- SKILL.md: 新增工作流阶段定义、质量卡点、分镜规则 - manifest-schema.md: 补充完整字段规范及类型定义 - phase-tts.js: 优化 TTS 合成长逻辑,添加进度追踪 - capcut-tracks.js: 扩展轨道构建能力,支持更多元素类型 - capcut-timeline.js: 改进时间线生成,支持淡入淡出 - capcut_assemble.js: 新增 assemble 阶段完整实现 - cmd-init.js: 完善 init 命令逻辑 - qwen-tts.js: 调整超时配置 - accounts/禁忌帝王学: 更新拆分/图像/台词提示词 - accounts/健身跟练: 新增账号含 account.json 及全套提示词模板 - 新增 workflow-issues-20260501.md 参考文档 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
192 lines
6.8 KiB
JavaScript
192 lines
6.8 KiB
JavaScript
/**
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* Phase: tts — 语音合成(先分段,后合成)
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*
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* 核心变化:音频分段优先于生图。
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*
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* 1. 在生成图片之前,先将文案按语义断点切分为多个音频片段
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* 2. 每个片段时长 < videoModel 固定时长(Kling=6s)
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* 3. 逐段合成,记录实测时长,写入 manifest.segments[]
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* 4. manifest.items[n].segments = [{text, audio, duration, startOffset}, ...]
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* 5. manifest.items[n].audioDuration = 片段总和(供 assemble 计算 ratio)
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*
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* 流程顺序变为:tts → images → upload → videos → assemble
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*/
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const path = require('path')
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const { saveManifest, ensureDir, log, getManifestDir, splitTextIntoSentences } = require('./pipeline-utils')
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/**
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* 在语义断点处将文案切分为音频片段
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* 每段时长(估算)必须 < videoDuration,且尽量接近(最佳 ratio 接近1.0)
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*
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* @param {string} text - 完整文案
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* @param {number} videoDur - 视频模型固定时长(秒),如 6
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* @param {number} charsPerSec - 语速(字/秒),固定 5
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* @returns {Array<{text, estimatedDuration}>}
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*/
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function splitIntoAudioSegments(text, videoDur, charsPerSec = 5) {
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// 优先在自然断点切分(句号/感叹号/分号)
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const naturalBreaks = splitTextIntoSentences(text)
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if (naturalBreaks.length <= 1) {
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// 无自然断点:在半段处(含小数点)切分
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const chars = text.length
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const estimatedTotal = chars / charsPerSec
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if (estimatedTotal <= videoDur) {
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// 整段可容纳
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return [{ text, estimatedDuration: estimatedTotal }]
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}
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// 无法单段容纳,在中间逗号处切
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const mid = Math.floor(chars / 2)
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const breakIdx = text.indexOf(',', mid)
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if (breakIdx > 0) {
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return [
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{ text: text.slice(0, breakIdx + 1), estimatedDuration: (breakIdx + 1) / charsPerSec },
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{ text: text.slice(breakIdx + 1), estimatedDuration: (chars - breakIdx - 1) / charsPerSec },
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]
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}
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// 强制按字数切
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const halfChars = Math.floor(chars / 2)
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return [
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{ text: text.slice(0, halfChars), estimatedDuration: halfChars / charsPerSec },
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{ text: text.slice(halfChars), estimatedDuration: (chars - halfChars) / charsPerSec },
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]
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}
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// 多个自然句:逐句判断,合并短句
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const result = []
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let currentText = ''
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let currentEstDur = 0
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for (let i = 0; i < naturalBreaks.length; i++) {
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const sentence = naturalBreaks[i]
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const sentenceLen = sentence.length
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const sentenceEstDur = sentenceLen / charsPerSec
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if (currentEstDur + sentenceEstDur <= videoDur) {
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// 可以合并到当前段
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currentText += sentence + '。'
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currentEstDur += sentenceEstDur
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} else {
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// 先保存当前段
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if (currentText) {
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result.push({ text: currentText.trim(), estimatedDuration: currentEstDur })
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}
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currentText = sentence + '。'
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currentEstDur = sentenceEstDur
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// 单句本身超长(超 videoDur)
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if (sentenceEstDur > videoDur) {
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// 按半段切
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const halfLen = Math.floor(sentenceLen / 2)
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const half1 = sentence.slice(0, halfLen)
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const half2 = sentence.slice(halfLen)
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// 回退上一段,用两个半段替代
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result.pop()
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result.push({ text: half1, estimatedDuration: halfLen / charsPerSec })
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currentText = half2 + '。'
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currentEstDur = (sentenceLen - halfLen) / charsPerSec
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}
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}
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}
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if (currentText) {
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result.push({ text: currentText.trim(), estimatedDuration: currentEstDur })
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}
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return result
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}
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async function phaseTts(manifest, manifestPath, options = {}) {
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const dir = getManifestDir(manifestPath)
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const audioDir = path.join(dir, 'audio')
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ensureDir(audioDir)
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const { synthesize } = require('../qwen-tts')
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const videoDur = manifest.estimatedVideoDuration || 6
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const ttsRate = manifest.ttsRate || 1.15
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const items = manifest.items.filter(it =>
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(it.script || it.text) && !it.audio
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)
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if (items.length === 0) { log('tts', '无待处理 item(已合成),跳过'); return }
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log('tts', `共 ${items.length} 段, 视频固定时长=${videoDur}s, TTS语速=${ttsRate}x`)
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for (let i = 0; i < items.length; i++) {
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const item = items[i]
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const idx = i + 1
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const fullText = (item.script || item.text).trim()
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// Step 1: 计算音频分段
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const rawSegments = splitIntoAudioSegments(fullText, videoDur)
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log('tts', `[${idx}/${items.length}] 原始分段: ${rawSegments.length} 段`)
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for (const seg of rawSegments) {
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log('tts', ` 分段估算: ${seg.estimatedDuration.toFixed(2)}s / ${seg.text.slice(0, 20)}...`)
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}
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// Step 2: 逐段合成
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const segments = []
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let globalOffset = 0
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for (let j = 0; j < rawSegments.length; j++) {
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const segInput = rawSegments[j]
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const segId = `${item.id}_${j + 1}`
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try {
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const { filePath, duration: realDuration } = await synthesize(segInput.text, {
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outputDir: audioDir,
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id: segId,
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voice: manifest.ttsVoice || undefined,
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instruction: manifest.ttsInstruction || undefined,
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rate: ttsRate,
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})
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const segment = {
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id: segId,
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text: segInput.text,
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audio: path.relative(dir, filePath).replace(/\\/g, '/'),
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estimatedDuration: Math.round(segInput.estimatedDuration * 1000) / 1000,
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duration: Math.round(realDuration * 1000) / 1000,
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startOffset: Math.round(globalOffset * 1000) / 1000,
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}
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segments.push(segment)
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globalOffset += realDuration
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log('tts', `[${idx}/${items.length}] 段${j + 1}: 估算${segInput.estimatedDuration.toFixed(2)}s → 实测${realDuration.toFixed(2)}s | ${segInput.text.slice(0, 15)}...`)
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} catch (err) {
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log('tts', `[${idx}/${items.length}] 段${j + 1} 合成失败: ${err.message}`)
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segments.push({
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id: segId,
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text: segInput.text,
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audio: '',
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estimatedDuration: segInput.estimatedDuration,
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duration: 0,
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startOffset: globalOffset,
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error: err.message,
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})
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globalOffset += segInput.estimatedDuration
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}
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}
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// Step 3: 汇总到 item
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const totalAudioDuration = Math.round(globalOffset * 1000) / 1000
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item.segments = segments
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item.audio = segments[0]?.audio || ''
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item.audioDuration = totalAudioDuration
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item.segmentCount = segments.length
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// Step 4: 时长合规诊断
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const ratio = videoDur / totalAudioDuration
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if (ratio < 0.9) {
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item._timelineWarning = `⚠ audioDur(${totalAudioDuration.toFixed(1)}s) > videoDur(${videoDur}s),ratio=${ratio.toFixed(2)},assemble 将截断`
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}
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log('tts', `[${idx}/${items.length}] 完成: ${segments.length}段, 总音频${totalAudioDuration.toFixed(1)}s, ratio=${ratio.toFixed(2)}`)
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saveManifest(manifestPath, manifest)
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}
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}
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module.exports = { phaseTts, splitIntoAudioSegments }
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