| | |
| | | import com.moral.api.mapper.CityAqiMapper; |
| | | import com.moral.api.mapper.DeviceMapper; |
| | | import com.moral.api.mapper.ForecastMapper; |
| | | import com.moral.api.mapper.SysAreaMapper; |
| | | 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.pojo.vo.cityAQI.CityAreaRangeVO; |
| | | import com.moral.api.service.*; |
| | | import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; |
| | | import com.moral.constant.Constants; |
| | |
| | | import org.springframework.stereotype.Service; |
| | | import org.springframework.util.ObjectUtils; |
| | | |
| | | import java.text.DecimalFormat; |
| | | import java.math.BigDecimal; |
| | | import java.text.SimpleDateFormat; |
| | | import java.util.*; |
| | | import java.util.stream.Collectors; |
| | |
| | | |
| | | @Autowired |
| | | private HistoryHourlyService historyHourlyService; |
| | | |
| | | @Autowired |
| | | SpecialCitiesProperties citiesProperties; |
| | | |
| | | @Autowired |
| | | private SysAreaMapper sysAreaMapper; |
| | | |
| | | @Override |
| | | public List<Map<String, Object>> measuredCompareForecastOfO3(Map<String, Object> params) { |
| | |
| | | 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"); |
| | | List<CityAqiDaily> dayData = cityAqiDailyService.list(wrapper); |
| | | for (CityAqiDaily cityAqiDaily : dayData) { |
| | | Map<String, Object> resultMap = JSONObject.parseObject(cityAqiDaily.getValue(), Map.class); |
| | | resultMap.put("O3_8H", resultMap.remove("O3")); |
| | | List<String> primaryPollutantNames = (List<String>) resultMap.get("primaryPollutant"); |
| | | String primaryPollutant = ""; |
| | | if (!ObjectUtils.isEmpty(primaryPollutantNames)) { |
| | | primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(",")); |
| | | } |
| | | value.put("primaryPollutant", primaryPollutant); |
| | | resultMap.put("primaryPollutant", primaryPollutant); |
| | | |
| | | |
| | | //城市名 |
| | | for (SysArea sysArea : sysAreas) { |
| | | if (dayDatum.get("city_code").equals(sysArea.getAreaCode())) { |
| | | value.put("cityName", sysArea.getAreaName()); |
| | | if (cityAqiDaily.getCityCode().equals(sysArea.getAreaCode())) { |
| | | resultMap.put("cityName", sysArea.getAreaName()); |
| | | break; |
| | | } |
| | | } |
| | | result.add(value); |
| | | 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 每月1号 |
| | | * @param time 所要获取数据的时间 2021-11-01 00:00:00 |
| | | * @return 功能:月排名 |
| | | */ |
| | | private List<Map<String, Object>> monthRank(List<SysArea> sysAreas, String time) { |
| | |
| | | .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) |
| | | QueryWrapper<CityAqiMonthly> cityAqiMonthlyQueryWrapper = new QueryWrapper<>(); |
| | | cityAqiMonthlyQueryWrapper.select("city_code", "value") |
| | | .eq("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 |
| | | List<CityAqiMonthly> list = cityAqiMonthlyService.list(cityAqiMonthlyQueryWrapper); |
| | | for (CityAqiMonthly cityAqiMonthly : list) { |
| | | Map<String, Object> resultMap = JSONObject.parseObject(cityAqiMonthly.getValue(), Map.class); |
| | | 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())) { |
| | | if (cityAqiMonthly.getCityCode().equals(sysArea.getAreaCode())) { |
| | | resultMap.put("cityName", sysArea.getAreaName()); |
| | | break; |
| | | } |
| | | } |
| | | result.add(resultMap); |
| | | }); |
| | | } |
| | | return result; |
| | | } |
| | | |
| | |
| | | .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 |
| | | QueryWrapper<CityAqiYearly> cityAqiYearlyQueryWrapper = new QueryWrapper<>(); |
| | | cityAqiYearlyQueryWrapper.select("city_code", "value") |
| | | .in("city_code", regionCodes) |
| | | .eq("time", time); |
| | | List<CityAqiYearly> list = cityAqiYearlyService.list(cityAqiYearlyQueryWrapper); |
| | | for (CityAqiYearly cityAqiYearly : list) { |
| | | Map<String, Object> resultMap = JSONObject.parseObject(cityAqiYearly.getValue(), Map.class); |
| | | 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())) { |
| | | if (cityAqiYearly.getCityCode().equals(sysArea.getAreaCode())) { |
| | | resultMap.put("cityName", sysArea.getAreaName()); |
| | | break; |
| | | } |
| | | } |
| | | result.add(resultMap); |
| | | }); |
| | | } |
| | | return result; |
| | | } |
| | | |
| | |
| | | resultMap.put("auther","(七星瓢虫专家组)"); |
| | | resultList.add(resultMap); |
| | | } |
| | | result.put("totel",count); |
| | | Integer totel = count-1; |
| | | result.put("totel",totel); |
| | | result.put("resultList",resultList); |
| | | result.put("current",current); |
| | | int totalPageNumber = count/size; |
| | | if(count%size != 0){ |
| | | int totalPageNumber = totel/size; |
| | | if(totel%size != 0){ |
| | | totalPageNumber += 1; |
| | | } |
| | | result.put("totalPageNumber",totalPageNumber); |
| | | return result; |
| | | } |
| | | |
| | | @Override |
| | | public Map<String, Object> countyData(Integer regionCode) { |
| | | Map<String,Object> resultMap = new HashMap<>(); |
| | | //获取时间 |
| | | SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd HH"); |
| | | Calendar calendar = Calendar.getInstance(); |
| | | int minute = calendar.get(Calendar.MINUTE); |
| | | if (minute >= 45){ |
| | | calendar.set(Calendar.HOUR_OF_DAY,calendar.get(Calendar.HOUR_OF_DAY)-1); |
| | | }else { |
| | | calendar.set(Calendar.HOUR_OF_DAY,calendar.get(Calendar.HOUR_OF_DAY)-2); |
| | | } |
| | | String time = df.format(calendar.getTime())+":00:00"; |
| | | QueryWrapper<CityAqi> cityAqiQueryWrapper = new QueryWrapper<>(); |
| | | cityAqiQueryWrapper.likeRight("city_code",regionCode.toString().substring(0,4)); |
| | | cityAqiQueryWrapper.ne("city_code",regionCode); |
| | | cityAqiQueryWrapper.eq("time",time); |
| | | List<CityAqi> cityAqis = cityAqiMapper.selectList(cityAqiQueryWrapper); |
| | | QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>(); |
| | | sysAreaQueryWrapper.eq("parent_code",regionCode); |
| | | List<SysArea> sysAreas = sysAreaMapper.selectList(sysAreaQueryWrapper); |
| | | Map<Integer, Object> sysAreaMap = new HashMap<>(); |
| | | for (SysArea sysarea:sysAreas) { |
| | | sysAreaMap.put(sysarea.getAreaCode(),sysarea.getAreaName()); |
| | | } |
| | | List<Map<String,Object>> resultList = new ArrayList<>(); |
| | | for (CityAqi cityAqi:cityAqis) { |
| | | if (!ObjectUtils.isEmpty(cityAqi.getValue())){ |
| | | Map<String, Object> cityAqiMap = new HashMap<>(); |
| | | String cityAqiValue = cityAqi.getValue(); |
| | | JSONObject jsonObject = JSONObject.parseObject(cityAqiValue); |
| | | String AQI = "--"; |
| | | String PM10 = "--"; |
| | | String PM2_5 = "--"; |
| | | String SO2 = "--"; |
| | | String NO2 = "--"; |
| | | String CO = "--"; |
| | | String O3 = "--"; |
| | | String thirty = "--"; |
| | | String forty = "--"; |
| | | String fifty = "--"; |
| | | String city_name = "--"; |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("AQI"))){ |
| | | AQI = jsonObject.get("AQI").toString(); |
| | | BigDecimal AQI_base = BigDecimal.valueOf(Double.parseDouble(AQI)); |
| | | BigDecimal thirty_percent = BigDecimal.valueOf(1.3); |
| | | BigDecimal forty_percent = BigDecimal.valueOf(1.4); |
| | | BigDecimal fifty_percent = BigDecimal.valueOf(1.5); |
| | | Double AQI_thirty = AQI_base.multiply(thirty_percent).doubleValue(); |
| | | Double AQI_forty = AQI_base.multiply(forty_percent).doubleValue(); |
| | | Double AQI_fifty = AQI_base.multiply(fifty_percent).doubleValue(); |
| | | thirty = String.valueOf(Math.round(AQI_thirty)); |
| | | forty = String.valueOf(Math.round(AQI_forty)); |
| | | fifty = String.valueOf(Math.round(AQI_fifty)); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("PM10"))){ |
| | | PM10 = String.valueOf(Math.round(Double.parseDouble(jsonObject.get("PM10").toString()))); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("PM2_5"))){ |
| | | PM2_5 = String.valueOf(Math.round(Double.parseDouble(jsonObject.get("PM2_5").toString()))); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("SO2"))){ |
| | | SO2 = String.valueOf(Math.round(Double.parseDouble(jsonObject.get("SO2").toString()))); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("NO2"))){ |
| | | NO2 = String.valueOf(Math.round(Double.parseDouble(jsonObject.get("NO2").toString()))); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("CO"))){ |
| | | CO = String.valueOf(Math.round(Double.parseDouble(jsonObject.get("CO").toString()))); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("O3"))){ |
| | | O3 = String.valueOf(Math.round(Double.parseDouble(jsonObject.get("O3").toString()))); |
| | | } |
| | | if (!ObjectUtils.isEmpty(jsonObject.get("cityName"))){ |
| | | city_name = jsonObject.get("cityName").toString(); |
| | | } |
| | | cityAqiMap.put("AQI",AQI); |
| | | cityAqiMap.put("PM10",PM10); |
| | | cityAqiMap.put("PM2_5",PM2_5); |
| | | cityAqiMap.put("SO2",SO2); |
| | | cityAqiMap.put("NO2",NO2); |
| | | cityAqiMap.put("CO",CO); |
| | | cityAqiMap.put("O3",O3); |
| | | cityAqiMap.put("thirty",thirty); |
| | | cityAqiMap.put("forty",forty); |
| | | cityAqiMap.put("fifty",fifty); |
| | | cityAqiMap.put("city_name",city_name); |
| | | resultList.add(cityAqiMap); |
| | | } |
| | | sysAreaMap.remove(cityAqi.getCityCode()); |
| | | } |
| | | if (sysAreaMap.size()>0){ |
| | | for(Integer key:sysAreaMap.keySet()){ |
| | | Map<String,Object> nullMap = new HashMap<>(); |
| | | nullMap.put("AQI","--"); |
| | | nullMap.put("PM10","--"); |
| | | nullMap.put("PM2_5","--"); |
| | | nullMap.put("SO2","--"); |
| | | nullMap.put("NO2","--"); |
| | | nullMap.put("CO","--"); |
| | | nullMap.put("O3","--"); |
| | | nullMap.put("thirty","--"); |
| | | nullMap.put("forty","--"); |
| | | nullMap.put("fifty","--"); |
| | | nullMap.put("city_name",sysAreaMap.get(key)); |
| | | resultList.add(nullMap); |
| | | } |
| | | } |
| | | resultMap.put("resultList",resultList); |
| | | resultMap.put("time",time); |
| | | QueryWrapper<SysArea> areaQueryWrapper = new QueryWrapper<>(); |
| | | areaQueryWrapper.eq("area_code",regionCode); |
| | | SysArea sysArea = sysAreaMapper.selectOne(areaQueryWrapper); |
| | | resultMap.put("areaName",sysArea.getAreaName()); |
| | | return resultMap; |
| | | } |
| | | |
| | | /** |
| | | * @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> |
| | | * @return: java.util.Map<java.lang.String, com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent> |
| | | * @Author: 陈凯裕 |
| | | * @Date: 2022/1/17 |
| | | */ |
| | |
| | | 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(); |
| | | areas = citiesProperties.getTwentyEightCities(); |
| | | } else { |
| | | areas = sysAreaService.getChildren(regionCode); |
| | | } |