screen-api 增加获取简报接口

kaiyu

2022-03-14 5236663d1e40ca9ed0cbc0885cbc67a67c47943f

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

@@ -3,16 +3,25 @@
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.config.properties.SpecialCitiesProperties;
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.pojo.dto.cityAQI.CityPollutionLevel;
import com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent;
import com.moral.api.pojo.form.aqi.AirQualityComparisonForm;
import com.moral.api.pojo.vo.cityAQI.AirQualityComparisonVO;
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;
@@ -20,6 +29,7 @@
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;
@@ -29,7 +39,9 @@
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;

/**
@@ -53,13 +65,19 @@
    private RedisTemplate redisTemplate;

    @Autowired
    private OrganizationService organizationService;

    @Autowired
    private SysAreaService sysAreaService;

    @Autowired
    private CityAqiDailyService cityAqiDailyService;

    @Autowired
    private CityAqiMonthlyService cityAqiMonthlyService;

    @Autowired
    private CityAqiYearlyService cityAqiYearlyService;

    @Autowired
    private SpecialCitiesProperties specialCitiesProperties;

    @Override
    public List<Map<String, Object>> measuredCompareForecastOfO3(Map<String, Object> params) {
@@ -122,6 +140,21 @@
        Map<String, Object> value = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstants.CITY_AQI, String.valueOf(regionCode));
        if (value == null)
            value = queryCityAqiByRegionCodeFromDB(regionCode);
        //如果地区码是县级市则转换到市级在进行查询
        if (value == null) {
            String regionCodeStr = String.valueOf(regionCode);
            String end = regionCodeStr.substring(regionCodeStr.length() - 2, regionCodeStr.length());
            if (!end.equals(00)) {
                regionCodeStr = regionCodeStr.substring(0, regionCodeStr.length() - 2);
                regionCodeStr += "00";
                regionCode = Integer.parseInt(regionCodeStr);
                value = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstants.CITY_AQI, String.valueOf(regionCode));
                if (value == null)
                    value = queryCityAqiByRegionCodeFromDB(regionCode);
            } else {
                return null;
            }
        }
        //根据AQI计算污染等级
        if (value == null || value.get("AQI") == null)
            return null;
@@ -139,6 +172,8 @@
        lastDataWrapper.orderByDesc("time");
        lastDataWrapper.last(true, "limit 1");
        CityAqi cityAqi = cityAqiMapper.selectOne(lastDataWrapper);
        if (cityAqi == null)
            return null;
        //算出前24小时的时间点
        Date endDate = cityAqi.getTime();
        Date startDate = DateUtils.addHours(endDate, -23);
@@ -163,10 +198,10 @@
            //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, "");
@@ -198,8 +233,8 @@
        //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());
        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");
@@ -207,64 +242,590 @@
        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);
    @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<>();

        List<SysArea> sysAreas;
        if ("28".equals(cityType)) {
            //获取2+26城市
            sysAreas = specialCitiesProperties.getTwentyEightCities();
        } else {
            if ("province".equals(cityType)) {
                //获取省内所有市
                areaWrapper.select("area_code", "area_name").eq("parent_code", curProvinceCode);
            } else {
                //获取市内所有县区
                areaWrapper.select("area_code", "area_name").eq("parent_code", curCityCode);
            }
            sysAreas = sysAreaService.list(areaWrapper);
        }

        switch (type) {
            case "today":
                result = accumulatedTodayRank(sysAreas);
                break;
            case "hour":
                time = new StringBuilder(time).replace(10, 11, " ").toString() + ":00:00";
                result = hourRank(sysAreas, time);
                break;
            case "day":
                time = time + " 00:00:00";
                result = dayRank(sysAreas, time);
                break;
            case "month":
                time = time + "-01 00:00:00";
                result = monthRank(sysAreas, time);
                break;
            case "year":
                time = time + "-01-01 00:00:00";
                result = yearRank(sysAreas, time);
                break;
            case "custom":
                start = start + " 00:00:00";
                end = end + " :00:00";
                result = customRank(sysAreas, start, end);
                break;
            default:
                break;
        }
        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
     * @param sysAreas 所要获取城市集合
     * @return 功能：今日累计排名
     */
    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;
    private List<Map<String, Object>> accumulatedTodayRank(List<SysArea> sysAreas) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());

        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<Integer, List<Map<String, Object>>> data = cumulativeData.parallelStream().collect(Collectors.groupingBy(o -> Integer.parseInt(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
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    dataMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(dataMap);
        });
        return result;
    }

    /**
     * @param sysAreas 所要获取城市集合
     * @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<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());

        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 sysAreas 所要获取城市集合
     * @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<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());

        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
            for (SysArea sysArea : sysAreas) {
                if (dayDatum.get("city_code").equals(sysArea.getAreaCode())) {
                    value.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(value);
        }
        return result;
    }

    /**
     * @param sysAreas 所要获取城市集合
     * @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<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());

        //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<>();
        //如果部是本月,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 (Integer 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
                for (SysArea sysArea : sysAreas) {
                    if (regionCode.equals(sysArea.getAreaCode())) {
                        resultMap.put("cityName", sysArea.getAreaName());
                        break;
                    }
                }
            }
            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<Integer, List<Map<String, Object>>> thisMonthMap = thisMonthData.parallelStream()
                .collect(Collectors.groupingBy(o -> Integer.parseInt(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
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    resultMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(resultMap);
        });
        return result;
    }

    /**
     * @param sysAreas 所要获取城市集合
     * @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<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());

        //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 (Integer 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
                for (SysArea sysArea : sysAreas) {
                    if (regionCode.equals(sysArea.getAreaCode())) {
                        resultMap.put("cityName", sysArea.getAreaName());
                        break;
                    }
                }
                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<Integer, List<Map<String, Object>>> thisYearMap = thisMonthData.parallelStream()
                .collect(Collectors.groupingBy(o -> Integer.parseInt(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
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    resultMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(resultMap);
        });
        return result;
    }

    /**
     * @param sysAreas 所要获取城市集合
     * @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<SysArea> sysAreas, String start, String end) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());

        //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<Integer, List<Map<String, Object>>> customMap = thisMonthData.parallelStream()
                .collect(Collectors.groupingBy(o -> Integer.parseInt(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
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    resultMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(resultMap);
        });
        return result;
    }


    /**
     * @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
     */
@@ -282,7 +843,7 @@
    }

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

@@ -291,10 +852,10 @@
        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);
@@ -312,9 +873,8 @@
            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();
@@ -353,15 +913,15 @@
        }

        //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());
        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"));
        dayMap.put("AQI", dayMap.remove("value"));
        result.put("day", dayMap);

        //月排名，按累计综指排
@@ -378,8 +938,6 @@

        //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);
@@ -392,6 +950,161 @@
        result.put("time", DateUtils.dateToDateString(yesterday, DateUtils.yyyy_MM_dd_EN));
        return result;
    }

    @Override
    public List<AirQualityComparisonVO> queryAirQualityComparison(AirQualityComparisonForm form) {
        //取参
        Integer regionCode = form.getRegionCode();
        String regionType = form.getRegionType();
        Date startDate = form.getStartDate();
        Date endDate = form.getEndDate();
        Date comparisonStartDate = form.getComparisonStartDate();
        Date comparisonEndDate = form.getComparisonEndDate();
        String dateType = form.getDateType();
        //获取城市/区县
        List<SysArea> areas = getSysAreasByRegionType(regionType, regionCode);
        if (ObjectUtils.isEmpty(areas))
            return null;
        List<AirQualityComparisonVO> vos = new ArrayList<>();
        for (SysArea area : areas) {
            //获取查询时间和对比时间的6参和综合指数
            Map<String, Object> data = getDataByTimeTypeAndRegionCode(dateType, startDate, endDate, area.getAreaCode());
            Map<String, Object> comparisonData = getDataByTimeTypeAndRegionCode(dateType, comparisonStartDate, comparisonEndDate, area.getAreaCode());
            if (ObjectUtils.isEmpty(data) || ObjectUtils.isEmpty(comparisonData))
                continue;
            //查询优良天数以及重污染天数
            CityPollutionLevel days = cityAqiDailyService.calculateDaysByTimeAndSysArea(area, startDate, endDate);
            CityPollutionLevel comparisonDays = cityAqiDailyService.calculateDaysByTimeAndSysArea(area, comparisonStartDate, comparisonEndDate);
            int fineDays = days.getExcellentWeatherDays() + days.getGoodWeatherDays();
            int serverDays = days.getSeriousWeatherDays() + days.getServerWeatherDays();
            int comparisonFineDays = comparisonDays.getExcellentWeatherDays() + comparisonDays.getGoodWeatherDays();
            int comparisonServerDays = comparisonDays.getSeriousWeatherDays() + comparisonDays.getServerWeatherDays();
            //对比6参和综合指数
            Map<String, ConcentrationAndPercent> sixParamAndComIndexResult = contrastSixParamAndComIndex(data, comparisonData);
            //对比优良天数以及重污染天气数
            ConcentrationAndPercent fine = contrastDays(fineDays, comparisonFineDays);
            ConcentrationAndPercent server = contrastDays(serverDays, comparisonServerDays);
            //创建返回对象
            AirQualityComparisonVO vo = new AirQualityComparisonVO();
            vo.setFineDays(fine);
            vo.setServerDays(server);
            vo.setCO(sixParamAndComIndexResult.get("CO"));
            vo.setO3(sixParamAndComIndexResult.get("O3"));
            vo.setPM25(sixParamAndComIndexResult.get("PM2_5"));
            vo.setPM10(sixParamAndComIndexResult.get("PM10"));
            vo.setSO2(sixParamAndComIndexResult.get("SO2"));
            vo.setNO2(sixParamAndComIndexResult.get("NO2"));
            vo.setCompositeIndex(sixParamAndComIndexResult.get("compositeIndex"));
            vo.setCityName(area.getAreaName());
            vos.add(vo);
        }
        return vos;
    }

    /**
     * @Description: 计算6参和综合指数对比的百分比
     * @Param: [data, comparisonData]
     * @return: java.util.Map<java.lang.String                               ,                               com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent>
     * @Author: 陈凯裕
     * @Date: 2022/1/17
     */
    private Map<String, ConcentrationAndPercent> contrastSixParamAndComIndex(Map<String, Object> data, Map<String, Object> comparisonData) {
        Map<String, ConcentrationAndPercent> result = new HashMap<>();
        result.put("CO", contrastParam(Double.parseDouble(data.get("CO").toString()), Double.parseDouble(comparisonData.get("CO").toString()), "CO"));
        result.put("NO2", contrastParam(Double.parseDouble(data.get("NO2").toString()), Double.parseDouble(comparisonData.get("NO2").toString()), "NO2"));
        result.put("SO2", contrastParam(Double.parseDouble(data.get("SO2").toString()), Double.parseDouble(comparisonData.get("SO2").toString()), "SO2"));
        result.put("O3", contrastParam(Double.parseDouble(data.get("O3").toString()), Double.parseDouble(comparisonData.get("O3").toString()), "O3"));
        result.put("PM2_5", contrastParam(Double.parseDouble(data.get("PM2_5").toString()), Double.parseDouble(comparisonData.get("PM2_5").toString()), "PM2_5"));
        result.put("PM10", contrastParam(Double.parseDouble(data.get("PM10").toString()), Double.parseDouble(comparisonData.get("PM10").toString()), "PM10"));
        result.put("compositeIndex", contrastParam(Double.parseDouble(data.get("compositeIndex").toString()), Double.parseDouble(comparisonData.get("compositeIndex").toString()), "compositeIndex"));
        return result;
    }

    /**
     * @Description: 计算6参和综合指数同比/环比百分比数据
     * @Param: [data, comparisonData]
     * @return: com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent
     * @Author: 陈凯裕
     * @Date: 2022/1/17
     */
    private ConcentrationAndPercent contrastParam(Double data, Double comparisonData, String sensor) {
        double percentD = MathUtils.division(data - comparisonData, comparisonData, 4);
        String percent = MathUtils.mul(percentD,100d) + "%";
        ConcentrationAndPercent concentrationAndPercent = new ConcentrationAndPercent();
        concentrationAndPercent.setPercent(percent);
        if (sensor.equals("CO")) {//CO小数点保留一位
            Double CO = AmendUtils.sciCal(data, 1);
            concentrationAndPercent.setConcentration(CO.toString());
        }else if (sensor.equals("compositeIndex")){
            concentrationAndPercent.setConcentration(data.toString());
        }else{
            Double sensorD = AmendUtils.sciCal(data, 0);
            Integer sensorI = new Double(sensorD).intValue();
            concentrationAndPercent.setConcentration(sensorI.toString());
        }
        return concentrationAndPercent;
    }

    /**
     * @Description: 对比天数，返回天数差值
     * @Param: [days, comparisonDays]
     * @return: com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent
     * @Author: 陈凯裕
     * @Date: 2022/1/17
     */
    private ConcentrationAndPercent contrastDays(Integer days, Integer comparisonDays) {
        ConcentrationAndPercent concentrationAndPercent = new ConcentrationAndPercent();
        concentrationAndPercent.setConcentration(days.toString());
        Integer result = days - comparisonDays;
        concentrationAndPercent.setPercent(result.toString() + "天");
        return concentrationAndPercent;
    }

    /**
     * @Description: 根据时间类型查询对应的6参以及综合指数，自定义时间类型用日数据做均值处理
     * @Param: [comparisonType, startDate, endDate, regionCode]
     * @return: java.util.Map<java.lang.String                                                               ,                                                               java.lang.Object>
     * @Author: 陈凯裕
     * @Date: 2022/1/17
     */
    private Map<String, Object> getDataByTimeTypeAndRegionCode(String TimeType, Date startDate, Date endDate, Integer regionCode) {
        Map<String, Object> data;
        if (Constants.MONTH.equals(TimeType) && (!DateUtils.isCurrentMonth(startDate) || !DateUtils.isCurrentYear(startDate))) {//月数据处理 不包括本月
            List<CityAqiMonthly> cityAqis = cityAqiMonthlyService.getCityAqiMonthByRegionCodeAndTime(regionCode, startDate, endDate);
            if (ObjectUtils.isEmpty(cityAqis))
                return null;
            data = JSON.parseObject(cityAqis.get(0).getValue(), Map.class);
        } else if (Constants.YEAR.equals(TimeType) && (!DateUtils.isCurrentYear(startDate))) {//年数据处理 不包括本年
            List<CityAqiYearly> cityAqis = cityAqiYearlyService.getCityAqiYearlyByRegionCodeAndTime(regionCode, startDate, endDate);
            if (ObjectUtils.isEmpty(cityAqis))
                return null;
            data = JSON.parseObject(cityAqis.get(0).getValue(), Map.class);
        } else {//自定义数据处理
            List<CityAqiDaily> cityAqis = cityAqiDailyService.getCityAqiDailyByRegionCodeAndTime(regionCode, startDate, endDate);
            if (ObjectUtils.isEmpty(cityAqis))
                return null;
            List<CityAqi> newCityAqis = new ArrayList<>();
            List<Map<String, Object>> dailyDataMaps = new ArrayList<>();
            cityAqis.forEach((value) -> {
                newCityAqis.add(new CityAqi(value));
                dailyDataMaps.add(JSON.parseObject(value.getValue(), Map.class));
            });
            //计算均值
            data = calculate6ParamAvg(newCityAqis);
            //小数点处理
            data.put("CO", Double.parseDouble(data.remove(Constants.SENSOR_CODE_CO).toString()));
            data.put("NO2", Double.parseDouble(data.remove(Constants.SENSOR_CODE_NO2).toString()));
            data.put("SO2", Double.parseDouble(data.remove(Constants.SENSOR_CODE_SO2).toString()));
            data.put("O3", Double.parseDouble(data.remove(Constants.SENSOR_CODE_O3).toString()));
            data.put("PM2_5", Double.parseDouble(data.remove(Constants.SENSOR_CODE_PM25).toString()));
            data.put("PM10", Double.parseDouble(data.remove(Constants.SENSOR_CODE_PM10).toString()));
            //计算综合指数
            Double compositeIndex = ComprehensiveIndexUtils.dailyData(data);
            data.put("compositeIndex", compositeIndex);
        }
        return data;
    }


    //按某字段排序
    private void sortByField(List<Map<String, Object>> list, String sortField) {
@@ -424,4 +1137,75 @@
        return result;
    }

    /**
     * @Description: 根据类型和地区码获取所有的城市或者区县
     * @Param: [regionType, regionCode]
     * @return: java.util.List<com.moral.api.entity.SysArea>
     * @Author: 陈凯裕
     * @Date: 2022/1/14
     */
    private List<SysArea> getSysAreasByRegionType(String regionType, Integer regionCode) {
        List<SysArea> areas;
        if (regionType.equals(Constants.TWENTY_EIGHT_CITIES)) {
            SpecialCitiesProperties properties = new SpecialCitiesProperties();
            areas = properties.getTwentyEightCities();
        } else {
            areas = sysAreaService.getChildren(regionCode);
        }
        return areas;
    }

    /**
     * @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;
    }
}