panlei
2019-12-16 1a25fb445f732f1969c336017b55aafb9988ce69
insertdata/insertDataToEs.go
@@ -1,915 +1,41 @@
package insertdata
import (
   "basic.com/valib/logger.git"
   "encoding/base64"
   "encoding/json"
   "errors"
   "net"
   "plugin"
   "ruleprocess/cache"
   "basic.com/valib/logger.git"
   "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"`
   ShowLables      string                `json:"showLables"`
   OtherLables     string                `json:"otherLables"`
   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"`
   ShowLables      string                `json:"showLables"`
   OtherLables     string                `json:"otherLables"`
   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"`
   FaceFeature    string  `json:"faceFeature"`
   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"`
}
//  yolo行为的数据结构
//type Personaction struct {
//   Id              string      `json:"id"`
//   CameraId        string      `json:"cameraId"`
//   CameraName      string      `json:"cameraName"`
//   CameraAddr      string      `json:"cameraAddr"`
//   TaskId          string      `json:"taskId"`
//   TaskName        string      `json:"taskName"`
//   SdkName         string      `json:"sdkName"`
//   Content         string      `json:"content"`
//   AlarmRules      []AlarmRule `json:"alarmRules"`
//   AnalyServerId   string      `json:"analyServerId"`
//   AnalyServerName string      `json:"analyServerName"`
//   AnalyServerIp   string      `json:"analyServerIp"`
//   ClusterId       string      `json:"clusterId"`
//   PicSmUrl        []string    `json:"picSmUrl"`
//   PicDate         string      `json:"picDate"`
//   VideoUrl        string      `json:"videoUrl"`
//   IsAlarm         int         `json:"isAlarm"`
//   IsAckAlarm      int         `json:"isAckAlarm"`
//   IsCollect       int         `json:"isCollect"`
//   IsDelete        int         `json:"isDelete"`
//   TargetInfo      []Target    `json:"targetInfo"`
//   LinkTag         string      `json:"linkTag"`
//   LinkTagInfo     []*LinkInfo `json:"linkTagInfo"`
//}
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
}
//var weedfsUrl, videoPersonUrl, personAction string
//var serverIp string
//var serverPort string
func InsertToEs(msg structure.ResultMsg) {
   //defer func() {
   //   if err := recover(); err != nil {
   //      logger.Error("es模块儿的异常捕获:", err)
   //   }
   //}()
   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)
   weedfsUrl := "http://" + localConfig1.WebPicIp + ":" + strconv.Itoa(int(localConfig1.WebPicPort)) + "/submit"
   videoPersonUrl := "http://" + localConfig1.AlarmIp + ":" + strconv.Itoa(int(localConfig1.AlarmPort)) + "/" + structure.EsInfo.EsIndex.AIOcean.IndexName + "/" + structure.EsInfo.EsIndex.AIOcean.IndexType+"?refresh=true"
   serverIp := localConfig1.AlarmIp
   serverPort := strconv.Itoa(int(localConfig1.AlarmPort))
   handle(msg,weedfsUrl,videoPersonUrl,serverIp,serverPort)
}
// 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.FaceFeature = base64.StdEncoding.EncodeToString(face.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)
                  pervideo := PerVideoPicture{
                     face.Uuid,
                     msg.Cid,
                     msg.Push.Cam.Addr,
                     msg.Push.Cam.Name,
                     picTime,
                     imgMaxUrl,
                     msg.Tasklab.Taskid,
                     msg.Tasklab.Taskname,
                     "人脸",
                     time.Now().Format("2006-01-02 15:04:05"),
                     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(人脸):", 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,
                  nil,
                  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)
func handle (msg structure.ResultMsg,weedfsUrl,videoPersonUrl,serverIp,serverPort string) {
   p,err :=  plugin.Open("./algorithm/middleware.so")
   if err != nil {
      panic("解压缩图片时出现错误")
      panic(err)
   }
   i := protomsg.Image{}
   err = proto.Unmarshal(bdata, &i)
   resp1, err1 := util.DrawPolygonOnImageForTarget(msg.Cid, i, msg.RuleResult["target"].([]structure.Result), weedfsUrl)
   f,err1 := p.Lookup("InsertToEs")
   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)
      panic("没有找到中间件的格式化数据函数")
   }
   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
      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" + "/" + cache.GetDic("nCarLogo"+strconv.Itoa(int(obj.Car.NCarLogo))) + "/" + cache.GetDic("nCarLogo"+strconv.Itoa(int(obj.Car.NCarType)))
      lableAttach = 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
   }
   f.(func(msg structure.ResultMsg,weedfsUrl,videoPersonUrl,serverIp,serverPort string))(msg,weedfsUrl,videoPersonUrl,serverIp,serverPort)
}