feat: add Seedance segmented video workflow

.env.local.example

@@ -4,13 +4,14 @@ GPT_TEXT_MODEL=gpt-5.5
 GPT_IMAGE_MODEL=gpt-image-2
 GPT_API_BASE=https://api.openai.com/v1
 
-# 视频生成默认走 OpenAI Sora；如需回退 Seedance，设置 VIDEO_PROVIDER=seedance。
+# 视频生成默认走 Seedance；如需回退 OpenAI Sora，设置 VIDEO_PROVIDER=openai_sora。
-VIDEO_PROVIDER=openai_sora
+VIDEO_PROVIDER=seedance
 OPENAI_VIDEO_MODEL=sora-2-pro
+# OPENAI_VIDEO_MIN_SECONDS 只用于 OpenAI Sora；当前 Seedance 模型单任务按 15 秒上限提交。
 OPENAI_VIDEO_MIN_SECONDS=60
 OPENAI_VIDEO_QUALITY=high
 
-# Seedance 作为可选回退 provider。未配置 Key 且 VIDEO_PROVIDER=seedance 时 /api/video/generate 返回 503。
+# Seedance 是当前默认视频 provider。未配置 Key 且 VIDEO_PROVIDER=seedance 时 /api/video/generate 返回 503。
 SEEDANCE_API_KEY=
 SEEDANCE_MODEL=doubao-seedance-2-0-260128
 SEEDANCE_API_BASE=https://ark.cn-beijing.volces.com/api/v3

.project.json

@@ -4,12 +4,12 @@
     {
       "env" : "OPENAI_API_KEY",
       "name" : "OPENAI_API_KEY",
-      "note" : "GPT 文本\/结构化\/图片生成 + OpenAI Sora 视频；没填则图片 mock、视频不可用"
+      "note" : "GPT 文本\/结构化\/图片生成；没填则图片 mock"
     },
     {
       "env" : "SEEDANCE_API_KEY",
       "name" : "SEEDANCE_API_KEY",
-      "note" : "Seedance 视频生成；没填则视频接口不可用"
+      "note" : "Seedance 视频生成；当前视频默认 provider，没填则视频接口不可用"
     },
     {
       "env" : "WEB_AUTH_USERNAME\/WEB_AUTH_PASSWORD\/WEB_AUTH_SESSION_SECRET",
@@ -37,7 +37,7 @@
     "username" : "kangwan"
   },
   "stack" : [
-    "Next.js + GPT + OpenAI Sora",
+    "Next.js + GPT + Seedance 视频",
     "Docker Compose local\/prod parity",
     "Coolify Traefik"
   ],

RULES.md

@@ -9,8 +9,8 @@
 ## 部署事实
 - 平台：个人 VPS `76.13.31.179`，Docker Compose，接入现有 Coolify Traefik
 - 发布状态：VPS 生产已发布，仅个人使用
-- 最近生产部署：2026-05-30，视频 provider 改为默认 OpenAI Sora（`VIDEO_PROVIDER=openai_sora`），Seedance 仅作为可选回退；视频模板目标时长统一不少于 60 秒，并通过 OpenAI `/videos/extensions` 链路补足长视频；对应代码提交 `9c41caf`
+- 最近生产部署：2026-05-30，视频 provider 改为默认 Seedance（`VIDEO_PROVIDER=seedance`），OpenAI Sora 仅作为可选回退；实测 Ark / Seedance `doubao-seedance-2-0` R2V 不接受 `duration=60`，当前 Seedance 单任务按 15 秒提交。若仍需 60 秒成片，需要 4 段 15 秒后拼接，或回退 OpenAI Sora 的延展链路。
-- 最近生产数据同步：2026-05-30，`有你家族 · 糯糯猪` session `s_mps3u047_48e383` 已同步到 VPS `data/`，包含专利包、配件包、生产打样包、宣发包共 64 张图片；Seedance 生产环境 Key 已换新但仍保持回退 provider。
+- 最近生产数据同步：2026-05-30，`有你家族 · 糯糯猪` session `s_mps3u047_48e383` 已同步到 VPS `data/`，包含专利包、配件包、生产打样包、宣发包共 64 张图片；Seedance 生产环境 Key 已换新并作为当前默认视频 provider。
 - 服务名 / 容器名：`ai-toy-patent-workflow`
 - 服务器路径：`/opt/ai-toy-patent-workflow`
 - 主站 / 前端：https://ai-toy.kang-kang.com
@@ -43,11 +43,11 @@
 - `GPT_TEXT_MODEL` — 默认 `gpt-5.5`，用于角色设定等结构化输出
 - `GPT_IMAGE_MODEL` — 默认 `gpt-image-2`，用于意向图和三类素材包图片生成
 - `GPT_API_BASE` — 默认 `https://api.openai.com/v1`
-- `VIDEO_PROVIDER` — 默认 `openai_sora`；需要回退时可设为 `seedance`
+- `VIDEO_PROVIDER` — 默认 `seedance`；需要回退 OpenAI Sora 时可设为 `openai_sora`
 - `OPENAI_VIDEO_MODEL` — 默认 `sora-2-pro`，用于 OpenAI 视频生成
-- `OPENAI_VIDEO_MIN_SECONDS` — 默认 `60`；视频模板目标时长不得低于 60 秒
+- `OPENAI_VIDEO_MIN_SECONDS` — 默认 `60`；仅用于 OpenAI Sora 目标时长；Seedance 当前单任务按模型可接受的 15 秒上限提交
 - `OPENAI_VIDEO_QUALITY` — 默认生产建议 `high`，对应 OpenAI 允许的视频输出尺寸
-- `SEEDANCE_API_KEY` — Seedance 视频生成 Key；仅 `VIDEO_PROVIDER=seedance` 时使用，未配置则视频接口返回 503
+- `SEEDANCE_API_KEY` — Seedance 视频生成 Key；当前默认视频 provider 使用，未配置则视频接口返回 503
 - `SEEDANCE_MODEL` — 默认 `doubao-seedance-2-0-260128`
 - `SEEDANCE_API_BASE` — 默认 `https://ark.cn-beijing.volces.com/api/v3`
 - `PUBLIC_APP_URL` — 生产填公网入口，用于把 `/api/img/...` 补成 Seedance 可访问的绝对 URL
@@ -62,7 +62,7 @@
 ## 规则
 - 全项目规则真源：`/Users/kangwan/Projects/code/20260317-rules-dashboard/RULES.md`
 - 文本/结构化/图片生成统一使用 GPT 最高规格配置
-- 视频生成默认使用 OpenAI Sora；Seedance 只作为可选回退 provider
+- 视频生成默认使用 Seedance；OpenAI Sora 只作为可选回退 provider；当前 Seedance 模型不支持单次 60 秒直出
 - 不允许编造不存在的部署域名、账号、密码
 
 ## 图像链路事实
@@ -100,7 +100,7 @@
 5. 锁定角色设定 `CharacterSpec`
 6. 串行生成图片包：必须从专利包开始，顺序为 `专利包 -> 配件包 -> 生产打样包 -> 宣发包`
 7. 前一个图片包完整生成后，下一个图片包才解锁；不提供“一键全包”入口或全包 API
-8. 四个图片包完成后，才解锁文案模板和 OpenAI Sora 视频任务：旋转展示、开箱、触感细节、角色故事、工厂预览；每条视频目标时长不少于 60 秒
+8. 四个图片包完成后，才解锁文案模板和视频任务：旋转展示、开箱、触感细节、角色故事、工厂预览；Seedance 单任务按 15 秒提交，60 秒成片需要分段拼接或使用 OpenAI Sora 回退
 9. 侧栏保留历史会话，点击切换
 
 ## 后续路线

deploy/.env.production.example

@@ -4,13 +4,14 @@ GPT_TEXT_MODEL=gpt-5.5
 GPT_IMAGE_MODEL=gpt-image-2
 GPT_API_BASE=https://api.openai.com/v1
 
-# Video generation defaults to OpenAI Sora. Set VIDEO_PROVIDER=seedance only for fallback.
+# Video generation defaults to Seedance. Set VIDEO_PROVIDER=openai_sora only for fallback.
-VIDEO_PROVIDER=openai_sora
+VIDEO_PROVIDER=seedance
 OPENAI_VIDEO_MODEL=sora-2-pro
+# OPENAI_VIDEO_MIN_SECONDS only applies to OpenAI Sora; current Seedance tasks are capped at 15s per request.
 OPENAI_VIDEO_MIN_SECONDS=60
 OPENAI_VIDEO_QUALITY=high
 
-# Optional Seedance fallback.
+# Seedance is the default video provider.
 SEEDANCE_API_KEY=
 SEEDANCE_MODEL=doubao-seedance-2-0-260128
 SEEDANCE_API_BASE=https://ark.cn-beijing.volces.com/api/v3

package.json

@@ -11,7 +11,8 @@
     "docker:down": "docker compose down",
     "docker:logs": "docker compose logs -f web",
     "resources:index": "node scripts/build-resource-index.mjs data",
-    "styles:previews": "node scripts/generate-style-previews.mjs"
+    "styles:previews": "node scripts/generate-style-previews.mjs",
+    "videos:seedance60": "node scripts/seedance-60s-compose.mjs"
   },
   "dependencies": {
     "next": "^15.5.18",

scripts/seedance-60s-compose.mjs

@@ -0,0 +1,529 @@
+#!/usr/bin/env node
+import { spawnSync } from 'node:child_process';
+import { createWriteStream, readFileSync } from 'node:fs';
+import fs from 'node:fs/promises';
+import path from 'node:path';
+import { Readable } from 'node:stream';
+import { fileURLToPath } from 'node:url';
+
+const SEGMENT_SECONDS = 15;
+const SEGMENT_COUNT = 4;
+const TARGET_SECONDS = SEGMENT_SECONDS * SEGMENT_COUNT;
+const TEMPLATE_IDS = [
+  'video_turntable',
+  'video_unboxing',
+  'video_touch_detail',
+  'video_story_intro',
+  'video_factory_preview',
+];
+const PART_CUES = [
+  '第 1 段：建立镜头，先稳定展示 45cm 高、正面约 32cm 宽的大号糯糯猪整体体量、圆胖坐姿和核心识别点。',
+  '第 2 段：继续同一只玩偶，推进到侧面约 28cm 深、背面约 33cm 宽、耳朵、鼻子、吊牌和毛绒细节，不改变外观。',
+  '第 3 段：保持 45cm 大号比例，加入成人双手抱持、前臂托住或胸前怀抱，让玩偶显得可拥抱且超过 40cm。',
+  '第 4 段：回到产品展示收束，补充包装、材料、生产或温暖陪伴镜头，包装/手部比例必须支持 45cm 成品尺寸。',
+];
+
+const root = path.resolve(path.dirname(fileURLToPath(import.meta.url)), '..');
+const args = parseArgs(process.argv.slice(2));
+const command = args._[0] || 'run';
+const sessionId = args.session || args._[1];
+if (!sessionId) fail('Usage: node scripts/seedance-60s-compose.mjs run --session <sessionId> [--env deploy/.env.production]');
+const runLabel = safe(args['run-label'] || 'seedance60');
+const freshRun = Boolean(args.fresh);
+const selectedTemplateIds = String(args.templates || '')
+  .split(',')
+  .map(item => item.trim())
+  .filter(Boolean);
+const activeTemplateIds = selectedTemplateIds.length ? selectedTemplateIds : TEMPLATE_IDS;
+
+const env = {
+  ...readEnvFile(path.join(root, args.env || '.env.local')),
+  ...process.env,
+};
+const apiKey = env.SEEDANCE_API_KEY;
+if (!apiKey) fail('SEEDANCE_API_KEY missing');
+const apiBase = env.SEEDANCE_API_BASE || 'https://ark.cn-beijing.volces.com/api/v3';
+const model = env.SEEDANCE_MODEL || 'doubao-seedance-2-0-260128';
+const publicAppUrl = env.PUBLIC_APP_URL || env.NEXT_PUBLIC_APP_URL || 'https://ai-toy.kang-kang.com';
+const sessionPath = path.join(root, 'data', 'sessions', `${sessionId}.json`);
+const trackerDir = path.join(root, 'data', 'video-segments');
+const trackerPath = path.join(trackerDir, `${sessionId}-${runLabel}.json`);
+const videosDir = path.join(root, 'data', 'videos');
+const segmentDir = path.join(videosDir, 'segments', sessionId, runLabel);
+
+await fs.mkdir(trackerDir, { recursive: true });
+await fs.mkdir(segmentDir, { recursive: true });
+
+if (command === 'submit') {
+  const tracker = await ensureTracker();
+  if (freshRun) await updateAllProgress(tracker);
+  await submitMissingSegments(tracker);
+  await saveTracker(tracker);
+  printSummary(tracker);
+} else if (command === 'poll') {
+  const tracker = await ensureTracker();
+  await pollAndCompose(tracker, { once: true });
+  await saveTracker(tracker);
+  printSummary(tracker);
+} else if (command === 'run') {
+  const tracker = await ensureTracker();
+  if (freshRun) await updateAllProgress(tracker);
+  await submitMissingSegments(tracker);
+  await saveTracker(tracker);
+  await pollAndCompose(tracker, { once: Boolean(args.once) });
+  await saveTracker(tracker);
+  printSummary(tracker);
+} else {
+  fail(`Unknown command: ${command}`);
+}
+
+function parseArgs(argv) {
+  const parsed = { _: [] };
+  for (let i = 0; i < argv.length; i += 1) {
+    const item = argv[i];
+    if (!item.startsWith('--')) {
+      parsed._.push(item);
+      continue;
+    }
+    const key = item.slice(2);
+    const next = argv[i + 1];
+    if (!next || next.startsWith('--')) {
+      parsed[key] = true;
+    } else {
+      parsed[key] = next;
+      i += 1;
+    }
+  }
+  return parsed;
+}
+
+function readEnvFile(filePath) {
+  try {
+    const text = readFileSync(filePath, 'utf8');
+    const out = {};
+    for (const line of text.split(/\r?\n/)) {
+      const trimmed = line.trim();
+      if (!trimmed || trimmed.startsWith('#')) continue;
+      const idx = trimmed.indexOf('=');
+      if (idx < 0) continue;
+      out[trimmed.slice(0, idx)] = trimmed.slice(idx + 1).replace(/^["']|["']$/g, '');
+    }
+    return out;
+  } catch {
+    return {};
+  }
+}
+
+async function ensureTracker() {
+  const session = await readSession();
+  let tracker = await readTracker();
+  if (!tracker) {
+    tracker = {
+      sessionId,
+      model,
+      provider: 'seedance',
+      targetSeconds: TARGET_SECONDS,
+      segmentSeconds: SEGMENT_SECONDS,
+      createdAt: Date.now(),
+      updatedAt: Date.now(),
+      templates: {},
+    };
+  }
+
+  const anchor = findAnchor(session);
+  const referenceUrls = findVideoReferenceUrls(session, anchor);
+  for (const templateId of activeTemplateIds) {
+    const task = (session.videoTasks || []).find(item => item.templateId === templateId);
+    if (!task) continue;
+    const entry = tracker.templates[templateId] || {
+      templateId,
+      title: task.title,
+      ratio: task.ratio || '16:9',
+      prompt: task.prompt,
+      anchorImageUrl: anchor,
+      referenceUrls,
+      finalVideoUrl: undefined,
+      segments: [],
+    };
+    entry.title = entry.title || task.title;
+    entry.ratio = entry.ratio || task.ratio || '16:9';
+    entry.prompt = entry.prompt || task.prompt;
+    entry.anchorImageUrl = entry.anchorImageUrl || anchor;
+    entry.referenceUrls = entry.referenceUrls?.length ? entry.referenceUrls : referenceUrls;
+    if (!freshRun && task.taskId && !entry.segments.some(segment => segment.part === 1)) {
+      entry.segments.push({
+        part: 1,
+        taskId: task.taskId,
+        status: task.status || 'submitted',
+        source: 'existing_session_task',
+        submittedAt: task.submittedAt || Date.now(),
+      });
+    }
+    for (let part = 1; part <= SEGMENT_COUNT; part += 1) {
+      if (!entry.segments.some(segment => segment.part === part)) {
+        entry.segments.push({ part, status: 'pending' });
+      }
+    }
+    entry.segments.sort((a, b) => a.part - b.part);
+    tracker.templates[templateId] = entry;
+  }
+  tracker.updatedAt = Date.now();
+  return tracker;
+}
+
+async function submitMissingSegments(tracker) {
+  for (const entry of Object.values(tracker.templates)) {
+    for (const segment of entry.segments) {
+      if (segment.taskId || segment.status === 'succeeded') continue;
+      const response = await submitSegment(entry, segment.part);
+      segment.taskId = response.taskId;
+      segment.status = response.status;
+      segment.raw = response.raw;
+      segment.submittedAt = Date.now();
+      console.log(JSON.stringify({
+        action: 'submitted',
+        templateId: entry.templateId,
+        part: segment.part,
+        taskId: segment.taskId,
+        status: segment.status,
+      }));
+      await updateSessionProgress(entry);
+      await saveTracker(tracker);
+    }
+  }
+}
+
+async function submitSegment(entry, part) {
+  const body = {
+    model,
+    content: [
+      { type: 'text', text: segmentPrompt(entry.prompt, part) },
+      ...entry.referenceUrls.map(url => ({
+        type: 'image_url',
+        image_url: { url: publicUrl(url) },
+        role: 'reference_image',
+      })),
+    ],
+    generate_audio: true,
+    ratio: entry.ratio || '16:9',
+    duration: SEGMENT_SECONDS,
+    watermark: false,
+  };
+  const res = await fetch(`${apiBase}/contents/generations/tasks`, {
+    method: 'POST',
+    headers: {
+      'content-type': 'application/json',
+      authorization: `Bearer ${apiKey}`,
+    },
+    body: JSON.stringify(body),
+  });
+  const rawText = await res.text();
+  if (!res.ok) throw new Error(`Seedance submit ${res.status}: ${rawText}`);
+  const raw = JSON.parse(rawText);
+  return {
+    taskId: raw.task_id || raw.id,
+    status: normalizeStatus(raw.status),
+    raw,
+  };
+}
+
+async function pollAndCompose(tracker, opts) {
+  const maxWaitMs = Number(args['max-wait-minutes'] || 90) * 60 * 1000;
+  const pollMs = Number(args['poll-seconds'] || 45) * 1000;
+  const started = Date.now();
+  while (true) {
+    let changed = false;
+    for (const entry of Object.values(tracker.templates)) {
+      let entryChanged = false;
+      for (const segment of entry.segments) {
+        if (!segment.taskId || segment.status === 'succeeded' || segment.status === 'failed') continue;
+        const response = await getTask(segment.taskId);
+        segment.status = response.status;
+        segment.raw = response.raw;
+        segment.updatedAt = Date.now();
+        changed = true;
+        entryChanged = true;
+        if (response.videoUrl) {
+          segment.remoteVideoUrl = response.videoUrl;
+        }
+        if (response.status === 'succeeded') {
+          segment.filePath = await downloadVideo(sessionId, entry.templateId, segment.part, segment.taskId, response.videoUrl);
+          console.log(JSON.stringify({
+            action: 'downloaded',
+            templateId: entry.templateId,
+            part: segment.part,
+            taskId: segment.taskId,
+          }));
+        }
+      }
+      if (!entry.finalVideoUrl && entry.segments.every(segment => segment.status === 'succeeded' && segment.filePath)) {
+        entry.finalVideoUrl = await composeTemplate(entry);
+        await updateFinalTask(entry);
+        changed = true;
+        entryChanged = true;
+        console.log(JSON.stringify({
+          action: 'composed',
+          templateId: entry.templateId,
+          videoUrl: entry.finalVideoUrl,
+        }));
+      }
+      if (entryChanged && !entry.finalVideoUrl) {
+        await updateSessionProgress(entry);
+      }
+    }
+    tracker.updatedAt = Date.now();
+    if (changed) await saveTracker(tracker);
+    if (allDone(tracker) || opts.once) break;
+    if (Date.now() - started > maxWaitMs) fail(`Timed out waiting for Seedance tasks after ${Math.round(maxWaitMs / 60000)} minutes`);
+    await sleep(pollMs);
+  }
+}
+
+async function getTask(taskId) {
+  const res = await fetch(`${apiBase}/contents/generations/tasks/${encodeURIComponent(taskId)}`, {
+    headers: { authorization: `Bearer ${apiKey}` },
+  });
+  const rawText = await res.text();
+  if (!res.ok) throw new Error(`Seedance status ${res.status}: ${rawText}`);
+  const raw = JSON.parse(rawText);
+  return {
+    status: normalizeStatus(raw.status),
+    videoUrl: raw.video_url || raw.output?.video_url || raw.output?.url || raw.content?.video_url || raw.content?.url,
+    raw,
+  };
+}
+
+async function downloadVideo(sessionIdValue, templateId, part, taskId, url) {
+  if (!url) throw new Error(`missing video URL for ${templateId} part ${part}`);
+  const res = await fetch(url);
+  if (!res.ok) throw new Error(`download ${res.status} for ${templateId} part ${part}`);
+  const type = res.headers.get('content-type') || 'video/mp4';
+  const ext = type.includes('webm') ? 'webm' : 'mp4';
+  const filename = `${safe(sessionIdValue)}_${safe(templateId)}_part${part}_${safe(taskId)}.${ext}`;
+  const filePath = path.join(segmentDir, filename);
+  await streamToFile(res.body, filePath);
+  return filePath;
+}
+
+async function composeTemplate(entry) {
+  const outputName = `${safe(sessionId)}_${safe(entry.templateId)}_${runLabel}_60s.mp4`;
+  const outputPath = path.join(videosDir, outputName);
+  const listPath = path.join(segmentDir, `${safe(entry.templateId)}_concat.txt`);
+  const list = entry.segments
+    .sort((a, b) => a.part - b.part)
+    .map(segment => `file '${String(segment.filePath).replace(/'/g, "'\\''")}'`)
+    .join('\n');
+  await fs.writeFile(listPath, `${list}\n`);
+
+  let result = spawnSync('ffmpeg', ['-y', '-f', 'concat', '-safe', '0', '-i', listPath, '-c', 'copy', outputPath], { encoding: 'utf8' });
+  if (result.status !== 0) {
+    result = spawnSync('ffmpeg', ['-y', '-f', 'concat', '-safe', '0', '-i', listPath, '-c:v', 'libx264', '-c:a', 'aac', '-movflags', '+faststart', outputPath], { encoding: 'utf8' });
+  }
+  if (result.status !== 0) {
+    throw new Error(`ffmpeg failed for ${entry.templateId}: ${result.stderr || result.stdout}`);
+  }
+  return `/api/video-file/${outputName}`;
+}
+
+async function updateFinalTask(entry) {
+  const session = await readSession();
+  const index = (session.videoTasks || []).findIndex(task => task.templateId === entry.templateId);
+  if (index < 0) throw new Error(`session video task missing: ${entry.templateId}`);
+  const now = Date.now();
+  const current = session.videoTasks[index];
+  session.videoTasks[index] = {
+    ...current,
+    provider: 'seedance',
+    model,
+    status: 'succeeded',
+    videoUrl: entry.finalVideoUrl,
+    duration: TARGET_SECONDS,
+    updatedAt: now,
+    raw: {
+      ...(typeof current.raw === 'object' && current.raw ? current.raw : {}),
+      seedance60: {
+        runLabel,
+        targetSeconds: TARGET_SECONDS,
+        segmentSeconds: SEGMENT_SECONDS,
+        composedAt: now,
+        segments: entry.segments.map(segment => ({
+          part: segment.part,
+          taskId: segment.taskId,
+          status: segment.status,
+          remoteVideoUrl: segment.remoteVideoUrl,
+        })),
+      },
+    },
+  };
+  await fs.writeFile(sessionPath, `${JSON.stringify(session, null, 2)}\n`);
+}
+
+async function updateAllProgress(tracker) {
+  for (const entry of Object.values(tracker.templates)) {
+    await updateSessionProgress(entry);
+  }
+}
+
+async function updateSessionProgress(entry) {
+  const session = await readSession();
+  const index = (session.videoTasks || []).findIndex(task => task.templateId === entry.templateId);
+  if (index < 0) return;
+  const now = Date.now();
+  const current = session.videoTasks[index];
+  const firstTaskId = entry.segments.find(segment => segment.taskId)?.taskId;
+  session.videoTasks[index] = {
+    ...current,
+    provider: 'seedance',
+    model,
+    taskId: firstTaskId,
+    status: taskStatus(entry),
+    videoUrl: entry.finalVideoUrl,
+    duration: TARGET_SECONDS,
+    updatedAt: now,
+    raw: {
+      ...(typeof current.raw === 'object' && current.raw ? current.raw : {}),
+      seedance60: {
+        runLabel,
+        targetSeconds: TARGET_SECONDS,
+        segmentSeconds: SEGMENT_SECONDS,
+        updatedAt: now,
+        segments: entry.segments.map(segment => ({
+          part: segment.part,
+          taskId: segment.taskId,
+          status: segment.status,
+          remoteVideoUrl: segment.remoteVideoUrl,
+        })),
+      },
+    },
+  };
+  await fs.writeFile(sessionPath, `${JSON.stringify(session, null, 2)}\n`);
+}
+
+function taskStatus(entry) {
+  if (entry.finalVideoUrl) return 'succeeded';
+  if (entry.segments.some(segment => segment.status === 'failed')) return 'failed';
+  if (entry.segments.some(segment => segment.status === 'processing')) return 'processing';
+  if (entry.segments.some(segment => segment.taskId)) return 'submitted';
+  return 'processing';
+}
+
+function segmentPrompt(prompt, part) {
+  return [
+    prompt.trim(),
+    '',
+    `这是 Seedance 分段生成的第 ${part}/${SEGMENT_COUNT} 段，每段 ${SEGMENT_SECONDS} 秒，最终会拼成 ${TARGET_SECONDS} 秒完整视频。`,
+    PART_CUES[part - 1],
+    '硬性尺寸约束：主角始终是“有你家族 · 糯糯猪”智能陪伴毛绒娃娃，高度约 45cm，正面宽约 32cm，侧深约 28cm，背面宽约 33cm。',
+    '必须明显是 40cm 以上的大尺寸抱抱玩偶：优先用成人双手、前臂、胸前怀抱、包装盒、椅子或床品证明比例；不能像掌心小玩偶、桌面摆件、挂件或钥匙扣。',
+    '参考图里的中文和数字只用于理解尺寸比例；成片画面中不要生成任何数字、厘米文字、箭头尺寸标注或文字海报，避免出现错误读数。',
+    '保持浅粉长绒、圆胖坐姿、黑亮眼睛、粉色猪鼻、下垂耳朵、金色挂绳和爱心吊牌，不要变成小挂件、桌面小摆件或其它动物。',
+  ].join('\n');
+}
+
+function normalizeStatus(status) {
+  if (status === 'succeeded' || status === 'success' || status === 'completed') return 'succeeded';
+  if (status === 'failed' || status === 'error') return 'failed';
+  if (status === 'processing' || status === 'running' || status === 'in_progress') return 'processing';
+  return 'submitted';
+}
+
+function publicUrl(url) {
+  if (/^https?:\/\//i.test(url)) return url;
+  return new URL(url, publicAppUrl).toString();
+}
+
+function findAnchor(session) {
+  const packs = session.packs || [];
+  const preferred = [
+    ['marketing', 'mkt_white_front'],
+    ['patent', 'patent_front'],
+  ];
+  for (const [kind, templateId] of preferred) {
+    const asset = packs.find(pack => pack.kind === kind)?.assets?.find(item => item.templateId === templateId);
+    if (asset?.url) return asset.url;
+  }
+  const selected = (session.images || []).find(image => image.status === 'selected') || session.images?.[0];
+  if (selected?.url) return selected.url;
+  fail('No anchor image found');
+}
+
+function findVideoReferenceUrls(session, fallbackUrl) {
+  const preferredTemplateIds = [
+    'prod_dimension_overall',
+    'mkt_white_front',
+    'mkt_white_back',
+  ];
+  const urls = [];
+  for (const templateId of preferredTemplateIds) {
+    const url = findAssetUrl(session, templateId);
+    if (url) urls.push(url);
+  }
+  if (fallbackUrl) urls.push(fallbackUrl);
+  return [...new Set(urls)];
+}
+
+function findAssetUrl(session, templateId) {
+  for (const pack of session.packs || []) {
+    const asset = pack.assets?.find(item => item.templateId === templateId);
+    if (asset?.url) return asset.url;
+  }
+  return undefined;
+}
+
+async function readSession() {
+  return JSON.parse(await fs.readFile(sessionPath, 'utf8'));
+}
+
+async function readTracker() {
+  try {
+    return JSON.parse(await fs.readFile(trackerPath, 'utf8'));
+  } catch {
+    return null;
+  }
+}
+
+async function saveTracker(tracker) {
+  await fs.writeFile(trackerPath, `${JSON.stringify(tracker, null, 2)}\n`);
+}
+
+function allDone(tracker) {
+  return Object.values(tracker.templates).every(entry => entry.finalVideoUrl);
+}
+
+async function streamToFile(body, filePath) {
+  if (!body) throw new Error('response body missing');
+  await fs.mkdir(path.dirname(filePath), { recursive: true });
+  await new Promise((resolve, reject) => {
+    const stream = createWriteStream(filePath);
+    Readable.fromWeb(body).pipe(stream);
+    stream.on('finish', resolve);
+    stream.on('error', reject);
+  });
+}
+
+function printSummary(tracker) {
+  const summary = Object.values(tracker.templates).map(entry => ({
+    templateId: entry.templateId,
+    finalVideoUrl: entry.finalVideoUrl,
+    segments: entry.segments.map(segment => ({
+      part: segment.part,
+      taskId: segment.taskId,
+      status: segment.status,
+      hasFile: Boolean(segment.filePath),
+    })),
+  }));
+  console.log(JSON.stringify(summary, null, 2));
+}
+
+function safe(value) {
+  return String(value).replace(/[^a-zA-Z0-9_.-]+/g, '_').slice(0, 120);
+}
+
+function sleep(ms) {
+  return new Promise(resolve => setTimeout(resolve, ms));
+}
+
+function fail(message) {
+  console.error(message);
+  process.exit(1);
+}

src/lib/videoProviders.ts

@@ -23,7 +23,7 @@ export function activeVideoProvider(): VideoProvider {
 }
 
 function durationOrDefault(duration?: number): number {
-  return Math.min(Math.max(duration ?? 6, 3), 15);
+  return Math.min(Math.max(duration ?? 15, 3), 15);
 }
 
 function openAITargetDuration(duration?: number): number {
@@ -113,8 +113,10 @@ function withProductVideoConstraints(prompt: string, targetDuration: number): st
   return [
     prompt.trim(),
     '',
-    '硬性约束：主角必须是“有你家族 · 糯糯猪”智能陪伴毛绒娃娃，整体成品高度约 45cm，必须明显是 40cm 以上的大尺寸抱抱玩偶。',
+    '硬性尺寸约束：主角必须是“有你家族 · 糯糯猪”智能陪伴毛绒娃娃，整体成品高度约 45cm，正面宽约 32cm，侧深约 28cm，背面宽约 33cm。',
-    '保持浅粉毛绒、圆胖坐姿、黑亮眼睛、粉色猪鼻、下垂耳朵、金色挂绳和爱心吊牌；不要改成普通小挂件、钥匙扣或低于 40cm 的小公仔。',
+    '必须明显是 40cm 以上的大尺寸抱抱玩偶：优先用成人双手、前臂、胸前怀抱、包装盒、椅子或床品证明比例；不能像掌心小玩偶、桌面摆件、挂件或钥匙扣。',
+    '如果参考图有中文或数字，只把它们当作尺寸比例依据；成片中不要生成任何数字、厘米文字、箭头尺寸标注或文字海报，避免出现错误读数。',
+    '保持浅粉长绒、圆胖坐姿、黑亮眼睛、粉色猪鼻、下垂耳朵、金色挂绳和爱心吊牌；不要改成普通小挂件、钥匙扣或低于 40cm 的小公仔。',
     `目标视频总时长不少于 ${targetDuration} 秒；如果 API 需要分段或延展，保持同一角色、同一尺寸比例和连续镜头语言。`,
   ].join('\n');
 }
@@ -154,7 +156,10 @@ export async function generateSeedanceVideo(opts: VideoGenerationRequest): Promi
   if (!key) throw new Error('SEEDANCE_API_KEY missing');
   if (!opts.prompt?.trim()) throw new Error('prompt required');
 
-  const content = buildContent(opts);
+  const content = buildContent({
+    ...opts,
+    prompt: withProductVideoConstraints(opts.prompt, Math.max(opts.duration ?? 60, 60)),
+  });
   const body: Record<string, unknown> = {
     model: SEEDANCE_MODEL,
     content,