派生自 ruleprocess
ruleserver/ruleToformula.go
@@ -89,8 +89,8 @@ triggerLine string directionLine string targetNum int // 区域内目标数量 args []Arg // 区域内目标集合 filterData []Arg // 过滤后区域内目标集合 args []*Arg // 区域内目标集合 filterData []*Arg // 过滤后区域内目标集合 time string // 当前时间（用以匹配时间规则） keepRight bool // 是否靠右行 isStatic bool // 是否静止 @@ -115,7 +115,7 @@ IsStatic bool // 是否静止 ImageWidth int // 摄像机拍摄的图像宽 像素 ImageHeight int // 摄像机拍摄的图像高 像素 AreaMapList []AreaMap // 本sdk提取的数据按照区域划分后的数据集合 AreaMapList []*AreaMap // 本sdk提取的数据按照区域划分后的数据集合 } // 从算法模块儿拿来的对一帧图像各个算法提取的数据集合 @@ -135,12 +135,13 @@ // 过规则库打上的标签 type Result struct { TaskId string // 任务id SdkName string RuleGroupId string // 规则组id AlarmLevel int32 // 报警等级 RuleText string // 文字版规则组 Location []Rect TaskId string // 任务id SdkName string RuleGroupId string // 规则组id AlarmLevel int32 // 报警等级 RuleText string // 文字版规则组 Location []Rect // 目标的坐标 AlarmPolygon string // 触发的报警框 } type LittleRuleResult struct { SdkName string // 记录下此结果是哪个sdk的结果 @@ -180,7 +181,7 @@ areaMap := AreaMap{cameraId: cameraId, areaId: polygon.Id, areaJson: polygon.Polygon, triggerLine: polygon.TriggerLine, directionLine: polygon.DirectionLine} // 为每个摄像机区域填充数据 areaMap.CountAreaObjs(arg) arg.AreaMapList = append(arg.AreaMapList, areaMap) arg.AreaMapList = append(arg.AreaMapList, &areaMap) } } @@ -222,6 +223,27 @@ } } } // 给目标填充liker func (arg *Arg) fillLiker() { bytes := bigCache.Getdbpersonmsg("", arg.Feature, true) var m map[string]float32 err1 := json.Unmarshal(bytes, &m) if err1 != nil { logger.Error("getBaseInfo解压错误", err1) } logger.Info("----------------------------------------map是", m) for key, val := range m { logger.Info("_______________________________________对比库的返回值", key, val) baseinfo, err1 := esutil.Dbpersoninfosbyid(key) if err1 != nil { logger.Error("查询底库人员信息出错", err1) } baseinfo.CompareScore = val arg.Liker = append(arg.Liker, &baseinfo) } //logger.Info("------------------第一次看args:",*arg) } func Compare(args *SdkDatas, groupRule *protomsg.GroupRule) { compareFlag := 0 tableIds := "" @@ -253,44 +275,18 @@ if groupRule.Rules[j].PolygonId == areaMap.areaId { for _, arg := range areaMap.args { if compareFlag == 1 { bytes := bigCache.Getdbpersonmsg("", arg.Feature, true) var m map[string]float32 err1 := json.Unmarshal(bytes, &m) if err1 != nil { logger.Error("getBaseInfo解压错误", err1) } logger.Info("----------------------------------------map是", m) for key, val := range m { logger.Info("_______________________________________对比库的返回值", key, val) baseinfo, err1 := esutil.Dbpersoninfosbyid(key) if err1 != nil { logger.Error("查询底库人员信息出错", err1) } baseinfo.CompareScore = val arg.Liker = append(arg.Liker, &baseinfo) } arg.fillLiker() } if compareFlag == 2 { array := strings.Split(tableIds, ",") for i := 0; i < len(array)-1; i++ { bytes := bigCache.Getdbpersonmsg(array[i], arg.Feature, true) var m map[string]float32 err1 := json.Unmarshal(bytes, &m) if err1 != nil { logger.Error("getBaseInfo解压错误", err1) } for key, val := range m { baseinfo, err1 := esutil.Dbpersoninfosbyid(key) if err1 != nil { logger.Error("查询底库人员信息出错", err1) } baseinfo.CompareScore = val arg.Liker = append(arg.Liker, &baseinfo) } arg.fillLiker() } } logger.Info("-------------------成功给liker赋值,长度为：", len(arg.Liker)) } areaMap.filterData = areaMap.args //logger.Info("=======第一次看args：",(areaMap.filterData)) } } } @@ -308,6 +304,7 @@ Compare(args, groupRule) resultSplice := []*LittleRuleResult{} sdkNames := "" polygonId := "" // 先过完条件规则 for j := 0; j < len(groupRule.Rules); j++ { for _, sdkData := range args.Sdkdata { @@ -318,16 +315,21 @@ } ipcId := sdk.IpcId sdkName := sdk.SdkName logger.Info("规则的ipcId与sdkData的IpcId:", ipcId, "===", sdkData.IpcId) if ipcId == sdkData.IpcId { logger.Info("当前走的规则的算法是--：", sdkName, "---") logger.Info("========================有几个区域：",len(sdkData.AreaMapList)) for _, areaMap := range sdkData.AreaMapList { ruleResult := filterRule(groupRule.Rules[j], &areaMap) ruleResult := filterRule(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("条件规则结果：", ruleResult.Result) // 如果此结果为真且当前过的是yolo算法，应记下此规则所对应的sdkName,另外，还要去重 if ruleResult.Result == "true" && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { // 如果此结果为真且当前过的是yolo算法，应记下此规则所对应的sdkName,另外，还要去重 (后加：把此条触碰的区域id也记录下来) if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { sdkNames = sdkName + "," polygonId = groupRule.Rules[j].PolygonId + "," } if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(polygonId, groupRule.Rules[j].PolygonId) { polygonId = groupRule.Rules[j].PolygonId + "," } resultSplice = append(resultSplice, &ruleResult) } @@ -348,11 +350,14 @@ sdkName := sdk.SdkName if ipcId == sdkData.IpcId { for _, areaMap := range sdkData.AreaMapList { ruleResult := transferParameters(groupRule.Rules[j], &areaMap) ruleResult := transferParameters(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("数量规则结果：", ruleResult.Result) if ruleResult.Result == "true" && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { sdkNames = sdkName + "," } if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(polygonId, groupRule.Rules[j].PolygonId) { polygonId = groupRule.Rules[j].PolygonId + "," } resultSplice = append(resultSplice, &ruleResult) } @@ -371,11 +376,14 @@ sdkName := sdk.SdkName if ipcId == sdkData.IpcId { for _, areaMap := range sdkData.AreaMapList { ruleResult := timeRuleResult(groupRule.Rules[j], &areaMap) ruleResult := timeRuleResult(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("时间规则结果：", ruleResult.Result) if ruleResult.Result == "true" && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { sdkNames = sdkName + "," } if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(polygonId, groupRule.Rules[j].PolygonId) { polygonId = groupRule.Rules[j].PolygonId + "," } resultSplice = append(resultSplice, &ruleResult) } @@ -394,7 +402,7 @@ if ipcId == sdkData.IpcId { for _, areaMap := range sdkData.AreaMapList { // 去开启一个定时器 duration(groupRule.Rules[j], groupRule.GroupId, &areaMap, args) duration(groupRule.Rules[j], groupRule.GroupId, areaMap, args) } } } @@ -461,7 +469,7 @@ for _, sdkData := range args.Sdkdata { if sdkData.IpcId == "A8B73405-373D-4F23-CED2-A617EBD7EC55" && faceFlag { // sdkData里有人脸数据且配置了算法才把符合条件的数据塞进标签里去 for _, areaMap := range sdkData.AreaMapList { faces = append(faces, putFaceToResult(&areaMap)...) faces = append(faces, putFaceToResult(areaMap)...) } } } @@ -474,12 +482,12 @@ for _, sdkData := range args.Sdkdata { if sdkData.IpcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && sdkNames != "" { // 把yolo数据的各个目标的坐标输出方便后面画框 for _, areaMap := range sdkData.AreaMapList { locations = append(locations, putYolosToResult(&areaMap)...) locations = append(locations, putYolosToResult(areaMap)...) } } } if sdkNames != "" { args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, sdkNames, groupRule.GroupId, groupRule.AlarmLevel, groupRule.GroupText, locations}) args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, sdkNames, groupRule.GroupId, groupRule.AlarmLevel, groupRule.GroupText, locations,polygonId}) logger.Info("-------------------yolo结果标签", args.RuleResult["yolo"].([]Result)) } if args.RuleResult["face"] != nil { @@ -494,7 +502,7 @@ return false } } func TimerAlarm(groupId string) (int){ func TimerAlarm(groupId string) (int) { var flagTime int = 0 for k, timeEle := range TimeEleList { if strings.Contains(k, groupId) { @@ -516,7 +524,7 @@ faces := []Arg{} if len(am.filterData) > 0 { for _, data := range am.filterData { faces = append(faces, data) faces = append(faces, *data) } } @@ -553,8 +561,8 @@ a.targetNum++ arg1 := Arg{obj.Score, PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale), float64(obj.Rects.Width * obj.Rects.Height), obj.IsYolo, obj.Rects, obj.Feature, obj.ThftRes, []*protomsg.Baseinfo{}} //logger.Println("放进去的arg：-------", arg1) a.args = append(a.args, arg1) a.filterData = append(a.filterData, arg1) a.args = append(a.args, &arg1) a.filterData = append(a.filterData, &arg1) } } a.time = time.Unix(time.Now().Unix(), 0).String()[11:16] @@ -651,7 +659,7 @@ result, _ := expression.Evaluate(nil) // 得到数学公式的结果 if result.(bool) { logger.Info("___________________________________________________________________联动任务报警") args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, "", groupRule.GroupId, groupRule.AlarmLevel, groupRule.GroupText, []Rect{}}) args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, "", groupRule.GroupId, groupRule.AlarmLevel, groupRule.GroupText, []Rect{},""}) logger.Info("-------------------yolo结果标签有几个", len(args.RuleResult["yolo"].([]Result))) if args.RuleResult["face"] != nil { logger.Info("-------------------face结果标签有几个", len(args.RuleResult["face"].([]Arg))) @@ -722,7 +730,7 @@ // 如果是不规矩的连接符统统返回false 规则也只能判断人脸的相似度，所以不存在别的连接符 if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" { // 判断的是相似值，占比，尺寸等过滤条件，如果再有，还可以再加 logger.Info("--------------------终于等到你的下文") var args []Arg var args []*Arg if rule.RuleWithPre == "&&" { args = am.filterData } else { @@ -771,7 +779,7 @@ if rule.PolygonId == am.areaId { // 首先这条规则得是这个算法的规则，其次规则所对应的区域id要跟区域数据的id对的上 if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" { // 判断的是相似值，占比，尺寸等过滤条件，如果再有，还可以再加 logger.Info("----------当前条件规则：---------", rule) var args []Arg var args []*Arg if rule.RuleWithPre == "&&" { args = am.filterData } else {
