package main
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import (
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"basic.com/dbapi.git"
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"basic.com/pubsub/protomsg.git"
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"basic.com/valib/deliver.git"
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"ruleprocess/insertdata"
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"ruleprocess/labelFilter"
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"ruleprocess/util"
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//"bufio"
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//"bytes"
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"flag"
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"fmt"
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"github.com/golang/protobuf/proto"
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"ruleprocess/logger"
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//"gocv.io/x/gocv"
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//"image"
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//"image/color"
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//"os"
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"ruleprocess/cache"
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"ruleprocess/ruleserver"
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"sync"
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)
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var dbIp = flag.String("dbIp","127.0.0.1","dbserver ip")
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var dbPort = flag.Int("dbPort",8001,"default dbPort=8001")
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var surveyPort = flag.Int("surveyPort",40007,"survey port") //心跳
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var pubPort = flag.Int("pubPort",50007,"pubsub port") //数据更新
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var initchan = make(chan bool)
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func init () {
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// 日志初始化
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logger.Config("./info.log", logger.DebugLevel)
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logger.Info("日志初始化成功！")
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}
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func main() {
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flag.Parse()
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wg := sync.WaitGroup{}
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wg.Add(2)
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dbapi.Init(*dbIp,*dbPort)
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go cache.Init(initchan,*dbIp,*surveyPort,*pubPort)
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logger.Info("cache init completed!!!",<- initchan)//dbserver初始化完毕
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//fmt.Println("缓存初始化完成",<- initchan)//dbserver初始化完毕
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ruleserver.Init()
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go ruleserver.TimeTicker()
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go ruleserver.StartServer()
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nReciever("ipc:///tmp/sdk-2-rules-process.ipc", deliver.PushPull, 1)
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wg.Wait()
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}
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func nReciever(url string, m deliver.Mode, count int) {
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c := deliver.NewServer(m, url)
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nRecvImpl(c, 1)
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}
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func nRecvImpl(c deliver.Deliver, index int) {
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var msg []byte
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var err error
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for {
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select {
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// case <-ctx.Done():
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// return
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default:
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msg, err = c.Recv()
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if err != nil {
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logger.Info("recv error : ", err)
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fmt.Println("recv error : ", err)
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continue
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} else {
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arg := ruleserver.SdkDatas{}
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//paramFormat(msg, &arg)
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m := paramFormat(msg, &arg)
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// 进行规则处理判断(打上规则的标签)
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ruleserver.Judge(&arg,&m) // 把sdkMessage传进去，方便缓存数据时拼出一个resultMag
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// 把arg里的打的标签拿出来给m再封装一层
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resultMsg := ruleserver.ResultMsg{SdkMessage: &m, RuleResult: arg.RuleResult}
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// 将打完标签的数据插入到ES
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insertdata.InsertToEs(resultMsg)
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//事件推送
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go labelFilter.Judge(resultMsg)
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}
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}
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}
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}
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// 将外部传进来的rect（top,bottom,left,right）转化为自己内部的rect(left top width height)
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func rectFormat(rcobj *protomsg.Rect) ruleserver.Rect {
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//logger.Info("++++++++++++++++++++++++++++++收到的yolo的区域坐标：",rcobj)
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rect := ruleserver.Rect{}
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rect.X = float64(rcobj.Left)
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rect.Y = float64(rcobj.Top)
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rect.Width = float64(rcobj.Right - rcobj.Left)
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rect.Height = float64(rcobj.Bottom - rcobj.Top)
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return rect
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}
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// 将外部传进来的sdk数据包解成 SdkDatas
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func paramFormat(msg []byte, args *ruleserver.SdkDatas) protomsg.SdkMessage {
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defer func() {
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if err := recover(); err != nil {
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logger.Info("解包过程的错误", err.(string))
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}
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}()
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// 反序列化数据得到sdk入参
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m := protomsg.SdkMessage{}
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err := proto.Unmarshal(msg, &m)
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if err != nil {
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panic("解析msg时出现错误")
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}
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logger.Info("接到数据，摄像机为：",m.Cid)
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// 先进行一下追踪
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//ruleserver.FaceIsSame(&m)
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args.CameraId = m.Cid
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args.TaskId = m.Tasklab.Taskid
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// 把图片的二进制解压缩进行画框在压缩回去
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bdata, err := util.UnCompress(m.Data)
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if err != nil {
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panic("解压缩图片时出现错误")
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}
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i := protomsg.Image{}
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err = proto.Unmarshal(bdata, &i)
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//logger.Info("----------------看看有几个算法：",len(m.Tasklab.Sdkinfos))
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for _, sdkinfo := range m.Tasklab.Sdkinfos { // yolo算法
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if sdkinfo.Sdktype == "Yolo" {
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arg := ruleserver.SdkData{}
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arg.TaskId = m.Tasklab.Taskid
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arg.IpcId = sdkinfo.Ipcid
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arg.IsYolo = true
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bdata, err := util.UnCompress(m.Data)
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if err != nil {
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panic("解压缩图片时出现错误")
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}
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i := protomsg.Image{}
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err = proto.Unmarshal(bdata, &i)
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arg.ImageWidth = int(i.Width)
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arg.ImageHeight = int(i.Height)
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// 暂时写死，sdk还没有这俩算法
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arg.KeepRight = false
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arg.IsStatic = false
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logger.Info("-----追踪之后sdkinfo.Sdkdata的长度为：----",len(sdkinfo.Sdkdata))
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if len(sdkinfo.Sdkdata) > 1 {
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// 大于1才有数据
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yoloParam := protomsg.ParamYoloObj{}
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err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam)
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if err != nil {
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logger.Info("解析YOLO sdk数据时出现错误", err)
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continue
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}
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var yoloNum int = 0
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for _, info := range yoloParam.Infos {
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if info.Typ == 0 {
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//logger.Debug("-------------yolo的坐标有几个",info.RcObj)
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photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true}
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arg.Photo = append(arg.Photo, photoMap)
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yoloNum++
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}
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}
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logger.Info("--------------追踪之后yolo的个数：",yoloNum)
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args.Sdkdata = append(args.Sdkdata,&arg)
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} else {
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continue
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}
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}
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if sdkinfo.Sdktype == "FaceDetect" { // 人脸检测
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arg := ruleserver.SdkData{}
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arg.TaskId = m.Tasklab.Taskid
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arg.IpcId = sdkinfo.Ipcid
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arg.IsYolo = false
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bdata, err := util.UnCompress(m.Data)
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if err != nil {
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panic("解压缩图片时出现错误")
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}
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i := protomsg.Image{}
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err = proto.Unmarshal(bdata, &i)
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arg.ImageWidth = int(i.Width)
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arg.ImageHeight = int(i.Height)
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// 暂时写死，sdk还没有这俩算法
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arg.KeepRight = false
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arg.IsStatic = false
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if len(sdkinfo.Sdkdata) > 1 {
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faceParam := protomsg.ParamFacePos{}
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err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam)
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if err != nil {
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logger.Info("解析FACE sdk数据时出现错误", err)
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continue
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}
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logger.Info("--------------追踪之后人脸的个数：",len(faceParam.Faces))
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for _, info := range faceParam.Faces {
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//logger.Info("_______________________________________________第一次看相似值：",info.Pos.FAngle.Confidence*100)
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photoMap := ruleserver.PhotoMap{Id:info.Pos.FaceID,Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.FAngle.Confidence*100), IsYolo:false,ThftRes:*(info.Result),Feature:info.Feats}
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arg.Photo = append(arg.Photo, photoMap)
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}
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args.Sdkdata = append(args.Sdkdata,&arg)
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} else {
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continue
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}
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}
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}
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return m
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}
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