package insertdata import ( "basic.com/valib/logger.git" "encoding/base64" "encoding/json" "errors" "net" "ruleprocess/cache" "ruleprocess/structure" "strconv" "time" "basic.com/pubsub/protomsg.git" "github.com/golang/protobuf/proto" "github.com/satori/go.uuid" "ruleprocess/ruleserver" "ruleprocess/util" ) var weedfsUrl, videoPersonUrl, personAction string type conf struct { PhotoUrl string `yaml:"photoUrl"` VideoPersons string `yaml:"videoPersons"` PersonAction string `yaml:"personAction"` ServerIp string `yaml:"serverIp"` ServerPort string `yaml:"serverPort"` DbTablePersons string `yaml:"dbTablePersons"` } //func InitInsertEs() { // weedfsUrl = "http://"+WeedFs.Ip+":"+strconv.Itoa(WeedFs.UploadPort)+"/submit" // videoPersonUrl = "http://"+EsInfo.Masterip+":"+EsInfo.Httpport+"/"+EsInfo.EsIndex.VideoPersons.IndexName+"/"+EsInfo.EsIndex.VideoPersons.IndexType // personAction = "http://"+EsInfo.Masterip+":"+EsInfo.Httpport+"/"+EsInfo.EsIndex.Personaction.IndexName+"/"+EsInfo.EsIndex.Personaction.IndexType //} // 人脸的数据结构 type PerVideoPicture struct { Id string `json:"id"` CameraId string `json:"cameraId"` CameraAddr string `json:"cameraAddr"` CameraName string `json:"cameraName"` PicDate string `json:"picDate"` PicMaxUrl []string `json:"picMaxUrl"` TaskId string `json:"taskId"` TaskName string `json:"taskName"` SdkName string `json:"sdkName"` Content string `json:"content"` AlarmRules []AlarmRule `json:"alarmRules"` LikeDate string `json:"likeDate"` ShowLabels string `json:"showLabels"` OtherLabels string `json:"otherLabels"` VideoUrl string `json:"videoUrl"` AnalyServerId string `json:"analyServerId"` AnalyServerName string `json:"analyServerName"` AnalyServerIp string `json:"analyServerIp"` ClusterId string `json:"clusterId"` IsAlarm bool `json:"isAlarm"` IsAckAlarm bool `json:"isAckAlarm"` IsCollect bool `json:"isCollect"` IsDelete bool `json:"isDelete"` BaseInfo []*structure.BaseInfo `json:"baseInfo"` TargetInfo []Target `json:"targetInfo"` LinkTag string `json:"linkTag"` LinkTagInfo []*LinkInfo `json:"linkTagInfo"` } type LinkInfo struct { Id string `json:"id"` CameraId string `json:"cameraId"` CameraAddr string `json:"cameraAddr"` CameraName string `json:"cameraName"` PicDate string `json:"picDate"` PicMaxUrl []string `json:"picMaxUrl"` TaskId string `json:"taskId"` TaskName string `json:"taskName"` SdkName string `json:"sdkName"` Content string `json:"content"` AlarmRules []AlarmRule `json:"alarmRules"` LikeDate string `json:"likeDate"` ShowLabels string `json:"showLabels"` OtherLabels string `json:"otherLabels"` VideoUrl string `json:"videoUrl"` AnalyServerId string `json:"analyServerId"` AnalyServerName string `json:"analyServerName"` AnalyServerIp string `json:"analyServerIp"` ClusterId string `json:"clusterId"` IsAlarm bool `json:"isAlarm"` IsAckAlarm bool `json:"isAckAlarm"` IsCollect bool `json:"isCollect"` IsDelete bool `json:"isDelete"` BaseInfo []*structure.BaseInfo `json:"baseInfo"` TargetInfo []Target `json:"targetInfo"` } type Target struct { TargetId string `json:"targetId"` TargetScore float64 `json:"targetScore"` TargetType string `json:"targetType"` Feature string `json:"feature"` PicSmUrl string `json:"picSmUrl"` TargetLocation Points `json:"targetLocation"` } type Points struct { TopLeft Point `json:"topLeft"` BottomRight Point `json:"bottomRight"` } type Point struct { X float64 `json:"x"` Y float64 `json:"y"` } type AlarmRule struct { GroupId string `json:"groupId"` AlarmLevel string `json:"alarmLevel"` RuleText string `json:"ruleText"` DefenceState bool `json:"defenceState"` LinkInfo string `json:"linkInfo"` } // 一个obj对多个规则组的归置人脸的结构体 可用于人脸 可用于车牌 type ObjAndRules struct { structure.Arg rules []structure.Result } func InsertToEs(msg structure.ResultMsg) { defer func() { if err := recover(); err != nil { logger.Error("es模块儿的异常捕获:", err) } }() localConfig1, err := cache.GetServerInfo() if err != nil { panic("配置文件不合法") } weedfsUrl = "http://" + localConfig1.WebPicIp + ":" + strconv.Itoa(int(localConfig1.WebPicPort)) + "/submit" videoPersonUrl = "http://" + localConfig1.AlarmIp + ":" + strconv.Itoa(int(localConfig1.AlarmPort)) + "/" + EsInfo.EsIndex.AIOcean.IndexName + "/" + EsInfo.EsIndex.AIOcean.IndexType InsertFace(msg) InsertYolo(msg) InsertTarget(msg) } // 往es中插入人脸类型数据 func InsertFace(msg structure.ResultMsg) { if (msg.RuleResult["face"] != nil && len(msg.RuleResult["face"].([]structure.Result)) > 0) || (msg.RuleResult["plate"] != nil && len(msg.RuleResult["plate"].([]structure.Result)) > 0) { for key, results := range msg.RuleResult { if key == "face" || key == "plate" { logger.Info("往ES插人脸数据(或车牌数据)") faces := []*ObjAndRules{} faces = PutFace(faces, results.([]structure.Result)) //logger.Info("整理后的数据:",faces) if faces != nil { var imgMaxUrl []string = []string{} var picTime string = "" for _, face := range faces { // 上传大图 // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } alarmRules := []AlarmRule{} for _, faceResult := range face.rules { alarm := ChangeToString(faceResult.DefenceState, faceResult.AlarmLevel) alarmRules = append(alarmRules, AlarmRule{faceResult.RuleGroupId, alarm, faceResult.RuleText, faceResult.DefenceState, ""}) } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) // 先传小图,再传大图,防止脸上有线 bytes := util.SubImg(i, int(face.Location.X), int(face.Location.Y), int(face.Location.X+face.Location.Width), int(face.Location.Y+face.Location.Height)) resp, err := util.PostFormBufferData1(weedfsUrl, bytes, uuid.NewV4().String()) if err != nil { logger.Error("上传小图出错") } // 上传大图 if len(imgMaxUrl) == 0 { bigPhotoUrl := make(map[string]interface{}) bigPhotoUrl, err = util.DrawPolygonOnImageForFace(msg.Cid, i, msg.RuleResult["face"].([]structure.Result), weedfsUrl) logger.Debug("========大图路径:", bigPhotoUrl) imgMaxUrl = append(imgMaxUrl, bigPhotoUrl["fileUrl"].(string)) picTime = i.Timestamp } lable, lableAttach := Feature2Jsonstr(*face) var target = new(Target) target.TargetId = face.Id target.TargetScore = face.Score target.TargetType = face.Type logger.Info("人脸的特征值是:",face.Feature) target.Feature = base64.StdEncoding.EncodeToString(face.Feature) logger.Info("base64版本:",target.Feature) target.PicSmUrl = resp["fileUrl"].(string) target.TargetLocation = Points{TopLeft: Point{face.Location.X, face.Location.Y}, BottomRight: Point{face.Location.X + face.Location.Width, face.Location.Y + face.Location.Height}} var targetInfos []Target targetInfos = append(targetInfos, *target) sdkname := "" switch key { case "face": sdkname = "人脸" case "plate": sdkname = "车牌识别" } logger.Info("人脸目标target:",targetInfos) pervideo := PerVideoPicture{ face.Uuid, msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, picTime, imgMaxUrl, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkname, "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), // 只检测,没有比对时间 lable, lableAttach, "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", true, false, false, false, face.Liker, targetInfos, "", []*LinkInfo{}, } requstbody, err := json.Marshal(pervideo) if err != nil { logger.Info("json parse error ", err) return } resp1, err1 := EsReq("POST", videoPersonUrl, requstbody) if err1 != nil { logger.Error("上传ES出错!---", err1) } else { logger.Info("插入es返回的信息:", sdkname, "---", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: face.Uuid, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 1}) } } } } } } } // 归置人脸 func PutFace(objs []*ObjAndRules, resutls []structure.Result) []*ObjAndRules { for _, faceResult := range resutls { objs = hebingFace(objs, faceResult) } return objs } func hebingFace(objs []*ObjAndRules, faceResult structure.Result) []*ObjAndRules { for _, arg := range faceResult.AlarmObj { // 拿到每一张人脸 //logger.Info("归置人脸时相似者的数量:", len(arg.Liker)) flag := false for _, face := range objs { //for _, lik := range face.Liker { // //logger.Warn("--------合并人脸时相似者:", lik.PersonId, lik.TableName) //} if arg.Id == face.Id { flag = true face.rules = append(face.rules, faceResult) // 相似者去重归并 for _, liker := range arg.Liker { flag1 := true for _, liker1 := range face.Liker { if liker.TargetId == liker1.TargetId { flag1 = false } } if flag1 { face.Liker = append(face.Liker, liker) } } //face.Liker = append(face.Liker,arg.Liker...) } } if !flag { objs = append(objs, &ObjAndRules{*arg, []structure.Result{faceResult}}) } } return objs } // 往es中插入yolo数据 func InsertYolo(msg structure.ResultMsg) { if msg.RuleResult["yolo"] != nil && len(msg.RuleResult["yolo"].([]structure.Result)) > 0 { // 先判断一下数据带的规则标签是否有可以插入的 flag := false for _, res := range msg.RuleResult["yolo"].([]structure.Result) { //logger.Info("定时器打的数字标签:",res.Others.TimeLabel) if res.Others.TimeLabel == "01" || res.Others.TimeLabel == "10" { flag = true } } if flag { logger.Info("往ES插yolo数据") var sdkNames string = "" alarmRules := []AlarmRule{} var targetInfos []Target url := []string{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10" { // 拼出sdkname //logger.Info("应该进来才对的") sdkNames = sdkNames + yoloResult.SdkName alarm := ChangeToString(yoloResult.DefenceState, yoloResult.AlarmLevel) linkInfo := "" if yoloResult.IsLink { linkInfo = "联动任务" } alarmRules = append(alarmRules, AlarmRule{yoloResult.RuleGroupId, alarm, yoloResult.RuleText, yoloResult.DefenceState, linkInfo}) logger.Info("打印任务名称:", ) // 上传缓存数据的图片拿到url if yoloResult.Others.CacheData != nil { //InsertYolo(msg.RuleResult["cacheData"].(ruleserver.ResultMsg)) // 把缓存的数据上传后得到地址存进去 // 解压缩并上传图片 msgs := yoloResult.Others.CacheData for _, msg1 := range msgs { bdata, err := util.UnCompress(msg1.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) resp1, err1 := util.DrawPolygonOnImageForYolo(msg1.Cid, i, msg1.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err1 != nil { logger.Error("缓存数据画框或上传图片服务器出错", err) } else { logger.Info("上传的图片信息:", resp1) } if resp1["fileUrl"] != nil { url = append(url, resp1["fileUrl"].(string)) } } } // 装配目标信息数据 for _, target := range yoloResult.AlarmObj { // 去重添加 var flag = true for _, selectTarget := range targetInfos { if target.Id == selectTarget.TargetId { flag = false break } } if flag { var target1 = new(Target) target1.TargetId = target.Id target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) } } } } // 联动图像的处理 linkTagInfos := []*LinkInfo{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if (yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10") && yoloResult.Others.LinkCache != nil && len(yoloResult.Others.LinkCache) > 1 { for _, msg2 := range yoloResult.Others.LinkCache { // 把msg2的数据装配成一个PerVideoPicture结构体 if msg2.Cid != msg.Cid { linkTagInfos = append(linkTagInfos, msg2PersonVideo(msg2)) } } } } linkTag := "" if len(linkTagInfos) > 0 { linkTag = "联动任务" } isAlarm := false resp := make(map[string]interface{}) // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) if len(alarmRules) > 0 { isAlarm = true //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err != nil { logger.Error("画框或上传图片服务器出错", err) return } else { logger.Info("上传的图片信息:", resp) } } else { isAlarm = false // 不是报警数据不存 return } if resp["fileUrl"] != nil { url = append(url, resp["fileUrl"].(string)) //esDataId := uuid.NewV4().String() peraction := PerVideoPicture{ msg.Push.PushId, msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, time.Now().Format("2006-01-02 15:04:05"), url, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkNames, time.Now().Format("2006-01-02 15:04:05"), alarmRules, i.Timestamp, "", "", "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", isAlarm, false, false, false, nil, targetInfos, linkTag, linkTagInfos, } requstbody, err := json.Marshal(peraction) if len(linkTagInfos) > 0 { logger.Info("联动任务1111") } if err != nil { logger.Info("json parse error ", err) return } resp1, err2 := EsReq("POST", videoPersonUrl, requstbody) if err2 != nil { logger.Error("往ES插入数据失败", err) } else { logger.Debug("插入es返回的数据信息是(yolo):", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 2}) for index, link := range linkTagInfos { logger.Info("联动任务的录像信号:", index) ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: link.CameraId, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{strconv.Itoa(index)}, Type: 2}) } logger.Warn("__________________________________________往ES插入yolo数据成功") //os.Exit(1) } } } } else { logger.Debug("timeLabel条件都不符合!") } } // 插入目标持续时间数据 func InsertTarget(msg structure.ResultMsg) { if msg.RuleResult["target"] != nil && len(msg.RuleResult["target"].([]structure.Result)) > 0 { // 先判断一下数据带的规则标签是否有可以插入的 logger.Info("插入定时目标信息:", len(msg.RuleResult["target"].([]structure.Result))) for _, yoloResult := range msg.RuleResult["target"].([]structure.Result) { // 装载目标信息` // 如果有首次报警的则本帧数据可以插入 insertFlag := false alarmNum := 0 for _, obj := range yoloResult.AlarmObj { if obj.TimeLable == "10" { insertFlag = true alarmNum++ } } if insertFlag { logger.Info("报警目标个数:", alarmNum) // 获取目标缓存图片 url := []string{} //InsertYolo(msg.RuleResult["cacheData"].(ruleserver.ResultMsg)) // 把缓存的数据上传后得到地址存进去 // 解压缩并上传图片 url1 := uploadImg(yoloResult.AlarmObj[0].CacheData) url = append(url, url1) // 添加报警规则组 sdkNames := "" alarmRules := []AlarmRule{} sdkNames = sdkNames + yoloResult.SdkName alarm := ChangeToString(yoloResult.DefenceState, yoloResult.AlarmLevel) linkInfo := "" if yoloResult.IsLink { linkInfo = "联动任务" } alarmRules = append(alarmRules, AlarmRule{yoloResult.RuleGroupId, alarm, yoloResult.RuleText, yoloResult.DefenceState, linkInfo}) // 联动图像的处理 linkTagInfos := []*LinkInfo{} for _, yoloResult := range msg.RuleResult["target"].([]structure.Result) { if (yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10") && yoloResult.Others.LinkCache != nil && len(yoloResult.Others.LinkCache) > 1 { for _, msg2 := range yoloResult.Others.LinkCache { // 把msg2的数据装配成一个PerVideoPicture结构体 if msg2.Cid != msg.Cid { linkTagInfos = append(linkTagInfos, msg2PersonVideo(msg2)) } } } } linkTag := "" if len(linkTagInfos) > 0 { linkTag = "联动任务" } isAlarm := false resp := make(map[string]interface{}) // 解压缩并上传本帧数据图片 bdata1, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata1, &i) if len(alarmRules) > 0 { isAlarm = true //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["target"].([]structure.Result), weedfsUrl) if err != nil { logger.Error("画框或上传图片服务器出错", err) return } else { logger.Info("上传的图片信息:", resp) } } else { isAlarm = false // 不是报警数据不存 return } // 整合目标 var targetInfos []Target for _, target := range yoloResult.AlarmObj { // 去重添加 var flag = true for _, selectTarget := range targetInfos { if target.Id == selectTarget.TargetId { flag = false break } } if flag { var target1 = new(Target) target1.TargetId = target.Id target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) } } if resp["fileUrl"] != nil { url = append(url, resp["fileUrl"].(string)) if len(url) == 1 { return } //esDataId := uuid.NewV4().String() peraction := PerVideoPicture{ msg.Push.PushId, msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, i.Timestamp, url, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkNames, "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), "", "", "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", isAlarm, false, false, false, nil, targetInfos, linkTag, linkTagInfos, } requstbody, err := json.Marshal(peraction) if len(linkTagInfos) > 0 { logger.Info("联动任务1111") } if err != nil { logger.Info("json parse error ", err) return } resp1, err2 := EsReq("POST", videoPersonUrl, requstbody) if err2 != nil { logger.Error("往ES插入数据失败", err) } else { logger.Debug("插入es返回的数据信息是(target):", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 2}) for index, link := range linkTagInfos { logger.Info("联动任务的录像信号:", index) ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: link.CameraId, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{strconv.Itoa(index)}, Type: 2}) } logger.Warn("__________________________________________往ES插入target数据成功") //os.Exit(1) } } } else { logger.Info("没有首次报警的目标,不插入") } } } } // 获取本机ip func GetLocalIP() (ipv4 string, err error) { var ( addrs []net.Addr addr net.Addr ipNet *net.IPNet // IP地址 isIpNet bool ) // 获取所有网卡 if addrs, err = net.InterfaceAddrs(); err != nil { return } // 取第一个非lo的网卡IP for _, addr = range addrs { // 这个网络地址是IP地址: ipv4, ipv6 if ipNet, isIpNet = addr.(*net.IPNet); isIpNet && !ipNet.IP.IsLoopback() { // 跳过IPV6 if ipNet.IP.To4() != nil { ipv4 = ipNet.IP.String() // 192.168.1.1 return } } } err = errors.New("ipv4 not found") return } // 把报警等级转化成汉字 func ChangeToString(defenceState bool, i int32) string { alarm := "" if defenceState { if i == 1 { alarm = "一级" } if i == 2 { alarm = "二级" } if i == 3 { alarm = "三级" } if i == 4 { alarm = "四级" } if i == 5 { alarm = "五级" } } else { alarm = "撤防" } return alarm } func uploadImg(msg structure.ResultMsg) string { bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) resp1, err1 := util.DrawPolygonOnImageForTarget(msg.Cid, i, msg.RuleResult["target"].([]structure.Result), weedfsUrl) if err1 != nil { logger.Error("缓存数据画框或上传图片服务器出错", err) } else { logger.Info("上传的图片信息:", resp1) } if resp1["fileUrl"] != nil { return resp1["fileUrl"].(string) } else { return "" } } //获取年龄描述 func getDescription(age int32) string { ageInfo := "青年" if age > 0 && age < 7 { ageInfo = "童年" } else if age >= 7 && age < 18 { ageInfo = "少年" } else if age >= 18 && age < 40 { ageInfo = "青年" } else if age >= 40 && age < 65 { ageInfo = "中年" } else if age >= 65 { ageInfo = "老年" } return ageInfo } func getRaceString(i int32) string { race := "" if i == 1 { race = "白人" } else if i == 2 { race = "黄人" } else { race = "黑人" } return race } func Feature2Jsonstr(obj ObjAndRules) (string, string) { var lable string var lableAttach string switch obj.Type { case "face": sex := "" if obj.ThftRes.Gender == 1 { sex = "男" } else { sex = "女" } race := getRaceString(obj.ThftRes.Race) ageDescription := getDescription(obj.ThftRes.Age) lable = sex + "/" + ageDescription + "/" + race lableAttach = strconv.Itoa(int(obj.ThftRes.Age)) + "岁" + "/" + "微笑值:" + strconv.Itoa(int(obj.ThftRes.Smile)) + "/" + "颜值:" + strconv.Itoa(int(obj.ThftRes.Beauty)) case "plate": // 车牌运动方向,0 unknown, 1 left, 2 right, 3 up, 4 down logger.Info("车辆车牌信息:", obj.Car.NColor, obj.Car.NCarColor, obj.Car.NCarLogo, obj.Car.NCarType, obj.Car.NDirection) lable = obj.Car.License + "/" + cache.GetDic("nColor"+strconv.Itoa(int(obj.Car.NColor))) + "车牌" + "/" + cache.GetDic("nCarColor"+strconv.Itoa(int(obj.Car.NCarColor))) + "车辆" + "/" + "品牌:" + cache.GetDic("nCarLogo"+strconv.Itoa(int(obj.Car.NCarLogo))) + "/" + "型号:" + cache.GetDic("nCarType"+strconv.Itoa(int(obj.Car.NCarType))) lableAttach = "运动方向:" + cache.GetDic("nDirection"+strconv.Itoa(int(obj.Car.NDirection))) + "/" + "车牌置信度:" + strconv.Itoa(int(obj.Car.NConfidence)) + "/" + "车牌亮度:" + strconv.Itoa(int(obj.Car.NBright)) + "/" + "车的亮度:" + strconv.Itoa(int(obj.Car.NCarBright)) + "/" + "识别时间:" + strconv.Itoa(int(obj.Car.NTime)) } return lable, lableAttach } func msg2PersonVideo(msg structure.ResultMsg) *LinkInfo { if msg.RuleResult["yolo"] != nil && len(msg.RuleResult["yolo"].([]structure.Result)) > 0 { // 先判断一下数据带的规则标签是否有可以插入的 flag := false for _, res := range msg.RuleResult["yolo"].([]structure.Result) { //logger.Info("定时器打的数字标签:",res.Others.TimeLabel) if res.Others.TimeLabel == "01" || res.Others.TimeLabel == "10" { flag = true } } if flag { logger.Info("插入Yolo组装数据") var sdkNames string = "" alarmRules := []AlarmRule{} var targetInfos []Target url := []string{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10" { // 拼出sdkname //logger.Info("应该进来才对的") sdkNames = sdkNames + yoloResult.SdkName alarm := ChangeToString(yoloResult.DefenceState, yoloResult.AlarmLevel) linkInfo := "" if yoloResult.IsLink { linkInfo = "联动任务" } alarmRules = append(alarmRules, AlarmRule{yoloResult.RuleGroupId, alarm, yoloResult.RuleText, yoloResult.DefenceState, linkInfo}) // 上传缓存数据的图片拿到url if yoloResult.Others.CacheData != nil { //InsertYolo(msg.RuleResult["cacheData"].(ruleserver.ResultMsg)) // 把缓存的数据上传后得到地址存进去 // 解压缩并上传图片 msgs := yoloResult.Others.CacheData for _, msg1 := range msgs { bdata, err := util.UnCompress(msg1.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) resp1, err1 := util.DrawPolygonOnImageForYolo(msg1.Cid, i, msg1.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err1 != nil { logger.Error("缓存数据画框或上传图片服务器出错", err) } else { logger.Info("上传的图片信息:", resp1) } if resp1["fileUrl"] != nil { url = append(url, resp1["fileUrl"].(string)) } } } // 装配目标信息数据 for _, target := range yoloResult.AlarmObj { // 去重添加 var flag = true for _, selectTarget := range targetInfos { if target.Id == selectTarget.TargetId { flag = false break } } if flag { var target1 = new(Target) target1.TargetId = target.Id target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) } } } } isAlarm := false resp := make(map[string]interface{}) // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) if len(alarmRules) > 0 { isAlarm = true //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err != nil { logger.Error("画框或上传图片服务器出错", err) return nil } else { logger.Info("上传的图片信息:", resp) } } else { isAlarm = false // 不是报警数据不存 return nil } if resp["fileUrl"] != nil { url = append(url, resp["fileUrl"].(string)) //esDataId := uuid.NewV4().String() pervideo := &LinkInfo{ msg.Push.PushId + "-" + uuid.NewV4().String(), msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, i.Timestamp, []string{resp["fileUrl"].(string)}, msg.Tasklab.Taskid, msg.Tasklab.Taskname, "人脸", "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), // 只检测,没有比对时间 "", "", "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", isAlarm, false, false, false, nil, targetInfos, } return pervideo } else { return nil } } else { logger.Debug("timeLabel条件都不符合!") return nil } } else { return nil } }