package com.moral.monitor.listener;
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import java.io.IOException;
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import java.io.InputStreamReader;
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import java.io.UnsupportedEncodingException;
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import java.math.BigDecimal;
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import java.text.SimpleDateFormat;
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import java.util.ArrayList;
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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 javax.annotation.Resource;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.amqp.core.Message;
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import org.springframework.amqp.core.MessageListener;
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import org.springframework.amqp.rabbit.core.RabbitTemplate;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.core.io.ClassPathResource;
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import org.springframework.data.mongodb.core.MongoTemplate;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.util.StringUtils;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONReader;
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import com.alibaba.fastjson.TypeReference;
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import com.moral.monitor.dao.JobDao;
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import com.moral.monitor.dao.TaskDao;
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import com.moral.monitor.entity.History;
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import com.moral.monitor.entity.Sensor;
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import com.moral.monitor.service.RedisService;
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import com.moral.monitor.util.RedisUtil;
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public class TaskListener implements MessageListener {
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@Resource
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RabbitTemplate rabbitTemplate;
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@Resource
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JobDao jobDao;
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@Resource
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TaskDao taskDao;
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@Resource
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RedisTemplate<String, String> redisTemplate;
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@Resource
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protected MongoTemplate mongoTemplate;
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private Logger logger = LoggerFactory.getLogger(TaskListener.class);
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@Resource
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RedisService redisService;
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@Override
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public void onMessage(Message msg) {
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String message = null;
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try {
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message = new String(msg.getBody(), "utf-8");
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} catch (UnsupportedEncodingException e) {
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logger.warn(e.getMessage());
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}
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Map<String, String> msgData = JSON.parseObject(message, new TypeReference<Map<String, String>>() {});
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String mac = msgData.get("mac");
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String ver = msgData.get("ver");
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if(StringUtils.isEmpty(ver) || StringUtils.isEmpty(mac)) {
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return;
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}
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//获取缓存中的校准值map
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Map<String, Float> adjustMap = redisService.getAdjustsByMac(mac);
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if(!adjustMap.isEmpty()) {
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for (Map.Entry<String, Float> entry : adjustMap.entrySet()) {
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String key = entry.getKey();
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if(msgData.containsKey(key)) {
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Float value = entry.getValue();
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Float dataValue = Float.valueOf(msgData.get(key)) ;
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msgData.put(key, String.valueOf(dataValue + value));
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}
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}
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}
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// System.out.println(message);
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// System.out.println(JSON.toJSONString(msgData));
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String new_message = JSON.toJSONString(msgData);
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rabbitTemplate.convertAndSend("monitors_data2", "", new_message.getBytes());
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// rabbitTemplate.send("monitors_data2", "", new Message(JSON.toJSONString(msgData).getBytes(), new MessageProperties()));
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// int state = (new Random()).nextInt(4) % 5; //TODO
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int state = detEquState(msgData);
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// rabbitTemplate.convertAndSend("monitors_alarm", "", "{\"mac\": \"" + mac + "\", \"state\": " + state + "}");
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//更新设备状态
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jobDao.updateStateByMac(mac, state);
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// //保存原始数据
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// taskDao.insertTologger(mac, message, getDate());
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mongoTemplate.insert(message, "logger");
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//保存历史记录
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List<History> histories = new ArrayList<History>();
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List<Sensor> sensorList = taskDao.selectFromsensorByver(ver);
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for (Sensor sensor : sensorList) {
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String key = sensor.getMac_key();
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if(msgData.containsKey(key)) {
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//taskDao.insertTohistory(mac, sensor.getSensor(), key, msgData.get(key));
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History history = new History();
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history.setMac(mac);
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history.setMac_key(key);
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history.setTime(new Date(Long.parseLong(msgData.get("time"))));
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history.setSensor(sensor.getSensor());
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history.setMac_value(Double.valueOf(msgData.get(key)));
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histories.add(history);
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}
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}
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jobDao.batchInsertHistory(histories);
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//mongoTemplate.insert(JSON.toJSONString(histories), "data");
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mongoTemplate.insert(new_message, "data");
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}
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//三级警报值阀值
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private static Map<String,Double[]> alarmLevles =new HashMap<String, Double[]>();
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/*
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* 设置三级警报阀值,把map数据结构转换成数组结构
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*/
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@Value(value= "system/alarmLevels.json")
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public void setAlarmLevles(String path) throws IOException {
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org.springframework.core.io.Resource resource = new ClassPathResource(path);
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InputStreamReader reader=new InputStreamReader(resource.getInputStream());
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JSONReader jsonReader = new JSONReader(reader);
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//三级警报值阀值
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Map<String,Map<String,Double>> alarmLevleMap= jsonReader.readObject(new TypeReference<Map<String,Map<String,Double>>>(){});
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//将map转换成数组
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for(String key:alarmLevleMap.keySet()) {
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Map<String,Double> levels = alarmLevleMap.get(key);
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double level1 = levels.get("level1");
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double level2 = levels.get("level2");
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double level3 = levels.get("level3");
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//当三个值都为零时，不加入阀值
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if(levels.get("enable")!=null&&levels.get("enable")==1) {
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//三级警报数组
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Double arr[] = {0.0,level1,level2,level3};
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alarmLevles.put(key, arr);
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}
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}
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}
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//根据三级警报阀值，确定设备状态
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private int detEquState(Map<String,String> data) {
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int state = 0;
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Map<String, Object> equMap = new HashMap<String, Object>();
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if(data!=null) {
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for(String key:alarmLevles.keySet()) {
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String value = data.get(key);
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if(!StringUtils.isEmpty(value)) {
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double val = Double.parseDouble(value);
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//获取三级警报阀值
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Double[] arr = alarmLevles.get(key);
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for(int index = arr.length-1;index>0;index--) {
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if(val>=arr[index]) {
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//如果当前状态级别更高就取当前状态。否则保持之前状态
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state = (index>state)?index:state;
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String e_key = "level"+Integer.toString(index);
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Object e_States = equMap.get(e_key);
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if(e_States!=null&&e_States instanceof List) {
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((List)e_States).add(key);
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}else {
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e_States = new ArrayList<String>();
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equMap.put(e_key, e_States);
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((List)e_States).add(key);
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}
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equMap.put(e_key, e_States);
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break;
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}
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}
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}
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}
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}
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equMap.put("state", state);//设备状态
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redisService.setEquState(data.get("mac"),equMap);
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return state;
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}
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}
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