package main

import (
	"fmt"
	"ruleprocess/insertdata"
	"ruleprocess/ruleserver"
	"ruleprocess/util"

	"basic.com/pubsub/protomsg.git"
	"basic.com/valib/deliver.git"
	"github.com/golang/protobuf/proto"
	"sync"
)

func main() {
	wg := sync.WaitGroup{}
	wg.Add(1)
	go ruleserver.TimeTicker()
	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 {
				fmt.Println("recv error : ", err)
				continue
			} else {
				arg := ruleserver.SdkDatas{}
				m := paramFormat(msg, &arg)
				fmt.Println("解析出来的数据：", arg)
				ruleserver.Judge(&arg)
				// 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}
				//fmt.Println("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sdk数据包解成 ArgsFromSdk
//func paramFormat(msg []byte, arg *ruleserver.ArgsFromSdk) protomsg.SdkMessage {
//	defer func() {
//		if err := recover(); err != nil {
//			fmt.Println("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")
//	}
//	arg.CameraId = m.Cid
//	arg.TaskId = m.Tasklab.Taskid
//	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
//	for _, sdkinfo := range m.Tasklab.Sdkinfos { // yolo算法
//		if sdkinfo.Sdktype == "Yolo" {
//			if len(sdkinfo.Sdkdata) > 1 {
//				// 大于1才有数据
//				fmt.Println("----------------------------------------------------",m.Caddr)
//				yoloParam := protomsg.ParamYoloObj{}
//				err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam)
//				if err != nil {
//					fmt.Println("解析YOLO sdk数据时出现错误", err)
//					continue
//				}
//				for _, info := range yoloParam.Infos {
//					if info.Typ == 0 {
//						photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true}
//						arg.Photo = append(arg.Photo, photoMap)
//					}
//				}
//			} else {
//				continue
//			}
//
//		}
//		if sdkinfo.Sdktype == "FaceDetect" { // 人脸检测
//			if len(sdkinfo.Sdkdata) > 1 {
//				fmt.Println("----------------------------------------------------",m.Caddr)
//				faceParam := protomsg.ParamFacePos{}
//				err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam)
//				if err != nil {
//					fmt.Println("解析FACE sdk数据时出现错误", err)
//					continue
//				}
//				for _, info := range faceParam.Faces {
//					photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality), IsYolo:false,ThftRes:*(info.Result)}
//					arg.Photo = append(arg.Photo, photoMap)
//				}
//			} else {
//				continue
//			}
//		}
//		//if sdkinfo.Sdktype == "FaceExtract" { // 人脸提取
//
//		//}
//
//	}
//	return m
//}

// 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 {
	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 {
			fmt.Println("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")
	}
	args.CameraId = m.Cid
	for _, sdkinfo := range m.Tasklab.Sdkinfos { // yolo算法
		if sdkinfo.Sdktype == "Yolo" {
			arg := ruleserver.SdkData{}
			arg.TaskId = m.Tasklab.Taskid
			arg.SdkId = sdkinfo.Sdkid
			arg.SdkName = sdkinfo.SdkName
			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
			if len(sdkinfo.Sdkdata) > 1 {
				// 大于1才有数据
				fmt.Println("----------------------------------------------------",m.Cid)
				yoloParam := protomsg.ParamYoloObj{}
				err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam)
				if err != nil {
					fmt.Println("解析YOLO sdk数据时出现错误", err)
					continue
				}
				for _, info := range yoloParam.Infos {
					if info.Typ == 0 {
						photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true}
						arg.Photo = append(arg.Photo, photoMap)
					}
				}
				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.SdkId = sdkinfo.Sdkid
			arg.SdkName = sdkinfo.SdkName
			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 {
				fmt.Println("----------------------------------------------------",m.Caddr)
				faceParam := protomsg.ParamFacePos{}
				err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam)
				if err != nil {
					fmt.Println("解析FACE sdk数据时出现错误", err)
					continue
				}
				for _, info := range faceParam.Faces {
					photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality)*100, IsYolo:false,ThftRes:*(info.Result)}
					arg.Photo = append(arg.Photo, photoMap)
				}
				args.Sdkdata = append(args.Sdkdata,arg)
			} else {
				continue
			}
		}
		//if sdkinfo.Sdktype == "FaceExtract" { // 人脸提取

		//}

	}
	return m
}