chore:权限修改提交

jinpengyong

2023-11-08 31c65cd4f338256b76efebdb2f1f29deb170969f

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

@@ -1,6 +1,7 @@
package com.moral.api.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.config.properties.SpecialCitiesProperties;
import com.moral.api.entity.CityAqi;
@@ -9,12 +10,15 @@
import com.moral.api.entity.SysArea;
import com.moral.api.mapper.CityAqiYearlyMapper;
import com.moral.api.pojo.dto.cityAQI.CityPollutionLevel;
import com.moral.api.pojo.dto.cityAQI.ComplianceDaysDTO;
import com.moral.api.pojo.dto.cityAQI.DataPercentRange;
import com.moral.api.pojo.vo.cityAQI.ComplianceDaysVO;
import com.moral.api.service.CityAqiDailyService;
import com.moral.api.service.CityAqiYearlyService;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.moral.api.service.SysAreaService;
import com.moral.constant.Constants;
import com.moral.util.AQIUtils;
import com.moral.util.AmendUtils;
import com.moral.util.DateUtils;
import com.moral.util.MathUtils;
@@ -23,6 +27,7 @@
import org.springframework.util.ObjectUtils;

import java.text.DateFormat;
import java.text.SimpleDateFormat;
import java.util.*;

/**
@@ -86,15 +91,153 @@
        DataPercentRange fineDays = calculateFineDays(cities, twentyEightCities, heBeiEightCities, startDate, endDate, city);
        //计算6参以及综合指数排名
        Map<String, DataPercentRange> sixParamMap = calculateSixParam(thisYear, startDate, endDate, city, cities, twentyEightCities, heBeiEightCities);
        Map<String,DataPercentRange> result = new HashMap<>();
        if(fineDays!=null)
            result.put("fineDays",fineDays);
        if(sixParamMap!=null)
        Map<String, DataPercentRange> result = new HashMap<>();
        if (fineDays != null)
            result.put("fineDays", fineDays);
        if (sixParamMap != null)
            result.putAll(sixParamMap);
        if(result.size()==0)
        if (result.size() == 0)
            return null;
        return result;
    }

    @Override
    public List<ComplianceDaysDTO> analysisComplianceDays(String year, Integer cityCode) {
        List<ComplianceDaysDTO> dtos = new ArrayList<>();
        //获取指定年份开始结束时间
        Date posYear = DateUtils.getDate(year, "yyyy");
        Date posYearStartDate = DateUtils.getFirstDayOfYear(posYear);
        Date posYearEndDate = DateUtils.getLastDayOfYear(posYear);
        //获取同比年份开始结束时间
        String comYearStr = (Integer.parseInt(year)-1)+"";
        Date comYear = DateUtils.getDate(comYearStr,"yyyy");
        Date comYearStartDate = DateUtils.getFirstDayOfYear(comYear);
        Date comYearEndDate = DateUtils.getLastDayOfYear(comYear);
        //查询指定年和同比年的数据
        List<CityAqiDaily> posYearDatas = cityAqiDailyService.getCityAqiDailyByRegionCodeAndTime(cityCode, posYearStartDate, posYearEndDate);
        List<CityAqiDaily> comYearDatas = cityAqiDailyService.getCityAqiDailyByRegionCodeAndTime(cityCode, comYearStartDate, comYearEndDate);
        //计算指定年份最大月份
        int month = maxMonth(posYearDatas);
        if(month==0)
            return dtos;
        //循环计算每个月的数据
        for (int i = 1; i <= month; i++) {
            ComplianceDaysDTO dto = analysisComplianceDaysForMonth(posYearDatas, comYearDatas, i);
            dtos.add(dto);
        }
        return dtos;
    }

    //计算每个月的达标天数统计分析数据
    private ComplianceDaysDTO analysisComplianceDaysForMonth(List<CityAqiDaily> posYearDatas,
                                                            List<CityAqiDaily> comYearDatas,
                                                            int month){
        ComplianceDaysDTO dto = new ComplianceDaysDTO();
        //取出指定月份数据
        List<CityAqiDaily> posMonthDatas = new ArrayList<>();
        List<CityAqiDaily> comMonthDatas = new ArrayList<>();
        for (CityAqiDaily posYearData : posYearDatas) {
            Date time = posYearData.getTime();
            if(DateUtils.getMonth(time)==month)
                posMonthDatas.add(posYearData);
        }
        for (CityAqiDaily comYearData : comYearDatas) {
            Date time = comYearData.getTime();
            if(DateUtils.getMonth(time)==month)
                comMonthDatas.add(comYearData);
        }
        //计算指定年份对应的月份数据
        for (CityAqiDaily posMonthData : posMonthDatas) {
            //获取数据
            Map<String,String> dataMap = JSON.parseObject(posMonthData.getValue(),Map.class);
            String aqi = String.valueOf(dataMap.get("AQI"));
            String PM2_5 = String.valueOf(dataMap.get("PM2_5"));
            String PM10 = String.valueOf(dataMap.get("PM10"));
            String SO2 = String.valueOf(dataMap.get("SO2"));
            String NO2 = String.valueOf(dataMap.get("NO2"));
            String O3 = String.valueOf(dataMap.get("O3"));
            String CO = String.valueOf(dataMap.get("CO"));
            //判断aqi以及6因子是否达标
            if(aqi!=null){
                if(AQIUtils.aqiIsStandard(Integer.parseInt(aqi)))
                    dto.setAqiComplianceDays(dto.getAqiComplianceDays()+1);
            }
            if(PM2_5!=null){
                if(!AQIUtils.PM2_5IsStandard(Double.parseDouble(PM2_5)))
                    dto.setPM2_5Days(dto.getPM2_5Days()+1);
            }
            if(PM10!=null){
                if(!AQIUtils.PM10IsStandard(Double.parseDouble(PM10)))
                    dto.setPM10Days(dto.getPM10Days()+1);
            }
            if(SO2!=null){
                if(!AQIUtils.SO2IsStandard(Double.parseDouble(SO2)))
                    dto.setSO2Days(dto.getSO2Days()+1);
            }
            if(NO2!=null){
                if(!AQIUtils.NO2IsStandard(Double.parseDouble(NO2)))
                    dto.setNO2Days(dto.getNO2Days()+1);
            }
            if(O3!=null){
                if(!AQIUtils.O3IsStandard(Double.parseDouble(O3)))
                    dto.setO3Days(dto.getO3Days()+1);
            }
            if(CO!=null){
                if(!AQIUtils.COIsStandard(Double.parseDouble(CO)))
                    dto.setCODays(dto.getCODays()+1);
            }
            //获取首要污染物
            Object primaryPollutantO = dataMap.get("primaryPollutant");
            if(primaryPollutantO!=null){
                JSONArray primaryPollutantArray = (JSONArray) primaryPollutantO;
                List<String> primaryPollutant = JSON.parseObject(primaryPollutantArray.toJSONString(),List.class);
                for (String s : primaryPollutant) {
                    if(s.equals("PM2.5"))
                        dto.setPM2_5FirstDays(dto.getPM2_5FirstDays()+1);
                    if(s.equals("PM10"))
                        dto.setPM10FirstDays(dto.getPM10FirstDays()+1);
                    if(s.equals("SO2"))
                        dto.setSO2FirstDays(dto.getSO2FirstDays()+1);
                    if(s.equals("NO2"))
                        dto.setNO2FirstDays(dto.getNO2FirstDays()+1);
                    if(s.equals("CO"))
                        dto.setCOFirstDays(dto.getCOFirstDays()+1);
                    if(s.equals("O3"))
                        dto.setO3FirstDays(dto.getO3FirstDays()+1);
                }
            }
        }
        //计算同期对比数据
        for (CityAqiDaily comMonthData : comMonthDatas) {
            //获取数据
            Map<String,String> dataMap = JSON.parseObject(comMonthData.getValue(),Map.class);
            String aqi = String.valueOf(dataMap.get("AQI"));
            //判断aqi是否达标
            if(aqi!=null){
                if(AQIUtils.aqiIsStandard(Integer.parseInt(aqi)))
                    dto.setComAqiComplianceDays(dto.getComAqiComplianceDays()+1);
            }
        }
        //计算指定年份和同期年份达标率
        Double posAqiComplianceDays = Double.parseDouble(dto.getAqiComplianceDays()+"");
        Double posDays = Double.parseDouble(posMonthDatas.size()+"");
        Double comAqiComplianceDays = Double.parseDouble(dto.getComAqiComplianceDays()+"");
        Double comDays = Double.parseDouble(comMonthDatas.size()+"");
        if(posDays==0d)
            dto.setAqiCompliancePer(0d);
        else
            dto.setAqiCompliancePer(MathUtils.division(posAqiComplianceDays*100,posDays,2));

        if(comDays==0d)
            dto.setComAqiCompliancePer(0d);
        else
            dto.setComAqiCompliancePer(MathUtils.division(comAqiComplianceDays*100,comDays,2));

        dto.setMonth(month);
        return dto;
    }




    //计算优良天数和同比以及省内，28城市，省内通道的排名。
@@ -108,7 +251,7 @@

        //查询优良天气数
        CityPollutionLevel cityPollutionLevel = cityAqiDailyService.calculateDaysByTimeAndSysArea(city, startDate, endDate);
        if(cityPollutionLevel==null)
        if (cityPollutionLevel == null)
            return null;
        Integer fineDays = cityPollutionLevel.getExcellentWeatherDays() + cityPollutionLevel.getGoodWeatherDays();
        //计算同比数据
@@ -116,13 +259,19 @@
        Date compareEndDate = DateUtils.addMonths(endDate, -12);
        CityPollutionLevel cityPollutionLevelCompare = cityAqiDailyService.calculateDaysByTimeAndSysArea(city, compareStartDate, compareEndDate);
        String percent = null;
        if(cityPollutionLevelCompare!=null){
        if (cityPollutionLevelCompare != null) {
            Integer compareFineDays = cityPollutionLevelCompare.getExcellentWeatherDays() + cityPollutionLevelCompare.getGoodWeatherDays();
            percent = (fineDays - compareFineDays) + " 天";
            Integer percentInt = fineDays - compareFineDays;
            if (percentInt > 0) {
                percent = "+" + percentInt + " 天";
            } else {
                percent = percentInt + " 天";
            }

        }
        //计算省内排名
        Integer provinceRange = null;
        if(provinceCities!=null)
        if (provinceCities != null)
            provinceRange = calculateFineDaysRange(provinceCities, city, startDate, endDate);
        //计算2+26城市排名
        Integer twentyEightRange = null;
@@ -161,7 +310,7 @@
        Map<String, Double> compareCentration = getConcentration(thisYear, compareStartDate, compareEndDate, cityCode);
        //计算6参以及综指同比结果
        Map<String, String> compareResult = null;
        if(compareCentration!=null)
        if (compareCentration != null)
            compareResult = calculateSixParamYOY(concentration, compareCentration);
        //计算省内排名
        Map<String, Integer> provinceRangeResult = null;
@@ -178,20 +327,20 @@
        //封装返回数据
        DataPercentRange pm2_5 = new DataPercentRange();
        pm2_5.setConcentration(concentration.get("PM2_5").intValue() + " μg/m³");
        DataPercentRange PM2_5 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "PM2_5", 0, "μg/m");
        DataPercentRange PM10 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "PM10", 0, "μg/m");
        DataPercentRange SO2 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "SO2", 0, "μg/m");
        DataPercentRange NO2 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "NO2", 0, "μg/m");
        DataPercentRange O3 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "O3", 0, "μg/m");
        DataPercentRange CO = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "CO", 1, "mg/m");
        DataPercentRange PM2_5 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "PM2_5", 0, "μg/m³");
        DataPercentRange PM10 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "PM10", 0, "μg/m³");
        DataPercentRange SO2 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "SO2", 0, "μg/m³");
        DataPercentRange NO2 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "NO2", 0, "μg/m³");
        DataPercentRange O3 = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "O3", 0, "μg/m³");
        DataPercentRange CO = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "CO", 1, "mg/m³");
        DataPercentRange compositeIndex = packageSixParam(concentration, compareResult, provinceRangeResult, twentyEightRangeResult, provinceChannelRangeResult, "compositeIndex", 3, "");
        result.put("PM2_5",PM2_5);
        result.put("PM10",PM10);
        result.put("SO2",SO2);
        result.put("NO2",NO2);
        result.put("O3",O3);
        result.put("CO",CO);
        result.put("compositeIndex",compositeIndex);
        result.put("PM2_5", PM2_5);
        result.put("PM10", PM10);
        result.put("SO2", SO2);
        result.put("NO2", NO2);
        result.put("O3", O3);
        result.put("CO", CO);
        result.put("compositeIndex", compositeIndex);
        return result;
    }

@@ -286,31 +435,31 @@

        Double pm2_5 = calculateSensorYOY(dataMap, compareDataMap, "PM2_5");
        if (pm2_5 != null)
            result.put("PM2_5", pm2_5.intValue() + " μg/m³");
            result.put("PM2_5", pm2_5.intValue() > 0 ? "+" + pm2_5.intValue() + " μg/m³" : pm2_5.intValue() + " μg/m³");

        Double pm10 = calculateSensorYOY(dataMap, compareDataMap, "PM10");
        if (pm10 != null)
            result.put("PM10", pm10.intValue() + " μg/m³");
            result.put("PM10", pm10.intValue() > 0 ? "+" + pm10.intValue() + " μg/m³" : pm10.intValue() + " μg/m³");

        Double so2 = calculateSensorYOY(dataMap, compareDataMap, "SO2");
        if (so2 != null)
            result.put("SO2", so2.intValue() + " μg/m³");
            result.put("SO2", so2.intValue() > 0 ? "+" + so2.intValue() + " μg/m³" : so2.intValue() + " μg/m³");


        Double no2 = calculateSensorYOY(dataMap, compareDataMap, "NO2");
        if (no2 != null)
            result.put("NO2", no2.intValue() + " μg/m³");
            result.put("NO2", no2.intValue() > 0 ? "+" + no2.intValue() + " μg/m³" : no2.intValue() + " μg/m³");


        Double o3 = calculateSensorYOY(dataMap, compareDataMap, "O3");
        if (o3 != null)
            result.put("O3", o3.intValue() + " μg/m³");
            result.put("O3", o3.intValue() > 0 ? "+" + o3.intValue() + " μg/m³" : o3.intValue() + " μg/m³");


        Double co = calculateSensorYOY(dataMap, compareDataMap, "CO");
        if (co != null) {
            co = AmendUtils.sciCal(co, 1);
            result.put("CO", co + " mg/m³");
            result.put("CO", co.intValue() > 0 ? "+" + co.intValue() + " mg/m³" : co.intValue() + " mg/m³");
        }

        //计算综合指数同比数据
@@ -321,7 +470,7 @@
        if (compositeIndex != null && compareCompositeIndex != null) {
            Double compareResult = MathUtils.division(compositeIndex - compareCompositeIndex, compareCompositeIndex, 3);
            compareResult = MathUtils.mul(compareResult, 100);
            result.put("compositeIndex", compareResult + "%");
            result.put("compositeIndex", compareResult > 0 ? "+" + compareResult + " %" : compareResult + " %");
        }
        if (result.size() != 7)
            return null;
@@ -443,5 +592,19 @@
        return DateUtils.dateToDateString(new Date(), "yyyy").equals(year);
    }

    //查询数据集合最大月份
    private int maxMonth( List<CityAqiDaily> datas){
        int i = 0;
        for (CityAqiDaily data : datas) {
            Date time = data.getTime();
            int month = DateUtils.getMonth(time);
            if(month>i)
                i = month;
        }
        return i;
    }




}