package com.moral.api.util; import lombok.extern.slf4j.Slf4j; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.stereotype.Component; import org.springframework.util.ObjectUtils; import java.util.Date; import java.util.HashMap; import java.util.List; import java.util.Map; import com.alibaba.fastjson.JSON; import com.googlecode.aviator.AviatorEvaluator; import com.googlecode.aviator.Expression; import com.moral.api.entity.DeviceAdjustValue; import com.moral.api.service.DeviceService; import com.moral.constant.RedisConstants; import com.moral.util.DateUtils; @Slf4j @Component public class AdjustDataUtils { @Autowired private DeviceService deviceService; @Autowired private RedisTemplate redisTemplate; public Map adjust(Map deviceData) { try { Object dataTime = deviceData.get("DataTime"); String mac = deviceData.get("mac").toString(); //清除毫秒,四舍五入 long time = Math.round(new Double((String) dataTime) / 1000) * 1000L; long finalTime = DateUtils.dataToTimeStampTime(new Date(time), DateUtils.HH_mm_ss_EN).getTime(); //设备信息 Map deviceInfo = deviceService.getDeviceByMac(mac); Map monitorPoint = (Map) deviceInfo.get("monitorPoint"); Object areaCode = monitorPoint.get("areaCode"); Object cityCode = monitorPoint.get("cityCode"); for (String key : deviceData.keySet()) { if (!key.equals("mac") && !key.equals("time") && !key.equals("DataTime") && !key.equals("ver") && !key.contains("Flag")) { //测量值 Object measuredValue = deviceData.get(key); List adjustValues = (List) redisTemplate.opsForHash().get(RedisConstants.ADJUST + "_" + mac, key); if (ObjectUtils.isEmpty(adjustValues)) { deviceData.put(key, measuredValue); continue; } //根据时间段筛选校准公式 DeviceAdjustValue deviceAdjustValue = adjustValues.stream() .filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime) .findFirst().get(); String adjustValue = deviceAdjustValue.getValue(); if (ObjectUtils.isEmpty(adjustValue)) { deviceData.put(key, measuredValue); continue; } Expression expression = AviatorEvaluator.compile(adjustValue); Map env = new HashMap<>(); if (adjustValue.contains("aqi")) { Object aqiValue = redisTemplate.opsForHash().get("aqi_" + areaCode, key); if (ObjectUtils.isEmpty(aqiValue)) { aqiValue = redisTemplate.opsForHash().get("aqi_" + cityCode, key); } env.put("aqi", ObjectUtils.isEmpty(aqiValue) ? 0F : Float.parseFloat((String) aqiValue)); } if (adjustValue.contains("vocs")) { Object vocsValue = ObjectUtils.isEmpty(deviceData.get("a99054")) ? 0F : deviceData.get("a99054"); env.put("vocs", vocsValue); } if (adjustValue.contains("cel")) { env.put("cel", Float.parseFloat((String) measuredValue)); } //校准 measuredValue = expression.execute(env); //温度处理 if (Float.parseFloat(measuredValue.toString()) < 0 && !"a01001".equals(measuredValue)) { measuredValue = 0F; } deviceData.put(key, Double.parseDouble(String.format("%.3f", measuredValue))); } } } catch (Exception e) { log.error("param[0] deviceData:" + JSON.toJSONString(deviceData)); log.error(e.getMessage()); } return deviceData; } }