Files
zyt/uniapp/scripts/generate-voice.mjs
T
longandCursor 275a7a550d feat(uniapp): 新增「练一练」器械跟练模块 MVP
- 节拍器 hook (useMetronome):setInterval + 漂移自校正,60-200 BPM 误差 <30ms
- 训练状态机 hook (useTrainingSession):组数/次数/休息阶段编排
- 语音引导 hook (useVoiceCoach):队列播放,关联节拍回调报数
- BGM hook (useTrainingBgm):训练/休息双音轨手写淡入淡出
- 5 个动作预设:哑铃弯举/推举/侧平举、握力环、健身环卷腹
- CSS 动画组件 exercise-anim:动画时长由 BPM 通过 CSS 变量驱动
- TTS 生成脚本 generate-voice.mjs:调小米 MiMo TTS 自动出 39 段语音
- 静态资源目录占位与素材准备说明

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-25 10:34:45 +08:00

214 lines
6.2 KiB
JavaScript
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#!/usr/bin/env node
/* eslint-disable no-console */
/**
* 用小米 MiMo TTS 生成训练语音素材
*
* 文档: https://platform.xiaomimimo.com/docs/en-US/usage-guide/speech-synthesis-v2.5
* 接口: POST https://api.xiaomimimo.com/v1/chat/completions
*
* 准备:
* export MIMO_API_KEY=sk-your-key-here
* (或 export XIAOMI_API_KEY=...)
*
* 运行:
* cd uniapp
* node scripts/generate-voice.mjs # 默认音色 冰糖
* node scripts/generate-voice.mjs --voice 茉莉
* node scripts/generate-voice.mjs --force # 已存在的也重新生成
*
* 输出:
* src/static/training/voice/numbers/{1..30}.mp3
* src/static/training/voice/prompts/{key}.mp3
*
* 需要 Node 18+(用内置 fetch
*/
import { mkdir, writeFile, access, stat } from 'node:fs/promises'
import { dirname, join } from 'node:path'
import { fileURLToPath } from 'node:url'
import { Buffer } from 'node:buffer'
const __filename = fileURLToPath(import.meta.url)
const __dirname = dirname(__filename)
const ROOT = join(__dirname, '..')
const VOICE_DIR = join(ROOT, 'src/static/training/voice')
const NUMBERS_DIR = join(VOICE_DIR, 'numbers')
const PROMPTS_DIR = join(VOICE_DIR, 'prompts')
// ============ 参数 ============
const args = process.argv.slice(2)
const FORCE = args.includes('--force')
const VOICE = pickArg('--voice') || '冰糖'
const MODEL = pickArg('--model') || 'mimo-v2.5-tts'
const FORMAT = pickArg('--format') || 'mp3'
const API_KEY =
process.env.MIMO_API_KEY ||
process.env.XIAOMI_API_KEY ||
process.env.XIAOMI_MIMO_API_KEY
const ENDPOINT =
process.env.MIMO_ENDPOINT || 'https://api.xiaomimimo.com/v1/chat/completions'
if (!API_KEY) {
console.error('❌ 未找到 API Key')
console.error(' 请先 export MIMO_API_KEY=your-key')
process.exit(1)
}
function pickArg(name) {
const idx = args.indexOf(name)
if (idx === -1) return null
return args[idx + 1]
}
// ============ 语音内容 ============
// 数字报数:简短的"教练点数"风格
const NUMBER_STYLE =
'用简短有力的健身教练口吻报数,干净利落,节奏明快,每个数字独立清晰。'
// 口令:温柔有鼓励性的女教练
const PROMPT_STYLE =
'用温柔但有力量的女教练口吻说话,语调亲切自然,节奏适中,像在带学员训练。'
const PROMPTS = {
start: '开始',
ready: '准备',
rest: '休息一下',
'next-set': '下一组开始',
'last-rep': '最后一次',
'keep-it-up': '继续坚持',
'good-job': '很棒,训练完成',
'breathe-in': '吸气',
'breathe-out': '呼气',
}
// ============ 工具 ============
async function fileExists(p) {
try {
await access(p)
return true
} catch {
return false
}
}
async function ensureDir(d) {
await mkdir(d, { recursive: true })
}
async function tts(text, outPath, styleInstruction) {
if (!FORCE && (await fileExists(outPath))) {
const s = await stat(outPath)
if (s.size > 0) {
console.log(`[skip] ${outPath} (已存在)`)
return
}
}
const body = {
model: MODEL,
messages: [
{ role: 'user', content: styleInstruction },
{ role: 'assistant', content: text },
],
audio: { format: FORMAT, voice: VOICE },
}
const res = await fetch(ENDPOINT, {
method: 'POST',
headers: {
'api-key': API_KEY,
'Content-Type': 'application/json',
},
body: JSON.stringify(body),
})
if (!res.ok) {
const errText = await res.text().catch(() => '')
throw new Error(`HTTP ${res.status} ${res.statusText}: ${errText.slice(0, 300)}`)
}
const json = await res.json()
const audioBase64 = json?.choices?.[0]?.message?.audio?.data
if (!audioBase64) {
throw new Error(
`响应里找不到 audio.data 字段。完整响应: ${JSON.stringify(json).slice(0, 500)}`,
)
}
const buf = Buffer.from(audioBase64, 'base64')
await writeFile(outPath, buf)
console.log(`[ok] ${outPath} (${buf.length} bytes) → "${text}"`)
}
async function sleep(ms) {
return new Promise((r) => setTimeout(r, ms))
}
// ============ 主流程 ============
async function main() {
console.log('====== 小米 MiMo TTS 语音生成 ======')
console.log(`Endpoint : ${ENDPOINT}`)
console.log(`Model : ${MODEL}`)
console.log(`Voice : ${VOICE}`)
console.log(`Format : ${FORMAT}`)
console.log(`Force : ${FORCE}`)
console.log(`Output : ${VOICE_DIR}`)
console.log('====================================\n')
await ensureDir(NUMBERS_DIR)
await ensureDir(PROMPTS_DIR)
let successCount = 0
let failCount = 0
console.log('--- 数字 1-30 ---')
for (let n = 1; n <= 30; n++) {
try {
await tts(String(n), join(NUMBERS_DIR, `${n}.${FORMAT}`), NUMBER_STYLE)
successCount++
await sleep(120)
} catch (e) {
failCount++
console.error(`[fail] 数字 ${n}: ${e.message}`)
}
}
console.log('\n--- 口令 ---')
for (const [key, text] of Object.entries(PROMPTS)) {
try {
await tts(text, join(PROMPTS_DIR, `${key}.${FORMAT}`), PROMPT_STYLE)
successCount++
await sleep(120)
} catch (e) {
failCount++
console.error(`[fail] ${key}: ${e.message}`)
}
}
console.log('\n====================================')
console.log(`成功 ${successCount} | 失败 ${failCount}`)
console.log('====================================')
if (FORMAT !== 'mp3') {
console.log(
`\n⚠️ 当前生成格式是 ${FORMAT},但 hooks/useVoiceCoach.ts 默认引用 .mp3。`,
)
console.log(' 要么换 --format mp3 重跑,要么修改 hooks 里的 src 后缀。')
}
console.log('\n下一步:')
console.log(' 1. 准备 click 音 → src/static/training/audio/click.mp3')
console.log(' 2. 准备 BGM → src/static/training/bgm/{train-light,rest-meditation}.mp3')
console.log(' 3. npm run dev:mp-weixin → 进入 /pages/training/index')
}
main().catch((e) => {
console.error('\n❌ 致命错误:', e)
process.exit(1)
})