package com.moral.monitor.service.impl;
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import java.util.ArrayList;
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import java.util.Calendar;
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import java.util.Collections;
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import java.util.Date;
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import java.util.HashMap;
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import java.util.LinkedHashMap;
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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 org.apache.commons.collections.CollectionUtils;
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import org.apache.commons.collections.MapUtils;
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import org.apache.commons.lang.StringUtils;
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import org.apache.commons.lang.time.DateUtils;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import com.alibaba.fastjson.JSON;
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import com.moral.monitor.dao.AccountEntityMapper;
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import com.moral.monitor.dao.HistoryEntityMapper;
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import com.moral.monitor.entity.AccountEntity;
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import com.moral.monitor.entity.AccountEntityExample;
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import com.moral.monitor.service.OrganizationService;
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import com.moral.monitor.service.ScreenService;
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import com.moral.monitor.util.ResourceUtil;
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@Service
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public class ScreenServiceImpl implements ScreenService {
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@Autowired
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private AccountEntityMapper accountMapper;
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@Autowired
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private HistoryEntityMapper historyMapper;
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@Autowired
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private OrganizationService organizationService;
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public List<AccountEntity> getAccountLists(String account, String password) {
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AccountEntityExample example = new AccountEntityExample();
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example.or().andAccountEqualTo(account).andPasswordEqualTo(password);
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return accountMapper.selectByExample(example);
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}
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@SuppressWarnings("deprecation")
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public Map<String, Object> getMonthDataByEquipment(Map<String, Object> parameters) {
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Map<String, Object> resultMap = new HashMap<String, Object>();
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Date date = new Date();
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/** 临时代码 以保证查询有数据 **/
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date.setMonth(6);
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int day = date.getDate();
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if (day < 13) {
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day = 31 - day;
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}else if (day < 19) {
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day += 10;
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}else if (day > 29) {
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day -= 10;
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}
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date.setDate(day);
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/** 临时代码 结束 **/
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parameters.put("end", DateUtils.truncate(date, Calendar.DATE));
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//每月一日的数据取上月的数据
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/*if (1 == Calendar.getInstance().get(Calendar.DAY_OF_MONTH)) {
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date = DateUtils.setMonths(date, -1);
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parameters.put("end", DateUtils.ceiling(date, Calendar.MONTH));
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}*/
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parameters.put("start", DateUtils.truncate(date, Calendar.MONTH));
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parameters.put("mac", "898602b8191630065884");
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parameters.put("macKey", "e1");
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Map<String, Object> average = historyMapper.getMonthAverageBySensor(parameters);
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// 本月平均值
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if (MapUtils.isNotEmpty(average)) {
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resultMap.putAll(average);
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} else {
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resultMap.put("average", 0);
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}
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//AQI 指数
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String[] macKeys = { "e1", "e2", "e10", "e11", "e15", "e16" };
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String[] IAQIValues = ResourceUtil.getArrValue("IAQI");
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List<Double> IAQIs = new ArrayList<Double>();
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for (String macKey : macKeys) {
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double avg = 0, maxMacKey = 0, minMacKey = 0;
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parameters.put("macKey", macKey);
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parameters.put("start", DateUtils.truncate(DateUtils.addDays(date, -1), Calendar.DATE));
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average = historyMapper.getMonthAverageBySensor(parameters);
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if (MapUtils.isNotEmpty(average)) {
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avg = (Double) average.get("average");
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}
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String[] macKeyValues = ResourceUtil.getArrValue(macKey);
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int index = -1;
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for (int i = 0; i < macKeyValues.length; i++) {
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if (avg <= Double.valueOf(macKeyValues[i])) {
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if (i == 0) {
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index = i;
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} else {
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index = i - 1;
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}
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minMacKey = Double.valueOf(macKeyValues[index]);
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maxMacKey = Double.valueOf(macKeyValues[index + 1]);
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continue;
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}
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}
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if (index == -1) {
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resultMap.put("AQI", ">500");
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break;
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}
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double minIAQI = Double.valueOf(IAQIValues[index]);
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double maxIAQI = Double.valueOf(IAQIValues[index + 1]);
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IAQIs.add(calculateIAQI(maxIAQI, minIAQI, maxMacKey, minMacKey, avg));
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}
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if (!resultMap.containsKey("AQI")) {
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resultMap.put("AQI", Collections.max(IAQIs));
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}
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//实际标准值
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String standard = ResourceUtil.getValue(parameters.get("macKey")+"-standard");
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if (StringUtils.isBlank(standard)) {
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standard = "50";
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}
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resultMap.put("standard", standard);
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return resultMap;
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}
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@SuppressWarnings("deprecation")
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public Map<String, Object> getAverageByAll(Map<String, Object> parameters) {
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Map<String, Object> result = new LinkedHashMap<String, Object>();
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setOrgIdsByAccount(parameters);
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Date date = new Date();
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/** 临时代码 以保证查询有数据 **/
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date.setMonth(6);
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int day = date.getDate();
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if (day < 19 || day > 29) {
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day = (int) Math.floor(Math.random() * (29 - 19 + 1) + 19);
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date.setDate(day);
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}
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/** 临时代码 结束 **/
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parameters.put("start", DateUtils.addMinutes(date, -10));
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parameters.put("end", DateUtils.addMinutes(date, -5));
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List<Map<String, Object>> averageByAll = historyMapper.getAverageByAll(parameters);
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//临时方案，空值处理
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if (CollectionUtils.isEmpty(averageByAll)) {
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String macLog = historyMapper.getMacLogByLast();
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if(StringUtils.isNotBlank(macLog)){
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Map<String, Object> map = JSON.parseObject(macLog);
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for (String key : map.keySet()) {
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if (key.startsWith("e")) {
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result.put(key, map.get(key));
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}
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}
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}
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}
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for (Map<String, Object> map : averageByAll) {
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result.put((String) map.get("mac_key"), map.get("avg"));
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}
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return result;
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}
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@Override
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public Map<String, Object> getEquipmentStates(Map<String, Object> parameters) {
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Map<String, Object> result = new HashMap<String, Object>();
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setOrgIdsByAccount(parameters);
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List<Map<String, Object>> list = historyMapper.getEquipmentStates(parameters);
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Long all = 0L, normal = 0L, abnormal = 0L, stop = 0L;
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for (Map<String, Object> map : list) {
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Long count = (Long) map.get("count");
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all += count;
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switch ((Integer) map.get("state")) {
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case 0:
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normal = count;
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break;
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case 4:
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stop = count;
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break;
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default:
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abnormal += count;
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}
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}
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result.put("all", all);
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result.put("normal", normal);
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result.put("abnormal", abnormal);
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result.put("stop", stop);
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return result;
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}
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public void setOrgIdsByAccount(Map<String, Object> parameters) {
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AccountEntity account = accountMapper.selectByPrimaryKey((Integer.valueOf((String) parameters.get("accountId"))));
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if (null == account) {
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return;
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}
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String organization = account.getOrganization();
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//不是摩瑞尔账号的需要根据组织来获取数据权限
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if (!("-1".equals(organization) || ResourceUtil.getValue("orgId").equals(organization))) {
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Set<String> orgIds = organizationService.getChildOrganizationIds(account.getOrganization());
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parameters.put("orgIds", orgIds);
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}
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}
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private double calculateIAQI(double maxIAQI, double minIAQI, double maxMacKey, double minMacKey,double avg) {
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return (maxIAQI - minIAQI) * (avg - minMacKey) / (maxMacKey - minMacKey) + minIAQI;
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}
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}
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