From 273defb3cc6cbbd74494a853a23cb8fe14c22b8b Mon Sep 17 00:00:00 2001
From: jinpengyong <jpy123456>
Date: Thu, 17 Feb 2022 14:33:16 +0800
Subject: [PATCH] 督办单增加组织id
---
screen-api/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java | 946 ++++++++++++++++++++++++++++++++++++++++++++++++++++++----
1 files changed, 870 insertions(+), 76 deletions(-)
diff --git a/screen-api/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java b/screen-api/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java
index eb6fc95..be28219 100644
--- a/screen-api/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java
+++ b/screen-api/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java
@@ -3,22 +3,33 @@
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;
import com.moral.constant.RedisConstants;
+import com.moral.pojo.AQI;
import com.moral.util.AQIUtils;
import com.moral.util.AmendUtils;
+import com.moral.util.ComprehensiveIndexUtils;
import com.moral.util.DateUtils;
import com.moral.util.MathUtils;
@@ -28,7 +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;
/**
@@ -52,13 +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) {
@@ -88,7 +107,7 @@
Date date = (Date) forecastDatum.get("time");
String value = forecastDatum.get("value").toString();
Map<String, Object> data = JSONObject.parseObject(value, Map.class);
- Object o3 = data.get("o3");
+ Object o3 = data.get("O3");
if (i == DateUtils.getHour(date) * 2) {
if (!ObjectUtils.isEmpty(o3)) {
map.put("O3", o3);
@@ -103,7 +122,7 @@
Date date = (Date) measuredDatum.get("time");
String value = measuredDatum.get("value").toString();
Map<String, Object> data = JSONObject.parseObject(value, Map.class);
- Object o3 = data.get("o3");
+ Object o3 = data.get("O3");
if (i == (DateUtils.getHour(date) * 2 + 1)) {
if (!ObjectUtils.isEmpty(o3)) {
map.put("O3", o3);
@@ -121,10 +140,25 @@
Map<String, Object> value = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstants.CITY_AQI, String.valueOf(regionCode));
if (value == null)
value = queryCityAqiByRegionCodeFromDB(regionCode);
+ //������������������������������������������������������������
+ 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;
+ }
+ }
//������AQI������������������
- if (value == null || value.get("aqi") == null)
+ if (value == null || value.get("AQI") == null)
return null;
- Integer aqi = Integer.parseInt(value.get("aqi").toString());
+ Integer aqi = Integer.parseInt(value.get("AQI").toString());
String category = AQIUtils.classOfPollutionByAqi(aqi);
value.put("category", category);
return value;
@@ -138,6 +172,8 @@
lastDataWrapper.orderByDesc("time");
lastDataWrapper.last(true, "limit 1");
CityAqi cityAqi = cityAqiMapper.selectOne(lastDataWrapper);
+ if (cityAqi == null)
+ return null;
//���������24������������������
Date endDate = cityAqi.getTime();
Date startDate = DateUtils.addHours(endDate, -23);
@@ -162,17 +198,17 @@
//������������������������
cityAqis.sort(Comparator.comparing(CityAqi::getTime));
}
- //������������������,map���key���HH:mm������������������value���aqi���������
+ //������������������,map���key���yyyy-MM-dd HH:mm������������������value���aqi���������
Map<String, Object> result = new LinkedHashMap<>();
for (CityAqi aqi : cityAqis) {
- String key = DateUtils.dateToDateString(aqi.getTime(), "HH:mm");
+ String key = DateUtils.dateToDateString(aqi.getTime(), "yyyy-MM-dd HH:mm");
String allDataJson = aqi.getValue();
if (allDataJson == null) {
result.put(key, "");
continue;
}
Map<String, Object> allDataMap = JSON.parseObject(allDataJson, Map.class);
- Object aqiData = allDataMap.get("aqi");
+ Object aqiData = allDataMap.get("AQI");
if (aqiData == null)
result.put(key, "");
else
@@ -195,7 +231,10 @@
//���������������
Map<String, Object> sixParamAvg = calculate6ParamAvg(cityAqis);
//������������aqi������������������
- Map<String, Object> result = AQIUtils.hourlyAqi_pollutant(sixParamAvg);
+ Map<String, Object> result = new HashMap<>();
+ AQI aqi = AQIUtils.hourlyAQI(sixParamAvg);
+ result.put("aqi", aqi.getAQIValue());
+ result.put("pollutant", aqi.getPrimaryPollutantNames());
//���������������������
CityAqi lastCityAqi = cityAqis.get(cityAqis.size() - 1);
String time = DateUtils.dateToDateString(lastCityAqi.getTime(), "HH:mm");
@@ -203,64 +242,590 @@
return result;
}
- /**
- * @Description: ������6������������
- * @Param: [cityAqiList]
- * @return: java.util.Map<java.lang.String, java.lang.Double>
- * ���������key���sensorCode,value������
- * @Author: ���������
- * @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);
+ //���������������,���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)) {
+ //������2+26������
+ sysAreas = specialCitiesProperties.getTwentyEightCities();
+ } else {
+ if ("province".equals(cityType)) {
+ //���������������������
+ areaWrapper.select("area_code", "area_name").eq("parent_code", curProvinceCode);
+ } else {
+ //������������������������
+ 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: ������������������������
- * @Param: [cityAqiList, sensor]
- * ���sensor���������������������������
- * @return: java.lang.Double
- * @Author: ���������
- * @Date: 2021/11/2
+ * @param sysAreas ������������������������
+ * @return ���������������������������
*/
- 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);
+ //���city_code������
+ 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()) {
+ //���������������������
+ double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
+ if ("CO".equals(sensor)) {
+ sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 1);
+ }
+ dataMap.put(sensor, sciCal);
+ }
+ });
+
+ //������������O3_8H������,������������O3������8H���������
+ if (!ObjectUtils.isEmpty(doubles)) {
+ dataMap.put("O3_8H", Collections.max(doubles));
+ }
+
+ //������������aqi,���������������������
+ 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);
+
+ //������������������������������,O3������������O3_8H������
+ Map<String, Object> compositeIndexMap = new HashMap<>(dataMap);
+ compositeIndexMap.put("O3", compositeIndexMap.get("O3_8H"));
+ Double compositeIndex = ComprehensiveIndexUtils.dailyData(compositeIndexMap);
+ dataMap.put("compositeIndex", compositeIndex);
+
+ //���������
+ for (SysArea sysArea : sysAreas) {
+ if (cityCode.equals(sysArea.getAreaCode())) {
+ dataMap.put("cityName", sysArea.getAreaName());
+ break;
+ }
+ }
+ result.add(dataMap);
+ });
+ return result;
}
+
+ /**
+ * @param sysAreas ������������������������
+ * @param time ��������������������������� 2021-11-04 13:00:00
+ * @return ���������������������
+ */
+ 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 ������������������������
+ * @param time ��������������������������� 2021-11-04 00:00:00
+ * @return ������������������
+ */
+ 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);
+
+
+ //���������
+ 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 ������������������������
+ * @param time ��������������������������� 2021-11-01 00:00:00 ������1���
+ * @return ������������������
+ */
+ private List<Map<String, Object>> monthRank(List<SysArea> sysAreas, String time) {
+ List<Integer> regionCodes = sysAreas.stream()
+ .map(SysArea::getAreaCode)
+ .collect(Collectors.toList());
+
+ //���������������������������
+ List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
+ List<Map<String, Object>> result = new ArrayList<>();
+ //������������������,������������������������������city_aqi_monthly������
+ 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);
+
+
+ //���������
+ 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);
+ //���city_code������
+ 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������������������������
+ Map<String, Object> coAvgOfWeekOrMonth = AmendUtils.getCOAvgOfWeekOrMonth(params);
+ if (!ObjectUtils.isEmpty(coAvgOfWeekOrMonth)) {
+ resultMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
+ }
+
+ //2. O3 90������������������������
+ 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()) {
+ //���������������������
+ double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
+ resultMap.put(sensor, sciCal);
+ }
+ });
+
+ //������������������
+ Double compositeIndex = ComprehensiveIndexUtils.dailyData(resultMap);
+ resultMap.put("compositeIndex", compositeIndex);
+
+ //������O3���O3_8H������
+ resultMap.put("O3_8H", resultMap.remove("O3"));
+
+ //���������������������������
+ 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));
+ //������������������
+ 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);
+
+ //���������
+ for (SysArea sysArea : sysAreas) {
+ if (cityCode.equals(sysArea.getAreaCode())) {
+ resultMap.put("cityName", sysArea.getAreaName());
+ break;
+ }
+ }
+ result.add(resultMap);
+ });
+ return result;
+ }
+
+ /**
+ * @param sysAreas ������������������������
+ * @param time ��������������������������� 2021-11-01 00:00:00 ������1���1���
+ * @return ������������������
+ */
+ private List<Map<String, Object>> yearRank(List<SysArea> sysAreas, String time) {
+ List<Integer> regionCodes = sysAreas.stream()
+ .map(SysArea::getAreaCode)
+ .collect(Collectors.toList());
+
+ //���������������������������
+ List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
+ List<Map<String, Object>> result = new ArrayList<>();
+ //���������������,������������������������������city_aqi_monthly������
+ 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);
+
+
+ //���������
+ 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);
+ //���city_code������
+ 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������������������������
+ Map<String, Object> coAvgOfWeekOrMonth = AmendUtils.getCOAvgOfWeekOrMonth(params);
+ if (!ObjectUtils.isEmpty(coAvgOfWeekOrMonth)) {
+ resultMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
+ }
+
+ //2. O3 90������������������������
+ 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()) {
+ //���������������������
+ double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
+ resultMap.put(sensor, sciCal);
+ }
+ });
+
+ //������������������
+ Double compositeIndex = ComprehensiveIndexUtils.dailyData(resultMap);
+ resultMap.put("compositeIndex", compositeIndex);
+
+ //������O3���O3_8H������
+ resultMap.put("O3_8H", resultMap.remove("O3"));
+
+ //���������������������������
+ String lastYear = DateUtils.getDateAddYear(time.substring(0, 4), -1);
+ QueryWrapper<CityAqiYearly> queryWrapper = new QueryWrapper<>();
+ queryWrapper.select("value")
+ .eq("city_code", cityCode)
+ .eq("time", lastYear);
+ //������������������
+ 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);
+
+
+ //���������
+ for (SysArea sysArea : sysAreas) {
+ if (cityCode.equals(sysArea.getAreaCode())) {
+ resultMap.put("cityName", sysArea.getAreaName());
+ break;
+ }
+ }
+ result.add(resultMap);
+ });
+ return result;
+ }
+
+ /**
+ * @param sysAreas ������������������������
+ * @param start ���������������������������������,���������������2021-11-03 00:00:00
+ * @param end ���������������������������������,���������������2021-11-25 00:00:00
+ * @return ������������������������
+ */
+ private List<Map<String, Object>> customRank(List<SysArea> sysAreas, String start, String end) {
+ List<Integer> regionCodes = sysAreas.stream()
+ .map(SysArea::getAreaCode)
+ .collect(Collectors.toList());
+
+ //���������������������������
+ 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);
+ //���city_code������
+ 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������������������������
+ Map<String, Object> coAvgOfWeekOrMonth = AmendUtils.getCOAvgOfWeekOrMonth(params);
+ if (!ObjectUtils.isEmpty(coAvgOfWeekOrMonth)) {
+ resultMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
+ }
+
+ //2. O3 90������������������������
+ 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()) {
+ //���������������������
+ double sciCal = AmendUtils.sciCal(optionalDouble.getAsDouble(), 0);
+ resultMap.put(sensor, sciCal);
+ }
+ });
+
+ //���������������������
+ Double compositeIndex = ComprehensiveIndexUtils.dailyData(resultMap);
+ resultMap.put("compositeIndex", compositeIndex);
+
+ //������O3���O3_8H������
+ resultMap.put("O3_8H", resultMap.remove("O3"));
+
+ //���������
+ for (SysArea sysArea : sysAreas) {
+ if (cityCode.equals(sysArea.getAreaCode())) {
+ resultMap.put("cityName", sysArea.getAreaName());
+ break;
+ }
+ }
+ result.add(resultMap);
+ });
+ return result;
+ }
+
/**
* @Description: ������������������������
* @Param: [regionCode]
- * @return: java.util.Map<java.lang.String, java.lang.Object>
+ * @return: java.util.Map<java.lang.String , java.lang.Object>
* @Author: ���������
* @Date: 2021/10/28
*/
@@ -278,7 +843,7 @@
}
@Override
- public Map<String, Object> provincialRanking(Integer organizationId) {
+ public Map<String, Object> provincialRanking(Integer regionCode) {
//���������
Map<String, Object> result = new HashMap<>();
@@ -287,10 +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);
//���������,���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");
//������������������city_code
QueryWrapper<SysArea> wrapper = new QueryWrapper<>();
wrapper.select("area_code").eq("parent_code", provinceCode);
@@ -308,9 +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.������������������������������������������������
queryWrapper.clear();
@@ -349,13 +913,15 @@
}
//���������������aqi������
- ranks.removeIf(o -> o.get("aqi") == null);
- sortByField(ranks, "aqi");
+ ranks.removeIf(o -> o.get("AQI") == null);
+ sortByField(ranks, "AQI");
//���������������
- Map<String, Object> dayMap = rankByField(ranks, cityCode, "aqi", cityCodes.size());
- if (!ObjectUtils.isEmpty(dayMap)) {
- dayMap.put("aqi", dayMap.remove("value"));
+ Map<String, Object> dayMap = rankByField(ranks, cityCode, "AQI", cityCodes.size());
+ if (ObjectUtils.isEmpty(dayMap)) {
+ dayMap.put("rank", null);
+ dayMap.put("size", null);
}
+ dayMap.put("AQI", dayMap.remove("value"));
result.put("day", dayMap);
//������������������������������
@@ -363,25 +929,182 @@
sortByField(ranks, "compositeIndexMonth");
//���������������
Map<String, Object> monthMap = rankByField(ranks, cityCode, "compositeIndexMonth", cityCodes.size());
- if (!ObjectUtils.isEmpty(monthMap)) {
- monthMap.put("compositeIndex", monthMap.remove("value"));
+ if (ObjectUtils.isEmpty(monthMap)) {
+ monthMap.put("rank", null);
+ monthMap.put("size", null);
}
+ monthMap.put("compositeIndex", monthMap.remove("value"));
result.put("month", monthMap);
//������������������������������
sortByField(ranks, "compositeIndexYear");
- //���������������
- sortByField(ranks, "compositeIndexYear");
Map<String, Object> yearMap = rankByField(ranks, cityCode, "compositeIndexYear", cityCodes.size());
- if(!ObjectUtils.isEmpty(yearMap)){
- yearMap.put("compositeIndex", yearMap.remove("value"));
+ if (ObjectUtils.isEmpty(yearMap)) {
+ yearMap.put("rank", null);
+ yearMap.put("size", null);
}
+ yearMap.put("compositeIndex", yearMap.remove("value"));
result.put("year", yearMap);
//���������������
result.put("time", DateUtils.dateToDateString(yesterday, DateUtils.yyyy_MM_dd_EN));
return result;
}
+
+ @Override
+ public List<AirQualityComparisonVO> queryAirQualityComparison(AirQualityComparisonForm form) {
+ //������
+ 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();
+ //������������/������
+ List<SysArea> areas = getSysAreasByRegionType(regionType, regionCode);
+ if (ObjectUtils.isEmpty(areas))
+ return null;
+ List<AirQualityComparisonVO> vos = new ArrayList<>();
+ for (SysArea area : areas) {
+ //������������������������������������6������������������
+ 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;
+ //���������������������������������������
+ 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();
+ //������6������������������
+ Map<String, ConcentrationAndPercent> sixParamAndComIndexResult = contrastSixParamAndComIndex(data, comparisonData);
+ //������������������������������������������
+ ConcentrationAndPercent fine = contrastDays(fineDays, comparisonFineDays);
+ ConcentrationAndPercent server = contrastDays(serverDays, comparisonServerDays);
+ //������������������
+ 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: ������6������������������������������������
+ * @Param: [data, comparisonData]
+ * @return: java.util.Map<java.lang.String , com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent>
+ * @Author: ���������
+ * @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: ������6������������������������/���������������������
+ * @Param: [data, comparisonData]
+ * @return: com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent
+ * @Author: ���������
+ * @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���������������������
+ 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: ���������������������������������
+ * @Param: [days, comparisonDays]
+ * @return: com.moral.api.pojo.dto.cityAQI.ConcentrationAndPercent
+ * @Author: ���������
+ * @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() + "���");
+ return concentrationAndPercent;
+ }
+
+ /**
+ * @Description: ���������������������������������6������������������������������������������������������������������������
+ * @Param: [comparisonType, startDate, endDate, regionCode]
+ * @return: java.util.Map<java.lang.String , java.lang.Object>
+ * @Author: ���������
+ * @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))) {//��������������� ���������������
+ 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))) {//��������������� ���������������
+ List<CityAqiYearly> cityAqis = cityAqiYearlyService.getCityAqiYearlyByRegionCodeAndTime(regionCode, startDate, endDate);
+ if (ObjectUtils.isEmpty(cityAqis))
+ return null;
+ data = JSON.parseObject(cityAqis.get(0).getValue(), Map.class);
+ } else {//���������������������
+ 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));
+ });
+ //������������
+ data = calculate6ParamAvg(newCityAqis);
+ //���������������
+ 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()));
+ //������������������
+ Double compositeIndex = ComprehensiveIndexUtils.dailyData(data);
+ data.put("compositeIndex", compositeIndex);
+ }
+ return data;
+ }
+
//������������������
private void sortByField(List<Map<String, Object>> list, String sortField) {
@@ -414,4 +1137,75 @@
return result;
}
+ /**
+ * @Description: ���������������������������������������������������������
+ * @Param: [regionType, regionCode]
+ * @return: java.util.List<com.moral.api.entity.SysArea>
+ * @Author: ���������
+ * @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: ������6������������
+ * @Param: [cityAqiList]
+ * @return: java.util.Map<java.lang.String , java.lang.Double>
+ * ���������key���sensorCode,value������
+ * @Author: ���������
+ * @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: ������������������������
+ * @Param: [cityAqiList, sensor]
+ * ���sensor���������������������������
+ * @return: java.lang.Double
+ * @Author: ���������
+ * @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;
+ }
}
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