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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"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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"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/insertdata"
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"ruleprocess/ruleserver"
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"ruleprocess/util"
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"ruleprocess/logger"
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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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var logFile = "./info.log"
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var logSaveDays = 15
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// 日志初始化
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logger.Config(logFile, logger.DebugLevel)
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logger.SetSaveDays(logSaveDays)
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logger.Info("loginit success !")
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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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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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//resp,err := DrawPolygonOnImage()
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//if err != nil {
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// logger.Println("画框或者上传有问题")
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//}
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//logger.Println(resp["fileUrl"].(string))
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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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m := paramFormat(msg, &arg)
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logger.Info("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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//logger.Info("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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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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args.CameraId = m.Cid
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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.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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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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logger.Info("------当前算法name",sdkinfo.SdkName,"--------------看看yolo中有几个目标：",len(yoloParam.Infos))
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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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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("------当前算法name",sdkinfo.SdkName,"--------------看看人脸检测中有几个目标：",len(faceParam.Faces))
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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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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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faceParam := protomsg.ParamFaceFeature{}
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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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for _,faceExtCom := range faceParam.ExtComp {
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binfos := protomsg.Binfos{}
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err := proto.Unmarshal(faceExtCom.Comp, &binfos)
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if err != nil {
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logger.Info("解析人脸比对数据时出现错误", err)
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continue
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}
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logger.Info("_________________________________________________________________解析出的人脸的相似的底库数据",binfos.Infos[0].CompareScore)
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}
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logger.Info("------当前算法name",sdkinfo.SdkName,"--------------看看人脸提取中有几个目标：",len(faceParam.ExtComp))
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for _, extComp := range faceParam.ExtComp {
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baseinfos := protomsg.Binfos{}
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err1 := proto.Unmarshal(extComp.Comp, &baseinfos)
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if err1 != 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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photoMap := ruleserver.PhotoMap{Rects: rectFormat(extComp.Pos.Pos.RcFace), Score: float64(extComp.Pos.Pos.Quality)*100, IsYolo:false,ThftRes:*(extComp.Pos.Result),Liker:baseinfos.Infos}
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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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func DrawPolygonOnImage()(maps map[string]interface{}, err0 error){
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// draw the rook
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//rook := gocv.NewMatWithSize(w, w, gocv.MatTypeCV8UC3)
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//imgs := gocv.NewMat()
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ddd, err := RetrieveROM("./105.jpg")
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if err != nil {
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logger.Info("解码有误",err)
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}
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bbb := bytes.NewBuffer(ddd) // 必须加一个buffer 不然没有read方法就会报错
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rook, _ := gocv.NewMatFromBytes(500, 500, gocv.MatTypeCV8UC3, bbb.Bytes())
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defer rook.Close()
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green := color.RGBA{0, 255, 0, 0}
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points := [][]image.Point{
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{
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image.Pt(100., 100),
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image.Pt(100., 400),
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image.Pt(400, 400),
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image.Pt(400, 100),
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},
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}
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gocv.FillPoly(&rook, points, green)
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// 上传
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//fdata,_ := gocv.IMEncode(".jpg",rook)
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//body := &bytes.Buffer{}
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//writer := multipart.NewWriter(body)
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//_, err1 := writer.CreateFormFile("file", "fasjuierf")
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//if err1 != nil {
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// return nil, err1
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//}
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//boundary := writer.Boundary()
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////close_string := fmt.Sprintf("\r\n--%s--\r\n", boundary)
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//close_buf := bytes.NewBufferString(fmt.Sprintf("\r\n--%s--\r\n", boundary))
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//file := bytes.NewBuffer(fdata)
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//request_reader := io.MultiReader(body, file, close_buf)
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////_, err = io.Copy(part, file)
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////writer.WriteField(key, val)
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//request, err := http.NewRequest("POST", "http://192.168.1.182:6333/submit", request_reader)
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//request.Header.Add("Content-Type", writer.FormDataContentType())
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//timeout := time.Duration(5 * time.Second) //超时时间50ms
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//client := &http.Client{Timeout: timeout}
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//resp, err := client.Do(request)
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//if err != nil {
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// logger.Fatal(err)
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// return nil, err
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//}
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//defer func() {
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// if r := recover(); r != nil {
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// fmt.Printf("panic的内容%v\n", r)
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// msg := "上传图片服务器异常"
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// if _, ok := r.(error); ok {
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// msg = r.(error).Error()
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// logger.Info("panic--recover()得到的是error类型")
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// }
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// if _, ok := r.(string); ok {
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// msg = r.(string)
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// logger.Info("panic--recover()得到的是string类型")
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// }
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// err0 = errors.New(msg)
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// }
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//}()
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//defer resp.Body.Close()
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//{
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// body := &bytes.Buffer{}
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// _, err := body.ReadFrom(resp.Body)
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// if err != nil {
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// logger.Fatal(err)
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// }
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// logger.Info(resp.StatusCode)
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// //logger.Info(resp.Header)
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// logger.Info(body)
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// //decoder := json.NewDecoder(strings.NewReader(body.String()))
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// decoder := make(map[string]interface{})
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// if err := json.Unmarshal([]byte(body.String()), &decoder); err != nil {
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// return nil, err
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// }
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return nil, nil
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//}
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}
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// 把图片转成二进制流
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func RetrieveROM(filename string) ([]byte, error) {
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file, err := os.Open(filename)
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if err != nil {
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return nil, err
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}
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defer file.Close()
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stats, statsErr := file.Stat()
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if statsErr != nil {
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return nil, statsErr
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}
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var size int64 = stats.Size()
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bytes := make([]byte, size)
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bufr := bufio.NewReader(file)
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_, err = bufr.Read(bytes)
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return bytes, err
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}
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