package com.moral.api.service.impl;
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import com.alibaba.fastjson.JSON;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.moral.api.entity.*;
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import com.moral.api.mapper.HistorySecondUavMapper;
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import com.moral.api.pojo.dto.uav.UAVQueryTimeSlotDTO;
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import com.moral.api.pojo.form.uav.UAVQueryTimeSlotForm;
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import com.moral.api.service.HistorySecondUavService;
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import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
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import com.moral.api.service.OrganizationService;
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import com.moral.api.service.SpecialDeviceService;
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import com.moral.api.utils.UnitConvertUtils;
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import com.moral.constant.RedisConstants;
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import com.moral.util.DateUtils;
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import com.moral.util.GeodesyUtils;
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import com.moral.util.MathUtils;
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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.math.BigDecimal;
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import java.util.*;
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import java.util.concurrent.ConcurrentHashMap;
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import java.util.function.Predicate;
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/**
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* <p>
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* 无人机秒数据表 服务实现类
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* </p>
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*
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* @author moral
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* @since 2021-08-31
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*/
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@Service
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public class HistorySecondUavServiceImpl extends ServiceImpl<HistorySecondUavMapper, HistorySecondUav> implements HistorySecondUavService {
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/*
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* 筛选数据举例
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* */
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private Double filterDistance = 2d;
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@Autowired
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HistorySecondUavMapper historySecondUavMapper;
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@Autowired
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OrganizationService organizationService;
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@Autowired
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SpecialDeviceService specialDeviceService;
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@Autowired
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RedisTemplate redisTemplate;
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@Override
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public List<Date> queryDate(Integer organizationId) {
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//构造查询条件
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QueryWrapper<HistorySecondUav> queryWrapper = new QueryWrapper<>();
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//获取子组织id
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List<Organization> children = organizationService.getChildrenOrganizationsById(organizationId);
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List<Integer> childrenId = new ArrayList<>();
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for (Organization child : children) {
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childrenId.add(child.getId());
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}
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childrenId.add(organizationId);
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queryWrapper.in("organization_id", childrenId);
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//设置查询时间范围为180天
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Date endDate = new Date();
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Date startDate = DateUtils.addDays(endDate, -180);
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queryWrapper.between("batch", startDate, endDate);
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//设置查询字段
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queryWrapper.select("DISTINCT batch");
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queryWrapper.orderByDesc("batch");
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//查询结果
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List<HistorySecondUav> historySecondUavs = historySecondUavMapper.selectList(queryWrapper);
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//结果转为Date集合
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List<Date> result = new ArrayList<>();
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for (HistorySecondUav historySecondUav : historySecondUavs) {
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result.add(historySecondUav.getBatch());
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}
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return result;
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}
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@Override
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public List<UAVQueryTimeSlotDTO> queryTimeSlot(UAVQueryTimeSlotForm form) {
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//取参
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Integer organizationId = form.getOrganizationId();
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Date startDate = form.getStartDate();
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Date endDate = form.getEndDate();
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QueryWrapper<HistorySecondUav> wrapper = new QueryWrapper<>();
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//获取子组织id
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List<Organization> children = organizationService.getChildrenOrganizationsById(organizationId);
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List<Integer> childrenId = new ArrayList<>();
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for (Organization child : children) {
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childrenId.add(child.getId());
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}
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childrenId.add(organizationId);
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wrapper.in("organization_id", childrenId);
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//查询根据batch查，因为可能会有跨天飞行的情况。
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wrapper.between("batch", startDate, endDate);
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//设置查询字段
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wrapper.select("mac,time,batch");
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//查询结果
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List<HistorySecondUav> historySecondUavs = historySecondUavMapper.selectList(wrapper);
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//根据batch进行分批
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Map<String, List<HistorySecondUav>> batchMap = new LinkedHashMap<>();//key为batch的string
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for (HistorySecondUav historySecondUav : historySecondUavs) {
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//获取batch对应的数据集合
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List<HistorySecondUav> list = batchMap.get(DateUtils.dateToDateString(historySecondUav.getBatch(), "yyyy-MM-dd HH:mm:ss"));
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if (list != null) {
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list.add(historySecondUav);
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} else {
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ArrayList<HistorySecondUav> newList = new ArrayList<>();
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newList.add(historySecondUav);
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batchMap.put(DateUtils.dateToDateString(historySecondUav.getBatch(), "yyyy-MM-dd HH:mm:ss"), newList);
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}
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}
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//去除少于30条数据的集合
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batchMap.values().removeIf(new Predicate<List<HistorySecondUav>>() {
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@Override
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public boolean test(List<HistorySecondUav> historySecondUavs) {
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if (historySecondUavs.size() <= 30)
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return true;
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return false;
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}
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});
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//根据mac进行分类
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Map<String, List<Map<String, List<HistorySecondUav>>>> macBatchMap = new LinkedHashMap<>();//key为mac
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//遍历batchMap将mac提取出来，作为macBatchMap的key，batch和数据map的数据集合放入value
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batchMap.forEach((key, value) -> {
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String mac = value.get(0).getMac();
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List<Map<String, List<HistorySecondUav>>> maps = macBatchMap.get(mac);
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if (maps != null) {
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Map<String, List<HistorySecondUav>> map = new LinkedHashMap<>();
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map.put(key, value);
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maps.add(map);
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} else {
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List<Map<String, List<HistorySecondUav>>> list = new ArrayList<>();
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Map<String, List<HistorySecondUav>> map = new LinkedHashMap<>();
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map.put(key, value);
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list.add(map);
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macBatchMap.put(value.get(0).getMac(), list);
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}
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});
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//封装返回数据
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List<UAVQueryTimeSlotDTO> dtos = new ArrayList<>();
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macBatchMap.forEach((key, value) -> {
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UAVQueryTimeSlotDTO dto = new UAVQueryTimeSlotDTO();
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List<Map<String, Object>> timeSlots = new ArrayList<>();
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dto.setMac(key);
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//根据mac查询设备名称
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SpecialDevice specialDevice = specialDeviceService.getSpecialDeviceMapByMac(key);
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//如果设备不存在则退出循环
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if (specialDevice == null)
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return;
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dto.setName(specialDevice.getName());
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//获取时间段与batch
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value.forEach(listValue -> {
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listValue.forEach((mKey, mValue) -> {
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Date slotStartDate = mValue.get(0).getTime();
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Date slotEndDate = mValue.get(mValue.size() - 1).getTime();
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Map<String, Object> dateMap = new HashMap<>();
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dateMap.put("startTime", slotStartDate);
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dateMap.put("endTime", slotEndDate);
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dateMap.put("batch", mKey);
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dateMap.put("total",mValue.size());
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timeSlots.add(dateMap);
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});
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});
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dto.setTimeSlot(timeSlots);
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dtos.add(dto);
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});
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return dtos;
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}
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@Override
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public List<HistorySecondUav> queryDataByBatch(String batch) {
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//batch转换类型
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Date batchDate = DateUtils.getDate(batch, "yyyy-MM-dd HH:mm:ss");
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//查询数据
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QueryWrapper<HistorySecondUav> wrapper = new QueryWrapper<>();
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wrapper.eq("batch", batchDate);
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wrapper.select("value,mac,time");
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List<HistorySecondUav> datas = historySecondUavMapper.selectList(wrapper);
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//获取无人机飞行高度最低值
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Double lowestHeight = 0d;
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for (HistorySecondUav data : datas) {
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String value = data.getValue();
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Map<String, Object> valueMap = JSON.parseObject(value, Map.class);
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//判断value里面有没有高度
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if (!valueMap.containsKey("flyhig")|| !valueMap.containsKey("flylat")|| !valueMap.containsKey("flylon")){
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continue;
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}
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//获取高度
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Double height = Double.valueOf((String) valueMap.get("flyhig"));
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if (height < lowestHeight)
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lowestHeight = height;
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}
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//获取最低点后，无人机所有飞行高度以最低点作为0点，所以无人机所有的高度全部加上最低点的绝对值。
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lowestHeight = Math.abs(lowestHeight);
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for (HistorySecondUav data : datas) {
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String value = data.getValue();
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Map<String, Object> valueMap = JSON.parseObject(value, Map.class);
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//判断value里面有没有高度
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if (!valueMap.containsKey("flyhig")|| !valueMap.containsKey("flylat")|| !valueMap.containsKey("flylon")){
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continue;
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}
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//获取高度
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Double height = Double.valueOf((String) valueMap.get("flyhig"));
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//加上最低点绝对值
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height = MathUtils.add(height, lowestHeight);
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//重新封装数据
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valueMap.put("flyhig", height);
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String newValue = JSON.toJSONString(valueMap);
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data.setValue(newValue);
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}
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//筛选无人机数据,保持每个点之间的距离在2米以上
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datas = filterDatas(datas);
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if (datas.size()<2){
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return null;
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}
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//转换单位
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unitConvert(datas);
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return datas;
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}
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/**
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* @Description: 过滤数据
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* @Param: [datas]
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* @return: java.util.List<com.moral.api.entity.HistorySecondUav>
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* @Author: 陈凯裕
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* @Date: 2021/9/16
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*/
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private List<HistorySecondUav> filterDatas(List<HistorySecondUav> datas) {
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//创建返回结果
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List<HistorySecondUav> result = new ArrayList<>();
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//把第一个数据暂时作为对比数据
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HistorySecondUav tempData = datas.get(0);
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result.add(tempData);
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datas.remove(0);
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for (HistorySecondUav data : datas) {
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Double distance = getDistance(tempData, data);
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if (distance==null){
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continue;
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}
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if (distance > filterDistance) {
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result.add(data);
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tempData = data;
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}
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}
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return result;
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}
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/**
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* @Description: 获取两个数据之间的距离
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* @Param: [uav1, uav2]
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* @return: java.lang.Double
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* @Author: 陈凯裕
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* @Date: 2021/9/13
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*/
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private Double getDistance(HistorySecondUav uav1, HistorySecondUav uav2) {
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String value1 = uav1.getValue();
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String value2 = uav2.getValue();
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Map<String, Object> value1Map = JSON.parseObject(value1, Map.class);
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Map<String, Object> value2Map = JSON.parseObject(value2, Map.class);
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//判断这两个数据里面有没有经纬度
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if (!value1Map.containsKey("flylon")||!value1Map.containsKey("flylat")||!value1Map.containsKey("flyhig")||
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!value2Map.containsKey("flylon")||!value2Map.containsKey("flylat")||!value2Map.containsKey("flyhig")){
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return null;
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}
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//获取数据1的经纬度和高度
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Double longtitude1 = Double.valueOf((String) value1Map.get("flylon"));
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Double latitude1 = Double.valueOf((String) value1Map.get("flylat"));
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BigDecimal c1 = (BigDecimal) value1Map.get("flyhig");
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double height1 = c1.doubleValue();
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//获取数据2的经纬度和高度
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Double longtitude2 = Double.valueOf((String) value2Map.get("flylon"));
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Double latitude2 = Double.valueOf((String) value2Map.get("flylat"));
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BigDecimal c2 = (BigDecimal) value2Map.get("flyhig");
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double height2 = c2.doubleValue();
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//计算经纬度之间的平面距离
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Double planDistance = GeodesyUtils.getDistance(latitude1, longtitude1, latitude2, longtitude2);
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//根据直角三角形特性用勾股定理计算空间距离
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Double heightDsitance = Math.abs(MathUtils.sub(height2, height1));
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Double Distance = Math.sqrt(MathUtils.mul(planDistance, planDistance) + MathUtils.mul(heightDsitance, heightDsitance));
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return Distance;
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}
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/**
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* @Description: 数据单位转换以及拼接
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* @Param: [datas]
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* @return: java.util.List<com.moral.api.entity.HistorySecondUav>
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* @Author: 陈凯裕
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* @Date: 2021/9/16
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*/
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private void unitConvert(List<HistorySecondUav> datas) {
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//获取转换公式
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List<UnitConversion> unitConversions = redisTemplate.opsForList().range(RedisConstants.UNIT_CONVERSION, 0, -1);
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//获取无人机基本数据
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SpecialDevice specialDevice = (SpecialDevice) redisTemplate.opsForHash().get(RedisConstants.SPECIAL_DEVICE_INFO, datas.get(0).getMac());
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//获取无人机型号所有的因子信息
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List<Sensor> sensors = specialDevice.getVersion().getSensors();
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Map<String, Sensor> sensorsMap = new HashMap<>();
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sensors.forEach(value -> sensorsMap.put(value.getCode(), value));
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//转换单位并且拼接单位
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for (HistorySecondUav data : datas) {
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String valueStr = data.getValue();
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ConcurrentHashMap<String, Object> valueMap = JSON.parseObject(valueStr, ConcurrentHashMap.class);
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Set<Map.Entry<String, Object>> entries = valueMap.entrySet();
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Iterator<Map.Entry<String, Object>> iterator = entries.iterator();
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//遍历单个数据的所有因子
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while(iterator.hasNext()){
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Map.Entry<String, Object> entry = iterator.next();
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String code = entry.getKey();
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String value = String.valueOf(entry.getValue());
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Sensor sensor = sensorsMap.get(code);
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if (sensor == null) {//如果型号中没有该因子则移除
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valueMap.remove(code);
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continue;
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}
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String unit = sensor.getUnit();
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String unitKey = sensor.getUnitKey();
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String showUnit = sensor.getShowUnit();
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String showUnitKey = sensor.getShowUnitKey();
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//如果源单位和显示单位相同则直接拼接单位
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if (showUnitKey.equals(unitKey)) {
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value += " " + unit;
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} else {
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String formula = sensor.getFormula();
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//如果sensor中的公式为空则从缓存中获取公式
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if (ObjectUtils.isEmpty(formula)) {
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for (UnitConversion unitConversion : unitConversions) {
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if (unitConversion.getOriginalUnitKey().equals(unitKey) && unitConversion.getTargetUnitKey().equals(showUnitKey))
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formula = unitConversion.getFormula();
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}
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}
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//计算转换单位后的数据
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String resultValue = UnitConvertUtils.calculate((String) value, formula);
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if (resultValue != null) {
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resultValue += showUnit;
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} else {//如果转换出的数据为null，则代表缓存中也没有公式，依然使用源单位。
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resultValue = value + unit;
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}
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value = resultValue;
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}
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//重新放入转换后的数据
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valueMap.put(code, value);
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}
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String value = JSON.toJSONString(valueMap);
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data.setValue(value);
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}
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}
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}
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