Merge branch 'dev' of http://blit.7drlb.com:8888/r/moral into wb_21

jinpengyong

2023-08-23 8c741905bff160816524a54df00a4acca684b770

 screen-api/src/main/java/com/moral/api/utils/AdjustDataUtils.java

@@ -1,11 +1,7 @@
package com.moral.api.utils;

import com.alibaba.fastjson.JSON;
import com.googlecode.aviator.AviatorEvaluator;
import com.googlecode.aviator.Expression;
import com.moral.api.entity.DeviceAdjustValue;
import com.moral.constant.Constants;
import com.moral.util.DateUtils;
import com.alibaba.fastjson.JSONObject;
import com.moral.constant.SensorContrasts;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import org.springframework.util.ObjectUtils;
@@ -13,24 +9,48 @@

import java.util.Date;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Set;

import com.alibaba.fastjson.JSON;
import com.googlecode.aviator.AviatorEvaluator;
import com.googlecode.aviator.Expression;
import com.moral.api.entity.DeviceAdjustValue;
import com.moral.constant.Constants;
import com.moral.util.DateUtils;

@Slf4j
@Component
public class AdjustDataUtils {
    /**
     * @param deviceData 设备数据
     * @param adjustFormula 校准公式
     * @param aqiMap 设备所在地区对应的墨迹aqi数据
     * @param deviceData    设备数据
     * @param adjustFormula 校准公式，包含所有因子校准公式，key为因子code,value为校准公式（各个时间段的公式List）
     * @param aqiMap        与设备绑定的国控站点aqi数据
     * @return Map<String, Object> 校准后数据
     * */
    public Map<String, Object> adjust(Map<String, Object> deviceData, Map<String, Object> adjustFormula, Map<String, Object> aqiMap) {
     */
    public static Map<String, Object> adjust(Map<String, Object> deviceData, Map<String, Object> adjustFormula, Map<String, Object> aqiMap) {
        try {
            Date time = DateUtils.getDate((String) deviceData.get("DataTime"), DateUtils.yyyyMMddHHmmss_EN);
            Date time = DateUtils.getDate((String) deviceData.remove("DataTime"), DateUtils.yyyyMMddHHmmss_EN);
            long finalTime = DateUtils.dataToTimeStampTime(time, DateUtils.HH_mm_ss_EN).getTime();

            //先校准烟气流速，再用流速校准烟气流量
            if (deviceData.get(Constants.SENSOR_CODE_CURRENT_SPEED) != null) {
                deviceData = adjustFlueSpeedAndFlow(deviceData, adjustFormula);
            }

            //硬件没有的传感器，但是需要显示的
            Set<String> dateKey = deviceData.keySet();
            for (String adjustKey : adjustFormula.keySet()) {
                if (!dateKey.contains(adjustKey)) {
                    deviceData.put(adjustKey, "0");
                }
            }

            for (String key : deviceData.keySet()) {
                if (!key.equals("mac") && !key.equals("time") && !key.equals("DataTime") && !key.equals("ver") && !key.contains("Flag")) {
                if (!key.contains("Flag")) {
                    //测量值
                    Object measuredValue = deviceData.get(key);
                    //单个因子校准公式
@@ -39,11 +59,14 @@
                        deviceData.put(key, measuredValue);
                        continue;
                    }

                    //根据时间段筛选校准公式
                    DeviceAdjustValue deviceAdjustValue = sensorFormulas.stream()
                    DeviceAdjustValue deviceAdjustValue = new DeviceAdjustValue();
                    Optional<DeviceAdjustValue> optional = sensorFormulas.stream()
                            .filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime)
                            .findFirst().get();
                            .findFirst();
                    if (optional.isPresent()) {
                        deviceAdjustValue = optional.get();
                    }
                    String formula = deviceAdjustValue.getValue();
                    if (StringUtils.isEmpty(formula)) {
                        deviceData.put(key, measuredValue);
@@ -55,9 +78,14 @@
                    if (formula.contains("aqi")) {
                        Object aqiValue = null;
                        if (aqiMap != null) {
                            //String jsonStr = JsonUtil.readJsonFile("classpath:SensorContrast.json");
//                           String jsonStr = JsonUtil.testReadFile("SensorContrast.json");
//                            JSONObject result = JSONObject.parseObject(jsonStr);
//                            aqiValue = aqiMap.get(result.get(key));
//                            aqiValue = aqiMap.get(SensorContrasts.sensorContrastMap.get(key));
                            aqiValue = aqiMap.get(key);
                        }
                        env.put("aqi", ObjectUtils.isEmpty(aqiValue) ? 0F : Float.parseFloat((String) aqiValue));
                        env.put("aqi", ObjectUtils.isEmpty(aqiValue) ? 0F : Float.parseFloat(String.valueOf(aqiValue)));
                    }
                    if (formula.contains("vocs")) {
                        Object vocsValue = ObjectUtils.isEmpty(deviceData.get(Constants.SENSOR_CODE_VOCS)) ? 0F : deviceData.get(Constants.SENSOR_CODE_VOCS);
@@ -77,7 +105,65 @@
            }
        } catch (Exception e) {
            log.error("param[0] deviceData:" + JSON.toJSONString(deviceData));
            log.error(e.getMessage());
        }
        return deviceData;
    }

    /**
     * 烟道流速，烟道流量校准
     *
     * @param deviceData    数据，其中包含各传感器值，和数据时间（用于不同时间段不同校准公式校准）
     * @param adjustFormula 该数据所属设备所有因子的校准公式，key为因子code
     */
    public static Map<String, Object> adjustFlueSpeedAndFlow(Map<String, Object> deviceData, Map<String, Object> adjustFormula) {
        Date time = DateUtils.getDate((String) deviceData.remove("DataTime"), DateUtils.yyyyMMddHHmmss_EN);
        long finalTime = DateUtils.dataToTimeStampTime(time, DateUtils.HH_mm_ss_EN).getTime();
        //流速测量值
        Object measuredValue = deviceData.get(Constants.SENSOR_CODE_CURRENT_SPEED);


        //流速校准
        List<DeviceAdjustValue> speedFormulas = (List<DeviceAdjustValue>) adjustFormula.get(Constants.SENSOR_CODE_CURRENT_SPEED);
        if (!ObjectUtils.isEmpty(speedFormulas)) {
            //根据时间段筛选校准公式
            DeviceAdjustValue deviceAdjustValue = new DeviceAdjustValue();
            Optional<DeviceAdjustValue> optional = speedFormulas.stream()
                    .filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime)
                    .findFirst();
            if (optional.isPresent()) {
                deviceAdjustValue = optional.get();
            }

            String formula = deviceAdjustValue.getValue();
            if (!StringUtils.isEmpty(formula)) {

                Expression expression = AviatorEvaluator.compile(formula);
                Map<String, Object> env = new HashMap<>();
                env.put("cel", Float.parseFloat((String) measuredValue));
                //校准
                measuredValue = expression.execute(env);
                deviceData.put(Constants.SENSOR_CODE_CURRENT_SPEED, Double.parseDouble(String.format("%.4f", measuredValue)));
            }


            //流量校准
            List<DeviceAdjustValue> flowFormulas = (List<DeviceAdjustValue>) adjustFormula.get(Constants.SENSOR_CODE_CURRENT_FLOW);
            //根据时间段筛选校准公式
            optional = flowFormulas.stream()
                    .filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime)
                    .findFirst();
            if (optional.isPresent()) {
                deviceAdjustValue = optional.get();
            }

            formula = deviceAdjustValue.getValue();
            if (!StringUtils.isEmpty(formula)) {
                Expression expression = AviatorEvaluator.compile(formula);
                Map<String, Object> env = new HashMap<>();
                String currentSpeed = deviceData.get(Constants.SENSOR_CODE_CURRENT_SPEED).toString();
                env.put("currentSpeed", Float.parseFloat(currentSpeed));
                deviceData.put(Constants.SENSOR_CODE_CURRENT_FLOW, Double.parseDouble(String.format("%.4f", expression.execute(env))));
            }
        }
        return deviceData;
    }