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.*;
|
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.SysDictData;
|
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.ProfessionService;
|
|
import com.moral.api.service.SensorService;
|
import com.moral.constant.Constants;
|
import com.moral.constant.RedisConstants;
|
|
import com.moral.util.AmendUtils;
|
import com.moral.util.DateUtils;
|
|
/**
|
* <p>
|
* 行业贡献率相关接口
|
* </p>
|
*
|
* @author moral
|
* @since 2021-12-23
|
*/
|
@Service
|
public class ProfessionServiceImpl implements ProfessionService {
|
|
@Autowired
|
private DeviceService deviceService;
|
|
@Autowired
|
private RedisTemplate redisTemplate;
|
|
@Autowired
|
private HistoryMonthlyService historyMonthlyService;
|
|
@Autowired
|
private HistoryDailyService historyDailyService;
|
|
@Autowired
|
private HistoryHourlyService historyHourlyService;
|
|
@Autowired
|
private CityAqiMonthlyService cityAqiMonthlyService;
|
|
@Autowired
|
private CityAqiDailyService cityAqiDailyService;
|
|
@Autowired
|
private CityAqiService cityAqiService;
|
|
@Autowired
|
private OrganizationService organizationService;
|
|
@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>> getProfessionsByOrganizationId(Integer organizationId) {
|
//获取该组织下所有设备
|
List<Map<String, Object>> devices = deviceService.getDevicesByOrganizationId(organizationId);
|
Set<Map<String, Object>> result = new HashSet<>();
|
for (Map<String, Object> device : devices) {
|
if(Objects.nonNull(device)&&Objects.nonNull(device.get("professions"))&&device.containsKey("professions")){
|
List<Map<String, Object>> professions = (List<Map<String, Object>>) device.get("professions");
|
result.addAll(professions);
|
}
|
}
|
return result;
|
}
|
|
@Override
|
public Set<Map<String, Object>> getSensorByProfessionsAndOrganizationId(Map<String, Object> params) {
|
Set<Map<String, Object>> result = new HashSet<>();
|
//获取属于该行业所有设备
|
Integer orgId = Integer.parseInt(params.get("organizationId").toString());
|
List<String> professions = Arrays.asList(params.get("professions").toString().split(","));
|
List<Device> devices = getDevicesOfProfessions(orgId, professions);
|
//从redis获取设备详细信息
|
for (Device device : devices) {
|
device = (Device) redisTemplate.opsForHash().get(RedisConstants.DEVICE_INFO, device.getMac());
|
List<Sensor> sensors = device.getVersion().getSensors();
|
for (Sensor sensor : sensors) {
|
Map<String, Object> sensorMap = new HashMap<>();
|
sensorMap.put("sensorCode", sensor.getCode());
|
sensorMap.put("sensorName", sensor.getName());
|
result.add(sensorMap);
|
}
|
}
|
return result;
|
}
|
|
private List<Device> getDevicesOfProfessions(Integer orgId, List<String> professions) {
|
QueryWrapper<Device> queryWrapper = new QueryWrapper<>();
|
queryWrapper.select("mac", "profession")
|
.eq("organization_id", orgId)
|
.eq("is_delete", Constants.NOT_DELETE);
|
List<Device> devices = deviceService.list(queryWrapper);
|
devices = devices.stream().filter(device -> {
|
String[] list = device.getProfession().split(",");
|
for (String s : list) {
|
if (professions.contains(s)) {
|
return true;
|
}
|
}
|
return false;
|
}).collect(Collectors.toList());
|
return devices;
|
}
|
|
@Override
|
public Map<String, Object> professionContribution(Map<String, Object> params) {
|
int orgId = Integer.parseInt(params.get("organizationId").toString());
|
List<String> professions = Arrays.asList(params.get("professions").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 = professionContributionOfYear(orgId, professions, time, sensorCode);
|
break;
|
case "month":
|
result = professionContributionOfMonth(orgId, professions, time, sensorCode);
|
break;
|
case "day":
|
result = professionContributionOfDay(orgId, professions, time, sensorCode);
|
break;
|
default:
|
break;
|
}
|
return result;
|
}
|
|
//贡献率，年
|
private Map<String, Object> professionContributionOfYear(Integer orgId, List<String> professions, 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 profession : professions) {
|
//每个行业数据结果集
|
HashMap<String, Object> professionMap = new HashMap<>();
|
List<Map<String, Object>> dataList = new ArrayList<>();
|
|
|
//查询行业名称
|
String professionName = null;
|
Map<String, Object> dictData = (Map<String, Object>) redisTemplate.opsForValue().get(RedisConstants.DICT_DATA_KEY);
|
List<SysDictData> professionInfo = (List<SysDictData>) dictData.get("profession");
|
for (SysDictData sysDictData : professionInfo) {
|
if (sysDictData.getDataKey().equals(profession)) {
|
professionName = sysDictData.getDataValue();
|
break;
|
}
|
}
|
|
|
//获取该行业所有设备信息，年所有月数据
|
List<Device> professionDevices = getDevicesOfProfessions(orgId, Collections.singletonList(profession));
|
List<String> professionMacs = professionDevices.stream().map(Device::getMac).collect(Collectors.toList());
|
List<HistoryMonthly> professionDeviceData = historyMonthlyService.getValueByMacs(professionMacs, time);
|
Map<String, List<HistoryMonthly>> professionDataMap = professionDeviceData.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> professionDeviceHistoryMonthlyList = professionDataMap.get(resultTime);
|
//贡献率
|
String contributionRate = null;
|
Double professionAvg = null;
|
if (!ObjectUtils.isEmpty(professionDeviceHistoryMonthlyList)) {
|
//该行业均值计算
|
professionAvg = historyMonthlyService.calculatedValue(professionDeviceHistoryMonthlyList, sensorCode, "avg");
|
//该行业累加值计算
|
Double professionSum = historyMonthlyService.calculatedValue(professionDeviceHistoryMonthlyList, sensorCode, "sum");
|
//行业贡献率计算
|
NumberFormat numberFormat = NumberFormat.getInstance();
|
numberFormat.setMaximumFractionDigits(2);
|
if (allDeviceSum != null && allDeviceSum != 0d) {
|
contributionRate = numberFormat.format(professionSum / (allDeviceSum) * 100) + "%";
|
}
|
}
|
|
//行业均值
|
timeDataMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
|
//贡献率
|
timeDataMap.put("name", contributionRate);
|
dataList.add(timeDataMap);
|
}
|
professionMap.put("data", dataList);
|
result.put(professionName, professionMap);
|
}
|
return result;
|
}
|
|
//贡献率，月
|
private Map<String, Object> professionContributionOfMonth(Integer orgId, List<String> professions, 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 profession : professions) {
|
//每个行业数据结果集
|
HashMap<String, Object> professionMap = new HashMap<>();
|
List<Map<String, Object>> dataList = new ArrayList<>();
|
|
|
//查询行业名称
|
String professionName = null;
|
Map<String, Object> dictData = (Map<String, Object>) redisTemplate.opsForValue().get(RedisConstants.DICT_DATA_KEY);
|
List<SysDictData> professionInfo = (List<SysDictData>) dictData.get("profession");
|
for (SysDictData sysDictData : professionInfo) {
|
if (sysDictData.getDataKey().equals(profession)) {
|
professionName = sysDictData.getDataValue();
|
break;
|
}
|
}
|
|
|
//获取该行业所有设备信息，年所有月数据
|
List<Device> professionDevices = getDevicesOfProfessions(orgId, Collections.singletonList(profession));
|
List<String> professionMacs = professionDevices.stream().map(Device::getMac).collect(Collectors.toList());
|
List<HistoryDaily> professionDeviceData = historyDailyService.getValueByMacs(professionMacs, time);
|
Map<String, List<HistoryDaily>> professionDataMap = professionDeviceData.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> preofessionDeviceHistoryDailyList = professionDataMap.get(resultTime);
|
//贡献率
|
String contributionRate = null;
|
Double professionAvg = null;
|
if (!ObjectUtils.isEmpty(preofessionDeviceHistoryDailyList)) {
|
//该行业均值计算
|
professionAvg = historyDailyService.calculatedValue(preofessionDeviceHistoryDailyList, sensorCode, "avg");
|
//该行业累加值计算
|
Double professionSum = historyDailyService.calculatedValue(preofessionDeviceHistoryDailyList, sensorCode, "sum");
|
//行业贡献率计算
|
NumberFormat numberFormat = NumberFormat.getInstance();
|
numberFormat.setMaximumFractionDigits(2);
|
if (allDeviceSum != null && allDeviceSum != 0d) {
|
contributionRate = numberFormat.format(professionSum / (allDeviceSum) * 100) + "%";
|
}
|
}
|
|
//行业均值
|
timeDataMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
|
//贡献率
|
timeDataMap.put("name", contributionRate);
|
dataList.add(timeDataMap);
|
}
|
professionMap.put("data", dataList);
|
result.put(professionName, professionMap);
|
}
|
return result;
|
}
|
|
private Map<String, Object> professionContributionOfDay(Integer orgId, List<String> professions, 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 yearMonthDayHour : timeLag) {
|
//所有设备该因子累加值
|
Double allDeviceSum = null;
|
List<HistoryHourly> historyHourlyList = allDeviceDataMap.get(yearMonthDayHour);
|
if (!ObjectUtils.isEmpty(historyHourlyList)) {
|
allDeviceSum = historyHourlyService.calculatedValue(historyHourlyList, sensorCode, "sum", sensorLower, sensorUpper);
|
}
|
allDeviceSumMap.put(yearMonthDayHour, allDeviceSum);
|
|
|
//本市值
|
Double cityValue = null;
|
if (cityAqiMap.get(yearMonthDayHour) != null) {
|
Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDayHour).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 profession : professions) {
|
//每个行业数据结果集
|
HashMap<String, Object> professionMap = new HashMap<>();
|
List<Map<String, Object>> dataList = new ArrayList<>();
|
|
|
//查询行业名称
|
String professionName = null;
|
Map<String, Object> dictData = (Map<String, Object>) redisTemplate.opsForValue().get(RedisConstants.DICT_DATA_KEY);
|
List<SysDictData> professionInfo = (List<SysDictData>) dictData.get("profession");
|
for (SysDictData sysDictData : professionInfo) {
|
if (sysDictData.getDataKey().equals(profession)) {
|
professionName = sysDictData.getDataValue();
|
break;
|
}
|
}
|
|
|
//获取该行业所有设备信息，年所有月数据
|
List<Device> professionDevices = getDevicesOfProfessions(orgId, Collections.singletonList(profession));
|
List<String> professionMacs = professionDevices.stream().map(Device::getMac).collect(Collectors.toList());
|
List<HistoryHourly> professionDeviceData = historyHourlyService.getValueByMacs(professionMacs, time);
|
Map<String, List<HistoryHourly>> professionDataMap = professionDeviceData.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> preofessionDeviceHistoryHourlyList = professionDataMap.get(resultTime);
|
//贡献率
|
String contributionRate = null;
|
Double professionAvg = null;
|
if (!ObjectUtils.isEmpty(preofessionDeviceHistoryHourlyList)) {
|
//该行业均值计算
|
professionAvg = historyHourlyService.calculatedValue(preofessionDeviceHistoryHourlyList, sensorCode, "avg", sensorLower, sensorUpper);
|
//该行业累加值计算
|
Double professionSum = historyHourlyService.calculatedValue(preofessionDeviceHistoryHourlyList, sensorCode, "sum", sensorLower, sensorUpper);
|
//行业贡献率计算
|
NumberFormat numberFormat = NumberFormat.getInstance();
|
numberFormat.setMaximumFractionDigits(2);
|
if (allDeviceSum != null && allDeviceSum != 0d) {
|
contributionRate = numberFormat.format(professionSum / (allDeviceSum) * 100) + "%";
|
}
|
}
|
|
//行业均值
|
timeDataMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
|
//贡献率
|
timeDataMap.put("name", contributionRate);
|
dataList.add(timeDataMap);
|
}
|
professionMap.put("data", dataList);
|
result.put(professionName, professionMap);
|
}
|
return result;
|
}
|
}
|
