package com.moral.api.service.impl;
|
|
import org.springframework.beans.factory.annotation.Autowired;
|
import org.springframework.data.redis.core.RedisTemplate;
|
import org.springframework.stereotype.Service;
|
import org.springframework.util.ObjectUtils;
|
|
import java.text.NumberFormat;
|
import java.util.ArrayList;
|
import java.util.Arrays;
|
import java.util.HashMap;
|
import java.util.HashSet;
|
import java.util.List;
|
import java.util.Map;
|
import java.util.Set;
|
import java.util.stream.Collectors;
|
|
import com.alibaba.fastjson.JSONObject;
|
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
import com.moral.api.entity.CityAqi;
|
import com.moral.api.entity.CityAqiDaily;
|
import com.moral.api.entity.CityAqiMonthly;
|
import com.moral.api.entity.Device;
|
import com.moral.api.entity.HistoryDaily;
|
import com.moral.api.entity.HistoryHourly;
|
import com.moral.api.entity.HistoryMonthly;
|
import com.moral.api.entity.Organization;
|
import com.moral.api.entity.Sensor;
|
import com.moral.api.entity.SysArea;
|
import com.moral.api.service.CityAqiDailyService;
|
import com.moral.api.service.CityAqiMonthlyService;
|
import com.moral.api.service.CityAqiService;
|
import com.moral.api.service.DeviceService;
|
import com.moral.api.service.HistoryDailyService;
|
import com.moral.api.service.HistoryHourlyService;
|
import com.moral.api.service.HistoryMonthlyService;
|
import com.moral.api.service.OrganizationService;
|
import com.moral.api.service.RegionService;
|
import com.moral.api.service.SensorService;
|
import com.moral.api.service.SysAreaService;
|
import com.moral.constant.Constants;
|
import com.moral.constant.RedisConstants;
|
import com.moral.util.AmendUtils;
|
import com.moral.util.DateUtils;
|
|
@Service
|
public class RegionServiceImpl implements RegionService {
|
|
@Autowired
|
private DeviceService deviceService;
|
|
@Autowired
|
private RedisTemplate redisTemplate;
|
|
@Autowired
|
private OrganizationService organizationService;
|
|
@Autowired
|
private CityAqiMonthlyService cityAqiMonthlyService;
|
|
@Autowired
|
private CityAqiDailyService cityAqiDailyService;
|
|
@Autowired
|
private CityAqiService cityAqiService;
|
|
@Autowired
|
private HistoryMonthlyService historyMonthlyService;
|
|
@Autowired
|
private HistoryDailyService historyDailyService;
|
|
@Autowired
|
private HistoryHourlyService historyHourlyService;
|
|
@Autowired
|
private SysAreaService sysAreaService;
|
|
@Autowired
|
private SensorService sensorService;
|
|
private static final Map<String, String> senorMap = new HashMap<>();
|
|
static {
|
senorMap.put(Constants.SENSOR_CODE_PM25, "PM2_5");
|
senorMap.put(Constants.SENSOR_CODE_PM10, "PM10");
|
senorMap.put(Constants.SENSOR_CODE_SO2, "SO2");
|
senorMap.put(Constants.SENSOR_CODE_NO2, "NO2");
|
senorMap.put(Constants.SENSOR_CODE_CO, "CO");
|
senorMap.put(Constants.SENSOR_CODE_O3, "O3");
|
}
|
|
@Override
|
public Set<Map<String, Object>> getRegionsByOrganizationId(Integer organizationId) {
|
QueryWrapper<Device> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("mac")
|
.eq("organization_id", organizationId)
|
.eq("is_delete", Constants.NOT_DELETE);
|
List<Object> macs = deviceService.listObjs(queryWrapper);
|
|
List<Map<String, Object>> devices = new ArrayList<>();
|
//从redis获取设备
|
Map<String, Object> entries = redisTemplate.opsForHash().entries(RedisConstants.DEVICE);
|
entries.forEach((key, value) -> {
|
if (macs.contains(key)) {
|
devices.add((Map<String, Object>) value);
|
}
|
});
|
return devices.stream()
|
.map(device -> (Map<String, Object>) device.get("town"))
|
.collect(Collectors.toSet());
|
}
|
|
@Override
|
public Set<Map<String, Object>> getSensorByRegionCodesAndOrganizationId(Map<String, Object> params) {
|
Set<Map<String, Object>> result = new HashSet<>();
|
Integer orgId = Integer.parseInt(params.get("organizationId").toString());
|
List<String> regionCodes = Arrays.asList(params.get("regionCodes").toString().split(","));
|
//获取区域设备macs
|
QueryWrapper<Device> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("mac")
|
.eq("organization_id", orgId)
|
.eq("is_delete", Constants.NOT_DELETE)
|
.in("town_code", regionCodes);
|
List<Object> macs = deviceService.listObjs(queryWrapper);
|
|
//根据设备mac获取设备传感器信息
|
for (Object mac : macs) {
|
Device device = (Device) redisTemplate.opsForHash().get(RedisConstants.DEVICE_INFO, mac.toString());
|
List<Sensor> sensors = device.getVersion().getSensors();
|
sensors.forEach(sensor -> {
|
Map<String, Object> sensorMap = new HashMap<>();
|
sensorMap.put("sensorCode", sensor.getCode());
|
sensorMap.put("sensorName", sensor.getName());
|
result.add(sensorMap);
|
});
|
}
|
return result;
|
}
|
|
@Override
|
public Map<String, Object> regionContribution(Map<String, Object> params) {
|
int orgId = Integer.parseInt(params.get("organizationId").toString());
|
List<String> regionCodes = Arrays.asList(params.get("regionCodes").toString().split(","));
|
String type = params.get("type").toString();
|
String time = params.get("time").toString();
|
String sensorCode = params.get("sensorCode").toString();
|
Map<String, Object> result = new HashMap<>();
|
switch (type) {
|
case "year":
|
result = regionContributionOfYear(orgId, regionCodes, time, sensorCode);
|
break;
|
case "month":
|
result = regionContributionOfMonth(orgId, regionCodes, time, sensorCode);
|
break;
|
case "day":
|
result = regionContributionOfDay(orgId, regionCodes, time, sensorCode);
|
break;
|
default:
|
break;
|
}
|
return result;
|
}
|
|
//贡献率，年
|
private Map<String, Object> regionContributionOfYear(Integer orgId, List<String> regionCodes, String time, String sensorCode) {
|
Map<String, Object> result = new HashMap<>();
|
|
//1.时间信息结果
|
List<String> timeLag = DateUtils.getTimeLag(time);
|
result.put("time", timeLag);
|
|
|
//根据组织获取区域定位
|
QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
|
organizationQueryWrapper.select("location_level_code")
|
.eq("id", orgId);
|
Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
|
|
|
//本市本年所有月数据
|
QueryWrapper<CityAqiMonthly> cityAqiMonthlyQueryWrapper = new QueryWrapper<>();
|
cityAqiMonthlyQueryWrapper.select("time", "value")
|
.eq("city_code", locationLevelCode)
|
.likeRight("time", time);
|
List<Map<String, Object>> cityAqis = cityAqiMonthlyService.listMaps(cityAqiMonthlyQueryWrapper);
|
Map<String, Object> cityAqiMap = new HashMap<>();
|
if (!ObjectUtils.isEmpty(cityAqis)) {
|
for (Map<String, Object> cityAqi : cityAqis) {
|
cityAqiMap.put(cityAqi.get("time").toString().substring(0, 7), cityAqi.get("value"));
|
}
|
}
|
|
|
//该组织所有设备信息，本年所有月数据
|
List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);
|
List<HistoryMonthly> allDeviceData = historyMonthlyService.getValueByMacs(allMacs, time);
|
Map<String, List<HistoryMonthly>> allDeviceDataMap = allDeviceData.stream()
|
.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));
|
|
|
//本市数据结果集
|
Map<String, Object> resultCityDataMap = new HashMap<>();
|
List<Map<String, Object>> cityDataList = new ArrayList<>();
|
//所有设备每个时间点，和值
|
Map<String, Object> allDeviceSumMap = new HashMap<>();
|
for (String yearMonth : timeLag) {
|
//所有设备该因子累加值
|
Double allDeviceSum = null;
|
List<HistoryMonthly> historyMonthlyList = allDeviceDataMap.get(yearMonth);
|
if (!ObjectUtils.isEmpty(historyMonthlyList)) {
|
allDeviceSum = historyMonthlyService.calculatedValue(historyMonthlyList, sensorCode, "sum");
|
}
|
allDeviceSumMap.put(yearMonth, allDeviceSum);
|
|
|
//本市值
|
Double cityValue = null;
|
if (cityAqiMap.get(yearMonth) != null) {
|
Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonth).toString(), Map.class);
|
//判断城市aqi是否有该因子数据
|
String sensorName = senorMap.get(sensorCode);
|
if (sensorName != null) {
|
cityValue = Double.parseDouble(dataValue.get(sensorName).toString());
|
}
|
}
|
Map<String, Object> cityDataMap = new HashMap<>();
|
//本市数据
|
cityDataMap.put("value", cityValue);
|
cityDataList.add(cityDataMap);
|
}
|
|
//2.本市数据结果
|
resultCityDataMap.put("data", cityDataList);
|
result.put("本市", resultCityDataMap);
|
|
|
for (String regionCode : regionCodes) {
|
//每个乡镇区域数据结果集
|
HashMap<String, Object> regionMap = new HashMap<>();
|
List<Map<String, Object>> dataList = new ArrayList<>();
|
|
|
//乡镇区域名称
|
QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("area_name").eq("area_code", Integer.parseInt(regionCode));
|
String regionName = sysAreaService.getOne(queryWrapper).getAreaName();
|
|
|
//获取乡镇区域下所有设备,本年所有月数据
|
List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));
|
List<HistoryMonthly> regionDeviceData = historyMonthlyService.getValueByMacs(regionMacs, time);
|
//按time分组
|
Map<String, List<HistoryMonthly>> regionDataMap = regionDeviceData.stream()
|
.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));
|
|
|
for (String resultTime : timeLag) {
|
//每个时间点数据
|
Map<String, Object> timeDataMap = new HashMap<>();
|
Object o = allDeviceSumMap.get(resultTime);
|
Double allDeviceSum = null;
|
if (o != null) {
|
allDeviceSum = Double.parseDouble(o.toString());
|
}
|
|
List<HistoryMonthly> regionDeviceHistoryMonthlyList = regionDataMap.get(resultTime);
|
//贡献率
|
String contributionRate = null;
|
Double regionAvg = null;
|
if (!ObjectUtils.isEmpty(regionDeviceHistoryMonthlyList)) {
|
//该乡镇区域均值计算
|
regionAvg = historyMonthlyService.calculatedValue(regionDeviceHistoryMonthlyList, sensorCode, "avg");
|
//该乡镇区域和值计算
|
Double regionSum = historyMonthlyService.calculatedValue(regionDeviceHistoryMonthlyList, sensorCode, "sum");
|
//乡镇区域贡献率计算
|
NumberFormat numberFormat = NumberFormat.getInstance();
|
numberFormat.setMaximumFractionDigits(2);
|
if (allDeviceSum != null && allDeviceSum != 0d) {
|
contributionRate = numberFormat.format(regionSum / (allDeviceSum) * 100) + "%";
|
}
|
}
|
|
//乡镇区域均值
|
timeDataMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));
|
//乡镇区域贡献率
|
timeDataMap.put("name", contributionRate);
|
dataList.add(timeDataMap);
|
}
|
regionMap.put("data", dataList);
|
result.put(regionName, regionMap);
|
}
|
return result;
|
}
|
|
//贡献率，月
|
private Map<String, Object> regionContributionOfMonth(Integer orgId, List<String> regionCodes, String time, String sensorCode) {
|
Map<String, Object> result = new HashMap<>();
|
|
//1.时间信息结果
|
List<String> timeLag = DateUtils.getTimeLag(time);
|
result.put("time", timeLag);
|
|
|
//根据组织获取区域定位
|
QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
|
organizationQueryWrapper.select("location_level_code")
|
.eq("id", orgId);
|
Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
|
|
|
//本市本月所有日数据
|
QueryWrapper<CityAqiDaily> cityAqiDailyQueryWrapper = new QueryWrapper<>();
|
cityAqiDailyQueryWrapper.select("time", "value")
|
.eq("city_code", locationLevelCode)
|
.likeRight("time", time);
|
List<Map<String, Object>> cityAqis = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
|
Map<String, Object> cityAqiMap = new HashMap<>();
|
if (!ObjectUtils.isEmpty(cityAqis)) {
|
for (Map<String, Object> cityAqi : cityAqis) {
|
cityAqiMap.put(cityAqi.get("time").toString().substring(0, 10), cityAqi.get("value"));
|
}
|
}
|
|
|
//该组织所有设备信息，本月所有日数据
|
List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);
|
List<HistoryDaily> allDeviceData = historyDailyService.getValueByMacs(allMacs, time);
|
Map<String, List<HistoryDaily>> allDeviceDataMap = allDeviceData.stream()
|
.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));
|
|
|
//本市数据结果集
|
Map<String, Object> resultCityDataMap = new HashMap<>();
|
List<Map<String, Object>> cityDataList = new ArrayList<>();
|
//所有设备每个时间点，和值
|
Map<String, Object> allDeviceSumMap = new HashMap<>();
|
for (String yearMonthDay : timeLag) {
|
//所有设备该因子累加值
|
Double allDeviceSum = null;
|
List<HistoryDaily> historyDailyList = allDeviceDataMap.get(yearMonthDay);
|
if (!ObjectUtils.isEmpty(historyDailyList)) {
|
allDeviceSum = historyDailyService.calculatedValue(historyDailyList, sensorCode, "sum");
|
}
|
allDeviceSumMap.put(yearMonthDay, allDeviceSum);
|
|
|
//本市值
|
Double cityValue = null;
|
if (cityAqiMap.get(yearMonthDay) != null) {
|
Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDay).toString(), Map.class);
|
//判断城市aqi是否有该因子数据
|
String sensorName = senorMap.get(sensorCode);
|
if (sensorName != null) {
|
cityValue = Double.parseDouble(dataValue.get(sensorName).toString());
|
}
|
}
|
Map<String, Object> cityDataMap = new HashMap<>();
|
//本市数据
|
cityDataMap.put("value", cityValue);
|
cityDataList.add(cityDataMap);
|
}
|
|
//2.本市数据结果
|
resultCityDataMap.put("data", cityDataList);
|
result.put("本市", resultCityDataMap);
|
|
|
for (String regionCode : regionCodes) {
|
//每个乡镇区域数据结果集
|
HashMap<String, Object> regionMap = new HashMap<>();
|
List<Map<String, Object>> dataList = new ArrayList<>();
|
|
|
//乡镇区域名称
|
QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("area_name").eq("area_code", Integer.parseInt(regionCode));
|
String regionName = sysAreaService.getOne(queryWrapper).getAreaName();
|
|
|
//获取乡镇区域下所有设备,本月所有日数据
|
List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));
|
List<HistoryDaily> regionDeviceData = historyDailyService.getValueByMacs(regionMacs, time);
|
//按time分组
|
Map<String, List<HistoryDaily>> regionDataMap = regionDeviceData.stream()
|
.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));
|
|
|
for (String resultTime : timeLag) {
|
//每个时间点数据
|
Map<String, Object> timeDataMap = new HashMap<>();
|
Object o = allDeviceSumMap.get(resultTime);
|
Double allDeviceSum = null;
|
if (o != null) {
|
allDeviceSum = Double.parseDouble(o.toString());
|
}
|
|
List<HistoryDaily> regionDeviceHistoryDailyList = regionDataMap.get(resultTime);
|
//贡献率
|
String contributionRate = null;
|
Double regionAvg = null;
|
if (!ObjectUtils.isEmpty(regionDeviceHistoryDailyList)) {
|
//该乡镇区域均值计算
|
regionAvg = historyDailyService.calculatedValue(regionDeviceHistoryDailyList, sensorCode, "avg");
|
//该乡镇区域和值计算
|
Double regionSum = historyDailyService.calculatedValue(regionDeviceHistoryDailyList, sensorCode, "sum");
|
//乡镇区域贡献率计算
|
NumberFormat numberFormat = NumberFormat.getInstance();
|
numberFormat.setMaximumFractionDigits(2);
|
if (allDeviceSum != null && allDeviceSum != 0d) {
|
contributionRate = numberFormat.format(regionSum / (allDeviceSum) * 100) + "%";
|
}
|
}
|
|
//乡镇区域均值
|
timeDataMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));
|
//乡镇区域贡献率
|
timeDataMap.put("name", contributionRate);
|
dataList.add(timeDataMap);
|
}
|
regionMap.put("data", dataList);
|
result.put(regionName, regionMap);
|
}
|
return result;
|
}
|
|
private Map<String, Object> regionContributionOfDay(Integer orgId, List<String> regionCodes, String time, String sensorCode) {
|
Map<String, Object> result = new HashMap<>();
|
|
//1.时间信息结果
|
List<String> timeLag = DateUtils.getTimeLag(time);
|
result.put("time", timeLag);
|
|
|
//根据组织获取区域定位
|
QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
|
organizationQueryWrapper.select("location_level_code")
|
.eq("id", orgId);
|
Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
|
|
//查询因子上下限
|
QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>();
|
sensorQueryWrapper.select("lower", "upper").eq("code", sensorCode);
|
Sensor sensor = sensorService.getOne(sensorQueryWrapper);
|
Double sensorLower = null;
|
Double sensorUpper = null;
|
if (sensor != null) {
|
sensorLower = sensor.getLower();
|
sensorUpper = sensor.getUpper();
|
}
|
|
//本市本日所有小时数据
|
QueryWrapper<CityAqi> cityAqiQueryWrapper = new QueryWrapper<>();
|
cityAqiQueryWrapper.select("time", "value")
|
.eq("city_code", locationLevelCode)
|
.likeRight("time", time);
|
List<Map<String, Object>> cityAqis = cityAqiService.listMaps(cityAqiQueryWrapper);
|
Map<String, Object> cityAqiMap = new HashMap<>();
|
if (!ObjectUtils.isEmpty(cityAqis)) {
|
for (Map<String, Object> cityAqi : cityAqis) {
|
cityAqiMap.put(cityAqi.get("time").toString().substring(0, 13), cityAqi.get("value"));
|
}
|
}
|
|
|
//该组织所有设备信息，本日所有小时数据
|
List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);
|
List<HistoryHourly> allDeviceData = historyHourlyService.getValueByMacs(allMacs, time);
|
Map<String, List<HistoryHourly>> allDeviceDataMap = allDeviceData.stream()
|
.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));
|
|
|
//本市数据结果集
|
Map<String, Object> resultCityDataMap = new HashMap<>();
|
List<Map<String, Object>> cityDataList = new ArrayList<>();
|
//所有设备每个时间点，和值
|
Map<String, Object> allDeviceSumMap = new HashMap<>();
|
for (String yearMonthDay : timeLag) {
|
//所有设备该因子累加值
|
Double allDeviceSum = null;
|
List<HistoryHourly> historyHourlyList = allDeviceDataMap.get(yearMonthDay);
|
if (!ObjectUtils.isEmpty(historyHourlyList)) {
|
allDeviceSum = historyHourlyService.calculatedValue(historyHourlyList, sensorCode, "sum", sensorLower, sensorUpper);
|
}
|
allDeviceSumMap.put(yearMonthDay, allDeviceSum);
|
|
|
//本市值
|
Double cityValue = null;
|
if (cityAqiMap.get(yearMonthDay) != null) {
|
Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDay).toString(), Map.class);
|
//判断城市aqi是否有该因子数据
|
String sensorName = senorMap.get(sensorCode);
|
if (sensorName != null) {
|
cityValue = Double.parseDouble(dataValue.get(sensorName).toString());
|
}
|
}
|
Map<String, Object> cityDataMap = new HashMap<>();
|
//本市数据
|
cityDataMap.put("value", cityValue);
|
cityDataList.add(cityDataMap);
|
}
|
|
//2.本市数据结果
|
resultCityDataMap.put("data", cityDataList);
|
result.put("本市", resultCityDataMap);
|
|
|
for (String regionCode : regionCodes) {
|
//每个乡镇区域数据结果集
|
HashMap<String, Object> regionMap = new HashMap<>();
|
List<Map<String, Object>> dataList = new ArrayList<>();
|
|
|
//乡镇区域名称
|
QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("area_name").eq("area_code", Integer.parseInt(regionCode));
|
String regionName = sysAreaService.getOne(queryWrapper).getAreaName();
|
|
|
//获取乡镇区域下所有设备,本日所有小时数据
|
List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));
|
List<HistoryHourly> regionDeviceData = historyHourlyService.getValueByMacs(regionMacs, time);
|
//按time分组
|
Map<String, List<HistoryHourly>> regionDataMap = regionDeviceData.stream()
|
.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));
|
|
|
for (String resultTime : timeLag) {
|
//每个时间点数据
|
Map<String, Object> timeDataMap = new HashMap<>();
|
Object o = allDeviceSumMap.get(resultTime);
|
Double allDeviceSum = null;
|
if (o != null) {
|
allDeviceSum = Double.parseDouble(o.toString());
|
}
|
|
List<HistoryHourly> regionDeviceHistoryHourlyList = regionDataMap.get(resultTime);
|
//贡献率
|
String contributionRate = null;
|
Double regionAvg = null;
|
if (!ObjectUtils.isEmpty(regionDeviceHistoryHourlyList)) {
|
//该乡镇区域均值计算
|
regionAvg = historyHourlyService.calculatedValue(regionDeviceHistoryHourlyList, sensorCode, "avg", sensorLower, sensorUpper);
|
//该乡镇区域和值计算
|
Double regionSum = historyHourlyService.calculatedValue(regionDeviceHistoryHourlyList, sensorCode, "sum", sensorLower, sensorUpper);
|
//乡镇区域贡献率计算
|
NumberFormat numberFormat = NumberFormat.getInstance();
|
numberFormat.setMaximumFractionDigits(2);
|
if (allDeviceSum != null && allDeviceSum != 0d) {
|
contributionRate = numberFormat.format(regionSum / (allDeviceSum) * 100) + "%";
|
}
|
}
|
|
//乡镇区域均值
|
timeDataMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));
|
//乡镇区域贡献率
|
timeDataMap.put("name", contributionRate);
|
dataList.add(timeDataMap);
|
}
|
regionMap.put("data", dataList);
|
result.put(regionName, regionMap);
|
}
|
return result;
|
}
|
}
|
