package com.moral.api.util;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.stereotype.Component;
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import org.springframework.util.ObjectUtils;
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import org.springframework.util.StringUtils;
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import java.math.BigDecimal;
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import java.util.Date;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.Optional;
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import java.util.Set;
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import com.alibaba.fastjson.JSON;
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import com.googlecode.aviator.AviatorEvaluator;
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import com.googlecode.aviator.Expression;
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import com.moral.api.entity.DeviceAdjustValue;
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import com.moral.constant.Constants;
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import com.moral.util.DateUtils;
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@Slf4j
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@Component
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public class AdjustDataUtils {
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/**
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* @param deviceData 设备数据
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* @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）
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* @param aqiMap 与设备绑定的国控站点aqi数据
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* @return Map<String, Object> 校准后数据
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*/
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public Map<String, Object> adjust(Map<String, Object> deviceData, Map<String, Object> adjustFormula, Map<String, Object> aqiMap) {
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try {
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Date time = DateUtils.getDate((String) deviceData.remove("DataTime"), DateUtils.yyyyMMddHHmmss_EN);
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long finalTime = DateUtils.dataToTimeStampTime(time, DateUtils.HH_mm_ss_EN).getTime();
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//先校准烟气流速，再用流速校准烟气流量
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if (deviceData.get(Constants.SENSOR_CODE_CURRENT_SPEED) != null) {
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deviceData = adjustFlueSpeedAndFlow(deviceData, adjustFormula);
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}
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//硬件没有的传感器，但是需要显示的
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Set<String> dateKey = deviceData.keySet();
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for (String adjustKey : adjustFormula.keySet()) {
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if (!dateKey.contains(adjustKey)) {
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deviceData.put(adjustKey, "0");
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}
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}
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for (String key : deviceData.keySet()) {
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if (!key.contains("Flag")) {
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//测量值
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Object measuredValue = deviceData.get(key);
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//单个因子校准公式
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List<DeviceAdjustValue> sensorFormulas = (List<DeviceAdjustValue>) adjustFormula.get(key);
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if (ObjectUtils.isEmpty(sensorFormulas)) {
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deviceData.put(key, measuredValue);
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continue;
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}
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//根据时间段筛选校准公式
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DeviceAdjustValue deviceAdjustValue = new DeviceAdjustValue();
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Optional<DeviceAdjustValue> optional = sensorFormulas.stream()
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.filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime)
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.findFirst();
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if (optional.isPresent()) {
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deviceAdjustValue = optional.get();
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}
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String formula = deviceAdjustValue.getValue();
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if (StringUtils.isEmpty(formula)) {
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deviceData.put(key, measuredValue);
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continue;
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}
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Expression expression = AviatorEvaluator.compile(formula);
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Map<String, Object> env = new HashMap<>();
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if (formula.contains("aqi")) {
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Object aqiValue = null;
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if (aqiMap != null) {
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aqiValue = aqiMap.get(key);
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}
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env.put("aqi", ObjectUtils.isEmpty(aqiValue) ? 0F : new BigDecimal(String.valueOf(aqiValue)).floatValue());
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}
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if (formula.contains("vocs")) {
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Object vocsValue = ObjectUtils.isEmpty(deviceData.get(Constants.SENSOR_CODE_VOCS)) ? 0F : deviceData.get(Constants.SENSOR_CODE_VOCS);
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env.put("vocs", vocsValue);
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}
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if (formula.contains("cel")) {
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//env.put("cel", Float.parseFloat((String) measuredValue));
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env.put("cel", new BigDecimal(String.valueOf(measuredValue)).floatValue());
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}
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//校准
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measuredValue = expression.execute(env);
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//温度处理
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if (!Constants.SENSOR_CODE_TEMP.equals(measuredValue) && Float.parseFloat(measuredValue.toString()) < 0) {
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measuredValue = 0F;
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}
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deviceData.put(key, Double.parseDouble(String.format("%.4f", measuredValue)));
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}
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}
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} catch (Exception e) {
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log.error("param[0] deviceData:" + JSON.toJSONString(deviceData));
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}
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return deviceData;
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}
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/**
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* 烟道流速，烟道流量校准
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*
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* @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）
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* @param adjustFormula 该数据所属设备所有因子的校准公式，key为因子code
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*/
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public Map<String, Object> adjustFlueSpeedAndFlow(Map<String, Object> deviceData, Map<String, Object> adjustFormula) {
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Date time = DateUtils.getDate((String) deviceData.remove("DataTime"), DateUtils.yyyyMMddHHmmss_EN);
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long finalTime = DateUtils.dataToTimeStampTime(time, DateUtils.HH_mm_ss_EN).getTime();
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//流速测量值
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Object measuredValue = deviceData.get(Constants.SENSOR_CODE_CURRENT_SPEED);
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//流速校准
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List<DeviceAdjustValue> speedFormulas = (List<DeviceAdjustValue>) adjustFormula.get(Constants.SENSOR_CODE_CURRENT_SPEED);
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if (!ObjectUtils.isEmpty(speedFormulas)) {
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//根据时间段筛选校准公式
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DeviceAdjustValue deviceAdjustValue = new DeviceAdjustValue();
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Optional<DeviceAdjustValue> optional = speedFormulas.stream()
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.filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime)
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.findFirst();
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if (optional.isPresent()) {
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deviceAdjustValue = optional.get();
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}
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String formula = deviceAdjustValue.getValue();
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if (!StringUtils.isEmpty(formula)) {
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Expression expression = AviatorEvaluator.compile(formula);
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Map<String, Object> env = new HashMap<>();
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env.put("cel", Float.parseFloat((String) measuredValue));
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//校准
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measuredValue = expression.execute(env);
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deviceData.put(Constants.SENSOR_CODE_CURRENT_SPEED, Double.parseDouble(String.format("%.4f", measuredValue)));
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}
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//流量校准
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List<DeviceAdjustValue> flowFormulas = (List<DeviceAdjustValue>) adjustFormula.get(Constants.SENSOR_CODE_CURRENT_FLOW);
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//根据时间段筛选校准公式
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optional = flowFormulas.stream()
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.filter(o -> o.getStartTime().getTime() <= finalTime && o.getEndTime().getTime() > finalTime)
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.findFirst();
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if (optional.isPresent()) {
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deviceAdjustValue = optional.get();
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}
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formula = deviceAdjustValue.getValue();
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if (!StringUtils.isEmpty(formula)) {
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Expression expression = AviatorEvaluator.compile(formula);
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Map<String, Object> env = new HashMap<>();
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String currentSpeed = deviceData.get(Constants.SENSOR_CODE_CURRENT_SPEED).toString();
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env.put("currentSpeed", Float.parseFloat(currentSpeed));
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deviceData.put(Constants.SENSOR_CODE_CURRENT_FLOW, Double.parseDouble(String.format("%.4f", expression.execute(env))));
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}
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}
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return deviceData;
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}
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}
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