1d55df72b3
Major features: - Training plan editor: edit preset days/duration per plan (in-place override via custom_plans storage; preset ids preserved so existing records stay valid) - Voice prompts at 4 fixed points during training (halfway / 30s / 10s / done) via Tencent Cloud TTS (cloudfunctions/tts + utils/voice.js) - Free-training button: switched from outline (transparent) to ghost variant (theme-tinted) for visual weight Bug fixes: - 4 functional pages: SVG data URIs failed to render in WeChat because '\#' in colors was parsed as a data-URI fragment delimiter. encode the whole SVG via encodeURIComponent in utils/icons.js build(). - Old records (saved before id field was added) could not be deleted (data-id was empty, triggered defensive guard). Backfill stable legacy-<month>-<index>-<duration> ids in getRecords() and persist. - settings.js plan-row editor button event was bubbling up to the row's bindtap (which also fired onSelectPlan). Wrapped in catch:tap. UI: - Settings page: 3 hardcoded plans replaced with dynamic buildPlansList that overlays custom_plans on top of presets - Plan editor: bottom-sheet modal in settings page (regular view, not ui-modal — WeChat custom component root element drops position:fixed in this runtime) - Free-training button: rounded pill style, full-width, 24rpx gap from primary action; bottom sheet uses max-height: 88vh + internal scroll - Version bumped to v1.5, last updated 2026-06-10 Removed: - Daily reminder section (dailyReminder / reminderTime) — replaced by the 4 voice prompts which cover the same user need without requiring long-term scheduling that WeChat mini-programs can't actually do Misc: - utils/plan.js refactored to formula-driven: presets declare totalDays/startTarget/increment/cycleDays, days[] is generated. Same formula applies to custom plans. - Timer _remind() guards each prompt on minimum duration so short free-mode sessions don't fire 'last30' at the start - Cloud storage cloud_plans field added to data push payload; restored on first install via _restoreFromCloud - .gitignore added for local AI tool caches (.reasonix/, reasonix.toml, .codegraph/daemon.pid)
98 lines
3.5 KiB
JavaScript
98 lines
3.5 KiB
JavaScript
// Cloud function: synthesize the 4 fixed training-voice prompts.
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//
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// We do NOT cache on the server. Two reasons:
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// 1. Caching via cloud storage requires self-constructing a fileID of
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// the form `cloud://<full-env-id>/...`, but `getWXContext().ENV`
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// only returns the simple env id. Mismatched → unopenable fileID.
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// 2. Caching via the cloud database requires `cloud.database()` at
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// top level, which on this WeChat cloud runtime crashes the SCF
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// framework's `writeRuntimeFile` step (it can't toString() the
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// error object the SDK throws).
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//
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// The client (`utils/voice.js`) caches audioUrls in memory per session,
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// so each of the 4 prompts is synthesized at most once per app launch.
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// Re-synthesizing on app restart is fine — 800万 chars/month free tier
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// covers 4 × ~30 chars × thousands of restarts per month.
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//
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// Configuration (云开发控制台 → 云函数 → tts → 函数配置 → 环境变量):
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// TTS_SECRET_ID — Tencent Cloud API key id
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// TTS_SECRET_KEY — Tencent Cloud API key
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// TTS_REGION — (optional) defaults to ap-guangzhou
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//
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// NOTE: env var names cannot start with SCF_ / QCLOUD_ / TENCENTCLOUD_ —
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// those prefixes are reserved by Tencent Cloud SCF. Use the TTS_ prefix.
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const cloud = require('wx-server-sdk')
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cloud.init()
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// Polished, fixed prompts.
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const PROMPTS = {
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halfway: '已完成一半啦,坚持就是胜利!',
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last30: '最后30秒,保持呼吸,稳住姿势!',
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last10: '最后10秒,再加把劲!',
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complete: '太棒了!今天的目标已完成,继续加油!'
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}
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const CACHE_DIR = 'tts-cache'
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const _synthesize = async (text, promptKey) => {
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let TtsClient
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try {
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TtsClient = require('tencentcloud-sdk-nodejs').tts.v20190823.Client
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} catch (e) {
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throw new Error('tencentcloud-sdk-nodejs not installed. Run `npm i tencentcloud-sdk-nodejs` in this cloud function directory.')
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}
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const secretId = process.env.TTS_SECRET_ID
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const secretKey = process.env.TTS_SECRET_KEY
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if (!secretId || !secretKey) {
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throw new Error('TTS_SECRET_ID / TTS_SECRET_KEY not configured.')
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}
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const client = new TtsClient({
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credential: { secretId, secretKey },
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region: process.env.TTS_REGION || 'ap-guangzhou'
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})
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const res = await client.TextToVoice({
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Text: text,
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SessionId: `${promptKey}-${Date.now()}-${Math.random().toString(36).slice(2, 10)}`,
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VoiceType: 101001, // 智瑜,温柔女声
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Codec: 'mp3',
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SampleRate: 16000,
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Speed: 0,
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Volume: 5
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})
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return Buffer.from(res.Audio, 'base64')
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}
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const _upload = async (key, buffer) => {
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const cloudPath = `${CACHE_DIR}/${key}.mp3`
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// uploadFile returns the canonical fileID (e.g. "cloud://env.xxx/...").
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// We must use THAT — not the relative cloudPath we passed in — when
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// calling getTempFileURL. A self-constructed fileID is invalid.
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const res = await cloud.uploadFile({ cloudPath, fileContent: buffer })
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return res.fileID
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}
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exports.main = async (event) => {
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const { promptKey } = event || {}
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const text = PROMPTS[promptKey]
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if (!text) {
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return { success: false, error: `Unknown prompt key: ${promptKey}` }
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}
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try {
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const buffer = await _synthesize(text, promptKey)
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const newFileID = await _upload(promptKey, buffer)
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const urlRes = await cloud.getTempFileURL({ fileList: [newFileID] })
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const url = urlRes.fileList[0].tempFileURL
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if (!url) {
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return { success: false, error: 'getTempFileURL returned empty URL', text }
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}
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return { success: true, audioUrl: url, text }
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} catch (e) {
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return { success: false, error: e.message, text }
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}
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}
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