package main
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import (
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"basic.com/pubsub/protomsg.git"
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"basic.com/valib/logger.git"
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"github.com/knetic/govaluate"
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"ruleprocess/structure"
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"strconv"
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)
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// 车牌算法
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func Entrance(rule *protomsg.Rule, am *structure.AreaMap,lable *structure.Others,args *structure.SdkDatas,message *protomsg.SdkMessage) structure.LittleRuleResult {
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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
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if rule.SdkArgAlias != "nCarCount" && rule.SdkArgAlias != "nCarLogoCount" {
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logger.Info("过滤车牌信息")
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return filterRule(rule, am)
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} else {
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logger.Info("计算车牌车辆数量") // 目前只能检测出车牌数量
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return transferParameters(rule, am)
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}
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} else {
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return structure.LittleRuleResult{}
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}
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}
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// 过滤规则先筛选出符合条件的目标数量
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func filterRule(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult {
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// 处理的都是yolo数据
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carFlag := rule.SdkArgAlias == "license" || rule.SdkArgAlias == "nColor" || rule.SdkArgAlias == "nConfidence" ||
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rule.SdkArgAlias == "nBright" || rule.SdkArgAlias == "nTime" || rule.SdkArgAlias == "nCarBright" || rule.SdkArgAlias == "nCarColor" ||
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rule.SdkArgAlias == "nCarLogo" || rule.SdkArgAlias == "nCarType" || rule.SdkArgAlias == "nCarModel" || rule.SdkArgAlias == "nCarModelConfidence"
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if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" || carFlag{ // 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
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logger.Debug("---------走了车牌识别过滤算法",rule.Id,rule.SdkArgAlias,rule.Operator,rule.SdkArgValue,am.AreaId)
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var args []*structure.Arg
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if rule.RuleWithPre == "&&" {
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args = am.FilterData
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} else {
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args = am.Args
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}
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// 先清空过滤后的数据，再往里塞本次过滤后的数据
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am.FilterData = am.FilterData[0:0]
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//logger.Debug("看看args：：：：：", args)
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for _, arg := range args {
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var formula string
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switch rule.SdkArgAlias {
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case "score":
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formula = strconv.FormatFloat(arg.Score, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("当前相似度小公式：", formula)
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case "proportion":
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formula = strconv.FormatFloat(arg.Proportion, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("占比公式：", formula)
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case "size":
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formula = strconv.FormatFloat(arg.Size, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("尺寸小公式：", formula)
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case "license":
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formula = arg.Car.License + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("当前车牌号码小公式：", formula)
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case "nColor":
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formula = strconv.Itoa(int(arg.Car.NColor)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车牌颜色小公式：", formula)
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case "nConfidence":
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formula = strconv.Itoa(int(arg.Car.NConfidence)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("整牌可信度小公式：", formula)
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case "nBright":
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formula = strconv.Itoa(int(arg.Car.NBright)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车牌亮度评价小公式：", formula)
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case "nDirection":
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formula = strconv.Itoa(int(arg.Car.NDirection)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车牌运动方向小公式：", formula)
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case "nTime":
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formula = strconv.Itoa(int(arg.Car.NTime)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("识别耗时小公式：", formula)
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case "nCarBright":
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formula = strconv.Itoa(int(arg.Car.NCarBright)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车的亮度小公式：", formula)
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case "nCarColor":
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formula = strconv.Itoa(int(arg.Car.NCarColor)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车的颜色小公式：", formula)
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case "nCarLogo":
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formula = strconv.Itoa(int(arg.Car.NCarLogo)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车标类型小公式：", formula)
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case "nCarType":
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formula = strconv.Itoa(int(arg.Car.NCarType)) + " " + rule.Operator + " " + rule.SdkArgValue
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logger.Info("车辆类型小公式：", formula)
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//case "nCarModel":
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// formula = strconv.Itoa(int(arg.Car.ncm)) + " " + rule.Operator + " " + rule.SdkArgValue
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// logger.Info("识别成功与否小公式：", formula)
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//case "nCarModelConfidence":
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// formula = strconv.Itoa(int(arg.Car.NCarModelConfidence)) + " " + rule.Operator + " " + rule.SdkArgValue
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// logger.Info("车型可信度小公式：", formula)
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}
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expression, _ := govaluate.NewEvaluableExpression(formula) // 得到数学公式
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result, _ := expression.Evaluate(nil) // 得到数学公式的结果
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if result.(bool) {
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am.FilterData = append(am.FilterData, arg) // 得到符合条件的过滤数据
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}
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}
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am.TargetNum = len(am.FilterData) // 把符合条件的目标数量更新到targetNum字段
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if am.TargetNum > 0 {
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return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort}
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} else {
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return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort}
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}
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} else if rule.SdkArgAlias == "" {
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if am.TargetNum > 0 {
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return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort}
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} else {
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return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort}
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}
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}
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return structure.LittleRuleResult{}
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}
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// 给数据库的规则表达式代参 args: 一条子规则，区域数据
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func transferParameters(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult {
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//logger.Info("当前小规则是：---------", rule)
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//logger.Info("得出结果阶段", "比较的规则是：", rule)
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if rule.Operator == "" {
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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
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}
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//args := am.targetNum targetNum 已成所有目标的总数量，这里只算yolo的
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var num int = len(am.FilterData)
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formula := strconv.Itoa(num) + " " + rule.Operator + " " + rule.SdkArgValue
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expression, _ := govaluate.NewEvaluableExpression(formula) // 得到数学公式
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result, _ := expression.Evaluate(nil) // 得到数学公式的结果
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return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + " " + strconv.FormatBool(result.(bool)), rule.Sort}
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// 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
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}
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