253 lines
6.9 KiB
Go
253 lines
6.9 KiB
Go
package service
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import (
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"encoding/json"
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"fmt"
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"sort"
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"time"
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"be.ems/src/framework/constants/cachekey"
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"be.ems/src/framework/database/redis"
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"be.ems/src/framework/utils/parse"
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"be.ems/src/modules/network_data/model"
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"be.ems/src/modules/network_data/repository"
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neModel "be.ems/src/modules/network_element/model"
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)
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// 实例化数据层 PerfKPI 结构体
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var NewPerfKPI = &PerfKPI{
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perfKPIRepository: repository.NewPerfKPI,
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}
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// PerfKPI 性能统计 服务层处理
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type PerfKPI struct {
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perfKPIRepository *repository.PerfKPI // 性能统计数据信息
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}
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// SelectGoldKPI 通过网元指标数据信息
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func (r *PerfKPI) SelectGoldKPI(query model.GoldKPIQuery) []map[string]any {
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// 获取数据指标id
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var kpiIds []string
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kpiTitles := r.perfKPIRepository.SelectGoldKPITitle(query.NeType)
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for _, kpiId := range kpiTitles {
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kpiIds = append(kpiIds, kpiId.KPIID)
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}
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data := r.perfKPIRepository.SelectGoldKPI(query, kpiIds)
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if data == nil {
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return []map[string]any{}
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}
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return data
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}
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// SelectGoldKPITitle 网元对应的指标名称
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func (r *PerfKPI) SelectGoldKPITitle(neType string) []model.GoldKPITitle {
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return r.perfKPIRepository.SelectGoldKPITitle(neType)
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}
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// FindData 通过网元指标数据信息
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func (s PerfKPI) FindData(query model.GoldKPIQuery) []map[string]any {
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// 原始数据
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rows := s.perfKPIRepository.SelectKPI(query)
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if len(rows) <= 0 {
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return []map[string]any{}
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}
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kpiIdsHas := false
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kpiIds := []string{}
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// 处理数据
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arr := []map[string]any{}
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for _, row := range rows {
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// 解析 JSON 字符串为 map
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var kpiValues []map[string]any
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err := json.Unmarshal([]byte(row.KpiValues), &kpiValues)
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if err != nil {
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continue
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}
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item := map[string]any{
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"neType": row.NeType,
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"neName": row.NeName,
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"rmUID": row.RmUid,
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"startIndex": row.Index,
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"timeGroup": row.CreatedAt,
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}
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// 遍历 kpiValues 数组
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for _, v := range kpiValues {
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kpiId := "-"
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if k, ok := v["kpi_id"]; ok {
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kpiId = fmt.Sprint(k)
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}
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item[kpiId] = v["value"]
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}
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arr = append(arr, item)
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// 添加指标ID
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if !kpiIdsHas {
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for _, v := range kpiValues {
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kpiId := "-"
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if k, ok := v["kpi_id"]; ok {
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kpiId = fmt.Sprint(k)
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}
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kpiIds = append(kpiIds, kpiId)
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}
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kpiIdsHas = true
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}
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}
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// 时间密度分钟 数值单位秒 5分钟的传入300秒
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timeInterval := query.Interval
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// 创建一个map来存储按时间段合并后的数据
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timeGroup := make(map[int64][]map[string]any)
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// 遍历每个数据项
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for _, v := range arr {
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itemTime := parse.Number(v["timeGroup"])
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// 计算时间戳的x分钟时间段（使用秒并除以x分钟）
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timeMinute := itemTime / 1000 / timeInterval * timeInterval
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// 合并到对应的时间段
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timeGroup[timeMinute] = append(timeGroup[timeMinute], v)
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}
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// 时间组合输出
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data := []map[string]any{}
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for _, records := range timeGroup {
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if len(records) <= 0 {
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continue
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}
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// 转换为具体时间显示（根据需要可以格式化显示）
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// timeStr := time.Unix(k, 0).Format("2006-01-02 15:04:05")
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// fmt.Printf("Time Group: %s records: %d\n", timeStr, len(records))
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startItem := records[len(records)-1] // 取最后一条数据也是最开始startIndex
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if len(records) >= 2 { // 最后一条数据不参与计算
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for _, record := range records[:len(records)-1] {
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// fmt.Printf(" - startIndex: %v, Value: %v\n", record["startIndex"], record["timeGroup"])
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// 遍历kpiIds数组对lastRecord赋值
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for _, kpiId := range kpiIds {
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if v, ok := record[kpiId]; ok {
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// 特殊字段，只取一次收到的非0值
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if kpiId == "AMF.01" || kpiId == "UDM.01" || kpiId == "UDM.02" || kpiId == "UDM.03" || kpiId == "SMF.01" {
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// startItem[kpiId] = parse.Number(v)
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continue // startIndex的值不累加不取最后
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} else {
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value := parse.Number(startItem[kpiId])
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startItem[kpiId] = value + parse.Number(v)
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}
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}
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}
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}
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}
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data = append(data, startItem)
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}
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// 按时间排序
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sort.SliceStable(data, func(i, j int) bool {
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vi := parse.Number(data[i]["timeGroup"])
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vj := parse.Number(data[j]["timeGroup"])
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if query.SortOrder == "asc" {
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return vi < vj // asc
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}
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return vi > vj // desc
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})
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return data
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}
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// UPFTodayFlowFind 查询UPF总流量 N3上行 N6下行
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// day 统计天数
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func (r PerfKPI) UPFTodayFlowFind(rmUID string, day int) (int64, int64) {
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// 获取当前日期
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now := time.Now()
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var upTotal, downTotal int64
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// 查询最近day天的数据
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for i := 0; i <= day; i++ {
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dateKey := now.AddDate(0, 0, -i).Format("2006-01-02")
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key := fmt.Sprintf("%sUPF_FLOW:%s:%s", cachekey.NE_DATA_KEY, rmUID, dateKey)
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// 读取缓存数据
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up, err := redis.GetHash("", key, "up")
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if err != nil || up == "" {
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up = "0"
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}
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down, err := redis.GetHash("", key, "down")
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if err != nil || down == "" {
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down = "0"
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}
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upTotal += parse.Number(up)
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downTotal += parse.Number(down)
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}
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return upTotal, downTotal
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}
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// UPFTodayFlow UPF流量今日统计
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func (r PerfKPI) UPFTodayFlowUpdate(rmUID string, upValue, downValue int64) error {
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// 按日期存储统计数据
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dateKey := time.Now().Format("2006-01-02")
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key := fmt.Sprintf("%sUPF_FLOW:%s:%s", cachekey.NE_DATA_KEY, rmUID, dateKey)
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// 使用HIncrBy实时累加统计值
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if err := redis.IncrBy("", key, "up", upValue); err != nil {
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return err
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}
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if err := redis.IncrBy("", key, "down", downValue); err != nil {
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return err
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}
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return nil
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}
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// UPFTodayFlowLoad UPF上下行数据到redis
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// day 统计天数
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func (r PerfKPI) UPFTodayFlowLoad(day int) {
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cacheKeys, _ := redis.GetKeys("", cachekey.NE_KEY+"UPF:*")
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if len(cacheKeys) == 0 {
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return
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}
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now := time.Now()
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for _, key := range cacheKeys {
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var v neModel.NeInfo
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jsonStr, _ := redis.Get("", key)
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if len(jsonStr) > 7 {
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json.Unmarshal([]byte(jsonStr), &v)
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}
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if v.NeType == "UPF" && v.RmUID != "" {
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// 查询最近day天的数据
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for i := 0; i <= day; i++ {
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dateKey := now.AddDate(0, 0, -i).Format("2006-01-02")
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key := fmt.Sprintf("%sUPF_FLOW:%s:%s", cachekey.NE_DATA_KEY, v.RmUID, dateKey)
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// 根据传入天数计算时间范围
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beginTime := now.AddDate(0, 0, -i).Truncate(24 * time.Hour).UnixMilli()
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endTime := beginTime + 24*60*60*1000 - 1
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// 查询历史数据
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// down * 8 / 1000 / 1000 单位M
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info := r.perfKPIRepository.SelectUPFTotalFlow("UPF", v.RmUID, fmt.Sprint(beginTime), fmt.Sprint(endTime))
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if v, ok := info["up"]; ok && v == nil {
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info["up"] = 0
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}
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if v, ok := info["down"]; ok && v == nil {
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info["down"] = 0
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}
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upTotal := parse.Number(info["up"])
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downTotal := parse.Number(info["down"])
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err := redis.SetHash("", key, map[string]any{
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"up": upTotal,
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"down": downTotal,
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})
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if err != nil {
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continue
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}
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// 设置key的过期时间为30天，自动清理旧数据
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daySub := (30 - i) * 24
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err = redis.Expire("", key, time.Duration(daySub)*time.Hour)
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if err != nil {
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continue
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}
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}
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}
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}
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}
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