~jinersong/ruleprocess.git

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			package ruleserver

			import (
			"basic.com/pubsub/cache.git/esutil"
			bigCache "basic.com/pubsub/cache.git"
			"basic.com/pubsub/protomsg.git"
			"basic.com/pubsub/sdkcompare.git"
			"encoding/json"
			"fmt"
			"ruleprocess/cache"
			"ruleprocess/logger"
			"strconv"
			"strings"
			"time"
			)
			func init() {
			bigCache.Init()
			}

			// 以摄像机id查出跟其相关的所有任务下的所有规则组
			func GetRuleGroup(cameraId string) []*protomsg.TaskGroupArgs {
			all := cache.GetCameraTaskRulesByCameraId(cameraId)
			return all
			}
			// 根据摄像机id拿到摄像机所有区域
			func GetPolygons(cameraId string) []protomsg.CameraPolygon {
			var cameraPolygons []protomsg.CameraPolygon
			cameraPolygons = cache.GetPolygonsByCameraId(cameraId)
			logger.Debug("------=======查看下全部区域：",cameraPolygons)
			return cameraPolygons
			}

			// 保留四位小数
			func Retain(f float32)(float32) {
			s:= strconv.FormatFloat(float64(f), 'f', 4, 64)
			v, err := strconv.ParseFloat(s, 32)
			if err != nil {
			logger.Error("保留四位小数转换错误")
			}
			return float32(v)
			}

			// 取出某个时间规则的第几天的规则段集合
			func GetTimeById(id string, index int) []TimeRange {
			_, cameraTimeRule := cache.GetTimeRuleById(id)
			var timeRangeList []day
			err := json.Unmarshal([]byte(cameraTimeRule.TimeRule), &timeRangeList)
			if err != nil {
			logger.Error("取时间规则时反序列化错误！")
			}
			for _, timerange := range timeRangeList {
			if timerange.Day == index {
			//logger.Println("取到的时间规则：", timerange.TimeRange)
			return timerange.TimeRange
			}
			}
			return nil
			}


			// 根据传入的字符串得到其在一周内的索引周一到周日分别对应1到7
			func getIndexOfWeek(weekday string) int {
			var weekdays = [7]string{"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"}
			for k, value := range weekdays {
			if value == weekday {
			return k + 1 // 因为数据库中存的是1-7代表的周一到周日
			}
			}
			return 0
			}

			type TimeRange struct {
			Start string `json:"start"`
			End string `json:"end"`
			}
			type day struct {
			Day int `json:"day"` // 标示当前星期几
			TimeRange []TimeRange `json:"time_range"` // 当天的几个时间段
			}

			// 将字符串格式的坐标序列化为Point格式
			func Json2points(areaPoints string) []Point {
			var pts []Point
			if areaPoints == "[]" \|\| areaPoints == ""{
			logger.Error("=====================此区域为全部区域")
			pts = append(pts, Point{0, 0})
			pts = append(pts, Point{0, 540})
			pts = append(pts, Point{960, 540})
			pts = append(pts, Point{960, 0})
			} else {
			err := json.Unmarshal([]byte(areaPoints), &pts)
			if err != nil {
			logger.Error("json.Unmarshal错误", err)
			panic("序列化坐标异常，程序退出")
			}
			}
			return pts
			}

			// 给目标填充liker
			func (arg *Arg) fillLiker() {
			bytes := sdkcompare.GetComparePersonBaseInfo(nil, arg.Feature, 70)
			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)
			ids := []string{}
			for key,_ := range m {
			ids = append(ids,key)
			}
			baseinfos, err1 := esutil.Dbpersoninfosbyid(ids)
			if err1 != nil {
			logger.Error("查询底库人员信息出错", err1)
			}
			fmt.Println("底库人员信息：",baseinfos)
			//baseinfo.CompareScore = Retain(val)
			//arg.Liker = append(arg.Liker, &baseinfo)
			//logger.Info("------------------第一次看args:",*arg)
			}
			// 人脸比对
			func Compare(args SdkDatas, groupRule protomsg.GroupRule) {
			compareFlag := 0
			tableIds := ""
			// 看看是否有只配人脸比对算法但没有配对比库的规则，如果有，则比对对象为全部底库
			for j := 0; j < len(groupRule.Rules); j++ {
			if groupRule.Rules[j].SdkId == "812b674b-2375-4589-919a-5c1c3278a972" { // 配了人脸比对
			if groupRule.Rules[j].SdkArgAlias == "compareBase" && groupRule.Rules[j].SdkArgValue != "" { // 配了比对底库的参数但没有配全部底库
			compareFlag = 2
			tableIds = groupRule.Rules[j].SdkArgValue + "," // 最后会多一个tableId，切出来的数组取len-1就可以
			}
			if groupRule.Rules[j].SdkArgAlias == "compareBase" && groupRule.Rules[j].SdkArgValue == "" { // 配的参数是比对全部底库
			compareFlag = 1
			}
			}
			}
			// 为了测试作下弊，直接让其比对全部底库
			//compareFlag = 1
			if compareFlag == 0 {
			logger.Info("没有配置对比底库参数")
			return
			}
			for j := 0; j < len(groupRule.Rules); j++ {
			if groupRule.Rules[j].SdkId == "812b674b-2375-4589-919a-5c1c3278a972" {
			for _, sdkData := range args.Sdkdata {
			if sdkData.IpcId == "A8B73405-373D-4F23-CED2-A617EBD7EC55" { // 搜索到人脸检测的sdkdata 现在关于人脸的只有他一个sdk，全找他
			logger.Info("============================================进行人脸对比")
			for _, areaMap := range sdkData.AreaMapList {
			logger.Info("-------------人脸比对之前目标数量",len(areaMap.args))
			// 拿区域中每个人脸特征值去对比，填充其liker
			if groupRule.Rules[j].PolygonId == areaMap.areaId {
			logger.Info("--------------看看compareFlag的值：",compareFlag)
			for _, arg := range areaMap.args {
			if compareFlag == 1 {
			arg.fillLiker()
			}
			if compareFlag == 2 {
			array := strings.Split(tableIds, ",")
			logger.Info("--------------------------看看对比底库的值;",array)
			for i := 0; i < len(array)-1; i++ {
			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))
			}
			logger.Info("-------------------------------人脸对比之后的目标数量",len(areaMap.args))
			}
			}
			}
			}
			}
			}

			// 计算区域内的目标数量以及将相似度、占比、尺寸等打包
			func (a AreaMap) CountAreaObjs(arg SdkData) {

			a.targetNum = 0
			threshold := 0.0 // 相似度
			intersectionper := 0.2 // 占比
			size := 0.0 // 尺寸

			areaPoints := Json2points(a.areaJson)
			widthScale := float64(arg.ImageWidth / 960)
			heigthScale := float64(arg.ImageHeight / 540)
			for _, obj := range arg.Photo {
			//logger.Info("------------------看看sdkData:", arg.SdkName, "的Photo数据----------------", obj, "----顺便看看占比-----：", PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale))
			if threshold <= obj.Score && size <= float64(obj.Rects.Width*obj.Rects.Height) && intersectionper <= PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale) {
			// 这步要备齐表达式里所需要的所有参数
			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.time = time.Unix(time.Now().Unix(), 0).String()[11:16]
			a.keepRight = arg.KeepRight
			a.isStatic = arg.IsStatic
			//logger.Println("--------------------看看区域数据：",*a)
			}

			// 把sdk从数据帧上提取的按照区域分类归置
			func SdkDataFormat(cameraId string, arg *SdkData, cameraPolygons []protomsg.CameraPolygon) {
			logger.Info("==================================本sdkData中解出来的目标数据=======================================")
			for _, photo := range arg.Photo {
			logger.Info("--------解析出来的数据---", cameraId, arg.IpcId, photo.Rects, photo.Score)
			}
			for _, polygon := range cameraPolygons {
			//logger.Println("++++++在这儿看一下区域啊:", polygon.Polygon)
			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)
			}
			}