feat: 数据分析
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Blizzard
@@ -0,0 +1,299 @@
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package radio
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import (
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"sundynix-go/global"
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"sundynix-go/model/radio/response"
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"time"
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)
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type AnalyticsService struct{}
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// parseDateRange 解析日期范围，未传则默认最近30天
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func parseDateRange(startDate, endDate string) (time.Time, time.Time) {
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now := time.Now()
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layout := "2006-01-02"
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end, err := time.ParseInLocation(layout, endDate, now.Location())
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if err != nil {
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end = now
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}
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// 结束日期取当天 23:59:59
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end = time.Date(end.Year(), end.Month(), end.Day(), 23, 59, 59, 0, end.Location())
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start, err := time.ParseInLocation(layout, startDate, now.Location())
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if err != nil {
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start = end.AddDate(0, 0, -29) // 默认30天
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}
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// 开始日期取当天 00:00:00
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start = time.Date(start.Year(), start.Month(), start.Day(), 0, 0, 0, 0, start.Location())
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return start, end
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}
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// GetListeningTrend 获取收听趋势 (使用持久化的 ListenLog)
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func (s *AnalyticsService) GetListeningTrend(startDate, endDate, channelId string) (response.ListeningTrendResponse, error) {
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var resp response.ListeningTrendResponse
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start, end := parseDateRange(startDate, endDate)
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db := global.DB.Table("sundynix_radio_listen_log")
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if channelId != "" {
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db = db.Where("channel_id = ?", channelId)
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}
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// 按天聚合收听次数 (即便用户删除了 history，日志依然存在)
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err := db.Select("DATE(created_at) AS date, COUNT(*) AS count").
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Where("created_at BETWEEN ? AND ?", start, end).
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Where("deleted_at IS NULL").
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Group("DATE(created_at)").
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Order("date ASC").
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Scan(&resp.Trend).Error
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if err != nil {
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return resp, err
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}
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for _, p := range resp.Trend {
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resp.TotalCount += p.Count
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}
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return resp, nil
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}
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// GetSubscriptionTrend 获取新增订阅趋势 (使用永久 Order 记录)
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func (s *AnalyticsService) GetSubscriptionTrend(startDate, endDate, channelId string) (response.SubscriptionTrendResponse, error) {
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var resp response.SubscriptionTrendResponse
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start, end := parseDateRange(startDate, endDate)
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// 订阅趋势 = 首次购买该频道成功的订单
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// 通过子查询找到每个 (user_id, channel_id) 的最小成功订单日期
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subQuery := global.DB.Table("sundynix_order").
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Select("MIN(updated_at) as first_pay").
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Where("type = 1 AND status = 1 AND deleted_at IS NULL").
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Group("user_id, channel_id")
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db := global.DB.Table("(?) as first_orders", subQuery).
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Where("first_pay BETWEEN ? AND ?", start, end)
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err := db.Select("DATE(first_pay) AS date, COUNT(*) AS count").
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Group("DATE(first_pay)").
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Order("date ASC").
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Scan(&resp.Trend).Error
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if err != nil {
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return resp, err
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}
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for _, p := range resp.Trend {
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resp.TotalNewSubs += p.Count
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}
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return resp, nil
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}
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// GetRenewalTrend 获取续费趋势 (使用永久 Order 记录)
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func (s *AnalyticsService) GetRenewalTrend(startDate, endDate, channelId string) (response.RenewalTrendResponse, error) {
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var resp response.RenewalTrendResponse
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start, end := parseDateRange(startDate, endDate)
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// 续费 = 成功支付的订阅订单，且不是该用户对该频道的首笔订单
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db := global.DB.Table("sundynix_order AS o").
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Where("o.type = 1 AND o.status = 1 AND o.deleted_at IS NULL").
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Where("o.updated_at BETWEEN ? AND ?", start, end).
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Where("EXISTS (SELECT 1 FROM sundynix_order AS o2 WHERE o2.user_id = o.user_id AND o2.channel_id = o.channel_id AND o2.updated_at < o.updated_at AND o2.status = 1)")
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if channelId != "" {
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db = db.Where("o.channel_id = ?", channelId)
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}
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err := db.Select("DATE(o.updated_at) AS date, COUNT(*) AS count").
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Group("DATE(o.updated_at)").
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Order("date ASC").
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Scan(&resp.Trend).Error
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if err != nil {
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return resp, err
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}
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for _, p := range resp.Trend {
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resp.TotalRenewals += p.Count
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}
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return resp, nil
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}
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// GetSubscriberStats 获取订阅用户统计 (混合实时 Subscription 与历史 Order)
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func (s *AnalyticsService) GetSubscriberStats(startDate, endDate, channelId string) (response.SubscriberStatsResponse, error) {
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var resp response.SubscriberStatsResponse
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start, end := parseDateRange(startDate, endDate)
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now := time.Now()
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// 1. 当前有效订阅用户数 (实时表)
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activeQuery := global.DB.Table("sundynix_radio_subscription").
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Where("deleted_at IS NULL AND status = 1 AND expired_at > ?", now)
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if channelId != "" {
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activeQuery = activeQuery.Where("channel_id = ?", channelId)
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}
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activeQuery.Select("COUNT(DISTINCT user_id)").Scan(&resp.ActiveSubscribers)
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// 2. 累积总订阅人数 (从历史 Order 表统计全量真实去重用户)
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totalUserQuery := global.DB.Table("sundynix_order").
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Where("type = 1 AND status = 1 AND deleted_at IS NULL")
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if channelId != "" {
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totalUserQuery = totalUserQuery.Where("channel_id = ?", channelId)
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}
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totalUserQuery.Select("COUNT(DISTINCT user_id)").Scan(&resp.TotalSubscribers)
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// 3. 已流失/过期用户 = 历史总计 - 当前有效
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resp.ExpiredSubscribers = resp.TotalSubscribers - resp.ActiveSubscribers
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if resp.ExpiredSubscribers < 0 {
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resp.ExpiredSubscribers = 0
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}
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// 4. 每日新增转化用户趋势 (从 Order 表提取)
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trendQuery := global.DB.Table("sundynix_order").
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Where("type = 1 AND status = 1 AND updated_at BETWEEN ? AND ? AND deleted_at IS NULL", start, end)
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if channelId != "" {
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trendQuery = trendQuery.Where("channel_id = ?", channelId)
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}
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err := trendQuery.Select("DATE(updated_at) AS date, COUNT(DISTINCT user_id) AS count").
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Group("DATE(updated_at)").
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Order("date ASC").
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Scan(&resp.ActiveTrend).Error
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return resp, err
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}
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// GetContentQuality 内容质量分析：完播率
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func (s *AnalyticsService) GetContentQuality(channelId string) ([]response.CompletionRateResponse, error) {
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var results []response.CompletionRateResponse
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// 使用更具韧性的 SQL 计算完播率：
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// 1. 优先使用 program 表中的 duration (得益于“贪婪学习”，它会越来越准)
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// 2. 如果 program.duration 为 0，则动态使用该节目在日志中的 MAX(progress) 作为推定时长
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// 3. 过滤掉完全没有任何播放深度记录的异常数据
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baseQuery := global.DB.Table("sundynix_radio_program AS p").
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Select("p.id as program_id, p.title, " +
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"AVG(CAST(h.progress AS DECIMAL) / " +
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"NULLIF(COALESCE(NULLIF(p.duration, 0), (SELECT MAX(progress) FROM sundynix_radio_listen_log WHERE program_id = p.id)), 0)) as avg_completion, " +
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"COUNT(DISTINCT h.user_id) as play_count").
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Joins("INNER JOIN sundynix_radio_history AS h ON h.program_id = p.id")
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if channelId != "" {
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baseQuery = baseQuery.Where("p.channel_id = ?", channelId)
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}
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err := baseQuery.Group("p.id, p.title").
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Having("avg_completion >= 0").
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Order("avg_completion DESC").
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Limit(20).
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Scan(&results).Error
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return results, err
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}
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// GetUserStickiness 用户黏性分析：留存分析 (Cohort Analysis)
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func (s *AnalyticsService) GetUserStickiness(startDate, endDate string) ([]response.RetentionResponse, error) {
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var list []response.RetentionResponse
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start, end := parseDateRange(startDate, endDate)
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// 获取时间范围内的每日新增活跃用户
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var dailyNewUsers []struct {
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Date string
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Count int64
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}
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global.DB.Table("sundynix_radio_listen_log").
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Select("DATE(created_at) as date, COUNT(DISTINCT user_id) as count").
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Where("created_at BETWEEN ? AND ?", start, end).
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Group("DATE(created_at)").
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Scan(&dailyNewUsers)
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for _, day := range dailyNewUsers {
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dayTime, _ := time.Parse("2006-01-02", day.Date)
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res := response.RetentionResponse{
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Date: day.Date,
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NewUsers: day.Count,
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}
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// 计算 1, 3, 7, 30 天后的留存率
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intervals := []int{1, 3, 7, 30}
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for _, dayDelta := range intervals {
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checkDayStart := dayTime.AddDate(0, 0, dayDelta)
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checkDayEnd := checkDayStart.AddDate(0, 0, 1)
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var retainedCount int64
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// 统计在 day.Date 活跃过的用户中，有多少在 checkDay 再次出现了
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global.DB.Table("sundynix_radio_listen_log").
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Where("user_id IN (SELECT DISTINCT user_id FROM sundynix_radio_listen_log WHERE DATE(created_at) = ?)", day.Date).
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Where("created_at BETWEEN ? AND ?", checkDayStart, checkDayEnd).
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Distinct("user_id").
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Count(&retainedCount)
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rate := 0.0
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if day.Count > 0 {
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rate = float64(retainedCount) / float64(day.Count)
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}
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res.Retention = append(res.Retention, rate)
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}
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list = append(list, res)
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}
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return list, nil
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}
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// GetBusinessConversion 商业转化分析：漏斗与 LTV
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func (s *AnalyticsService) GetBusinessConversion(startDate, endDate string) (response.FunnelResponse, error) {
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var resp response.FunnelResponse
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start, end := parseDateRange(startDate, endDate)
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// 1. 活跃收听用户数 (Top of Funnel)
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global.DB.Table("sundynix_radio_listen_log").
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Where("created_at BETWEEN ? AND ?", start, end).
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Distinct("user_id").Count(&resp.ListenUsers)
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// 2. 尝试下单用户数 (Middle of Funnel) - 只要创建过订单就算
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global.DB.Table("sundynix_order").
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Where("created_at BETWEEN ? AND ?", start, end).
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Distinct("user_id").Count(&resp.OrderUsers)
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// 3. 支付成功用户数 (Bottom of Funnel)
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global.DB.Table("sundynix_order").
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Where("updated_at BETWEEN ? AND ? AND status = 1", start, end).
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Distinct("user_id").Count(&resp.PayUsers)
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// 4. LTV 计算 (活跃期内总营收 / 总活跃用户数)
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var totalRevenue int64
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global.DB.Table("sundynix_order").
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Where("updated_at BETWEEN ? AND ? AND status = 1", start, end).
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Select("SUM(amount)").Scan(&totalRevenue)
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if resp.ListenUsers > 0 {
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resp.LTV = float64(totalRevenue) / float64(resp.ListenUsers)
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}
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return resp, nil
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}
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// GetPreferenceAnalysis 品类偏好分析
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func (s *AnalyticsService) GetPreferenceAnalysis() (response.PreferenceAnalysisResponse, error) {
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var resp response.PreferenceAnalysisResponse
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var totalRevenue int64
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// 获取总营收用于计算占比
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global.DB.Table("sundynix_order").Where("status = 1").Select("SUM(amount)").Scan(&totalRevenue)
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// 按分类聚合播放量与营收
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err := global.DB.Table("sundynix_radio_category AS cat").
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Select("cat.id as category_id, cat.name as category_name, " +
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"COUNT(DISTINCT l.id) as listen_count, " +
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"COALESCE(SUM(DISTINCT o.amount), 0) as revenue").
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Joins("LEFT JOIN sundynix_radio_channel AS ch ON ch.category_id = cat.id").
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Joins("LEFT JOIN sundynix_radio_listen_log AS l ON l.channel_id = ch.id").
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Joins("LEFT JOIN sundynix_order AS o ON o.channel_id = ch.id AND o.status = 1").
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Group("cat.id, cat.name").
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Order("revenue DESC").
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Scan(&resp.List).Error
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if totalRevenue > 0 {
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for i := range resp.List {
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resp.List[i].Share = float64(resp.List[i].Revenue) / float64(totalRevenue)
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}
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}
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return resp, err
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}
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