feat: 数据分析

This commit is contained in:
Blizzard
2026-03-10 15:12:29 +08:00
parent bdcd96a058
commit e4b7ee04cc
17 changed files with 1315 additions and 17 deletions
+299
View File
@@ -0,0 +1,299 @@
package radio
import (
"sundynix-go/global"
"sundynix-go/model/radio/response"
"time"
)
type AnalyticsService struct{}
// parseDateRange 解析日期范围,未传则默认最近30天
func parseDateRange(startDate, endDate string) (time.Time, time.Time) {
now := time.Now()
layout := "2006-01-02"
end, err := time.ParseInLocation(layout, endDate, now.Location())
if err != nil {
end = now
}
// 结束日期取当天 23:59:59
end = time.Date(end.Year(), end.Month(), end.Day(), 23, 59, 59, 0, end.Location())
start, err := time.ParseInLocation(layout, startDate, now.Location())
if err != nil {
start = end.AddDate(0, 0, -29) // 默认30天
}
// 开始日期取当天 00:00:00
start = time.Date(start.Year(), start.Month(), start.Day(), 0, 0, 0, 0, start.Location())
return start, end
}
// GetListeningTrend 获取收听趋势 (使用持久化的 ListenLog)
func (s *AnalyticsService) GetListeningTrend(startDate, endDate, channelId string) (response.ListeningTrendResponse, error) {
var resp response.ListeningTrendResponse
start, end := parseDateRange(startDate, endDate)
db := global.DB.Table("sundynix_radio_listen_log")
if channelId != "" {
db = db.Where("channel_id = ?", channelId)
}
// 按天聚合收听次数 (即便用户删除了 history,日志依然存在)
err := db.Select("DATE(created_at) AS date, COUNT(*) AS count").
Where("created_at BETWEEN ? AND ?", start, end).
Where("deleted_at IS NULL").
Group("DATE(created_at)").
Order("date ASC").
Scan(&resp.Trend).Error
if err != nil {
return resp, err
}
for _, p := range resp.Trend {
resp.TotalCount += p.Count
}
return resp, nil
}
// GetSubscriptionTrend 获取新增订阅趋势 (使用永久 Order 记录)
func (s *AnalyticsService) GetSubscriptionTrend(startDate, endDate, channelId string) (response.SubscriptionTrendResponse, error) {
var resp response.SubscriptionTrendResponse
start, end := parseDateRange(startDate, endDate)
// 订阅趋势 = 首次购买该频道成功的订单
// 通过子查询找到每个 (user_id, channel_id) 的最小成功订单日期
subQuery := global.DB.Table("sundynix_order").
Select("MIN(updated_at) as first_pay").
Where("type = 1 AND status = 1 AND deleted_at IS NULL").
Group("user_id, channel_id")
db := global.DB.Table("(?) as first_orders", subQuery).
Where("first_pay BETWEEN ? AND ?", start, end)
err := db.Select("DATE(first_pay) AS date, COUNT(*) AS count").
Group("DATE(first_pay)").
Order("date ASC").
Scan(&resp.Trend).Error
if err != nil {
return resp, err
}
for _, p := range resp.Trend {
resp.TotalNewSubs += p.Count
}
return resp, nil
}
// GetRenewalTrend 获取续费趋势 (使用永久 Order 记录)
func (s *AnalyticsService) GetRenewalTrend(startDate, endDate, channelId string) (response.RenewalTrendResponse, error) {
var resp response.RenewalTrendResponse
start, end := parseDateRange(startDate, endDate)
// 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
db := global.DB.Table("sundynix_order AS o").
Where("o.type = 1 AND o.status = 1 AND o.deleted_at IS NULL").
Where("o.updated_at BETWEEN ? AND ?", start, end).
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)")
if channelId != "" {
db = db.Where("o.channel_id = ?", channelId)
}
err := db.Select("DATE(o.updated_at) AS date, COUNT(*) AS count").
Group("DATE(o.updated_at)").
Order("date ASC").
Scan(&resp.Trend).Error
if err != nil {
return resp, err
}
for _, p := range resp.Trend {
resp.TotalRenewals += p.Count
}
return resp, nil
}
// GetSubscriberStats 获取订阅用户统计 (混合实时 Subscription 与历史 Order)
func (s *AnalyticsService) GetSubscriberStats(startDate, endDate, channelId string) (response.SubscriberStatsResponse, error) {
var resp response.SubscriberStatsResponse
start, end := parseDateRange(startDate, endDate)
now := time.Now()
// 1. 当前有效订阅用户数 (实时表)
activeQuery := global.DB.Table("sundynix_radio_subscription").
Where("deleted_at IS NULL AND status = 1 AND expired_at > ?", now)
if channelId != "" {
activeQuery = activeQuery.Where("channel_id = ?", channelId)
}
activeQuery.Select("COUNT(DISTINCT user_id)").Scan(&resp.ActiveSubscribers)
// 2. 累积总订阅人数 (从历史 Order 表统计全量真实去重用户)
totalUserQuery := global.DB.Table("sundynix_order").
Where("type = 1 AND status = 1 AND deleted_at IS NULL")
if channelId != "" {
totalUserQuery = totalUserQuery.Where("channel_id = ?", channelId)
}
totalUserQuery.Select("COUNT(DISTINCT user_id)").Scan(&resp.TotalSubscribers)
// 3. 已流失/过期用户 = 历史总计 - 当前有效
resp.ExpiredSubscribers = resp.TotalSubscribers - resp.ActiveSubscribers
if resp.ExpiredSubscribers < 0 {
resp.ExpiredSubscribers = 0
}
// 4. 每日新增转化用户趋势 (从 Order 表提取)
trendQuery := global.DB.Table("sundynix_order").
Where("type = 1 AND status = 1 AND updated_at BETWEEN ? AND ? AND deleted_at IS NULL", start, end)
if channelId != "" {
trendQuery = trendQuery.Where("channel_id = ?", channelId)
}
err := trendQuery.Select("DATE(updated_at) AS date, COUNT(DISTINCT user_id) AS count").
Group("DATE(updated_at)").
Order("date ASC").
Scan(&resp.ActiveTrend).Error
return resp, err
}
// GetContentQuality 内容质量分析:完播率
func (s *AnalyticsService) GetContentQuality(channelId string) ([]response.CompletionRateResponse, error) {
var results []response.CompletionRateResponse
// 使用更具韧性的 SQL 计算完播率:
// 1. 优先使用 program 表中的 duration (得益于“贪婪学习”,它会越来越准)
// 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
// 3. 过滤掉完全没有任何播放深度记录的异常数据
baseQuery := global.DB.Table("sundynix_radio_program AS p").
Select("p.id as program_id, p.title, " +
"AVG(CAST(h.progress AS DECIMAL) / " +
"NULLIF(COALESCE(NULLIF(p.duration, 0), (SELECT MAX(progress) FROM sundynix_radio_listen_log WHERE program_id = p.id)), 0)) as avg_completion, " +
"COUNT(DISTINCT h.user_id) as play_count").
Joins("INNER JOIN sundynix_radio_history AS h ON h.program_id = p.id")
if channelId != "" {
baseQuery = baseQuery.Where("p.channel_id = ?", channelId)
}
err := baseQuery.Group("p.id, p.title").
Having("avg_completion >= 0").
Order("avg_completion DESC").
Limit(20).
Scan(&results).Error
return results, err
}
// GetUserStickiness 用户黏性分析:留存分析 (Cohort Analysis)
func (s *AnalyticsService) GetUserStickiness(startDate, endDate string) ([]response.RetentionResponse, error) {
var list []response.RetentionResponse
start, end := parseDateRange(startDate, endDate)
// 获取时间范围内的每日新增活跃用户
var dailyNewUsers []struct {
Date string
Count int64
}
global.DB.Table("sundynix_radio_listen_log").
Select("DATE(created_at) as date, COUNT(DISTINCT user_id) as count").
Where("created_at BETWEEN ? AND ?", start, end).
Group("DATE(created_at)").
Scan(&dailyNewUsers)
for _, day := range dailyNewUsers {
dayTime, _ := time.Parse("2006-01-02", day.Date)
res := response.RetentionResponse{
Date: day.Date,
NewUsers: day.Count,
}
// 计算 1, 3, 7, 30 天后的留存率
intervals := []int{1, 3, 7, 30}
for _, dayDelta := range intervals {
checkDayStart := dayTime.AddDate(0, 0, dayDelta)
checkDayEnd := checkDayStart.AddDate(0, 0, 1)
var retainedCount int64
// 统计在 day.Date 活跃过的用户中,有多少在 checkDay 再次出现了
global.DB.Table("sundynix_radio_listen_log").
Where("user_id IN (SELECT DISTINCT user_id FROM sundynix_radio_listen_log WHERE DATE(created_at) = ?)", day.Date).
Where("created_at BETWEEN ? AND ?", checkDayStart, checkDayEnd).
Distinct("user_id").
Count(&retainedCount)
rate := 0.0
if day.Count > 0 {
rate = float64(retainedCount) / float64(day.Count)
}
res.Retention = append(res.Retention, rate)
}
list = append(list, res)
}
return list, nil
}
// GetBusinessConversion 商业转化分析:漏斗与 LTV
func (s *AnalyticsService) GetBusinessConversion(startDate, endDate string) (response.FunnelResponse, error) {
var resp response.FunnelResponse
start, end := parseDateRange(startDate, endDate)
// 1. 活跃收听用户数 (Top of Funnel)
global.DB.Table("sundynix_radio_listen_log").
Where("created_at BETWEEN ? AND ?", start, end).
Distinct("user_id").Count(&resp.ListenUsers)
// 2. 尝试下单用户数 (Middle of Funnel) - 只要创建过订单就算
global.DB.Table("sundynix_order").
Where("created_at BETWEEN ? AND ?", start, end).
Distinct("user_id").Count(&resp.OrderUsers)
// 3. 支付成功用户数 (Bottom of Funnel)
global.DB.Table("sundynix_order").
Where("updated_at BETWEEN ? AND ? AND status = 1", start, end).
Distinct("user_id").Count(&resp.PayUsers)
// 4. LTV 计算 (活跃期内总营收 / 总活跃用户数)
var totalRevenue int64
global.DB.Table("sundynix_order").
Where("updated_at BETWEEN ? AND ? AND status = 1", start, end).
Select("SUM(amount)").Scan(&totalRevenue)
if resp.ListenUsers > 0 {
resp.LTV = float64(totalRevenue) / float64(resp.ListenUsers)
}
return resp, nil
}
// GetPreferenceAnalysis 品类偏好分析
func (s *AnalyticsService) GetPreferenceAnalysis() (response.PreferenceAnalysisResponse, error) {
var resp response.PreferenceAnalysisResponse
var totalRevenue int64
// 获取总营收用于计算占比
global.DB.Table("sundynix_order").Where("status = 1").Select("SUM(amount)").Scan(&totalRevenue)
// 按分类聚合播放量与营收
err := global.DB.Table("sundynix_radio_category AS cat").
Select("cat.id as category_id, cat.name as category_name, " +
"COUNT(DISTINCT l.id) as listen_count, " +
"COALESCE(SUM(DISTINCT o.amount), 0) as revenue").
Joins("LEFT JOIN sundynix_radio_channel AS ch ON ch.category_id = cat.id").
Joins("LEFT JOIN sundynix_radio_listen_log AS l ON l.channel_id = ch.id").
Joins("LEFT JOIN sundynix_order AS o ON o.channel_id = ch.id AND o.status = 1").
Group("cat.id, cat.name").
Order("revenue DESC").
Scan(&resp.List).Error
if totalRevenue > 0 {
for i := range resp.List {
resp.List[i].Share = float64(resp.List[i].Revenue) / float64(totalRevenue)
}
}
return resp, err
}
+1
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@@ -10,6 +10,7 @@ type ServiceGroup struct {
OrderService
VipService
TTSService
AnalyticsService
}
var GroupApp = new(ServiceGroup)
+36 -11
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@@ -15,30 +15,55 @@ var InteractionServiceApp = new(InteractionService)
// AddHistory 添加收听历史
func (s *InteractionService) AddHistory(userId string, req radioReq.AddHistory) error {
// 先查找是否已存在记录
// 1. 获取节目信息以拿到 ChannelId (用于日志冗余方便统计)
var program radio.RadioProgram
if err := global.DB.Select("id, channel_id").Where("id = ?", req.ProgramId).First(&program).Error; err != nil {
return err
}
// 2. 写入/更新用户书签 (RadioHistory)
var history radio.RadioHistory
err := global.DB.Where("user_id = ? AND program_id = ?", userId, req.ProgramId).First(&history).Error
if errors.Is(err, gorm.ErrRecordNotFound) {
// 不存在,创建新记录
history = radio.RadioHistory{
UserId: userId,
ProgramId: req.ProgramId,
Progress: req.Progress,
Duration: req.Duration,
}
return global.DB.Create(&history).Error
}
if err != nil {
if err := global.DB.Create(&history).Error; err != nil {
return err
}
} else if err == nil {
if err := global.DB.Model(&history).Updates(map[string]interface{}{
"progress": req.Progress,
"duration": req.Duration,
}).Error; err != nil {
return err
}
} else {
return err
}
// 存在,更新进度
return global.DB.Model(&history).Updates(map[string]interface{}{
"progress": req.Progress,
"duration": req.Duration,
}).Error
// 3. 贪婪学习:如果节目表时长为0,且前端传回了有效时长,则自动补全元数据
if req.Duration > 0 && program.Duration == 0 {
global.DB.Model(&radio.RadioProgram{}).Where("id = ?", req.ProgramId).Update("duration", req.Duration)
}
// 4. 异步写入不可删除的日志表 (RadioListenLog) 用于趋势统计
go func() {
listenLog := radio.RadioListenLog{
UserId: userId,
ProgramId: req.ProgramId,
ChannelId: program.ChannelId,
Progress: req.Progress,
Duration: req.Duration,
}
global.DB.Create(&listenLog)
}()
return nil
}
// GetHistoryList 获取收听历史列表
+2 -5
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@@ -147,16 +147,13 @@ func (s *PayService) PayCallback(c *gin.Context) error {
TradeType: *transaction.TradeType,
TransactionId: *transaction.TransactionId,
}
err = global.DB.Create(&payNotify).Error
if err != nil {
if err := tx.Create(&payNotify).Error; err != nil {
global.Logger.Error("wxPay回调-存储数据异常:", zap.Error(err))
return err
}
if payNotify.TradeState == "SUCCESS" {
return OrderServiceApp.ExecuteOrderUnlock(tx, *transaction.OutTradeNo)
}
if err != nil {
return err
}
return nil
})