feat(stats): 新增公开数据页 /stats，入口收敛到页脚
首页底部那张「站点统计」卡片下线，完整数据移到公开只读页 /stats： 今日实时数、概览六格、近 30 天折线与 12 个月柱状、三个占比环、 7×24 时段热力图、提问字数与回答耗时分布。 - 聚合在 internal/db/analytics.go（SUM(CASE WHEN)，方言差异收敛在 analyticsDialectFor） - 结果按自然日缓存，跨日重算一次后全站共用；重算失败降级返回上一份快照 - 图表零前端依赖：服务端算坐标的 SVG + CSS grid，禁用 JS 页面仍完整 - 环比取「上月 vs 上上月」：本月未过完，否则每月 1 号会得出 -95% - 入口只在页脚「社区规则」与「找站长」之间；route.Home 不再计算统计 - 补 questions(created_at) 索引；启动后异步预热当天快照 - 测试：analytics 连真库验证软删除不计入、分桶下标、DOW 对齐
This commit is contained in:
tamakyi
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// Copyright 2022 E99p1ant. All rights reserved.
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// Use of this source code is governed by a MIT-style
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// license that can be found in the LICENSE file.
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package stats
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import (
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"context"
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"sync"
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"time"
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"github.com/sirupsen/logrus"
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"github.com/tamakyi/TamaBox/internal/db"
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)
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// Overview 是「全站数据」页的展示模型。
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//
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// 与 View 的区别：View 是首页那张三行小卡片的口径（30 分钟缓存、只有三个累计数），
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// Overview 是完整聚合（趋势、构成、热力图、内容分布），按自然日缓存 —— 也就是
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// 「每天更新一次」：当天第一次访问重算，之后全站共用同一份结果。
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type Overview struct {
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// 累计概览
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RegisteredUsers int64
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TotalQuestions int64
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Answered int64
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Public int64
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Private int64
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Read int64
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Unread int64
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Anonymous int64
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LoggedIn int64
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ActiveBoxes int64
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AnsweringBoxes int64
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TotalMessages int64
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LastQuestionAt string
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LastAnswerAt string
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AnswerRate float64 // 已回答 / 总提问，百分比
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FastReplyRate float64 // 24 小时内获得回答的比例，百分比
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Total30 int64 // 近 30 天提问总数
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AvgDailyLast30 float64 // 近 30 天日均提问
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GrowthMoM float64 // 本月提问量相对上月的环比，百分比（上月为 0 时置 0）
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HasPrevMonth bool // 上月是否有数据，决定要不要展示环比
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// 今日实时（不参与每日缓存）
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TodayQuestions int64
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TodayAnswers int64
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// 趋势（已补齐空日期，值为 0 的日期也占位，避免折线跳过）
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Daily []DailyPoint
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Monthly []MonthlyPoint
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DailyMax int64
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MonthlyMax int64
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PeakDay DailyPoint
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BusiestWD int // 0=周日
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BusiestHr int // 0-23
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// 热力图
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Heatmap [7][24]int64
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HeatmapMax int64
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HeatmapDays int
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// 内容分布
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LengthBins [6]int64
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ReplyBins [6]int64
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// 元信息
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UpdatedAt string
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DataDate string
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}
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// DailyPoint 某一天的提问量。
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type DailyPoint struct {
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Date string // 2026-10-01
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Label string // 10-01
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N int64
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}
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// MonthlyPoint 某个月的提问量。
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type MonthlyPoint struct {
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Month string // 2026-10
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Label string // 10
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N int64
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Current bool // 是否为当月（页面高亮最后一根柱子）
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}
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const (
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dailyWindowDays = 30
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monthlyWindow = 12
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)
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var (
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ovMu sync.Mutex
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ovCached *Overview
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ovDay string
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// ovRefresh 串行化重算：一天的第一个请求承担全部聚合，其余请求等它算完直接复用，
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// 避免多个并发请求同时打一轮全表 GROUP BY（1C1G 上会互相拖慢）。
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ovRefresh sync.Mutex
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)
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// OverviewData 返回全站数据页所需的聚合结果，按自然日缓存。
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//
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// 聚合失败时若手上还有昨天的结果，就继续返回旧的（页面照常打开，只是数据停在昨天）；
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// 完全没有可用结果才返回错误。
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func OverviewData(ctx context.Context) (*Overview, error) {
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today := time.Now().Format("2006-01-02")
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ovMu.Lock()
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cached, day := ovCached, ovDay
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ovMu.Unlock()
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if cached != nil && day == today {
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return cached, nil
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}
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ovRefresh.Lock()
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defer ovRefresh.Unlock()
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// 二次检查：等锁期间可能已有别的请求刷新过。
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ovMu.Lock()
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cached, day = ovCached, ovDay
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ovMu.Unlock()
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if cached != nil && day == today {
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return cached, nil
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}
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if db.Analytics == nil {
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// 单测里没有初始化数据库时不应 panic，交给调用方回退。
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return nil, errNoDatabase
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}
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now := time.Now()
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raw, err := db.Analytics.SiteAnalytics(ctx, now)
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if err != nil {
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logrus.WithContext(ctx).WithError(err).Warn("计算全站统计数据失败")
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if cached != nil {
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return cached, nil
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}
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return nil, err
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}
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v := buildOverview(raw, now)
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ovMu.Lock()
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ovCached = v
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ovDay = today
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ovMu.Unlock()
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return v, nil
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}
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// InvalidateOverview 丢弃缓存，供需要立即看到新数字的场景调用。
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func InvalidateOverview() {
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ovMu.Lock()
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ovCached = nil
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ovDay = ""
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ovMu.Unlock()
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}
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var errNoDatabase = errString("database not initialized")
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type errString string
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func (e errString) Error() string { return string(e) }
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func buildOverview(raw *db.SiteAnalytics, now time.Time) *Overview {
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v := &Overview{
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RegisteredUsers: raw.RegisteredUsers,
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TotalQuestions: raw.TotalQuestions,
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Answered: raw.Answered,
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Public: raw.TotalQuestions - raw.Private,
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Private: raw.Private,
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Read: raw.Read,
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Unread: raw.TotalQuestions - raw.Read,
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Anonymous: raw.Anonymous,
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LoggedIn: raw.TotalQuestions - raw.Anonymous,
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ActiveBoxes: raw.ActiveBoxes,
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AnsweringBoxes: raw.AnsweringBoxes,
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TotalMessages: raw.TotalMessages,
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TodayQuestions: raw.TodayQuestions,
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TodayAnswers: raw.TodayAnswers,
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Heatmap: raw.Heatmap,
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HeatmapDays: raw.HeatmapDays,
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LengthBins: raw.LengthBins,
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ReplyBins: raw.ReplyBins,
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DataDate: now.Format("2006-01-02"),
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}
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if v.Public < 0 {
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v.Public = 0
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}
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if v.Unread < 0 {
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v.Unread = 0
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}
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if v.LoggedIn < 0 {
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v.LoggedIn = 0
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}
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if raw.LastQuestionAt != nil {
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v.LastQuestionAt = raw.LastQuestionAt.Format("2006-01-02 15:04:05")
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}
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if raw.LastAnswerAt != nil {
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v.LastAnswerAt = raw.LastAnswerAt.Format("2006-01-02 15:04:05")
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}
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if v.TotalQuestions > 0 {
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v.AnswerRate = percent(v.Answered, v.TotalQuestions)
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}
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if answered := v.Answered; answered > 0 {
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v.FastReplyRate = percent(v.ReplyBins[0]+v.ReplyBins[1]+v.ReplyBins[2], answered)
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}
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v.Daily = buildDaily(raw.Daily, now, dailyWindowDays)
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v.Monthly = buildMonthly(raw.Monthly, now, monthlyWindow)
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for _, p := range v.Daily {
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if p.N > v.DailyMax {
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v.DailyMax = p.N
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}
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if p.N >= v.PeakDay.N {
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v.PeakDay = p
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}
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}
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var dailySum int64
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for _, p := range v.Daily {
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dailySum += p.N
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}
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v.Total30 = dailySum
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v.AvgDailyLast30 = float64(dailySum) / float64(dailyWindowDays)
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for _, p := range v.Monthly {
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if p.N > v.MonthlyMax {
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v.MonthlyMax = p.N
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}
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}
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// 环比取「上月 vs 上上月」而不是「本月 vs 上月」：本月通常还没过完，
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// 拿一个残月去比完整月份，每月 1 号都会得出 -95% 这种毫无意义的结论。
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if n := len(v.Monthly); n >= 3 && v.Monthly[n-3].N > 0 {
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prev := float64(v.Monthly[n-3].N)
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v.HasPrevMonth = true
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v.GrowthMoM = (float64(v.Monthly[n-2].N) - prev) / prev * 100
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}
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for _, row := range v.Heatmap {
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for _, n := range row {
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if n > v.HeatmapMax {
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v.HeatmapMax = n
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}
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}
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}
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v.BusiestWD, v.BusiestHr = busiestSlot(v.Heatmap)
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v.UpdatedAt = now.Format("2006-01-02 15:04:05")
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return v
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}
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// buildDaily 把「只有有数据的那几天」补齐成连续 N 天，折线才不会在无数据的日期断开。
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func buildDaily(raw []db.CountPoint, now time.Time, days int) []DailyPoint {
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index := make(map[string]int64, len(raw))
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for _, p := range raw {
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index[p.Key] = p.N
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}
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start := time.Date(now.Year(), now.Month(), now.Day(), 0, 0, 0, 0, now.Location()).
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AddDate(0, 0, -(days - 1))
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out := make([]DailyPoint, 0, days)
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for i := 0; i < days; i++ {
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d := start.AddDate(0, 0, i)
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key := d.Format("2006-01-02")
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out = append(out, DailyPoint{Date: key, Label: d.Format("01-02"), N: index[key]})
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}
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return out
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}
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func buildMonthly(raw []db.CountPoint, now time.Time, months int) []MonthlyPoint {
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index := make(map[string]int64, len(raw))
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for _, p := range raw {
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index[p.Key] = p.N
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}
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start := time.Date(now.Year(), now.Month(), 1, 0, 0, 0, 0, now.Location()).
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AddDate(0, -(months - 1), 0)
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out := make([]MonthlyPoint, 0, months)
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for i := 0; i < months; i++ {
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m := start.AddDate(0, i, 0)
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key := m.Format("2006-01")
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out = append(out, MonthlyPoint{Month: key, Label: m.Format("01"), N: index[key], Current: i == months-1})
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}
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return out
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}
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// busiestSlot 找出提问最集中的「星期 × 小时」。同值时取更早的下标，结果稳定可复现。
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func busiestSlot(heatmap [7][24]int64) (weekday, hour int) {
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best := int64(-1)
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for d := 0; d < 7; d++ {
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for h := 0; h < 24; h++ {
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if heatmap[d][h] > best {
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best = heatmap[d][h]
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weekday, hour = d, h
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}
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}
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}
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return weekday, hour
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}
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func percent(part, total int64) float64 {
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if total <= 0 {
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return 0
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}
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return float64(part) / float64(total) * 100
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}
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@@ -0,0 +1,107 @@
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// Copyright 2022 E99p1ant. All rights reserved.
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// Use of this source code is governed by a MIT-style
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// license that can be found in the LICENSE file.
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package stats
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import (
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"testing"
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"time"
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"github.com/stretchr/testify/require"
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"github.com/tamakyi/TamaBox/internal/db"
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)
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// TestBuildDailyFillsGaps 没有数据的日期必须占位，否则折线会把两天连成一条直线，
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// 让人以为「那天也有提问」。
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func TestBuildDailyFillsGaps(t *testing.T) {
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now := time.Date(2026, 10, 23, 15, 30, 0, 0, time.Local)
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got := buildDaily([]db.CountPoint{{Key: "2026-10-20", N: 5}}, now, 5)
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require.Len(t, got, 5)
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require.Equal(t, "2026-10-19", got[0].Date)
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require.Equal(t, "2026-10-23", got[4].Date)
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require.EqualValues(t, 0, got[0].N)
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require.EqualValues(t, 5, got[1].N, "10-20 是窗口里的第 2 天")
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}
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// TestBuildMonthlyNoMonthOverflow 月底不能溢出：3-31 直接 AddDate(0,-11,0) 会滚到 3 月初，
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// 12 根柱子就变成 11 根。实现里先归到当月 1 号，这里守住这个行为。
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func TestBuildMonthlyNoMonthOverflow(t *testing.T) {
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now := time.Date(2026, 3, 31, 0, 0, 0, 0, time.Local)
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got := buildMonthly(nil, now, 12)
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require.Len(t, got, 12)
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require.Equal(t, "2025-04", got[0].Month)
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require.Equal(t, "2026-03", got[11].Month)
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require.True(t, got[11].Current, "最后一根柱子是当月")
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require.False(t, got[0].Current)
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}
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// TestBusiestSlot 同值时取更早的下标，保证同一份数据每次算出来的结论一致。
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func TestBusiestSlot(t *testing.T) {
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var heatmap [7][24]int64
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heatmap[2][9] = 10
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heatmap[5][20] = 10
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wd, hr := busiestSlot(heatmap)
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require.Equal(t, 2, wd)
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require.Equal(t, 9, hr)
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}
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// TestOverviewEmptyNoDivideByZero 全零数据不能除零，也不能编出不存在的结论。
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func TestOverviewEmptyNoDivideByZero(t *testing.T) {
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v := buildOverview(&db.SiteAnalytics{}, time.Now())
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require.Zero(t, v.AnswerRate)
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require.Zero(t, v.FastReplyRate)
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require.Zero(t, v.GrowthMoM)
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require.False(t, v.HasPrevMonth)
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require.Len(t, v.Daily, dailyWindowDays)
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require.Len(t, v.Monthly, monthlyWindow)
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page := NewPage("zh-CN", v)
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require.Len(t, page.Insights, 1, "空库只说一句「数据还太少」")
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require.Equal(t, "提问数据还太少，暂时看不出什么。", page.Insights[0])
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}
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// TestOverviewDerived 派生指标：回答率、环比、最忙时段、24 小时内回复占比。
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func TestOverviewDerived(t *testing.T) {
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now := time.Now()
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monthStart := time.Date(now.Year(), now.Month(), 1, 0, 0, 0, 0, now.Location())
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prevMonth := monthStart.AddDate(0, -1, 0).Format("2006-01")
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monthBefore := monthStart.AddDate(0, -2, 0).Format("2006-01")
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raw := &db.SiteAnalytics{
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TotalQuestions: 200, Answered: 50, Private: 20,
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Anonymous: 120,
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Daily: []db.CountPoint{{Key: now.Format("2006-01-02"), N: 7}},
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// 环比看的是「上月」与「上上月」：本月还没过完，当年 10 月为 0 会把结论带偏。
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Monthly: []db.CountPoint{
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{Key: monthBefore, N: 100},
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{Key: prevMonth, N: 50},
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},
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LengthBins: [6]int64{1, 2, 3, 4, 5, 6},
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ReplyBins: [6]int64{10, 10, 10, 10, 5, 5},
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}
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raw.Heatmap[1][8] = 40
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v := buildOverview(raw, now)
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require.InDelta(t, 25.0, v.AnswerRate, 0.001)
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require.InDelta(t, 60.0, v.FastReplyRate, 0.001, "(10+10+10)/50 在 24 小时内")
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require.Equal(t, 180, int(v.Public))
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require.Equal(t, 80, int(v.LoggedIn))
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require.Equal(t, 1, v.BusiestWD)
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require.Equal(t, 8, v.BusiestHr)
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require.EqualValues(t, 40, v.HeatmapMax)
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require.True(t, v.HasPrevMonth)
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require.InDelta(t, -50.0, v.GrowthMoM, 0.001, "9 月 50 相对 8 月 100 是 -50%")
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page := NewPage("zh-CN", v)
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require.NotEmpty(t, page.Insights)
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require.Len(t, page.WeekdayLabels, 7)
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||||
require.Len(t, page.LengthLabels, 6)
|
||||
require.Len(t, page.ReplyLabels, 6)
|
||||
}
|
||||
@@ -0,0 +1,152 @@
|
||||
// Copyright 2022 E99p1ant. All rights reserved.
|
||||
// Use of this source code is governed by a MIT-style
|
||||
// license that can be found in the LICENSE file.
|
||||
|
||||
package stats
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"math"
|
||||
|
||||
"github.com/tamakyi/TamaBox/internal/i18n"
|
||||
)
|
||||
|
||||
// Page 是 /stats 模板的渲染模型：在 Overview 之上补齐多语言标签、
|
||||
// 图形需要的百分比，以及自动生成的文字结论。
|
||||
//
|
||||
// 为什么标签在这一层拼而不是模板里拼：桶标签是按序号取的（stats.len.3 之类），
|
||||
// 模板里 printf 拼 key 一旦缺词条就会把 key 本身印到页面上；集中在这里拼，
|
||||
// 缺词条时页面最多少一行文字，不会露出内部 key。
|
||||
type Page struct {
|
||||
*Overview
|
||||
|
||||
WeekdayLabels []string
|
||||
LengthLabels []string
|
||||
ReplyLabels []string
|
||||
Insights []string
|
||||
|
||||
DailyValues []int64
|
||||
MonthlyValues []int64
|
||||
// HeatmapRows 按「周一 … 周日」重排后的热力图（Overview 里以周日为下标 0）。
|
||||
HeatmapRows [7][24]int64
|
||||
|
||||
MonthlyPcts []float64
|
||||
LengthPcts []float64
|
||||
ReplyPcts []float64
|
||||
}
|
||||
|
||||
// weekdayOrder 热力图与图例的展示顺序：从周一排到周日（数据库的 DOW 以周日为 0）。
|
||||
var weekdayOrder = []int{1, 2, 3, 4, 5, 6, 0}
|
||||
|
||||
// NewPage 把聚合结果转成模板可直接渲染的模型。
|
||||
func NewPage(lang string, ov *Overview) *Page {
|
||||
p := &Page{Overview: ov}
|
||||
|
||||
for i := range weekdayOrder {
|
||||
p.WeekdayLabels = append(p.WeekdayLabels, i18n.T(lang, fmt.Sprintf("stats.wd.%d", i+1)))
|
||||
}
|
||||
for i := 1; i <= len(ov.LengthBins); i++ {
|
||||
p.LengthLabels = append(p.LengthLabels, i18n.T(lang, fmt.Sprintf("stats.len.%d", i)))
|
||||
}
|
||||
for i := 1; i <= len(ov.ReplyBins); i++ {
|
||||
p.ReplyLabels = append(p.ReplyLabels, i18n.T(lang, fmt.Sprintf("stats.reply.%d", i)))
|
||||
}
|
||||
|
||||
for _, d := range ov.Daily {
|
||||
p.DailyValues = append(p.DailyValues, d.N)
|
||||
}
|
||||
for _, m := range ov.Monthly {
|
||||
p.MonthlyValues = append(p.MonthlyValues, m.N)
|
||||
}
|
||||
for i, d := range weekdayOrder {
|
||||
p.HeatmapRows[i] = ov.Heatmap[d]
|
||||
}
|
||||
|
||||
p.MonthlyPcts = toPercents(p.MonthlyValues)
|
||||
p.LengthPcts = toPercents(ov.LengthBins[:])
|
||||
p.ReplyPcts = toPercents(ov.ReplyBins[:])
|
||||
|
||||
p.Insights = insights(lang, ov)
|
||||
return p
|
||||
}
|
||||
|
||||
// toPercents 把一组计数换算成相对最大值的百分比，供 CSS 直接当宽度 / 高度用。
|
||||
func toPercents(values []int64) []float64 {
|
||||
var max int64
|
||||
for _, n := range values {
|
||||
if n > max {
|
||||
max = n
|
||||
}
|
||||
}
|
||||
out := make([]float64, len(values))
|
||||
if max == 0 {
|
||||
return out
|
||||
}
|
||||
for i, n := range values {
|
||||
out[i] = float64(n) / float64(max) * 100
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
// insights 生成几句人话结论。
|
||||
//
|
||||
// 只陈述能从聚合数字直接读到的事实（最忙的一天、最集中的时段、环比、回复速度），
|
||||
// 不做趋势预测、也不写「大家更活跃了」这类评价 —— 支撑那种判断的数据这张表里没有。
|
||||
func insights(lang string, ov *Overview) []string {
|
||||
t := func(key string, args ...interface{}) string { return i18n.T(lang, key, args...) }
|
||||
out := make([]string, 0, 6)
|
||||
|
||||
if ov.TotalQuestions == 0 {
|
||||
return append(out, t("stats.insight.empty"))
|
||||
}
|
||||
|
||||
out = append(out, t("stats.insight.daily30",
|
||||
numText(ov.Total30), math.Round(ov.AvgDailyLast30*10)/10))
|
||||
|
||||
if ov.PeakDay.N > 0 {
|
||||
out = append(out, t("stats.insight.peak", ov.PeakDay.Label, numText(ov.PeakDay.N)))
|
||||
}
|
||||
|
||||
if ov.HeatmapMax > 0 {
|
||||
// DOW 以周日为 0，展示顺序以周一为 1，换算到 stats.wd.N。
|
||||
wd := (ov.BusiestWD+6)%7 + 1
|
||||
out = append(out, t("stats.insight.busiest",
|
||||
i18n.T(lang, fmt.Sprintf("stats.wd.%d", wd)), ov.BusiestHr))
|
||||
}
|
||||
|
||||
if ov.HasPrevMonth {
|
||||
out = append(out, t("stats.insight.mom", fmt.Sprintf("%+.1f", ov.GrowthMoM)))
|
||||
}
|
||||
|
||||
if ov.Answered > 0 {
|
||||
out = append(out, t("stats.insight.fastReply", fmt.Sprintf("%.1f", ov.FastReplyRate)))
|
||||
}
|
||||
|
||||
out = append(out, t("stats.insight.private",
|
||||
fmt.Sprintf("%.1f", 100-float64(ov.Public)/float64(ov.TotalQuestions)*100)))
|
||||
|
||||
return out
|
||||
}
|
||||
|
||||
// numText 加千分位（2148 → "2,148"）。
|
||||
//
|
||||
// 模板侧有同名功能的 NumInt，但它在 internal/template 里；统计层反过来依赖渲染层
|
||||
// 会让依赖方向变脏，所以这里重新写一份十行的实现。
|
||||
func numText(v int64) string {
|
||||
s := fmt.Sprintf("%d", v)
|
||||
if len(s) <= 3 {
|
||||
return s
|
||||
}
|
||||
var b []byte
|
||||
lead := len(s) % 3
|
||||
if lead > 0 {
|
||||
b = append(b, s[:lead]...)
|
||||
}
|
||||
for i := lead; i < len(s); i += 3 {
|
||||
if len(b) > 0 {
|
||||
b = append(b, ',')
|
||||
}
|
||||
b = append(b, s[i:i+3]...)
|
||||
}
|
||||
return string(b)
|
||||
}
|
||||
Reference in New Issue
Block a user