850f919269
- storage: 新增 mergeRecords,云端记录与本地按 id 去重合并,restore 不再覆盖,解决训练中冷启动丢记录与多设备记录丢失 - storage: 新增 recomputeStreak,restore 后基于合并记录重算 streak, 不再信任云端 streak 值 - storage: 新增 _local_changed_at 标记,settings/profile/customPlans 在本地有未同步改动时保留本地,避免被云端旧值覆盖 - app: _restoreFromCloud 改合并 + 时间戳保护 + streak 重算;Case 2 合并后回推让两端收敛 - leaderboard: 模块级 60s 缓存 + 游标分页(_id > lastId)替代 skip, 全表扫描从每次打开降到 60s 内一次 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
178 lines
6.6 KiB
JavaScript
178 lines
6.6 KiB
JavaScript
const cloud = require('wx-server-sdk')
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cloud.init({ env: cloud.DYNAMIC_CURRENT_ENV })
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const db = cloud.database()
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const _ = db.command
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const COLLECTION = 'plank_data'
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const PAGE_SIZE = 100
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const DEFAULT_MAX_RANK = 100 // fallback if client doesn't pass maxRank
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const pad = (n) => String(n).padStart(2, '0')
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// Fixed UTC+8 offset — the user base is China-only and `new Date()` in
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// the cloud function runs in UTC, so without this shift "today" rolls
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// over at 08:00 Beijing instead of 00:00. If you ever support users in
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// other timezones, switch back to a client-provided date.
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const TZ_OFFSET_MS = 8 * 60 * 60 * 1000
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// In-instance cache of the latest doc per openid. The full-collection
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// scan + dedup is the expensive part of building the board; cache it for
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// a short TTL so repeated board opens (and day/month/year switches within
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// a session) reuse one scan. Cold starts just re-scan. Not persistent
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// across instances, which is fine - the board needn't be real-time.
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const CACHE_TTL = 60 * 1000
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let _docsCache = null // { latestByOpenid: Map, ts }
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const tsOf = (d) => {
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if (!d.updatedAt) return 0
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// CloudBase returns Date objects in the SDK, but be defensive in case
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// a stringified ISO timestamp sneaks through (older SDKs / migrations).
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if (d.updatedAt instanceof Date) return d.updatedAt.getTime()
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const t = new Date(d.updatedAt).getTime()
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return Number.isFinite(t) ? t : 0
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}
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// Page through the collection keeping only the most-recently-updated doc
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// per openid. Uses cursor pagination (_id > lastId) instead of skip(N):
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// skip is O(N) and degrades as the collection grows; a cursor is constant
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// cost per page, and default get() order (_id ascending) won't drop/dup.
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const _fetchLatestByOpenid = async () => {
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if (_docsCache && (Date.now() - _docsCache.ts) < CACHE_TTL) {
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return _docsCache.latestByOpenid
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}
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const latestByOpenid = new Map()
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// Exclude accounts that haven't synced in 90+ days to bound the scan.
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// Docs without an updatedAt field (pre-fix legacy) are included as well.
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const ninetyDaysAgo = new Date(Date.now() - 90 * 24 * 60 * 60 * 1000)
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let lastId = ''
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while (true) {
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const cond = lastId
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? _.and([
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_.or([{ updatedAt: _.gte(ninetyDaysAgo) }, { updatedAt: _.exists(false) }]),
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{ _id: _.gt(lastId) }
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])
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: _.or([{ updatedAt: _.gte(ninetyDaysAgo) }, { updatedAt: _.exists(false) }])
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const res = await db.collection(COLLECTION).where(cond).limit(PAGE_SIZE).get()
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if (!res.data || res.data.length === 0) break
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for (const doc of res.data) {
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const openid = doc._openid || 'unknown'
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const current = latestByOpenid.get(openid)
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if (!current || tsOf(doc) > tsOf(current)) {
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latestByOpenid.set(openid, doc)
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}
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}
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if (res.data.length < PAGE_SIZE) break
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lastId = res.data[res.data.length - 1]._id
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}
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_docsCache = { latestByOpenid, ts: Date.now() }
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return latestByOpenid
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}
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exports.main = async (event) => {
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const { period, maxRank } = event || {}
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const limit = Math.max(1, Math.min(parseInt(maxRank) || DEFAULT_MAX_RANK, 500))
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if (!period) return { err: 'missing period' }
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const now = new Date()
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const local = new Date(now.getTime() + TZ_OFFSET_MS)
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const today = `${local.getUTCFullYear()}-${pad(local.getUTCMonth() + 1)}-${pad(local.getUTCDate())}`
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const thisMonth = today.substring(0, 7)
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// Year is computed from the same shifted date so year boundaries also
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// align with Beijing's midnight, not UTC's.
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const thisYear = String(local.getUTCFullYear())
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const myOpenid = cloud.getWXContext().OPENID
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let prefix, exact
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if (period === 'day') { exact = today; prefix = null }
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else if (period === 'month') { prefix = thisMonth; exact = null }
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else if (period === 'year') { prefix = thisYear; exact = null }
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else return { err: 'invalid period' }
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const userMap = new Map()
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// Latest doc per openid (cached + cursor-paginated in _fetchLatestByOpenid).
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// Dedup rationale: a user may have multiple docs from the pre-fix cold-
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// start add() bug; only the latest updatedAt counts, else we'd sum the
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// same records N times and inflate the board. Latest (not first) also
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// gives the freshest profile.nickname before admin-dedupe runs.
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const latestByOpenid = await _fetchLatestByOpenid()
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// Second pass: each openid appears exactly once, so the accumulation
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// logic doesn't need any dedup guards.
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for (const doc of latestByOpenid.values()) {
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const openid = doc._openid || 'unknown'
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const records = doc.records || {}
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let duration = 0
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let sessions = 0
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for (const monthKey of Object.keys(records)) {
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if (prefix && !monthKey.startsWith(prefix)) continue
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for (const r of records[monthKey]) {
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if (period === 'day') {
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// Use startsWith rather than === to tolerate date strings with
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// trailing time/zone info (e.g. "2026-06-11T09:11:24.587Z" if
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// some legacy path stored an ISO date) and to be timezone-
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// agnostic when client local date differs from server UTC date.
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if (r.date.startsWith(exact)) { duration += r.duration; sessions++ }
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} else {
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if (r.date.startsWith(prefix)) { duration += r.duration; sessions++ }
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}
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}
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}
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if (duration > 0) {
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const profile = doc.profile || {}
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userMap.set(openid, {
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openid,
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duration,
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sessions,
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nickname: profile.nickname || ''
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})
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}
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}
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// Full sorted list (for ranking)
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const allSorted = Array.from(userMap.values())
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.sort((a, b) => b.duration - a.duration)
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// My entry always included, even if outside top N
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const myEntry = userMap.get(myOpenid)
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const myRank = myEntry ? allSorted.findIndex(e => e.openid === myOpenid) + 1 : 0
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// Resolve display name: prefer the user's chosen nickname, fall back to
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// a masked openid for users who haven't set one.
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const _displayName = (entry) =>
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(entry && entry.nickname && entry.nickname.trim()) ||
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maskOpenid(entry && entry.openid)
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// Top N for the board
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const ranked = allSorted.slice(0, limit).map((item, i) => ({
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rank: i + 1,
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openid: item.openid,
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nickname: item.nickname || '',
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name: _displayName(item),
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duration: item.duration,
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sessions: item.sessions
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}))
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return {
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period,
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ranked,
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myOpenid,
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myEntry: myEntry ? {
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rank: myRank,
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openid: myEntry.openid,
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nickname: myEntry.nickname || '',
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name: _displayName(myEntry),
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duration: myEntry.duration,
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sessions: myEntry.sessions
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} : null,
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updatedAt: now.toISOString()
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}
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}
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function maskOpenid(openid) {
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if (!openid || openid === 'unknown') return '未知用户'
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if (openid.length <= 4) return '****' + openid
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return '****' + openid.slice(-4)
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} |