| | |
| | | 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; |
| | |
| | | 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; |
| | |
| | | import org.springframework.util.ObjectUtils; |
| | | |
| | | import java.text.DateFormat; |
| | | import java.text.SimpleDateFormat; |
| | | import java.util.*; |
| | | |
| | | /** |
| | |
| | | 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。 |
| | |
| | | |
| | | //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 |
| | |
| | | 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; |
| | |
| | | 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; |
| | |
| | | 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; |
| | | } |
| | | |
| | |
| | | |
| | | 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 |
| | |
| | | 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; |
| | |
| | | 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; |
| | | } |
| | | |
| | | |
| | | |
| | | |
| | | } |