package service import ( "encoding/json" "fmt" "strconv" "time" "be.ems/src/framework/i18n" "be.ems/src/framework/logger" "be.ems/src/framework/utils/date" "be.ems/src/framework/utils/file" "be.ems/src/framework/utils/parse" "be.ems/src/modules/network_data/model" "be.ems/src/modules/network_data/repository" sysService "be.ems/src/modules/system/service" ) // 实例化数据层 CDREventIMS 结构体 var NewCDREventIMS = &CDREventIMS{ cdrEventIMSRepository: repository.NewCDREventIMS, } // CDREventImpl CDR会话事件IMS 服务层处理 type CDREventIMS struct { cdrEventIMSRepository *repository.CDREventIMS // CDR会话事件数据信息 } // SelectPage 根据条件分页查询 func (r *CDREventIMS) SelectPageMT(querys model.CDREventIMSQuery) map[string]any { return r.cdrEventIMSRepository.SelectPage(querys) } // SelectPage 根据条件分页查询 func (r *CDREventIMS) SelectPage(querys model.CDREventIMSQuery) ([]model.CDREventIMS, int64) { return r.cdrEventIMSRepository.SelectByPage(querys) } // DeleteByIds 批量删除信息 func (r *CDREventIMS) DeleteByIds(cdrIds []string) (int64, error) { // 检查是否存在 ids := r.cdrEventIMSRepository.SelectByIds(cdrIds) if len(ids) <= 0 { return 0, fmt.Errorf("not data") } if len(ids) == len(cdrIds) { rows := r.cdrEventIMSRepository.DeleteByIds(cdrIds) return rows, nil } // 删除信息失败! return 0, fmt.Errorf("delete fail") } // ExportXlsx 导出数据到 xlsx 文件 func (r CDREventIMS) ExportXlsx(rows []model.CDREventIMS, fileName, language string) (string, error) { // 第一行表头标题 headerCells := map[string]string{ "A1": "ID", "B1": "Record Behavior", "C1": "Type", "D1": "Caller", "E1": "Called", "F1": "Duration", "G1": "Result Code", "H1": "Result Cause", "I1": "MOS Average", "J1": "Call Connection Time", "K1": "Call Start Time", "L1": "Hangup Time", } // 读取字典数据 CDR SIP响应代码类别类型 dictCDRSipCode := sysService.NewSysDictData.SelectDictDataByType("cdr_sip_code") dictCDRSipCodeCause := sysService.NewSysDictData.SelectDictDataByType("cdr_sip_code_cause") // 读取字典数据 CDR 呼叫类型 dictCDRCallType := sysService.NewSysDictData.SelectDictDataByType("cdr_call_type") // 从第二行开始的数据 dataCells := make([]map[string]any, 0) for i, row := range rows { idx := strconv.Itoa(i + 2) // 解析 JSON 字符串为 map var cdrJSON map[string]interface{} err := json.Unmarshal([]byte(row.CDRJSONStr), &cdrJSON) if err != nil { logger.Warnf("CDRExport Error parsing JSON: %s", err.Error()) continue } // 记录类型 recordType := "" if v, ok := cdrJSON["recordType"]; ok && v != nil { recordType = v.(string) } // 呼叫类型 callType := "sms" callTypeLable := "SMS" if v, ok := cdrJSON["callType"]; ok && v != nil { callType = v.(string) for _, v := range dictCDRCallType { if callType == v.DictValue { callTypeLable = i18n.TKey(language, v.DictLabel) break } } } // 被叫 called := "" if v, ok := cdrJSON["calledParty"]; ok && v != nil { called = v.(string) } // 主叫 caller := "" if v, ok := cdrJSON["callerParty"]; ok && v != nil { caller = v.(string) } // 时长 duration := "-" if v, ok := cdrJSON["callDuration"]; ok && v != nil && callType != "sms" { duration = fmt.Sprintf("%ds", parse.Number(v)) } // 呼叫结果 非短信都有code作为结果 sms短信都ok // 呼叫结果 非短信都有code作为结果 sms短信都ok callResult := "Other" callCause := "Call failure for other reason" if callType == "sms" { callResult = "Success" callCause = "Normal Send" } else { if v, ok := cdrJSON["cause"]; ok && v != nil { cause := fmt.Sprint(v) for _, v := range dictCDRSipCode { if cause == v.DictValue { callResult = i18n.TKey(language, v.DictLabel) break } } for _, v := range dictCDRSipCodeCause { if cause == v.DictValue { callCause = i18n.TKey(language, v.DictLabel) break } } } } // 呼叫时间 seizureTimeStr := "" if v, ok := cdrJSON["seizureTime"]; ok && v != nil { if seizureTime := parse.Number(v); seizureTime > 0 { seizureTimeStr = date.ParseDateToStr(seizureTime, date.YYYY_MM_DD_HH_MM_SS_GMT_TZ) } else { seizureTimeStr = v.(string) } } // 挂断时间 releaseTimeStr := "" if v, ok := cdrJSON["releaseTime"]; ok && v != nil { if releaseTime := parse.Number(v); releaseTime > 0 { releaseTimeStr = date.ParseDateToStr(releaseTime, date.YYYY_MM_DD_HH_MM_SS_GMT_TZ) } else { releaseTimeStr = v.(string) } } // 通话质量 var mosAverage int64 = 0 if v, ok := cdrJSON["mosAverage"]; ok && v != nil && callType != "sms" { mosAverage = parse.Number(v) } // 通话连接时间 callConnectionTime := "-" if v, ok := cdrJSON["callConnectionTime"]; ok && v != nil && callType != "sms" { callConnectionTime = fmt.Sprintf("%ds", parse.Number(v)) } dataCells = append(dataCells, map[string]any{ "A" + idx: row.ID, "B" + idx: recordType, "C" + idx: callTypeLable, "D" + idx: caller, "E" + idx: called, "F" + idx: duration, "G" + idx: callResult, "H" + idx: callCause, "I" + idx: mosAverage, "J" + idx: callConnectionTime, "K" + idx: seizureTimeStr, "L" + idx: releaseTimeStr, }) } // 导出数据表格 return file.WriteSheet(headerCells, dataCells, fileName, "") } // CDRMOSHour CDR MOS 统计 func (r CDREventIMS) CDRMOSHour(rmUID string, timestamp int64) []map[string]any { t := time.UnixMilli(timestamp) beginTime := t endTime := t // 检查时分秒是否都为零 if t.Hour() == 0 && t.Minute() == 0 && t.Second() == 0 { // 获取当天起始时间(00:00:00) beginTime = t.Truncate(time.Hour) // 计算当天结束时间(23:59:59) endTime = beginTime.Add(23*time.Hour + 59*time.Minute + 59*time.Second) } else { // 起始时间:当前小时的 00 分 00 秒 beginTime = t.Truncate(time.Hour) // 结束时间:当前小时的 59 分 59 秒 999 毫秒 endTime = beginTime.Add(time.Hour - time.Millisecond) } querys := model.CDREventIMSQuery{ RmUID: rmUID, RecordType: "MOC", StartTime: beginTime.Unix(), EndTime: endTime.Unix(), } rows := r.cdrEventIMSRepository.Select(querys) // 创建一个map来存储按时间段合并后的数据 timeGroup := make(map[int64]map[string]float64) // 遍历每个数据项 for _, row := range rows { // 将毫秒时间戳转换为小时级时间戳(保留到小时的起始毫秒) timeHour := row.Timestamp / 3600 * 3600 // 1小时 = 3600000毫秒 // 解析 JSON 字符串为 map var cdrJSON map[string]interface{} err := json.Unmarshal([]byte(row.CDRJSONStr), &cdrJSON) if err != nil { logger.Warnf("Unmarshal JSON: %s", err.Error()) continue } // 记录类型 var mosAverage float64 = 0 if v, ok := cdrJSON["mosAverage"]; ok && v != nil { mosAverage = v.(float64) } else { continue } // 合并到对应的小时段 if _, exists := timeGroup[timeHour]; !exists { timeGroup[timeHour] = map[string]float64{ "total": 0, "mosSum": 0, } } timeGroup[timeHour]["total"] += 1 timeGroup[timeHour]["mosSum"] += mosAverage } // 时间组合输出 data := make([]map[string]any, 0, len(timeGroup)) for hour, sums := range timeGroup { data = append(data, map[string]any{ "timeGroup": fmt.Sprintf("%d", hour), "total": sums["total"], "mosSum": float64(int(sums["mosSum"]*100)) / 100, "mosAvg": float64(int(sums["mosSum"]/sums["total"]*100)) / 100, }) } return data } // CDRCCTHour CDR CCT 统计 func (r CDREventIMS) CDRCCTHour(rmUID string, timestamp int64) []map[string]any { t := time.UnixMilli(timestamp) beginTime := t endTime := t // 检查时分秒是否都为零 if t.Hour() == 0 && t.Minute() == 0 && t.Second() == 0 { // 获取当天起始时间(00:00:00) beginTime = t.Truncate(time.Hour) // 计算当天结束时间(23:59:59) endTime = beginTime.Add(23*time.Hour + 59*time.Minute + 59*time.Second) } else { // 起始时间:当前小时的 00 分 00 秒 beginTime = t.Truncate(time.Hour) // 结束时间:当前小时的 59 分 59 秒 999 毫秒 endTime = beginTime.Add(time.Hour - time.Millisecond) } querys := model.CDREventIMSQuery{ RmUID: rmUID, RecordType: "MOC", StartTime: beginTime.Unix(), EndTime: endTime.Unix(), } rows := r.cdrEventIMSRepository.Select(querys) // 创建一个map来存储按时间段合并后的数据 timeGroup := make(map[int64]map[string]float64) // 遍历每个数据项 for _, row := range rows { // 将毫秒时间戳转换为小时级时间戳(保留到小时的起始毫秒) timeHour := row.Timestamp / 3600 * 3600 // 1小时 = 3600000毫秒 // 解析 JSON 字符串为 map var cdrJSON map[string]interface{} err := json.Unmarshal([]byte(row.CDRJSONStr), &cdrJSON) if err != nil { logger.Warnf("Unmarshal JSON: %s", err.Error()) continue } // 记录类型 var callConnectionTime float64 = 0 if v, ok := cdrJSON["callConnectionTime"]; ok && v != nil { callConnectionTime = v.(float64) } else { continue } // 合并到对应的小时段 if _, exists := timeGroup[timeHour]; !exists { timeGroup[timeHour] = map[string]float64{ "total": 0, "cctSum": 0, } } timeGroup[timeHour]["total"] += 1 timeGroup[timeHour]["cctSum"] += callConnectionTime } // 时间组合输出 data := make([]map[string]any, 0, len(timeGroup)) for hour, sums := range timeGroup { data = append(data, map[string]any{ "timeGroup": fmt.Sprintf("%d", hour), "total": sums["total"], "cctSum": float64(int(sums["cctSum"]*100)) / 100, "cctAvg": float64(int(sums["cctSum"]/sums["total"]*100)) / 100, }) } return data }