package com.moral.api.service.impl;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.stereotype.Service;
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import org.springframework.util.ObjectUtils;
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import java.text.NumberFormat;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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import java.util.stream.Collectors;
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import com.alibaba.fastjson.JSONObject;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.moral.api.entity.CityAqi;
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import com.moral.api.entity.CityAqiDaily;
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import com.moral.api.entity.CityAqiMonthly;
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import com.moral.api.entity.Device;
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import com.moral.api.entity.HistoryDaily;
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import com.moral.api.entity.HistoryHourly;
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import com.moral.api.entity.HistoryMonthly;
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import com.moral.api.entity.Organization;
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import com.moral.api.entity.Sensor;
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import com.moral.api.entity.SysDictData;
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import com.moral.api.service.CityAqiDailyService;
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import com.moral.api.service.CityAqiMonthlyService;
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import com.moral.api.service.CityAqiService;
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import com.moral.api.service.DeviceService;
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import com.moral.api.service.HistoryDailyService;
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import com.moral.api.service.HistoryHourlyService;
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import com.moral.api.service.HistoryMonthlyService;
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import com.moral.api.service.OrganizationService;
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import com.moral.api.service.ProfessionService;
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import com.moral.api.service.SensorService;
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import com.moral.constant.Constants;
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import com.moral.constant.RedisConstants;
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import com.moral.util.AmendUtils;
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import com.moral.util.DateUtils;
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/**
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* <p>
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* 行业贡献率相关接口
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* </p>
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*
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* @author moral
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* @since 2021-12-23
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*/
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@Service
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public class ProfessionServiceImpl implements ProfessionService {
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@Autowired
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private DeviceService deviceService;
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@Autowired
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private RedisTemplate redisTemplate;
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@Autowired
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private HistoryMonthlyService historyMonthlyService;
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@Autowired
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private HistoryDailyService historyDailyService;
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@Autowired
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private HistoryHourlyService historyHourlyService;
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@Autowired
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private CityAqiMonthlyService cityAqiMonthlyService;
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@Autowired
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private CityAqiDailyService cityAqiDailyService;
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@Autowired
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private CityAqiService cityAqiService;
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@Autowired
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private OrganizationService organizationService;
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@Autowired
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private SensorService sensorService;
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private static final Map<String, String> senorMap = new HashMap<>();
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static {
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senorMap.put(Constants.SENSOR_CODE_PM25, "PM2_5");
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senorMap.put(Constants.SENSOR_CODE_PM10, "PM10");
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senorMap.put(Constants.SENSOR_CODE_SO2, "SO2");
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senorMap.put(Constants.SENSOR_CODE_NO2, "NO2");
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senorMap.put(Constants.SENSOR_CODE_CO, "CO");
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senorMap.put(Constants.SENSOR_CODE_O3, "O3");
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}
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@Override
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public Set<Map<String, Object>> getProfessionsByOrganizationId(Integer organizationId) {
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//获取该组织下所有设备
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List<Map<String, Object>> devices = deviceService.getDevicesByOrganizationId(organizationId);
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Set<Map<String, Object>> result = new HashSet<>();
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for (Map<String, Object> device : devices) {
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List<Map<String, Object>> professions = (List<Map<String, Object>>) device.get("professions");
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result.addAll(professions);
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}
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return result;
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}
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@Override
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public Set<Map<String, Object>> getSensorByProfessionsAndOrganizationId(Map<String, Object> params) {
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Set<Map<String, Object>> result = new HashSet<>();
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//获取属于该行业所有设备
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Integer orgId = Integer.parseInt(params.get("organizationId").toString());
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List<String> professions = Arrays.asList(params.get("professions").toString().split(","));
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List<Device> devices = getDevicesOfProfessions(orgId, professions);
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//从redis获取设备详细信息
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for (Device device : devices) {
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device = (Device) redisTemplate.opsForHash().get(RedisConstants.DEVICE_INFO, device.getMac());
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List<Sensor> sensors = device.getVersion().getSensors();
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for (Sensor sensor : sensors) {
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Map<String, Object> sensorMap = new HashMap<>();
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sensorMap.put("sensorCode", sensor.getCode());
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sensorMap.put("sensorName", sensor.getName());
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result.add(sensorMap);
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}
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}
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return result;
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}
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private List<Device> getDevicesOfProfessions(Integer orgId, List<String> professions) {
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QueryWrapper<Device> queryWrapper = new QueryWrapper<>();
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queryWrapper.select("mac", "profession")
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.eq("organization_id", orgId)
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.eq("is_delete", Constants.NOT_DELETE);
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List<Device> devices = deviceService.list(queryWrapper);
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devices = devices.stream().filter(device -> {
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String[] list = device.getProfession().split(",");
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for (String s : list) {
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if (professions.contains(s)) {
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return true;
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}
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}
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return false;
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}).collect(Collectors.toList());
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return devices;
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}
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@Override
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public Map<String, Object> professionContribution(Map<String, Object> params) {
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int orgId = Integer.parseInt(params.get("organizationId").toString());
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List<String> professions = Arrays.asList(params.get("professions").toString().split(","));
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String type = params.get("type").toString();
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String time = params.get("time").toString();
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String sensorCode = params.get("sensorCode").toString();
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Map<String, Object> result = new HashMap<>();
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switch (type) {
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case "year":
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result = professionContributionOfYear(orgId, professions, time, sensorCode);
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break;
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case "month":
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result = professionContributionOfMonth(orgId, professions, time, sensorCode);
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break;
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case "day":
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result = professionContributionOfDay(orgId, professions, time, sensorCode);
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break;
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default:
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break;
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}
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return result;
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}
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//贡献率，年
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private Map<String, Object> professionContributionOfYear(Integer orgId, List<String> professions, String time, String sensorCode) {
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Map<String, Object> result = new HashMap<>();
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//1.时间信息结果
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List<String> timeLag = DateUtils.getTimeLag(time);
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result.put("time", timeLag);
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//根据组织获取区域定位
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QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
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organizationQueryWrapper.select("location_level_code")
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.eq("id", orgId);
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Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
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//本市本年所有月数据
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QueryWrapper<CityAqiMonthly> cityAqiMonthlyQueryWrapper = new QueryWrapper<>();
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cityAqiMonthlyQueryWrapper.select("time", "value")
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.eq("city_code", locationLevelCode)
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.likeRight("time", time);
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List<Map<String, Object>> cityAqis = cityAqiMonthlyService.listMaps(cityAqiMonthlyQueryWrapper);
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Map<String, Object> cityAqiMap = new HashMap<>();
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if (!ObjectUtils.isEmpty(cityAqis)) {
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for (Map<String, Object> cityAqi : cityAqis) {
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cityAqiMap.put(cityAqi.get("time").toString().substring(0, 7), cityAqi.get("value"));
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}
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}
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//该组织所有设备信息，本年所有月数据
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List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);
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List<HistoryMonthly> allDeviceData = historyMonthlyService.getValueByMacs(allMacs, time);
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Map<String, List<HistoryMonthly>> allDeviceDataMap = allDeviceData.stream()
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.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));
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//本市数据结果集
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Map<String, Object> resultCityDataMap = new HashMap<>();
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List<Map<String, Object>> cityDataList = new ArrayList<>();
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//所有设备每个时间点，和值
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Map<String, Object> allDeviceSumMap = new HashMap<>();
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for (String yearMonth : timeLag) {
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//所有设备该因子累加值
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Double allDeviceSum = null;
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List<HistoryMonthly> historyMonthlyList = allDeviceDataMap.get(yearMonth);
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if (!ObjectUtils.isEmpty(historyMonthlyList)) {
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allDeviceSum = historyMonthlyService.calculatedValue(historyMonthlyList, sensorCode, "sum");
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}
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allDeviceSumMap.put(yearMonth, allDeviceSum);
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//本市值
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Double cityValue = null;
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if (cityAqiMap.get(yearMonth) != null) {
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Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonth).toString(), Map.class);
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//判断城市aqi是否有该因子数据
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String sensorName = senorMap.get(sensorCode);
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if (sensorName != null) {
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cityValue = Double.parseDouble(dataValue.get(sensorName).toString());
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}
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}
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Map<String, Object> cityDataMap = new HashMap<>();
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//本市数据
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cityDataMap.put("value", cityValue);
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cityDataList.add(cityDataMap);
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}
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//2.本市数据结果
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resultCityDataMap.put("data", cityDataList);
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result.put("本市", resultCityDataMap);
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for (String profession : professions) {
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//每个行业数据结果集
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HashMap<String, Object> professionMap = new HashMap<>();
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List<Map<String, Object>> dataList = new ArrayList<>();
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//查询行业名称
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String professionName = null;
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Map<String, Object> dictData = (Map<String, Object>) redisTemplate.opsForValue().get(RedisConstants.DICT_DATA_KEY);
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List<SysDictData> professionInfo = (List<SysDictData>) dictData.get("profession");
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for (SysDictData sysDictData : professionInfo) {
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if (sysDictData.getDataKey().equals(profession)) {
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professionName = sysDictData.getDataValue();
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break;
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}
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}
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//获取该行业所有设备信息，年所有月数据
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List<Device> professionDevices = getDevicesOfProfessions(orgId, Collections.singletonList(profession));
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List<String> professionMacs = professionDevices.stream().map(Device::getMac).collect(Collectors.toList());
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List<HistoryMonthly> professionDeviceData = historyMonthlyService.getValueByMacs(professionMacs, time);
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Map<String, List<HistoryMonthly>> professionDataMap = professionDeviceData.stream()
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.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));
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for (String resultTime : timeLag) {
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//每个时间点数据
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Map<String, Object> timeDataMap = new HashMap<>();
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Object o = allDeviceSumMap.get(resultTime);
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Double allDeviceSum = null;
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if (o != null) {
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allDeviceSum = Double.parseDouble(o.toString());
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}
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List<HistoryMonthly> professionDeviceHistoryMonthlyList = professionDataMap.get(resultTime);
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//贡献率
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String contributionRate = null;
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Double professionAvg = null;
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if (!ObjectUtils.isEmpty(professionDeviceHistoryMonthlyList)) {
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//该行业均值计算
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professionAvg = historyMonthlyService.calculatedValue(professionDeviceHistoryMonthlyList, sensorCode, "avg");
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//该行业累加值计算
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Double professionSum = historyMonthlyService.calculatedValue(professionDeviceHistoryMonthlyList, sensorCode, "sum");
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//行业贡献率计算
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NumberFormat numberFormat = NumberFormat.getInstance();
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numberFormat.setMaximumFractionDigits(2);
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if (allDeviceSum != null && allDeviceSum != 0d) {
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contributionRate = numberFormat.format(professionSum / (allDeviceSum) * 100) + "%";
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}
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}
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//行业均值
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timeDataMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
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//贡献率
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timeDataMap.put("name", contributionRate);
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dataList.add(timeDataMap);
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}
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professionMap.put("data", dataList);
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result.put(professionName, professionMap);
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}
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return result;
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}
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//贡献率，月
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private Map<String, Object> professionContributionOfMonth(Integer orgId, List<String> professions, String time, String sensorCode) {
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Map<String, Object> result = new HashMap<>();
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//1.时间信息结果
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List<String> timeLag = DateUtils.getTimeLag(time);
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result.put("time", timeLag);
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//根据组织获取区域定位
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QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
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organizationQueryWrapper.select("location_level_code")
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.eq("id", orgId);
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Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
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//本市本月所有日数据
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QueryWrapper<CityAqiDaily> cityAqiDailyQueryWrapper = new QueryWrapper<>();
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cityAqiDailyQueryWrapper.select("time", "value")
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.eq("city_code", locationLevelCode)
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.likeRight("time", time);
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List<Map<String, Object>> cityAqis = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
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Map<String, Object> cityAqiMap = new HashMap<>();
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if (!ObjectUtils.isEmpty(cityAqis)) {
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for (Map<String, Object> cityAqi : cityAqis) {
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cityAqiMap.put(cityAqi.get("time").toString().substring(0, 10), cityAqi.get("value"));
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}
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}
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//该组织所有设备信息，本月所有日数据
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List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);
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List<HistoryDaily> allDeviceData = historyDailyService.getValueByMacs(allMacs, time);
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Map<String, List<HistoryDaily>> allDeviceDataMap = allDeviceData.stream()
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.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));
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//本市数据结果集
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Map<String, Object> resultCityDataMap = new HashMap<>();
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List<Map<String, Object>> cityDataList = new ArrayList<>();
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//所有设备每个时间点，和值
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Map<String, Object> allDeviceSumMap = new HashMap<>();
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for (String yearMonthDay : timeLag) {
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//所有设备该因子累加值
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Double allDeviceSum = null;
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List<HistoryDaily> historyDailyList = allDeviceDataMap.get(yearMonthDay);
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if (!ObjectUtils.isEmpty(historyDailyList)) {
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allDeviceSum = historyDailyService.calculatedValue(historyDailyList, sensorCode, "sum");
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}
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allDeviceSumMap.put(yearMonthDay, allDeviceSum);
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//本市值
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Double cityValue = null;
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if (cityAqiMap.get(yearMonthDay) != null) {
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Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDay).toString(), Map.class);
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//判断城市aqi是否有该因子数据
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String sensorName = senorMap.get(sensorCode);
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if (sensorName != null) {
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cityValue = Double.parseDouble(dataValue.get(sensorName).toString());
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}
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}
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Map<String, Object> cityDataMap = new HashMap<>();
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//本市数据
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cityDataMap.put("value", cityValue);
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cityDataList.add(cityDataMap);
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}
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//2.本市数据结果
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resultCityDataMap.put("data", cityDataList);
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result.put("本市", resultCityDataMap);
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for (String profession : professions) {
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//每个行业数据结果集
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HashMap<String, Object> professionMap = new HashMap<>();
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List<Map<String, Object>> dataList = new ArrayList<>();
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//查询行业名称
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String professionName = null;
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Map<String, Object> dictData = (Map<String, Object>) redisTemplate.opsForValue().get(RedisConstants.DICT_DATA_KEY);
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List<SysDictData> professionInfo = (List<SysDictData>) dictData.get("profession");
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for (SysDictData sysDictData : professionInfo) {
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if (sysDictData.getDataKey().equals(profession)) {
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professionName = sysDictData.getDataValue();
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break;
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}
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}
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//获取该行业所有设备信息，年所有月数据
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List<Device> professionDevices = getDevicesOfProfessions(orgId, Collections.singletonList(profession));
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List<String> professionMacs = professionDevices.stream().map(Device::getMac).collect(Collectors.toList());
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List<HistoryDaily> professionDeviceData = historyDailyService.getValueByMacs(professionMacs, time);
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Map<String, List<HistoryDaily>> professionDataMap = professionDeviceData.stream()
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.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));
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for (String resultTime : timeLag) {
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//每个时间点数据
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Map<String, Object> timeDataMap = new HashMap<>();
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Object o = allDeviceSumMap.get(resultTime);
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Double allDeviceSum = null;
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if (o != null) {
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allDeviceSum = Double.parseDouble(o.toString());
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}
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List<HistoryDaily> preofessionDeviceHistoryDailyList = professionDataMap.get(resultTime);
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//贡献率
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String contributionRate = null;
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Double professionAvg = null;
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if (!ObjectUtils.isEmpty(preofessionDeviceHistoryDailyList)) {
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//该行业均值计算
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professionAvg = historyDailyService.calculatedValue(preofessionDeviceHistoryDailyList, sensorCode, "avg");
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//该行业累加值计算
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Double professionSum = historyDailyService.calculatedValue(preofessionDeviceHistoryDailyList, sensorCode, "sum");
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//行业贡献率计算
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NumberFormat numberFormat = NumberFormat.getInstance();
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numberFormat.setMaximumFractionDigits(2);
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if (allDeviceSum != null && allDeviceSum != 0d) {
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contributionRate = numberFormat.format(professionSum / (allDeviceSum) * 100) + "%";
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}
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}
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//行业均值
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timeDataMap.put("value", professionAvg == null ? null : AmendUtils.sciCal(professionAvg, 0));
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//贡献率
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timeDataMap.put("name", contributionRate);
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dataList.add(timeDataMap);
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}
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professionMap.put("data", dataList);
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result.put(professionName, professionMap);
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}
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return result;
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}
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private Map<String, Object> professionContributionOfDay(Integer orgId, List<String> professions, String time, String sensorCode) {
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Map<String, Object> result = new HashMap<>();
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//1.时间信息结果
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List<String> timeLag = DateUtils.getTimeLag(time);
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result.put("time", timeLag);
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//根据组织获取区域定位
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QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();
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organizationQueryWrapper.select("location_level_code")
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.eq("id", orgId);
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Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();
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//查询因子上下限
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QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>();
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sensorQueryWrapper.select("lower", "upper").eq("code", sensorCode);
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Sensor sensor = sensorService.getOne(sensorQueryWrapper);
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Double sensorLower = null;
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Double sensorUpper = null;
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if (sensor != null) {
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sensorLower = sensor.getLower();
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sensorUpper = sensor.getUpper();
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}
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//本市本日所有小时数据
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QueryWrapper<CityAqi> cityAqiQueryWrapper = new QueryWrapper<>();
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cityAqiQueryWrapper.select("time", "value")
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.eq("city_code", locationLevelCode)
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.likeRight("time", time);
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List<Map<String, Object>> cityAqis = cityAqiService.listMaps(cityAqiQueryWrapper);
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Map<String, Object> cityAqiMap = new HashMap<>();
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if (!ObjectUtils.isEmpty(cityAqis)) {
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for (Map<String, Object> cityAqi : cityAqis) {
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cityAqiMap.put(cityAqi.get("time").toString().substring(0, 13), cityAqi.get("value"));
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}
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}
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//该组织所有设备信息，本日所有小时数据
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List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);
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List<HistoryHourly> allDeviceData = historyHourlyService.getValueByMacs(allMacs, time);
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Map<String, List<HistoryHourly>> allDeviceDataMap = allDeviceData.stream()
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.collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));
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//本市数据结果集
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Map<String, Object> resultCityDataMap = new HashMap<>();
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List<Map<String, Object>> cityDataList = new ArrayList<>();
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//所有设备每个时间点，和值
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Map<String, Object> allDeviceSumMap = new HashMap<>();
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for (String yearMonthDayHour : timeLag) {
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//所有设备该因子累加值
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Double allDeviceSum = null;
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List<HistoryHourly> historyHourlyList = allDeviceDataMap.get(yearMonthDayHour);
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if (!ObjectUtils.isEmpty(historyHourlyList)) {
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allDeviceSum = historyHourlyService.calculatedValue(historyHourlyList, sensorCode, "sum", sensorLower, sensorUpper);
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}
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allDeviceSumMap.put(yearMonthDayHour, allDeviceSum);
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//本市值
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Double cityValue = null;
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if (cityAqiMap.get(yearMonthDayHour) != null) {
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Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDayHour).toString(), Map.class);
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//判断城市aqi是否有该因子数据
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String sensorName = senorMap.get(sensorCode);
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if (sensorName != null) {
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cityValue = Double.parseDouble(dataValue.get(sensorName).toString());
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}
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}
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Map<String, Object> cityDataMap = new HashMap<>();
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//本市数据
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cityDataMap.put("value", cityValue);
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cityDataList.add(cityDataMap);
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}
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//2.本市数据结果
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resultCityDataMap.put("data", cityDataList);
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result.put("本市", resultCityDataMap);
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for (String profession : professions) {
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//每个行业数据结果集
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HashMap<String, Object> professionMap = new HashMap<>();
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List<Map<String, Object>> dataList = new ArrayList<>();
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//查询行业名称
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String professionName = null;
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Map<String, Object> dictData = (Map<String, Object>) redisTemplate.opsForValue().get(RedisConstants.DICT_DATA_KEY);
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List<SysDictData> professionInfo = (List<SysDictData>) dictData.get("profession");
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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;
|
}
|
}
|
