| | |
| | | package intrusion |
| | | package main |
| | | |
| | | import ( |
| | | "basic.com/pubsub/protomsg.git" |
| | | logger "github.com/jeanphorn/log4go" |
| | | "github.com/knetic/govaluate" |
| | | "ruleprocess/logger" |
| | | "ruleprocess/structure" |
| | | "strconv" |
| | | ) |
| | | |
| | | func Entrance() { |
| | | |
| | | } |
| | | |
| | | // 过滤规则先筛选出符合条件的目标数量 |
| | | func filterRule(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult { |
| | | // 处理的都是yolo数据 |
| | | //入侵算法 |
| | | func Entrance(rule *protomsg.Rule, am *structure.AreaMap,lable *structure.Others,args *structure.SdkDatas,message *protomsg.SdkMessage) structure.LittleRuleResult { |
| | | 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 |
| | | var args []*structure.Arg |
| | | if rule.RuleWithPre == "&&" { |
| | | args = am.FilterData |
| | | } else { |
| | | args = am.Args |
| | | } |
| | | // 先清空过滤后的数据,再往里塞本次过滤后的数据 |
| | | am.FilterData = am.FilterData[0:0] |
| | | //logger.Debug("看看args:::::", args) |
| | | for _, arg := range args { |
| | | var formula string |
| | | if rule.SdkArgAlias == "score" { |
| | | formula = strconv.FormatFloat(arg.Score, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue // 得到字符串公式 |
| | | logger.Info("当前相似度小公式:", formula) |
| | | } else if rule.SdkArgAlias == "proportion" { |
| | | formula = strconv.FormatFloat(arg.Proportion, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue // 得到字符串公式 |
| | | logger.Info("当前占比小公式:", formula) |
| | | } else { |
| | | formula = strconv.FormatFloat(arg.Size, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue // 得到字符串公式 |
| | | logger.Info("当前尺寸小公式:", formula) |
| | | } |
| | | expression, _ := govaluate.NewEvaluableExpression(formula) // 得到数学公式 |
| | | result, _ := expression.Evaluate(nil) // 得到数学公式的结果 |
| | | if result.(bool) { |
| | | am.FilterData = append(am.FilterData, arg) // 得到符合条件的过滤数据 |
| | | } |
| | | } |
| | | am.TargetNum = len(am.FilterData) // 把符合条件的目标数量更新到targetNum字段 |
| | | if am.TargetNum > 0 { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort} |
| | | } else { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort} |
| | | } |
| | | |
| | | } else { |
| | | return structure.LittleRuleResult{} |
| | | } |
| | | |
| | | return filterRule(rule, am) |
| | | } else { |
| | | return structure.LittleRuleResult{} |
| | | } |
| | | } |
| | | |
| | | // 给数据库的规则表达式代参 args: 一条子规则,区域数据 |
| | | func transferParameters(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult { |
| | | if rule.PolygonId == am.AreaId { // 首先规则所对应的区域id要跟区域数据的id对的上 |
| | | if rule.SdkArgAlias == "objCount" { // 如果参数是要区域内目标数量 即yolo 人脸不会有数量 |
| | | //logger.Info("当前小规则是:---------", rule) |
| | | //logger.Info("得出结果阶段", "比较的规则是:", rule) |
| | | if rule.Operator == "" { |
| | | return structure.LittleRuleResult{am.SdkName, strconv.Itoa(am.TargetNum) + "" + rule.RuleWithPre, rule.Sort} // 如果后面不跟操作符就直接返回数量 比如要跟下一个区域比较数量的就直接返回本区域的数量 |
| | | // 过滤规则先筛选出符合条件的目标数量 |
| | | func filterRule(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult { |
| | | // 处理的都是yolo数据 |
| | | 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.Debug("---------走了入侵算法",rule.Id,rule.SdkArgAlias,rule.Operator,rule.SdkArgValue,am.AreaId) |
| | | var args []*structure.Arg |
| | | if rule.RuleWithPre == "&&" { |
| | | args = am.FilterData |
| | | } else { |
| | | args = am.Args |
| | | } |
| | | // 先清空过滤后的数据,再往里塞本次过滤后的数据 |
| | | am.FilterData = am.FilterData[0:0] |
| | | //logger.Debug("看看args:::::", args) |
| | | for _, arg := range args { |
| | | var formula string |
| | | switch rule.SdkArgAlias { |
| | | case "score": |
| | | formula = strconv.FormatFloat(arg.Score, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("相似度小公式:", formula) |
| | | case "proportion": |
| | | formula = strconv.FormatFloat(arg.Proportion, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("占比公式:", formula) |
| | | case "size": |
| | | formula = strconv.FormatFloat(arg.Size, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("尺寸小公式:", formula) |
| | | } |
| | | //args := am.targetNum targetNum 已成所有目标的总数量,这里只算yolo的 |
| | | var num int = 0 |
| | | for _, data := range am.FilterData { |
| | | if data.IsYolo { |
| | | num++ |
| | | } |
| | | } |
| | | formula := strconv.Itoa(num) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | expression, _ := govaluate.NewEvaluableExpression(formula) // 得到数学公式 |
| | | result, _ := expression.Evaluate(nil) // 得到数学公式的结果 |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + " " + strconv.FormatBool(result.(bool)), rule.Sort} |
| | | // 加上关于算法的判断条件,不能只有关于规则的,有的算法本身就是一个规则,如个体静止,靠右行,所以,拿到当前子规则的sdkid来判断是否是那些特殊的规则 |
| | | result, _ := expression.Evaluate(nil) // 得到数学公式的结果 |
| | | if result.(bool) { |
| | | am.FilterData = append(am.FilterData, arg) // 得到符合条件的过滤数据 |
| | | } |
| | | } |
| | | am.TargetNum = len(am.FilterData) // 把符合条件的目标数量更新到targetNum字段 |
| | | if am.TargetNum > 0 { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort} |
| | | } else { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort} |
| | | } |
| | | |
| | | } else if rule.SdkArgAlias == "" { |
| | | if am.TargetNum > 0 { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort} |
| | | } else { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort} |
| | | } |
| | | } |
| | | return structure.LittleRuleResult{} |
| | | } |
| | | } |