package ruleserver
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import (
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"basic.com/pubsub/cache.git/esutil"
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bigCache "basic.com/pubsub/cache.git"
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"basic.com/pubsub/protomsg.git"
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"encoding/json"
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"fmt"
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"github.com/go-yaml/yaml"
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"io/ioutil"
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"os"
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"ruleprocess/cache"
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"ruleprocess/logger"
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"strconv"
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"time"
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)
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var serverIp,serverPort,dbTablePersons string
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type conf struct {
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PhotoUrl string `yaml:"photoUrl"`
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VideoPersons string `yaml:"videoPersons"`
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PersonAction string `yaml:"personAction"`
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ServerIp string `yaml:"serverIp"`
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ServerPort string `yaml:"serverPort"`
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DbTablePersons string `yaml:"dbTablePersons"`
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}
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func Init() {
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data, err := ioutil.ReadFile("./config/conf.yml")
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if err != nil {
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fmt.Println("读取配置文件出错--", err)
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logger.Error("读取配置文件出错--", err)
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}
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c := conf{}
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//把yaml形式的字符串解析成struct类型
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yaml.Unmarshal(data, &c)
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logger.Debug("配置文件的值为：",c)
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serverIp = c.ServerIp
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serverPort = c.ServerPort
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dbTablePersons = c.DbTablePersons
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localConfig, err1 := cache.GetServerInfo()
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if err1 != nil {
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logger.Error("查询本机信息失败！")
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}
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logger.Debug("本机信息和server信息：",localConfig,serverIp,serverPort)
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bigCache.Init(dbTablePersons,serverIp,serverPort,localConfig.ServerId)
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}
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type BaseInfo struct {
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TableId string `json:"tableId"`
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TableName string `json:"tableName"`
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BwType string `json:"bwType"`
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CompareScore float64 `json:"compareScore"`
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PersonId string `json:"personId"`
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PersonName string `json:"personName"`
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PersonPicUrl string `json:"personPicUrl"`
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PhoneNum string `json:"phoneNum"`
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Sex string `json:"sex"`
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IdCard string `json:"idCard"`
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MonitorLevel string `json:"monitorLevel"`
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Content string `json:"content"`
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}
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// 以摄像机id查出跟其相关的所有任务下的所有规则组
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func GetRuleGroup(cameraId string,taskId string) *protomsg.TaskGroupArgs {
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all := cache.GetCameraTaskRulesByCameraId(cameraId)
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//logger.Info("==================所有的任务的规则组：",all)
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var taskGroup *protomsg.TaskGroupArgs
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for _,task := range all {
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if task.TaskId == taskId {
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taskGroup = task
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}
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}
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return taskGroup
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}
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// 根据摄像机id拿到摄像机所有区域
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func GetPolygons(cameraId string) []protomsg.CameraPolygon {
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var cameraPolygons []protomsg.CameraPolygon
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cameraPolygons = cache.GetPolygonsByCameraId(cameraId)
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logger.Debug("------=======查看下全部区域：",cameraPolygons)
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return cameraPolygons
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}
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// 保留四位小数
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func Retain(f float32)(float32) {
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s:= strconv.FormatFloat(float64(f), 'f', 4, 64)
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v, err := strconv.ParseFloat(s, 32)
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if err != nil {
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logger.Error("保留四位小数转换错误")
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}
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return float32(v)
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}
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// 取出某个时间规则的第几天的规则段集合
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func GetTimeById(id string, index int) []TimeRange {
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_, cameraTimeRule := cache.GetTimeRuleById(id)
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var timeRangeList []day
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err := json.Unmarshal([]byte(cameraTimeRule.TimeRule), &timeRangeList)
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if err != nil {
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logger.Error("取时间规则时反序列化错误！")
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}
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for _, timerange := range timeRangeList {
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if timerange.Day == index {
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//logger.Println("取到的时间规则：", timerange.TimeRange)
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return timerange.TimeRange
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}
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}
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return nil
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}
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// 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
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func getIndexOfWeek(weekday string) int {
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var weekdays = [7]string{"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"}
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for k, value := range weekdays {
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if value == weekday {
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return k + 1 // 因为数据库中存的是1-7代表的周一到周日
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}
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}
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return 0
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}
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type TimeRange struct {
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Start string `json:"start"`
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End string `json:"end"`
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}
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type day struct {
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Day int `json:"day"` // 标示当前星期几
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TimeRange []TimeRange `json:"time_range"` // 当天的几个时间段
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}
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// 将字符串格式的坐标序列化为Point格式
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func Json2points(areaPoints string) []Point {
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var pts []Point
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if areaPoints == "[]" || areaPoints == ""{
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logger.Error("=====================此区域为全部区域")
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pts = append(pts, Point{0, 0})
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pts = append(pts, Point{0, 540})
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pts = append(pts, Point{960, 540})
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pts = append(pts, Point{960, 0})
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} else {
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err := json.Unmarshal([]byte(areaPoints), &pts)
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if err != nil {
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logger.Error("json.Unmarshal错误", err)
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panic("序列化坐标异常，程序退出")
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}
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}
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return pts
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}
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// 给目标填充liker
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func (arg *Arg) fillLiker(tableId []string,compareThreshold float32) {
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fmt.Println("---------------------------------看看那三个混蛋：",dbTablePersons,serverIp,serverPort)
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bytes := bigCache.GetComparePersonBaseInfo(tableId,arg.Feature,compareThreshold)
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var m map[string]float32
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err1 := json.Unmarshal(bytes, &m)
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if err1 != nil {
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logger.Error("getBaseInfo解压错误", err1)
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}
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//logger.Info("----------------------------------------map是", m)
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ids := []string{}
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for key,_ := range m {
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ids = append(ids,key)
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}
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logger.Info("------------------------------------------------------------------------------------------------------------------------")
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logger.Info("=====================人员id的集合为：",ids)
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if len(ids) > 0 {
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baseinfos, err1 := esutil.Dbpersoninfosbyid(ids,dbTablePersons,serverIp,serverPort)
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if err1 != nil {
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logger.Error("查询底库人员信息出错", err1)
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}
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logger.Debug("----------------++++++++++++++++++++底库人员信息：",baseinfos)
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for _,baseinfo := range baseinfos {
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// 根据tableId查询底库信息给liker赋值
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logger.Info("---------看看每个底库人员的信息：",baseinfo.Id,baseinfo.PersonName)
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var tableIds []string
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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
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table,err := esutil.Dbtablefosbyid(tableIds,dbTablePersons,serverIp,serverPort)
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if err != nil {
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logger.Error("根据id查询底库信息出错！")
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}
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base := BaseInfo{TableId:baseinfo.TableId,TableName:table[0].TableName,BwType:table[0].BwType,CompareScore:float64(m[baseinfo.Id]),PersonId:baseinfo.Id,PersonName:baseinfo.PersonName,PersonPicUrl:baseinfo.PersonPicUrl,PhoneNum:baseinfo.PhoneNum,Sex:baseinfo.Sex,MonitorLevel:baseinfo.MonitorLevel,Content:""}
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arg.Liker = append(arg.Liker, &base)
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}
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}
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os.Exit(1)
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}
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// 人脸比对
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func Compare(args *SdkDatas, groupRule *protomsg.GroupRule) {
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compareFlag := 0
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var tableIds []string
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var threshold float32 = 0.2
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// 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
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for j := 0; j < len(groupRule.Rules); j++ {
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if groupRule.Rules[j].SdkId == "812b674b-2375-4589-919a-5c1c3278a972" { // 配了人脸比对
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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
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compareFlag = 2
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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
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}
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if groupRule.Rules[j].SdkArgAlias == "compareBase" && groupRule.Rules[j].SdkArgValue == "" { // 配的参数是比对全部底库
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compareFlag = 1
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}
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if groupRule.Rules[j].SdkArgAlias == "threshold" {
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v2, err := strconv.ParseFloat(groupRule.Rules[j].SdkArgValue, 32)
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if err != nil {
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logger.Error("string转float32失败！")
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}
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threshold = float32(v2)
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}
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}
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}
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// 为了测试作下弊，直接让其比对全部底库
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//compareFlag = 1
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if compareFlag == 0 {
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logger.Info("没有配置对比底库参数")
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//return
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}
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logger.Debug("=====配置的阈值为：",threshold)
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for j := 0; j < len(groupRule.Rules); j++ {
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if groupRule.Rules[j].SdkId == "812b674b-2375-4589-919a-5c1c3278a972" {
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for _, sdkData := range args.Sdkdata {
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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
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logger.Info("============================================进行人脸对比")
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for _, areaMap := range sdkData.AreaMapList {
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logger.Info("-------------人脸比对之前目标数量",len(areaMap.args))
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// 拿区域中每个人脸特征值去对比，填充其liker
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logger.Debug("----看看两个区域id是否一致：",groupRule.Rules[j].PolygonId,areaMap.areaId)
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if groupRule.Rules[j].PolygonId == areaMap.areaId {
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logger.Info("--------------看看compareFlag的值和tableId：",compareFlag,tableIds)
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for _, arg := range areaMap.args {
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if compareFlag == 1 {
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arg.fillLiker(nil,threshold)
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}
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if compareFlag == 2 {
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arg.fillLiker(tableIds,threshold)
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}
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logger.Info("-------------------成功给liker赋值,长度为：", len(arg.Liker))
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}
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areaMap.filterData = areaMap.args
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//logger.Info("=======第一次看args：",(areaMap.filterData))
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}
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logger.Info("-------------------------------人脸对比之后的目标数量",len(areaMap.args))
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}
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}
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}
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}
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}
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}
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// 计算区域内的目标数量以及将相似度、占比、尺寸等打包
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func (a *AreaMap) CountAreaObjs(arg *SdkData) {
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a.targetNum = 0
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threshold := 0.0 // 相似度
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intersectionper := 0.2 // 占比
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size := 0.0 // 尺寸
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areaPoints := Json2points(a.areaJson)
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widthScale := float64(arg.ImageWidth / 960)
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heigthScale := float64(arg.ImageHeight / 540)
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for _, obj := range arg.Photo {
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//logger.Info("------------------看看sdkData:", arg.SdkName, "的Photo数据----------------", obj, "----顺便看看占比-----：", PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale))
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if threshold <= obj.Score && size <= float64(obj.Rects.Width*obj.Rects.Height) && intersectionper <= PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale) {
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// 这步要备齐表达式里所需要的所有参数
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a.targetNum++
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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{}}
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//logger.Println("放进去的arg：-------", arg1)
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a.args = append(a.args, &arg1)
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a.filterData = append(a.filterData, &arg1)
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}
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}
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a.time = time.Unix(time.Now().Unix(), 0).String()[11:16]
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a.keepRight = arg.KeepRight
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a.isStatic = arg.IsStatic
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//logger.Println("--------------------看看区域数据：",*a)
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}
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// 把sdk从数据帧上提取的按照区域分类归置
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func SdkDataFormat(cameraId string, arg *SdkData, cameraPolygons []protomsg.CameraPolygon) {
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logger.Info("==================================本sdkData中解出来的目标数据=======================================")
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for _, photo := range arg.Photo {
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logger.Info("--------解析出来的数据---", cameraId, arg.IpcId, photo.Rects, photo.Score)
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}
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for _, polygon := range cameraPolygons {
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//logger.Println("++++++在这儿看一下区域啊:", polygon.Polygon)
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areaMap := AreaMap{cameraId: cameraId, areaId: polygon.Id, areaJson: polygon.Polygon, triggerLine: polygon.TriggerLine, directionLine: polygon.DirectionLine}
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// 为每个摄像机区域填充数据
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areaMap.CountAreaObjs(arg)
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arg.AreaMapList = append(arg.AreaMapList, &areaMap)
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}
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}
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