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
+178
View File
@@ -0,0 +1,178 @@
package radio
import (
"sundynix-go/global"
"sundynix-go/model/commom/response"
"sundynix-go/model/radio/request"
"github.com/gin-gonic/gin"
"go.uber.org/zap"
)
type AnalyticsApi struct{}
// GetListeningTrend 获取收听趋势
// @Tags 数据分析
// @Summary 获取收听趋势(折线图)
// @Produce application/json
// @Param startDate query string false "开始日期 2026-01-01"
// @Param endDate query string false "结束日期 2026-03-10"
// @Param channelId query string false "频道ID(可选筛选)"
// @Success 200 {object} response.Response
// @Router /radio/analytics/listening-trend [get]
func (a *AnalyticsApi) GetListeningTrend(c *gin.Context) {
var req request.TrendQuery
if err := c.ShouldBindQuery(&req); err != nil {
response.FailWithMsg("参数错误: "+err.Error(), c)
return
}
data, err := analyticsService.GetListeningTrend(req.StartDate, req.EndDate, req.ChannelId)
if err != nil {
global.Logger.Error("获取收听趋势失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetSubscriptionTrend 获取订阅趋势
// @Tags 数据分析
// @Summary 获取订阅趋势(折线图)
// @Produce application/json
// @Param startDate query string false "开始日期"
// @Param endDate query string false "结束日期"
// @Param channelId query string false "频道ID"
// @Success 200 {object} response.Response
// @Router /radio/analytics/subscription-trend [get]
func (a *AnalyticsApi) GetSubscriptionTrend(c *gin.Context) {
var req request.TrendQuery
if err := c.ShouldBindQuery(&req); err != nil {
response.FailWithMsg("参数错误: "+err.Error(), c)
return
}
data, err := analyticsService.GetSubscriptionTrend(req.StartDate, req.EndDate, req.ChannelId)
if err != nil {
global.Logger.Error("获取订阅趋势失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetRenewalTrend 获取续费趋势
// @Tags 数据分析
// @Summary 获取续费趋势(折线图)
// @Produce application/json
// @Param startDate query string false "开始日期"
// @Param endDate query string false "结束日期"
// @Param channelId query string false "频道ID"
// @Success 200 {object} response.Response
// @Router /radio/analytics/renewal-trend [get]
func (a *AnalyticsApi) GetRenewalTrend(c *gin.Context) {
var req request.TrendQuery
if err := c.ShouldBindQuery(&req); err != nil {
response.FailWithMsg("参数错误: "+err.Error(), c)
return
}
data, err := analyticsService.GetRenewalTrend(req.StartDate, req.EndDate, req.ChannelId)
if err != nil {
global.Logger.Error("获取续费趋势失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetSubscriberStats 获取订阅用户统计
// @Tags 数据分析
// @Summary 获取订阅用户统计(折线图 + 概览)
// @Produce application/json
// @Param startDate query string false "开始日期"
// @Param endDate query string false "结束日期"
// @Param channelId query string false "频道ID"
// @Success 200 {object} response.Response
// @Router /radio/analytics/subscriber-stats [get]
func (a *AnalyticsApi) GetSubscriberStats(c *gin.Context) {
var req request.TrendQuery
if err := c.ShouldBindQuery(&req); err != nil {
response.FailWithMsg("参数错误: "+err.Error(), c)
return
}
data, err := analyticsService.GetSubscriberStats(req.StartDate, req.EndDate, req.ChannelId)
if err != nil {
global.Logger.Error("获取订阅用户统计失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetContentQuality 获取内容质量分析
// @Tags 数据分析
// @Summary 获取内容质量分析(完播率等)
// @Param channelId query string false "频道ID"
// @Success 200 {object} response.Response
// @Router /radio/analytics/content-quality [get]
func (a *AnalyticsApi) GetContentQuality(c *gin.Context) {
channelId := c.Query("channelId")
data, err := analyticsService.GetContentQuality(channelId)
if err != nil {
global.Logger.Error("获取内容质量分析失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetUserStickiness 获取用户留存分析
// @Tags 数据分析
// @Summary 获取用户留存分析 (Cohort)
// @Param startDate query string false "开始日期"
// @Param endDate query string false "结束日期"
// @Success 200 {object} response.Response
// @Router /radio/analytics/user-stickiness [get]
func (a *AnalyticsApi) GetUserStickiness(c *gin.Context) {
var req request.TrendQuery
c.ShouldBindQuery(&req)
data, err := analyticsService.GetUserStickiness(req.StartDate, req.EndDate)
if err != nil {
global.Logger.Error("获取用户留存分析失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetBusinessConversion 获取商业转化分析
// @Tags 数据分析
// @Summary 获取商业转化分析 (Funnel & LTV)
// @Param startDate query string false "开始日期"
// @Param endDate query string false "结束日期"
// @Success 200 {object} response.Response
// @Router /radio/analytics/business-conversion [get]
func (a *AnalyticsApi) GetBusinessConversion(c *gin.Context) {
var req request.TrendQuery
c.ShouldBindQuery(&req)
data, err := analyticsService.GetBusinessConversion(req.StartDate, req.EndDate)
if err != nil {
global.Logger.Error("获取商业转化分析失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
// GetPreferenceAnalysis 获取品类偏好分析
// @Tags 数据分析
// @Summary 获取品类偏好分析
// @Success 200 {object} response.Response
// @Router /radio/analytics/preference [get]
func (a *AnalyticsApi) GetPreferenceAnalysis(c *gin.Context) {
data, err := analyticsService.GetPreferenceAnalysis()
if err != nil {
global.Logger.Error("获取品类偏好分析失败!", zap.Error(err))
response.FailWithMsg(err.Error(), c)
return
}
response.OkWithData(data, c)
}
+2
View File
@@ -10,6 +10,7 @@ type ApiGroup struct {
InteractionApi InteractionApi
PayApi PayApi
VipApi VipApi
AnalyticsApi
} }
var ApiGroupApp = new(ApiGroup) var ApiGroupApp = new(ApiGroup)
@@ -22,4 +23,5 @@ var (
interactionService = service.GroupApp.RadioServiceGroup.InteractionService interactionService = service.GroupApp.RadioServiceGroup.InteractionService
payService = service.GroupApp.RadioServiceGroup.PayService payService = service.GroupApp.RadioServiceGroup.PayService
vipService = service.GroupApp.RadioServiceGroup.VipService vipService = service.GroupApp.RadioServiceGroup.VipService
analyticsService = service.GroupApp.RadioServiceGroup.AnalyticsService
) )
+256
View File
@@ -1487,6 +1487,262 @@ const docTemplate = `{
} }
} }
}, },
"/radio/analytics/business-conversion": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取商业转化分析 (Funnel \u0026 LTV)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/content-quality": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取内容质量分析(完播率等)",
"parameters": [
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/listening-trend": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取收听趋势(折线图)",
"parameters": [
{
"type": "string",
"description": "开始日期 2026-01-01",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期 2026-03-10",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID(可选筛选)",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/preference": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取品类偏好分析",
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/renewal-trend": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取续费趋势(折线图)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/subscriber-stats": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取订阅用户统计(折线图 + 概览)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/subscription-trend": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取订阅趋势(折线图)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/user-stickiness": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取用户留存分析 (Cohort)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/category/delete": { "/radio/category/delete": {
"post": { "post": {
"produces": [ "produces": [
+256
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@@ -1480,6 +1480,262 @@
} }
} }
}, },
"/radio/analytics/business-conversion": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取商业转化分析 (Funnel \u0026 LTV)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/content-quality": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取内容质量分析(完播率等)",
"parameters": [
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/listening-trend": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取收听趋势(折线图)",
"parameters": [
{
"type": "string",
"description": "开始日期 2026-01-01",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期 2026-03-10",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID(可选筛选)",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/preference": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取品类偏好分析",
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/renewal-trend": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取续费趋势(折线图)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/subscriber-stats": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取订阅用户统计(折线图 + 概览)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/subscription-trend": {
"get": {
"produces": [
"application/json"
],
"tags": [
"数据分析"
],
"summary": "获取订阅趋势(折线图)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
},
{
"type": "string",
"description": "频道ID",
"name": "channelId",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/analytics/user-stickiness": {
"get": {
"tags": [
"数据分析"
],
"summary": "获取用户留存分析 (Cohort)",
"parameters": [
{
"type": "string",
"description": "开始日期",
"name": "startDate",
"in": "query"
},
{
"type": "string",
"description": "结束日期",
"name": "endDate",
"in": "query"
}
],
"responses": {
"200": {
"description": "OK",
"schema": {
"$ref": "#/definitions/response.Response"
}
}
}
}
},
"/radio/category/delete": { "/radio/category/delete": {
"post": { "post": {
"produces": [ "produces": [
+163
View File
@@ -1575,6 +1575,169 @@ paths:
summary: 支付 summary: 支付
tags: tags:
- 微信支付 - 微信支付
/radio/analytics/business-conversion:
get:
parameters:
- description: 开始日期
in: query
name: startDate
type: string
- description: 结束日期
in: query
name: endDate
type: string
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取商业转化分析 (Funnel & LTV)
tags:
- 数据分析
/radio/analytics/content-quality:
get:
parameters:
- description: 频道ID
in: query
name: channelId
type: string
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取内容质量分析(完播率等)
tags:
- 数据分析
/radio/analytics/listening-trend:
get:
parameters:
- description: 开始日期 2026-01-01
in: query
name: startDate
type: string
- description: 结束日期 2026-03-10
in: query
name: endDate
type: string
- description: 频道ID(可选筛选)
in: query
name: channelId
type: string
produces:
- application/json
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取收听趋势(折线图)
tags:
- 数据分析
/radio/analytics/preference:
get:
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取品类偏好分析
tags:
- 数据分析
/radio/analytics/renewal-trend:
get:
parameters:
- description: 开始日期
in: query
name: startDate
type: string
- description: 结束日期
in: query
name: endDate
type: string
- description: 频道ID
in: query
name: channelId
type: string
produces:
- application/json
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取续费趋势(折线图)
tags:
- 数据分析
/radio/analytics/subscriber-stats:
get:
parameters:
- description: 开始日期
in: query
name: startDate
type: string
- description: 结束日期
in: query
name: endDate
type: string
- description: 频道ID
in: query
name: channelId
type: string
produces:
- application/json
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取订阅用户统计(折线图 + 概览)
tags:
- 数据分析
/radio/analytics/subscription-trend:
get:
parameters:
- description: 开始日期
in: query
name: startDate
type: string
- description: 结束日期
in: query
name: endDate
type: string
- description: 频道ID
in: query
name: channelId
type: string
produces:
- application/json
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取订阅趋势(折线图)
tags:
- 数据分析
/radio/analytics/user-stickiness:
get:
parameters:
- description: 开始日期
in: query
name: startDate
type: string
- description: 结束日期
in: query
name: endDate
type: string
responses:
"200":
description: OK
schema:
$ref: '#/definitions/response.Response'
summary: 获取用户留存分析 (Cohort)
tags:
- 数据分析
/radio/category/delete: /radio/category/delete:
post: post:
parameters: parameters:
+1
View File
@@ -51,6 +51,7 @@ func MigrateTable() {
radio.RadioHistory{}, radio.RadioHistory{},
radio.RadioFavorite{}, radio.RadioFavorite{},
radio.RadioLike{}, radio.RadioLike{},
radio.RadioListenLog{},
) )
if err != nil { if err != nil {
global.Logger.Error("Migrate table failed,err:", zap.Error(err)) global.Logger.Error("Migrate table failed,err:", zap.Error(err))
+1
View File
@@ -55,6 +55,7 @@ func Routers() {
radioRouter.InitSubscriptionRouter(NeedAuthGroup) //订阅相关 radioRouter.InitSubscriptionRouter(NeedAuthGroup) //订阅相关
radioRouter.InitPayRouter(NeedAuthGroup, PublicGroup) //支付和回调 radioRouter.InitPayRouter(NeedAuthGroup, PublicGroup) //支付和回调
radioRouter.InitInteractionRouter(NeedAuthGroup) //用户互动相关 radioRouter.InitInteractionRouter(NeedAuthGroup) //用户互动相关
radioRouter.InitAnalyticsRouter(NeedAuthGroup) //数据分析相关
} }
address := fmt.Sprintf(":%d", global.Config.System.Addr) address := fmt.Sprintf(":%d", global.Config.System.Addr)
+19
View File
@@ -0,0 +1,19 @@
package radio
import (
"sundynix-go/global"
)
// RadioListenLog 播放日志表(用于统计收听趋势,不可删除,不作为书签)
type RadioListenLog struct {
global.BaseModel
UserId string `gorm:"size:50;index" json:"userId"` // 用户ID
ProgramId string `gorm:"size:50;index" json:"programId"` // 节目ID
ChannelId string `gorm:"size:50;index" json:"channelId"` // 频道ID(冗余,方便按频道统计)
Progress int `gorm:"default:0" json:"progress"` // 当前播放进度
Duration int `gorm:"default:0" json:"duration"` // 节目总时长 (由播放器实时反馈,用于修复元数据)
}
func (RadioListenLog) TableName() string {
return "sundynix_radio_listen_log"
}
+1 -1
View File
@@ -13,7 +13,7 @@ type PayNotify struct {
BankType string `json:"bank_type" gorm:"column:bank_type"` BankType string `json:"bank_type" gorm:"column:bank_type"`
MchId string `json:"mchId" gorm:"column:mch_id"` MchId string `json:"mchId" gorm:"column:mch_id"`
OutTradeNo string `json:"out_trade_no" gorm:"column:out_trade_no"` OutTradeNo string `json:"out_trade_no" gorm:"column:out_trade_no"`
Payer string `json:"payer" gorm:"column:out_trade_no"` Payer string `json:"payer" gorm:"column:payer"`
SuccessTime string `json:"success_time" gorm:"column:success_time"` SuccessTime string `json:"success_time" gorm:"column:success_time"`
TradeState string `json:"trade_state" gorm:"column:trade_state"` TradeState string `json:"trade_state" gorm:"column:trade_state"`
TradeStateDesc string `json:"trade_state_desc" gorm:"column:trade_state_desc"` TradeStateDesc string `json:"trade_state_desc" gorm:"column:trade_state_desc"`
+7
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@@ -75,3 +75,10 @@ type GetCommentList struct {
type GetSubscriptionList struct { type GetSubscriptionList struct {
common.PageInfo common.PageInfo
} }
// TrendQuery 趋势查询请求(复用于所有趋势分析接口)
type TrendQuery struct {
StartDate string `json:"startDate" form:"startDate"` // 开始日期 "2026-01-01"
EndDate string `json:"endDate" form:"endDate"` // 结束日期 "2026-03-10"
ChannelId string `json:"channelId" form:"channelId"` // 可选,按频道筛选
}
+70
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@@ -0,0 +1,70 @@
package response
// TrendPoint 折线图通用数据点(日期 + 数量)
type TrendPoint struct {
Date string `json:"date"` // 日期 "2026-03-01"
Count int64 `json:"count"` // 数量
}
// ListeningTrendResponse 收听趋势响应
type ListeningTrendResponse struct {
Trend []TrendPoint `json:"trend"` // 每日收听人次趋势
TotalCount int64 `json:"totalCount"` // 期间总收听次数
}
// SubscriptionTrendResponse 订阅趋势响应
type SubscriptionTrendResponse struct {
Trend []TrendPoint `json:"trend"` // 每日新增订阅数趋势
TotalNewSubs int64 `json:"totalNewSubs"` // 期间新增订阅总数
}
// RenewalTrendResponse 续费趋势响应
type RenewalTrendResponse struct {
Trend []TrendPoint `json:"trend"` // 每日续费订单数趋势
TotalRenewals int64 `json:"totalRenewals"` // 期间续费总数
}
// SubscriberStatsResponse 订阅用户统计响应
type SubscriberStatsResponse struct {
ActiveSubscribers int64 `json:"activeSubscribers"` // 当前有效订阅用户数
ExpiredSubscribers int64 `json:"expiredSubscribers"` // 已过期订阅用户数
TotalSubscribers int64 `json:"totalSubscribers"` // 历史总订阅用户数(去重)
ActiveTrend []TrendPoint `json:"activeTrend"` // 每日有效订阅用户数趋势
}
// CompletionRateResponse 内容质量:完播率
type CompletionRateResponse struct {
ProgramId string `json:"programId"`
Title string `json:"title"`
AvgCompletion float64 `json:"avgCompletion"` // 0.0 - 1.0 平均完播进度
PlayCount int64 `json:"playCount"` // 总播放样本数
}
// RetentionResponse 用户黏性:留存分析
type RetentionResponse struct {
Date string `json:"date"` // 初始日期
NewUsers int64 `json:"newUsers"` // 该日新增活跃用户数
Retention []float64 `json:"retention"` // [次日留存, 3日留存, 7日留存, 30日留存]
}
// FunnelResponse 商业转化:漏斗分析
type FunnelResponse struct {
ListenUsers int64 `json:"listenUsers"` // 活跃收听用户数
OrderUsers int64 `json:"orderUsers"` // 尝试下单用户数
PayUsers int64 `json:"payUsers"` // 支付成功用户数
LTV float64 `json:"ltv"` // 人均生命周期价值 (Revenue / ListenUsers)
}
// CategoryContribution 偏好探测:品类贡献点
type CategoryContribution struct {
CategoryId string `json:"categoryId"`
CategoryName string `json:"categoryName"`
ListenCount int64 `json:"listenCount"` // 播放量
Revenue int64 `json:"revenue"` // 营收(分)
Share float64 `json:"share"` // 营收占比 (0.0 - 1.0)
}
// PreferenceAnalysisResponse 品类偏好分析响应
type PreferenceAnalysisResponse struct {
List []CategoryContribution `json:"list"`
}
+21
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@@ -0,0 +1,21 @@
package radio
import (
"github.com/gin-gonic/gin"
)
type AnalyticsRouter struct{}
func (r *AnalyticsRouter) InitAnalyticsRouter(Router *gin.RouterGroup) {
analyticsRouter := Router.Group("radio/analytics")
{
analyticsRouter.GET("listening-trend", analyticsApi.GetListeningTrend)
analyticsRouter.GET("subscription-trend", analyticsApi.GetSubscriptionTrend)
analyticsRouter.GET("renewal-trend", analyticsApi.GetRenewalTrend)
analyticsRouter.GET("subscriber-stats", analyticsApi.GetSubscriberStats)
analyticsRouter.GET("content-quality", analyticsApi.GetContentQuality)
analyticsRouter.GET("user-stickiness", analyticsApi.GetUserStickiness)
analyticsRouter.GET("business-conversion", analyticsApi.GetBusinessConversion)
analyticsRouter.GET("preference", analyticsApi.GetPreferenceAnalysis)
}
}
+2
View File
@@ -10,6 +10,7 @@ type RadioRouterGroup struct {
InteractionRouter InteractionRouter
PayRouter PayRouter
VipRouter VipRouter
AnalyticsRouter
} }
var GroupApp = new(RadioRouterGroup) var GroupApp = new(RadioRouterGroup)
@@ -22,4 +23,5 @@ var (
interactionApi = v1.ApiGroupApp.RadioApiGroup.InteractionApi interactionApi = v1.ApiGroupApp.RadioApiGroup.InteractionApi
payApi = v1.ApiGroupApp.RadioApiGroup.PayApi payApi = v1.ApiGroupApp.RadioApiGroup.PayApi
vipApi = v1.ApiGroupApp.RadioApiGroup.VipApi vipApi = v1.ApiGroupApp.RadioApiGroup.VipApi
analyticsApi = v1.ApiGroupApp.RadioApiGroup.AnalyticsApi
) )
+299
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@@ -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
View File
@@ -10,6 +10,7 @@ type ServiceGroup struct {
OrderService OrderService
VipService VipService
TTSService TTSService
AnalyticsService
} }
var GroupApp = new(ServiceGroup) var GroupApp = new(ServiceGroup)
+36 -11
View File
@@ -15,30 +15,55 @@ var InteractionServiceApp = new(InteractionService)
// AddHistory 添加收听历史 // AddHistory 添加收听历史
func (s *InteractionService) AddHistory(userId string, req radioReq.AddHistory) error { 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 var history radio.RadioHistory
err := global.DB.Where("user_id = ? AND program_id = ?", userId, req.ProgramId).First(&history).Error err := global.DB.Where("user_id = ? AND program_id = ?", userId, req.ProgramId).First(&history).Error
if errors.Is(err, gorm.ErrRecordNotFound) { if errors.Is(err, gorm.ErrRecordNotFound) {
// 不存在,创建新记录
history = radio.RadioHistory{ history = radio.RadioHistory{
UserId: userId, UserId: userId,
ProgramId: req.ProgramId, ProgramId: req.ProgramId,
Progress: req.Progress, Progress: req.Progress,
Duration: req.Duration, Duration: req.Duration,
} }
return global.DB.Create(&history).Error if err := global.DB.Create(&history).Error; err != nil {
} return err
}
if err != nil { } 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 return err
} }
// 存在,更新进度 // 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
return global.DB.Model(&history).Updates(map[string]interface{}{ if req.Duration > 0 && program.Duration == 0 {
"progress": req.Progress, global.DB.Model(&radio.RadioProgram{}).Where("id = ?", req.ProgramId).Update("duration", req.Duration)
"duration": req.Duration, }
}).Error
// 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 // GetHistoryList 获取收听历史列表
+2 -5
View File
@@ -147,16 +147,13 @@ func (s *PayService) PayCallback(c *gin.Context) error {
TradeType: *transaction.TradeType, TradeType: *transaction.TradeType,
TransactionId: *transaction.TransactionId, TransactionId: *transaction.TransactionId,
} }
err = global.DB.Create(&payNotify).Error if err := tx.Create(&payNotify).Error; err != nil {
if err != nil {
global.Logger.Error("wxPay回调-存储数据异常:", zap.Error(err)) global.Logger.Error("wxPay回调-存储数据异常:", zap.Error(err))
return err
} }
if payNotify.TradeState == "SUCCESS" { if payNotify.TradeState == "SUCCESS" {
return OrderServiceApp.ExecuteOrderUnlock(tx, *transaction.OutTradeNo) return OrderServiceApp.ExecuteOrderUnlock(tx, *transaction.OutTradeNo)
} }
if err != nil {
return err
}
return nil return nil
}) })