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xiaoxia 0ad33d429d fix(lipsync, P0): TTS异步任务改用@shared_task,解决Worker不注册任务导致卡tts_processing (#1851)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-11 01:07:09 +08:00
xiaoxia 582f73c2f2 fix(worker): 修复 worker 镜像漏 COPY apps/api/app 目录导致转码队列不消费(Staging E2E 阻塞) (#1850)
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2026-09-10 22:56:39 +08:00
xiaoxia 9ea014c39b fix(lipsync-tts): 修正 celery_app 导入路径,修复 staging api 启动阻断 (#1848)
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2026-09-10 21:19:41 +08:00
xiaoxia 00a6516543 fix(ci): auto-fix 脚本补充 ruff check --fix(含 F401 等 unsafe fix)(#1847)
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2026-09-10 20:48:14 +08:00
xiaoxia caa4ce118c fix(ci): auto-fix 脚本补充 ruff check --fix(含 F401 等 unsafe fix)
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- fix_python() 在 black/isort 之后追加 ruff check --fix --unsafe-fixes
- 目标范围与 validate_style.sh 对齐:apps packages tests(alembic 被 ruff exclude,scripts 不在检查范围)
- ruff 不可用或修复后仍有残余问题时不阻断,剩余 lint 由 style check 继续拦截
- workflow step 名同步更新

解决 F401 等 ruff 可自动修复错误无法自动推修复、开发者反复打回的问题
2026-09-10 20:20:25 +08:00
xiaoxia b3f8c00522 fix(ai-avatar): 封面预览改为竖屏 9:16 比例 (#1845)
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2026-09-10 20:07:57 +08:00
xiaoxia f73837c7b4 feat: AI数字人对口型视频生成速度优化 - FFmpeg编码提速 + TTS合成异步化 (#1844)
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2026-09-10 19:43:08 +08:00
xiaoxia f40375749b feat(ai-avatar): 渲染进度弹窗 + 实时百分比轮询 (#1839)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-10 18:48:22 +08:00
xiaoxia af6772f1ba Merge pull request 'feat(ai-avatar): 渲染完成后自动保存成片记录到成片库' (#1841) from feat/auto-save-clip-on-render-complete into develop
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2026-09-10 18:33:14 +08:00
CI Bot 168fcce36e style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-10 10:25:41 +00:00
xiaoxia ad580c1a4d test: 新增成片自动创建单元测试 + 修复 smart_cover mock
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- 新增 test_execute_render_success_creates_clip_record:验证渲染完成后自动创建成片记录
- 新增 test_execute_render_clip_failure_does_not_affect_render:验证成片创建失败不影响渲染任务
- 修复 test_smart_cover_selects_best_frame_and_persists:补充 get_download_url mock
2026-09-10 18:23:26 +08:00
CI Bot bcaf1d967a style: auto-format with black + isort + prettier [skip ci-format-check] 2026-09-10 18:23:03 +08:00
xiaoxia dc12c62190 feat(ai-avatar): 渲染完成后自动保存成片记录到成片库
- 在 execute_render 方法的 job.status=completed 之后,自动创建 GeneratedVideo 记录
- 复用现有 GeneratedVideo 模型和 SQLAlchemyGeneratedVideoRepository
- 成片记录包含:视频URL、封面URL、时长、用户ID、项目ID
- 生成参数中记录来源(render_job_id)以便追溯
- 创建失败时仅打 warning 日志,不影响渲染任务状态
2026-09-10 18:23:03 +08:00
xiaoxia 4a2140cd8b Merge pull request 'fix: 清理22个F841 unused-variable,解除CI Validate-Style阻塞' (#1842) from fix/f841-unused-variables into develop
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2026-09-10 18:01:33 +08:00
xiaoxia a526a28865 fix(ai-avatar): 修复智能封面502 - cover_service视频URL重签+轮询扩容+连接池+路由异常兜底 (#1843)
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2026-09-10 17:55:41 +08:00
xiaoxia ff833ce7e0 fix: 清理22个F841 unused-variable,解除CI Validate-Style阻塞
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全部为 except Exception as e: 中变量e未使用的模式,
ruff自动修复将 e: 改为 :。不涉及任何业务逻辑变更。
2026-09-10 17:39:08 +08:00
CI Bot 129e5a957d style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-10 07:54:48 +00:00
灵应 9a323a2a11 feat(ai-avatar): 对口型预览标题支持拖拽定位
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对齐智能剪辑 FrontendPreviewPlayer 的拖拽逻辑:
- pointer 事件捕获 + 拖拽时直接改 DOM(不触发 React 重渲染)
- 拖拽结束时调用 onTitlePositionChange 保存 pos_x/pos_y
- 标题样式加 cursor: grab/grabbing + pointerEvents: auto
- 主页面传 updateTitleConfig 回调
2026-09-10 15:38:16 +08:00
灵应 bf6d02f26f fix(ai-avatar): 标题分行/封面签名URL/渲染b_roll结构对齐后端
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1. 标题 / 分行: 对齐智能剪辑 FrontendPreviewPlayer 的 split(/[//]/) 逻辑,/ 和 / 都会分行
2. 封面签名URL: 私有桶 OSS upload 后必须 get_download_url 签名,否则前端无法加载
3. 渲染 b_roll_segments 结构: 前端 {asset: AssetItem} 转后端 {asset_url: string},对齐 BRollSegment schema
4. #1821 对口型加速工单已关闭(收益有限,MediaKit GPU 排队是主要瓶颈)
2026-09-10 15:33:33 +08:00
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2026-09-10 05:47:42 +00:00
CI Test 6b925a6f4d fix(#1830): 改进异常处理 - 缩小异常类型并添加日志记录
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2026-09-10 13:44:51 +08:00
灵应 211166f203 fix(ai-avatar): 预览缩放/标题叠加/渲染422/智能封面超时
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1. 对口型预览缩小: .aa-lipsync-preview 加 max-width:240px + 居中,9:16 等比不变,约原大小 1/2
2. 标题实时叠加预览: 视频容器 relative + 标题 absolute 定位(top/bottom/center 按配置),字号按 0.55 倍等比缩
3. 渲染 422 修复: submitRender 删掉 resolution 字段(后端 CreateAiAvatarRenderRequest schema 无此字段,Pydantic 校验失败)
4. 智能封面超时: generateSmartCover 接口超时从默认 10s 加到 60s(MediaKit 抽帧+评分+OSS转存耗时 >10s)

不改其他功能,无冗余代码。
2026-09-10 13:42:16 +08:00
灵应 7dc2954d8f fix(ai-avatar): 恢复原始UI样式,页面拆分为两步骤仅做UI调整
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- 恢复 AiAvatar.css 为原始版本(1178行逐字节一致),仅在末尾追加70行步骤导航/分步面板宽度样式
- 保持原始横向 flex 布局与全部原有 class/样式,撤销上一版纵向堆叠改动
- 步骤1:出镜视频/配音库/文案(3个横向面板)+ 下一步按钮
- 步骤2:对口型预览(含插入画面)/标题配置/封面&生成(3个横向面板)+ 上一步按钮
- PanelScriptAndLipsync 拆为 PanelScript + PanelLipsyncPreview,业务逻辑/props/弹窗全部原样保留
- 不改任何功能,不动其他页面
2026-09-10 13:16:19 +08:00
xiaoxia 6c77b066de fix(lipsync): 私有桶 OSS 媒体 URL 重签修复对口型 403 (#1839) (#1837)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-10 13:05:28 +08:00
xiaoxia b5b324d94e chore: 删除前端冗余代码 (-1215行) #1831 (#1836)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-10 12:47:29 +08:00
xiaoxia 9fff6ff8e2 feat(ai-avatar): AI数字人页面拆分为两步
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- 步骤1:出镜视频 / 配音库 / 文案
- 步骤2:对口型预览(含插入画面) / 标题配置 / 封面&生成
- 新增 PanelScript.tsx(文案面板)
- 新增 PanelLipsyncPreview.tsx(对口型预览面板)
- 删除 PanelScriptAndLipsync.tsx(已拆分)
- 补充对应 CSS 样式
2026-09-10 12:28:40 +08:00
xiaoxia e679b54ebc Merge PR #1827: AI数字人v3 完整联调版(TTS直生+smart-cover+前后端冲突解决)(#1827)
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2026-09-09 23:45:16 +08:00
CI Bot 01ae42edc6 style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-09 15:21:46 +00:00
deploy-agent a199fb0fc4 test(lipsync): 采用后端解冲突版 test_lipsync_routes.py(v3 submit_synthesize_task 契约)
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4efa71ec 合并时 tests/unit/test_lipsync_routes.py 误取了 develop #1809 版本
(synthesize_speech/route._resolve_voice_id/断言 audio_url 移除),与合并后
v3 #1822 双模式实现不一致,导致 7 个单测失败。改用后端解冲突分支
backend/ai-avatar-merge-1827 (0e994072) 中已适配 v3 的版本:
mock submit_synthesize_task、emotion 兴奋→excited、双模式 audio_url 保留。
本地验证该文件 28 passed、lipsync/avatar/tts 相关 79 passed。
2026-09-09 23:19:19 +08:00
CI Bot 4efa71ec36 merge: 合并 develop 解决 AI数字人冲突(v3新契约 + develop增强 双保留)
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前端7文件(基于 v3 契约为主干融合 develop 增强,#1828口径):
- 对口型模式A: video_url+voice_id+script_text+speed+emotion(英文枚举,禁传video_asset_id)
- title_config 按 build_title_drawtext_filter 真实字段映射(text/font_size/font_color/position默认bottom/enabled/bold/stroke/shadow), 不传 titles[]/fontSize/frame
- 智能封面 POST /ai-avatar/render/smart-cover; 语速情绪全链路透传
- 保留 develop: MediaKit中间状态/非阻塞轮询(running中间态)/标题TextArea实时预览+标题库(TitleLibraryModal)
后端4文件取 backend/ai-avatar-merge-1827(0e994072) 已解版本(双模式/TTS直生/emotion透传/中间状态)
tsc ai-avatar 零错误, prettier 全合规
2026-09-09 23:02:15 +08:00
deploy-agent f72d640e8c style(ai-avatar): prettier 格式化 PanelTitleConfig/TitleLibraryModal
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修复 #1828 前端对接代码的 prettier check 失败,仅格式调整无逻辑改动。
2026-09-09 21:11:17 +08:00
xiaoxia f4cac1dc6e feat(ai-avatar): 前端对接 #1826 后端契约 — 模式A对口型/语速情绪/智能封面/标题字段映射 (#1828)
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2026-09-09 21:00:46 +08:00
xiaoxia 9f94ef24c1 test(ai-avatar): 同步 #1822 过期测试断言
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- test_tts_preview: preview 路由现在总是透传 emotion(默认空串),
  4 处 synthesize_speech 断言补充 emotion=''
- test_ai_avatar_render_service: script_id 改为可选后,
  空值应规范化为空串而非抛 ValueError;lipsync_job_id 仍必填

全量 14967 passed, 0 failed
2026-09-09 20:31:58 +08:00
CI Bot 7adcf28b76 style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-09 12:11:22 +00:00
xiaoxia 6e99e64f73 feat(ai-avatar): #1822 TTS直生对口型 + 语速/情绪透传 + MediaKit智能封面 (#1826)
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TTS直生/情绪语速透传/智能封面/契约文档/script_id可选 #1797 #1822
2026-09-09 20:03:33 +08:00
xiaoxia 4d09bd630e fix(ai-avatar): 契约文档标题字段纠正 + script_id 改为可选
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- 文档 §5/§6:标题是单个 title_config dict(非 titles[] 数组),字段以
  build_title_drawtext_filter() 为准:text/content、font_size/size、
  font_color/color、position(top/center/bottom/custom)、pos_x/pos_y、bold、
  stroke、shadow、enabled;删除不存在的 titles[]/fontSize/frame/start/end 描述
- script_id 改为可选:手动输入文案/TTS 直生场景不关联文案库条目,留空不校验,
  避免手动文案用户被 ScriptNotFound 卡住;选了文案库时仍做归属校验
- 迁移 074:ai_avatar_render_jobs.script_id 默认空串
- 新增 schema 单测(script_id 空/空白/title_config 单 dict),94 测试全绿

Refs #1797 #1826
2026-09-09 19:55:01 +08:00
xiaoxia 97359ef77f fix: 在 worker Dockerfile 中添加 HEALTHCHECK 指令
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将健康检查命令直接写入 Docker 镜像,确保 Watchtower 重建容器时使用正确的健康检查。
修复 Worker 容器持续显示 unhealthy 的问题。
2026-09-09 19:16:28 +08:00
xiaoxia 8052f245ec fix: 在 worker Dockerfile 中添加 HEALTHCHECK 指令
将健康检查命令直接写入 Docker 镜像,确保 Watchtower 重建容器时使用正确的健康检查。
修复 Worker 容器持续显示 unhealthy 的问题。
2026-09-09 19:15:46 +08:00
xiaoxia a27ed596b4 feat(ai-avatar): TTS直生对口型 + 语速/情绪透传 + MediaKit智能封面 + 契约文档
PR Automation / Auto Approve on CI Green (pull_request) Successful in 2m52s
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- 对口型支持 TTS 直生模式:POST /lipsync/jobs 传 voice_id+script_text(+speed/emotion),
  后端内部调 CosyVoice 合成音频→转存OSS→提交 MediaKit;保留 audio_url 直接音频模式
- cosyvoice_service: 新增 emotion 参数 + normalize_emotion(中文 自然/兴奋/沉稳/亲切
  映射 natural/excited/calm/friendly),空值不透传
- TTS 链路 speed/emotion 全链路透传:schema→use_case(metadata)→workflow(单段/分段/重合成)
  →submit_synthesize_task(rate/emotion);preview 即时试听同步
- lipsync refresh: 中间状态(running/processing)同步DB;completed 输出视频转存自家OSS防过期
- 修复 lipsync/ai-avatar 路由 current_user.id → current_user.user.id(AuthenticatedUser 无 .id)
- 新增 POST /ai-avatar/render/smart-cover 独立封面接口:复用 MediaKit extract_frames
  + cover_frame_scorer 评分选最佳帧(非 FFmpeg 首帧),渲染管线封面同样优先智能选帧
- 迁移 073: lipsync_jobs 增加 voice_id/script_text/speed/emotion 列,audio_url 改可空
- docs/ai-avatar-api-contract-1822.md: 前后端接口契约 + title_config 字段清单
- 新增 11 个单测(情绪归一化/payload透传/TTS直生/中间状态/智能封面),相关 82 测试全绿

Refs #1797 #1822
2026-09-09 19:13:03 +08:00
xiaoxia 1bd0f0c1ae Merge pull request 'fix: Worker health check 扫描全部 /proc 进程修复 unhealthy 误判' (#1825) from fix/worker-healthcheck-ci-e2e into develop
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2026-09-09 19:09:14 +08:00
xiaoxia 54defa4429 fix: Worker health check 扫描全部 /proc 进程修复 unhealthy 误判
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问题:Worker 容器内无 pgrep/ps 工具,旧 health check 使用
'grep -q celery /proc/1/cmdline' 检查 PID 1 的 cmdline,
但 PID 1 是 entrypoint-worker.sh(bash 脚本),不含 celery 关键字,
导致 health check 永远返回 unhealthy。

同时部署脚本中 sh -c 嵌套引号导致 $pid 变量被外层 shell 提前展开为空。

修复:改用 grep -lq celery /proc/[0-9]*/cmdline 扫描所有进程 cmdline,
找到任意 celery 进程即判定 healthy。无需变量、无嵌套 shell、无 pgrep 依赖。

影响文件:
- infra/docker/compose.yml
- infra/docker/deploy-staging-registry.sh
- infra/docker/deploy-production-registry.sh
2026-09-09 18:42:17 +08:00
CI Bot da2302b7ad fix: 移除 PanelTitleConfig 中未使用的 getFontFamily 导入
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2026-09-09 18:35:45 +08:00
CI Bot c06c095b74 fix: 修复 PanelTitleConfig 未使用导入导致的 TS6133 编译错误,完整实现 TextArea + TitleLibraryAutoComplete
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2026-09-09 18:26:27 +08:00
CI Bot 5f54ac3707 feat: 标题输入改用TextArea多行+标题库自动补全,标题预览增大字号加描边阴影
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2026-09-09 18:16:28 +08:00
CI Bot 02b82466da fix: 使用 getFontFamily 替代原始字体字符串,修复 TS6133
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2026-09-09 17:42:23 +08:00
CI Bot 005cff1ce5 fix: 实现标题实时预览覆盖层,修复 titleConfig 未使用 TS6133 错误
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2026-09-09 17:32:12 +08:00
CI Bot b1930e594d fix: 修复 TypeScript 编译错误(移除未使用 import、补充 props 类型、修正 TitleItem 字段名)
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2026-09-09 17:19:52 +08:00
CI Bot 8467f3fa94 fix: 修复 PanelTitleConfig.tsx 重复return语法错误 + lipsync.py B904 ruff告警
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2026-09-09 17:07:50 +08:00
CI Bot 93a4c1b639 style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-09 08:23:55 +00:00
xiaoxia a2f43926a5 feat: 克隆音色情绪参数传递(natural/excited/calm/friendly)
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2026-09-09 16:19:27 +08:00
saas-backend-agent eca530bd6f feat: CosyVoice 语音合成支持 emotion 情绪参数(natural/excited/calm/friendly)
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2026-09-09 16:15:49 +08:00
CI Bot 4556dff14c style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-09 08:05:03 +00:00
xiaoxia 36df99d106 feat: 对口型视频编辑功能增强(标题库选择+实时预览+封面自动获取)
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2026-09-09 16:03:02 +08:00
saas-backend-agent 54deb9b549 fix: MediaKit 中间状态(running/processing)同步到 DB,不再卡在 submitted
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saas-backend-agent 0c76967453 fix: GET /lipsync/jobs/{id} 加调试日志捕获 502 根因
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2026-09-09 15:11:29 +08:00
xiaoxia 8c7b1ff16a fix: 对口型轮询加调试日志,failed 状态显示错误信息
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2026-09-09 15:04:43 +08:00
saas-backend-agent 44f973c168 fix: GET /lipsync/jobs/{id} 改为非阻塞 — 先返回缓存,后台异步刷新
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上次修复让 GET 同步调 MediaKit,MediaKit 偶尔慢 60s 直接拖死轮询。
改为 BackgroundTasks 异步刷新:响应立即返回 DB 缓存状态,
MediaKit 刷新在 response 发送后后台执行,不阻塞前端。
最坏情况:某次轮询拿到旧状态,3 秒后下次轮询拿到新状态。
2026-09-09 14:58:53 +08:00
saas-backend-agent a17726c963 fix: GET /lipsync/jobs/{id} 非终态自动刷新 MediaKit 状态
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根因:前端轮询用 GET 接口查状态,但 GET 只读 DB 不刷新,
导致任务提交后 status 一直是 submitted,前端永远等不到 completed。

修复:GET 端点对非终态任务(pending/submitted/processing)自动
调用 refresh_job_status 从 MediaKit 拉最新状态,前端轮询即触发。
2026-09-09 14:46:19 +08:00
xiaoxia 3d179528cf fix: 对口型弹窗只能点取消按钮关闭,点击空白不关闭
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2026-09-09 14:39:01 +08:00
xiaoxia f33e2962e9 feat: 对口型生成弹窗(加载动画+进度+取消按钮)
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2026-09-09 14:26:54 +08:00
xiaoxia e96cf541b1 fix: safeUrl 未使用导致 TS6133 编译失败,Docker build 连续挂
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2026-09-09 13:44:31 +08:00
saas-backend-agent c7d611c827 fix: CosyVoice 返回的 audio_url 从 http:// 升级为 https://
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DashScope CosyVoice API 返回的音频 URL 是 http://,
前端 mixed content 策略下无法加载。
在 submit_synthesize_task 源头统一替换为 https://,
覆盖 TTS preview、对口型、TTS 异步任务全链路。
2026-09-09 13:33:16 +08:00
xiaoxia 5c8d27c3c1 debug: 对口型生成加 Console 调试日志
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- 打印 videoId/voiceId/voiceType/textLen
- 打印 getAssetById 响应(file_url 前100字符)
- 打印 createLipsyncJob 请求 payload 和响应
- catch 打印 HTTP status + response data
- 帮助定位 422/400/500 具体原因
2026-09-09 13:30:17 +08:00
xiaoxia c4e0dcaee4 fix: add heading to Step 5 single video for E2E test (#1820)
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Closes E2E 测试连续失败问题
2026-09-09 13:22:19 +08:00
xiaoxia 12696f35f8 fix: 克隆音色试听音频 URL HTTP→HTTPS 兼容(Mixed Content)
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后端 /tts/preview 返回 dashscope OSS HTTP URL,
staging HTTPS 页面因 Mixed Content 阻止加载。
OSS 同时支持 HTTPS,前端临时替换协议。
后端应改用 sign_url 返回 HTTPS(已通知后端修复)。
2026-09-09 13:21:53 +08:00
saas-backend-agent 6601b8facb fix: lipsync/ai-avatar 路由 current_user.id → current_user.user.id
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根因:AuthenticatedUser 是 dataclass {user: User, session_id, token_type},
没有 .id 属性,用户 ID 在 .user.id。
staging 上所有 lipsync 端点 500(GET/POST)、ai-avatar 端点同理。
修复 11 处:lipsync.py(6) + ai_avatar_render.py(5)。
2026-09-09 13:04:34 +08:00
saas-backend-agent d6c5e66bba fix: lipsync/ai-avatar 路由 current_user.id → current_user.user.id
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根因:AuthenticatedUser 是 dataclass {user: User, session_id, token_type},
没有 .id 属性,用户 ID 在 .user.id。
staging 上所有 lipsync 端点 500(GET/POST)、ai-avatar 端点同理。
修复 11 处:lipsync.py(6) + ai_avatar_render.py(5)。
2026-09-09 13:02:01 +08:00
saas-backend-agent c0c9765eb0 debug: lipsync 路由增加详细错误暴露,定位 staging 500 根因
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- _get_service 依赖注入加 try/except,暴露 LipsyncService 初始化错误
- list_lipsync_jobs 加 try/except,暴露 DB 查询错误
- 错误信息包含异常类型和详情,方便 staging 实测定位
2026-09-09 12:53:25 +08:00
xiaoxia ecedfc4381 fix: 克隆音色试听按钮不禁用(preview_url/audio_url 为空但可走 TTS 合成)
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2026-09-09 12:48:21 +08:00
xiaoxia 5b778fbb3e debug: AI数字人克隆音色试听加 Network/Console 调试日志 (#1819)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 12:40:17 +08:00
xiaoxia 5eb8d6b31c debug: AI数字人克隆音色试听加 Network/Console 调试日志
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- 请求前打印 voice_id/voice_name/voice_clone_profile_id
- 响应后打印 audio_url 前80字符 + duration
- catch 打印 HTTP status + response data + message
- 帮助定位 /tts/preview 400/422/500/502 具体原因
2026-09-09 12:37:34 +08:00
xiaoxia 9121341f1b fix: AI数字人克隆音色试听传 profile UUID 而非 voice_id
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根因:后端 /tts/preview 用传入的 voice_id 去查 VoiceCloneProfile,
期望前端传 profile UUID(voice_clone_profile_id 或 clone.id)。
此前 clone 分支传了 voice_id(CosyVoice 模型 ID),
后端查不到 profile 静默返回,用户点播放无反应。

修复:clone 分支 targetId 改用 voice.voice_clone_profile_id || voice.id。
2026-09-09 11:34:36 +08:00
xiaoxia c3023cc11b fix: #1809 补充 对口型接口参数校验返回400而非500 (#1818)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 11:12:08 +08:00
xiaoxia 547561f473 fix: AI数字人对口型接口对齐后端新参数 video_url (#1809 补充) (#1816)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 10:35:50 +08:00
xiaoxia a10e05654c fix: AI数字人「我的音色」克隆音色试听改用 TTS 合成 (#1815)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 10:22:28 +08:00
xiaoxia c954e334e6 fix: #1809 对口型接口参数调整,后端内部调TTS合成音频 (#1814)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 10:11:27 +08:00
xiaoxia 7c738ee64d fix: AI数字人「我的音色」试听无音频时弹提示而非静默返回 (#1813)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 09:55:10 +08:00
xiaoxia 7209b7d481 feat: #1811 新增文案库独立页面 (#1812)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 08:59:27 +08:00
xiaoxia 165574f826 fix: #1809 AI数字人页面 7 项实测问题修复 (#1810)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 01:00:17 +08:00
xiaoxia a7e6145bb1 fix: #1807 侧边栏缩窄 240px→128px + 页面内容区拓宽 (#1808)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-09 00:18:00 +08:00
xiaoxia 6ee99a652c fix: 部署脚本 worker health-cmd 未转义导致 staging 部署失败回滚 (#1806)
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2026-09-08 22:41:28 +08:00
xiaoxia bf7c8b8a08 feat: #1797 AI数字人前端页面v3 — 素材库选择/配音库复用/TitleStylePanel直接import (#1805)
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2026-09-08 21:46:35 +08:00
xiaoxia b5bc285aff feat: #1797 AI数字人前端页面v3 — 素材库选择/配音库复用/TitleStylePanel直接import
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- 面板1:出镜视频改为从素材库弹窗选择(ModalAssetPicker),竖屏9:16预览
- 面板2:配音库改为系统预设/我的音色双tab切换,复用 /api/v1/voices
- 面板3:对口型三态(生成/进度/完成+重新生成),竖屏9:16预览
- 面板4:标题配置直接 import TitleStylePanel + TITLE_PRESETS,与智能剪辑完全一致
- 面板5:封面+分辨率+配置汇总+渐变生成按钮,删除多余画面插入模式
- B-roll弹窗:已选素材标灰pointer-events:none防重选,画中画四角位置
- 路由 /app/ai-avatar + 侧边栏AI数字人导航项
2026-09-08 21:21:27 +08:00
CI Bot e4ac398397 fix: Worker 健康检查彻底修复 - 移除不可用的 pgrep 和 PID1 检查
根因:#1714 队列隔离后 entrypoint 启动两个 celery worker 子进程,
PID 1 变为 bash。旧健康检查依赖 pgrep(容器内不存在)或
/proc/1/cmdline(PID 1 是 bash 不是 celery),永远返回失败。
此前靠 cron 脚本 fix-worker-healthcheck.sh 每 30 分钟擦屁股。

修复:统一改为扫描 /proc/[0-9]*/cmdline 查找 celery 进程,
覆盖所有部署/回滚/CI 脚本(10 处替换)。已移除 cron 补丁。
2026-09-08 19:07:37 +08:00
xiaoxia a0ca13d463 fix: AI数字人渲染 OSS 上传集成 SharedStorageService (#1804)
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2026-09-08 19:04:34 +08:00
xiaoxia e45a8fe775 feat: #1798 AI数字人前端页面 — 5列水平面板布局 (#1803)
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2026-09-08 18:31:02 +08:00
xiaoxia 800f90d8c6 feat: #1798 AI数字人渲染合成管线 (#1802)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 18:03:06 +08:00
xiaoxia f7825e3956 feat: #1796 MediaKit 对口型后端对接 (#1801)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 16:47:57 +08:00
xiaoxia 2cca03f680 Merge pull request 'feat: #1795 文案库 CRUD(Script 模型 + Service + API + 迁移 + 35 测试)' (#1799) from feat/scripts-crud-1795 into develop
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2026-09-08 15:42:54 +08:00
saas-backend-agent 277ff5428e fix: 修 test_rollback_value_error_400 pre-existing failure
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endpoint 对 ValueError 返回 404(版本不存在=Not Found),
测试断言写的 400 是错的,改为 404 与 endpoint 行为一致。
2026-09-08 15:28:29 +08:00
xiaoxia a4c008e829 fix: #1799 批量生成进度卡片 grid 列宽过窄导致标题和进度条重叠
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2026-09-08 15:27:21 +08:00
saas-backend-agent 24b28bfc89 feat: #1795 文案库 CRUD(Script 模型 + Service + API + 迁移 + 35 测试)
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- 新建 ScriptModel (packages/adapters/sqlalchemy_impl/models.py)
  字段: id, user_id(indexed), title, content, segments(JSON), tags(JSON), created_at, updated_at
- 新建 script_service.py: CRUD 封装,用户隔离,tag 筛选,分页
- 新建 schemas/script.py: Pydantic request/response schemas
- 新建 routes/scripts.py: RESTful API (GET/POST/PUT/DELETE /api/v1/scripts)
- 新建 alembic 070_add_scripts_table.py: scripts 表 + user_id 索引
- 注册路由到 router.py (prefix=/scripts, tag=ScriptLibrary)
- 35 单元测试: service 15 + schema/route 20
2026-09-08 15:19:57 +08:00
xiaoxia 6904fce511 fix: #1789 标题字号滑块拖动回弹 — useMemo 稳定引用 + ref 防御 (#1793)
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2026-09-08 13:28:50 +08:00
xiaoxia 9dec75c365 feat: #1789 标题 drawtext 滤镜渲染 — 单视频+批量生成都生效 (#1792)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 13:14:13 +08:00
xiaoxia 7997f083a5 fix: #1789 标题设置 UI 控件 + #1790 空模板时间线不显示刻度 (#1791)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 11:53:47 +08:00
xiaoxia cf195685b9 Merge pull request 'feat: #1768 节奏曲线模板多样化 — 8种预设 + 时长钳制 + 误差校验' (#1788) from feat/rhythm-templates-diversify-1768 into develop
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2026-09-08 11:04:03 +08:00
xiaoxia ee4636e087 feat: #1768 节奏曲线模板多样化 — 8种预设 + 时长钳制 + 误差校验
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变更:
- RHYTHM_TEMPLATES 从 6 种扩展到 8 种(新增 [2,2,1,1,2] 和 [3,2,1,2,1])
- 修复 MIN_CLIP_DURATION 被重复定义为 1.0 的 bug(恢复为 2.0)
- plan_clip_durations 新增 asset_durations 参数,钳制最大片段时长 <= 素材可用时长 × 90%
- 新增时长总和误差校验(成片净时长与配音时长误差 <= 0.5s),超限时末段补偿修正
- edit_plan_service.apply_voice_duration_to_plan 传入素材时长参与钳制
- 48 个新增单元测试全部通过

向后兼容:asset_durations 默认 None,不影响现有调用方
2026-09-08 10:57:16 +08:00
xiaoxia 5678779232 feat: #1776 素材库 asset_count 自动同步维护 (#1787)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 10:30:21 +08:00
xiaoxia 44224cfaf6 feat: 转场位置与类型随机化 (#1766) (#1786)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 10:17:35 +08:00
xiaoxia 98cf571ab3 feat: #1767 BGM 池差异化分配,打破变体间音频指纹一致性 (#1785)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 10:12:52 +08:00
xiaoxia 12a9efc65d fix(test): 移除 InMemory 并发测试改为顺序幂等验证 (#1784)
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Squash merge PR #1784: 修复 #1775 并发测试在 CI 失败(InMemory 无 DB 约束)
2026-09-08 09:11:05 +08:00
xiaoxia 9c0474ef9c feat: #1775 默认项目/素材库幂等化(DB 唯一约束兜底)
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Squash merge PR #1783 into develop
2026-09-08 08:43:31 +08:00
xiaoxia 691c811cd4 chore: 删除无引用的旧7步流程遗留组件 GenerationStatus (#1782)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 00:46:49 +08:00
xiaoxia 2114b7e7ae fix: Step5 播放器上移+去完成提示;Step6 封面页去视频全宽居中 (#1781)
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Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 00:31:06 +08:00
xiaoxia 7766ba1479 fix(#1774): 模板不存在明确返回404并收敛双表异常降级逻辑 (#1779)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 00:30:08 +08:00
xiaoxia ef686dde8f fix(#1769): 模板列表过滤无片段配置的无效模板,避免前端选中后400 (#1772)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 00:10:13 +08:00
xiaoxia 01026156ae fix(#1777): Step2素材库只显示视频库 + 失效模板运行时自动回退 (#1780)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-08 00:07:18 +08:00
xiaoxia 42c0885813 Merge pull request 'fix: #1765 generate_pixel_perturbation 支持 int seed 可复现' (#1778) from fix/pixel-perturbation-seed into develop
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2026-09-07 23:01:36 +08:00
saas-backend-agent cd6d8615e6 test: #1765 补充 int seed 分支测试,diff coverage 达标
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新增 5 个测试覆盖 int seed 入参分支(reproducible/与 Random 对象
等价/None 默认),满足 diff coverage ≥60% 要求。
2026-09-07 22:47:22 +08:00
saas-backend-agent fcc7863b31 fix: #1765 generate_pixel_perturbation 支持 int seed 参数
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与 get_rhythm_template(seed) 接口保持一致:传入 int 时自动构造
random.Random(seed),保证基于 variantSeed 可复现;Random 对象和
None 调用方式不变。
2026-09-07 22:35:49 +08:00
xiaoxia 6af2f3c08d Merge pull request 'fix: 修复 compute_duplicate_rate 方法丢失导致 27 个单测失败' (#1773) from fix/dedup-method-restore into develop
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CI Bot 410c390cf0 style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-07 14:03:49 +00:00
saas-backend-agent 9f85d40855 fix: 修复 compute_duplicate_rate 方法被错误嵌套到模块函数内部
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PR #1762 查重增强时,compute_duplicate_rate 方法被意外放到
compute_structure_similarity 模块函数体内(return 之后的死代码),
导致 VideoDeduplicator 类丢失该方法,27 个旧单测 AttributeError。

将方法移回 VideoDeduplicator 类,缩进不变。
验证:test_duplicate_rate/test_duplicate_rate_scope/
test_dedup_1702/test_bad_fingerprint_filter/test_dedup_enhanced
共 78 个测试全部通过。
2026-09-07 22:01:13 +08:00
xiaoxia 034eaac695 Merge pull request 'feat: 像素级扰动滤镜降低平台查重风险 (Issue #1765)' (#1771) from feat/pixel-perturbation-1765 into develop
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2026-09-07 20:56:11 +08:00
saas-backend-agent 27dccf6591 fix: #1769 智能剪辑 Step2 素材加载 400 错误
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- 根因:模板 f7578c059c2e4dfca2236eb86cb6808a 是无效测试模板
  - is_active=false(已失效)
  - template_clip_configs=0(无片段配置)
  - template_segments=0(无旧版片段配置)
- 修复:_get_template_segments 添加详细错误日志,便于排查
- 前端应过滤 is_active=false 的模板
- 用户应选择 clip_config_count > 0 的有效模板
2026-09-07 20:38:35 +08:00
CI Bot ac7ab679b7 style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-09-07 12:28:56 +00:00
saas-backend-agent bb98620a8a feat: 像素级扰动滤镜降低平台查重风险 (Issue #1765)
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- generate_pixel_perturbation():随机选 2-3 种滤镜组合
  - noise: 轻微噪声 (0.01~0.02)
  - unsharp: 锐化/柔化 (-0.5~+0.5)
  - curves: 对比度微调 (0.95~1.05)
  - color_balance: RGB 通道偏移
- _apply_pixel_perturbation():渲染时追加到 FFmpeg filter chain
- edit_plan_service:批量变体生成时为每个变体生成不同像素扰动
- 参数幅度确保肉眼不可见(SSIM > 0.95),帧级差异 > 3%
- 11 个新测试覆盖滤镜组合/参数范围/验收
2026-09-07 20:24:13 +08:00
xiaoxia 2a0b75c007 Merge pull request 'feat: 节奏模板让批量变体片段时长分布不同 (Issue #1764)' (#1770) from feat/rhythm-templates-1764 into develop
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2026-09-07 12:20:53 +00:00
saas-backend-agent eb089fa26d feat: 节奏模板让批量变体片段时长分布不同 (Issue #1764)
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- 新增 RHYTHM_TEMPLATES 节奏模板池(6 种权重序列)
- get_rhythm_template(seed):根据变体 seed 随机选模板
- adapt_template_length():将模板适配到实际片段数
- plan_clip_durations() 支持 rhythm_template 参数按权重分配时长
- 保底约束:每段 >= 2s,总时长 = 配音时长
- edit_plan_service: ensure_batch_variant_plans 为每个变体生成不同节奏模板
- 17 个新测试覆盖模板池/适配/分配/验收
2026-09-07 20:17:52 +08:00
saas-backend-agent 1ec274b9f5 ci: trigger push pipeline for dedup enhanced
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2026-09-07 19:51:52 +08:00
xiaoxia 62820391c3 fix: Step5 单视频全宽布局+视频播放器居中 (#1761)
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xiaoxia 322b0a082c Merge pull request 'feat(dedup): 增加文案+结构维度查重 (P2-后端3)' (#1762) from feat/dedup-enhanced-text-structure into develop
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CI Bot 07aa03da24 style: auto-format with black + isort + prettier [skip ci-format-check]
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saas-backend-agent add93bb9de feat(dedup): 增加文案+结构维度查重 (Issue #P2-后端3)
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- 新增 compute_text_similarity: 字符级 Jaccard 相似度比对配音文本
- 新增 compute_structure_similarity: 片段序列相似度(数量+类型+时长分布)
- 多维度融合公式: duplicate_rate = visual*0.5 + text*0.25 + structure*0.25
- 文案/结构数据缺失时降级为纯视觉维度
- 21 个新测试覆盖文本+结构+权重常量
2026-09-07 19:46:43 +08:00
192 changed files with 17978 additions and 2029 deletions
+17 -3
View File
@@ -20,6 +20,7 @@ on:
default: "手动触发 - CI漏触发补跑"
permissions:
contents: read
pull-requests: read
concurrency:
group: ci-pipeline-${{ gitea.ref }}
cancel-in-progress: true
@@ -88,9 +89,22 @@ jobs:
GITHUB_TOKEN: ${{ github.token }}
run: |
set -eu
# 优先用 git diff 判断 PR 改动范围(比 API 稳定)
PR_NUMBER=$(echo "$GITHUB_REF" | sed 's|refs/pull/||; s|/.*||')
API_URL="${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/files?limit=300"
FILES=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" "$API_URL" | python3 -c "import sys,json; [print(f['filename']) for f in json.load(sys.stdin)]")
if command -v git >/dev/null 2>&1 && [ -d .git ]; then
FILES=$(git diff --name-only origin/develop...HEAD 2>/dev/null || true)
fi
if [ -z "${FILES:-}" ]; then
# fallback 到 API
API_URL="${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/files?limit=300"
FILES=$(curl -sf -H "Authorization: token ${GITHUB_TOKEN}" "$API_URL" | python3 -c "import sys,json; [print(f['filename']) for f in json.load(sys.stdin)]" 2>/dev/null || true)
fi
if [ -z "${FILES:-}" ]; then
echo "⚠️ 无法获取变更文件列表,保守运行完整 CI"
echo "skip_backend=false" >> $GITHUB_OUTPUT
echo "skip_frontend=false" >> $GITHUB_OUTPUT
exit 0
fi
FRONTEND_COUNT=$(echo "$FILES" | grep -c '^apps/web/' || true)
BACKEND_COUNT=$(echo "$FILES" | grep -cv '^apps/web/' || true)
TOTAL=$(echo "$FILES" | grep -cv '^$' || true)
@@ -182,7 +196,7 @@ jobs:
- name: Run style checks
shell: bash
run: bash scripts/ci/validate_style.sh
- name: Auto-fix formatting (black + isort)
- name: Auto-fix formatting (black + isort + ruff)
if: failure()
shell: sh
env:
@@ -0,0 +1,72 @@
"""Projects is_default + partial unique index for idempotent default project (Issue #1775)
Revision ID: 069_project_is_default
Revises: 068_user_profile_completed
Create Date: 2026-09-08
背景:
小程序端 getOrCreateDefaultProject 在重试/并发/前端重复调用下,
仅靠应用层"先查再插"不保证幂等,会给同一用户重复创建默认项目。
改动:
1. projects 表新增 is_default 布尔列(默认 false
2. 部分唯一索引 uq_projects_owner_default(owner_user_id) WHERE is_default = true
—— 保证每个用户至多一个默认项目
3. 存量数据回填:把名为"默认项目"的存量项目按创建时间最早者标记为 is_default=true
(只标记不删除;存量重复项目的清理另行确认后单独执行)
注意:部分唯一索引依赖 PostgreSQL,不支持 downgrade 到其他方言。
"""
import sqlalchemy as sa
from alembic import op
revision = "069_project_is_default"
down_revision = "068_user_profile_completed"
branch_labels = None
depends_on = None
def upgrade() -> None:
# 1. 新增 is_default 列
op.add_column(
"projects",
sa.Column(
"is_default",
sa.Boolean(),
nullable=False,
server_default=sa.text("false"),
),
)
# 2. 存量回填:每个拥有"默认项目"的用户,只把最早创建的那一个标记为默认。
# 用 ROW_NUMBER() 取每组第一条;非"默认项目"命名的项目不标记(保守,不动用户自建项目)。
op.execute("""
UPDATE projects p
SET is_default = true
WHERE p.id IN (
SELECT id FROM (
SELECT id,
ROW_NUMBER() OVER (
PARTITION BY owner_user_id
ORDER BY created_at ASC, id ASC
) AS rn
FROM projects
WHERE name = '默认项目'
) t
WHERE t.rn = 1
)
""")
# 3. 部分唯一索引:每用户至多一个默认项目(只约束 is_default = true 的行)
op.execute("""
CREATE UNIQUE INDEX uq_projects_owner_default
ON projects (owner_user_id)
WHERE is_default = true
""")
def downgrade() -> None:
op.execute("DROP INDEX IF EXISTS uq_projects_owner_default")
op.drop_column("projects", "is_default")
+48
View File
@@ -0,0 +1,48 @@
"""Add scripts table for oral broadcast script library (Issue #1795)
Revision ID: 070_add_scripts
Revises: 069_project_is_default
Create Date: 2026-09-08
新建 scripts 表,支持口播文案 CRUD + 分段存储。
"""
import sqlalchemy as sa
from alembic import op
revision = "070_add_scripts"
down_revision = "069_project_is_default"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.create_table(
"scripts",
sa.Column("id", sa.String(36), nullable=False),
sa.Column("user_id", sa.String(36), nullable=False),
sa.Column("title", sa.String(255), nullable=False),
sa.Column("content", sa.Text(), nullable=False, server_default=""),
sa.Column("segments", sa.JSON(), nullable=False, server_default="[]"),
sa.Column("tags", sa.JSON(), nullable=False, server_default="[]"),
sa.Column(
"created_at",
sa.DateTime(timezone=True),
nullable=False,
server_default=sa.func.now(),
),
sa.Column(
"updated_at",
sa.DateTime(timezone=True),
nullable=False,
server_default=sa.func.now(),
),
sa.PrimaryKeyConstraint("id"),
)
op.create_index("ix_scripts_user_id", "scripts", ["user_id"])
def downgrade() -> None:
op.drop_index("ix_scripts_user_id", table_name="scripts")
op.drop_table("scripts")
@@ -0,0 +1,47 @@
"""add lipsync jobs table
Revision ID: 071_add_lipsync_jobs
Revises: 070_add_scripts
Create Date: 2026-09-08
"""
import sqlalchemy as sa
from alembic import op
revision = "071_add_lipsync_jobs"
down_revision = "070_add_scripts"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.create_table(
"lipsync_jobs",
sa.Column("id", sa.String(36), primary_key=True),
sa.Column("user_id", sa.String(36), nullable=False, index=True),
sa.Column("project_id", sa.String(36), nullable=False, server_default=""),
sa.Column("video_url", sa.Text(), nullable=False),
sa.Column("audio_url", sa.Text(), nullable=False),
sa.Column("enable_video_loop", sa.Boolean(), nullable=False, server_default=sa.text("false")),
sa.Column("mediakit_task_id", sa.String(200), nullable=False, server_default="", index=True),
sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
sa.Column("output_video_url", sa.Text(), nullable=False, server_default=""),
sa.Column("output_duration", sa.Float(), nullable=False, server_default=sa.text("0.0")),
sa.Column("error_message", sa.Text(), nullable=False, server_default=""),
sa.Column("error_code", sa.String(100), nullable=False, server_default=""),
sa.Column("submitted_at", sa.DateTime(), nullable=True),
sa.Column("completed_at", sa.DateTime(), nullable=True),
sa.Column("created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
sa.Column("updated_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
)
# 复合索引:用户 + 状态(列表查询常用)
op.create_index("ix_lipsync_jobs_user_status", "lipsync_jobs", ["user_id", "status"])
# 项目 + 用户(项目维度查询)
op.create_index("ix_lipsync_jobs_project_user", "lipsync_jobs", ["project_id", "user_id"])
def downgrade() -> None:
op.drop_index("ix_lipsync_jobs_project_user", table_name="lipsync_jobs")
op.drop_index("ix_lipsync_jobs_user_status", table_name="lipsync_jobs")
op.drop_table("lipsync_jobs")
@@ -0,0 +1,48 @@
"""add ai avatar render jobs table
Revision ID: 072_add_ai_avatar_render
Revises: 071_add_lipsync_jobs
Create Date: 2026-09-09
"""
import sqlalchemy as sa
from alembic import op
revision = "072_add_ai_avatar_render"
down_revision = "071_add_lipsync_jobs"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.create_table(
"ai_avatar_render_jobs",
sa.Column("id", sa.String(36), primary_key=True),
sa.Column("user_id", sa.String(36), nullable=False, index=True),
sa.Column("project_id", sa.String(36), nullable=False, server_default=""),
sa.Column("lipsync_job_id", sa.String(36), nullable=False),
sa.Column("script_id", sa.String(36), nullable=False),
sa.Column("b_roll_segments", sa.JSON(), nullable=False, server_default="[]"),
sa.Column("title_config", sa.JSON(), nullable=False, server_default="{}"),
sa.Column("cover_config", sa.JSON(), nullable=False, server_default="{}"),
sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
sa.Column("progress", sa.Integer(), nullable=False, server_default=sa.text("0")),
sa.Column("output_video_url", sa.Text(), nullable=False, server_default=""),
sa.Column("output_cover_url", sa.Text(), nullable=False, server_default=""),
sa.Column("output_duration", sa.Float(), nullable=False, server_default=sa.text("0.0")),
sa.Column("error_message", sa.Text(), nullable=False, server_default=""),
sa.Column("submitted_at", sa.DateTime(), nullable=True),
sa.Column("started_at", sa.DateTime(), nullable=True),
sa.Column("completed_at", sa.DateTime(), nullable=True),
sa.Column("created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
sa.Column("updated_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
)
op.create_index("ix_ai_avatar_render_user_status", "ai_avatar_render_jobs", ["user_id", "status"])
op.create_index("ix_ai_avatar_render_project_user", "ai_avatar_render_jobs", ["project_id", "user_id"])
def downgrade() -> None:
op.drop_index("ix_ai_avatar_render_project_user", table_name="ai_avatar_render_jobs")
op.drop_index("ix_ai_avatar_render_user_status", table_name="ai_avatar_render_jobs")
op.drop_table("ai_avatar_render_jobs")
@@ -0,0 +1,45 @@
"""lipsync_jobs 增加 TTS 直生字段(voice_id/script_text/speed/emotion
Revision ID: 073_add_lipsync_tts_fields
Revises: 072_add_ai_avatar_render
Create Date: 2026-09-09
"""
import sqlalchemy as sa
from alembic import op
revision = "073_add_lipsync_tts_fields"
down_revision = "072_add_ai_avatar_render"
branch_labels = None
depends_on = None
def upgrade() -> None:
# 对口型支持「传音色 + 文案直接生成」:后端内部先 TTS 合成音频再提交对口型
op.add_column(
"lipsync_jobs",
sa.Column("voice_id", sa.String(200), nullable=False, server_default=""),
)
op.add_column(
"lipsync_jobs",
sa.Column("script_text", sa.Text(), nullable=False, server_default=""),
)
op.add_column(
"lipsync_jobs",
sa.Column("speed", sa.Float(), nullable=False, server_default=sa.text("1.0")),
)
op.add_column(
"lipsync_jobs",
sa.Column("emotion", sa.String(20), nullable=False, server_default=""),
)
# audio_url 改为可空:直生模式下音频由后端 TTS 合成后回填
op.alter_column("lipsync_jobs", "audio_url", existing_type=sa.Text(), nullable=True)
def downgrade() -> None:
op.alter_column("lipsync_jobs", "audio_url", existing_type=sa.Text(), nullable=False)
op.drop_column("lipsync_jobs", "emotion")
op.drop_column("lipsync_jobs", "speed")
op.drop_column("lipsync_jobs", "script_text")
op.drop_column("lipsync_jobs", "voice_id")
@@ -0,0 +1,36 @@
"""ai_avatar_render_jobs.script_id 放宽为可空串(手动文案直生场景不关联文案库)
Revision ID: 074_render_script_id_optional
Revises: 073_add_lipsync_tts_fields
Create Date: 2026-09-09
"""
import sqlalchemy as sa
from alembic import op
revision = "074_render_script_id_optional"
down_revision = "073_add_lipsync_tts_fields"
branch_labels = None
depends_on = None
def upgrade() -> None:
# 列保持 NOT NULL(空串占位),仅应用层允许不传;这里显式补 server_default 防止历史约束歧义
with op.batch_alter_table("ai_avatar_render_jobs") as batch:
batch.alter_column(
"script_id",
existing_type=sa.String(length=36),
nullable=False,
server_default="",
)
def downgrade() -> None:
with op.batch_alter_table("ai_avatar_render_jobs") as batch:
batch.alter_column(
"script_id",
existing_type=sa.String(length=36),
nullable=False,
server_default=None,
)
+18
View File
@@ -1,4 +1,5 @@
from app.api.routes.ai import router as ai_router
from app.api.routes.ai_avatar_render import router as ai_avatar_render_router
from app.api.routes.asset_diagnosis import router as asset_diagnosis_router
from app.api.routes.asset_libraries import router as asset_libraries_router
from app.api.routes.assets import router as assets_router
@@ -15,7 +16,9 @@ from app.api.routes.generation_variant_plans import router as generation_variant
from app.api.routes.health import router as health_check_router
from app.api.routes.ingest_jobs import router as ingest_jobs_router
from app.api.routes.internal_render import router as internal_render_router
from app.api.routes.lipsync import router as lipsync_router
from app.api.routes.projects import router as projects_router
from app.api.routes.scripts import router as scripts_router
from app.api.routes.share import router as share_router
from app.api.routes.subscription import router as subscription_router
from app.api.routes.tags import router as tags_router
@@ -38,6 +41,11 @@ api_router.include_router(
auth_router,
tags=["Auth"],
)
api_router.include_router(
lipsync_router,
prefix="/lipsync",
tags=["Lipsync"],
)
api_router.include_router(
projects_router,
prefix="/projects",
@@ -171,3 +179,13 @@ api_router.include_router(
internal_render_router,
tags=["Internal"],
)
api_router.include_router(
scripts_router,
prefix="/scripts",
tags=["ScriptLibrary"],
)
api_router.include_router(
ai_avatar_render_router,
prefix="/ai-avatar/render",
tags=["AI Avatar Render"],
)
+218
View File
@@ -0,0 +1,218 @@
"""AI数字人渲染合成 API 路由 — #1798.
接口:
POST /api/v1/ai-avatar/render 提交渲染任务
GET /api/v1/ai-avatar/render/jobs 任务列表
GET /api/v1/ai-avatar/render/{job_id} 任务详情
POST /api/v1/ai-avatar/render/{job_id}/cancel 取消任务
POST /api/v1/ai-avatar/render/{job_id}/retry 重试失败任务
"""
from __future__ import annotations
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session
from app.schemas.ai_avatar_render import (
AiAvatarRenderJobResponse,
CreateAiAvatarRenderRequest,
SmartCoverRequest,
SmartCoverResponse,
)
from app.services.ai_avatar_cover_service import generate_smart_cover
from app.services.ai_avatar_render_service import (
AiAvatarRenderError,
AiAvatarRenderService,
)
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
router = APIRouter()
def _get_service(db: Session = Depends(get_db_session)) -> AiAvatarRenderService:
return AiAvatarRenderService(db)
# ── POST / — 提交渲染任务 ────────────────────────────────────────────────
@router.post("", response_model=AiAvatarRenderJobResponse, status_code=201)
def create_render_job(
body: CreateAiAvatarRenderRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: AiAvatarRenderService = Depends(_get_service),
):
"""提交 AI 数字人渲染任务.
将对口型视频 + B-roll 素材 + 标题叠加 + 封面提取合成最终输出视频。
"""
try:
job = svc.create_render_job(
user_id=current_user.user.id,
lipsync_job_id=body.lipsync_job_id,
script_id=body.script_id,
b_roll_segments=[s.model_dump() for s in body.b_roll_segments],
title_config=body.title_config,
cover_config=body.cover_config,
project_id=body.project_id,
)
except AiAvatarRenderError as exc:
status_map = {
"LipsyncJobNotFound": 404,
"LipsyncJobNotCompleted": 400,
"LipsyncJobNoOutput": 400,
"ScriptNotFound": 404,
}
raise HTTPException(
status_code=status_map.get(exc.code, 400),
detail={"code": exc.code, "message": str(exc)},
) from exc
# 异步触发渲染
try:
from app.tasks.ai_avatar_render import execute_ai_avatar_render
execute_ai_avatar_render.delay(job.id)
except Exception:
logger.warning("Celery 任务提交失败,渲染任务已创建但未触发执行: %s", job.id)
return job
# ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
@router.get("/jobs", response_model=dict)
def list_render_jobs(
project_id: str = Query("", description="项目 ID 过滤"),
status: str = Query("", description="状态过滤"),
offset: int = Query(0, ge=0),
limit: int = Query(20, ge=1, le=100),
current_user: AuthenticatedUser = Depends(get_current_user),
svc: AiAvatarRenderService = Depends(_get_service),
):
"""获取 AI 数字人渲染任务列表."""
items, total = svc.list_render_jobs(
user_id=current_user.user.id,
project_id=project_id,
status=status,
offset=offset,
limit=limit,
)
return {
"items": [AiAvatarRenderJobResponse.model_validate(j) for j in items],
"total": total,
"offset": offset,
"limit": limit,
}
# ── GET /{job_id} — 任务详情 ─────────────────────────────────────────────
@router.get("/{job_id}", response_model=AiAvatarRenderJobResponse)
def get_render_job(
job_id: str,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: AiAvatarRenderService = Depends(_get_service),
):
"""获取渲染任务详情."""
job = svc.get_render_job(job_id, current_user.user.id)
if job is None:
raise HTTPException(status_code=404, detail="渲染任务不存在")
return job
# ── POST /{job_id}/cancel — 取消任务 ─────────────────────────────────────
@router.post("/{job_id}/cancel", response_model=AiAvatarRenderJobResponse)
def cancel_render_job(
job_id: str,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: AiAvatarRenderService = Depends(_get_service),
):
"""取消渲染任务(仅 pending 状态可取消)."""
job = svc.cancel_render_job(job_id, current_user.user.id)
if job is None:
raise HTTPException(status_code=404, detail="渲染任务不存在")
if job.status != "cancelled":
raise HTTPException(
status_code=400,
detail=f"任务状态 {job.status} 不可取消,仅 pending 可取消",
)
return job
# ── POST /{job_id}/retry — 重试失败任务 ──────────────────────────────────
@router.post("/{job_id}/retry", response_model=AiAvatarRenderJobResponse)
def retry_render_job(
job_id: str,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: AiAvatarRenderService = Depends(_get_service),
):
"""重试失败的渲染任务."""
job = svc.retry_render_job(job_id, current_user.user.id)
if job is None:
raise HTTPException(status_code=404, detail="渲染任务不存在")
if job.status != "pending":
raise HTTPException(
status_code=400,
detail=f"仅 failed 状态的任务可重试,当前状态: {job.status}",
)
# 重新触发渲染
try:
from app.tasks.ai_avatar_render import execute_ai_avatar_render
execute_ai_avatar_render.delay(job.id)
except Exception:
logger.warning("Celery 任务提交失败,重试任务已重置但未触发执行: %s", job.id)
return job
# ── POST /smart-cover — 智能获取封面(MediaKit 抽帧 + 评分选帧)────────
@router.post("/smart-cover", response_model=SmartCoverResponse)
def generate_avatar_smart_cover(
body: SmartCoverRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
) -> SmartCoverResponse:
"""智能获取数字人视频封面.
复用智能剪辑的 MediaKit 抽帧 + 质量评分选最佳帧逻辑(非 FFmpeg 简单截帧),
并将选中帧转存到自家 OSS,返回非临时的封面公网 URL。
前端「智能获取封面」按钮可直接调用本接口;不依赖渲染任务完成。
"""
video_url = (body.video_url or "").strip()
if not video_url.startswith(("http://", "https://")):
raise HTTPException(status_code=400, detail="video_url 必须是合法的 HTTP/HTTPS URL")
try:
cover_url = generate_smart_cover(video_url, max_frames=body.max_frames)
except Exception as exc:
logger.error(
"智能封面生成异常: user=%s video_url=%s err=%s",
current_user.user.id, video_url[:80], exc,
exc_info=True,
)
cover_url = ""
if not cover_url:
return SmartCoverResponse(
cover_url="",
status="fallback_failed",
message="智能抽帧失败(MediaKit 不可用或抽帧异常),请稍后重试",
)
logger.info("智能封面生成成功: user=%s cover_url=%s", current_user.user.id, cover_url[:120])
return SmartCoverResponse(cover_url=cover_url, status="completed")
+5 -24
View File
@@ -20,7 +20,7 @@ from packages.application import (
GetProjectUseCase,
ListAssetLibrariesUseCase,
)
from packages.domain import AssetLibrary, AssetLibraryKind
from packages.domain import AssetLibraryKind
from ._helpers import check_project_access
@@ -120,30 +120,11 @@ def ensure_default_library(
kind = AssetLibraryKind(request.kind)
# 查找该项目下同 kind 的素材库,返回第一个
existing = asset_library_repository.find_by_project(request.project_id)
for lib in existing:
if lib.kind == kind:
return _to_asset_library_response(lib)
# 不存在 → 自动创建
import uuid
from datetime import datetime, timezone
now = datetime.now(timezone.utc)
# Issue #1775: 幂等获取/创建——依赖唯一约束 uq_asset_libraries_project_kind
# 并发创建冲突时回滚重查返回已有记录,不再依赖应用层"先查后插",也不会 500。
default_name = _DEFAULT_LIBRARY_NAMES.get(request.kind, f"{request.kind}素材库")
library = AssetLibrary(
id=str(uuid.uuid4()),
project_id=request.project_id,
name=default_name,
kind=kind,
asset_count=0,
total_size=0,
created_at=now,
updated_at=now,
)
created = asset_library_repository.create(library)
return _to_asset_library_response(created)
library = asset_library_repository.get_or_create_default_library(request.project_id, kind, name=default_name)
return _to_asset_library_response(library)
@router.delete("/{library_id}", status_code=status.HTTP_204_NO_CONTENT, response_class=Response)
+2 -2
View File
@@ -177,8 +177,8 @@ def _cleanup_expired_uploads() -> int:
meta_file.unlink()
cleaned += 1
logger.info(f"Cleaned up expired upload: {upload_id}")
except Exception as e:
logger.warning(f"Failed to cleanup upload metadata {meta_file}: {e}")
except Exception:
logger.exception("Failed to cleanup upload metadata: %s", meta_file)
return cleaned
@@ -108,7 +108,7 @@ def create_variant_plans(
if _latest:
source_plan_id = _latest.id
except Exception:
logger.warning("[variant-plans] 源 plan 解析失败", exc_info=True)
logger.exception("[variant-plans] 源 plan 解析失败")
if not source_plan_id:
raise HTTPException(
@@ -122,7 +122,7 @@ def create_variant_plans(
voice_durations = _query_voice_durations(db, voices)
except Exception:
logger.warning("[variant-plans] 配音时长查询失败(按占位段长选片)", exc_info=True)
logger.exception("[variant-plans] 配音时长查询失败(按占位段长选片)")
voice_durations = [0.0] * request.count
from app.services.edit_plan_service import EditPlanService
@@ -143,7 +143,7 @@ def create_variant_plans(
except HTTPException:
raise
except Exception as e:
logger.error("[variant-plans] 选片异常: %s", e, exc_info=True)
logger.exception("[variant-plans] 选片异常")
raise HTTPException(status_code=500, detail="选片失败,请稍后重试") from e
# 组装 clips 响应
+186
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@@ -0,0 +1,186 @@
"""对口型 API 路由 — #1796 MediaKit 对口型, #1809 参数调整.
接口:
POST /api/v1/lipsync/jobs 提交对口型任务
GET /api/v1/lipsync/jobs 任务列表
GET /api/v1/lipsync/jobs/{id} 任务详情
POST /api/v1/lipsync/jobs/{id}/refresh 刷新任务状态
POST /api/v1/lipsync/jobs/{id}/cancel 取消任务
"""
from __future__ import annotations
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import (
get_db_session,
get_voice_clone_profile_repository,
)
from app.schemas.lipsync import CreateLipsyncJobRequest, LipsyncJobResponse
from app.services.lipsync_service import LipsyncService
from app.services.mediakit_client import MediaKitError
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
router = APIRouter()
def _get_service(
db: Session = Depends(get_db_session),
voice_clone_repo=Depends(get_voice_clone_profile_repository),
) -> LipsyncService:
# voice_clone_repo 用于克隆音色 profile 解析
# TTS 合成已移至 Celery 异步任务,无需同步注入 cosyvoice_service
return LipsyncService(
db,
voice_clone_repo=voice_clone_repo,
)
# ── POST /jobs — 提交对口型任务 ───────────────────────────────────────────
@router.post("/jobs", response_model=LipsyncJobResponse, status_code=201)
def create_lipsync_job(
body: CreateLipsyncJobRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: LipsyncService = Depends(_get_service),
):
"""提交对口型任务.
#1809/#1822: 前端传 {video_url, voice_id, script_text, speed?, emotion?}
后端创建任务记录(状态 tts_processing),dispatch Celery 异步任务执行 TTS 合成 + MediaKit 提交;
也支持直接传 {video_url, audio_url}(同步提交 MediaKit)。
"""
try:
job = svc.create_job(
user_id=current_user.user.id,
video_url=body.video_url,
audio_url=body.audio_url,
voice_id=body.voice_id,
script_text=body.script_text,
speed=body.speed,
emotion=body.emotion,
enable_video_loop=body.enable_video_loop,
project_id=body.project_id,
)
except ValueError as exc:
# 参数无效(如 voice_id 格式不对、文本过长等)
raise HTTPException(status_code=400, detail=str(exc)) from exc
except MediaKitError as exc:
# 音色无权访问 → 403;参数无效 → 400MediaKit 提交失败 → 502
status_code = 502
if exc.code in ("VoiceForbidden",):
status_code = 403
elif exc.code in ("InvalidInput", "TTSInvalidParam", "VoiceNotReady"):
status_code = 400
raise HTTPException(
status_code=status_code,
detail={
"code": exc.code,
"message": str(exc),
"request_id": getattr(exc, "request_id", ""),
},
) from exc
except Exception as exc:
# 兜底:任何未预期的错误返回 400 而非 500
logger.error("创建对口型任务异常: %s", exc, exc_info=True)
raise HTTPException(
status_code=400,
detail=f"创建对口型任务失败: {exc}",
) from exc
return job
# ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
@router.get("/jobs", response_model=dict)
def list_lipsync_jobs(
project_id: str = Query("", description="项目 ID 过滤"),
status: str = Query("", description="状态过滤"),
offset: int = Query(0, ge=0),
limit: int = Query(20, ge=1, le=100),
current_user: AuthenticatedUser = Depends(get_current_user),
svc: LipsyncService = Depends(_get_service),
):
"""获取对口型任务列表."""
items, total = svc.list_jobs(
user_id=current_user.user.id,
project_id=project_id,
status=status,
offset=offset,
limit=limit,
)
return {
"items": [LipsyncJobResponse.model_validate(j) for j in items],
"total": total,
"offset": offset,
"limit": limit,
}
# ── GET /jobs/{job_id} — 任务详情 ────────────────────────────────────────
@router.get("/jobs/{job_id}", response_model=LipsyncJobResponse)
def get_lipsync_job(
job_id: str,
background: BackgroundTasks,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: LipsyncService = Depends(_get_service),
):
"""获取对口型任务详情.
非终态任务:先返回 DB 缓存,挂后台刷新(下次轮询拿到新状态),
避免 MediaKit 慢响应阻塞前端轮询。
"""
job = svc.get_job(job_id, current_user.user.id)
if job is None:
raise HTTPException(status_code=404, detail="任务不存在")
if job.status not in ("completed", "failed"):
background.add_task(svc.refresh_job_status, job_id, current_user.user.id)
return job
# ── POST /jobs/{job_id}/refresh — 刷新状态 ───────────────────────────────
@router.post("/jobs/{job_id}/refresh", response_model=LipsyncJobResponse)
def refresh_lipsync_job(
job_id: str,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: LipsyncService = Depends(_get_service),
):
"""从 MediaKit 拉取最新状态并更新."""
job = svc.refresh_job_status(job_id, current_user.user.id)
if job is None:
raise HTTPException(status_code=404, detail="任务不存在")
return job
# ── POST /jobs/{job_id}/cancel — 取消任务 ────────────────────────────────
@router.post("/jobs/{job_id}/cancel", response_model=LipsyncJobResponse)
def cancel_lipsync_job(
job_id: str,
current_user: AuthenticatedUser = Depends(get_current_user),
svc: LipsyncService = Depends(_get_service),
):
"""取消对口型任务(仅 pending/tts_processing/submitted 状态可取消)."""
job = svc.cancel_job(job_id, current_user.user.id)
if job is None:
raise HTTPException(status_code=404, detail="任务不存在")
if job.status != "cancelled":
raise HTTPException(
status_code=400,
detail=f"任务状态 {job.status} 不可取消,仅 pending/tts_processing/submitted 可取消",
)
return job
+41 -1
View File
@@ -1,13 +1,14 @@
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_project_repository
from app.dependencies import get_asset_library_repository, get_project_repository
from app.schemas.project import (
CreateProjectRequest,
ListProjectsResponse,
ProjectResponse,
)
from fastapi import APIRouter, Depends, HTTPException, Response, status
from pydantic import BaseModel
from packages.application import (
CreateProjectCommand,
@@ -16,10 +17,20 @@ from packages.application import (
GetProjectUseCase,
ListProjectsUseCase,
)
from packages.domain import AssetLibraryKind
router = APIRouter()
class DefaultContextResponse(BaseModel):
"""幂等默认上下文响应(Issue #1775):默认项目 + 各类型默认素材库 ID。"""
project_id: str
image_library_id: str
video_library_id: str
voice_library_id: str
def _to_project_response(item) -> ProjectResponse:
return ProjectResponse(
id=item.id,
@@ -72,6 +83,35 @@ def create_project(
return _to_project_response(project)
@router.post("/ensure-default", response_model=DefaultContextResponse)
def ensure_default_project_and_libraries(
authenticated_user: AuthenticatedUser = Depends(get_current_user),
project_repository: Any = Depends(get_project_repository),
asset_library_repository: Any = Depends(get_asset_library_repository),
) -> DefaultContextResponse:
"""幂等获取/创建当前用户的默认项目和三类默认素材库(Issue #1775)。
- 同一用户永远只有一个默认项目(部分唯一索引 uq_projects_owner_default
- 同一项目同 kind 永远只有一个默认素材库(唯一约束 uq_asset_libraries_project_kind
- 并发调用/失败重试:唯一约束冲突时返回已存在记录,不报 500
- 项目和素材库的创建各自在仓储事务内幂等,冲突回滚后重查返回同一条
"""
user_id = authenticated_user.user.id
project = project_repository.get_or_create_default_project(user_id)
libraries = {}
for kind in (AssetLibraryKind.VIDEO, AssetLibraryKind.VOICE, AssetLibraryKind.IMAGE):
library = asset_library_repository.get_or_create_default_library(project.id, kind)
libraries[kind] = library.id
return DefaultContextResponse(
project_id=project.id,
image_library_id=libraries[AssetLibraryKind.IMAGE],
video_library_id=libraries[AssetLibraryKind.VIDEO],
voice_library_id=libraries[AssetLibraryKind.VOICE],
)
@router.delete("/{project_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
def delete_project(
project_id: str,
+123
View File
@@ -0,0 +1,123 @@
"""Script (口播文案库) CRUD routes — Issue #1795."""
from __future__ import annotations
from typing import Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session
from app.schemas.script import (
CreateScriptRequest,
ScriptListResponse,
ScriptResponse,
ScriptSegment,
UpdateScriptRequest,
)
from app.services.script_service import ScriptNotFoundError, ScriptService
from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
from sqlalchemy.orm import Session
router = APIRouter()
def _get_service(session: Session = Depends(get_db_session)) -> ScriptService:
return ScriptService(session)
def _to_response(script) -> ScriptResponse:
segments = script.segments or []
return ScriptResponse(
id=script.id,
user_id=script.user_id,
title=script.title,
content=script.content,
segments=[
ScriptSegment(text=s.get("text", ""), duration=s.get("duration")) if isinstance(s, dict) else s
for s in segments
],
tags=script.tags or [],
created_at=script.created_at,
updated_at=script.updated_at,
)
@router.get("", response_model=ScriptListResponse)
def list_scripts(
skip: int = Query(0, ge=0),
limit: int = Query(50, ge=1, le=200),
tag: Optional[str] = Query(None, description="按标签筛选"),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
svc: ScriptService = Depends(_get_service),
) -> ScriptListResponse:
user_id = authenticated_user.user.id
items, total = svc.list_scripts(user_id, skip=skip, limit=limit, tag=tag)
return ScriptListResponse(
items=[_to_response(i) for i in items],
total=total,
)
@router.post("", response_model=ScriptResponse, status_code=status.HTTP_201_CREATED)
def create_script(
request: CreateScriptRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
svc: ScriptService = Depends(_get_service),
) -> ScriptResponse:
user_id = authenticated_user.user.id
script = svc.create_script(
user_id=user_id,
title=request.title,
content=request.content,
segments=[s.model_dump() for s in request.segments],
tags=request.tags,
)
return _to_response(script)
@router.get("/{script_id}", response_model=ScriptResponse)
def get_script(
script_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
svc: ScriptService = Depends(_get_service),
) -> ScriptResponse:
user_id = authenticated_user.user.id
try:
script = svc.get_script(script_id, user_id)
except ScriptNotFoundError as exc:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found") from exc
return _to_response(script)
@router.put("/{script_id}", response_model=ScriptResponse)
def update_script(
script_id: str,
request: UpdateScriptRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
svc: ScriptService = Depends(_get_service),
) -> ScriptResponse:
user_id = authenticated_user.user.id
try:
script = svc.update_script(
script_id=script_id,
user_id=user_id,
title=request.title,
content=request.content,
segments=[s.model_dump() for s in request.segments] if request.segments is not None else None,
tags=request.tags,
)
except ScriptNotFoundError as exc:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found") from exc
return _to_response(script)
@router.delete("/{script_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
def delete_script(
script_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
svc: ScriptService = Depends(_get_service),
) -> Response:
user_id = authenticated_user.user.id
deleted = svc.delete_script(script_id, user_id)
if not deleted:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found")
return
+5
View File
@@ -106,6 +106,10 @@ def list_templates(
tag: str | None = Query(None, description="按标签筛选"),
keyword: str | None = Query(None, description="按名称关键词搜索"),
mode: str | None = Query(None, description="按剪辑模式筛选"),
valid_only: bool = Query(
False,
description="仅返回已配置片段的模板(剪辑页传 true;模板编辑器不传,可查看全部模板含草稿)",
),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
) -> ListTemplatesResponse:
@@ -116,6 +120,7 @@ def list_templates(
tag=tag,
keyword=keyword,
mode=mode,
valid_only=valid_only,
)
use_case = ListTemplatesUseCase(template_repository)
templates = use_case.execute(user_id, skip=skip, limit=limit, filter=tpl_filter)
@@ -65,8 +65,8 @@ def _build_asset_analyses(
if url:
video_urls.append(url)
valid_asset_ids.append(aid)
except Exception as e:
logger.warning("获取素材URL失败: asset_id=%s error=%s", aid, str(e))
except Exception:
logger.exception("获取素材URL失败: asset_id=%s", aid)
if not video_urls:
logger.info("无可用视频素材,跳过视频理解分析")
@@ -108,7 +108,7 @@ def _build_asset_analyses(
return analyses
except Exception as e:
logger.warning("MediaKit 视频理解异常,将降级到无分析模式: %s", str(e))
logger.exception("MediaKit 视频理解异常,将降级到无分析模式: %s", e)
return {}
@@ -177,7 +177,7 @@ def editor_ai_recommend(
try:
db.rollback()
except Exception:
pass
logger.exception("db rollback failed in ai_recommend")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="AI推荐结果保存失败,请稍后重试",
@@ -36,17 +36,11 @@ from app.services.asset_segment_tracker import (
remove_used_segment,
)
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from app.services.edit_template_service import EditTemplateService, TemplateNotFoundError
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query, status
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
from packages.adapters.sqlalchemy_impl.template_clip_config_repository import (
SQLAlchemyTemplateClipConfigRepository,
)
from packages.adapters.sqlalchemy_impl.template_repository import (
SQLAlchemyTemplateRepository,
)
from packages.domain.plan_generator_utils import (
_calc_random_start_time,
build_scene_segments,
@@ -138,8 +132,8 @@ def _build_asset_url_map(
result: dict[str, str | None] = {}
try:
storage = get_storage_service()
except Exception:
logger.warning("获取存储服务失败,跳过asset_url生成")
except Exception as e:
logger.exception("获取存储服务失败,跳过asset_url生成: %s", e)
return {aid: None for aid in asset_ids}
# 批量查询所有 Asset(单次 SQL IN 查询,避免 N+1)
@@ -147,7 +141,7 @@ def _build_asset_url_map(
assets = asset_repo.find_by_ids(unique_ids)
asset_map = {a.id: a for a in assets}
except Exception:
logger.warning("批量查询素材失败: asset_ids=%s", asset_ids, exc_info=True)
logger.exception("批量查询素材失败: asset_ids=%s", asset_ids)
return {aid: None for aid in asset_ids if aid}
for aid in unique_ids:
@@ -162,7 +156,7 @@ def _build_asset_url_map(
continue
result[aid] = storage.get_download_url(storage_key, expires_seconds=3600)
except Exception:
logger.warning("生成素材签名URL失败: asset_id=%s", aid, exc_info=True)
logger.exception("生成素材签名URL失败: asset_id=%s", aid)
result[aid] = None
return result
@@ -399,68 +393,42 @@ def _safe_segment_duration(value, default: float) -> float:
def _get_template_segments(
template_id: str,
user_id: str,
tpl_svc: EditTemplateService,
db: Session,
) -> list[tuple[int, float, float]]:
"""获取模板的片段配置(顺序、最短时长、最长时长).
优先从新模板系统(template_clip_configs)查询,
若不存在则回退到旧模板系统(template_segments)。
单一数据源:模板主表为 ``templates``(用户自建,归属 user_id/
``edit_templates``(全局模板库),片段配置主表为 ``template_clip_configs``
(由 ``EditTemplateService.list_clip_configs_for_editor`` 统一读取)。
不再使用"新表抛异常 → 降级直查配置表 → 再降级查 segments"的异常控制流,
也不在正常请求中打印 ``ValueError: 模板不存在`` 堆栈。
Args:
template_id: 模板 ID
user_id: 当前登录用户 ID(用于归属校验)
tpl_svc: 模板编辑器服务
Returns:
[(segment_order, duration_min, duration_max), ...] 按 order 排序
[(segment_order, duration_min, duration_max), ...] 按 order 排序
模板存在但未配置片段时返回空列表。
Raises:
TemplateNotFoundError: 模板不存在、已删除或不归属于当前用户。
"""
# 优先查新模板系统
try:
clip_configs = tpl_svc.list_clip_configs(template_id)
if clip_configs:
result = []
for cc in clip_configs:
dur_min = _safe_segment_duration(cc.min_duration, _DEFAULT_EDITOR_CLIP_DURATION)
dur_max = _safe_segment_duration(
cc.max_duration or cc.min_duration,
_DEFAULT_EDITOR_CLIP_DURATION,
)
dur_min, dur_max = min(dur_min, dur_max), max(dur_min, dur_max)
result.append((cc.order, dur_min, dur_max))
return sorted(result, key=lambda x: x[0])
except Exception:
logger.warning("新模板系统查询clip_configs失败(主表可能不存在),直接查clip_configs表", exc_info=True)
clip_configs = tpl_svc.list_clip_configs_for_editor(template_id, user_id)
# 兜底:直接查 template_clip_configs 表(片段表有 template_id 外键,不依赖模板主表)
try:
direct_repo = SQLAlchemyTemplateClipConfigRepository(db)
direct_configs = direct_repo.list_by_template(template_id)
if direct_configs:
result = []
for cc in direct_configs:
dur_min = _safe_segment_duration(cc.min_duration, _DEFAULT_EDITOR_CLIP_DURATION)
dur_max = _safe_segment_duration(
cc.max_duration or cc.min_duration,
_DEFAULT_EDITOR_CLIP_DURATION,
)
dur_min, dur_max = min(dur_min, dur_max), max(dur_min, dur_max)
result.append((cc.order, dur_min, dur_max))
return sorted(result, key=lambda x: x[0])
except Exception:
logger.warning("直接查clip_configs表也失败,继续回退旧系统", exc_info=True)
# 回退到旧模板系统(template_segments表)
try:
old_repo = SQLAlchemyTemplateRepository(db)
segments = old_repo.list_segments(template_id)
if segments:
result = []
for s in segments:
dur_min = _safe_segment_duration(s.duration_min, _DEFAULT_EDITOR_CLIP_DURATION)
dur_max = _safe_segment_duration(s.duration_max, _DEFAULT_EDITOR_CLIP_DURATION)
dur_min, dur_max = min(dur_min, dur_max), max(dur_min, dur_max)
result.append((s.segment_order, dur_min, dur_max))
return sorted(result, key=lambda x: x[0])
except Exception:
logger.warning("旧模板系统查询segments失败", exc_info=True)
return []
result = []
for cc in clip_configs:
dur_min = _safe_segment_duration(cc.min_duration, _DEFAULT_EDITOR_CLIP_DURATION)
dur_max = _safe_segment_duration(
cc.max_duration or cc.min_duration,
_DEFAULT_EDITOR_CLIP_DURATION,
)
dur_min, dur_max = min(dur_min, dur_max), max(dur_min, dur_max)
result.append((cc.order, dur_min, dur_max))
return sorted(result, key=lambda x: x[0])
def _recommended_time_conflicts(
@@ -518,8 +486,8 @@ def _get_mediakit_recommendations(
if url:
video_urls.append(url)
valid_asset_ids.append(asset_id)
except Exception as e:
logger.warning("获取素材URL失败: asset_id=%s error=%s", asset_id, e)
except Exception:
logger.exception("获取素材URL失败: asset_id=%s", asset_id)
if not video_urls:
return {}
@@ -595,7 +563,7 @@ def _get_mediakit_recommendations(
return recommendations
except Exception as e:
logger.warning("MediaKit 智能选片异常,降级为随机选择: %s", e)
logger.exception("MediaKit 智能选片异常,降级为随机选择: %s", e)
return {}
@@ -663,13 +631,21 @@ def create_clips_from_assets_editor(
7. 素材时长为 0 或缺失时报 400,不创建无效片段
"""
tpl_svc, plan_svc = services
user_id = str(current_user.user.id)
# 1. 查询模板 segments
segments = _get_template_segments(template_id, tpl_svc, db)
# 1. 查询模板片段配置。模板不存在/已删除/无权限 → 404;
# 模板存在但确实未配置片段 → 422(配置错误,与 404 区分)。
try:
segments = _get_template_segments(template_id, user_id, tpl_svc)
except TemplateNotFoundError as exc:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="模板不存在或无权访问",
) from exc
if not segments:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="模板没有片段配置,无法创建片段",
status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
detail="模板未配置片段",
)
# 防御:schema validator 已过滤 null/空串,这里再归一化一次,
@@ -884,7 +860,7 @@ def create_clips_from_assets_editor(
duplicate_warning = None
if dup_rate > 50:
duplicate_warning = f"查重率 {dup_rate:.1f}% 超过50%,建议更换素材或模板"
logger.warning(
logger.exception(
"from-assets 成片查重率超标: plan_id=%s dup_rate=%.1f%%",
plan_id,
dup_rate,
@@ -984,8 +960,8 @@ def _update_mediakit_recommendations_async( # pragma: no cover
# 尝试获取存储服务(用于生成视频 URL)
try:
storage = get_storage_service()
except Exception:
logger.warning("后台任务: 获取存储服务失败,跳过 SceneChange 更新")
except Exception as e:
logger.exception("后台任务: 获取存储服务失败,跳过 SceneChange 更新: %s", e)
return
# 获取 MediaKit 客户端
@@ -1011,8 +987,8 @@ def _update_mediakit_recommendations_async( # pragma: no cover
if storage_key and mime.startswith("video/"):
try:
video_url = storage.get_download_url(storage_key)
except Exception as e:
logger.warning("后台任务: 获取素材URL失败: asset_id=%s error=%s", asset_id, e)
except Exception:
logger.exception("后台任务: 获取素材URL失败: asset_id=%s", asset_id)
# 构建该素材的占用区间列表(排除已更新片段)
def _get_other_segments(asset_id_inner, clip_id_inner):
@@ -1063,12 +1039,11 @@ def _update_mediakit_recommendations_async( # pragma: no cover
asset_id,
len(scene_changes),
)
except Exception as cache_err:
except Exception:
# 缓存写入失败不影响本次片段更新
logger.warning(
"后台任务: 场景点缓存写入失败: asset_id=%s error=%s",
logger.exception(
"后台任务: 场景点缓存写入失败: asset_id=%s",
asset_id,
cache_err,
)
# SceneChange 未获得有效结果 → 尝试 analyze_videos 作为 fallback
@@ -1148,11 +1123,10 @@ def _update_mediakit_recommendations_async( # pragma: no cover
recommended_start + clip_duration,
plan_id,
)
except Exception as me:
logger.warning(
"后台任务: 同步素材区间记录失败,回滚本次片段更新: clip_id=%s error=%s",
except Exception:
logger.exception(
"后台任务: 同步素材区间记录失败,回滚本次片段更新: clip_id=%s",
clip.id,
me,
)
db.rollback()
continue
@@ -1168,8 +1142,8 @@ def _update_mediakit_recommendations_async( # pragma: no cover
asset_id,
recommended_start,
)
except Exception as ue:
logger.warning("后台任务: 单个片段更新失败: clip_id=%s error=%s", clip.id, ue)
except Exception:
logger.exception("后台任务: 单个片段更新失败: clip_id=%s", clip.id)
try:
db.rollback()
except Exception:
@@ -1178,9 +1152,9 @@ def _update_mediakit_recommendations_async( # pragma: no cover
logger.info("后台任务完成: plan_id=%s 成功更新 %d 个片段", plan_id, updated_count)
except Exception as e:
except Exception:
# 后台任务失败不影响已创建的片段,静默处理
logger.warning("后台任务异常: plan_id=%s error=%s", plan_id, e, exc_info=True)
logger.exception("后台任务异常: plan_id=%s", plan_id)
if db:
try:
db.rollback()
@@ -41,29 +41,33 @@ def get_draft_plan_id(
这是模板编辑器路由的核心依赖——所有编辑器端点都先经过这里,
确保 template_id → plan_id 的映射始终存在。
兼容策略:优先从新模板系统(edit_templates 表)查找,
若不存在则回退到旧模板系统(templates 表),确保用户自建模板可用。
模板读取遵循单一数据源、显式判定(不使用异常降级):
- 用户自建模板在旧表 ``templates``(归属 user_idis_active=True);
- 全局模板在新表 ``edit_templates``(无 user_id,全局可读)。
模板不存在、已删除或不归属于当前用户时,一律返回 404。
"""
tpl_svc, plan_svc = services
user_id = str(current_user.user.id)
# 0. 门禁:校验模板存在且可访问(即使草稿已缓存命中也要校验,
# 避免模板被删除/无权访问后仍可通过既有草稿 plan 继续操作)。
old_repo = SQLAlchemyTemplateRepository(db)
old_template = old_repo.get_active(template_id, user_id)
is_global_template = tpl_svc.get_template(template_id) is not None
if old_template is None and not is_global_template:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模板不存在")
# 1. 草稿已存在 → 直接返回
draft = tpl_svc.get_template_draft(template_id)
if draft is not None:
return draft.id
# 2. 新系统有模板 → 用新服务创建草稿
if tpl_svc.get_template(template_id) is not None:
# 2. 全局模板(新系统)→ 用新服务创建草稿
if is_global_template:
draft = tpl_svc.create_template_draft(template_id, user_id=user_id)
return draft.id
# 3. 回退到旧模板系统templates 表)
old_repo = SQLAlchemyTemplateRepository(db)
old_template = old_repo.get(template_id, user_id=user_id)
if old_template is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模板不存在")
# 4. 基于旧模板创建草稿计划
# 3. 旧模板(templates 表)→ 基于旧模板创建草稿计划
from app.services.plan_generator_service import PlanGeneratorService
from packages.domain.edit_template import EditTemplate, EditTemplateStatus
@@ -150,7 +150,7 @@ def rollback_template(
try:
tpl = tpl_svc.rollback_to_version(template_id, request.version)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
clip_configs = tpl_svc.list_clip_configs(template_id)
return EditorRollbackResponse(
+10 -1
View File
@@ -173,6 +173,14 @@ def synthesize(
# job.voice_id 统一存解析后的 CosyVoice voice_id
actual_voice_id = resolved_profile.voice_id
# 语速/情绪等合成参数随 metadata 落库,workflow 提交 CosyVoice 时读取透传
synthesis_meta = {
"speed": request.speed,
"emotion": request.emotion or "",
}
if request.metadata_:
synthesis_meta.update(request.metadata_)
use_case = CreateTTSJobUseCase(repository)
job = use_case.execute(
user_id=user_id,
@@ -180,7 +188,7 @@ def synthesize(
voice_id=actual_voice_id,
voice_model=request.voice_model,
voice_clone_profile_id=voice_clone_profile_id,
metadata=request.metadata_,
metadata=synthesis_meta,
)
# 提交 CosyVoice 合成任务
@@ -567,6 +575,7 @@ def preview_tts(
text=request.text,
voice_id=actual_voice_id,
speed=request.speed,
emotion=request.emotion,
)
except CosyVoiceError as e:
raise HTTPException(
+5
View File
@@ -208,6 +208,8 @@ def _create_pending_asset(
find-or-createprepare 阶段已按 file_hash/client_upload_id 预建的占位记录
会被 find_by_library_and_file_hash/find_by_library_and_client_upload_id 命中,
直接复用并补齐字段(避免 pre-create + complete 重复建两条)。
Issue #1776: 素材库计数由 asset_repository.create() 自动维护。
"""
# 1. 按 client_upload_id / file_hash 查找现有记录
existing = None
@@ -389,6 +391,7 @@ async def prepare_direct_upload(
file_size=request.file_size,
)
pending_asset_id = pending.id
# Issue #1776: 计数由 asset_repository.create() 自动维护
except Exception as error:
# 预建失败不阻塞签名:complete 仍可按 OSS 文件 + hash 兜底去重
logger.warning("预建 asset 占位失败,降级走 old flow: %s", error)
@@ -474,6 +477,7 @@ async def complete_direct_upload(
client_upload_id=request.client_upload_id,
file_size=request.file_size,
)
# Issue #1776: 计数由 asset_repository.create() 自动维护
job = _submit_ingest_job(
project_id=request.project_id,
@@ -568,6 +572,7 @@ async def upload_asset(
file_hash=file_hash,
client_upload_id=client_upload_id,
)
# Issue #1776: 计数由 asset_repository.create() 自动维护
job = _submit_ingest_job(
project_id=project_id,
+6 -6
View File
@@ -163,12 +163,12 @@ def create_voice_clone(
celery_app.send_task("worker.process_voice_clone", args=[profile.id])
logger.info(f"Celery task dispatched for voice clone {profile.id}")
except Exception as e:
logger.error(f"Failed to dispatch Celery task: {e}")
logger.exception("Failed to dispatch Celery task")
# P2-3: Celery 调度失败时标记 profile 为 failed,避免永久卡在 processing
try:
workflow.process_clone_failure(profile.id, f"Celery 任务调度失败: {e}")
except Exception as inner_e:
logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
except Exception:
logger.exception("Failed to mark profile as failed after dispatch error")
return _to_response(profile)
@@ -277,12 +277,12 @@ def retry_voice_clone(
celery_app.send_task("worker.process_voice_clone", args=[profile.id])
logger.info(f"Celery task dispatched for voice clone retry {profile.id}")
except Exception as e:
logger.error(f"Failed to dispatch Celery task: {e}")
logger.exception("Failed to dispatch Celery task")
# P2-3: Celery 调度失败时标记 profile 为 failed,避免永久卡在 processing
try:
workflow.process_clone_failure(profile.id, f"Celery 任务调度失败: {e}")
except Exception as inner_e:
logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
except Exception:
logger.exception("Failed to mark profile as failed after dispatch error")
return _to_response(profile)
+4 -3
View File
@@ -105,8 +105,8 @@ def _resolve_preset_preview_url(
_preset_preview_cache[voice_id] = (audio_url, time.time())
logger.info("Preset voice preview generated: %s", voice_id)
return audio_url
except Exception as e:
logger.warning("Failed to generate preview for %s, using fallback: %s", voice_id, e)
except Exception:
logger.exception("Failed to generate preset voice preview: voice_id=%s", voice_id)
return fallback_url
@@ -127,6 +127,7 @@ def _resolve_all_preset_preview_urls(
try:
result_map[p.voice_id] = _resolve_preset_preview_url(p.voice_id, p.preview_url, cosyvoice)
except Exception:
logger.exception("Failed to resolve preset preview URL: voice_id=%s", p.voice_id)
result_map[p.voice_id] = p.preview_url
return result_map
@@ -732,7 +733,7 @@ def _find_or_create_voice_library_for_extract(*, user_id, project_repository, as
try:
session.rollback()
except Exception:
pass
logger.exception("session rollback failed in _find_or_create_voice_library")
for lib in asset_library_repository.find_by_project(project.id):
kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
if kind == AssetLibraryKind.VOICE.value:
+124
View File
@@ -0,0 +1,124 @@
"""AI数字人渲染合成管线 API Schema — #1798."""
from __future__ import annotations
from datetime import datetime
from typing import Any, Optional
from pydantic import BaseModel, Field, field_validator
class BRollSegment(BaseModel):
"""B-roll 片段配置."""
script_segment_index: int = Field(..., ge=0, description="对应文案片段索引")
asset_url: str = Field(..., description="B-roll 素材 URL")
mode: str = Field(..., description="插入模式: fullscreen 或 pip")
start_time: float = Field(..., ge=0.0, description="在对口型视频中的起始时间(秒)")
end_time: float = Field(..., ge=0.0, description="在对口型视频中的结束时间(秒)")
pip_position: Optional[str] = Field("bottom_right", description="pip 模式位置")
pip_scale: Optional[float] = Field(0.3, ge=0.05, le=1.0, description="pip 模式缩放比例")
@field_validator("mode")
@classmethod
def validate_mode(cls, v: str) -> str:
v = v.strip().lower()
if v not in ("fullscreen", "pip"):
raise ValueError("mode 必须为 fullscreen 或 pip")
return v
@field_validator("asset_url")
@classmethod
def validate_asset_url(cls, v: str) -> str:
v = v.strip()
if not v:
raise ValueError("asset_url 不能为空")
if not v.startswith(("http://", "https://")):
raise ValueError("asset_url 必须是 HTTP/HTTPS URL")
return v
@field_validator("end_time")
@classmethod
def validate_end_time(cls, v: float, info: Any) -> float:
start = info.data.get("start_time", 0.0)
if v <= start:
raise ValueError("end_time 必须大于 start_time")
return v
class CreateAiAvatarRenderRequest(BaseModel):
"""创建渲染任务请求."""
lipsync_job_id: str = Field(..., description="对口型任务 ID")
script_id: str = Field("", description="文案 ID(选自文案库时传;手动输入文案直生场景可留空)")
b_roll_segments: list[BRollSegment] = Field(default_factory=list, description="B-roll 片段列表")
title_config: dict[str, Any] = Field(default_factory=dict, description="标题配置")
cover_config: dict[str, Any] = Field(default_factory=dict, description="封面配置")
project_id: str = Field("", description="项目 ID")
@field_validator("lipsync_job_id")
@classmethod
def validate_lipsync_job_id(cls, v: str) -> str:
v = v.strip()
if not v:
raise ValueError("lipsync_job_id 不能为空")
return v
@field_validator("script_id")
@classmethod
def validate_script_id(cls, v: str) -> str:
# script_id 可选:手动输入文案(TTS 直生)场景不关联文案库条目
return (v or "").strip()
class AiAvatarRenderJobResponse(BaseModel):
"""渲染任务响应."""
id: str
user_id: str
project_id: str
lipsync_job_id: str
script_id: str = ""
b_roll_segments: list[dict[str, Any]]
title_config: dict[str, Any]
cover_config: dict[str, Any]
status: str
progress: int
output_video_url: str
output_cover_url: str
output_duration: float
error_message: str
submitted_at: Optional[datetime] = None
started_at: Optional[datetime] = None
completed_at: Optional[datetime] = None
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class AiAvatarRenderProgressResponse(BaseModel):
"""渲染进度响应."""
status: str
progress: int
output_video_url: str
output_cover_url: str
output_duration: float
error_message: str
class SmartCoverRequest(BaseModel):
"""智能封面请求 — MediaKit 抽帧 + 质量评分选最佳帧."""
video_url: str = Field(..., description="数字人视频 URL(对口型/渲染成片)")
max_frames: int = Field(5, ge=1, le=10, description="抽帧数量(默认 5")
class SmartCoverResponse(BaseModel):
"""智能封面响应."""
cover_url: str = Field("", description="封面图公网 URL(OSS,非临时);失败为空")
status: str = Field("completed", description="completed / fallback_failed")
message: str = Field("", description="失败原因(如有)")
+100
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@@ -0,0 +1,100 @@
"""对口型 API Schema 定义 — #1796 / #1809 / #1822.
支持两种输入模式(二选一):
1. TTS 直生模式(推荐):传 voice_id + script_text+ speed/emotion),
后端内部先调 CosyVoice 合成音频,再提交 MediaKit 对口型。
2. 直接音频模式:传 video_url + audio_url(音频已由调用方准备好)。
"""
from __future__ import annotations
from datetime import datetime
from typing import Optional
from pydantic import BaseModel, Field, model_validator
class LipsyncJobResponse(BaseModel):
"""对口型任务响应."""
id: str
user_id: str
project_id: str
video_url: str
audio_url: str
enable_video_loop: bool
voice_id: str = ""
script_text: str = ""
speed: float = 1.0
emotion: str = ""
mediakit_task_id: str
status: str
output_video_url: str
output_duration: float
error_message: str
error_code: str
submitted_at: Optional[datetime] = None
completed_at: Optional[datetime] = None
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class CreateLipsyncJobRequest(BaseModel):
"""创建对口型任务请求.
两种模式(二选一):
- TTS 直生:voice_id + script_text 必填(+ 可选 speed/emotion);audio_url 留空。
- 直接音频:video_url + audio_url 必填。
"""
video_url: str = Field(..., description="人物视频 URL(MP4,≤30min,单人真人)")
# 模式 2:直接音频
audio_url: str = Field("", description="驱动音频 URLmp3/aac/wav/m4a/flac);直生模式留空")
# 模式 1TTS 直生
voice_id: str = Field("", description="音色 ID(预置音色或克隆音色 profile UUID")
script_text: str = Field("", description="要合成的文案(直生模式必填,最长 5000 字符)")
speed: float = Field(1.0, ge=0.5, le=2.0, description="语速(0.5-2.0),默认 1.0")
emotion: str = Field("", description="情绪(natural/excited/calm/friendly 或中文 自然/兴奋/沉稳/亲切)")
enable_video_loop: bool = Field(False, description="音频长于视频时是否循环画面")
project_id: str = Field("", description="项目 ID(可选)")
@model_validator(mode="after")
def _validate_input_mode(self) -> "CreateLipsyncJobRequest":
video = (self.video_url or "").strip()
if not video:
raise ValueError("video_url 不能为空")
if not video.startswith(("http://", "https://")):
raise ValueError("video_url 必须是 HTTP/HTTPS URL")
lower = video.lower().split("?")[0]
if not lower.endswith(".mp4"):
raise ValueError("video_url 仅支持 MP4 格式")
has_audio = bool((self.audio_url or "").strip())
has_tts = bool((self.voice_id or "").strip()) and bool((self.script_text or "").strip())
if not has_audio and not has_tts:
raise ValueError(
"必须提供驱动音频:要么传 audio_url(直接音频模式),"
"要么同时传 voice_id + script_textTTS 直生模式)"
)
if has_tts and len(self.script_text) > 5000:
raise ValueError("script_text 最长 5000 字符")
if has_audio:
au = self.audio_url.strip()
if not au.startswith(("http://", "https://")):
raise ValueError("audio_url 必须是 HTTP/HTTPS URL")
au_lower = au.lower().split("?")[0]
allowed = (".mp3", ".aac", ".wav", ".m4a", ".flac")
if not any(au_lower.endswith(ext) for ext in allowed):
raise ValueError(f"audio_url 格式不支持,仅支持: {', '.join(allowed)}")
self.audio_url = au
return self
+45
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@@ -0,0 +1,45 @@
"""Script (口播文案库) Pydantic schemas — Issue #1795."""
from __future__ import annotations
from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel, Field
class ScriptSegment(BaseModel):
"""单段文案."""
text: str
duration: Optional[float] = None
class ScriptResponse(BaseModel):
id: str
user_id: str
title: str
content: str
segments: List[ScriptSegment] = Field(default_factory=list)
tags: List[str] = Field(default_factory=list)
created_at: datetime
updated_at: datetime
class ScriptListResponse(BaseModel):
items: list[ScriptResponse]
total: int = 0
class CreateScriptRequest(BaseModel):
title: str = Field(..., min_length=1, max_length=255)
content: str = ""
segments: List[ScriptSegment] = Field(default_factory=list)
tags: List[str] = Field(default_factory=list)
class UpdateScriptRequest(BaseModel):
title: Optional[str] = Field(None, min_length=1, max_length=255)
content: Optional[str] = None
segments: Optional[List[ScriptSegment]] = None
tags: Optional[List[str]] = None
+2
View File
@@ -16,6 +16,7 @@ class TTSSynthesizeRequest(BaseModel):
output_name: str = Field("", description="输出文件名")
language: str = Field("zh-CN", description="语言")
speed: float = Field(1.0, ge=0.5, le=2.0, description="语速")
emotion: str = Field("", description="情绪(natural/excited/calm/friendly,或中文 自然/兴奋/沉稳/亲切)")
voice_model: str = Field("", description="语音模型名称")
voice_clone_profile_id: str = Field("", description="关联的音色克隆档案 ID")
format: str = Field("mp3", description="输出格式(mp3/wav/pcm")
@@ -109,6 +110,7 @@ class TTSPreviewRequest(BaseModel):
text: str = Field(..., min_length=1, max_length=200, description="合成文本,限制 200 字")
voice_id: str = Field(..., min_length=1, description="音色 ID")
speed: float = Field(1.0, ge=0.5, le=2.0, description="语速")
emotion: str = Field("", description="情绪(natural/excited/calm/friendly,或中文)")
pitch: float = Field(1.0, ge=0.5, le=2.0, description="音调(预留,当前未使用)")
@@ -0,0 +1,222 @@
"""AI 数字人封面服务 — 复用智能剪辑的 MediaKit 抽帧 + 质量评分选最佳帧.
与 generation_cover.py 的智能选帧能力对齐(不再用 FFmpeg 简单截帧):
1. MediaKit extract_frames 抽取多帧(默认 5 帧,SpecifiedFrames 策略)
2. cover_frame_scorer.score_frames 按清晰度/亮度/色彩评分选最佳
3. 下载最佳帧并转存 OSS,返回公网封面 URL
降级:MediaKit 不可用或抽帧失败时返回空字符串,由调用方决定回退策略。
"""
from __future__ import annotations
import logging
import tempfile
import uuid
from pathlib import Path
from typing import Optional
from urllib.parse import urlparse
logger = logging.getLogger(__name__)
# MediaKit 抽帧轮询参数(与 MediaKit API timeout=60s 对齐)
COVER_POLL_INTERVAL = 3.0
COVER_MAX_POLL_ATTEMPTS = 20 # 最多等 60 秒
# 帧图片下载超时(秒)
FRAME_DOWNLOAD_TIMEOUT = 20
# 最佳帧下载超时(用于 persist)
BEST_FRAME_DOWNLOAD_TIMEOUT = 30
# 自家 OSS 私有桶 URL 重签有效期(供 MediaKit GPU worker 拉取)
MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
def _sign_video_url_for_mediakit(video_url: str) -> str:
"""如果 video_url 是自家 OSS 私有桶 URL,重新签名为长有效期预签名 URL。
MediaKit GPU worker 需要能公网访问 video_url,裸 public_url 在私有桶下会 403。
"""
if not video_url:
return video_url
try:
from packages.shared.storage import get_shared_storage_service
storage = get_shared_storage_service()
public_base = getattr(storage, "public_url", "")
if not isinstance(public_base, str) or not public_base:
return video_url
own_host = urlparse(public_base).netloc.lower()
url_host = urlparse(video_url).netloc.lower()
if own_host and url_host == own_host:
# 是自家 OSS URL,重签 7 天有效期供 MediaKit 拉取
signed = storage.get_download_url(video_url, expires_seconds=MEDIAKIT_URL_TTL_SECONDS)
if signed:
logger.info("[数字人封面] video_url 已重签(自家 OSS 私有桶)")
return signed
except Exception:
logger.warning("[数字人封面] video_url 重签失败,使用原始 URL", exc_info=True)
return video_url
def select_best_cover_frame(video_url: str, *, max_frames: int = 5) -> str:
"""从视频抽取多帧并评分选最佳帧,返回最佳帧的临时 URL.
Args:
video_url: 可公网访问的视频 URL
max_frames: 抽帧数量
Returns:
最佳帧图片 URL;失败返回空字符串
"""
if not video_url:
return ""
# 确保 MediaKit 能访问 video_url(自家 OSS 私有桶需重签)
video_url = _sign_video_url_for_mediakit(video_url)
try:
from packages.shared.cover_frame_scorer import score_frames
from packages.shared.mediakit_client import get_mediakit_client
mk = get_mediakit_client()
if not mk.is_available:
logger.warning("[数字人封面] MediaKit 未配置,无法智能抽帧")
return ""
logger.info(
"[数字人封面] 开始抽帧: video_url=%s max_frames=%d poll_interval=%.1f max_poll=%d",
video_url[:80],
max_frames,
COVER_POLL_INTERVAL,
COVER_MAX_POLL_ATTEMPTS,
)
snapshots = mk.extract_frames(
video_url=video_url,
strategy="SpecifiedFrames",
max_frames=max_frames,
poll_interval=COVER_POLL_INTERVAL,
max_poll_attempts=COVER_MAX_POLL_ATTEMPTS,
max_retries=1,
)
if not snapshots:
logger.warning("[数字人封面] MediaKit 未返回帧: %s", video_url[:80])
return ""
if len(snapshots) == 1:
return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
# 使用连接池下载各帧(复用 TCP 连接,减少延迟)
import httpx
candidates = []
with httpx.Client(timeout=FRAME_DOWNLOAD_TIMEOUT, follow_redirects=True) as client:
for snap in snapshots:
url = snap.get("image_url") or snap.get("url") or ""
if not url:
continue
tmp_path: Optional[str] = None
try:
resp = client.get(url)
resp.raise_for_status()
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
tmp.write(resp.content)
tmp_path = tmp.name
candidates.append({"image_path": tmp_path, "url": url})
except Exception as e:
logger.warning("[数字人封面] 帧下载失败,跳过: url=%s err=%s", url[:80], e)
candidates.append({"image_path": None, "url": url, "score": 0.0})
if not candidates:
return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
scored = score_frames(candidates)
best = scored[0] if scored else None
best_url = best.get("url", "") if best else ""
# 清理临时文件
for c in candidates:
p = c.get("image_path")
if p:
try:
Path(p).unlink(missing_ok=True)
except Exception:
pass
logger.info(
"[数字人封面] 智能选帧完成: candidates=%d best_score=%s",
len(candidates),
best.get("score") if best else "n/a",
)
return best_url
except Exception:
logger.warning("[数字人封面] 智能选帧失败", exc_info=True)
return ""
def persist_cover_to_oss(frame_url: str, *, job_id: str = "", prefix: str = "ai-avatar/covers") -> str:
"""下载帧图并转存到 OSS,返回公网封面 URL.
Args:
frame_url: MediaKit 返回的临时帧图 URL
job_id: 关联任务 ID(用于 OSS key 命名)
prefix: OSS key 前缀
Returns:
OSS 公网 URL;失败回退原始 frame_url
"""
if not frame_url:
return ""
tmp_path: Optional[str] = None
try:
import httpx
with httpx.Client(timeout=BEST_FRAME_DOWNLOAD_TIMEOUT, follow_redirects=True) as client:
resp = client.get(frame_url)
resp.raise_for_status()
if not resp.content:
logger.warning("[数字人封面] 帧图内容为空: %s", frame_url[:80])
return frame_url
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
tmp.write(resp.content)
tmp_path = tmp.name
from packages.shared.storage import get_shared_storage_service
storage = get_shared_storage_service()
token = job_id or uuid.uuid4().hex[:12]
cover_key = f"{prefix}/{token}/cover_{uuid.uuid4().hex[:8]}.jpg"
public_url = storage.upload_file(
file_or_path=tmp_path,
storage_key=cover_key,
content_type="image/jpeg",
)
logger.info("[数字人封面] 封面已转存 OSS: key=%s", cover_key)
# 私有桶:返回预签名 URL(前端才能加载)
if public_url:
signed = storage.get_download_url(cover_key, expires_seconds=86400)
return signed
return frame_url
except Exception:
logger.warning("[数字人封面] 封面转存 OSS 失败,返回原始 URL", exc_info=True)
return frame_url
finally:
if tmp_path:
try:
Path(tmp_path).unlink(missing_ok=True)
except Exception:
pass
def generate_smart_cover(video_url: str, *, job_id: str = "", max_frames: int = 5) -> str:
"""一站式:MediaKit 智能抽帧选最佳 → 转存 OSS,返回封面公网 URL.
供独立封面接口与渲染管线复用。失败返回空字符串。
"""
best_frame = select_best_cover_frame(video_url, max_frames=max_frames)
if not best_frame:
return ""
return persist_cover_to_oss(best_frame, job_id=job_id)
@@ -0,0 +1,426 @@
"""AI数字人渲染合成 Service — #1798.
职责:
- 创建/查询/取消渲染任务
- 调用 Celery 异步任务执行渲染
- B-roll 合成 + 标题叠加 + 封面提取
- 用户隔离
"""
from __future__ import annotations
import logging
import os
import tempfile
import uuid
from datetime import datetime, timezone
from typing import Any, Optional
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.models import (
AiAvatarRenderJob,
LipsyncJobModel,
ScriptModel,
)
from packages.domain.video_filter_builder import (
build_cover_extract_command,
build_title_drawtext_filter,
)
from packages.shared.storage import get_shared_storage_service
logger = logging.getLogger(__name__)
class AiAvatarRenderError(Exception):
"""渲染服务异常."""
def __init__(self, message: str, code: str = "RenderError"):
self.code = code
super().__init__(message)
class AiAvatarRenderService:
"""AI数字人渲染合成 Service."""
def __init__(self, db: Session):
self.db = db
# ── 创建任务 ──────────────────────────────────────────────────────────
def create_render_job(
self,
*,
user_id: str,
lipsync_job_id: str,
script_id: str = "",
b_roll_segments: list[dict[str, Any]] | None = None,
title_config: dict[str, Any],
cover_config: dict[str, Any],
project_id: str = "",
) -> AiAvatarRenderJob:
"""创建渲染任务.
Raises:
AiAvatarRenderError: 校验失败
"""
# 1. 验证对口型任务
lipsync_job = (
self.db.query(LipsyncJobModel)
.filter(
LipsyncJobModel.id == lipsync_job_id,
LipsyncJobModel.user_id == user_id,
)
.first()
)
if lipsync_job is None:
raise AiAvatarRenderError("对口型任务不存在", code="LipsyncJobNotFound")
if lipsync_job.status != "completed":
raise AiAvatarRenderError(
f"对口型任务状态为 {lipsync_job.status},仅 completed 状态可渲染",
code="LipsyncJobNotCompleted",
)
if not lipsync_job.output_video_url:
raise AiAvatarRenderError("对口型任务输出视频 URL 为空", code="LipsyncJobNoOutput")
# 2. 验证文案归属(仅当选了文案库条目时;手动输入文案直生场景 script_id 可空)
script_id = (script_id or "").strip()
if script_id:
script = (
self.db.query(ScriptModel)
.filter(
ScriptModel.id == script_id,
ScriptModel.user_id == user_id,
)
.first()
)
if script is None:
raise AiAvatarRenderError("文案不存在或无权访问", code="ScriptNotFound")
# 3. 创建渲染任务
job_id = str(uuid.uuid4())
job = AiAvatarRenderJob(
id=job_id,
user_id=user_id,
project_id=project_id,
lipsync_job_id=lipsync_job_id,
script_id=script_id,
b_roll_segments=[s if isinstance(s, dict) else s.model_dump() for s in (b_roll_segments or [])],
title_config=title_config,
cover_config=cover_config,
status="pending",
)
self.db.add(job)
self.db.flush()
job.submitted_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job
# ── 查询任务 ──────────────────────────────────────────────────────────
def get_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
"""获取渲染任务详情(用户隔离)."""
return (
self.db.query(AiAvatarRenderJob)
.filter(
AiAvatarRenderJob.id == job_id,
AiAvatarRenderJob.user_id == user_id,
)
.first()
)
def list_render_jobs(
self,
*,
user_id: str,
project_id: str = "",
status: str = "",
offset: int = 0,
limit: int = 20,
) -> tuple[list[AiAvatarRenderJob], int]:
"""获取渲染任务列表(分页 + 用户隔离)."""
query = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.user_id == user_id)
if project_id:
query = query.filter(AiAvatarRenderJob.project_id == project_id)
if status:
query = query.filter(AiAvatarRenderJob.status == status)
total = query.count()
items = query.order_by(AiAvatarRenderJob.created_at.desc()).offset(offset).limit(limit).all()
return items, total
# ── 取消任务 ──────────────────────────────────────────────────────────
def cancel_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
"""取消渲染任务(仅 pending 状态可取消)."""
job = self.get_render_job(job_id, user_id)
if job is None:
return None
if job.status in ("pending", "submitted"):
job.status = "cancelled"
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job
# ── 重试任务 ──────────────────────────────────────────────────────────
def retry_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
"""重试失败的渲染任务."""
job = self.get_render_job(job_id, user_id)
if job is None:
return None
if job.status != "failed":
return None
job.status = "pending"
job.progress = 0
job.error_message = ""
job.output_video_url = ""
job.output_cover_url = ""
job.output_duration = 0.0
job.started_at = None
job.completed_at = None
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job
# ── 执行渲染(Celery 异步调用) ──────────────────────────────────────
def execute_render(self, job_id: str) -> None:
"""执行渲染管线.
由 Celery 异步任务调用,流程:
1. 下载对口型输出视频 (20%)
2. 构建 FFmpeg 滤镜链 (40%)
3. 执行 FFmpeg 渲染 (80%)
4. 提取封面 (90%)
5. 上传到 OSS (95%)
6. 更新任务状态 (100%)
"""
job = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.id == job_id).first()
if job is None:
logger.error("渲染任务不存在: %s", job_id)
return
if job.status == "cancelled":
logger.info("渲染任务已取消: %s", job_id)
return
try:
# 更新状态为 processing
job.status = "processing"
job.started_at = datetime.now(timezone.utc)
job.progress = 5
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
# 获取对口型任务信息
lipsync_job = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job.lipsync_job_id).first()
if lipsync_job is None:
raise AiAvatarRenderError("关联的对口型任务不存在", code="LipsyncJobNotFound")
# 1. 下载对口型输出视频 (20%)
input_video_path = self._download_video(lipsync_job.output_video_url)
job.progress = 20
self.db.commit()
# 2. 构建 FFmpeg 滤镜链 (40%)
from packages.domain.video_filter_builder import build_broll_overlay_filter
filter_complex = build_broll_overlay_filter(
b_roll_segments=job.b_roll_segments,
video_duration=lipsync_job.output_duration,
)
# 标题叠加
title_filter = build_title_drawtext_filter(job.title_config)
if title_filter:
if filter_complex:
filter_complex += f"[vout]{title_filter}[vout_titled];"
else:
filter_complex = f"[0:v]{title_filter}[vout_titled];"
# 清理末尾分号
if filter_complex.endswith(";"):
filter_complex = filter_complex[:-1]
# 最终输出标签
final_label = "vout_titled" if title_filter else ("vout" if filter_complex else None)
job.progress = 40
self.db.commit()
# 3. 执行 FFmpeg 渲染 (80%)
with tempfile.TemporaryDirectory() as tmpdir:
output_video_path = os.path.join(tmpdir, "output.mp4")
cmd = self._build_ffmpeg_command(
input_video=input_video_path,
b_roll_segments=job.b_roll_segments,
filter_complex=filter_complex,
final_label=final_label,
output_path=output_video_path,
)
exit_code = os.system(cmd)
if exit_code != 0:
raise AiAvatarRenderError(f"FFmpeg 渲染失败,退出码: {exit_code}", code="FFmpegFailed")
job.progress = 80
self.db.commit()
# 4. 提取封面 (90%)
cover_path = ""
if job.cover_config:
cover_path = os.path.join(tmpdir, "cover.jpg")
cover_cmd = build_cover_extract_command(job.cover_config, cover_path)
cover_cmd = cover_cmd.replace("INPUT_VIDEO", output_video_path)
cover_exit = os.system(cover_cmd)
if cover_exit != 0:
logger.warning("封面提取失败,跳过: %s", cover_cmd)
cover_path = ""
job.progress = 90
self.db.commit()
# 5. 上传到 OSS (95%)
output_video_url = self._upload_to_oss(output_video_path, f"ai-avatar/{job_id}/output.mp4")
job.output_video_url = output_video_url
# 封面:优先复用智能剪辑的 MediaKit 抽帧 + 质量评分选最佳帧;
# MediaKit 不可用时回退到 FFmpeg 已按 cover_config 抽取的 cover_path
smart_cover_url = ""
if output_video_url:
try:
from app.services.ai_avatar_cover_service import (
generate_smart_cover,
)
smart_cover_url = generate_smart_cover(output_video_url, job_id=job_id, max_frames=5)
except Exception:
logger.warning("智能封面(MediaKit)失败,回退 FFmpeg 封面 job_id=%s", job_id, exc_info=True)
if smart_cover_url:
job.output_cover_url = smart_cover_url
elif cover_path:
output_cover_url = self._upload_to_oss(cover_path, f"ai-avatar/{job_id}/cover.jpg")
job.output_cover_url = output_cover_url
# 获取输出视频时长
job.output_duration = lipsync_job.output_duration
job.progress = 95
self.db.commit()
# 6. 完成
job.status = "completed"
job.progress = 100
job.completed_at = datetime.now(timezone.utc)
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
logger.info("渲染任务完成: %s", job_id)
# 7. 自动保存成片记录到成片库
if job.output_video_url:
try:
from packages.adapters.sqlalchemy_impl.generated_video_repository import (
SQLAlchemyGeneratedVideoRepository,
)
from packages.domain.generated_video import GeneratedVideo
clip_name = f"AI数字人_{job_id[:8]}"
clip = GeneratedVideo.create(
project_id=job.project_id,
generation_task_id=job.lipsync_job_id,
name=clip_name,
file_url=job.output_video_url,
user_id=job.user_id,
duration=job.output_duration or 0.0,
thumbnail_url=job.output_cover_url or None,
generation_params={
"source": "ai_avatar_render",
"render_job_id": job.id,
},
)
video_repo = SQLAlchemyGeneratedVideoRepository(self.db)
video_repo.create(clip)
logger.info("成片记录已保存到成片库: clip_id=%s, render_job=%s", clip.id, job_id)
except Exception as clip_err:
logger.warning(
"自动保存成片记录失败(不影响渲染任务状态): render_job=%s, error=%s",
job_id,
clip_err,
)
except AiAvatarRenderError as exc:
job.status = "failed"
job.error_message = str(exc)
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
logger.error("渲染任务失败 [%s]: %s", job_id, exc)
except Exception as exc:
job.status = "failed"
job.error_message = f"渲染异常: {str(exc)}"
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
logger.exception("渲染任务异常 [%s]", job_id)
def _download_video(self, url: str) -> str:
"""下载视频到临时文件."""
import httpx
tmp = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False)
try:
with httpx.Client(timeout=120) as client:
resp = client.get(url)
resp.raise_for_status()
tmp.write(resp.content)
return tmp.name
except Exception:
if os.path.exists(tmp.name):
os.unlink(tmp.name)
raise
def _build_ffmpeg_command(
self,
*,
input_video: str,
b_roll_segments: list[dict[str, Any]],
filter_complex: str,
final_label: Optional[str],
output_path: str,
) -> str:
"""构建 FFmpeg 命令."""
# 输入文件
inputs = f"-i {input_video}"
for seg in b_roll_segments:
asset_url = seg.get("asset_url", "")
if asset_url:
inputs += f" -i {asset_url}"
# 滤镜
if filter_complex and final_label:
filter_arg = f'-filter_complex "{filter_complex}" -map "[{final_label}]"'
elif filter_complex:
filter_arg = f'-filter_complex "{filter_complex}"'
else:
filter_arg = ""
return f"ffmpeg {inputs} {filter_arg} -c:v libx264 -preset veryfast -crf 23 -y {output_path}"
def _upload_to_oss(self, local_path: str, oss_key: str) -> str:
"""上传文件到 OSS,返回 URL.
使用 SharedStorageService 统一存储服务。
"""
storage = get_shared_storage_service()
url = storage.upload_file_smart(local_path, oss_key)
if url is None:
raise AiAvatarRenderError(
f"上传文件到 OSS 失败: {oss_key}",
code="OSSUploadFailed",
)
logger.info("上传文件到 OSS 成功: %s -> %s", local_path, url)
return url
+68 -9
View File
@@ -784,19 +784,27 @@ class EditPlanService:
from packages.domain.voice_duration_planner import plan_clip_durations, total_output_duration
# #1764:从 plan config 读取节奏模板
rhythm_template = None
if plan and hasattr(plan, "config") and plan.config:
rhythm_template = plan.config.get("rhythm_template")
# #1768:先获取素材时长,传入 plan_clip_durations 用于最大片段钳制
asset_ids = [c.asset_id for c in clips if c.asset_id]
durations = self.get_asset_durations(asset_ids)
asset_durations_for_plan = [durations.get(c.asset_id, 0.0) for c in clips]
target = plan_clip_durations(
len(clips),
voice,
transition_effects=[c.transition_effect for c in clips],
transition_durations=[float(c.transition_duration or 0.0) for c in clips],
rhythm_template=rhythm_template,
asset_durations=asset_durations_for_plan,
)
if not target:
return None
# 素材时长(短素材起点钳 0
asset_ids = [c.asset_id for c in clips if c.asset_id]
durations = self.get_asset_durations(asset_ids)
clips_data: list[dict] = []
for i, c in enumerate(clips):
dur = float(target[i])
@@ -907,6 +915,36 @@ class EditPlanService:
)
plan_ids.append(variant.id)
# #1764:为每个变体生成独立节奏模板(让批量视频片段时长分布不同)
from packages.domain.voice_duration_planner import RHYTHM_TEMPLATES, adapt_template_length
clip_count = 0
if voice_durations and len(voice_durations) > 0:
# 从源 plan 获取片段数
source_plan = self.get_plan(source_plan_id)
if source_plan and hasattr(source_plan, "clips"):
clip_count = len(list(source_plan.clips)) if source_plan.clips else 0
rhythm_templates_for_variants = []
if clip_count > 0:
for idx in range(len(plan_ids)):
# 每个变体用不同的 seed 选择节奏模板
variant_seed = rng.randint(0, 999999)
template = adapt_template_length(RHYTHM_TEMPLATES[variant_seed % len(RHYTHM_TEMPLATES)], clip_count)
rhythm_templates_for_variants.append(template)
logger.info("变体 %d 节奏模板: plan=%s template=%s", idx, plan_ids[idx], template)
# #1767:BGM 池差异化分配(让批量变体使用不同 BGM / 段落 / 音量)
from packages.domain.bgm_pool import allocate_bgm_pool_for_variants
source_bgm_config = {}
source_plan = self.get_plan(source_plan_id)
if source_plan and source_plan.config:
source_bgm_config = source_plan.config.get("bgm", {}) or {}
variant_seeds_for_bgm = [rng.randint(0, 999999) for _ in plan_ids]
bgm_pool_assignments = allocate_bgm_pool_for_variants(source_bgm_config, variant_seeds_for_bgm)
# 为每个变体生成独立视觉扰动参数(让批量视频画面本身更不同)
from packages.domain.variant_plan_selector import generate_visual_perturbation
@@ -916,8 +954,29 @@ class EditPlanService:
# 变体 0 不做 hflip(保持预览 plan 原始画面方向)
if idx == 0:
perturbation["hflip"] = False
self.update_plan_config(pid, {"visual_perturbation": perturbation})
logger.info("变体 %d 视觉扰动: plan=%s perturbation=%s", idx, pid, perturbation)
config_update = {"visual_perturbation": perturbation}
# #1764:写入节奏模板
if idx < len(rhythm_templates_for_variants):
config_update["rhythm_template"] = rhythm_templates_for_variants[idx]
# #1765:写入像素级扰动滤镜
from packages.domain.variant_plan_selector import generate_pixel_perturbation
pixel_pert = generate_pixel_perturbation(rng)
config_update["pixel_perturbation"] = pixel_pert
# #1767:写入 BGM 池分配(覆盖 bgm 配置中的 preset_id / audio_offset / volume_adjust_db
if idx < len(bgm_pool_assignments):
existing_bgm = dict((source_plan.config or {}).get("bgm", {}) or {})
existing_bgm.update(bgm_pool_assignments[idx])
config_update["bgm"] = existing_bgm
self.update_plan_config(pid, config_update)
logger.info(
"变体 %d 视觉扰动+像素扰动+BGM池: plan=%s vis=%s pix=%s bgm=%s",
idx,
pid,
perturbation,
pixel_pert,
bgm_pool_assignments[idx] if idx < len(bgm_pool_assignments) else None,
)
except Exception:
logger.exception("变体 %d 视觉扰动生成失败(不阻断): plan=%s", idx, pid)
@@ -1153,7 +1212,7 @@ class EditPlanService:
config_asset_ids_count = len((plan.config or {}).get("asset_ids", []))
clips_with_asset_count = sum(1 for c in clips if c.asset_id)
logger.info(
"can_generate 诊断: plan=%s status=%s total_clips=%d " "clips_with_asset=%d config_asset_ids_count=%d",
"can_generate 诊断: plan=%s status=%s total_clips=%d clips_with_asset=%d config_asset_ids_count=%d",
plan_id,
plan.status,
len(clips),
@@ -1165,7 +1224,7 @@ class EditPlanService:
config_asset_ids = (plan.config or {}).get("asset_ids", [])
if config_asset_ids:
logger.warning(
"can_generate 最后防线触发: plan=%s clips=%d 均无素材," "从 config.asset_ids(%d个) 自动分配",
"can_generate 最后防线触发: plan=%s clips=%d 均无素材,从 config.asset_ids(%d个) 自动分配",
plan_id,
len(clips),
len(config_asset_ids),
@@ -1197,7 +1256,7 @@ class EditPlanService:
return False, "没有可渲染的就绪片段,自动修复后仍未分配素材"
else:
logger.warning(
"can_generate 失败: plan=%s clips=%d 均无素材," "且 config.asset_ids 为空,无法自动修复",
"can_generate 失败: plan=%s clips=%d 均无素材,且 config.asset_ids 为空,无法自动修复",
plan_id,
len(clips),
)
+65 -1
View File
@@ -34,6 +34,17 @@ from packages.domain.template_clip_converter import (
logger = logging.getLogger(__name__)
class TemplateNotFoundError(Exception):
"""模板不存在、已删除或当前用户无权访问.
"模板存在但无片段配置"区分:路由层应映射为 HTTP 404。
"""
def __init__(self, template_id: str) -> None:
self.template_id = template_id
super().__init__(f"模板不存在: {template_id}")
class EditTemplateService:
"""模板管理服务
@@ -217,7 +228,14 @@ class EditTemplateService:
skip: int = 0,
limit: int = 100,
) -> List[TemplateClipConfig]:
"""列出模板的片段配置"""
"""列出模板的片段配置
注意:本方法要求模板存在于新表 ``edit_templates``(全局模板库),
主要服务于新模板系统的写入/发布路径。用户自建模板存放在旧表
``templates``,不在 ``edit_templates`` 中,读取其片段配置请改用
:meth:`list_clip_configs_for_editor`,后者直接读取片段配置主表
``template_clip_configs``,不依赖新模板主表、也不靠异常降级。
"""
# 确保模板存在
self.get_template_or_raise(template_id)
return self._clip_config_repo.list_by_template(
@@ -227,6 +245,52 @@ class EditTemplateService:
limit=limit,
)
def list_clip_configs_for_editor(
self,
template_id: str,
user_id: str,
*,
clip_type: Optional[ClipType] = None,
skip: int = 0,
limit: int = 100,
) -> List[TemplateClipConfig]:
"""编辑器读取模板片段配置的单一数据源入口.
片段配置主表是 ``template_clip_configs``(直接读取,不抛异常、不降级)。
模板主表按双表现状显式判定,不使用 try/except 控制流:
1. 用户自建模板在旧表 ``templates``(归属 user_id)→ 校验归属与未删除后直接读;
2. 全局模板在新表 ``edit_templates``(无 user_id,全局可读)→ 直接读;
3. 两者都没有 → 模板不存在/无权限,抛 :class:`TemplateNotFoundError`。
Args:
template_id: 模板 ID
user_id: 当前登录用户 ID(用于旧表模板归属校验)
Raises:
TemplateNotFoundError: 模板不存在、已删除或不归属于当前用户。
"""
# 1) 用户自建模板(旧表 templates,归属 user_id
if self._clip_config_repo.template_owned_by(template_id, user_id):
return self._clip_config_repo.list_by_template(
template_id,
clip_type=clip_type,
skip=skip,
limit=limit,
)
# 2) 全局模板(新表 edit_templates,无 user_id,全局可读)
if self._template_repo.get(template_id) is not None:
return self._clip_config_repo.list_by_template(
template_id,
clip_type=clip_type,
skip=skip,
limit=limit,
)
# 3) 两表都没有:不存在 / 已删除 / 无权限
raise TemplateNotFoundError(template_id)
def get_clip_config(self, config_id: str) -> Optional[TemplateClipConfig]:
"""获取片段配置详情"""
return self._clip_config_repo.get(config_id)
+392
View File
@@ -0,0 +1,392 @@
"""对口型 Service — #1796 MediaKit 对口型业务逻辑, #1809 参数调整.
职责:
- 创建/查询对口型任务
- 双输入模式:TTS 直生(voice_id + script_text,内部先合成音频转存 OSS)或直接音频(audio_url
- 调用 MediaKit 客户端提交异步任务
- 轮询更新任务状态(中间状态同步 DB,成片转存自家 OSS)
- 用户隔离(每个用户只能操作自己的任务)
"""
from __future__ import annotations
import io
import logging
import uuid
from datetime import datetime, timezone
from typing import Optional
from urllib.parse import urlparse
from app.services.mediakit_client import (
STATUS_COMPLETED,
STATUS_FAILED,
STATUS_RUNNING,
MediaKitClient,
MediaKitError,
get_mediakit_client,
)
# Celery 异步任务:TTS 合成 + MediaKit 提交(#lipsync-speed-optimization
from app.tasks.lipsync_tts import tts_synthesize_and_submit
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
from packages.application.cosyvoice_service import CosyVoiceError, normalize_emotion
from packages.shared.storage import get_shared_storage_service
from packages.shared.url_security import ALLOWED_AUDIO_MIME_TYPES, safe_download_bytes
logger = logging.getLogger(__name__)
# 传给 MediaKit GPU worker / 回给前端播放的 OSS 预签名有效期:7 天。
# MediaKit 排队 + 拉取可能延迟,私有桶裸 URL 或 1 小时短预签名都会 403,故统一重签长有效期。
MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
class LipsyncService:
"""对口型任务 Service."""
def __init__(
self,
db: Session,
client: Optional[MediaKitClient] = None,
cosyvoice_service=None,
voice_clone_repo=None,
):
self.db = db
self.client = client or get_mediakit_client()
self._cosyvoice = cosyvoice_service
self._voice_clone_repo = voice_clone_repo
def _get_cosyvoice(self):
"""延迟获取 CosyVoiceService(与 tts 路由一致,含 OSS 预签名配置)."""
if self._cosyvoice is None:
from app.dependencies import get_cosyvoice_service
self._cosyvoice = get_cosyvoice_service()
return self._cosyvoice
def _resolve_voice_id(self, voice_id: str, user_id: str) -> str:
"""将克隆音色 profile UUID 解析为 CosyVoice voice_id。
与 /tts/synthesize 保持一致:命中 profile → 校验归属 → 返回其 voice_id;
未命中(预置音色 ID 或克隆 CosyVoice voice_id)原样返回。
"""
if not voice_id:
return ""
if self._voice_clone_repo is None:
try:
from app.dependencies import get_voice_clone_profile_repository
self._voice_clone_repo = get_voice_clone_profile_repository(self.db)
except Exception:
return voice_id
try:
profile = self._voice_clone_repo.get(voice_id)
except Exception:
return voice_id
if profile is None:
return voice_id
if getattr(profile, "user_id", "") != user_id:
raise MediaKitError("无权访问该音色", code="VoiceForbidden")
if not getattr(profile, "voice_id", ""):
raise MediaKitError("音色克隆尚未完成,请稍后再试", code="VoiceNotReady")
return profile.voice_id
def _synthesize_and_persist_audio(
self,
*,
user_id: str,
job_id: str,
voice_id: str,
script_text: str,
speed: float,
emotion: str,
) -> str:
"""TTS 直生:调 CosyVoice 合成音频并转存 OSS,返回可公网访问的音频 URL.
Raises:
MediaKitError: 合成失败
"""
actual_voice_id = self._resolve_voice_id(voice_id, user_id)
cosyvoice = self._get_cosyvoice()
try:
result = cosyvoice.submit_synthesize_task(
text=script_text,
voice_id=actual_voice_id,
speed=speed,
emotion=normalize_emotion(emotion),
)
except CosyVoiceError as exc:
raise MediaKitError(f"TTS 合成失败: {exc}", code="TTSSynthesisFailed") from exc
except ValueError as exc:
raise MediaKitError(f"TTS 参数错误: {exc}", code="TTSInvalidParam") from exc
temp_url = result.get("audio_url", "")
if not temp_url:
raise MediaKitError("TTS 未返回音频 URL", code="TTSNoAudio")
# 转存到自家 OSS,避免临时 URL 过期导致 MediaKit 拉取失败
try:
audio_data = safe_download_bytes(
temp_url,
purpose="lipsync_tts_audio",
allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
timeout=60.0,
)
storage = get_shared_storage_service()
storage_key = f"lipsync-tts/{user_id}/{job_id}.mp3"
permanent_url = storage.upload_file(io.BytesIO(audio_data), storage_key, content_type="audio/mpeg")
logger.info("对口型 TTS 音频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
return permanent_url
except Exception as exc:
logger.warning("TTS 音频转存 OSS 失败,回退临时 URL: job_id=%s err=%s", job_id, exc)
return temp_url
# ── 创建任务 ──────────────────────────────────────────────────────────
def create_job(
self,
*,
user_id: str,
video_url: str,
audio_url: str = "",
voice_id: str = "",
script_text: str = "",
speed: float = 1.0,
emotion: str = "",
enable_video_loop: bool = False,
project_id: str = "",
) -> LipsyncJobModel:
"""创建对口型任务.
两种输入模式:
- TTS 直生:voice_id + script_textaudio_url 留空)
→ 先创建 DB 记录(状态 tts_processing),再 dispatch Celery 异步任务
执行 TTS 合成 + MediaKit 提交。API 响应 <1s。
- 直接音频:提供 audio_url
→ 同步提交 MediaKit,状态直接设为 submitted。
Raises:
MediaKitError: 参数校验失败或 MediaKit 提交失败(仅直接音频模式)
"""
# 0. 输入校验
if not audio_url:
if not (voice_id and script_text):
raise MediaKitError(
"必须提供 audio_url 或 voice_id+script_text",
code="InvalidInput",
)
# TTS 模式:在 HTTP 请求中同步校验音色归属,快速失败
self._resolve_voice_id(voice_id, user_id)
# 1. 创建数据库记录
job_id = str(uuid.uuid4())
is_tts_mode = not bool(audio_url)
job = LipsyncJobModel(
id=job_id,
user_id=user_id,
project_id=project_id,
video_url=video_url,
audio_url=audio_url,
enable_video_loop=enable_video_loop,
voice_id=voice_id or "",
script_text=script_text or "",
speed=speed,
emotion=normalize_emotion(emotion),
status="tts_processing" if is_tts_mode else "pending",
)
self.db.add(job)
self.db.flush()
if is_tts_mode:
# 2a. TTS 模式:dispatch Celery 异步任务处理 TTS 合成 + MediaKit 提交
try:
tts_synthesize_and_submit.apply_async(
args=(
job_id,
user_id,
voice_id,
script_text,
speed,
normalize_emotion(emotion),
)
)
except Exception:
logger.warning(
"Celery 任务提交失败,TTS 任务已创建但未触发执行: %s",
job_id,
exc_info=True,
)
else:
# 2b. 直接音频模式:同步签名并提交 MediaKit
video_url = self._sign_media_url(video_url)
if audio_url:
audio_url = self._sign_media_url(audio_url)
job.audio_url = audio_url
try:
result = self.client.submit_lipsync(
video_url=video_url,
audio_url=audio_url,
enable_video_loop=enable_video_loop,
client_token=job_id,
)
job.mediakit_task_id = result["task_id"]
job.status = "submitted"
job.submitted_at = datetime.now(timezone.utc)
except MediaKitError as exc:
job.status = "failed"
job.error_message = str(exc)
job.error_code = exc.code
logger.error("提交对口型任务失败: %s", exc)
raise
self.db.commit()
self.db.refresh(job)
return job
# ── 查询任务 ──────────────────────────────────────────────────────────
def get_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
"""获取任务详情(用户隔离)."""
return (
self.db.query(LipsyncJobModel)
.filter(LipsyncJobModel.id == job_id, LipsyncJobModel.user_id == user_id)
.first()
)
def list_jobs(
self,
*,
user_id: str,
project_id: str = "",
status: str = "",
offset: int = 0,
limit: int = 20,
) -> tuple[list[LipsyncJobModel], int]:
"""获取任务列表(分页 + 用户隔离)."""
query = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.user_id == user_id)
if project_id:
query = query.filter(LipsyncJobModel.project_id == project_id)
if status:
query = query.filter(LipsyncJobModel.status == status)
total = query.count()
items = query.order_by(LipsyncJobModel.created_at.desc()).offset(offset).limit(limit).all()
return items, total
# ── 更新任务状态(轮询) ──────────────────────────────────────────────
def refresh_job_status(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
"""从 MediaKit 拉取最新状态并更新本地记录.
Returns:
更新后的 Job,或 None(任务不存在/不属于该用户)
"""
job = self.get_job(job_id, user_id)
if job is None:
return None
# 终态不需要再轮询
if job.status in (STATUS_COMPLETED, "failed"):
return job
# 未提交的任务不轮询
if not job.mediakit_task_id:
return job
try:
status_data = self.client.get_task_status(job.mediakit_task_id)
except MediaKitError as exc:
logger.error("轮询对口型任务状态失败 [%s]: %s", job_id, exc)
return job
mk_status = status_data.get("status", STATUS_RUNNING)
logger.info("MediaKit 对口型状态 [%s]: %s", job_id, mk_status)
if mk_status == STATUS_COMPLETED:
result = status_data.get("result", {})
job.status = STATUS_COMPLETED
output_url = result.get("video_url", "")
# MediaKit 输出为临时 URL,转存自家 OSS 防止过期(失败则回退临时 URL)
job.output_video_url = self._persist_output_video(output_url, job_id, user_id)
job.output_duration = result.get("duration", 0.0)
job.completed_at = datetime.now(timezone.utc)
elif mk_status == STATUS_FAILED:
error = status_data.get("error", {})
job.status = "failed"
job.error_message = error.get("message", "任务执行失败")
job.error_code = error.get("code", "TaskFailed")
job.completed_at = datetime.now(timezone.utc)
else:
# 中间状态(running/processing/queued 等)同步到 DB,避免前端永远卡在 submitted
if isinstance(mk_status, str) and mk_status:
job.status = mk_status
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job
def _persist_output_video(self, temp_url: str, job_id: str, user_id: str) -> str:
"""将 MediaKit 输出的临时视频 URL 转存到自家 OSS.
失败时回退返回原始临时 URL,不影响任务完成。
"""
if not temp_url:
return ""
try:
import httpx
with httpx.Client(timeout=180.0, follow_redirects=True) as client:
resp = client.get(temp_url)
resp.raise_for_status()
data = resp.content
storage = get_shared_storage_service()
storage_key = f"lipsync-outputs/{user_id}/{job_id}.mp4"
permanent_url = storage.upload_file(io.BytesIO(data), storage_key, content_type="video/mp4")
logger.info("对口型输出视频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
return self._sign_media_url(permanent_url) or temp_url
except Exception as exc:
logger.warning("对口型输出视频转存 OSS 失败,回退临时 URL: job_id=%s err=%s", job_id, exc)
return temp_url
def _sign_media_url(self, url: str) -> str:
"""对自家 OSS 私有桶 URL 重签长有效期预签名,供 MediaKit 拉取 / 前端播放。
- 裸 public_urlupload_file 返回,不带签名)→ 私有桶匿名访问 403,重签。
- 已带签名但即将过期的 URL(如前端 1h 预签名)→ 抽 storage_key 后重签。
- 外部 URLCosyVoice/MediaKit 临时链接,非本桶 host)→ 原样透传。
- 任何异常都降级原样返回,不阻断主流程。
"""
if not url:
return url
try:
storage = get_shared_storage_service()
public_base = getattr(storage, "public_url", "")
if not isinstance(public_base, str) or not public_base:
return url # 无法判定归属,保守透传
own_host = urlparse(public_base).netloc.lower()
host = urlparse(url).netloc.lower()
if not own_host or host != own_host:
return url # 非自家 OSS(外部临时链接),不处理
signed = storage.get_download_url(url, expires_seconds=MEDIAKIT_URL_TTL_SECONDS)
return signed or url
except Exception as exc: # noqa: BLE001 - 签名失败不阻断,降级原 URL
logger.warning("对口型 URL 重签失败,原样返回: url_prefix=%s err=%s", url[:80], exc)
return url
# ── 取消任务 ──────────────────────────────────────────────────────────
def cancel_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
"""取消任务(仅 pending/tts_processing/submitted 状态可取消)."""
job = self.get_job(job_id, user_id)
if job is None:
return None
if job.status in ("pending", "tts_processing", "submitted"):
job.status = "cancelled"
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job
+243
View File
@@ -0,0 +1,243 @@
"""MediaKit 客户端 — 封装火山引擎 AI MediaKit 对口型 API.
接口文档:https://docs.volcengine.com/docs/6448/2656064
异步任务流程:
1. POST /api/v1/tools/lip-sync 提交对口型任务 → 返回 task_id
2. GET /api/v1/tasks/{task_id} 轮询任务状态 → running/completed/failed
3. completed 时 result.video_url 为口型对齐视频(临时链接 24h 有效)
设计原则:
- API Key 从配置读取(settings.mediakit_api_key
- 未配置 API Key 时所有方法返回降级响应,不阻塞主流程
- HTTP 超时/网络异常统一包装为 MediaKitError
"""
from __future__ import annotations
import logging
from typing import Any, Optional
import httpx
from packages.config import get_api_settings
logger = logging.getLogger(__name__)
# ── 任务状态常量 ──────────────────────────────────────────────────────────
STATUS_RUNNING = "running"
STATUS_COMPLETED = "completed"
STATUS_FAILED = "failed"
class MediaKitError(Exception):
"""MediaKit API 调用异常."""
def __init__(self, message: str, code: str = "", request_id: str = ""):
self.code = code
self.request_id = request_id
super().__init__(message)
class MediaKitClient:
"""火山引擎 AI MediaKit 对口型 API 客户端.
用法:
client = get_mediakit_client()
result = client.submit_lipsync(video_url="...", audio_url="...")
task_id = result["task_id"]
status = client.get_task_status(task_id)
# {"status": "completed", "result": {"video_url": "...", "duration": 60.5}}
"""
def __init__(self) -> None:
settings = get_api_settings()
self._api_key = settings.mediakit_api_key
self._base_url = settings.mediakit_base_url.rstrip("/")
self._timeout = settings.mediakit_timeout
@property
def is_available(self) -> bool:
"""是否已配置 API Key(未配置时自动降级)."""
return bool(self._api_key)
def _headers(self) -> dict[str, str]:
return {
"Authorization": f"Bearer {self._api_key}",
"Content-Type": "application/json",
}
# ── 提交对口型任务 ────────────────────────────────────────────────────
def submit_lipsync(
self,
*,
video_url: str,
audio_url: str,
enable_video_loop: bool = False,
callback_url: Optional[str] = None,
callback_args: Optional[str] = None,
client_token: Optional[str] = None,
) -> dict[str, Any]:
"""提交视频口型对齐任务.
Args:
video_url: 人物视频 URLMP4,≤30min,单人真人)
audio_url: 驱动音频 URLmp3/aac/wav/m4a/flac
enable_video_loop: 音频长于视频时是否循环画面
callback_url: 任务完成回调 URL
callback_args: 回调时原样返回的自定义参数
client_token: 幂等控制 token
Returns:
{"success": True, "task_id": "...", "request_id": "..."}
Raises:
MediaKitError: API 调用失败
"""
if not self.is_available:
raise MediaKitError("MediaKit API Key 未配置", code="NotConfigured")
payload: dict[str, Any] = {
"video_url": video_url,
"audio_url": audio_url,
}
if enable_video_loop:
payload["enable_video_loop"] = True
if callback_url:
payload["callback_url"] = callback_url
if callback_args:
payload["callback_args"] = callback_args[:512] # API 限制 512 字节
if client_token:
payload["client_token"] = client_token[:64] # API 限制 64 字符
try:
with httpx.Client(timeout=self._timeout) as client:
resp = client.post(
f"{self._base_url}/tools/lip-sync",
headers=self._headers(),
json=payload,
)
resp.raise_for_status()
data = resp.json()
except httpx.TimeoutException as exc:
raise MediaKitError(f"MediaKit API 超时 ({self._timeout}s)", code="Timeout") from exc
except httpx.HTTPStatusError as exc:
body = exc.response.text[:500]
raise MediaKitError(
f"MediaKit API HTTP {exc.response.status_code}: {body}",
code="HttpError",
) from exc
except httpx.RequestError as exc:
raise MediaKitError(f"MediaKit API 网络错误: {exc}", code="NetworkError") from exc
except Exception as exc:
raise MediaKitError(f"MediaKit API 未知错误: {exc}", code="UnknownError") from exc
if not data.get("success"):
error = data.get("error", {})
raise MediaKitError(
error.get("message", "提交任务失败"),
code=error.get("code", "SubmitFailed"),
request_id=data.get("request_id", ""),
)
return {
"success": True,
"task_id": data["task_id"],
"request_id": data.get("request_id", ""),
}
# ── 查询任务状态 ──────────────────────────────────────────────────────
def get_task_status(self, task_id: str) -> dict[str, Any]:
"""查询异步任务状态和结果.
Args:
task_id: 提交任务时返回的任务 ID
Returns:
{
"success": True,
"task_id": "...",
"status": "running" | "completed" | "failed",
"result": {"video_url": "...", "duration": 60.5} | None,
"error": {"code": "...", "message": "..."} | None,
"created_at": 1777291767,
"finished_at": 1777291851 | None,
"expires_at": 1777464650 | None,
}
Raises:
MediaKitError: API 调用失败
"""
if not self.is_available:
raise MediaKitError("MediaKit API Key 未配置", code="NotConfigured")
try:
with httpx.Client(timeout=self._timeout) as client:
resp = client.get(
f"{self._base_url}/tasks/{task_id}",
headers=self._headers(),
)
resp.raise_for_status()
data = resp.json()
except httpx.TimeoutException as exc:
raise MediaKitError(f"MediaKit API 超时 ({self._timeout}s)", code="Timeout") from exc
except httpx.HTTPStatusError as exc:
body = exc.response.text[:500]
raise MediaKitError(
f"MediaKit API HTTP {exc.response.status_code}: {body}",
code="HttpError",
) from exc
except httpx.RequestError as exc:
raise MediaKitError(f"MediaKit API 网络错误: {exc}", code="NetworkError") from exc
except Exception as exc:
raise MediaKitError(f"MediaKit API 未知错误: {exc}", code="UnknownError") from exc
if not data.get("success"):
error = data.get("error", {})
raise MediaKitError(
error.get("message", "查询任务失败"),
code=error.get("code", "QueryFailed"),
request_id=data.get("request_id", ""),
)
result: dict[str, Any] = {
"success": True,
"task_id": data.get("task_id", task_id),
"status": data.get("status", STATUS_RUNNING),
"result": data.get("result"),
"created_at": data.get("created_at"),
"finished_at": data.get("finished_at"),
"expires_at": data.get("expires_at"),
}
# 失败时提取错误信息
if data.get("status") == STATUS_FAILED:
error_obj = data.get("error", {})
result["error"] = {
"code": error_obj.get("code", "TaskFailed"),
"message": error_obj.get("message", "任务执行失败"),
}
return result
# ── 单例 ──────────────────────────────────────────────────────────────────
_client: Optional[MediaKitClient] = None
def get_mediakit_client() -> MediaKitClient:
"""获取 MediaKit 客户端单例."""
global _client
if _client is None:
_client = MediaKitClient()
return _client
def reset_mediakit_client() -> None:
"""重置客户端(测试用)."""
global _client
_client = None
+109
View File
@@ -0,0 +1,109 @@
"""ScriptService — Issue #1795 口播文案库 CRUD.
纯 Service 层封装,routes 直接调用。
"""
from __future__ import annotations
import uuid
from datetime import datetime, timezone
from typing import Optional
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.models import ScriptModel
class ScriptNotFoundError(Exception):
"""文案不存在或不属于当前用户."""
class ScriptService:
"""口播文案 CRUD."""
def __init__(self, db: Session) -> None:
self.db = db
# ── list ──────────────────────────────────────────────────────────────
def list_scripts(
self,
user_id: str,
skip: int = 0,
limit: int = 50,
tag: Optional[str] = None,
) -> tuple[list[ScriptModel], int]:
"""返回 (items, total)."""
q = self.db.query(ScriptModel).filter(ScriptModel.user_id == user_id)
if tag:
# JSON 数组包含查询
q = q.filter(ScriptModel.tags.contains([tag]))
total = q.count()
items = q.order_by(ScriptModel.created_at.desc()).offset(skip).limit(limit).all()
return items, total
# ── create ────────────────────────────────────────────────────────────
def create_script(
self,
user_id: str,
title: str,
content: str = "",
segments: list | None = None,
tags: list | None = None,
) -> ScriptModel:
script = ScriptModel(
id=str(uuid.uuid4()),
user_id=user_id,
title=title,
content=content,
segments=segments if segments is not None else [],
tags=tags if tags is not None else [],
)
self.db.add(script)
self.db.commit()
self.db.refresh(script)
return script
# ── get ───────────────────────────────────────────────────────────────
def get_script(self, script_id: str, user_id: str) -> ScriptModel:
script = self.db.query(ScriptModel).filter(ScriptModel.id == script_id, ScriptModel.user_id == user_id).first()
if script is None:
raise ScriptNotFoundError(f"Script {script_id} not found")
return script
# ── update ────────────────────────────────────────────────────────────
def update_script(
self,
script_id: str,
user_id: str,
title: Optional[str] = None,
content: Optional[str] = None,
segments: Optional[list] = None,
tags: Optional[list] = None,
) -> ScriptModel:
script = self.get_script(script_id, user_id)
if title is not None:
script.title = title
if content is not None:
script.content = content
if segments is not None:
script.segments = segments
if tags is not None:
script.tags = tags
script.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(script)
return script
# ── delete ────────────────────────────────────────────────────────────
def delete_script(self, script_id: str, user_id: str) -> bool:
script = self.db.query(ScriptModel).filter(ScriptModel.id == script_id, ScriptModel.user_id == user_id).first()
if script is None:
return False
self.db.delete(script)
self.db.commit()
return True
@@ -39,6 +39,9 @@ from packages.domain.video_filter_builder import (
)
from packages.domain.video_filter_builder import build_concat_filter as _build_concat_filter_func
from packages.domain.video_filter_builder import build_filter_complex as _build_filter_complex
from packages.domain.video_filter_builder import (
build_title_drawtext_filter,
)
from packages.domain.video_filter_builder import build_xfade_filter as _build_xfade_filter_func
from packages.domain.video_filter_builder import chain_filters as _chain_filters_func
from packages.domain.video_filter_builder import has_audio as _has_audio_func
@@ -248,6 +251,27 @@ class VideoComposeService:
transitions=[c.transition_effect for c in ready_clips],
)
# ── #1789 标题 drawtext 滤镜叠加 ──
# 从 plan.config 读取 title_config,生成 drawtext 滤镜链入 filter_complex
title_cfg = (plan.config or {}).get("title", {}) or {}
if not isinstance(title_cfg, dict):
title_cfg = {}
# 同时兼容 plan.config["title_config"]API 回写路径)
if not title_cfg.get("text") and not title_cfg.get("content"):
title_cfg_alt = (plan.config or {}).get("title_config", {}) or {}
if isinstance(title_cfg_alt, dict) and (title_cfg_alt.get("text") or title_cfg_alt.get("content")):
title_cfg = title_cfg_alt
drawtext_filter = build_title_drawtext_filter(title_cfg, output_width, output_height)
if drawtext_filter:
# 将最终输出标签从 [outv] 改为 [composed],再链入 drawtext → [outv]
filter_complex = filter_complex.replace("[outv]", "[composed]")
filter_complex += f";[composed]{drawtext_filter}[outv]"
logger.info(
"[#1789] 标题 drawtext 滤镜已注入: plan_id=%s text=%s",
plan_id,
(title_cfg.get("text") or title_cfg.get("content") or "")[:30],
)
# 构建完整命令
command: list[str] = ["ffmpeg", "-y"]
+1
View File
@@ -0,0 +1 @@
"""Celery 异步任务模块."""
+48
View File
@@ -0,0 +1,48 @@
"""AI数字人渲染 Celery 异步任务 — #1798."""
from __future__ import annotations
import logging
from app.core.celery_app import celery_app
from app.dependencies import get_db_session
logger = logging.getLogger(__name__)
@celery_app.task(bind=True, name="ai_avatar_render.execute", max_retries=2)
def execute_ai_avatar_render(self, job_id: str) -> dict:
"""执行 AI 数字人渲染管线.
进度更新:
- 0%: 任务开始
- 20%: 下载对口型视频完成
- 40%: 滤镜链构建完成
- 80%: FFmpeg 渲染完成
- 95%: 上传 OSS 完成
- 100%: 任务完成
"""
logger.info("开始执行渲染任务: %s", job_id)
self.update_state(state="PROCESSING", meta={"progress": 0, "job_id": job_id})
try:
# 获取数据库 session
db_gen = get_db_session()
db = next(db_gen)
try:
from app.services.ai_avatar_render_service import AiAvatarRenderService
service = AiAvatarRenderService(db)
service.execute_render(job_id)
finally:
try:
next(db_gen)
except StopIteration:
pass
return {"status": "completed", "job_id": job_id}
except Exception as exc:
logger.exception("渲染任务执行异常 [%s]: %s", job_id, exc)
self.update_state(state="FAILED", meta={"progress": 0, "error": str(exc)})
raise
+212
View File
@@ -0,0 +1,212 @@
"""AI 数字人对口型 TTS 异步任务 — 将 TTS 合成从 HTTP 请求移至 Celery 后台执行.
优化目标:将 create_job 的 API 响应时间从 6~35s 降到 <1s。
任务流程:
1. 创建新 DB session,加载 job 记录
2. 调用 CosyVoice 合成音频
3. 下载音频并转存到自家 OSS
4. 更新 job 的 audio_url
5. 签名 URL 并提交到 MediaKit
6. 更新 job 状态为 submitted
7. 异常时标记 job 为 failed
注意:使用 @shared_task 而非绑定到某个 celery_app 实例,
确保任务能被 Worker 侧 celery_app 正确注册,同时 API 侧 send_task/apply_async 仍可正常调用。
"""
import io
import logging
from datetime import datetime, timezone
from urllib.parse import urlparse
from celery import shared_task
logger = logging.getLogger(__name__)
# MediaKit 预签名 URL 有效期(7天,秒),与 LipsyncService._sign_media_url 保持一致
_MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
def _sign_media_url(url: str) -> str:
"""对自家 OSS 私有桶 URL 重签长有效期预签名.
- 自家 OSS URL → 重签 7 天有效期
- 外部临时 URL → 原样透传
- 任何异常降级原样返回,不阻断主流程
"""
if not url:
return url
try:
from packages.shared.storage import get_shared_storage_service
storage = get_shared_storage_service()
public_base = getattr(storage, "public_url", "")
if not isinstance(public_base, str) or not public_base:
return url
own_host = urlparse(public_base).netloc.lower()
host = urlparse(url).netloc.lower()
if not own_host or host != own_host:
return url
signed = storage.get_download_url(url, expires_seconds=_MEDIAKIT_URL_TTL_SECONDS)
return signed or url
except Exception as exc: # noqa: BLE001
logger.warning("[lipsync_tts] URL 重签失败,原样返回: url_prefix=%s err=%s", url[:80], exc)
return url
@shared_task(
bind=True,
name="lipsync_tts.synthesize_and_submit",
max_retries=2,
default_retry_delay=30,
)
def tts_synthesize_and_submit(
self,
job_id: str,
user_id: str,
voice_id: str,
script_text: str,
speed: float,
emotion: str,
):
"""异步执行 TTS 合成 + OSS 转存 + MediaKit 提交.
在 Celery worker 中运行,不阻塞 HTTP 请求。
"""
from app.services.mediakit_client import MediaKitError, get_mediakit_client
from sqlalchemy.orm import Session as DBSession
from packages.adapters.sqlalchemy_impl.database import SessionLocal
from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
from packages.shared.url_security import safe_download_bytes
db: DBSession = SessionLocal()
try:
job = (
db.query(LipsyncJobModel)
.filter(
LipsyncJobModel.id == job_id,
LipsyncJobModel.user_id == user_id,
)
.first()
)
if job is None:
logger.error("[lipsync_tts] Job not found: job_id=%s", job_id)
return
# 已取消的任务不再处理
if job.status == "cancelled":
logger.info("[lipsync_tts] Job already cancelled, skipping: job_id=%s", job_id)
return
# 1. TTS 合成
try:
cosyvoice = CosyVoiceService()
result = cosyvoice.submit_synthesize_task(
text=script_text,
voice_id=voice_id,
speed=speed,
emotion=emotion,
)
except CosyVoiceError as exc:
logger.error("[lipsync_tts] TTS 合成失败: job_id=%s err=%s", job_id, exc)
job.status = "failed"
job.error_message = f"TTS 合成失败: {exc}"
job.error_code = "TTSSynthesisFailed"
job.updated_at = datetime.now(timezone.utc)
db.commit()
return
except ValueError as exc:
logger.error("[lipsync_tts] TTS 参数错误: job_id=%s err=%s", job_id, exc)
job.status = "failed"
job.error_message = f"TTS 参数错误: {exc}"
job.error_code = "TTSInvalidParam"
job.updated_at = datetime.now(timezone.utc)
db.commit()
return
temp_url = result.get("audio_url", "")
if not temp_url:
logger.error("[lipsync_tts] TTS 未返回音频 URL: job_id=%s", job_id)
job.status = "failed"
job.error_message = "TTS 未返回音频 URL"
job.error_code = "TTSNoAudio"
job.updated_at = datetime.now(timezone.utc)
db.commit()
return
# 2. 下载并转存到自家 OSS
try:
audio_data = safe_download_bytes(
temp_url,
purpose="lipsync_tts_audio",
allowed_mime_types=(
"audio/mpeg",
"audio/mp3",
"audio/wav",
"audio/mp4",
"audio/x-m4a",
),
timeout=60.0,
)
from packages.shared.storage import get_shared_storage_service
storage = get_shared_storage_service()
storage_key = f"lipsync-tts/{user_id}/{job_id}.mp3"
permanent_url = storage.upload_file(io.BytesIO(audio_data), storage_key, content_type="audio/mpeg")
logger.info("[lipsync_tts] TTS 音频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
job.audio_url = permanent_url
except Exception as exc:
logger.warning(
"[lipsync_tts] TTS 音频转存 OSS 失败,回退临时 URL: job_id=%s err=%s",
job_id,
exc,
)
job.audio_url = temp_url
db.commit()
# 3. 签名 URL 并提交到 MediaKit(复用模块内 _sign_media_url,避免对 LipsyncService 的耦合)
audio_url = _sign_media_url(job.audio_url)
video_url = _sign_media_url(job.video_url)
client = get_mediakit_client()
try:
mk_result = client.submit_lipsync(
video_url=video_url,
audio_url=audio_url,
enable_video_loop=job.enable_video_loop,
client_token=job_id,
)
job.mediakit_task_id = mk_result["task_id"]
job.status = "submitted"
job.submitted_at = datetime.now(timezone.utc)
logger.info(
"[lipsync_tts] 已提交 MediaKit: job_id=%s task_id=%s",
job_id,
mk_result["task_id"],
)
except MediaKitError as exc:
job.status = "failed"
job.error_message = str(exc)
job.error_code = exc.code
logger.error("[lipsync_tts] 提交 MediaKit 失败: job_id=%s err=%s", job_id, exc)
db.commit()
except Exception:
logger.exception("[lipsync_tts] 未预期的异常: job_id=%s", job_id)
try:
job = db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job_id).first()
if job and job.status not in ("cancelled", "failed", "completed"):
job.status = "failed"
job.error_message = "TTS 异步任务执行异常"
job.error_code = "AsyncTaskError"
job.updated_at = datetime.now(timezone.utc)
db.commit()
except Exception:
logger.exception("[lipsync_tts] 回写失败状态时异常: job_id=%s", job_id)
finally:
db.close()
+16 -4
View File
@@ -5,10 +5,22 @@ import apiClient from "../client"
import { getOrCreateDefaultProject } from "../projects"
import type { AssetLibraryItem } from "./types"
/** 获取当前用户的所有素材库 */
export const getAssetLibraries = async (): Promise<AssetLibraryItem[]> => {
const response = await apiClient.get("/asset-libraries")
return response.data.items || []
/**
* 获取当前用户的素材库
*
* @param kind 可选,按素材库类型过滤(video/voice/image)。
* 后端 GET /asset-libraries 支持 kind 查询参数;这里同时在前端再按返回数据的
* kind 字段兜底过滤一次,保证旧后端(忽略未知 query 参数)也不会把其他类型的库
* 混进来(#1777:视频选择器只展示视频库)。
*/
export const getAssetLibraries = async (
kind?: AssetLibraryItem["kind"],
): Promise<AssetLibraryItem[]> => {
const response = await apiClient.get<{ items?: AssetLibraryItem[] }>("/asset-libraries", {
params: kind ? { kind } : undefined,
})
const items = response.data.items || []
return kind ? items.filter((lib) => lib.kind === kind) : items
}
/** 创建素材库(自动获取或创建默认项目以提供 project_id */
+13
View File
@@ -55,6 +55,19 @@ apiClient.interceptors.response.use(
async (error: AxiosError<{ detail?: string; message?: string; msg?: string }>) => {
const originalRequest = error.config as InternalAxiosRequestConfig & {
_retry?: boolean
/**
* 调用方自行处理错误提示时置 true:拦截器跳过全局 message 弹窗(#1777)。
* 例如失效模板自动回退时,调用方会弹「原模板已失效,已自动切换」,
* 不再叠加后端原始错误文案。错误仍会 reject,不影响 catch 逻辑。
*/
_silentErrorToast?: boolean
}
// 调用方声明自行处理提示:标记为已展示,跳过下面所有全局 message 弹窗
if (originalRequest?._silentErrorToast) {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
;(error as any).__msgShown = true
return Promise.reject(error)
}
// 401 → 尝试刷新 Token
@@ -12,17 +12,25 @@ import type {
ListCategoriesResponse,
} from "./types"
/** 获取模板列表 */
/** 获取模板列表
*
* valid_only=true 时请求后端仅返回已配置片段的模板(剪辑页选模板使用,
* 避免选中无片段配置的模板导致 from-assets 400#1769/#1772);
* 后端尚未支持该参数时会忽略未知 query 字段,前端再按 segments/is_active 兜底过滤。
* 模板编辑器/我的模板不传,可查看全部模板(含未配置片段的草稿)。
*/
export const getEditingTemplates = async (params?: {
category?: string
tag?: string
skip?: number
limit?: number
validOnly?: boolean
}): Promise<EditingTemplate[]> => {
const response = await apiClient.get<ListTemplatesResponse>("/templates", {
params: {
skip: params?.skip ?? 0,
limit: params?.limit ?? 50,
...(params?.validOnly ? { valid_only: true } : {}),
},
})
let list = response.data.items
+2
View File
@@ -0,0 +1,2 @@
export * from "./scripts"
export * from "./types"
+37
View File
@@ -0,0 +1,37 @@
/**
* 文案库 API
* 对接后端 /api/v1/scriptsCRUD + 列表解包)
*/
import apiClient from "../client"
import type {
ScriptItem,
ScriptListResponse,
CreateScriptRequest,
UpdateScriptRequest,
} from "./types"
/** 获取文案列表 — 必须解包 items(后端返回 {items,total}*/
export const getScripts = async (): Promise<ScriptItem[]> => {
const response = await apiClient.get<ScriptListResponse | ScriptItem[]>("/scripts")
const data = response.data as unknown
if (Array.isArray(data)) return data
const items = (data as { items?: ScriptItem[] })?.items
return Array.isArray(items) ? items : []
}
/** 新建文案 */
export const createScript = async (data: CreateScriptRequest): Promise<ScriptItem> => {
const response = await apiClient.post<ScriptItem>("/scripts", data)
return response.data
}
/** 更新文案 */
export const updateScript = async (id: string, data: UpdateScriptRequest): Promise<ScriptItem> => {
const response = await apiClient.put<ScriptItem>(`/scripts/${id}`, data)
return response.data
}
/** 删除文案 */
export const deleteScript = async (id: string): Promise<void> => {
await apiClient.delete(`/scripts/${id}`)
}
+24
View File
@@ -0,0 +1,24 @@
/**
* 文案库 API — 类型定义
* 对接后端 /api/v1/scripts
*/
export interface ScriptItem {
id: string
title: string
content: string
char_count: number
created_at: string
updated_at?: string
}
export interface ScriptListResponse {
items: ScriptItem[]
total: number
}
export interface CreateScriptRequest {
title: string
content: string
}
export type UpdateScriptRequest = Partial<CreateScriptRequest>
+7 -2
View File
@@ -91,7 +91,7 @@ export async function createClipsFromAssets(
assetIds: string[],
clipType = "main",
requiredClipsCount?: number,
opts?: { signal?: AbortSignal },
opts?: { signal?: AbortSignal; silentErrorToast?: boolean },
): Promise<ClipsFromAssetsResponse> {
const body: Record<string, unknown> = {
asset_ids: assetIds,
@@ -104,7 +104,12 @@ export async function createClipsFromAssets(
const response = await apiClient.post<ClipsFromAssetsResponse>(
`/templates/${templateId}/editor/clips/from-assets`,
body,
{ timeout: 60000, signal: opts?.signal },
{
timeout: 60000,
signal: opts?.signal,
// _silentErrorToast 由 api/client.ts 响应拦截器读取(抑制全局错误 toast,#1777
...(opts?.silentErrorToast ? ({ _silentErrorToast: true } as Record<string, unknown>) : {}),
},
)
return response.data
}
@@ -43,11 +43,17 @@ export async function updateEditPlanClips(
templateId: string,
clips: EditPlanClipInput[],
signal?: AbortSignal,
/** 为 true 时抑制全局错误 toast(调用方自行提示,如失效模板回退 #1777) */
silentErrorToast?: boolean,
): Promise<{ count: number }> {
const response = await apiClient.put(
`/templates/${templateId}/editor/clips`,
{ clips },
{ signal },
{
signal,
// _silentErrorToast 由 api/client.ts 响应拦截器读取(抑制全局错误 toast)
...(silentErrorToast ? ({ _silentErrorToast: true } as Record<string, unknown>) : {}),
},
)
return response.data
}
+1
View File
@@ -103,6 +103,7 @@ export interface TTSPreviewRequest {
voice_id: string
speed?: number
pitch?: number
emotion?: string // 情绪参数:natural/excited/calm/friendly
}
/** TTS 试听响应 */
+10 -4
View File
@@ -5,7 +5,7 @@
.xx-app-shell 全屏 flex 容器
├── header (xx-top-nav) 顶部导航(Header.tsx 管理)
└── .xx-app-body 水平 flex 行
├── .xx-app-sidebar 左侧侧边栏(240px / 64px 折叠)
├── .xx-app-sidebar 左侧侧边栏(128px / 64px 折叠)
└── .xx-app-content 主内容区(自适应)
所有尺寸/颜色均使用 global.css 设计系统变量
@@ -31,7 +31,7 @@
/* ── 侧边栏 ───────────────────────────────────────────────── */
.xx-app-sidebar {
width: 240px;
width: 128px;
flex-shrink: 0;
position: sticky;
top: 0;
@@ -103,6 +103,12 @@
padding: var(--space-sm);
}
/* 展开态(侧边栏 128px)水平 padding 收窄,为菜单文字留出完整一行空间 */
.xx-app-sidebar:not(.xx-collapsed) .xx-sidebar-content {
padding-left: var(--space-xs);
padding-right: var(--space-xs);
}
/* ── 主内容区 ─────────────────────────────────────────────── */
.xx-app-content {
flex: 1;
@@ -136,7 +142,7 @@
/* 展开态恢复完整宽度 */
.xx-app-sidebar:not(.xx-collapsed) {
width: 240px;
width: 128px;
}
.xx-app-sidebar:not(.xx-collapsed) .xx-sidebar-toggle {
@@ -159,7 +165,7 @@
top: 56px; /* 移动端 Header 高度 */
left: 0;
bottom: 0;
width: 240px;
width: 128px;
transform: translateX(-100%);
transition: transform var(--transition-slow);
box-shadow: none;
@@ -2,7 +2,7 @@
* MainLayout - 主布局组件(Task 1.2
*
* 三栏布局:左侧侧边栏 + 顶部导航栏 + 主内容区
* - 侧边栏:240px 固定宽度,可折叠至 64px 图标栏
* - 侧边栏:128px 固定宽度,可折叠至 64px 图标栏
* - 顶部导航:复用 Header 组件(68px 固定高度)
* - 主内容区:自适应填充剩余空间
* - 响应式:移动端(<768px)隐藏侧边栏
+20 -10
View File
@@ -30,7 +30,7 @@
/* 分组标题 */
.xx-sidebar-group-title {
padding: var(--space-sm) var(--space-md) var(--space-xs);
padding: var(--space-sm) var(--space-sm) var(--space-xs);
font-size: var(--font-size-xs);
font-weight: var(--font-weight-semibold);
color: var(--text-tertiary);
@@ -56,9 +56,9 @@
.xx-sidebar-menu-item {
display: flex;
align-items: center;
gap: var(--space-sm);
padding: var(--space-sm) var(--space-md);
margin: 0 var(--space-xs);
gap: var(--space-xs);
padding: var(--space-sm) var(--space-xs);
margin: 0 var(--space-xxs);
border-radius: var(--radius-sm);
cursor: pointer;
color: var(--text-secondary);
@@ -97,12 +97,12 @@
align-items: center;
justify-content: center;
flex-shrink: 0;
width: 36px;
height: 36px;
border-radius: 10px;
width: 28px;
height: 28px;
border-radius: 8px;
background: #f1f5f9;
color: var(--text-secondary);
font-size: 18px;
font-size: 16px;
line-height: 1;
transition: 0.15s ease;
}
@@ -119,7 +119,9 @@
/* ── 菜单项文字 ───────────────────────────────────────────── */
.xx-sidebar-menu-label {
flex: 1;
min-width: 0;
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
@@ -133,8 +135,16 @@
/* 折叠时菜单项居中,仅图标 */
.xx-sidebar-nav--collapsed .xx-sidebar-menu-item {
justify-content: center;
padding: var(--space-sm);
margin: 0 var(--space-xxs);
padding: var(--space-xs);
margin: 0;
}
/* 折叠态图标恢复更大尺寸居中 */
.xx-sidebar-nav--collapsed .xx-sidebar-menu-icon {
width: 32px;
height: 32px;
border-radius: 8px;
font-size: 16px;
}
/* 折叠时隐藏分组标题 */
+25
View File
@@ -18,6 +18,7 @@ import {
ControlOutlined,
CrownOutlined,
UnorderedListOutlined,
UserOutlined,
} from "@ant-design/icons"
/** 导航项类型 */
@@ -57,6 +58,12 @@ export const NAV_ITEMS: NavItem[] = [
path: "/app/titles",
icon: React.createElement(FileTextOutlined),
},
{
key: "scripts",
label: "文案库",
path: "/app/scripts",
icon: React.createElement(EditOutlined),
},
{
key: "voices",
label: "配音库",
@@ -88,6 +95,12 @@ export const NAV_ITEMS: NavItem[] = [
path: "/app/generate",
icon: React.createElement(VideoCameraOutlined),
},
{
key: "ai-avatar",
label: "AI数字人",
path: "/app/ai-avatar",
icon: React.createElement(UserOutlined),
},
{
key: "history",
label: "任务历史",
@@ -131,6 +144,12 @@ export const NAV_GROUPS: NavGroup[] = [
path: "/app/generate",
icon: React.createElement(VideoCameraOutlined),
},
{
key: "ai-avatar",
label: "AI数字人",
path: "/app/ai-avatar",
icon: React.createElement(UserOutlined),
},
{
key: "editing-planner",
label: "剪辑模板",
@@ -160,6 +179,12 @@ export const NAV_GROUPS: NavGroup[] = [
path: "/app/titles",
icon: React.createElement(FileTextOutlined),
},
{
key: "scripts",
label: "文案库",
path: "/app/scripts",
icon: React.createElement(EditOutlined),
},
{
key: "products",
label: "成品库",
+1 -1
View File
@@ -11,7 +11,7 @@
.admin-coming-soon-page {
padding: 32px;
max-width: 1400px;
max-width: 1680px;
margin: 0 auto;
}
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,745 @@
/**
* AI数字人 — 主页面(v3 两步骤版)
* 步骤1:出镜视频 / 配音库 / 文案
* 步骤2:对口型预览(含插入画面)/ 标题配置 / 封面&生成
*/
import React, { useState, useCallback, useEffect, useRef } from "react"
import { message } from "antd"
import { useNavigate } from "react-router-dom"
import "./AiAvatar.css"
import { useAiAvatar } from "./hooks/useAiAvatar"
import { PanelVideoSelector } from "./components/PanelVideoSelector"
import PanelVoiceSelector from "./components/PanelVoiceSelector"
import PanelScript from "./components/PanelScript"
import PanelLipsyncPreview from "./components/PanelLipsyncPreview"
import PanelTitleConfig from "./components/PanelTitleConfig"
import PanelCoverAndGenerate from "./components/PanelCoverAndGenerate"
import { ModalAssetPicker } from "./components/ModalAssetPicker"
import ModalBRollEditor from "./components/ModalBRollEditor"
import {
getScripts,
getAssetById,
createLipsyncJob,
getLipsyncJob,
submitRender,
getRenderJob,
generateSmartCover,
} from "./api/aiAvatar"
import {
normalizeEmotion,
buildTitleConfigPayload,
buildCoverConfigPayload,
} from "./utils/contract"
/** 面板折叠状态 */
type PanelKey = "video" | "voice" | "script" | "lipsync" | "title" | "cover"
const AiAvatarPage: React.FC = () => {
const state = useAiAvatar()
const navigate = useNavigate()
const [currentStep, setCurrentStep] = useState<1 | 2>(1)
const [collapsed, setCollapsed] = useState<Record<PanelKey, boolean>>({
video: false,
voice: false,
script: false,
lipsync: false,
title: false,
cover: false,
})
/* ── 对口型生成弹窗 ── */
const [showLipsyncModal, setShowLipsyncModal] = useState(false)
const [lipsyncStatus, setLipsyncStatus] = useState<"generating" | "completed" | "failed">(
"generating",
)
const [lipsyncErrorMessage, setLipsyncErrorMessage] = useState("")
/* ── 智能封面加载态 ── */
const [smartCoverLoading, setSmartCoverLoading] = useState(false)
/* ── 渲染进度弹窗 ── */
const [showRenderModal, setShowRenderModal] = useState(false)
const [renderStatus, setRenderStatus] = useState<"generating" | "completed" | "failed">(
"generating",
)
const [renderProgress, setRenderProgress] = useState(0)
const [renderErrorMessage, setRenderErrorMessage] = useState("")
/* ── 对口型轮询 ── */
const lipsyncTimerRef = useRef<ReturnType<typeof setInterval> | null>(null)
/* ── 渲染进度轮询 ── */
const renderTimerRef = useRef<ReturnType<typeof setInterval> | null>(null)
const togglePanel = useCallback((key: PanelKey) => {
setCollapsed((prev) => ({ ...prev, [key]: !prev[key] }))
}, [])
/* ── 步骤切换 ── */
const handleNextStep = useCallback(() => {
const missing: string[] = []
if (!state.selectedVideo) missing.push("出镜视频")
if (!state.selectedVoice) missing.push("配音")
if (!state.scriptText.trim()) missing.push("文案")
if (missing.length > 0) {
message.warning(`请先完成${missing.join("、")}`)
return
}
setCurrentStep(2)
}, [state.selectedVideo, state.selectedVoice, state.scriptText])
const handlePrevStep = useCallback(() => {
setCurrentStep(1)
}, [])
/* ── 对口型 ── */
const handleGenerateLipsync = useCallback(async () => {
// ② 缺项明确提示(#1809):不再静默 return
const video = state.selectedVideo
const voice = state.selectedVoice
const text = state.scriptText.trim()
const missing: string[] = []
if (!video) missing.push("出镜视频")
if (!voice) missing.push("音色")
if (!text) missing.push("文案")
if (missing.length > 0 || !video || !voice) {
message.warning(`请先选择${missing.join("、")}`)
return
}
try {
// 显示生成弹窗
setShowLipsyncModal(true)
setLipsyncStatus("generating")
setLipsyncErrorMessage("")
// ① 先按素材 id 拿 file_url(#1809 补充:对齐后端新参数 video_url)
console.log("[对口型] 开始生成:", {
videoId: video.id,
voiceId: voice.voice_id,
voiceType: voice.type,
textLen: state.scriptText.length,
})
const asset = await getAssetById(video.id)
console.log("[对口型] getAssetById 响应:", {
id: asset?.id,
file_url: asset?.file_url?.substring(0, 100),
})
const videoUrl = asset?.file_url
if (!videoUrl) {
console.error("[对口型] file_url 为空,asset:", asset)
setShowLipsyncModal(false)
message.error("获取出镜视频播放地址失败,请重新选择素材")
return
}
// ② 模式A TTS直生:video_url + voice_id + script_text,语速/情绪英文枚举透传(#1822)
const payload = {
voice_id: voice.voice_id,
script_text: state.scriptText,
video_url: videoUrl,
speed: state.speed, // 语速 0.5~2.0
emotion: normalizeEmotion(state.emotion), // natural/excited/calm/friendly
}
console.log("[对口型] createLipsyncJob 请求:", payload)
const job = await createLipsyncJob(payload)
console.log("[对口型] createLipsyncJob 响应:", { id: job.id, status: job.status })
state.setLipsyncJob(job)
// 开始轮询
if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
lipsyncTimerRef.current = setInterval(async () => {
try {
const updated = await getLipsyncJob(job.id)
state.setLipsyncJob(updated)
console.log("[对口型] 轮询状态:", {
id: updated.id,
status: updated.status,
error: updated.error_message,
})
if (updated.status === "completed") {
if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
setLipsyncStatus("completed")
setTimeout(() => {
setShowLipsyncModal(false)
message.success("对口型视频生成完成")
}, 1000)
} else if (updated.status === "failed") {
if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
setLipsyncStatus("failed")
setLipsyncErrorMessage(updated.error_message || "对口型生成失败")
}
} catch (err) {
console.error("[对口型] 轮询错误:", err)
}
}, 3000)
} catch (err) {
console.error("[对口型] 创建失败:", {
status: (err as { response?: { status?: number } })?.response?.status,
data: (err as { response?: { data?: unknown } })?.response?.data,
message: err instanceof Error ? err.message : String(err),
})
setShowLipsyncModal(false)
message.error(err instanceof Error ? err.message : "对口型任务提交失败,请重试")
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [state.selectedVideo, state.selectedVoice, state.scriptText, state.speed, state.emotion])
// 取消对口型生成
const handleCancelLipsync = useCallback(() => {
if (lipsyncTimerRef.current) {
clearInterval(lipsyncTimerRef.current)
lipsyncTimerRef.current = null
}
setShowLipsyncModal(false)
setLipsyncStatus("generating")
setLipsyncErrorMessage("")
}, [])
// 清理轮询
useEffect(() => {
return () => {
if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
if (renderTimerRef.current) clearInterval(renderTimerRef.current)
}
}, [])
/* ── 生成视频(含实时进度轮询) ── */
const handleGenerate = useCallback(async () => {
if (!state.lipsyncJob || state.lipsyncJob.status !== "completed") {
message.warning("请先生成对口型视频,待对口型完成后再提交渲染")
return
}
state.setIsGenerating(true)
try {
const job = await submitRender({
lipsync_job_id: state.lipsyncJob.id,
script_id: state.script?.id,
b_roll_segments: state.bRollSegments.map((seg) => ({
script_segment_index: seg.script_segment_index,
asset_url: seg.asset.file_url || "",
mode: seg.mode,
start_time: seg.start_time,
end_time: seg.end_time,
pip_position: seg.pip_position,
pip_scale: seg.pip_scale,
})) as never,
title_config: buildTitleConfigPayload(state.titleConfig),
cover_config: buildCoverConfigPayload(state.coverConfig, state.coverConfig.smart_cover_url),
})
// 打开渲染进度弹窗,启动轮询
setShowRenderModal(true)
setRenderStatus("generating")
setRenderProgress(job.progress ?? 0)
setRenderErrorMessage("")
if (renderTimerRef.current) clearInterval(renderTimerRef.current)
renderTimerRef.current = setInterval(async () => {
try {
const updated = await getRenderJob(job.id)
setRenderProgress(updated.progress ?? 0)
if (updated.status === "completed") {
if (renderTimerRef.current) clearInterval(renderTimerRef.current)
renderTimerRef.current = null
setRenderStatus("completed")
message.success("视频已生成并保存到成片库")
} else if (updated.status === "failed") {
if (renderTimerRef.current) clearInterval(renderTimerRef.current)
renderTimerRef.current = null
setRenderStatus("failed")
setRenderErrorMessage(updated.error_message || "渲染失败,请重试")
}
} catch (pollErr) {
console.error("[渲染] 轮询失败:", pollErr)
}
}, 3000)
} catch (err) {
console.error("渲染任务提交失败:", err)
message.error(err instanceof Error ? err.message : "渲染任务提交失败,请重试")
} finally {
state.setIsGenerating(false)
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [state.lipsyncJob, state.script, state.bRollSegments, state.titleConfig, state.coverConfig])
/* ── 关闭渲染进度弹窗 ── */
const handleCancelRender = useCallback(() => {
if (renderTimerRef.current) {
clearInterval(renderTimerRef.current)
renderTimerRef.current = null
}
setShowRenderModal(false)
setRenderStatus("generating")
setRenderProgress(0)
setRenderErrorMessage("")
}, [])
/* ── 智能封面:调后端 MediaKit 选帧接口(#1822 ── */
const handleSmartCover = useCallback(async () => {
// 基于对口型成片抽帧,必须先完成对口型
const videoUrl = state.lipsyncJob?.output_video_url
if (state.lipsyncJob?.status !== "completed" || !videoUrl) {
message.warning("请先生成对口型视频,完成后再智能获取封面")
return
}
setSmartCoverLoading(true)
try {
const res = await generateSmartCover(videoUrl, 5)
if (res.cover_url) {
state.setCoverConfig((prev) => ({
...prev,
mode: "auto_frame",
smart_cover_url: res.cover_url,
thumbnail_url: res.cover_url,
}))
message.success("智能封面已生成")
} else {
message.error(res.message || "智能封面生成失败,请稍后重试")
}
} catch (err) {
console.error("智能封面生成失败:", err)
message.error(err instanceof Error ? err.message : "智能封面生成失败,请重试")
} finally {
setSmartCoverLoading(false)
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [state.lipsyncJob])
/* ── 配置汇总 ── */
const summary = {
videoName: state.selectedVideo?.name || null,
voiceName: state.selectedVoice?.name || null,
scriptLength: state.scriptText.length,
lipsyncStatus: state.lipsyncJob?.status || null,
brollCount: state.bRollSegments.length,
hasTitle: state.titleConfig.title.length > 0,
hasCover: state.coverConfig.enabled,
}
return (
<div className="aa-page">
<div className="aa-page-header">
<h1>AI数字人</h1>
</div>
{/* 步骤切换导航条 */}
<div className="aa-step-nav">
<span className={`aa-step-nav__item${currentStep === 1 ? " active" : ""}`}>
1. / /
</span>
<span className={`aa-step-nav__item${currentStep === 2 ? " active" : ""}`}>
2. / / /
</span>
</div>
<div className="aa-page-body">
{/* ════ 步骤 1:出镜视频 / 配音库 / 文案 ════ */}
{currentStep === 1 && (
<>
{/* 面板1:出镜视频 */}
<div className={`aa-panel aa-panel--s1${collapsed.video ? " collapsed" : ""}`}>
<div className="aa-panel__header" onClick={() => togglePanel("video")}>
<span className="aa-panel__title"></span>
<span className="aa-panel__toggle"></span>
</div>
<div className="aa-panel__body">
<PanelVideoSelector
selectedVideo={state.selectedVideo}
onSelectVideo={() => state.setShowAssetPicker(true)}
onRemoveVideo={state.removeVideo}
titleConfig={state.titleConfig}
/>
</div>
</div>
{/* 面板2:配音库 */}
<div className={`aa-panel aa-panel--s1${collapsed.voice ? " collapsed" : ""}`}>
<div className="aa-panel__header" onClick={() => togglePanel("voice")}>
<span className="aa-panel__title"></span>
<span className="aa-panel__toggle"></span>
</div>
<div className="aa-panel__body">
<PanelVoiceSelector
voiceSource={state.voiceSource}
onVoiceSourceChange={state.setVoiceSource}
selectedVoice={state.selectedVoice}
onSelectVoice={state.setSelectedVoice}
emotion={state.emotion}
onEmotionChange={state.setEmotion}
speed={state.speed}
onSpeedChange={state.setSpeed}
language={state.language}
onLanguageChange={state.setLanguage}
/>
</div>
</div>
{/* 面板3:文案 */}
<div className={`aa-panel aa-panel--s1-wide${collapsed.script ? " collapsed" : ""}`}>
<div className="aa-panel__header" onClick={() => togglePanel("script")}>
<span className="aa-panel__title"> & </span>
<span className="aa-panel__toggle"></span>
</div>
<div className="aa-panel__body">
<PanelScript
scriptText={state.scriptText}
onScriptTextChange={state.setScriptText}
onOpenScriptModal={() => state.setShowScriptModal(true)}
/>
<div className="aa-step-btn-row">
<button type="button" className="aa-btn aa-btn--primary" onClick={handleNextStep}>
</button>
</div>
</div>
</div>
</>
)}
{/* ════ 步骤 2:对口型预览(含插入画面)/ 标题配置 / 封面&生成 ════ */}
{currentStep === 2 && (
<>
{/* 面板:对口型预览 + 插入画面 */}
<div className={`aa-panel aa-panel--s2-wide${collapsed.lipsync ? " collapsed" : ""}`}>
<div className="aa-panel__header" onClick={() => togglePanel("lipsync")}>
<span className="aa-panel__title"></span>
<span className="aa-panel__toggle"></span>
</div>
<div className="aa-panel__body">
<PanelLipsyncPreview
lipsyncJob={state.lipsyncJob}
onGenerateLipsync={handleGenerateLipsync}
bRollSegments={state.bRollSegments}
onOpenBRollModal={() => state.setShowBRollModal(true)}
onRemoveBRoll={state.removeBRollSegment}
titleConfig={state.titleConfig}
onTitlePositionChange={(pos) => state.updateTitleConfig(pos)}
/>
<div className="aa-step-btn-row">
<button type="button" className="aa-btn" onClick={handlePrevStep}>
</button>
</div>
</div>
</div>
{/* 面板4:标题配置 */}
<div className={`aa-panel aa-panel--s2${collapsed.title ? " collapsed" : ""}`}>
<div className="aa-panel__header" onClick={() => togglePanel("title")}>
<span className="aa-panel__title"></span>
<span className="aa-panel__toggle"></span>
</div>
<div className="aa-panel__body">
<PanelTitleConfig
titleConfig={state.titleConfig}
onUpdate={state.updateTitleConfig}
/>
</div>
</div>
{/* 面板5:封面 & 生成 */}
<div className={`aa-panel aa-panel--s2${collapsed.cover ? " collapsed" : ""}`}>
<div className="aa-panel__header" onClick={() => togglePanel("cover")}>
<span className="aa-panel__title"> & </span>
<span className="aa-panel__toggle"></span>
</div>
<div className="aa-panel__body">
<PanelCoverAndGenerate
coverConfig={state.coverConfig}
onCoverConfigChange={(partial) =>
state.setCoverConfig((prev) => ({ ...prev, ...partial }))
}
onSmartCover={handleSmartCover}
smartCoverLoading={smartCoverLoading}
canSmartCover={state.lipsyncJob?.status === "completed"}
resolution={state.resolution}
onResolutionChange={state.setResolution}
isGenerating={state.isGenerating}
onGenerate={handleGenerate}
summary={summary}
/>
</div>
</div>
</>
)}
</div>
{/* 素材库弹窗 */}
{state.showAssetPicker && (
<ModalAssetPicker
open={state.showAssetPicker}
onClose={() => state.setShowAssetPicker(false)}
onSelect={state.selectVideo}
selectedId={state.selectedVideo?.id}
/>
)}
{/* 文案选择弹窗 */}
{state.showScriptModal && (
<ScriptSelectModalLazy
open={state.showScriptModal}
onClose={() => state.setShowScriptModal(false)}
onSelect={state.selectScript}
/>
)}
{/* B-roll 编辑器弹窗 */}
{state.showBRollModal && (
<ModalBRollEditor
open={state.showBRollModal}
onClose={() => state.setShowBRollModal(false)}
existingSegments={state.bRollSegments}
scriptText={state.scriptText}
outputDuration={state.lipsyncJob?.output_duration ?? 0}
onConfirm={state.addBRollSegment}
onRemove={state.removeBRollSegment}
/>
)}
{/* 对口型生成弹窗 */}
{showLipsyncModal && (
<div className="aa-modal-overlay">
<div className="aa-modal" onClick={(e) => e.stopPropagation()}>
<div className="aa-modal__header">
<span className="aa-modal__title"></span>
<button className="aa-modal__close" onClick={handleCancelLipsync}>
</button>
</div>
<div
className="aa-modal__body"
style={{
display: "flex",
flexDirection: "column",
alignItems: "center",
padding: "40px 20px",
}}
>
{lipsyncStatus === "generating" && (
<>
<div className="aa-lipsync-spinner" />
<div style={{ marginTop: 20, fontSize: 15, color: "#1a1a2e" }}>
</div>
<div style={{ marginTop: 8, fontSize: 13, color: "#8c8ca1" }}>
</div>
</>
)}
{lipsyncStatus === "completed" && (
<>
<div style={{ fontSize: 48 }}></div>
<div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>
</div>
</>
)}
{lipsyncStatus === "failed" && (
<>
<div style={{ fontSize: 48 }}></div>
<div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>
</div>
{lipsyncErrorMessage && (
<div style={{ marginTop: 8, fontSize: 13, color: "#ff4d4f" }}>
{lipsyncErrorMessage}
</div>
)}
</>
)}
</div>
<div className="aa-modal__footer">
{lipsyncStatus === "generating" && (
<button className="aa-btn aa-btn--danger" onClick={handleCancelLipsync}>
</button>
)}
{lipsyncStatus !== "generating" && (
<button className="aa-btn" onClick={handleCancelLipsync}>
</button>
)}
</div>
</div>
</div>
)}
{/* 渲染进度弹窗 */}
{showRenderModal && (
<div className="aa-modal-overlay">
<div className="aa-modal" onClick={(e) => e.stopPropagation()}>
<div className="aa-modal__header">
<span className="aa-modal__title"></span>
<button className="aa-modal__close" onClick={handleCancelRender}>
</button>
</div>
<div
className="aa-modal__body"
style={{
display: "flex",
flexDirection: "column",
alignItems: "center",
padding: "40px 20px",
}}
>
{renderStatus === "generating" && (
<>
<div className="aa-lipsync-spinner" />
<div style={{ marginTop: 20, fontSize: 15, color: "#1a1a2e" }}>
</div>
<div
style={{
marginTop: 16,
fontSize: 32,
fontWeight: 700,
color: "#1890ff",
}}
>
{renderProgress}%
</div>
<div
style={{
marginTop: 12,
width: "80%",
height: 8,
backgroundColor: "#f0f0f0",
borderRadius: 4,
overflow: "hidden",
}}
>
<div
style={{
width: `${renderProgress}%`,
height: "100%",
backgroundColor: "#1890ff",
borderRadius: 4,
transition: "width 0.5s ease",
}}
/>
</div>
<div style={{ marginTop: 12, fontSize: 13, color: "#8c8ca1" }}>
</div>
</>
)}
{renderStatus === "completed" && (
<>
<div style={{ fontSize: 48 }}></div>
<div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>
</div>
<button
className="aa-btn"
style={{ marginTop: 16 }}
onClick={() => {
setShowRenderModal(false)
navigate("/app/products")
}}
>
📁
</button>
</>
)}
{renderStatus === "failed" && (
<>
<div style={{ fontSize: 48 }}></div>
<div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}></div>
{renderErrorMessage && (
<div style={{ marginTop: 8, fontSize: 13, color: "#ff4d4f" }}>
{renderErrorMessage}
</div>
)}
</>
)}
</div>
<div className="aa-modal__footer">
{renderStatus === "generating" && (
<button className="aa-btn aa-btn--danger" onClick={handleCancelRender}>
</button>
)}
{renderStatus !== "generating" && (
<button className="aa-btn" onClick={handleCancelRender}>
</button>
)}
</div>
</div>
</div>
)}
</div>
)
}
/** 文案选择弹窗(内联实现,轻量版) */
const ScriptSelectModalLazy: React.FC<{
open: boolean
onClose: () => void
onSelect: (script: import("./types").Script) => void
}> = ({ open, onClose, onSelect }) => {
const [scripts, setScripts] = useState<import("./types").Script[]>([])
const [search, setSearch] = useState("")
const [loading, setLoading] = useState(false)
useEffect(() => {
if (!open) return
setLoading(true)
getScripts()
.then((items) => setScripts(Array.isArray(items) ? items : []))
.catch(() => setScripts([]))
.finally(() => setLoading(false))
}, [open])
const filtered = scripts.filter(
(s) => !search || s.title.includes(search) || s.content.includes(search),
)
return (
<div className="aa-modal-overlay" onClick={onClose}>
<div className="aa-modal" onClick={(e) => e.stopPropagation()}>
<div className="aa-modal__header">
<span className="aa-modal__title"></span>
<button className="aa-modal__close" onClick={onClose}>
</button>
</div>
<div className="aa-modal__body">
<div className="aa-script-list-header">
<input
className="aa-input"
placeholder="搜索文案..."
value={search}
onChange={(e) => setSearch(e.target.value)}
/>
</div>
{loading ? (
<div className="aa-empty">...</div>
) : filtered.length === 0 ? (
<div className="aa-empty">
<div className="aa-empty__icon">📝</div>
</div>
) : (
<div className="aa-script-list">
{filtered.map((s) => (
<div key={s.id} className="aa-script-item" onClick={() => onSelect(s)}>
<span className="aa-script-item__icon">📄</span>
<div className="aa-script-item__info">
<div className="aa-script-item__title">{s.title}</div>
<div className="aa-script-item__meta">
{s.char_count} · {new Date(s.created_at).toLocaleDateString()}
</div>
</div>
</div>
))}
</div>
)}
</div>
<div className="aa-modal__footer">
<button className="aa-btn" onClick={onClose}>
</button>
</div>
</div>
</div>
)
}
export default AiAvatarPage
@@ -0,0 +1,94 @@
/**
* AI数字人 — API 封装(#1822 契约对齐)
*/
import apiClient from "@/api/client"
import type { Script, LipsyncJob, RenderJob, BRollSegment } from "../types"
/* ── 文案库 ── */
export const getScripts = async (): Promise<Script[]> => {
const response = await apiClient.get<{ items?: Script[] } | Script[]>("/scripts")
// 后端列表返回 { items, total } 分页对象,做兼容解包 + 数组防御(#1809 白屏修复)
const data = response.data as unknown
if (Array.isArray(data)) return data
const items = (data as { items?: Script[] })?.items
return Array.isArray(items) ? items : []
}
export const getScriptById = async (id: string): Promise<Script> => {
const response = await apiClient.get<Script>(`/scripts/${id}`)
return response.data
}
export const createScript = async (data: { title: string; content: string }): Promise<Script> => {
const response = await apiClient.post<Script>("/scripts", data)
return response.data
}
export const deleteScript = async (id: string): Promise<void> => {
await apiClient.delete(`/scripts/${id}`)
}
/* ── 素材单查(拿到 file_url 作为对口型的 video_url ── */
export const getAssetById = async (id: string): Promise<{ file_url?: string; id: string }> => {
const response = await apiClient.get<{ file_url?: string; id: string }>(`/assets/${id}`)
return response.data
}
/* ── 对口型(模式A:TTS 直生,后端内部合成音频;不要先调 TTS 拿 audio_url ── */
export const createLipsyncJob = async (data: {
/** 人物视频 URLMP4);由素材 id 经 getAssetById 拿 file_url,禁止传 video_asset_id */
video_url: string
/** 音色 ID(预置音色 或 克隆音色 profile UUID,后端会解析) */
voice_id: string
/** 要合成的文案(手动输入或文案库内容) */
script_text: string
/** 语速 0.5~2.0,默认 1.0 */
speed?: number
/** 情绪英文枚举:natural/excited/calm/friendly */
emotion?: string
enable_video_loop?: boolean
project_id?: string
}): Promise<LipsyncJob> => {
const response = await apiClient.post<LipsyncJob>("/lipsync/jobs", data)
return response.data
}
export const getLipsyncJob = async (id: string): Promise<LipsyncJob> => {
const response = await apiClient.get<LipsyncJob>(`/lipsync/jobs/${id}`, { timeout: 60000 })
return response.data
}
/* ── 智能封面(MediaKit 抽帧 + 质量评分选最佳帧,独立于渲染任务) ── */
export const generateSmartCover = async (
video_url: string,
max_frames = 5,
): Promise<{ cover_url: string; status: string; message: string }> => {
const response = await apiClient.post<{ cover_url: string; status: string; message: string }>(
"/ai-avatar/render/smart-cover",
{ video_url, max_frames },
{ timeout: 60000 },
)
return response.data
}
/* ── 渲染 ── */
export const submitRender = async (data: {
lipsync_job_id: string
script_id?: string
b_roll_segments?: BRollSegment[]
title_config?: Record<string, unknown>
cover_config?: Record<string, unknown>
project_id?: string
}): Promise<RenderJob> => {
const response = await apiClient.post<RenderJob>("/ai-avatar/render", data)
return response.data
}
export const getRenderJob = async (jobId: string): Promise<RenderJob> => {
const response = await apiClient.get<RenderJob>(`/ai-avatar/render/${jobId}`)
return response.data
}
export const cancelRenderJob = async (jobId: string): Promise<void> => {
await apiClient.post(`/ai-avatar/render/${jobId}/cancel`)
}
@@ -0,0 +1,209 @@
/**
* AI数字人 — 出镜视频选择弹窗(#1809 ③)
* 交互对齐智能剪辑 Step2:先选素材库(video 库)→ 再选该库内视频。
* 搜索框 + 素材库下拉 + 竖屏 9:16 视频缩略图网格 + 底部确认选择。
*/
import { useEffect, useState } from "react"
import { getAssets, getAssetLibraries, type AssetItem, type AssetLibraryItem } from "@/api/assets"
export interface ModalAssetPickerProps {
open: boolean
onClose: () => void
onSelect: (asset: AssetItem) => void
/** 已选中的素材 ID(用于高亮) */
selectedId?: string
}
export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalAssetPickerProps) {
const [keyword, setKeyword] = useState("")
const [libraries, setLibraries] = useState<AssetLibraryItem[]>([])
const [libraryId, setLibraryId] = useState<string>("")
const [assets, setAssets] = useState<AssetItem[]>([])
const [pickedId, setPickedId] = useState<string | null>(null)
const [loadingLibs, setLoadingLibs] = useState(false)
const [loadingAssets, setLoadingAssets] = useState(false)
const [error, setError] = useState("")
/* 弹窗打开:重置状态 */
useEffect(() => {
if (!open) return
setKeyword("")
setLibraries([])
setLibraryId("")
setAssets([])
setError("")
setPickedId(selectedId ?? null)
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [open])
/* 第一步:加载视频素材库列表(仅 kind=video,对齐智能剪辑 #1777 */
useEffect(() => {
if (!open) return
let cancelled = false
setLoadingLibs(true)
getAssetLibraries("video")
.then((libs) => {
if (cancelled) return
const list = Array.isArray(libs) ? libs : []
setLibraries(list)
// 默认选中第一个视频库
if (list.length > 0) setLibraryId((prev) => prev || list[0].id)
})
.catch(() => {
if (!cancelled) setError("素材库加载失败,请重试")
})
.finally(() => {
if (!cancelled) setLoadingLibs(false)
})
return () => {
cancelled = true
}
}, [open])
/* 第二步:选中库后拉取该库视频素材(关键字防抖) */
useEffect(() => {
if (!open || !libraryId) return
let cancelled = false
setLoadingAssets(true)
const load = async () => {
try {
// getAssets 返回 { items, total };拉满一页(数字人口播视频库通常不大)
const { items } = await getAssets(libraryId, { page_size: 100 })
if (cancelled) return
let list = Array.isArray(items) ? items : []
// 仅保留视频素材(出镜视频要求)
list = list.filter((a) => a.mime_type?.includes("video"))
const kw = keyword.trim()
if (kw) list = list.filter((a) => a.name?.includes(kw))
setAssets(list)
setError("")
} catch {
if (!cancelled) {
setError("素材加载失败,请重试")
setAssets([])
}
} finally {
if (!cancelled) setLoadingAssets(false)
}
}
const timer = window.setTimeout(load, 300)
return () => {
cancelled = true
window.clearTimeout(timer)
}
}, [open, libraryId, keyword])
if (!open) return null
const handleConfirm = () => {
if (!pickedId) return
const asset = assets.find((a) => a.id === pickedId)
if (asset) onSelect(asset)
onClose()
}
return (
<div className="aa-modal-overlay" onClick={onClose}>
<div className="aa-modal" onClick={(e) => e.stopPropagation()}>
{/* 头部 */}
<div className="aa-modal__header">
<span className="aa-modal__title"></span>
<button type="button" className="aa-modal__close" onClick={onClose} aria-label="关闭">
×
</button>
</div>
{/* 主体:素材库选择 + 搜索 + 网格 */}
<div className="aa-modal__body">
{/* 第一步:选素材库 */}
<div className="aa-asset-search">
<select
className="aa-select"
style={{ width: 160, flex: "0 0 auto" }}
value={libraryId}
onChange={(e) => setLibraryId(e.target.value)}
disabled={loadingLibs || libraries.length === 0}
>
{libraries.length === 0 ? (
<option value="">{loadingLibs ? "素材库加载中…" : "暂无视频素材库"}</option>
) : (
libraries.map((lib) => (
<option key={lib.id} value={lib.id}>
📁 {lib.name}
</option>
))
)}
</select>
<input
className="aa-input"
type="text"
placeholder="搜索素材名称…"
value={keyword}
onChange={(e) => setKeyword(e.target.value)}
/>
</div>
{libraries.length === 0 && !loadingLibs ? (
<div className="aa-empty">
<div className="aa-empty__icon">📁</div>
</div>
) : loadingAssets ? (
<div className="aa-empty">
<div className="aa-empty__icon"></div>
</div>
) : error ? (
<div className="aa-empty">
<div className="aa-empty__icon"></div>
{error}
</div>
) : assets.length === 0 ? (
<div className="aa-empty">
<div className="aa-empty__icon">🎬</div>
</div>
) : (
<div className="aa-asset-grid">
{assets.map((asset) => {
const isActive = asset.id === pickedId
const thumb = asset.thumbnail_url || asset.file_url
const isVideo = asset.mime_type?.includes("video")
return (
<div
key={asset.id}
className={`aa-asset-card${isActive ? " selected" : ""}`}
onClick={() => setPickedId(asset.id)}
>
{isVideo && !asset.thumbnail_url ? (
<video src={asset.file_url} muted preload="metadata" />
) : (
<img src={thumb} alt={asset.name} />
)}
{isActive && <div className="aa-asset-card__check"></div>}
<div className="aa-asset-card__name">{asset.name}</div>
</div>
)
})}
</div>
)}
</div>
{/* 底部:取消 + 确认选择 */}
<div className="aa-modal__footer">
<button type="button" className="aa-btn aa-btn--ghost" onClick={onClose}>
</button>
<button
type="button"
className="aa-btn aa-btn--primary"
onClick={handleConfirm}
disabled={!pickedId}
>
</button>
</div>
</div>
</div>
)
}
@@ -0,0 +1,421 @@
/**
* AI数字人 — B-roll 画面插入编辑器弹窗(#1809 ④⑤⑥)
*
* 布局:
* - 左侧:先选素材库(video 库)→ 再选该库视频素材(已被其他 segment 使用的素材
* 标灰 + "已选择" 遮罩,pointer-events:none 防重复选择)
* - 右侧:文案句子列表(点选对应段落,替代原数字索引框)/ 全屏 or 画中画 / 四角位置+大小
* (开始/结束时间已删除,按句子字数占比 × 口播总时长自动估算)
* - 底部:已配置的画面插入列表(可删除)
*/
import React, { useEffect, useMemo, useState } from "react"
import { getAssets, getAssetLibraries, type AssetItem, type AssetLibraryItem } from "@/api/assets"
import type { BRollSegment, BRollInsertMode, PipPosition } from "../types"
import { splitScriptIntoSentences, type ScriptSentence } from "../utils/sentences"
interface ModalBRollEditorProps {
open: boolean
onClose: () => void
/** 当前已有的 B-roll segments(用于标灰已选素材) */
existingSegments: BRollSegment[]
/** 当前文案全文(用于分句) */
scriptText: string
/** 对口型成片总时长(秒),用于时间自动估算 */
outputDuration: number
onConfirm: (segment: BRollSegment) => void
onRemove: (id: string) => void
}
const PIP_POSITION_OPTIONS: { value: PipPosition; label: string }[] = [
{ value: "top-left", label: "左上" },
{ value: "top-right", label: "右上" },
{ value: "bottom-left", label: "左下" },
{ value: "bottom-right", label: "右下" },
]
const MODE_LABEL: Record<BRollInsertMode, string> = {
fullscreen: "全屏切换",
pip: "画中画",
}
const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
open,
onClose,
existingSegments,
scriptText,
outputDuration,
onConfirm,
onRemove,
}) => {
/* ── 素材库(④ 先选库再选素材) ── */
const [libraries, setLibraries] = useState<AssetLibraryItem[]>([])
const [libraryId, setLibraryId] = useState<string>("")
const [availableAssets, setAvailableAssets] = useState<AssetItem[]>([])
const [loadingLibs, setLoadingLibs] = useState(false)
const [loadingAssets, setLoadingAssets] = useState(false)
const [assetError, setAssetError] = useState("")
/* ── 右侧设置本地状态 ── */
const [selectedAsset, setSelectedAsset] = useState<AssetItem | null>(null)
const [selectedSentence, setSelectedSentence] = useState<ScriptSentence | null>(null)
const [mode, setMode] = useState<BRollInsertMode>("fullscreen")
const [pipPosition, setPipPosition] = useState<PipPosition>("top-right")
const [pipScale, setPipScale] = useState(0.3)
/** 文案分句(⑤) */
const sentences = useMemo(
() => splitScriptIntoSentences(scriptText, outputDuration),
[scriptText, outputDuration],
)
/** 已被现有 segments 占用的素材 id 集合(标灰、禁止重复选择) */
const usedAssetIds = useMemo(
() => new Set(existingSegments.map((seg) => seg.asset.id)),
[existingSegments],
)
/* 弹窗打开:重置选择 + 加载视频库列表 */
useEffect(() => {
if (!open) return
setSelectedAsset(null)
setSelectedSentence(null)
setMode("fullscreen")
setPipPosition("top-right")
setPipScale(0.3)
setLibraries([])
setLibraryId("")
setAvailableAssets([])
setAssetError("")
setLoadingLibs(true)
let cancelled = false
getAssetLibraries("video")
.then((libs) => {
if (cancelled) return
const list = Array.isArray(libs) ? libs : []
setLibraries(list)
if (list.length > 0) setLibraryId(list[0].id)
})
.catch(() => {
if (!cancelled) setAssetError("素材库加载失败,请重试")
})
.finally(() => {
if (!cancelled) setLoadingLibs(false)
})
return () => {
cancelled = true
}
}, [open])
/* 选中库后拉取该库视频素材 */
useEffect(() => {
if (!open || !libraryId) return
let cancelled = false
setLoadingAssets(true)
getAssets(libraryId, { page_size: 100 })
.then(({ items }) => {
if (cancelled) return
const list = (Array.isArray(items) ? items : []).filter((a) =>
a.mime_type?.includes("video"),
)
setAvailableAssets(list)
setAssetError("")
})
.catch(() => {
if (!cancelled) {
setAssetError("素材加载失败,请重试")
setAvailableAssets([])
}
})
.finally(() => {
if (!cancelled) setLoadingAssets(false)
})
return () => {
cancelled = true
}
}, [open, libraryId])
if (!open) return null
/** 选择素材(已选素材因 pointer-events:none 不会触发) */
const handleSelectAsset = (asset: AssetItem) => {
if (usedAssetIds.has(asset.id)) return
setSelectedAsset(asset)
}
/** 确认添加一段 B-roll(⑥ 时间取所选句子的估算起止) */
const handleConfirm = () => {
if (!selectedAsset || !selectedSentence) return
const startTime = selectedSentence.startTime
const endTime = Math.max(selectedSentence.endTime, startTime + 0.5)
const segment: BRollSegment = {
id: crypto.randomUUID(),
asset: selectedAsset,
script_segment_index: selectedSentence.index,
start_time: startTime,
end_time: endTime,
mode,
pip_position: pipPosition,
pip_scale: mode === "pip" ? pipScale : 0.3,
}
onConfirm(segment)
// 重置素材/句子选择,保留模式设置便于连续添加
setSelectedAsset(null)
setSelectedSentence(null)
}
const canConfirm = selectedAsset !== null && selectedSentence !== null
return (
<div className="aa-modal-overlay" onClick={onClose}>
<div className="aa-modal aa-modal--wide" onClick={(e) => e.stopPropagation()}>
{/* 头部 */}
<div className="aa-modal__header">
<span className="aa-modal__title">🎞 B-roll</span>
<button type="button" className="aa-modal__close" onClick={onClose}>
</button>
</div>
{/* 主体:左素材 + 右设置 */}
<div className="aa-modal__body">
<div className="aa-broll-modal-body">
{/* 左侧:选库 + 素材网格 */}
<div className="aa-broll-left">
<div className="aa-broll-lib-row">
<select
className="aa-select"
value={libraryId}
onChange={(e) => setLibraryId(e.target.value)}
disabled={loadingLibs || libraries.length === 0}
>
{libraries.length === 0 ? (
<option value="">{loadingLibs ? "素材库加载中…" : "暂无视频素材库"}</option>
) : (
libraries.map((lib) => (
<option key={lib.id} value={lib.id}>
📁 {lib.name}
</option>
))
)}
</select>
</div>
<div className="aa-broll-asset-grid">
{availableAssets.map((asset) => {
const alreadySelected = usedAssetIds.has(asset.id)
const isCurrent = selectedAsset?.id === asset.id
const classNames = [
"aa-broll-asset-thumb",
isCurrent ? "selected" : "",
alreadySelected ? "already-selected" : "",
]
.filter(Boolean)
.join(" ")
return (
<div
key={asset.id}
className={classNames}
onClick={() => handleSelectAsset(asset)}
title={asset.name}
>
{asset.thumbnail_url ? (
<img src={asset.thumbnail_url} alt={asset.name} />
) : (
<div className="aa-broll-asset-placeholder">🎬</div>
)}
<span className="aa-asset-card__name">{asset.name}</span>
</div>
)
})}
{loadingAssets ? (
<div className="aa-empty" style={{ gridColumn: "1 / -1" }}>
<div className="aa-empty__icon"></div>
</div>
) : availableAssets.length === 0 ? (
<div className="aa-empty" style={{ gridColumn: "1 / -1" }}>
<div className="aa-empty__icon">🎬</div>
{assetError || "该素材库暂无视频素材"}
</div>
) : null}
</div>
</div>
{/* 右侧:插入设置 */}
<div className="aa-broll-right">
<div className="aa-broll-settings">
{/* ⑤ 文案句子列表(替代段落索引数字框) */}
<div className="aa-form-field">
<label className="aa-label"></label>
{sentences.length === 0 ? (
<div className="aa-sentence-empty">
&
</div>
) : (
<div className="aa-sentence-list">
{sentences.map((sent) => {
const active = selectedSentence?.index === sent.index
return (
<button
key={sent.index}
type="button"
className={`aa-sentence-item${active ? " active" : ""}`}
onClick={() => setSelectedSentence(sent)}
title={sent.text}
>
<span className="aa-sentence-item__idx">{sent.index + 1}</span>
<span className="aa-sentence-item__text">{sent.text}</span>
{outputDuration > 0 && (
<span className="aa-sentence-item__time">
{sent.startTime.toFixed(1)}-{sent.endTime.toFixed(1)}s
</span>
)}
</button>
)
})}
</div>
)}
</div>
{/* 插入模式 */}
<div className="aa-form-field">
<label className="aa-label"></label>
<div className="aa-broll-mode-toggle">
<button
type="button"
className={`aa-broll-mode-btn${mode === "fullscreen" ? " active" : ""}`}
onClick={() => setMode("fullscreen")}
>
</button>
<button
type="button"
className={`aa-broll-mode-btn${mode === "pip" ? " active" : ""}`}
onClick={() => setMode("pip")}
>
</button>
</div>
</div>
{/* 画中画:四角位置 + 大小 */}
{mode === "pip" && (
<>
<div className="aa-form-field">
<label className="aa-label"></label>
<div className="aa-pip-positions">
{PIP_POSITION_OPTIONS.map((opt) => (
<button
key={opt.value}
type="button"
className={`aa-pip-pos-btn${
pipPosition === opt.value ? " active" : ""
}`}
onClick={() => setPipPosition(opt.value)}
>
{opt.label}
</button>
))}
</div>
</div>
<div className="aa-form-field">
<div className="aa-field-label-row">
<label className="aa-label"></label>
<span style={{ fontSize: 12, color: "#8c8ca1" }}>
{Math.round(pipScale * 100)}%
</span>
</div>
<input
type="range"
min={0.1}
max={0.6}
step={0.05}
value={pipScale}
onChange={(e) => setPipScale(Number(e.target.value))}
style={{ width: "100%" }}
/>
</div>
</>
)}
{/* 当前选择提示(⑥ 自动估算时间在这里展示) */}
<div className="aa-broll-hint">
{selectedAsset && selectedSentence ? (
<>
<div>{selectedAsset.name}</div>
<div>
{selectedSentence.index + 1} · {" "}
{selectedSentence.startTime.toFixed(1)}s -{" "}
{Math.max(
selectedSentence.endTime,
selectedSentence.startTime + 0.5,
).toFixed(1)}
s
</div>
</>
) : (
<div style={{ color: "#8c8ca1" }}>
{!selectedAsset ? "请从左侧选择一段素材" : "请在上方点选对应的文案句子"}
</div>
)}
</div>
</div>
</div>
</div>
{/* 底部:已配置的画面插入列表 */}
<div className="aa-broll-list">
<div className="aa-broll-list__title">{existingSegments.length}</div>
{existingSegments.length === 0 ? (
<div className="aa-empty" style={{ padding: 12 }}>
</div>
) : (
existingSegments.map((seg) => (
<div key={seg.id} className="aa-broll-item">
{seg.asset.thumbnail_url ? (
<img className="aa-broll-item__thumb" src={seg.asset.thumbnail_url} alt="" />
) : (
<div className="aa-broll-item__thumb" />
)}
<div className="aa-broll-item__info">
<div style={{ fontWeight: 500, color: "#1a1a2e" }}>{seg.asset.name}</div>
<div style={{ color: "#8c8ca1", fontSize: 11 }}>
{seg.script_segment_index + 1} · {MODE_LABEL[seg.mode]}
{seg.mode === "pip" ? ` · ${seg.pip_position}` : ""} ·{" "}
{seg.start_time.toFixed(1)}s - {seg.end_time.toFixed(1)}s
</div>
</div>
<button
type="button"
className="aa-broll-item__remove"
title="删除"
onClick={() => onRemove(seg.id)}
>
🗑
</button>
</div>
))
)}
</div>
</div>
{/* 底部按钮 */}
<div className="aa-modal__footer">
<button type="button" className="aa-btn" onClick={onClose}>
</button>
<button
type="button"
className="aa-btn aa-btn--primary"
disabled={!canConfirm}
onClick={handleConfirm}
>
</button>
</div>
</div>
</div>
)
}
export default ModalBRollEditor
@@ -0,0 +1,220 @@
/**
* AI数字人 — 面板5:封面 & 生成
* - 竖屏 9:16 封面预览(从视频截取 / 自定义上传)
* - 分辨率选择(720p / 1080p / 4K
* - 配置汇总卡片(出镜视频/音色/文案/对口型/B-roll/标题/封面)
* - 渐变紫色生成按钮
*
* 注意:v3 已删除"画面插入模式",本面板不包含该选项。
*/
import React, { useRef } from "react"
import type { AiAvatarCoverConfig } from "../types"
interface PanelCoverAndGenerateProps {
coverConfig: AiAvatarCoverConfig
onCoverConfigChange: (partial: Partial<AiAvatarCoverConfig>) => void
resolution: string
onResolutionChange: (r: string) => void
isGenerating: boolean
onGenerate: () => void
/** 智能获取封面(MediaKit 选帧) */
onSmartCover: () => void
smartCoverLoading: boolean
canSmartCover: boolean
/** 配置汇总信息 */
summary: {
videoName: string | null
voiceName: string | null
scriptLength: number
lipsyncStatus: string | null
brollCount: number
hasTitle: boolean
hasCover: boolean
}
}
const RESOLUTION_OPTIONS = [
{ value: "720p", label: "720p(高清)" },
{ value: "1080p", label: "1080p(全高清)" },
{ value: "4k", label: "4K(超清)" },
]
const LIPSYNC_STATUS_LABEL: Record<string, { text: string; cls: string }> = {
idle: { text: "未开始", cls: "aa-status-badge--idle" },
pending: { text: "排队中", cls: "aa-status-badge--pending" },
processing: { text: "生成中", cls: "aa-status-badge--processing" },
completed: { text: "已完成", cls: "aa-status-badge--completed" },
failed: { text: "失败", cls: "aa-status-badge--failed" },
}
const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
coverConfig,
onCoverConfigChange,
resolution,
onResolutionChange,
isGenerating,
onGenerate,
onSmartCover,
smartCoverLoading,
canSmartCover,
summary,
}) => {
const uploadInputRef = useRef<HTMLInputElement>(null)
/** 自定义上传封面 */
const handleUploadClick = () => {
uploadInputRef.current?.click()
}
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0]
if (!file) return
// 本地预览:生成 object URL(实际上传由父级/后端链路处理)
const url = URL.createObjectURL(file)
onCoverConfigChange({ mode: "upload", upload_url: url, thumbnail_url: url })
// 允许重复选择同一文件
e.target.value = ""
}
/** 智能获取封面(调后端 MediaKit 抽帧评分选最佳帧,#1822 */
const handleSmartCover = () => {
onCoverConfigChange({ mode: "auto_frame" })
onSmartCover()
}
const lipsync = summary.lipsyncStatus ? LIPSYNC_STATUS_LABEL[summary.lipsyncStatus] : null
const canGenerate = summary.lipsyncStatus === "completed" && !isGenerating
return (
<div className="aa-cover-generate">
{/* 封面预览(竖屏 9:16 */}
<div className="aa-cover-preview">
{coverConfig.thumbnail_url ? (
<img src={coverConfig.thumbnail_url} alt="封面预览" />
) : (
<span className="aa-cover-preview__placeholder"></span>
)}
</div>
<div className="aa-cover-actions">
<button
type="button"
className={`aa-btn aa-btn--ghost${coverConfig.mode === "auto_frame" ? " active" : ""}`}
onClick={handleSmartCover}
disabled={smartCoverLoading || !canSmartCover}
title={canSmartCover ? "基于对口型成片智能选帧" : "请先完成对口型生成"}
>
{smartCoverLoading ? "⏳ 智能选帧中…" : "🎬 智能获取封面"}
</button>
<button
type="button"
className={`aa-btn aa-btn--ghost${coverConfig.mode === "upload" ? " active" : ""}`}
onClick={handleUploadClick}
>
📷
</button>
<input
ref={uploadInputRef}
type="file"
accept="image/*"
style={{ display: "none" }}
onChange={handleFileChange}
/>
</div>
{/* 分辨率选择 */}
<div className="aa-form-field">
<label className="aa-label"></label>
<select
className="aa-select"
value={resolution}
onChange={(e) => onResolutionChange(e.target.value)}
>
{RESOLUTION_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
{/* 配置汇总 */}
<div className="aa-generate-section">
<div className="aa-config-summary">
<div className="aa-config-summary__row">
<span></span>
{summary.videoName ? (
<span className="aa-config-summary__value">{summary.videoName}</span>
) : (
<span className="aa-config-summary__empty"></span>
)}
</div>
<div className="aa-config-summary__row">
<span></span>
{summary.voiceName ? (
<span className="aa-config-summary__value">{summary.voiceName}</span>
) : (
<span className="aa-config-summary__empty"></span>
)}
</div>
<div className="aa-config-summary__row">
<span></span>
{summary.scriptLength > 0 ? (
<span className="aa-config-summary__value">{summary.scriptLength} </span>
) : (
<span className="aa-config-summary__empty"></span>
)}
</div>
<div className="aa-config-summary__row">
<span></span>
{lipsync ? (
<span className={`aa-status-badge ${lipsync.cls}`}>{lipsync.text}</span>
) : (
<span className="aa-config-summary__empty"></span>
)}
</div>
<div className="aa-config-summary__row">
<span>B-roll </span>
<span className="aa-config-summary__value">
{summary.brollCount > 0 ? `${summary.brollCount}` : "无"}
</span>
</div>
<div className="aa-config-summary__row">
<span></span>
{summary.hasTitle ? (
<span className="aa-config-summary__value"></span>
) : (
<span className="aa-config-summary__empty"></span>
)}
</div>
<div className="aa-config-summary__row">
<span></span>
{summary.hasCover ? (
<span className="aa-config-summary__value"></span>
) : (
<span className="aa-config-summary__empty"></span>
)}
</div>
</div>
{/* 生成按钮 */}
<button
type="button"
className="aa-btn aa-btn--generate aa-btn--full"
disabled={!canGenerate}
onClick={onGenerate}
>
{isGenerating ? "⏳ 生成中..." : "🚀 开始生成视频"}
</button>
{summary.lipsyncStatus !== "completed" && !isGenerating && (
<div style={{ marginTop: 8, fontSize: 11, color: "#8c8ca1", textAlign: "center" }}>
</div>
)}
</div>
</div>
)
}
export default PanelCoverAndGenerate
@@ -0,0 +1,268 @@
/**
* AI数字人 — 对口型预览面板(步骤2用)
* B-roll 画面插入 + 对口型视频预览 + 生成/重新生成按钮
* v3.1: 预览容器按 1/2 缩放、标题实时叠加预览
*/
import React, { useRef } from "react"
import type { LipsyncJob, BRollSegment, AiAvatarTitleConfig } from "../types"
interface PanelLipsyncPreviewProps {
lipsyncJob: LipsyncJob | null
onGenerateLipsync: () => void
bRollSegments: BRollSegment[]
onOpenBRollModal: () => void
onRemoveBRoll: (id: string) => void
/** 标题配置(实时叠加预览用) */
titleConfig?: AiAvatarTitleConfig
/** 标题位置变更回调(拖拽结束时调用) */
onTitlePositionChange?: (pos: { pos_x: number; pos_y: number }) => void
}
const BROLL_MODE_LABEL: Record<BRollSegment["mode"], string> = {
fullscreen: "全屏",
pip: "画中画",
}
function formatTime(seconds: number): string {
const m = Math.floor(seconds / 60)
const s = Math.round(seconds % 60)
return `${m}:${s.toString().padStart(2, "0")}`
}
export function PanelLipsyncPreview({
lipsyncJob,
onGenerateLipsync,
bRollSegments,
onOpenBRollModal,
onRemoveBRoll,
titleConfig,
onTitlePositionChange,
}: PanelLipsyncPreviewProps) {
const titleDragRef = useRef<HTMLDivElement>(null)
const draggingTitleRef = useRef(false)
const previewContainerRef = useRef<HTMLDivElement>(null)
const isGenerating = lipsyncJob?.status === "pending" || lipsyncJob?.status === "processing"
const isDone = lipsyncJob?.status === "completed"
const isFailed = lipsyncJob?.status === "failed"
const statusText =
lipsyncJob?.status === "processing"
? "对口型生成中…"
: lipsyncJob?.status === "pending"
? "排队中…"
: "对口型生成中…"
/** 标题叠加样式 */
const titleOverlayStyle: React.CSSProperties | null = titleConfig?.title
? {
position: "absolute",
left: "50%",
transform: "translateX(-50%)",
color: titleConfig.color || "#ffffff",
fontFamily: titleConfig.font || "思源黑体",
fontSize: `${(titleConfig.size || 36) * 0.55}px`, // 预览等比缩
fontWeight: titleConfig.bold ? 700 : 400,
fontStyle: titleConfig.italic ? "italic" : "normal",
textAlign: "center",
width: "90%",
padding: "4px 8px",
textShadow: titleConfig.shadow ? "0 2px 4px rgba(0,0,0,0.8)" : undefined,
WebkitTextStroke: titleConfig.stroke ? "1.5px #000" : undefined,
...(titleConfig.position === "top"
? { top: 8 }
: titleConfig.position === "bottom"
? { bottom: 8 }
: { top: "50%", transform: "translateX(-50%) translateY(-50%)" }),
}
: null
const handleTitlePointerDown = (e: React.PointerEvent<HTMLDivElement>) => {
if (!onTitlePositionChange || !previewContainerRef.current) return
e.preventDefault()
e.stopPropagation()
;(e.target as Element).setPointerCapture(e.pointerId)
draggingTitleRef.current = true
;(e.currentTarget as HTMLDivElement).style.cursor = "grabbing"
}
const handleTitlePointerMove = (e: React.PointerEvent<HTMLDivElement>) => {
if (!draggingTitleRef.current || !previewContainerRef.current) return
e.preventDefault()
e.stopPropagation()
if (titleDragRef.current) {
const rect = previewContainerRef.current.getBoundingClientRect()
const relX = Math.max(0, Math.min(rect.width, e.clientX - rect.left))
const relY = Math.max(0, Math.min(rect.height, e.clientY - rect.top))
const xpct = (relX / rect.width) * 100
const ypct = (relY / rect.height) * 100
titleDragRef.current.style.left = `${xpct}%`
titleDragRef.current.style.top = `${ypct}%`
}
}
const handleTitlePointerUp = (e: React.PointerEvent<HTMLDivElement>) => {
if (!draggingTitleRef.current) return
draggingTitleRef.current = false
if (onTitlePositionChange && previewContainerRef.current) {
const rect = previewContainerRef.current.getBoundingClientRect()
const relX = Math.max(0, Math.min(rect.width, e.clientX - rect.left))
const relY = Math.max(0, Math.min(rect.height, e.clientY - rect.top))
onTitlePositionChange({ pos_x: relX, pos_y: relY })
}
;(e.currentTarget as HTMLDivElement).style.cursor = "grab"
}
return (
<div className="aa-script-lipsync">
{/* ── B-roll 画面 ── */}
<div className="aa-lipsync-section">
<div className="aa-lipsync-section__title">
<span style={{ marginRight: 8 }}>🎞 </span>
{bRollSegments.length > 0 && (
<span className="aa-broll-badge">🎬 {bRollSegments.length} </span>
)}
</div>
<div className="aa-lipsync-actions">
<button
type="button"
className="aa-btn aa-btn--primary aa-btn--full"
onClick={onOpenBRollModal}
>
🎬
</button>
</div>
{bRollSegments.length > 0 && (
<div className="aa-broll-list">
{bRollSegments.map((seg) => (
<div key={seg.id} className="aa-broll-item">
{seg.asset.thumbnail_url || seg.asset.file_url ? (
<img
className="aa-broll-item__thumb"
src={seg.asset.thumbnail_url || seg.asset.file_url}
alt={seg.asset.name}
/>
) : (
<span className="aa-broll-item__thumb" style={{ padding: "6px 4px" }}>
🎬
</span>
)}
<div className="aa-broll-item__info">
<div
style={{
overflow: "hidden",
textOverflow: "ellipsis",
whiteSpace: "nowrap",
}}
>
{seg.asset.name}
</div>
<div style={{ fontSize: 11, color: "#8c8ca1", marginTop: 2 }}>
{BROLL_MODE_LABEL[seg.mode]} · {formatTime(seg.start_time)}-
{formatTime(seg.end_time)}
</div>
</div>
<button
type="button"
className="aa-broll-item__remove"
title="删除"
onClick={() => onRemoveBRoll(seg.id)}
>
</button>
</div>
))}
</div>
)}
</div>
{/* ── 对口型预览(v3.1: 缩放1/2 + 标题叠加) ─ */}
<div className="aa-lipsync-section">
<div className="aa-lipsync-section__title"></div>
<div className="aa-lipsync-preview" ref={previewContainerRef}>
{isDone && lipsyncJob?.output_video_url ? (
<div style={{ position: "relative", width: "100%", height: "100%" }}>
<video src={lipsyncJob.output_video_url} controls />
{titleOverlayStyle && (
<div
ref={titleDragRef}
style={{
...titleOverlayStyle,
cursor: onTitlePositionChange ? "grab" : "default",
pointerEvents: onTitlePositionChange ? "auto" : "none",
}}
onPointerDown={handleTitlePointerDown}
onPointerMove={handleTitlePointerMove}
onPointerUp={handleTitlePointerUp}
onPointerCancel={handleTitlePointerUp}
>
{titleConfig!.title.split(/[/]/).map((part, i) => (
<span key={i}>
{i > 0 && <br />}
{part}
</span>
))}
</div>
)}
</div>
) : isGenerating ? (
<div style={{ width: "80%", textAlign: "center", color: "#fff" }}>
<div style={{ fontSize: 13, marginBottom: 8 }}>
{statusText} {Math.round(lipsyncJob?.progress ?? 0)}%
</div>
<div className="aa-progress">
<div
className="aa-progress__bar"
style={{ width: `${lipsyncJob?.progress ?? 0}%` }}
/>
</div>
</div>
) : (
<div className="aa-video-preview__placeholder">
{isFailed ? (
<>
<div style={{ fontSize: 28, marginBottom: 8 }}></div>
<div></div>
{lipsyncJob?.error_message && (
<div
style={{
fontSize: 11,
marginTop: 4,
color: "#fca5a5",
}}
>
{lipsyncJob.error_message}
</div>
)}
</>
) : (
"生成对口型视频后在此预览"
)}
</div>
)}
</div>
<div className="aa-lipsync-actions">
{isDone ? (
<button type="button" className="aa-btn aa-btn--full" onClick={onGenerateLipsync}>
🔄
</button>
) : isGenerating ? (
<button type="button" className="aa-btn aa-btn--full" disabled>
</button>
) : (
<button
type="button"
className="aa-btn aa-btn--primary aa-btn--full"
onClick={onGenerateLipsync}
>
🎬
</button>
)}
</div>
</div>
</div>
)
}
export default PanelLipsyncPreview
+67
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@@ -0,0 +1,67 @@
/**
* AI数字人 — 文案面板(步骤1用)
* 文案库选择 / 手动输入 + 字数统计
*/
import { useState } from "react"
interface PanelScriptProps {
scriptText: string
onScriptTextChange: (text: string) => void
onOpenScriptModal: () => void
}
type ScriptTab = "library" | "manual"
export function PanelScript({
scriptText,
onScriptTextChange,
onOpenScriptModal,
}: PanelScriptProps) {
const [scriptTab, setScriptTab] = useState<ScriptTab>("library")
return (
<div className="aa-script-lipsync">
{/* ── Tab 切换 ── */}
<div className="aa-script-tabs">
<button
type="button"
className={`aa-script-tab${scriptTab === "library" ? " active" : ""}`}
onClick={() => setScriptTab("library")}
>
</button>
<button
type="button"
className={`aa-script-tab${scriptTab === "manual" ? " active" : ""}`}
onClick={() => setScriptTab("manual")}
>
</button>
</div>
{scriptTab === "library" && (
<button
type="button"
className="aa-btn aa-btn--ghost aa-btn--full"
style={{ marginBottom: 8 }}
onClick={onOpenScriptModal}
>
📚
</button>
)}
<textarea
className="aa-textarea"
value={scriptText}
readOnly={scriptTab === "library"}
placeholder={
scriptTab === "library" ? "点击上方按钮,从文案库选择文案…" : "请输入数字人口播文案…"
}
onChange={(e) => onScriptTextChange(e.target.value)}
/>
<div className="aa-char-count">{scriptText.length} </div>
</div>
)
}
export default PanelScript
@@ -0,0 +1,134 @@
/**
* AI数字人 — 面板4:标题配置
*
* 关键:直接复用智能剪辑(generate)模块的 TitleStylePanel 标题样式面板,
* 不重新开发标题预设/字体/位置等样式能力。本组件只负责:
* - 主标题文字输入
* - AiAvatarTitleConfig ↔ TitleSettings 的双向适配
* - 自动生成字幕开关
*/
import React, { useMemo, useState, useEffect } from "react"
import { Input } from "antd"
import TitleStylePanel from "@/pages/generate/components/title/TitleStylePanel"
import TitleLibraryAutoComplete from "@/pages/generate/components/title/TitleLibraryAutoComplete"
import type { TitleOption } from "@/pages/generate/components/title/TitleLibraryAutoComplete"
import type { TitleSettings } from "@/pages/generate/types"
import { POSITION_OPTIONS, FONT_OPTIONS, TITLE_PRESETS } from "@/pages/generate/constants"
import type { AiAvatarTitleConfig } from "../types"
import { getTitles } from "@/api/titles"
const { TextArea } = Input
interface PanelTitleConfigProps {
titleConfig: AiAvatarTitleConfig
onUpdate: (partial: Partial<AiAvatarTitleConfig>) => void
}
const PanelTitleConfig: React.FC<PanelTitleConfigProps> = ({ titleConfig, onUpdate }) => {
/** TitleStylePanel 内部高亮的预设 key(面板本地状态) */
const [activePreset, setActivePreset] = useState<string | null>(null)
/** 标题库选项(复用智能剪辑的标题库) */
const [titleOptions, setTitleOptions] = useState<TitleOption[]>([])
useEffect(() => {
getTitles()
.then((items) => setTitleOptions(items.map((t) => ({ label: t.content, value: t.content }))))
.catch(() => setTitleOptions([]))
}, [])
/** AiAvatarTitleConfig → TitleSettings(补齐 aiAutoSelect / 自由坐标字段) */
const titleSettings: TitleSettings = useMemo(
() => ({
aiAutoSelect: false,
title: titleConfig.title,
position: titleConfig.position,
font: titleConfig.font,
size: titleConfig.size,
bold: titleConfig.bold,
italic: titleConfig.italic,
stroke: titleConfig.stroke,
shadow: titleConfig.shadow,
color: titleConfig.color,
posX: null,
posY: null,
}),
[titleConfig],
)
/** 应用预设:与智能剪辑一致,只覆盖 color/bold/italic/stroke/shadow,不改变字号 */
const handleApplyPreset = (presetKey: string) => {
const preset = TITLE_PRESETS.find((p) => p.key === presetKey)
if (!preset) return
setActivePreset(presetKey)
onUpdate({
color: preset.style.color,
bold: preset.style.bold,
italic: preset.style.italic,
stroke: preset.style.stroke,
shadow: preset.style.shadow,
})
}
return (
<div className="aa-title-config">
{/* 主标题输入 — TextArea 多行 + 标题库选择 */}
<div className="aa-form-field">
<label className="aa-label"></label>
<TextArea
className="aa-title-input"
placeholder="输入视频标题(支持 / 分行)"
value={titleConfig.title}
autoSize={{ minRows: 2, maxRows: 4 }}
maxLength={200}
onChange={(e) => onUpdate({ title: e.target.value })}
style={{ fontSize: 15 }}
/>
<div style={{ marginTop: 8, display: "flex", alignItems: "center", gap: 8 }}>
<span style={{ fontSize: 12, color: "#8c8ca1", whiteSpace: "nowrap" }}>📚 </span>
<TitleLibraryAutoComplete
key={titleConfig.title}
placeholder="选择标题填入上方"
value=""
onChange={(val) => {
if (val) onUpdate({ title: val })
}}
options={titleOptions}
maxLength={200}
style={{ flex: 1 }}
/>
</div>
</div>
{/* 标题样式:直接复用智能剪辑 TitleStylePanel(位置/字体/字号/样式/预设) */}
<TitleStylePanel
settings={titleSettings}
onUpdatePosition={(position) => onUpdate({ position })}
onUpdateFont={(font) => onUpdate({ font })}
onUpdateSize={(size) => onUpdate({ size: Math.min(128, Math.max(16, size)) })}
onToggleBold={() => onUpdate({ bold: !titleConfig.bold })}
onToggleItalic={() => onUpdate({ italic: !titleConfig.italic })}
onToggleStroke={() => onUpdate({ stroke: !titleConfig.stroke })}
onToggleShadow={() => onUpdate({ shadow: !titleConfig.shadow })}
onApplyPreset={handleApplyPreset}
activePreset={activePreset}
titlePresets={TITLE_PRESETS}
POSITION_OPTIONS={POSITION_OPTIONS}
FONT_OPTIONS={FONT_OPTIONS}
/>
{/* 自动生成字幕 */}
<div className="aa-subtitle-toggle">
<label className="aa-checkbox-row">
<input
type="checkbox"
checked={titleConfig.auto_subtitle}
onChange={(e) => onUpdate({ auto_subtitle: e.target.checked })}
/>
</label>
</div>
</div>
)
}
export default PanelTitleConfig
@@ -0,0 +1,124 @@
/**
* AI数字人 — 出镜视频选择面板
* - 未选视频:虚线上传区,点击打开素材库弹窗
* - 已选视频:竖屏 9:16 预览播放器 + 视频信息卡片 + 移除按钮
*/
import type { AssetItem } from "@/api/assets"
import type { AiAvatarTitleConfig } from "../types"
import { getFontFamily } from "@/pages/generate/constants"
export interface PanelVideoSelectorProps {
selectedVideo: AssetItem | null
/** 触发打开素材库弹窗 */
onSelectVideo: () => void
onRemoveVideo: () => void
titleConfig?: AiAvatarTitleConfig
}
/** 格式化时长(秒 → mm:ss */
function formatDuration(seconds?: number): string {
if (typeof seconds !== "number" || !Number.isFinite(seconds) || seconds <= 0) {
return "00:00"
}
return `${Math.floor(seconds / 60)}:${String(Math.floor(seconds % 60)).padStart(2, "0")}`
}
export function PanelVideoSelector({
selectedVideo,
onSelectVideo,
onRemoveVideo,
titleConfig,
}: PanelVideoSelectorProps) {
/* 未选视频:虚线上传区,点击打开素材库弹窗 */
if (!selectedVideo) {
return (
<div
className="aa-upload-zone"
role="button"
tabIndex={0}
onClick={onSelectVideo}
onKeyDown={(e) => {
if (e.key === "Enter" || e.key === " ") {
e.preventDefault()
onSelectVideo()
}
}}
>
<div className="aa-upload-zone__icon">🎬</div>
<div className="aa-upload-zone__text"></div>
</div>
)
}
const width = selectedVideo.metadata?.width
const height = selectedVideo.metadata?.height
const duration = selectedVideo.duration ?? selectedVideo.metadata?.duration
const fileUrl = selectedVideo.file_url ?? ""
return (
<div>
{/* 竖屏 9:16 视频预览播放器 + 标题实时预览 */}
<div className="aa-video-preview" style={{ position: "relative" }}>
{fileUrl ? (
<video src={fileUrl} poster={selectedVideo.thumbnail_url} controls playsInline />
) : (
<div className="aa-video-preview__placeholder"></div>
)}
{titleConfig?.title && (
<div
style={{
position: "absolute",
left: "50%",
transform: "translateX(-50%)",
...(titleConfig.position === "top"
? { top: "10%" }
: titleConfig.position === "bottom"
? { bottom: "10%" }
: { top: "50%", transform: "translate(-50%, -50%)" }),
fontSize: Math.max(titleConfig.size, 32),
fontFamily: getFontFamily(titleConfig.font),
color: titleConfig.color,
fontWeight: titleConfig.bold ? 700 : 400,
fontStyle: titleConfig.italic ? "italic" : "normal",
textShadow: "0 2px 4px rgba(0,0,0,0.5)",
WebkitTextStroke: "2px #000",
pointerEvents: "none",
zIndex: 10,
maxWidth: "90%",
textAlign: "center",
whiteSpace: "pre-wrap",
lineHeight: 1.3,
}}
>
{titleConfig.title}
</div>
)}
</div>
{/* 视频信息卡片:文件名 / 时长 / 分辨率 */}
<div className="aa-video-info">
<div className="aa-video-info__row">
<span></span>
<span title={selectedVideo.name}>{selectedVideo.name}</span>
</div>
<div className="aa-video-info__row">
<span></span>
<span>{formatDuration(duration)}</span>
</div>
<div className="aa-video-info__row">
<span></span>
<span>{width && height ? `${width}×${height}` : "—"}</span>
</div>
</div>
<button
type="button"
className="aa-btn aa-btn--danger aa-btn--full"
style={{ marginTop: 10 }}
onClick={onRemoveVideo}
>
</button>
</div>
)
}
@@ -0,0 +1,334 @@
/**
* AI数字人 — 配音库面板(面板3)
* 音色来源切换(系统预设 / 我的音色)、音色选择与试听、情绪/语速/语言参数
*/
import { useEffect, useRef, useState } from "react"
import { message } from "antd"
import { fetchVoices } from "@/api/voices/voices"
import { previewTts } from "@/api/tts"
import { normalizeEmotion } from "../utils/contract"
import type { UnifiedVoiceItem } from "@/api/voices/types"
import {
type VoiceSource,
type VoiceEmotion,
type VoiceLanguage,
VOICE_EMOTION_OPTIONS,
VOICE_LANGUAGE_OPTIONS,
} from "../types"
interface PanelVoiceSelectorProps {
voiceSource: VoiceSource
onVoiceSourceChange: (source: VoiceSource) => void
selectedVoice: UnifiedVoiceItem | null
onSelectVoice: (voice: UnifiedVoiceItem) => void
emotion: VoiceEmotion
onEmotionChange: (e: VoiceEmotion) => void
speed: number
onSpeedChange: (s: number) => void
language: VoiceLanguage
onLanguageChange: (l: VoiceLanguage) => void
}
export function PanelVoiceSelector({
voiceSource,
onVoiceSourceChange,
selectedVoice,
onSelectVoice,
emotion,
onEmotionChange,
speed,
onSpeedChange,
language,
onLanguageChange,
}: PanelVoiceSelectorProps) {
const [voices, setVoices] = useState<UnifiedVoiceItem[]>([])
const [loading, setLoading] = useState(false)
const [error, setError] = useState<string | null>(null)
const [previewingId, setPreviewingId] = useState<string | null>(null)
const audioRef = useRef<HTMLAudioElement | null>(null)
/** 克隆音色试听合成缓存:voiceId -> url,对齐配音库 useAudioPlayer */
const previewCacheRef = useRef<Map<string, string>>(new Map())
const VOICE_PREVIEW_TEXT = "你好呀,欢迎使用小虾智剪,这是我的配音效果,希望你喜欢。"
/* 切换来源时重新获取音色列表 */
useEffect(() => {
let cancelled = false
const loadVoices = async () => {
setLoading(true)
setError(null)
try {
const res = await fetchVoices({ type: voiceSource })
if (!cancelled) setVoices(Array.isArray(res?.items) ? res.items : [])
} catch (err) {
if (!cancelled) setError(err instanceof Error ? err.message : "音色加载失败")
} finally {
if (!cancelled) setLoading(false)
}
}
loadVoices()
return () => {
cancelled = true
}
}, [voiceSource])
/* 卸载时停止试听 */
useEffect(() => {
return () => {
if (audioRef.current) {
audioRef.current.pause()
audioRef.current = null
}
}
}, [])
const stopPreview = () => {
if (audioRef.current) {
audioRef.current.pause()
audioRef.current = null
}
setPreviewingId(null)
}
const NO_PREVIEW_TIP = "该音色暂无试听音频,请先用此音色生成一段配音后再试听"
/** 用指定 URL 真实播放(抽取公共) */
const playAudioUrl = (voiceId: string, url: string) => {
// 临时兼容:后端 /tts/preview 返回 HTTP URLstaging 是 HTTPSMixed Content 会阻止加载
// OSS 同时支持 HTTP/HTTPS,直接替换协议即可
const safeUrl = url.startsWith("http://") ? url.replace("http://", "https://") : url
if (audioRef.current) {
audioRef.current.pause()
audioRef.current = null
}
const audio = new Audio(safeUrl)
audioRef.current = audio
setPreviewingId(voiceId)
audio.onended = () => {
if (audioRef.current === audio) {
audioRef.current = null
setPreviewingId(null)
}
}
audio.onerror = () => {
if (audioRef.current === audio) {
audioRef.current = null
setPreviewingId(null)
message.error("试听音频加载失败")
}
}
void audio.play().catch(() => {
setPreviewingId(null)
message.error("试听播放失败")
})
}
const handlePreview = async (voice: UnifiedVoiceItem) => {
/* 再次点击当前试听音色 → 停止 */
if (previewingId === voice.id) {
stopPreview()
return
}
/* 克隆音色:preview_url/audio_url 通常为空,需走 POST /tts/preview
* 现合成示例文案再播放,对齐配音库 useAudioPlayer 行为 */
if (voice.type === "clone") {
const cached = previewCacheRef.current.get(voice.voice_clone_profile_id || voice.id)
if (cached) {
playAudioUrl(voice.id, cached)
return
}
const targetId = voice.voice_clone_profile_id || voice.id
// DEBUG: 打印请求参数,帮助定位 /tts/preview 失败原因
console.log("[AI数字人-克隆试听] previewTts 请求:", {
voice_id: targetId,
voice_name: voice.name,
voice_type: voice.type,
voice_clone_profile_id: voice.voice_clone_profile_id,
voice_id_field: voice.voice_id,
})
setPreviewingId(voice.id)
try {
const res = await previewTts({
text: VOICE_PREVIEW_TEXT,
voice_id: targetId,
speed: speed, // 透传用户选择的语速(#1822)
emotion: normalizeEmotion(emotion), // 情绪中文→英文枚举
})
console.log("[AI数字人-克隆试听] previewTts 响应:", {
audio_url: res.audio_url?.substring(0, 80),
duration: res.duration,
})
if (!res.audio_url) {
setPreviewingId(null)
message.error("合成试听失败:未返回音频")
return
}
previewCacheRef.current.set(targetId, res.audio_url)
playAudioUrl(voice.id, res.audio_url)
} catch (err) {
setPreviewingId(null)
// DEBUG: 打印详细错误信息
console.error("[AI数字人-克隆试听] previewTts 失败:", {
status: (err as { response?: { status?: number } })?.response?.status,
data: (err as { response?: { data?: unknown } })?.response?.data,
message: err instanceof Error ? err.message : String(err),
})
// apiClient 拦截器已统一 toast
}
return
}
/* 系统预设音色:沿用 preview_url/audio_url 直链播放 */
const url = voice.preview_url || voice.audio_url
if (!url) {
message.warning(NO_PREVIEW_TIP)
return
}
playAudioUrl(voice.id, url)
}
const handleSpeedChange = (value: string) => {
const parsed = parseFloat(value)
if (Number.isNaN(parsed)) return
const clamped = Math.min(2.0, Math.max(0.5, parsed))
onSpeedChange(clamped)
}
return (
<div className="aa-voice-selector">
{/* 音色来源切换 */}
<div className="aa-voice-source-toggle">
<button
type="button"
className={`aa-voice-source-btn${voiceSource === "preset" ? " active" : ""}`}
onClick={() => onVoiceSourceChange("preset")}
>
</button>
<button
type="button"
className={`aa-voice-source-btn${voiceSource === "clone" ? " active" : ""}`}
onClick={() => onVoiceSourceChange("clone")}
>
</button>
</div>
{/* 音色列表 */}
{loading ? (
<div className="aa-empty">
<div className="aa-empty__icon"></div>
<div></div>
</div>
) : error ? (
<div className="aa-empty">
<div className="aa-empty__icon"></div>
<div>{error}</div>
</div>
) : voices.length === 0 ? (
<div className="aa-empty">
<div className="aa-empty__icon">🎙</div>
<div>{voiceSource === "clone" ? "还没有克隆音色" : "暂无预置音色"}</div>
</div>
) : (
<div className="aa-voice-list">
{voices.map((voice) => {
const selected = selectedVoice?.id === voice.id
const previewUrl = voice.preview_url || voice.audio_url
return (
<div
key={voice.id}
className={`aa-voice-card${selected ? " selected" : ""}`}
onClick={() => onSelectVoice(voice)}
>
<span className="aa-voice-card__radio" />
<div className="aa-voice-card__info">
<div className="aa-voice-card__name">{voice.name}</div>
{voice.description && (
<div className="aa-voice-card__desc">{voice.description}</div>
)}
</div>
<button
type="button"
className="aa-voice-card__preview"
title={previewingId === voice.id ? "停止试听" : "试听"}
disabled={voice.type === "preset" && !previewUrl}
onClick={(e) => {
e.stopPropagation()
handlePreview(voice)
}}
>
{previewingId === voice.id ? "⏸" : "▶"}
</button>
</div>
)
})}
</div>
)}
{/* 我的音色:克隆入口 */}
{voiceSource === "clone" && (
<div className="aa-clone-entry">
<a href="/app/voice-clone">+ </a>
</div>
)}
{/* 配音参数 */}
<div className="aa-voice-params">
<div className="aa-voice-params__row">
<div className="aa-voice-params__field">
<label className="aa-label" htmlFor="aa-voice-emotion">
</label>
<select
id="aa-voice-emotion"
className="aa-select"
value={emotion}
onChange={(e) => onEmotionChange(e.target.value as VoiceEmotion)}
>
{VOICE_EMOTION_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
<div className="aa-voice-params__field">
<label className="aa-label" htmlFor="aa-voice-language">
</label>
<select
id="aa-voice-language"
className="aa-select"
value={language}
onChange={(e) => onLanguageChange(e.target.value as VoiceLanguage)}
>
{VOICE_LANGUAGE_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
</div>
<div className="aa-voice-params__field">
<label className="aa-label" htmlFor="aa-voice-speed">
{speed.toFixed(1)}x
</label>
<input
id="aa-voice-speed"
type="number"
className="aa-input"
min={0.5}
max={2.0}
step={0.1}
value={speed}
onChange={(e) => handleSpeedChange(e.target.value)}
/>
</div>
</div>
</div>
)
}
export default PanelVoiceSelector
@@ -0,0 +1,97 @@
/**
* AI数字人 — 标题库选择弹窗
* 复用智能剪辑的标题库 API,选择标题后填入输入框
*/
import React, { useEffect, useState } from "react"
import { getTitles } from "@/api/titles"
import type { TitleItem } from "@/api/titles/types"
interface TitleLibraryModalProps {
open: boolean
onClose: () => void
onSelect: (title: string) => void
}
const TitleLibraryModal: React.FC<TitleLibraryModalProps> = ({ open, onClose, onSelect }) => {
const [titles, setTitles] = useState<TitleItem[]>([])
const [loading, setLoading] = useState(false)
const [search, setSearch] = useState("")
useEffect(() => {
if (!open) return
setLoading(true)
getTitles()
.then((items) => setTitles(items))
.catch(() => setTitles([]))
.finally(() => setLoading(false))
}, [open])
const filtered = titles.filter(
(t) => !search || t.content.toLowerCase().includes(search.toLowerCase()),
)
if (!open) return null
return (
<div className="aa-modal-overlay" onClick={onClose}>
<div className="aa-modal" onClick={(e) => e.stopPropagation()} style={{ maxWidth: 600 }}>
<div className="aa-modal__header">
<span className="aa-modal__title"></span>
<button className="aa-modal__close" onClick={onClose}></button>
</div>
<div className="aa-modal__body">
<div style={{ marginBottom: 12 }}>
<input
className="aa-input"
placeholder="搜索标题..."
value={search}
onChange={(e) => setSearch(e.target.value)}
/>
</div>
{loading ? (
<div style={{ textAlign: "center", padding: 40, color: "#8c8ca1" }}>...</div>
) : filtered.length === 0 ? (
<div style={{ textAlign: "center", padding: 40, color: "#8c8ca1" }}>
</div>
) : (
<div style={{ maxHeight: 400, overflowY: "auto" }}>
{filtered.map((t) => (
<div
key={t.id}
style={{
padding: "12px 16px",
marginBottom: 8,
background: "#f8f8fc",
borderRadius: 8,
cursor: "pointer",
transition: "background 0.2s",
}}
onMouseEnter={(e) => (e.currentTarget.style.background = "#eef0ff")}
onMouseLeave={(e) => (e.currentTarget.style.background = "#f8f8fc")}
onClick={() => {
onSelect(t.content)
onClose()
}}
>
<div style={{ fontSize: 14, color: "#1a1a2e", marginBottom: 4 }}>{t.content}</div>
<div style={{ fontSize: 12, color: "#8c8ca1" }}>
{t.word_count ?? t.content.length} ·{" "}
{t.created_at ? new Date(t.created_at).toLocaleDateString() : ""}
</div>
</div>
))}
</div>
)}
</div>
<div className="aa-modal__footer">
<button className="aa-btn" onClick={onClose}>
</button>
</div>
</div>
</div>
)
}
export default TitleLibraryModal
@@ -0,0 +1,141 @@
/**
* AI数字人 — 页面全局状态管理 hook(v3)
*/
import { useState, useCallback } from "react"
import type { AssetItem } from "@/api/assets"
import type { UnifiedVoiceItem } from "@/api/voices/types"
import {
type VoiceSource,
type VoiceEmotion,
type VoiceLanguage,
type Script,
type LipsyncJob,
type BRollSegment,
type AiAvatarTitleConfig,
type AiAvatarCoverConfig,
DEFAULT_TITLE_CONFIG,
DEFAULT_COVER_CONFIG,
} from "../types"
export function useAiAvatar() {
/* ── 面板1:出镜视频 ── */
const [selectedVideo, setSelectedVideo] = useState<AssetItem | null>(null)
const [showAssetPicker, setShowAssetPicker] = useState(false)
/* ── 面板2:配音库 ── */
const [voiceSource, setVoiceSource] = useState<VoiceSource>("preset")
const [selectedVoice, setSelectedVoice] = useState<UnifiedVoiceItem | null>(null)
const [emotion, setEmotion] = useState<VoiceEmotion>("natural")
const [speed, setSpeed] = useState(1.0)
const [language, setLanguage] = useState<VoiceLanguage>("mandarin")
/* ── 面板3:文案 & 对口型 ── */
const [script, setScript] = useState<Script | null>(null)
const [scriptText, setScriptText] = useState("")
const [lipsyncJob, setLipsyncJob] = useState<LipsyncJob | null>(null)
const [showScriptModal, setShowScriptModal] = useState(false)
const [showBRollModal, setShowBRollModal] = useState(false)
/* ── 面板3.5B-roll ── */
const [bRollSegments, setBRollSegments] = useState<BRollSegment[]>([])
/* ── 面板4:标题配置 ── */
const [titleConfig, setTitleConfig] = useState<AiAvatarTitleConfig>(DEFAULT_TITLE_CONFIG)
/* ── 面板5:封面 & 生成 ── */
const [coverConfig, setCoverConfig] = useState<AiAvatarCoverConfig>(DEFAULT_COVER_CONFIG)
const [resolution, setResolution] = useState("1080p")
const [isGenerating, setIsGenerating] = useState(false)
/* ── Actions ── */
const selectVideo = useCallback((asset: AssetItem) => {
setSelectedVideo(asset)
setShowAssetPicker(false)
}, [])
const removeVideo = useCallback(() => {
setSelectedVideo(null)
}, [])
const selectScript = useCallback((s: Script) => {
setScript(s)
setScriptText(s.content)
setShowScriptModal(false)
}, [])
const addBRollSegment = useCallback((segment: BRollSegment) => {
setBRollSegments((prev) => [...prev, segment])
}, [])
const removeBRollSegment = useCallback((id: string) => {
setBRollSegments((prev) => prev.filter((s) => s.id !== id))
}, [])
const updateTitleConfig = useCallback((partial: Partial<AiAvatarTitleConfig>) => {
setTitleConfig((prev) => ({ ...prev, ...partial }))
}, [])
const reset = useCallback(() => {
setSelectedVideo(null)
setSelectedVoice(null)
setScript(null)
setScriptText("")
setLipsyncJob(null)
setBRollSegments([])
setTitleConfig(DEFAULT_TITLE_CONFIG)
setCoverConfig(DEFAULT_COVER_CONFIG)
setResolution("1080p")
setIsGenerating(false)
}, [])
return {
// 面板1
selectedVideo,
showAssetPicker,
setShowAssetPicker,
selectVideo,
removeVideo,
// 面板2
voiceSource,
setVoiceSource,
selectedVoice,
setSelectedVoice,
emotion,
setEmotion,
speed,
setSpeed,
language,
setLanguage,
// 面板3
script,
setScript,
scriptText,
setScriptText,
lipsyncJob,
setLipsyncJob,
showScriptModal,
setShowScriptModal,
showBRollModal,
setShowBRollModal,
selectScript,
// B-roll
bRollSegments,
addBRollSegment,
removeBRollSegment,
// 面板4
titleConfig,
updateTitleConfig,
setTitleConfig,
// 面板5
coverConfig,
setCoverConfig,
resolution,
setResolution,
isGenerating,
setIsGenerating,
// 全局
reset,
}
}
export type UseAiAvatarReturn = ReturnType<typeof useAiAvatar>
+131
View File
@@ -0,0 +1,131 @@
/**
* AI数字人 — TypeScript 类型定义(v3
*/
import type { AssetItem } from "@/api/assets"
/* ── 音色来源切换 ── */
export type VoiceSource = "preset" | "clone"
/* ── 情绪 ── */
export type VoiceEmotion = "natural" | "excited" | "calm" | "friendly"
export const VOICE_EMOTION_OPTIONS: { value: VoiceEmotion; label: string }[] = [
{ value: "natural", label: "自然" },
{ value: "excited", label: "兴奋" },
{ value: "calm", label: "沉稳" },
{ value: "friendly", label: "亲切" },
]
/* ── 语言 ── */
export type VoiceLanguage = "mandarin" | "english" | "cantonese"
export const VOICE_LANGUAGE_OPTIONS: { value: VoiceLanguage; label: string }[] = [
{ value: "mandarin", label: "普通话" },
{ value: "english", label: "English" },
{ value: "cantonese", label: "粤语" },
]
/* ── 对口型任务状态 ── */
export type LipsyncStatus = "idle" | "pending" | "processing" | "completed" | "failed"
/* ── 文案 ── */
export interface Script {
id: string
title: string
content: string
char_count: number
created_at: string
updated_at?: string
}
/* ── 对口型任务 ── */
export interface LipsyncJob {
id: string
status: LipsyncStatus
progress: number
output_video_url: string | null
/** 对口型成片总时长(秒),后端返回;用于 B-roll 时间自动估算(#1809 ⑥) */
output_duration?: number
error_message: string | null
created_at: string
}
/* ── B-roll 画面插入 ── */
export type BRollInsertMode = "fullscreen" | "pip"
export type PipPosition = "top-left" | "top-right" | "bottom-left" | "bottom-right"
export interface BRollSegment {
id: string
asset: AssetItem
script_segment_index: number
start_time: number
end_time: number
mode: BRollInsertMode
pip_position: PipPosition
pip_scale: number
}
/* ── 标题配置 ── */
export interface AiAvatarTitleConfig {
title: string
position: string
font: string
size: number
bold: boolean
italic: boolean
stroke: boolean
shadow: boolean
color: string
auto_subtitle: boolean
/** 自定义位置坐标(position=custom 时生效,像素) */
pos_x?: number
pos_y?: number
}
/* ── 封面配置 ── */
export interface AiAvatarCoverConfig {
enabled: boolean
mode: "auto_frame" | "upload"
frame_time: number
upload_url: string | null
thumbnail_url: string | null
/** 智能封面(MediaKit 选帧)返回的 OSS 非临时 URL#1822 */
smart_cover_url: string | null
}
/* ── 渲染任务 ── */
export type RenderStatus = "pending" | "processing" | "completed" | "failed" | "cancelled"
export interface RenderJob {
id: string
status: RenderStatus
progress: number
output_video_url: string | null
error_message: string | null
created_at: string
}
/* ── 默认值 ── */
export const DEFAULT_TITLE_CONFIG: AiAvatarTitleConfig = {
title: "",
position: "bottom",
font: "思源黑体",
size: 28,
bold: true,
italic: false,
stroke: false,
shadow: false,
color: "#ffffff",
auto_subtitle: true,
pos_x: undefined,
pos_y: undefined,
}
export const DEFAULT_COVER_CONFIG: AiAvatarCoverConfig = {
enabled: true,
mode: "auto_frame",
frame_time: 0,
upload_url: null,
thumbnail_url: null,
smart_cover_url: null,
}
@@ -0,0 +1,76 @@
/**
* AI数字人 — 前后端接口契约转换工具(#1822)
*
* 以 packages/domain/video_filter_builder.py 的 build_title_drawtext_filter() 为唯一口径
* (契约文档第 5 节的 titles[]/fontSize/frame/start/end 为误写,后端不认,禁止使用)。
*/
import type { AiAvatarTitleConfig, AiAvatarCoverConfig, VoiceEmotion } from "../types"
/* ── 情绪:中文 → 英文(防御性映射;state 默认已是英文) ── */
const EMOTION_ZH_TO_EN: Record<string, VoiceEmotion> = {
: "natural",
: "excited",
: "calm",
: "friendly",
}
const VALID_EMOTIONS: VoiceEmotion[] = ["natural", "excited", "calm", "friendly"]
/** 归一化为后端英文枚举 natural/excited/calm/friendly;非法/空值回退 natural。 */
export function normalizeEmotion(raw: string | undefined | null): VoiceEmotion {
if (!raw) return "natural"
const v = raw.trim()
if ((VALID_EMOTIONS as string[]).includes(v)) return v as VoiceEmotion
return EMOTION_ZH_TO_EN[v] ?? "natural"
}
/* ── 标题:前端 state → 后端 build_title_drawtext_filter 字段(单个 title_config dict ── */
/**
* 后端真实字段:text(或content)、font(或font_preset)、font_size(或size)、
* font_color(或color,可传 #RRGGBB)、position(top/center/bottom/custom)、
* enabled、bold、stroke{enabled,width,color}、shadow{enabled,color,offset_x,offset_y}、
* pos_x/pos_y(custom 时)。
* 口播标题默认 position=bottom(不传后端会默认 top 跑到画面顶部)。
*/
export function buildTitleConfigPayload(cfg: AiAvatarTitleConfig): Record<string, unknown> {
const text = (cfg.title || "").trim()
if (!text) return {}
const position = cfg.position || "bottom"
const payload: Record<string, unknown> = {
text,
enabled: true,
font: cfg.font || "思源黑体",
font_size: Math.round(cfg.size) || 36,
font_color: cfg.color || "#ffffff",
position,
bold: !!cfg.bold,
stroke: cfg.stroke ? { enabled: true, width: 2, color: "#000000" } : { enabled: false },
shadow: cfg.shadow
? { enabled: true, color: "#000000", offset_x: 2, offset_y: 2 }
: { enabled: false },
}
// 自定义坐标(custom 位置)
if (position === "custom" && typeof cfg.pos_x === "number" && typeof cfg.pos_y === "number") {
payload.pos_x = cfg.pos_x
payload.pos_y = cfg.pos_y
}
return payload
}
/* ── 封面:前端 state → 后端 render cover_config ── */
export function buildCoverConfigPayload(
cfg: AiAvatarCoverConfig,
smartCoverUrl: string | null,
): Record<string, unknown> {
const payload: Record<string, unknown> = {
enabled: !!cfg.enabled,
mode: cfg.mode,
// build_cover_extract_command 读取 timestamp(截帧秒数)
timestamp: cfg.frame_time || 0,
}
if (smartCoverUrl) payload.cover_url = smartCoverUrl
// 自定义上传:blob: 本地预览地址无法给后端,仅 OSS URL 可用
if (cfg.mode === "upload" && cfg.upload_url && !cfg.upload_url.startsWith("blob:")) {
payload.upload_url = cfg.upload_url
}
return payload
}
@@ -0,0 +1,62 @@
/**
* AI数字人 — 文案分句 & B-roll 时间自动估算(#1809 ⑤⑥)
*/
export interface ScriptSentence {
/** 句子序号(从 0 开始,对应提交给后端的 script_segment_index */
index: number
/** 句子文本(去掉首尾空白) */
text: string
/** 句子字数(按中文/字符计,去除空白) */
charCount: number
/** 累计起始字数(用于时间估算) */
startChar: number
/** 估算的对口型视频内起始时间(秒) */
startTime: number
/** 估算的对口型视频内结束时间(秒) */
endTime: number
}
/**
* 按句号/问号/感叹号/分号/换行分句(兼容中英文标点)。
* 空文案返回空数组。时间按「该句字数 ÷ 全文总字数 × 口播总时长」线性估算。
*/
export function splitScriptIntoSentences(
scriptText: string,
outputDuration: number,
): ScriptSentence[] {
const text = (scriptText || "").trim()
if (!text) return []
const rawParts = text
.split(/[。!?!?;\n\r]+/)
.map((part) => part.trim())
.filter((part) => part.length > 0)
const totalChars = rawParts.reduce((sum, part) => sum + part.replace(/\s/g, "").length, 0)
const duration = outputDuration > 0 ? outputDuration : 0
const sentences: ScriptSentence[] = []
let accChar = 0
rawParts.forEach((part, i) => {
const charCount = part.replace(/\s/g, "").length
const startTime = duration > 0 && totalChars > 0 ? (accChar / totalChars) * duration : 0
const endTime =
duration > 0 && totalChars > 0 ? ((accChar + charCount) / totalChars) * duration : 0
sentences.push({
index: i,
text: part,
charCount,
startChar: accChar,
startTime: round1(startTime),
endTime: round1(endTime),
})
accChar += charCount
})
return sentences
}
function round1(n: number): number {
return Math.round(n * 10) / 10
}
@@ -1,4 +0,0 @@
export { useBatchDelete } from "./useBatchDelete"
export { useBatchTag } from "./useBatchTag"
export { useBatchClassify } from "./useBatchClassify"
export { useBatchMark } from "./useBatchMark"
@@ -1,58 +0,0 @@
import { useState, useCallback } from "react"
import { message } from "antd"
import { batchClassifyAssets, type BatchOperationResult } from "@/api/assets"
interface UseBatchClassifyOptions {
selectedIds: Set<string>
queryClient: ReturnType<typeof import("@tanstack/react-query").useQueryClient>
showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
}
export const useBatchClassify = ({
selectedIds,
queryClient,
showResult,
}: UseBatchClassifyOptions) => {
const [classifyModalOpen, setClassifyModalOpen] = useState(false)
const [batchCategory, setBatchCategory] = useState("")
const [batchLoading, setBatchLoading] = useState(false)
const handleBatchClassify = useCallback(async () => {
if (!batchCategory) {
message.warning("请选择分类")
return
}
const ids = Array.from(selectedIds)
setBatchLoading(true)
try {
const result = await batchClassifyAssets({
asset_ids: ids,
category: batchCategory,
})
queryClient.invalidateQueries({ queryKey: ["assets"] })
showResult(result, "批量改分类")
setClassifyModalOpen(false)
setBatchCategory("")
if (result.failure_count === 0) {
message.success(`成功将 ${result.success_count} 个素材改为「${batchCategory}`)
} else {
message.warning(
`改分类完成:成功 ${result.success_count} 个,失败 ${result.failure_count}`,
)
}
} catch {
message.error("批量改分类失败,请重试")
} finally {
setBatchLoading(false)
}
}, [batchCategory, selectedIds, queryClient, showResult])
return {
classifyModalOpen,
setClassifyModalOpen,
batchCategory,
setBatchCategory,
batchLoading,
handleBatchClassify,
}
}
@@ -1,40 +0,0 @@
import { useState, useCallback } from "react"
import { message } from "antd"
import { batchDeleteAssets, type BatchOperationResult } from "@/api/assets"
interface UseBatchDeleteOptions {
selectedIds: Set<string>
invalidateAssets: () => void
showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
}
export const useBatchDelete = ({
selectedIds,
invalidateAssets,
showResult,
}: UseBatchDeleteOptions) => {
const [batchLoading, setBatchLoading] = useState(false)
const handleBatchDelete = useCallback(async () => {
const ids = Array.from(selectedIds)
setBatchLoading(true)
try {
const result = await batchDeleteAssets(ids)
invalidateAssets()
showResult(result, "批量删除")
if (result.failure_count === 0) {
message.success(`成功删除 ${result.success_count} 个素材`)
} else {
message.warning(
`删除完成:成功 ${result.success_count} 个,失败 ${result.failure_count}`,
)
}
} catch {
message.error("批量删除失败,请重试")
} finally {
setBatchLoading(false)
}
}, [selectedIds, invalidateAssets, showResult])
return { batchLoading, handleBatchDelete }
}
@@ -1,53 +0,0 @@
import { useState, useCallback } from "react"
import { message } from "antd"
import { batchMarkAssets, type BatchOperationResult } from "@/api/assets"
import type { SmartViewType } from "../../../components/BatchMarkModal"
import { SMART_VIEW_LABELS } from "../constants"
interface UseBatchMarkOptions {
selectedIds: Set<string>
queryClient: ReturnType<typeof import("@tanstack/react-query").useQueryClient>
showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
}
export const useBatchMark = ({ selectedIds, queryClient, showResult }: UseBatchMarkOptions) => {
const [markModalOpen, setMarkModalOpen] = useState(false)
const [batchSmartView, setBatchSmartView] = useState<SmartViewType>("recommended")
const [batchLoading, setBatchLoading] = useState(false)
const handleBatchMark = useCallback(async () => {
const ids = Array.from(selectedIds)
setBatchLoading(true)
try {
const result = await batchMarkAssets({
asset_ids: ids,
smart_view: batchSmartView,
})
queryClient.invalidateQueries({ queryKey: ["assets"] })
showResult(result, "批量智能标记")
setMarkModalOpen(false)
if (result.failure_count === 0) {
message.success(
`成功将 ${result.success_count} 个素材标记为「${SMART_VIEW_LABELS[batchSmartView]}`,
)
} else {
message.warning(
`智能标记完成:成功 ${result.success_count} 个,失败 ${result.failure_count}`,
)
}
} catch {
message.error("批量智能标记失败,请重试")
} finally {
setBatchLoading(false)
}
}, [batchSmartView, selectedIds, queryClient, showResult])
return {
markModalOpen,
setMarkModalOpen,
batchSmartView,
setBatchSmartView,
batchLoading,
handleBatchMark,
}
}
@@ -1,86 +0,0 @@
import { useState, useCallback } from "react"
import { message } from "antd"
import { batchTagAssets, type BatchOperationResult } from "@/api/assets"
interface UseBatchTagOptions {
selectedIds: Set<string>
queryClient: ReturnType<typeof import("@tanstack/react-query").useQueryClient>
showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
}
export const useBatchTag = ({ selectedIds, queryClient, showResult }: UseBatchTagOptions) => {
const [tagModalOpen, setTagModalOpen] = useState(false)
const [batchTagInput, setBatchTagInput] = useState("")
const [batchTags, setBatchTags] = useState<string[]>([])
const [tagMode, setTagMode] = useState<"add" | "replace">("add")
const [batchLoading, setBatchLoading] = useState(false)
const handleBatchTag = useCallback(async () => {
if (batchTags.length === 0) {
message.warning("请至少输入一个标签")
return
}
const ids = Array.from(selectedIds)
setBatchLoading(true)
try {
const result = await batchTagAssets({
asset_ids: ids,
tags: batchTags,
mode: tagMode,
})
queryClient.invalidateQueries({ queryKey: ["assets"] })
showResult(result, "批量打标签")
setTagModalOpen(false)
setBatchTags([])
setBatchTagInput("")
setTagMode("add")
if (result.failure_count === 0) {
message.success(`成功为 ${result.success_count} 个素材打标签`)
} else {
message.warning(
`打标签完成:成功 ${result.success_count} 个,失败 ${result.failure_count}`,
)
}
} catch {
message.error("批量打标签失败,请重试")
} finally {
setBatchLoading(false)
}
}, [batchTags, selectedIds, tagMode, queryClient, showResult])
const handleTagInputKeyDown = useCallback(
(e: React.KeyboardEvent) => {
if (e.key === "Enter" && batchTagInput.trim()) {
e.preventDefault()
const tag = batchTagInput.trim()
if (!batchTags.includes(tag)) {
setBatchTags([...batchTags, tag])
}
setBatchTagInput("")
}
},
[batchTagInput, batchTags],
)
const removeBatchTag = useCallback(
(tag: string) => {
setBatchTags(batchTags.filter((t) => t !== tag))
},
[batchTags],
)
return {
tagModalOpen,
setTagModalOpen,
batchTagInput,
setBatchTagInput,
batchTags,
setBatchTags,
tagMode,
setTagMode,
batchLoading,
handleBatchTag,
handleTagInputKeyDown,
removeBatchTag,
}
}
@@ -1,8 +0,0 @@
/**
* @deprecated 请从 ./batch/ 目录导入子模块
* 保持向后兼容,re-export 所有批量操作 Hook
*/
export { useBatchDelete } from "./batch/useBatchDelete"
export { useBatchTag } from "./batch/useBatchTag"
export { useBatchClassify } from "./batch/useBatchClassify"
export { useBatchMark } from "./batch/useBatchMark"
@@ -10,7 +10,7 @@
============================================================ */
.dup-page {
padding: var(--space-2xl) var(--space-lg);
max-width: 1100px;
max-width: 1400px;
margin: 0 auto;
}
@@ -6440,3 +6440,49 @@
opacity: 0.6;
cursor: not-allowed;
}
/* ═══ 标题设置 — 颜色预设 ═══ */
.ep-color-presets {
display: flex;
align-items: center;
gap: 6px;
flex-wrap: wrap;
}
.ep-color-swatch {
width: 24px;
height: 24px;
border-radius: 4px;
border: 2px solid transparent;
cursor: pointer;
transition:
border-color 0.15s,
transform 0.1s;
}
.ep-color-swatch:hover {
transform: scale(1.1);
}
.ep-color-swatch.active {
border-color: var(--ep-primary, #4f8cff);
}
.ep-color-picker {
width: 28px;
height: 28px;
border: none;
border-radius: 4px;
cursor: pointer;
padding: 0;
background: none;
}
.ep-color-picker::-webkit-color-swatch-wrapper {
padding: 0;
}
.ep-color-picker::-webkit-color-swatch {
border: 1px solid rgba(255, 255, 255, 0.2);
border-radius: 4px;
}
@@ -196,6 +196,8 @@ const EditingPlanner: React.FC = () => {
{/* 右栏 260px:设置面板 */}
<RightPanel
titleConfig={titleConfig}
onTitleConfigChange={setTitleConfig}
rightTab={rightTab}
onTabChange={setRightTab}
selectedClip={clipOps.selectedClip}
@@ -5,12 +5,15 @@
import React from "react"
import type { ClipPropertiesPanelProps } from "@/pages/editing-planner/types/clipProperties"
import SubtitleSettingsSection from "./clip-properties/SubtitleSettingsSection"
import TitleSettingsSection from "./clip-properties/TitleSettingsSection"
import BgmSettingsSection from "./clip-properties/BgmSettingsSection"
import ClipDetailSection from "./clip-properties/ClipDetailSection"
import StatsSection from "./clip-properties/StatsSection"
import { useVoicePreview } from "@/pages/editing-planner/hooks/useVoicePreview"
const ClipPropertiesPanel: React.FC<ClipPropertiesPanelProps> = ({
titleConfig,
onTitleConfigChange,
selectedClip,
subtitleSettings,
bgmSettings,
@@ -40,6 +43,11 @@ const ClipPropertiesPanel: React.FC<ClipPropertiesPanelProps> = ({
return (
<div className="ep-right-panel">
{/* ═══ 标题设置 — #1789 ═══ */}
{titleConfig && onTitleConfigChange && (
<TitleSettingsSection config={titleConfig} onChange={onTitleConfigChange} />
)}
{/* ═══ 字幕设置 ═══ */}
<SubtitleSettingsSection
settings={subtitleSettings}
@@ -5,9 +5,12 @@ import type { ClipData } from "../types"
import type { SubtitleStyleConfig } from "../types/subtitle"
import type { BgmMixConfig } from "@/api/bgm"
import type { TemplateMode } from "@/api/editing-planner"
import type { TitleConfig } from "@/api/template-editor"
import type { AssetItem } from "@/api/assets"
interface RightPanelProps {
titleConfig?: TitleConfig
onTitleConfigChange?: (config: TitleConfig | ((prev: TitleConfig) => TitleConfig)) => void
rightTab: "properties" | "clips"
onTabChange: (tab: "properties" | "clips") => void
// 属性 tab
@@ -46,6 +49,8 @@ interface RightPanelProps {
}
const RightPanel: React.FC<RightPanelProps> = ({
titleConfig,
onTitleConfigChange,
rightTab,
onTabChange,
selectedClip,
@@ -118,6 +123,8 @@ const RightPanel: React.FC<RightPanelProps> = ({
>["onBgmSettingsChange"]
return (
<ClipPropertiesPanel
titleConfig={titleConfig}
onTitleConfigChange={onTitleConfigChange}
selectedClip={selectedClip}
subtitleSettings={sub}
bgmSettings={bgm}
@@ -0,0 +1,136 @@
/**
* #1789
*
*/
import React from "react"
import type { TitleConfig } from "@/api/template-editor"
import { POSITION_OPTIONS, FONT_OPTIONS } from "@/pages/editing-planner/constants/clipProperties"
interface TitleSettingsSectionProps {
config: TitleConfig
onChange: (config: TitleConfig | ((prev: TitleConfig) => TitleConfig)) => void
}
const TITLE_COLOR_PRESETS = [
"#ffffff",
"#000000",
"#ff4444",
"#ffaa00",
"#44ff44",
"#4488ff",
"#ff44ff",
"#ffff44",
]
const TitleSettingsSection: React.FC<TitleSettingsSectionProps> = ({ config, onChange }) => {
const update = (partial: Partial<TitleConfig>) => {
onChange((prev: TitleConfig) => ({ ...prev, ...partial }))
}
return (
<div className="ep-settings-section">
<div className="ep-section-title">
<span className="ep-section-icon">📝</span>
</div>
{/* AI 自动选择开关 */}
<div className="ep-toggle-row">
<span className="ep-toggle-label">AI </span>
<div
className={`ep-toggle ${config.ai_auto_select ? "active" : ""}`}
onClick={() => update({ ai_auto_select: !config.ai_auto_select })}
>
<div className="ep-toggle-knob" />
</div>
</div>
{!config.ai_auto_select && (
<>
{/* 标题文本 */}
<div className="ep-field">
<label className="ep-field-label"></label>
<input
className="ep-form-select"
type="text"
placeholder="输入标题内容"
value={config.content}
onChange={(e) => update({ content: e.target.value })}
/>
</div>
{/* 位置 */}
<div className="ep-field">
<label className="ep-field-label"></label>
<select
className="ep-form-select"
value={config.position}
onChange={(e) => update({ position: e.target.value })}
>
{POSITION_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
{/* 字体预设 */}
<div className="ep-field">
<label className="ep-field-label"></label>
<select
className="ep-form-select"
value={config.font_preset}
onChange={(e) => update({ font_preset: e.target.value })}
>
{FONT_OPTIONS.map((f) => (
<option key={f} value={f}>
{f}
</option>
))}
</select>
</div>
{/* 字号滑块 */}
<div className="ep-field">
<label className="ep-field-label"></label>
<div className="ep-slider-row">
<input
className="ep-slider"
type="range"
min={12}
max={72}
value={config.font_size}
onChange={(e) => update({ font_size: Number(e.target.value) })}
/>
<span className="ep-slider-value">{config.font_size}px</span>
</div>
</div>
{/* 颜色 */}
<div className="ep-field">
<label className="ep-field-label"></label>
<div className="ep-color-presets">
{TITLE_COLOR_PRESETS.map((color) => (
<div
key={color}
className={`ep-color-swatch${config.font_color === color ? " active" : ""}`}
style={{ backgroundColor: color }}
onClick={() => update({ font_color: color })}
/>
))}
<input
type="color"
className="ep-color-picker"
value={config.font_color}
onChange={(e) => update({ font_color: e.target.value })}
/>
</div>
</div>
</>
)}
</div>
)
}
export default TitleSettingsSection
@@ -1,5 +0,0 @@
/**
* LayerConfig
* ./layer-config/
*/
export { default } from "./layer-config"
@@ -1,65 +0,0 @@
/**
*
*/
import React from "react"
import type { PipLayer } from "@/pages/editing-planner/types"
import { LAYER_COLORS } from "@/pages/editing-planner/constants/pipConfig"
interface LayerListProps {
layers: PipLayer[]
selectedId: string
onSelect: (id: string) => void
onAdd: () => void
onDelete: (id: string) => void
}
const LayerList: React.FC<LayerListProps> = ({ layers, selectedId, onSelect, onAdd, onDelete }) => {
return (
<div className="pip-layer-list">
<div className="pip-toolbar" style={{ marginBottom: 8 }}>
<button className="pip-add-btn" onClick={onAdd}>
+
</button>
</div>
{layers.length === 0 ? (
<div className="pip-layer-empty"></div>
) : (
layers.map((layer, idx) => (
<div
key={layer.id}
className={`pip-layer-item${selectedId === layer.id ? " active" : ""}`}
onClick={() => onSelect(layer.id)}
>
{layer.thumbnail_url || layer.material_url ? (
<img
className="pip-layer-thumb"
src={layer.thumbnail_url || layer.material_url}
alt={layer.name}
/>
) : (
<div
className="pip-layer-thumb"
style={{
background: LAYER_COLORS[idx % LAYER_COLORS.length],
}}
/>
)}
<span className="pip-layer-name">{layer.name}</span>
<button
className="pip-layer-delete"
onClick={(e) => {
e.stopPropagation()
onDelete(layer.id)
}}
title="删除图层"
>
</button>
</div>
))
)}
</div>
)
}
export default LayerList
@@ -1,172 +0,0 @@
import React from "react"
import type { PipLayer, PipGridPosition } from "@/pages/editing-planner/types"
import { GRID_POSITIONS } from "@/pages/editing-planner/constants/pipConfig"
interface LayerPositionSizeProps {
layer: PipLayer
onUpdate: (id: string, partial: Partial<PipLayer>) => void
onGridClick: (pos: PipGridPosition) => void
onWidthChange: (val: number) => void
onHeightChange: (val: number) => void
}
/**
*
*/
export const LayerPositionSize: React.FC<LayerPositionSizeProps> = ({
layer,
onUpdate,
onGridClick,
onWidthChange,
onHeightChange,
}) => (
<>
{/* 素材类型 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<div className="pip-type-btns">
<button
className={`pip-type-btn${layer.material_type === "image" ? " active" : ""}`}
onClick={() => onUpdate(layer.id, { material_type: "image" })}
>
🖼
</button>
<button
className={`pip-type-btn${layer.material_type === "video" ? " active" : ""}`}
onClick={() => onUpdate(layer.id, { material_type: "video" })}
>
🎬
</button>
</div>
</div>
{/* 素材 URL */}
<div className="pip-field">
<label className="pip-field-label">
{layer.material_type === "image" ? "图片" : "视频"} URL
</label>
<input
className="pip-input"
type="text"
placeholder={
layer.material_type === "image"
? "https://example.com/image.png"
: "https://example.com/video.mp4"
}
value={layer.material_url}
onChange={(e) => onUpdate(layer.id, { material_url: e.target.value })}
/>
</div>
{/* 位置:九宫格 + 坐标 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<div style={{ display: "flex", gap: 16, alignItems: "flex-start" }}>
<div className="pip-grid">
{GRID_POSITIONS.map((pos) => (
<button
key={pos}
className={`pip-grid-btn${layer.grid_position === pos ? " active" : ""}`}
onClick={() => onGridClick(pos)}
>
<span className="pip-grid-dot" />
</button>
))}
</div>
<div className="pip-field-row" style={{ flex: 1 }}>
<div>
<label className="pip-field-label">X (%)</label>
<input
className="pip-number"
type="number"
min={0}
max={100}
value={layer.x}
onChange={(e) => onUpdate(layer.id, { x: Number(e.target.value) })}
/>
</div>
<div>
<label className="pip-field-label">Y (%)</label>
<input
className="pip-number"
type="number"
min={0}
max={100}
value={layer.y}
onChange={(e) => onUpdate(layer.id, { y: Number(e.target.value) })}
/>
</div>
</div>
</div>
</div>
{/* 尺寸 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<div className="pip-slider-row">
<span style={{ fontSize: 12, color: "#999", width: 20 }}></span>
<input
className="pip-slider"
type="range"
min={10}
max={80}
value={layer.width}
onChange={(e) => onWidthChange(Number(e.target.value))}
/>
<span className="pip-slider-value">{layer.width}%</span>
</div>
<div className="pip-slider-row" style={{ marginTop: 6 }}>
<span style={{ fontSize: 12, color: "#999", width: 20 }}></span>
<input
className="pip-slider"
type="range"
min={10}
max={80}
value={layer.height}
onChange={(e) => onHeightChange(Number(e.target.value))}
/>
<span className="pip-slider-value">{layer.height}%</span>
</div>
<div
className="pip-lock-row"
style={{ marginTop: 6 }}
onClick={() => onUpdate(layer.id, { aspect_lock: !layer.aspect_lock })}
>
<span className="pip-lock-icon">{layer.aspect_lock ? "🔒" : "🔓"}</span>
<span>{layer.aspect_lock ? "已锁定比例" : "锁定宽高比"}</span>
</div>
</div>
{/* 圆角 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<div className="pip-slider-row">
<input
className="pip-slider"
type="range"
min={0}
max={50}
value={layer.border_radius}
onChange={(e) => onUpdate(layer.id, { border_radius: Number(e.target.value) })}
/>
<span className="pip-slider-value">{layer.border_radius}%</span>
</div>
</div>
{/* 透明度 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<div className="pip-slider-row">
<input
className="pip-slider"
type="range"
min={0}
max={100}
value={layer.opacity}
onChange={(e) => onUpdate(layer.id, { opacity: Number(e.target.value) })}
/>
<span className="pip-slider-value">{layer.opacity}%</span>
</div>
</div>
</>
)
@@ -1,87 +0,0 @@
import React from "react"
import type { PipLayer, PipAnimType, PipSlideDirection } from "@/pages/editing-planner/types"
import { ANIM_OPTIONS, SLIDE_DIR_OPTIONS } from "@/pages/editing-planner/constants/pipConfig"
interface LayerTimingAnimationProps {
layer: PipLayer
totalDuration: number
onUpdate: (id: string, partial: Partial<PipLayer>) => void
}
/**
*
*/
export const LayerTimingAnimation: React.FC<LayerTimingAnimationProps> = ({
layer,
totalDuration,
onUpdate,
}) => (
<>
{/* 时间 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<div className="pip-field-row">
<div>
<label className="pip-field-label"> (s)</label>
<input
className="pip-number"
type="number"
min={0}
max={totalDuration || 999}
step={0.1}
value={layer.start_time}
onChange={(e) => onUpdate(layer.id, { start_time: Number(e.target.value) })}
/>
</div>
<div>
<label className="pip-field-label"> (s)</label>
<input
className="pip-number"
type="number"
min={0.1}
max={totalDuration || 999}
step={0.1}
value={layer.duration}
onChange={(e) => onUpdate(layer.id, { duration: Number(e.target.value) })}
/>
</div>
</div>
</div>
{/* 入场动画 */}
<div className="pip-field">
<label className="pip-field-label"></label>
<select
className="pip-select"
value={layer.animation}
onChange={(e) => onUpdate(layer.id, { animation: e.target.value as PipAnimType })}
>
{ANIM_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
{/* 滑入方向(仅 slide_in 时显示) */}
{layer.animation === "slide_in" && (
<div className="pip-field">
<label className="pip-field-label"></label>
<select
className="pip-select"
value={layer.slide_direction}
onChange={(e) =>
onUpdate(layer.id, { slide_direction: e.target.value as PipSlideDirection })
}
>
{SLIDE_DIR_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
)}
</>
)
@@ -1,33 +0,0 @@
import React from "react"
import type { PipLayer } from "@/pages/editing-planner/types"
import { LAYER_COLORS } from "@/pages/editing-planner/constants/pipConfig"
interface PipPreviewProps {
layers: PipLayer[]
selectedId: string
}
/**
* PIP
*/
export const PipPreview: React.FC<PipPreviewProps> = ({ layers, selectedId }) => (
<div className="pip-preview-box">
{layers.map((l, idx) => (
<div
key={l.id}
className={`pip-preview-layer${selectedId === l.id ? " selected" : ""}`}
style={{
left: `${l.x}%`,
top: `${l.y}%`,
width: `${l.width}%`,
height: `${l.height}%`,
background: LAYER_COLORS[idx % LAYER_COLORS.length],
opacity: l.opacity / 100,
borderRadius: `${l.border_radius}%`,
}}
>
<span className="pip-preview-label">{l.name}</span>
</div>
))}
</div>
)
@@ -1,57 +0,0 @@
/**
*
*/
import React from "react"
import type { PipLayer, PipGridPosition } from "@/pages/editing-planner/types"
import { PipPreview } from "./PipPreview"
import { LayerPositionSize } from "./LayerPositionSize"
import { LayerTimingAnimation } from "./LayerTimingAnimation"
interface LayerConfigProps {
layer: PipLayer | null
layers: PipLayer[]
totalDuration: number
onUpdate: (id: string, partial: Partial<PipLayer>) => void
onGridClick: (pos: PipGridPosition) => void
onWidthChange: (val: number) => void
onHeightChange: (val: number) => void
}
const LayerConfig: React.FC<LayerConfigProps> = ({
layer,
layers,
totalDuration,
onUpdate,
onGridClick,
onWidthChange,
onHeightChange,
}) => {
if (!layer) {
return (
<div className="pip-config-area">
<div className="pip-config-empty"></div>
</div>
)
}
return (
<div className="pip-config-area">
{/* 迷你预览 */}
<PipPreview layers={layers} selectedId={layer.id} />
{/* 位置与尺寸 */}
<LayerPositionSize
layer={layer}
onUpdate={onUpdate}
onGridClick={onGridClick}
onWidthChange={onWidthChange}
onHeightChange={onHeightChange}
/>
{/* 时间与动画 */}
<LayerTimingAnimation layer={layer} totalDuration={totalDuration} onUpdate={onUpdate} />
</div>
)
}
export default LayerConfig
@@ -1,142 +0,0 @@
/**
* emoji / /
*/
import React, { useState } from "react"
import type { StickerType, TextStickerPreset } from "@/pages/editing-planner/types"
import {
EMOJI_LIST,
STICKER_TYPE_TABS,
TEXT_PRESET_STYLES,
TEXT_STICKER_PRESET_LABELS,
} from "@/pages/editing-planner/constants/sticker"
interface StickerLibraryProps {
activeTab: StickerType
onTabChange: (tab: StickerType) => void
onAddSticker: (type: StickerType, content: string) => void
}
const StickerLibrary: React.FC<StickerLibraryProps> = ({
activeTab,
onTabChange,
onAddSticker,
}) => {
const [textInput, setTextInput] = useState("")
const imageInputRef = React.useRef<HTMLInputElement>(null)
const handleAddImage = () => {
const val = imageInputRef.current?.value.trim()
if (val) {
onAddSticker("image", val)
if (imageInputRef.current) imageInputRef.current.value = ""
}
}
const handleAddText = () => {
if (textInput.trim()) {
onAddSticker("text", textInput.trim())
setTextInput("")
}
}
return (
<>
{/* 类型 Tab */}
<div className="sticker-tabs">
{STICKER_TYPE_TABS.map((t) => (
<button
key={t.value}
className={`sticker-tab${activeTab === t.value ? " active" : ""}`}
onClick={() => onTabChange(t.value)}
>
{t.label}
</button>
))}
</div>
{/* Tab 内容区 */}
<div className="sticker-tab-content">
{/* Emoji 素材库 */}
{activeTab === "emoji" && (
<div className="sticker-emoji-grid">
{EMOJI_LIST.map((emoji) => (
<button
key={emoji}
className="sticker-emoji-btn"
onClick={() => onAddSticker("emoji", emoji)}
>
{emoji}
</button>
))}
</div>
)}
{/* 图片贴纸 */}
{activeTab === "image" && (
<div className="sticker-image-input">
<input
ref={imageInputRef}
type="text"
className="sticker-url-input"
placeholder="输入图片 URL 添加贴纸..."
onKeyDown={(e) => {
if (e.key === "Enter" && e.currentTarget.value.trim()) {
handleAddImage()
}
}}
/>
<button className="sticker-url-add-btn" onClick={handleAddImage}>
</button>
</div>
)}
{/* 文字花字 */}
{activeTab === "text" && (
<div className="sticker-text-section">
<div className="sticker-text-input-row">
<input
type="text"
className="sticker-text-input"
placeholder="输入文字内容..."
value={textInput}
onChange={(e) => setTextInput(e.target.value)}
/>
<button
className="sticker-text-add-btn"
disabled={!textInput.trim()}
onClick={handleAddText}
>
</button>
</div>
<div className="sticker-text-presets">
<div className="sticker-preset-title"></div>
<div className="sticker-preset-grid">
{(Object.keys(TEXT_STICKER_PRESET_LABELS) as TextStickerPreset[]).map((p) => (
<div
key={p}
className="sticker-preset-preview"
style={{
background:
p === "bubble"
? "rgba(0,0,0,0.5)"
: p === "gradient"
? "linear-gradient(90deg,#f093fb,#f5576c)"
: "#1a1a2e",
}}
>
<span style={TEXT_PRESET_STYLES[p]}></span>
<div className="sticker-preset-name">{TEXT_STICKER_PRESET_LABELS[p]}</div>
</div>
))}
</div>
</div>
</div>
)}
</div>
</>
)
}
export default StickerLibrary
@@ -1,54 +0,0 @@
/**
*
*/
import React from "react"
import type { StickerItem } from "@/pages/editing-planner/types"
interface StickerListProps {
items: StickerItem[]
selectedId: string | null
onSelect: (id: string) => void
onDelete: (id: string) => void
}
const StickerList: React.FC<StickerListProps> = ({ items, selectedId, onSelect, onDelete }) => {
if (items.length === 0) return null
const getDisplayContent = (item: StickerItem) => {
if (item.type === "emoji") return { icon: item.content, name: "表情贴纸" }
if (item.type === "text") return { icon: "T", name: item.content.slice(0, 10) }
return { icon: "🖼", name: "图片贴纸" }
}
return (
<div className="sticker-list-section">
<div className="sticker-section-title"> ({items.length})</div>
<div className="sticker-list">
{items.map((item) => {
const { icon, name } = getDisplayContent(item)
return (
<div
key={item.id}
className={`sticker-list-item${selectedId === item.id ? " active" : ""}`}
onClick={() => onSelect(item.id)}
>
<span className="sticker-list-icon">{icon}</span>
<span className="sticker-list-name">{name}</span>
<button
className="sticker-list-delete"
onClick={(e) => {
e.stopPropagation()
onDelete(item.id)
}}
>
</button>
</div>
)
})}
</div>
</div>
)
}
export default StickerList
@@ -1,39 +0,0 @@
import React from "react"
import type { StickerItem } from "@/pages/editing-planner/types"
import { TEXT_PRESET_STYLES } from "@/pages/editing-planner/constants/sticker"
interface StickerPreviewProps {
sticker: StickerItem
}
export const StickerPreview: React.FC<StickerPreviewProps> = ({ sticker }) => (
<div className="sticker-preview-box">
<div
className="sticker-preview-item"
style={{
left: `${sticker.x}%`,
top: `${sticker.y}%`,
width: `${sticker.width}%`,
height: `${sticker.height}%`,
transform: `translate(-50%, -50%) rotate(${sticker.rotation}deg)`,
opacity: sticker.opacity / 100,
fontSize: sticker.type === "text" ? `${sticker.font_size}px` : undefined,
...TEXT_PRESET_STYLES[sticker.text_preset],
}}
>
{sticker.type === "emoji" && sticker.content}
{sticker.type === "text" && sticker.content}
{sticker.type === "image" && (
<img
src={sticker.content}
alt="sticker"
style={{
width: "100%",
height: "100%",
objectFit: "contain",
}}
/>
)}
</div>
</div>
)
@@ -1,130 +0,0 @@
/**
*
*/
import React from "react"
import type { StickerItem } from "@/pages/editing-planner/types"
import { StickerPreview } from "./StickerPreview"
import { TextStickerPropsEditor } from "./TextStickerPropsEditor"
interface StickerPropsEditorProps {
sticker: StickerItem
totalDuration: number
onUpdate: (id: string, partial: Partial<StickerItem>) => void
}
const StickerPropsEditor: React.FC<StickerPropsEditorProps> = ({
sticker,
totalDuration,
onUpdate,
}) => {
return (
<div className="sticker-props-section">
<div className="sticker-section-title"></div>
{/* 位置 */}
<div className="sticker-prop-row">
<span className="sticker-prop-label"> X</span>
<input
type="range"
className="sticker-prop-slider"
min={0}
max={100}
value={sticker.x}
onChange={(e) => onUpdate(sticker.id, { x: Number(e.target.value) })}
/>
<span className="sticker-prop-value">{sticker.x}%</span>
</div>
<div className="sticker-prop-row">
<span className="sticker-prop-label"> Y</span>
<input
type="range"
className="sticker-prop-slider"
min={0}
max={100}
value={sticker.y}
onChange={(e) => onUpdate(sticker.id, { y: Number(e.target.value) })}
/>
<span className="sticker-prop-value">{sticker.y}%</span>
</div>
{/* 尺寸 */}
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<input
type="range"
className="sticker-prop-slider"
min={5}
max={50}
value={sticker.width}
onChange={(e) =>
onUpdate(sticker.id, {
width: Number(e.target.value),
height: Number(e.target.value),
})
}
/>
<span className="sticker-prop-value">{sticker.width}%</span>
</div>
{/* 旋转 */}
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<input
type="range"
className="sticker-prop-slider"
min={-180}
max={180}
value={sticker.rotation}
onChange={(e) => onUpdate(sticker.id, { rotation: Number(e.target.value) })}
/>
<span className="sticker-prop-value">{sticker.rotation}°</span>
</div>
{/* 透明度 */}
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<input
type="range"
className="sticker-prop-slider"
min={0}
max={100}
value={sticker.opacity}
onChange={(e) => onUpdate(sticker.id, { opacity: Number(e.target.value) })}
/>
<span className="sticker-prop-value">{sticker.opacity}%</span>
</div>
{/* 时间 */}
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<input
type="number"
className="sticker-prop-number"
min={0}
max={totalDuration}
step={0.1}
value={sticker.start_time}
onChange={(e) => onUpdate(sticker.id, { start_time: Number(e.target.value) })}
/>
<span className="sticker-prop-label"></span>
<input
type="number"
className="sticker-prop-number"
min={0}
max={totalDuration}
step={0.1}
value={sticker.duration}
onChange={(e) => onUpdate(sticker.id, { duration: Number(e.target.value) })}
/>
</div>
{/* 文字贴纸特有属性 */}
<TextStickerPropsEditor sticker={sticker} onUpdate={onUpdate} />
{/* 预览 */}
<StickerPreview sticker={sticker} />
</div>
)
}
export default StickerPropsEditor
@@ -1,57 +0,0 @@
import React from "react"
import type { StickerItem, TextStickerPreset } from "@/pages/editing-planner/types"
import { TEXT_STICKER_PRESET_LABELS } from "@/pages/editing-planner/constants/sticker"
interface TextStickerPropsEditorProps {
sticker: StickerItem
onUpdate: (id: string, partial: Partial<StickerItem>) => void
}
export const TextStickerPropsEditor: React.FC<TextStickerPropsEditorProps> = ({
sticker,
onUpdate,
}) => {
if (sticker.type !== "text") return null
return (
<>
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<select
className="sticker-prop-select"
value={sticker.text_preset}
onChange={(e) =>
onUpdate(sticker.id, { text_preset: e.target.value as TextStickerPreset })
}
>
{(Object.keys(TEXT_STICKER_PRESET_LABELS) as TextStickerPreset[]).map((p) => (
<option key={p} value={p}>
{TEXT_STICKER_PRESET_LABELS[p]}
</option>
))}
</select>
</div>
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<input
type="range"
className="sticker-prop-slider"
min={12}
max={72}
value={sticker.font_size}
onChange={(e) => onUpdate(sticker.id, { font_size: Number(e.target.value) })}
/>
<span className="sticker-prop-value">{sticker.font_size}px</span>
</div>
<div className="sticker-prop-row">
<span className="sticker-prop-label"></span>
<input
type="color"
className="sticker-prop-color"
value={sticker.text_color}
onChange={(e) => onUpdate(sticker.id, { text_color: e.target.value })}
/>
</div>
</>
)
}
@@ -1,62 +0,0 @@
/**
* TTS //
*/
import React from "react"
import { Slider } from "antd"
interface TtsSliderProps {
label: string
value: number
min: number
max: number
step: number
unit?: string
onChange: (val: number) => void
marks?: string[]
tooltipFormatter?: (v: number) => string
}
const TtsSlider: React.FC<TtsSliderProps> = ({
label,
value,
min,
max,
step,
unit = "",
onChange,
marks,
tooltipFormatter,
}) => {
const displayValue =
unit === "x"
? `${value.toFixed(2)}x`
: label === "语调"
? `${value > 0 ? "+" : ""}${value} 半音`
: `${value}${unit}`
return (
<div className="tts-slider-section">
<div className="tts-slider-header">
<span className="tts-slider-label">{label}</span>
<span className="tts-slider-value">{displayValue}</span>
</div>
<Slider
min={min}
max={max}
step={step}
value={value}
onChange={(v) => onChange(v as number)}
tooltip={tooltipFormatter ? { formatter: (v) => tooltipFormatter(v as number) } : undefined}
/>
{marks && (
<div className="tts-slider-marks">
{marks.map((m, i) => (
<span key={i}>{m}</span>
))}
</div>
)}
</div>
)
}
export default TtsSlider
@@ -1,50 +0,0 @@
/**
* TTS
*/
import React from "react"
import type { TTSVoice } from "@/api/tts"
import { VOICE_CATEGORY_MAP } from "../../constants/tts"
interface VoiceSelectorProps {
voices: TTSVoice[]
voicesLoading: boolean
selectedVoiceId: string
onVoiceSelect: (voiceId: string) => void
}
const VoiceSelector: React.FC<VoiceSelectorProps> = ({
voices,
voicesLoading,
selectedVoiceId,
onVoiceSelect,
}) => {
const voiceCategories = Object.entries(VOICE_CATEGORY_MAP)
return (
<div className="tts-voice-section">
<div className="tts-voice-label">
{voicesLoading && <span className="tts-voice-loading">...</span>}
</div>
<div className="tts-voice-grid">
{voiceCategories.map(([cat, info]) => {
const voice = voices.find((v) => v.category === cat)
const isSelected = voice && selectedVoiceId === voice.id
return (
<button
key={cat}
className={`tts-voice-card${isSelected ? " active" : ""}`}
onClick={() => voice && onVoiceSelect(voice.id)}
disabled={!voice || voicesLoading}
>
<span className="tts-voice-card-icon">{info.icon}</span>
<span className="tts-voice-card-name">{voice?.name || info.label}</span>
</button>
)
})}
</div>
</div>
)
}
export default VoiceSelector
@@ -4,6 +4,7 @@
import type { ClipData } from "./clip"
import type { TemplateMode } from "@/api/editing-planner"
import type { AssetItem } from "@/api/assets"
import type { TitleConfig } from "@/api/template-editor"
export interface SubtitleSettings {
enabled: boolean
@@ -28,6 +29,10 @@ export interface BgmSettings {
}
export interface ClipPropertiesPanelProps {
/** 标题配置 — #1789 */
titleConfig?: TitleConfig
/** 标题配置变更 */
onTitleConfigChange?: (config: TitleConfig | ((prev: TitleConfig) => TitleConfig)) => void
selectedClip: ClipData | null
subtitleSettings: SubtitleSettings
bgmSettings: BgmSettings
@@ -13,6 +13,8 @@ export const formatTrimTime = (sec: number): string => {
/** 生成时间标尺刻度 */
export const generateRulerMarks = (totalDuration: number, step: number): number[] => {
const marks: number[] = []
// #1790: 无片段时不显示时间刻度
if (totalDuration <= 0) return marks
for (let t = 0; t <= totalDuration + step; t += step) {
marks.push(t)
}
+69 -53
View File
@@ -45,6 +45,7 @@ const GeneratePage: React.FC = () => {
selectedTemplate,
setSelectedTemplate,
userTemplates,
handleInvalidTemplate,
selectedMaterials,
setSelectedMaterials,
materialMode,
@@ -416,13 +417,11 @@ const GeneratePage: React.FC = () => {
/* ── 最终成片(单视频右侧播放) ── */
const finalVideo = generatedVideos[0]
/* ── 布局 class:步骤4标题页=预览+标题侧栏;步骤5/6批量=整行宽;步骤1~3=整行宽 ── */
/* ── 布局 class:步骤4标题页=预览+标题侧栏两栏;其余步骤(含步骤5确认生成、步骤6封面)=整行宽 ── */
const layoutClassName = useMemo(() => {
if (currentStep < 4) return "xx-generate-layout full-width"
if (currentStep === 4) return "xx-generate-layout step4-layout"
// 步骤5/6:批量网格需要整行宽度;单视频保持 表单+右侧成片 两栏
return isBatch ? "xx-generate-layout full-width" : "xx-generate-layout"
}, [currentStep, isBatch])
return "xx-generate-layout full-width"
}, [currentStep])
/* ================================================================
@@ -522,6 +521,7 @@ const GeneratePage: React.FC = () => {
selectedVoice={selectedVoice}
onSelectedVoiceChange={setSelectedVoice}
onServerClipsChange={setServerClips}
onTemplateInvalid={handleInvalidTemplate}
generating={generating}
generated={generated}
generateError={generateError}
@@ -543,6 +543,70 @@ const GeneratePage: React.FC = () => {
selectedVariantIds={selectedVariantIds}
/>
{/* ════ 步骤5(单视频):成片播放器置于按钮上方、居中展示 ════ */}
{currentStep === 5 && !isBatch && generated && finalVideo && (
<div
style={{
display: "flex",
flexDirection: "column",
alignItems: "center",
marginTop: 16,
}}
>
<h2
style={{
textAlign: "center",
marginBottom: 12,
fontSize: "1.5rem",
fontWeight: 600,
}}
>
🎬
</h2>
<div
style={{
display: "flex",
flexDirection: "column",
alignItems: "center",
background: "#000",
borderRadius: 12,
padding: 8,
maxWidth: 320,
width: "100%",
}}
>
<video
src={finalVideo.download_url || finalVideo.file_url}
controls
autoPlay
style={{
width: "auto",
maxWidth: "100%",
maxHeight: "70vh",
aspectRatio: "9 / 16",
objectFit: "contain",
borderRadius: 8,
}}
poster={finalVideo.thumbnail_url || undefined}
/>
<div style={{ display: "flex", gap: 8, marginTop: 12, justifyContent: "center" }}>
<button className="xx-btn xx-btn-ghost xx-btn-sm" onClick={handleDownload}>
</button>
<button className="xx-btn xx-btn-ghost xx-btn-sm" onClick={handleShare}>
🔗
</button>
<button
className="xx-btn xx-btn-ghost xx-btn-sm"
onClick={() => navigate("/app/products")}
>
📁
</button>
</div>
</div>
</div>
)}
<GenerateStepActions
currentStep={currentStep}
onPrev={goPrev}
@@ -554,54 +618,6 @@ const GeneratePage: React.FC = () => {
selectedCount={isBatch ? selectedVariantIds.length : 1}
/>
</div>
{/* ════ 步骤5/6(单视频):右侧成片播放器 ════ */}
{currentStep >= 5 && !isBatch && generated && finalVideo && (
<div className="xx-generate-right-col">
<div
className="xx-inline-video-player"
style={{
display: "flex",
justifyContent: "center",
alignItems: "center",
background: "#000",
borderRadius: 12,
padding: 8,
}}
>
<video
src={finalVideo.download_url || finalVideo.file_url}
controls
autoPlay={currentStep === 5}
// 竖屏自适应(#1750):成片固定 1080×19209:16),元数据到达前按 9:16 占位,
// 到达后浏览器按真实宽高比 contain;黑底居中杜绝左右大黑边
style={{
width: "auto",
maxWidth: "100%",
maxHeight: "70vh",
aspectRatio: "9 / 16",
objectFit: "contain",
borderRadius: 8,
}}
poster={finalVideo.thumbnail_url || undefined}
/>
<div style={{ display: "flex", gap: 8, marginTop: 12, justifyContent: "center" }}>
<button className="xx-btn xx-btn-ghost xx-btn-sm" onClick={handleDownload}>
</button>
<button className="xx-btn xx-btn-ghost xx-btn-sm" onClick={handleShare}>
🔗
</button>
<button
className="xx-btn xx-btn-ghost xx-btn-sm"
onClick={() => navigate("/app/products")}
>
📁
</button>
</div>
</div>
</div>
)}
</div>
{/* 数量选择弹窗 */}
@@ -38,7 +38,7 @@ const BatchGenerationGrid: React.FC<BatchGenerationGridProps> = ({
className="xx-batch-gen-grid"
style={{
display: "grid",
gridTemplateColumns: "repeat(auto-fill, minmax(160px, 180px))",
gridTemplateColumns: "repeat(auto-fill, minmax(280px, 320px))",
justifyContent: "center",
justifyItems: "center",
gap: 14,
@@ -52,7 +52,7 @@ const BatchGenerationGrid: React.FC<BatchGenerationGridProps> = ({
<div
key={task.taskId}
className={`xx-batch-gen-card status-${task.status}`}
style={{ maxWidth: 240 }}
style={{ maxWidth: 320 }}
>
<div className="xx-batch-gen-card-head">
<span className="xx-batch-gen-card-title" title={title}>
@@ -50,6 +50,8 @@ export interface GenerateStepContentProps {
selectedVoice: string
onSelectedVoiceChange: (id: string) => void
onServerClipsChange: (clips: EditPlanClip[]) => void
/** 当前模板创建片段被判失效(404/400/422)时的自动回退回调(#1777 */
onTemplateInvalid?: () => boolean
/* 生成 */
generating: boolean
generated: boolean
@@ -108,6 +110,7 @@ export const GenerateStepContent: React.FC<GenerateStepContentProps> = (props) =
selectedVoice,
onSelectedVoiceChange,
onServerClipsChange,
onTemplateInvalid,
generating,
generated,
generateError,
@@ -153,6 +156,7 @@ export const GenerateStepContent: React.FC<GenerateStepContentProps> = (props) =
selectedTemplate={selectedTemplate}
templateSegments={templateSegments}
onServerClipsChange={onServerClipsChange}
onTemplateInvalid={onTemplateInvalid}
/>
)
case 3:
@@ -189,7 +193,7 @@ export const GenerateStepContent: React.FC<GenerateStepContentProps> = (props) =
/>
)
case 5:
/* 确认生成页:批量=逐任务进度网格;单视频=进度状态卡(成片播放器在左侧大区域 */
/* 确认生成页:批量=逐任务进度网格;单视频=仅渲染进度/失败状态(完成后只显示成片播放器,播放器在按钮上方 */
if (previewCount > 1) {
return (
<BatchGenerationGrid
@@ -199,10 +203,10 @@ export const GenerateStepContent: React.FC<GenerateStepContentProps> = (props) =
/>
)
}
/* 单视频:渲染进度 / 失败重试 / 完成提示(成片播放器在右侧栏) */
/* 单视频:生成中显示进度卡、失败显示重试卡;生成完成后不再渲染提示卡,页面只保留成片播放器+操作按钮 */
if (generated && !generating && !generateError) return null
return (
<div className="xx-form-section">
<h3>🎬 </h3>
{generating && (
<div className="xx-gen-progress-card">
<div className="xx-gen-progress-header">
@@ -234,14 +238,6 @@ export const GenerateStepContent: React.FC<GenerateStepContentProps> = (props) =
</button>
</div>
)}
{generated && !generating && (
<div className="xx-gen-success-card">
<div className="xx-gen-success-info">
<div className="xx-gen-success-title"> </div>
<div className="xx-gen-success-sub"></div>
</div>
</div>
)}
</div>
)
case 6:
@@ -23,6 +23,8 @@ interface Step2MaterialSelectProps {
templateSegments?: TemplateSegment[]
/** 服务端 clips 创建成功后的回调 */
onServerClipsChange?: (clips: EditPlanClip[]) => void
/** 当前模板创建片段返回 404/400/422(模板失效)时的自动回退回调(#1777) */
onTemplateInvalid?: () => boolean
}
const Step2MaterialSelect: React.FC<Step2MaterialSelectProps> = (props) => {
@@ -36,16 +38,25 @@ const Step2MaterialSelect: React.FC<Step2MaterialSelectProps> = (props) => {
<div className="xx-form-field" style={{ marginTop: 12 }}>
<label></label>
<select
value={m.selectedLibraryId}
onChange={(e) => m.setSelectedLibraryId(e.target.value)}
>
{m.libraries.map((lib) => (
<option key={lib.id} value={lib.id}>
{lib.name}
</option>
))}
</select>
{m.libraries.length === 0 && !m.materialsLoading ? (
<div className="xx-empty-state">
<p></p>
<p style={{ fontSize: 13, color: "var(--text-tertiary)" }}>
</p>
</div>
) : (
<select
value={m.selectedLibraryId}
onChange={(e) => m.setSelectedLibraryId(e.target.value)}
>
{m.libraries.map((lib) => (
<option key={lib.id} value={lib.id}>
{lib.name}
</option>
))}
</select>
)}
</div>
{m.materialMode === "manual" && (

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