package main

import (
	"basic.com/dbapi.git"
	"basic.com/pubsub/protomsg.git"
	"basic.com/valib/deliver.git"
	//"bufio"
	//"bytes"
	"flag"
	"fmt"
	"github.com/golang/protobuf/proto"
	"ruleprocess/logger"
	//"gocv.io/x/gocv"
	//"image"
	//"image/color"
	//"os"
	"ruleprocess/cache"
	"ruleprocess/ruleserver"
	"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{}
				paramFormat(msg, &arg)
				//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")
	}

	// 找201的人脸数据
	for _, sdkinfo := range m.Tasklab.Sdkinfos {
		if sdkinfo.Sdktype == "FaceDetect" && m.Cid == "e7e3f5b0-d0ef-40af-a9c9-eefd736937bf"{ // 人脸检测
			if len(sdkinfo.Sdkdata) > 1 {
				logger.Debug("有201的人脸数据了")
			} else {
				logger.Debug("没有201的人脸数据")
			}
		}
	}

	// 先进行一下追踪
	//ruleserver.FaceIsSame(&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
}