
     * @Date: 2021/11/2
     */
    private Double calculateSensorAvg(List<CityAqi> cityAqiList, String sensor) {
        Double sum = 0d;
        int num = 0;
        for (CityAqi cityAqi : cityAqiList) {
            String value = cityAqi.getValue();
            if (value == null)
                continue;
            Map<String, Object> valueMap = JSON.parseObject(value, Map.class);
            Object sensorValueObject = valueMap.get(sensor);
            if (sensorValueObject == null)
                continue;
            Double sensorValue = Double.valueOf(sensorValueObject.toString());
            sum = MathUtils.add(sum, sensorValue);
            num++;
        }
        if (num == 0)
            return null;
        Double avg = MathUtils.division(sum, num, 2);
        return avg;
    }

    /**
     * @Description: 从数据库查询数据
     * @Param: [regionCode]
     * @return: java.util.Map<java.lang.String       ,       java.lang.Object>
     * @return: java.util.Map<java.lang.String, java.lang.Object>
     * @Author: 陈凯裕
     * @Date: 2021/10/28
     */
@@ -199,7 +826,7 @@
    }

    @Override
    public Map<String, Object> provincialRanking(Integer organizationId) {
    public Map<String, Object> provincialRanking(Integer regionCode) {
        //结果集
        Map<String, Object> result = new HashMap<>();

@@ -208,10 +835,10 @@
        Date yesterday = DateUtils.dataToTimeStampTime(DateUtils.getDateOfDay(now, -1), DateUtils.yyyy_MM_dd_EN);
        String dateString = DateUtils.dateToDateString(yesterday, DateUtils.yyyy_MM_dd_HH_mm_ss_EN);

        String s = String.valueOf(regionCode);
        //获取省,市code
        Organization organization = organizationService.getById(organizationId);
        Integer provinceCode = organization.getProvinceCode();
        Integer cityCode = organization.getCityCode();
        Integer provinceCode = Integer.parseInt(s.substring(0, 2) + "0000");
        Integer cityCode = Integer.parseInt(s.substring(0, 4) + "00");
        //获取省内所有city_code
        QueryWrapper<SysArea> wrapper = new QueryWrapper<>();
        wrapper.select("area_code").eq("parent_code", provinceCode);
@@ -229,9 +856,8 @@
            if (!ObjectUtils.isEmpty(one)) {
                String value = one.getValue();
                Map<String, Object> valueMap = JSONObject.parseObject(value, Map.class);
                rankMap.put("aqi", valueMap.get("aqi"));
                rankMap.put("AQI", valueMap.get("AQI"));
            }


            //2.本月累计综合指数计算，截止到昨日
            queryWrapper.clear();
@@ -270,11 +896,15 @@
        }

        //日排名，按aqi排序
        ranks.removeIf(o -> o.get("aqi") == null);
        sortByField(ranks, "aqi");
        ranks.removeIf(o -> o.get("AQI") == null);
        sortByField(ranks, "AQI");
        //日排名结果
        Map<String, Object> dayMap = rankByField(ranks, cityCode, "aqi", cityCodes.size());
        dayMap.put("aqi", dayMap.remove("value"));
        Map<String, Object> dayMap = rankByField(ranks, cityCode, "AQI", cityCodes.size());
        if (ObjectUtils.isEmpty(dayMap)) {
            dayMap.put("rank", null);
            dayMap.put("size", null);
        }
        dayMap.put("AQI", dayMap.remove("value"));
        result.put("day", dayMap);

        //月排名，按累计综指排
@@ -282,18 +912,27 @@
        sortByField(ranks, "compositeIndexMonth");
        //月排名结果
        Map<String, Object> monthMap = rankByField(ranks, cityCode, "compositeIndexMonth", cityCodes.size());
        if (ObjectUtils.isEmpty(monthMap)) {
            monthMap.put("rank", null);
            monthMap.put("size", null);
        }
        monthMap.put("compositeIndex", monthMap.remove("value"));
        result.put("month", monthMap);


        //年排名，按累计综指排
        sortByField(ranks, "compositeIndexYear");
        //年排名结果
        sortByField(ranks, "compositeIndexYear");
        Map<String, Object> yearMap = rankByField(ranks, cityCode, "compositeIndexYear", cityCodes.size());
        if (ObjectUtils.isEmpty(yearMap)) {
            yearMap.put("rank", null);
            yearMap.put("size", null);
        }
        yearMap.put("compositeIndex", yearMap.remove("value"));
        result.put("year", yearMap);

        //时间，昨日
        result.put("time", DateUtils.dateToDateString(yesterday, DateUtils.yyyy_MM_dd_EN));
        return result;
    }

@@ -318,7 +957,8 @@
            Map<String, Object> map = list.get(i);
            if (cityCode == (int) map.get("cityCode")) {
                int rank = i + 1;
                result.put("rank", rank + "/" + size);
                result.put("rank", rank);
                result.put("size", size);
                Object value = map.get(rankField);
                result.put("value", value);
                break;
@@ -326,5 +966,4 @@
        }
        return result;
    }

}