package main
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import (
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"fmt"
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"ruleprocess/insertdata"
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"ruleprocess/ruleserver"
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"ruleprocess/util"
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"basic.com/pubsub/protomsg.git"
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"basic.com/valib/deliver.git"
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"github.com/golang/protobuf/proto"
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"sync"
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)
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func main() {
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wg := sync.WaitGroup{}
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wg.Add(1)
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go ruleserver.TimeTicker()
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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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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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m := paramFormat(msg, &arg)
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fmt.Println("解析出来的数据：", arg)
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ruleserver.Judge(arg)
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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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resultMag := ruleserver.ResultMsg{SdkMessage: m, RuleResult: arg.RuleResult}
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//fmt.Println("打完标签后的结果：",resultMag)
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// 将打完标签的数据插入到ES
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insertdata.InsertToEs(resultMag)
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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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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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fmt.Println("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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args.CameraId = m.Cid
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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.SdkId = sdkinfo.Sdkid
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arg.SdkName = sdkinfo.SdkName
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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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if len(sdkinfo.Sdkdata) > 1 {
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// 大于1才有数据
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fmt.Println("----------------------------------------------------",m.Cid)
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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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fmt.Println("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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for _, info := range yoloParam.Infos {
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if info.Typ == 0 {
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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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}
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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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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.SdkId = sdkinfo.Sdkid
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arg.SdkName = sdkinfo.SdkName
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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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fmt.Println("----------------------------------------------------",m.Caddr)
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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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fmt.Println("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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for _, info := range faceParam.Faces {
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photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality)*100, IsYolo:false,ThftRes:*(info.Result)}
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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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//if sdkinfo.Sdktype == "FaceExtract" { // 人脸提取
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//}
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}
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return m
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}
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