~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"
			"encoding/json"
			"fmt"
			"github.com/go-yaml/yaml"
			"io/ioutil"
			"ruleprocess/cache"
			"ruleprocess/logger"
			"strconv"
			"time"
			)
			var serverIp,serverPort,dbTablePersons 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 Init() {
			data, err := ioutil.ReadFile("./config/conf.yml")
			if err != nil {
			fmt.Println("读取配置文件出错--", err)
			logger.Error("读取配置文件出错--", err)
			}
			c := conf{}
			//把yaml形式的字符串解析成struct类型
			yaml.Unmarshal(data, &c)
			logger.Debug("配置文件的值为：",c)
			serverIp = c.ServerIp
			serverPort = c.ServerPort
			dbTablePersons = c.DbTablePersons
			localConfig, err1 := cache.GetServerInfo()
			if err1 != nil {
			logger.Error("查询本机信息失败！")
			}
			logger.Debug("本机信息和server信息：",localConfig,serverIp,serverPort)
			bigCache.Init(dbTablePersons,serverIp,serverPort,localConfig.ServerId)
			}

			type BaseInfo struct {
			TableId string `json:"tableId"`
			TableName string `json:"tableName"`
			BwType string `json:"bwType"`
			CompareScore float64 `json:"compareScore"`
			PersonId string `json:"personId"`
			PersonName string `json:"personName"`
			PersonPicUrl string `json:"personPicUrl"`
			PhoneNum string `json:"phoneNum"`
			Sex string `json:"sex"`
			IdCard string `json:"idCard"`
			MonitorLevel string `json:"monitorLevel"`
			Content string `json:"content"`
			}
			// 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,taskId string) *protomsg.TaskGroupArgs {
			all := cache.GetCameraTaskRulesByCameraId(cameraId)
			//logger.Info("==================所有的任务的规则组：",all)
			var taskGroup *protomsg.TaskGroupArgs
			for _,task := range all {
			if task.TaskId == taskId {
			taskGroup = task
			}
			}
			return taskGroup
			}
			// 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)(float64) {
			s:= strconv.FormatFloat(float64(f), 'f', 4, 64)
			v, err := strconv.ParseFloat(s, 64)
			if err != nil {
			logger.Error("保留四位小数转换错误")
			}
			// float32与float64互转会有位数保留不准的问题
			return 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(tableId []string,compareThreshold float32) {
			bytes := bigCache.GetComparePersonBaseInfo(tableId,arg.Feature,compareThreshold)
			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)
			}
			logger.Info("------------------------------------------------------------------------------------------------------------------------")
			logger.Info("=====================人员id的集合为：",ids)
			if len(ids) > 0 {
			baseinfos, err1 := esutil.Dbpersoninfosbyid(ids,dbTablePersons,serverIp,serverPort)
			if err1 != nil {
			logger.Error("查询底库人员信息出错", err1)
			}
			for _,baseinfo := range baseinfos {
			// 根据tableId查询底库信息给liker赋值
			logger.Info("---------看看每个底库人员的信息：",baseinfo.Id,baseinfo.PersonName)
			var tableIds []string
			tableIds = append(tableIds,baseinfo.TableId) // 虽然是传入数组返回数组的接口，但我按单个的使用了
			table,err := esutil.Dbtablefosbyid(tableIds,"dbtables",serverIp,serverPort)
			if err != nil \|\| len(table) == 0{
			logger.Error("根据id查询底库信息出错！",err,"--返回值长度为：",len(table))
			}
			base := BaseInfo{TableId:baseinfo.TableId,TableName:table[0].TableName,BwType:table[0].BwType,CompareScore:Retain(m[baseinfo.Id]),PersonId:baseinfo.Id,PersonName:baseinfo.PersonName,PersonPicUrl:baseinfo.PersonPicUrl,PhoneNum:baseinfo.PhoneNum,Sex:baseinfo.Sex,IdCard:baseinfo.IdCard,MonitorLevel:baseinfo.MonitorLevel,Content:baseinfo.Reserved}
			//logger.Debug("看看这个base的对比值是多少：",base)
			//os.Exit(1)
			arg.Liker = append(arg.Liker, &base)
			}
			}

			}
			// 人脸比对
			func Compare(args SdkDatas, groupRule protomsg.GroupRule) {
			compareFlag := 0
			var tableIds []string
			var threshold float32 = 0.5 // 默认阈值为0.5
			// 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不是配的全部底库
			compareFlag = 2
			tableIds = append(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
			}
			if groupRule.Rules[j].SdkArgAlias == "threshold" {
			v2, err := strconv.ParseFloat(groupRule.Rules[j].SdkArgValue, 32)
			if err != nil {
			logger.Error("string转float32失败！")
			}
			threshold = float32(v2)
			}
			}
			}
			// 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
			}
			logger.Debug("=====配置的阈值为：",threshold)
			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 {
			// 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的值和tableId和areaMap.args的长度：",compareFlag,tableIds,len(areaMap.args))
			for _, arg := range areaMap.args {
			if compareFlag == 1 {
			arg.fillLiker(nil,threshold)
			}
			if compareFlag == 2 {
			arg.fillLiker(tableIds,threshold)
			}
			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))
			}
			}
			}
			return // 比完一次就出去，防止再比第二遍造成重复，因为确实可以有两个人脸比对的小规则，一个底库，一个阈值
			}
			}
			}

			// 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, []*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)
			}
			}