package com.qianwen.mdc.collect.service;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Set;
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import org.apache.commons.lang3.StringUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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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.JSONArray;
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import com.alibaba.fastjson.JSONObject;
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import com.qianwen.mdc.collect.domain.TelemetryData;
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import com.qianwen.mdc.collect.domain.TelemetryDataItem;
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import com.qianwen.mdc.collect.utils.redis.RedisUtil;
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import com.qianwen.mdc.collect.vo.WorkstationDatapointsVO;
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@Service
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public class IOTMqttReceiveService {
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private static final Logger log = LoggerFactory.getLogger(IOTMqttReceiveService.class);
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@Autowired
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private CollectDataService collectDataService;
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@Autowired
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private PackedDataService packedDataService;
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@Autowired
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private RedisUtil redisUtil;
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@Autowired
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private WorkstationDatapointsService dpService;
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/**
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* 处理收到的消息,对应TelemetryDataPostingConsumer
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* @param payload
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*/
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public void handle(String payload) {
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//解析消息
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List<TelemetryData> teleList = parsePayload(payload);
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collectDataService.handleCollectData(teleList);
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packedDataService.handle(teleList);
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}
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/**
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* 解析消息体字符串未列表，每个列表项是一个工位的数据
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* @param payload
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* @return
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*/
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List<TelemetryData> parsePayload(String payload){
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List<TelemetryData> dtList = new ArrayList<TelemetryData> ();
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//多条 数据格式：{"174":[{"values":{"output":11},"ts":"1722478128278"},{"values":{"spindleSpeed":22},"ts":"1722478128281"}]} 174是应用id
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//解析消息 name,value形式，如n=output,v=11
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JSONObject jsonObj = JSONObject.parseObject(payload);
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Set<String> keySet = jsonObj.keySet();
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String[] keys = keySet.toArray(new String[] {});
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//WorkstationDatapointsVO dpVo;
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final String NEWDP_SUFFIX = "_n";//计算规则使用之后新数据点的结尾
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for(String key : keys) {
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String appId = key;//iot系统中的应用id，本应用中应该用表去对应
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//TODO 获取工位数据点配置,只保存配置好的数据点，没有配置的采集数据抛弃。
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final WorkstationDatapointsVO dpVo = dpService.getDatapointsByAppIdFromCache(appId);
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if(dpVo == null) {
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//工位没有定义过数据点或者appId不匹配
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log.warn("appId={}未找到数据点定义记录，丢弃数据",appId);
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continue;
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}
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TelemetryData tdata = new TelemetryData();
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//tdata.setWorkstationId(workstationId);
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tdata.setAppId(appId);
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tdata.setWorkstationId(dpVo.getWorkstationId());
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JSONArray dtArr = jsonObj.getJSONArray(appId);
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for(int i=0;i<dtArr.size();i++) {
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TelemetryDataItem tdataItem = new TelemetryDataItem();
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JSONObject jsonDataItem = dtArr.getJSONObject(i);//每一项中dataItem还有values对象和ts时间戳2个属性
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long time = jsonDataItem.getLong("ts");
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tdataItem.setTime(time);
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JSONObject values = jsonDataItem.getJSONObject("values");
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Set<String> valueKeySet = values.keySet();
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valueKeySet.forEach(valueKey ->{
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String oriValueKey = valueKey;;//由于使用计算规则的采集点名称会后面增加一个"_n",所以这个oriValueKey代表没有增加"_n"的
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if(StringUtils.endsWith(valueKey, NEWDP_SUFFIX)) {
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oriValueKey = StringUtils.removeEnd(valueKey, NEWDP_SUFFIX);
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}
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if(!dpVo.containsDataPoint(oriValueKey)) {
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//如果不存在该数据点配置，该数据直接忽略
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return;
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}
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tdataItem.addPoint(oriValueKey,values.getString(valueKey));//使用原始配置点保持保存数据
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});
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tdata.addItem(tdataItem);
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}
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dtList.add(tdata);
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}
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return dtList;
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}
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/**
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* 根据对应表缓存，获取appId对应的id
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* @param appId
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* @return
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*/
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/*
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public Long getWorkstationIdByAppId(String appId) {
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Object wid = redisUtil.hget("workstation-appid-map", appId);
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String workstationId = String.valueOf(Optional.ofNullable(wid).orElse(StringUtils.EMPTY));
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if(ObjectUtil.isEmpty(workstationId)) {
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return null;
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}
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return Long.parseLong(workstationId);
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}
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*/
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}
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