panlei
2019-07-27 77b9718ef05f774b2aac34408a76a8d3faf046df
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package main
 
import (
    "basic.com/dbapi.git"
    "basic.com/pubsub/protomsg.git"
    "basic.com/valib/deliver.git"
    //"bufio"
    //"bytes"
    "flag"
    "fmt"
    "ruleprocess/logger"
    "github.com/golang/protobuf/proto"
    //"gocv.io/x/gocv"
    //"image"
    //"image/color"
    //"os"
    "ruleprocess/cache"
    "ruleprocess/ruleserver"
    "ruleprocess/util"
    "ruleprocess/insertdata"
    "sync"
)
var dbIp = flag.String("dbIp","127.0.0.1","dbserver ip")
var dbPort = flag.Int("dbPort",8001,"default dbPort=8001")
var surveyPort = flag.Int("surveyPort",40007,"survey port") //心跳
var pubPort = flag.Int("pubPort",50007,"pubsub port") //数据更新
var initchan = make(chan bool)
func init () {
    // 日志初始化
    logger.Config("./info.log", logger.DebugLevel)
    logger.Info("日志初始化成功!")
 
}
func main() {
    flag.Parse()
    wg := sync.WaitGroup{}
    wg.Add(2)
 
    dbapi.Init(*dbIp,*dbPort)
    go cache.Init(initchan,*dbIp,*surveyPort,*pubPort)
    logger.Info("cache init completed!!!",<- initchan)//dbserver初始化完毕
    //fmt.Println("缓存初始化完成",<- initchan)//dbserver初始化完毕
    ruleserver.Init()
    go ruleserver.TimeTicker()
    go ruleserver.StartServer()
    nReciever("ipc:///tmp/sdk-2-rules-process.ipc", deliver.PushPull, 1)
    wg.Wait()
}
func nReciever(url string, m deliver.Mode, count int) {
    c := deliver.NewServer(m, url)
    nRecvImpl(c, 1)
}
 
func nRecvImpl(c deliver.Deliver, index int) {
 
    var msg []byte
    var err error
 
    for {
        select {
        // case <-ctx.Done():
        //     return
        default:
            msg, err = c.Recv()
            if err != nil {
                logger.Info("recv error : ", err)
                fmt.Println("recv error : ", err)
                continue
            } else {
                arg := ruleserver.SdkDatas{}
                m := paramFormat(msg, &arg)
                //logger.Info("解析出来的数据:", arg)
                ruleserver.Judge(&arg,&m) // 把sdkMessage传进去,方便缓存数据时拼出一个resultMag
                // 把arg里的打的标签拿出来给m再封装一层
                resultMag := ruleserver.ResultMsg{SdkMessage: &m, RuleResult: arg.RuleResult}
                //logger.Info("打完标签后的结果:",resultMag)
 
                // 将打完标签的数据插入到ES
                insertdata.InsertToEs(resultMag)
            }
        }
    }
}
 
// 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)
func rectFormat(rcobj *protomsg.Rect) ruleserver.Rect {
    logger.Info("++++++++++++++++++++++++++++++收到的yolo的区域坐标:",rcobj)
    rect := ruleserver.Rect{}
    rect.X = float64(rcobj.Left)
    rect.Y = float64(rcobj.Top)
    rect.Width = float64(rcobj.Right - rcobj.Left)
    rect.Height = float64(rcobj.Bottom - rcobj.Top)
    return rect
}
 
// 将外部传进来的sdk数据包解成 SdkDatas
func paramFormat(msg []byte, args *ruleserver.SdkDatas) protomsg.SdkMessage {
    defer func() {
        if err := recover(); err != nil {
            logger.Info("解包过程的错误", err.(string))
        }
 
    }()
    // 反序列化数据得到sdk入参
    m := protomsg.SdkMessage{}
    err := proto.Unmarshal(msg, &m)
    if err != nil {
        panic("解析msg时出现错误")
    }
    // 先进行一下追踪
    ruleserver.IsSame(&m)
    args.CameraId = m.Cid
    args.TaskId = m.Tasklab.Taskid
    // 把图片的二进制解压缩进行画框在压缩回去
    bdata, err := util.UnCompress(m.Data)
    if err != nil {
        panic("解压缩图片时出现错误")
    }
    i := protomsg.Image{}
    err = proto.Unmarshal(bdata, &i)
    //logger.Info("----------------看看有几个算法:",len(m.Tasklab.Sdkinfos))
    for _, sdkinfo := range m.Tasklab.Sdkinfos { // yolo算法
        if sdkinfo.Sdktype == "Yolo" {
            arg := ruleserver.SdkData{}
            arg.TaskId = m.Tasklab.Taskid
            arg.IpcId = sdkinfo.Ipcid
            arg.IsYolo = true
            bdata, err := util.UnCompress(m.Data)
            if err != nil {
                panic("解压缩图片时出现错误")
            }
            i := protomsg.Image{}
            err = proto.Unmarshal(bdata, &i)
            arg.ImageWidth = int(i.Width)
            arg.ImageHeight = int(i.Height)
            // 暂时写死,sdk还没有这俩算法
            arg.KeepRight = false
            arg.IsStatic = false
            logger.Info("-----追踪之后sdkinfo.Sdkdata的长度为:----",len(sdkinfo.Sdkdata))
            if len(sdkinfo.Sdkdata) > 1 {
                // 大于1才有数据
                yoloParam := protomsg.ParamYoloObj{}
                err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam)
                if err != nil {
                    logger.Info("解析YOLO sdk数据时出现错误", err)
                    continue
                }
                var yoloNum int = 0
                for _, info := range yoloParam.Infos {
                    if info.Typ == 0 {
                        //logger.Debug("-------------yolo的坐标有几个",info.RcObj)
                        photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true}
                        arg.Photo = append(arg.Photo, photoMap)
                        yoloNum++
                    }
                }
                logger.Info("--------------追踪之后yolo的个数:",yoloNum)
                args.Sdkdata = append(args.Sdkdata,&arg)
            } else {
                continue
            }
 
        }
        if sdkinfo.Sdktype == "FaceDetect" { // 人脸检测
            arg := ruleserver.SdkData{}
            arg.TaskId = m.Tasklab.Taskid
            arg.IpcId = sdkinfo.Ipcid
            arg.IsYolo = false
            bdata, err := util.UnCompress(m.Data)
            if err != nil {
                panic("解压缩图片时出现错误")
            }
            i := protomsg.Image{}
            err = proto.Unmarshal(bdata, &i)
            arg.ImageWidth = int(i.Width)
            arg.ImageHeight = int(i.Height)
            // 暂时写死,sdk还没有这俩算法
            arg.KeepRight = false
            arg.IsStatic = false
            if len(sdkinfo.Sdkdata) > 1 {
                faceParam := protomsg.ParamFacePos{}
                err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam)
                if err != nil {
                    logger.Info("解析FACE sdk数据时出现错误", err)
                    continue
                }
                logger.Info("--------------追踪之后yolo的个数:",len(faceParam.Faces))
                for _, info := range faceParam.Faces {
                    //logger.Info("_______________________________________________第一次看相似值:",info.Pos.FAngle.Confidence*100)
                    photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.FAngle.Confidence*100), IsYolo:false,ThftRes:*(info.Result),Feature:info.Feats}
                    arg.Photo = append(arg.Photo, photoMap)
                }
                args.Sdkdata = append(args.Sdkdata,&arg)
            } else {
                continue
            }
        }
    }
    return m
}