From dad9ebf1e6bfd86e7d4ce9cb976a8f24422c4cf7 Mon Sep 17 00:00:00 2001
From: lizijie <lzjiiie@163.com>
Date: Tue, 28 Dec 2021 15:30:55 +0800
Subject: [PATCH] 获取设备一天24小时平均值、最小值、最大值接口
---
screen-api/src/main/java/com/moral/api/service/impl/ProfessionServiceImpl.java | 526 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 files changed, 517 insertions(+), 9 deletions(-)
diff --git a/screen-api/src/main/java/com/moral/api/service/impl/ProfessionServiceImpl.java b/screen-api/src/main/java/com/moral/api/service/impl/ProfessionServiceImpl.java
index d67599f..104c9f0 100644
--- a/screen-api/src/main/java/com/moral/api/service/impl/ProfessionServiceImpl.java
+++ b/screen-api/src/main/java/com/moral/api/service/impl/ProfessionServiceImpl.java
@@ -3,22 +3,49 @@
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.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
+import java.util.OptionalDouble;
import java.util.Set;
+import java.util.function.Supplier;
import java.util.stream.Collectors;
+import java.util.stream.DoubleStream;
+import java.util.stream.Stream;
+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.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.constant.Constants;
import com.moral.constant.RedisConstants;
+
+import com.moral.util.AmendUtils;
+import com.moral.util.DateUtils;
/**
* <p>
@@ -36,6 +63,38 @@
@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;
+
+ private static 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) {
@@ -55,6 +114,22 @@
//���������������������������������
Integer orgId = Integer.parseInt(params.get("organizationId").toString());
List<String> professions = Arrays.asList(params.get("professions").toString().split(","));
+ List<Device> devices = getDevicesOfProfessions(orgId, professions);
+ //���redis������������������������
+ 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)
@@ -69,18 +144,451 @@
}
return false;
}).collect(Collectors.toList());
+ return devices;
+ }
- //���redis������������������������
- 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);
+ @Override
+ public List<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();
+ List<Map<String, Object>> result = new ArrayList<>();
+
+ 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;
+ }
+
+ //���������������
+ private List<Map<String, Object>> professionContributionOfYear(Integer orgId, List<String> professions, String time, String sensorCode) {
+ List<Map<String, Object>> result = new ArrayList<>();
+
+ //������������������������������
+ QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
+ organizationQueryWrapper.select("location_level_code")
+ .eq("id", orgId);
+ Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
+
+ //���������������������������
+ List allMacs = getMacsByOrgId(orgId);
+
+ List<String> timeLag = DateUtils.getTimeLag(time);
+
+ //���������������������������
+ 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"));
}
}
+
+
+ //���������������������������������
+ List<HistoryMonthly> allDeviceData = historyMonthlyService.getValueByMacs(allMacs, time);
+ //���time������
+ Map<String, List<HistoryMonthly>> allDeviceDataMap = allDeviceData.stream()
+ .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));
+
+
+ for (String yearMonth : timeLag) {
+ Map<String, Object> resultMap = new HashMap<>();
+ resultMap.put("time", yearMonth);
+
+
+ //������������������������������
+ Double allDeviceSum = null;
+ List<HistoryMonthly> historyMonthlyList = allDeviceDataMap.get(yearMonth);
+ if (!ObjectUtils.isEmpty(historyMonthlyList)) {
+ allDeviceSum = historyMonthlyList.stream().flatMapToDouble(v -> {
+ Map<String, Object> dataValue = JSONObject.parseObject(v.getValue(), Map.class);
+ Object o = dataValue.get(sensorCode);
+ if (o == null) {
+ return null;
+ }
+ double aDouble = Double.parseDouble(o.toString());
+ return DoubleStream.of(aDouble);
+ }).sum();
+ }
+ resultMap.put("allDeviceSum", allDeviceSum);
+
+
+ //���������
+ Double cityValue = null;
+ if (cityAqiMap.get(yearMonth) != null) {
+ Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonth).toString(), Map.class);
+ Object o = dataValue.get(sensorCode);
+ if (o != null) {
+ cityValue = (Double) o;
+ }
+ }
+ resultMap.put("cityValue", cityValue);
+ result.add(resultMap);
+ }
+
+ for (String profession : professions) {
+ //���������������������
+ 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);
+ //���time������
+ Map<String, List<HistoryMonthly>> professionDataMap = professionDeviceData.stream()
+ .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));
+
+
+ for (Map<String, Object> map : result) {
+ Object allDeviceSum = map.get("allDeviceSum");
+ String resultTime = map.get("time").toString();
+ List<HistoryMonthly> historyMonthlyList = professionDataMap.get(resultTime);
+ //���������
+ String contributionRate = null;
+ Double professionAvg = null;
+ if (!ObjectUtils.isEmpty(historyMonthlyList)) {
+ Supplier<Stream<HistoryMonthly>> streamSupplier = historyMonthlyList::stream;
+ professionAvg = calculatedValueOfYear(streamSupplier, sensorCode, "avg");
+ Double professionSum = calculatedValueOfYear(streamSupplier, sensorCode, "sum");
+ //���������������������
+ NumberFormat numberFormat = NumberFormat.getInstance();
+ numberFormat.setMaximumFractionDigits(2);
+ if (allDeviceSum != null) {
+ contributionRate = numberFormat.format(professionSum / ((Double) allDeviceSum) * 100) + "%";
+ }
+ }
+ Map<String, Object> professionMap = new HashMap<>();
+ professionMap.put("contributionRate", contributionRate);
+ professionMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
+ map.put(profession, professionMap);
+ }
+ }
+ result.forEach(map -> map.remove("allDeviceSum"));
+ return result;
+ }
+
+ //���������������
+ private List<Map<String, Object>> professionContributionOfMonth(Integer orgId, List<String> professions, String time, String sensorCode) {
+ List<Map<String, Object>> result = new ArrayList<>();
+
+ //������������������������������
+ QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
+ organizationQueryWrapper.select("location_level_code")
+ .eq("id", orgId);
+ Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
+
+ //���������������������������
+ List allMacs = getMacsByOrgId(orgId);
+
+ //������������
+ List<String> timeLag = DateUtils.getTimeLag(time);
+
+
+ //���������������������������
+ 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"));
+ }
+ }
+
+
+ //���������������������������������
+ List<HistoryDaily> allDeviceData = historyDailyService.getValueByMacs(allMacs, time);
+ //���time������
+ Map<String, List<HistoryDaily>> allDeviceDataMap = allDeviceData.stream()
+ .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));
+
+
+ for (String yearMonthDay : timeLag) {
+ Map<String, Object> resultMap = new HashMap<>();
+ resultMap.put("time", yearMonthDay);
+
+ //������������������������������
+ Double allDeviceSum = null;
+ List<HistoryDaily> historyDailyList = allDeviceDataMap.get(yearMonthDay);
+ if (!ObjectUtils.isEmpty(historyDailyList)) {
+ allDeviceSum = historyDailyList.stream().flatMapToDouble(v -> {
+ Map<String, Object> dataValue = JSONObject.parseObject(v.getValue(), Map.class);
+ Object o = dataValue.get(sensorCode);
+ if (o == null) {
+ return null;
+ }
+ double aDouble = Double.parseDouble(o.toString());
+ return DoubleStream.of(aDouble);
+ }).sum();
+ }
+ resultMap.put("allDeviceSum", allDeviceSum);
+
+
+ //���������
+ Double cityValue = null;
+ if (cityAqiMap.get(yearMonthDay) != null) {
+ Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDay).toString(), Map.class);
+ Object o = dataValue.get(sensorCode);
+ if (o != null) {
+ cityValue = (Double) o;
+ }
+ }
+ resultMap.put("cityValue", cityValue);
+ result.add(resultMap);
+ }
+
+ for (String profession : professions) {
+ //���������������������
+ 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);
+ //���time������
+ Map<String, List<HistoryDaily>> professionDataMap = professionDeviceData.stream()
+ .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));
+
+
+ for (Map<String, Object> map : result) {
+ Object allDeviceSum = map.get("allDeviceSum");
+ String resultTime = map.get("time").toString();
+ List<HistoryDaily> historyDailyList = professionDataMap.get(resultTime);
+ //���������
+ String contributionRate = null;
+ Double professionAvg = null;
+ if (!ObjectUtils.isEmpty(historyDailyList)) {
+ Supplier<Stream<HistoryDaily>> streamSupplier = historyDailyList::stream;
+ professionAvg = calculatedValueOfMonth(streamSupplier, sensorCode, "avg");
+ Double professionSum = calculatedValueOfMonth(streamSupplier, sensorCode, "sum");
+ //���������������������
+ NumberFormat numberFormat = NumberFormat.getInstance();
+ numberFormat.setMaximumFractionDigits(2);
+ if (allDeviceSum != null) {
+ contributionRate = numberFormat.format(professionSum / ((Double) allDeviceSum) * 100) + "%";
+ }
+ }
+ Map<String, Object> professionMap = new HashMap<>();
+ professionMap.put("contributionRate", contributionRate);
+ professionMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
+ map.put(profession, professionMap);
+ }
+ }
+ result.forEach(map -> map.remove("allDeviceSum"));
+ return result;
+ }
+
+ private List<Map<String, Object>> professionContributionOfDay(Integer orgId, List<String> professions, String time, String sensorCode) {
+ List<Map<String, Object>> result = new ArrayList<>();
+
+ //������������������������������
+ QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
+ organizationQueryWrapper.select("location_level_code")
+ .eq("id", orgId);
+ Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
+
+ //���������������������������
+ List allMacs = getMacsByOrgId(orgId);
+
+ //���������������
+ List<String> timeLag = DateUtils.getTimeLag(time);
+
+
+ //������������������������������
+ 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"));
+ }
+ }
+
+
+ //������������������������������������
+ List<HistoryHourly> allDeviceData = historyHourlyService.getValueByMacs(allMacs, time);
+ //���time������
+ Map<String, List<HistoryHourly>> allDeviceDataMap = allDeviceData.stream()
+ .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));
+
+
+ for (String yearMonthDayHour : timeLag) {
+ Map<String, Object> resultMap = new HashMap<>();
+ resultMap.put("time", yearMonthDayHour);
+
+
+ //������������������������������
+ Double allDeviceSum = null;
+ List<HistoryHourly> historyHourlyList = allDeviceDataMap.get(yearMonthDayHour);
+ if (!ObjectUtils.isEmpty(historyHourlyList)) {
+ allDeviceSum = historyHourlyList.stream().flatMapToDouble(v -> {
+ Map<String, Object> dataValue = JSONObject.parseObject(v.getValue(), Map.class);
+ Object o = dataValue.get(sensorCode);
+ if (o == null) {
+ return null;
+ }
+ double aDouble = Double.parseDouble(o.toString());
+ return DoubleStream.of(aDouble);
+ }).sum();
+ }
+ resultMap.put("allDeviceSum", allDeviceSum);
+
+
+ //���������
+ Double cityValue = null;
+ if (cityAqiMap.get(yearMonthDayHour) != null) {
+ Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDayHour).toString(), Map.class);
+ Object o = dataValue.get(sensorCode);
+ if (o != null) {
+ cityValue = (Double) o;
+ }
+ }
+ resultMap.put("cityValue", cityValue);
+ result.add(resultMap);
+ }
+
+ for (String profession : professions) {
+ //���������������������
+ 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);
+ //���time������
+ Map<String, List<HistoryHourly>> professionDataMap = professionDeviceData.stream()
+ .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));
+
+
+ for (Map<String, Object> map : result) {
+ Object allDeviceSum = map.get("allDeviceSum");
+ String resultTime = map.get("time").toString();
+ List<HistoryHourly> historyHourlyList = professionDataMap.get(resultTime);
+ //���������
+ String contributionRate = null;
+ Double professionAvg = null;
+ if (!ObjectUtils.isEmpty(historyHourlyList)) {
+ Supplier<Stream<HistoryHourly>> streamSupplier = historyHourlyList::stream;
+ professionAvg = calculatedValueOfDay(streamSupplier, sensorCode, "avg");
+ Double professionSum = calculatedValueOfDay(streamSupplier, sensorCode, "sum");
+ //���������������������
+ NumberFormat numberFormat = NumberFormat.getInstance();
+ numberFormat.setMaximumFractionDigits(2);
+ if (allDeviceSum != null) {
+ contributionRate = numberFormat.format(professionSum / ((Double) allDeviceSum) * 100) + "%";
+ }
+ }
+ Map<String, Object> professionMap = new HashMap<>();
+ professionMap.put("contributionRate", contributionRate);
+ professionMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
+ map.put(profession, professionMap);
+ }
+ }
+ result.forEach(map -> map.remove("allDeviceSum"));
+ return result;
+ }
+
+ //������������id������������macs
+ private List getMacsByOrgId(Integer orgId) {
+ //���������������������������
+ QueryWrapper<Device> deviceQueryWrapper = new QueryWrapper<>();
+ deviceQueryWrapper.select("mac")
+ .eq("organization_id", orgId)
+ .eq("is_delete", Constants.NOT_DELETE);
+ return deviceService.listObjs(deviceQueryWrapper);
+ }
+
+ //������������������������������
+ private Double calculatedValueOfDay(Supplier<Stream<HistoryHourly>> supplier, String sensorCode, String type) {
+ DoubleStream doubleStream = supplier.get()
+ .flatMapToDouble(v -> {
+ Map<String, Object> dataValue = JSONObject.parseObject(v.getValue(), Map.class);
+ Object sensorValue = dataValue.get(sensorCode);
+ if (ObjectUtils.isEmpty(sensorValue)) {
+ return null;
+ }
+ double aDouble = Double.parseDouble(sensorValue.toString());
+ return DoubleStream.of(aDouble);
+ });
+ Double result = null;
+ if ("avg".equals(type)) {
+ OptionalDouble optionalDouble = doubleStream.average();
+ if (optionalDouble.isPresent()) {
+ result = optionalDouble.getAsDouble();
+ }
+ } else if ("sum".equals(type)) {
+ result = doubleStream.sum();
+ }
+ return result;
+ }
+
+ //������������������������������
+ private Double calculatedValueOfMonth(Supplier<Stream<HistoryDaily>> supplier, String sensorCode, String type) {
+ DoubleStream doubleStream = supplier.get()
+ .flatMapToDouble(v -> {
+ Map<String, Object> dataValue = JSONObject.parseObject(v.getValue(), Map.class);
+ Object sensorValue = dataValue.get(sensorCode);
+ if (ObjectUtils.isEmpty(sensorValue)) {
+ return null;
+ }
+ double aDouble = Double.parseDouble(sensorValue.toString());
+ return DoubleStream.of(aDouble);
+ });
+ Double result = null;
+ if ("avg".equals(type)) {
+ OptionalDouble optionalDouble = doubleStream.average();
+ if (optionalDouble.isPresent()) {
+ result = optionalDouble.getAsDouble();
+ }
+ } else if ("sum".equals(type)) {
+ result = doubleStream.sum();
+ }
+ return result;
+ }
+
+ //������������������������������
+ private Double calculatedValueOfYear(Supplier<Stream<HistoryMonthly>> supplier, String sensorCode, String type) {
+ DoubleStream doubleStream = supplier.get()
+ .flatMapToDouble(v -> {
+ Map<String, Object> dataValue = JSONObject.parseObject(v.getValue(), Map.class);
+ Object sensorValue = dataValue.get(sensorCode);
+ if (ObjectUtils.isEmpty(sensorValue)) {
+ return null;
+ }
+ double aDouble = Double.parseDouble(sensorValue.toString());
+ return DoubleStream.of(aDouble);
+ });
+ Double result = null;
+ if ("avg".equals(type)) {
+ OptionalDouble optionalDouble = doubleStream.average();
+ if (optionalDouble.isPresent()) {
+ result = optionalDouble.getAsDouble();
+ }
+ } else if ("sum".equals(type)) {
+ result = doubleStream.sum();
+ }
return result;
}
}
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