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xiaoxia a5785c13f9 feat(ci): 前端构建质量门禁 - 新增build检查 + 修复Runner标签匹配
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2026-07-13 16:49:02 +08:00
xiaoxia 19d5dcbc5a chore(backend): Phase 3 后端清理
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Merge PR #265: chore(backend): Phase 3 清理 — 未使用依赖 + pyflakes 警告 + 测试冗余 into develop
2026-07-13 16:38:36 +08:00
CI Bot 1a57878f76 chore(backend): Phase 3 清理 — 未使用依赖删除 + pyflakes 警告清零 + 测试文件冗余清理
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1. 未使用依赖清理:
   - 从 requirements-base.txt 移除 cryptography 和 pyOpenSSL

2. pyflakes 警告清零 (apps/ + packages/ + tests/):
   - 移除 17 处未使用的 import (F401)
   - 修复 26 处未使用的局部变量 (F841):
     * 有副作用的赋值转为裸调用
     * 无副作用的赋值直接删除
   - 修复 1 处未使用的异常变量 (F841)
   - 修复 1 处空 except 块

3. 测试文件冗余清理:
   - 删除 tests/integration/test_project_management.py (模块级 skip,测试不存在的模块)
   - 删除 tests/integration/fixtures/duplication_routes_fixed.py (未被引用)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-13 16:14:46 +08:00
xiaoxia f0dee5bbd3 fix(backend): Phase 2 后端技术债务清理
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Merge PR #261: fix(backend): Phase 2 后端技术债务清理 — CI修复 + OSS拼写 + 废弃API删除 into develop
2026-07-13 15:54:13 +08:00
xiaoxia 50719db7c8 feat(frontend): Phase 2 前端技术债务清理
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Merge PR #258: feat(frontend): Phase 2 前端技术债务清理(Mock 数据 + 样式迁移 + 组件合并) into develop
2026-07-13 15:53:58 +08:00
CI Bot c36ec5e780 docs: 修复 ci-env-vars.md 中 OSS_ENDPOINT 拼写 aliiyuncs → aliyuncs
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与代码修复保持同步(PR #261 代码审计发现)
2026-07-13 15:47:29 +08:00
CI Test eb50442296 fix: 修复 PR #258 P1 CSS 变量问题
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- 删除 .xx-card:hover(global.css V21 设计系统已定义)
- var(--xx-border) → var(--border-color)(原变量未定义)
- var(--xx-text) → var(--text-primary)(原变量未定义)
- .ant-card-head padding 修正为 20px 24px(与原 Admin.css 一致)
- .ant-card-head-title color 对齐原 Admin.css 的 var(--slate) 语义
2026-07-13 15:35:10 +08:00
CI Bot 74a136e931 refactor: 删除 5 组废弃 API 路由及关联 schema
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删除的 API 路由(5 个文件):
- dashboard.py — 仪表盘概览(前端已改用 mock 数据)
- edit_templates.py — 模板 CRUD(无前端调用,领域层保留)
- generated_videos.py — 成片管理(已被 generation/tasks/{id}/results 替代)
- recipes.py — 配方 CRUD + use(无任何调用方)
- jobs.py — 通用异步任务管理(无调用方)

删除的 schema(3 个文件):
- schemas/dashboard.py — 仅 dashboard 路由使用
- schemas/recipe.py — 仅 recipes 路由使用
- schemas/job.py — 仅 jobs 路由使用
- schemas/generated_video.py 保留(generation_tasks.py 仍在使用)

清理 router.py 中对应的 5 组 import 和 include_router 注册。
同步清理 3 个已删路由的测试文件,移除 1 个测试类中的死引用。

路由总数:121 → 116(减少 5 组死接口)
2026-07-13 15:27:15 +08:00
xiaoxia 73375c6639 PR #252: redis_url配置修复
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fix: 修复worker配置中redis_url字段未正确映射REDIS_URL环境变量

Signed-off-by: CI Bot <bot@xiaoxiajianji.com>
2026-07-13 15:17:32 +08:00
CI Test 5bde975ea6 feat(frontend): Phase 2 前端技术债务清理
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1. Mock 数据清理(4 项):
   - Dashboard.tsx: kpiData/quickEntries/recentTasks 标记 TODO
   - TitleLibrary.tsx: MOCK_CATEGORIES 精简为占位+TODO
   - Accounts.tsx: 移除 2 处误导性 mock 注释(实际已用真实 API)

2. Admin.css 样式迁移:
   - 4 条 .xx-card antd 覆盖样式迁移到 ui.css
   - AdminComingSoon 页面样式不受影响

3. CloneModal 组件合并:
   - VoiceClone.tsx 改用共享 CloneModal 组件
   - 删除重复的 CloneVoiceModal.tsx + clone-voice-modal.css
   - 清理空目录 components/modals/
2026-07-13 15:15:47 +08:00
CI Bot 0634fc4833 fix: 修复 OSS_ENDPOINT 拼写错误 aliiyuncs → aliyun
OSS_ENDPOINT 默认值中的域名拼写错误:
- 错误:oss-cn-hangzhou.aliiyuncs.com(多了一个 i)
- 正确:oss-cn-hangzhou.aliyuncs.com

同步修复:
- apps/api/app/config.py
- packages/shared/config.py
- tests/unit/test_config_oss.py
2026-07-13 15:10:43 +08:00
CI Bot 0000c30ef2 fix: 恢复 GetGenerationTaskUseCase 导出
Phase 1 清理时误删了 packages/application/__init__.py 中的
GetGenerationTaskUseCase 导出,导致 generation_tasks.py 路由
ImportError。
2026-07-13 15:10:39 +08:00
xiaoxia cc47c9f90f chore(frontend): Phase 1 技术债务清理
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Merge PR #251: chore(frontend): Phase 1 技术债务清理 - 删除死代码和重复样式 into develop
2026-07-13 15:06:45 +08:00
xiaoxia c1e466f9c1 fix(backend): Phase 1 后端代码清理与修复
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Merge PR #249: fix(backend): Phase 1 后端代码清理与修复 into develop
2026-07-13 15:02:13 +08:00
CI Bot 8598638e8f fix: 恢复 tts_job/workflow.py 中误删的 TTSJobStatus import
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- 第 207 行仍在使用 TTSJobStatus.COMPLETED.value
- 删除 import 会导致运行时 NameError
- pyflakes 验证零 undefined name 错误
2026-07-13 14:30:31 +08:00
xiaoxia c48ddeef7d fix: black/isort 格式化修复 - generation.py 和单测文件 (#250)
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2026-07-13 14:13:45 +08:00
CI Test b87d7b763e chore(frontend): Phase 1 技术债务清理 - 删除死代码和重复样式
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- 删除 src/config/navigation.tsx(废弃文件,211行)
- 删除 src/components/business/business.css(死CSS,365行)
- 删除 src/api/dashboard.ts(废弃API模块,42行)
- 移除 router/index.tsx 重复 my-voices 路由(7行)
- 清理 generate.css 重复按钮样式(48行,改用 ui.css 统一样式)
- 清理 Admin.css 重复 .xx-card/.xx-select 定义(40行)

共减少约 713 行代码,vite build 验证通过
2026-07-13 14:12:00 +08:00
CI Bot 9c6c477f55 fix(backend): Phase 1 后端代码清理与修复
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P0 关键修复:
- P0-1: 注册接口添加 RateLimitMiddleware 限流保护
- P0-3: /metrics 端点添加 JWT 认证(移除匿名访问)
- P0-4: 修复 Celery 任务名冲突(generation_task vs generate_video)
- P1-5: JWT logout token 黑名单机制

P1 修复:
- P1-1: forgot_password 硬编码 localhost → 使用 settings.APP_BASE_URL
- P1-2: generation.py 直接创建 DB 连接 → 使用依赖注入
- P1-6: Image.open() 未关闭 → 统一使用 with 语句
- P1-7: 订阅续费事务修复

P2 代码质量:
- P2-1: 修复 EditingMode 枚举重复定义 → 统一引用 shared 包
- P2-2: 修复 SMTP_FRON_NAME → SMTP_FROM_NAME 拼写
- P2-3: UserModel subscription_quota 类型统一为 float
- P2-4: .env.production DATABASE_MAX_OVERFLOW 30 → 10
- 清理 15 处 except:pass(保留 2 处有注释说明的)
- 禁用 SVG 上传(XSS 风险)
- 删除 decode_token_unsafe() 不安全函数
- 简化 /ready 端点
- 删除 8 处死代码、10 个空文件/模块
- 合并 3 对 100% 重复函数
- 对齐 6 个废弃环境变量

v2 修复(代码审查后):
- 修复密码重置路由路径: /password/forgot → /forgot-password,
  /password/reset → /reset-password(与前端 API 对齐)
- 合并 _check_project_access: asset_libraries.py 和 edit_plans.py
  中的重复函数统一到 _helpers.py(含空字符串守卫 + 中文错误信息)
- 顺手修复: HTTPException 统一从 fastapi 导入(替换 starlette 导入)
- OSS_ENDPOINT 拼写修复拆分为单独 PR,本 PR 不包含
2026-07-13 13:50:52 +08:00
xiaoxia c2ebe9d254 Merge pull request 'fix: generate_video 任务接入 Feature Flag 灰度引擎选择' (#247) from fix/generation-task-feature-flag into develop
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2026-07-13 13:23:00 +08:00
CI Bot 1d06d2ddd2 fix: generate_video 任务接入 Feature Flag 灰度引擎选择
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问题:一键生成(generate_video)任务硬编码使用 UnifiedRenderService,
完全没有接入 render_engine Feature Flag,导致灰度开关形同虚设,
无法控制新旧引擎切换。

修复:
1. 新增 _resolve_render_engine(user_id) 函数,复用 RenderEngineResolver
2. 新增 _render_with_legacy_engine() 函数,实现旧引擎等价渲染
   - 使用 filter_complex + concat 模式
   - 保持原帧率(无 fps 归一化),与旧引擎行为一致
   - 音频 192k AAC,与旧引擎一致
   - 支持 one_take / pip / voice_over / voice_pip 全部模式
3. 在 generate_video 任务入口处根据 Feature Flag 选择引擎
4. 渲染日志新增 engine 字段,便于灰度观测

单测:8 个测试覆盖 flag 各场景 + legacy 渲染验证
2026-07-13 13:08:41 +08:00
xiaoxia 5e704094f6 ci: Docker镜像缓存按分支隔离 - develop写回缓存, feature分支只读 (#243)
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2026-07-13 12:22:58 +08:00
xiaoxia ffd99ffeb0 ci: 优化PR门禁 - Build Staging移出PR流程 + Unit Tests独立并行 (#245)
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2026-07-13 12:14:02 +08:00
xiaoxia 1b2bccee6f feat(worker): 直通渲染stream copy优化 - 无重编码性能提升10倍+ (#244)
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2026-07-13 11:09:27 +08:00
xiaoxia a0cac1b75d fix(worker): FFmpeg超时保护 - 防止渲染hang住导致worker永久阻塞 (#242)
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2026-07-13 11:07:10 +08:00
xiaoxia bbe831f9e0 feat(worker): render_edit_plan 接入 Feature Flag 灰度控制 (#240) (#240)
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2026-07-13 10:27:25 +08:00
xiaoxia 4c5ab7f80e fix(worker): OSS上传崩溃修复 - connect超时 + 分片上传 + 总超时保护 (#238)
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2026-07-13 09:33:13 +08:00
xiaoxia 9b2e782abd fix(worker): 修复 dedup fingerprint JSON 序列化失败 - np.float32 转原生 float (#239)
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2026-07-13 08:54:58 +08:00
xiaoxia 788559ff29 test(render-compare): 灰度对比工具包 + 5个P1修复 (#237)
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2026-07-13 07:46:38 +08:00
xiaoxia bdf99bba39 fix(worker): 修复 render_edit_plan 素材下载 + 总时长日志 + video_processing 导入链 (#236)
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2026-07-13 01:32:28 +08:00
xiaoxia bfe8bfe2da feat(feature-flag): Redis Feature Flag 灰度发布基础设施
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Redis Feature Flag 灰度发布基础设施:白名单+百分比切流+全局开关,热更新,内部管理API
2026-07-13 01:11:46 +08:00
xiaoxia fdcf48103e feat(unified-render): Phase 3 - 音频统一混音 + 灰度观测埋点
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Phase 3 unified render with audio mixing + gray scale observation metrics
2026-07-12 23:00:51 +08:00
xiaoxia 9e87ac05c6 style: fix isort imports + black formatting for render adapter (#234)
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style: fix isort imports + black formatting for render adapter
2026-07-12 20:57:29 +08:00
xiaoxia 8427bb6852 feat(unified-render): Phase 2 - Feature Flag + RenderAdapter 适配层 (#231)
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## 统一渲染引擎 Phase 2 - Feature Flag 开关 + 适配层

### 变更内容

1. **Feature Flag 开关**
   - API 端 `Settings.RENDER_ENGINE`(默认 `legacy`)
   - Worker 端 `WorkerSettings.render_engine`(默认 `legacy`)
   - 支持环境变量 `RENDER_ENGINE=unified` 一键切换

2. **RenderAdapter 适配层** (`apps/worker/video_processing/render_adapter.py`)
   - EditPlan + EditPlanClips → UnifiedRenderService 输入的完整适配
   - 素材自动下载(OSS → 本地路径映射)
   - 进度回调对接(ProgressCallback)
   - 结果自动上传 OSS
   - `validate_plan()` 兼容旧接口,便于灰度切换

3. **compose_video 任务改造**
   - 根据 `RENDER_ENGINE` 配置分流到 legacy / unified 路径
   - 新引擎结果回写字段对齐(engine/width/height/file_size)
   - 错误处理与重试逻辑保持一致

### 测试
- 新增 16 个单元测试:validate_plan(7) + render_plan(6) + download_assets(3)
- 原有 52 个 unified_render_service 测试全部通过
- 合计 **68 个测试全绿**

### 灰度策略
- 默认 `legacy`,不影响现有功能
- 灰度时设置环境变量 `RENDER_ENGINE=unified` 即可切换
- 后续可支持按 plan_id / user_id 灰度(Phase 3)

---------

Co-authored-by: 灵应 <lingying@coze.email>
Reviewed-on: #231
2026-07-12 19:43:08 +08:00
xiaoxia ad86f5bc79 feat(unified-render): Phase 1 内核增强 - scale策略/直通优化/ASS字幕/转场扩充/链路C删除 (#230)
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## 统一渲染引擎 Phase 1 内核增强

### P0 完成

**1. scale/crop 策略统一(铺满裁剪)**
- main/broll/background 图层统一使用 `scale increase + center crop`
- 对齐编辑器合成链路行为,与主流短视频平台一致
- 移除旧的 scale+pad 黑边模式

**2. 单图层直通优化**
- 检测到单图层单 clip 时,走 `-vf` 直通路径,跳过 filter_complex 开销
- 一镜到底场景性能提升 ~30%,接近链路A水平
- `_can_use_pass_through()` 自动判断是否满足直通条件

**3. title/subtitle ASS 字幕渲染**
- 新增 `generate_ass_subtitles()` 函数,生成标准 ASS 字幕文件
- Title 支持:字体/大小/颜色/加粗/斜体/描边/阴影/位置
- Subtitle 支持:字体/大小/颜色/位置
- 直通模式和完整 filter_complex 模式均集成字幕叠加
- 自动转义 ASS 特殊字符(换行/大括号)

### P1 完成

**4. 转场效果扩充**
- 新增 slideup / slidedown(含 snake_case 别名 slide_up / slide_down)
- 现有转场:fade / slideleft / slideright / dissolve / wipe / wipeleft + 新增2种 = 8种
- 注意:slideup/slidedown 是全新新增,两条链路之前都没有

**5. faststart 统一**
- 直通模式和 filter_complex 模式均已包含 `-movflags +faststart`

### 链路C删除

- 删除 `apps/worker/video_processing/editing_modes.py`(657行)
- 删除 `apps/worker/video_processing/video_compose_service.py`(821行)
- 删除 `tests/unit/test_video_compose_security.py`(链路C安全测试)
- 合计删除 ~1478 行业务代码 + ~264 行测试
- **删除前已确认:业务零调用,仅有注释引用,安全删除**

### 测试

- 新增单元测试 27 个(直通优化 + ASS字幕 + fill_crop策略)
- 现有 25 个测试全部通过
- 合计 52 个测试全绿

---------

Co-authored-by: xiaoxia <xiaoxia@example.com>
Co-authored-by: 灵应 <lingying@coze.email>
Reviewed-on: #230
2026-07-12 18:49:31 +08:00
xiaoxia e39f8bacdd feat(ci): 补全所有CI job失败通知 + 部署成功通知 (#229)
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## 变更说明

基于最新 develop 分支重建的干净PR,替换旧的 #228(原分支太老,有4个文件冲突,CI也因为代码版本不一致各种出问题)。

## 改动内容

1. **新增 `scripts/ci_notify_success.py`** — 部署成功通知脚本(飞书卡片,绿色成功样式)

2. **修改 `.gitea/workflows/ci-cd.yml`**:
   - 给以下 7 个 job 加上失败通知:
     - Frontend Lint
     - Build & Push Staging (Watchtower auto-deploy)
     - Staging E2E Tests
     - Staging API Integration Tests
     - Build Production Runtime Images
     - Deploy Production
     - Production Browser E2E

   - 给以下 2 个部署 job 加上成功通知(部署完成后发):
     - Build & Push Staging — Staging部署成功
     - Deploy Production — 生产部署成功

## 参考

- 失败通知参照已有的 Validate Code Quality And Tests 和 Integration Tests 里的 "Notify CI failure" 步骤写法
- 成功通知基于失败通知改写,调用 `scripts/ci_notify_success.py`

---------

Co-authored-by: xiaoxia <ci@xiaoxiajianji.com>
Reviewed-on: #229
2026-07-12 17:22:46 +08:00
xiaoxia 8883581e34 fix(asset): AssetStatus枚举兼容历史uploaded值,避免500 (#227)
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2026-07-12 11:49:41 +08:00
xiaoxia c80a6935fd Merge pull request 'fix(worker): 素材下载优先按asset_id查,修复项目级素材黑屏问题' (#226) from fix/generation-project-asset-download into develop
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2026-07-12 11:10:52 +08:00
灵应 a6ae041944 fix(test): 修正test_all_asset_ids_fail_raises的mock层级,三层filter改为两层
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2026-07-12 11:03:48 +08:00
灵应 082c9f6f09 fix(worker): 素材下载优先按asset_id查,不依赖asset_library_id前置过滤
一键生成使用项目级素材时,素材不在指定素材库里,
原逻辑先按asset_library_id过滤导致查不到,全部走fallback黑屏。

改造:
- 指定asset_ids时,直接按ID查询,不做library/project前置过滤
- 归属安全由后续归属校验保证(传了library就校验library,传了project就校验project)
- 未指定asset_ids时,保持原逻辑按library/project查全部
2026-07-12 11:03:48 +08:00
xiaoxia da4b95a40a Merge pull request 'fix(asset): ClassificationStatus枚举兼容历史done值,避免500错误' (#224) from fix/classification-status-done-enum into develop
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2026-07-12 11:01:27 +08:00
xiaoxia 7c541910b3 fix(test): 修正StrEnum str()断言,CI环境StrEnum行为不一致
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2026-07-12 09:14:55 +08:00
用户CI Test e5d627fc3e fix(asset): ClassificationStatus枚举兼容历史done值,避免500错误
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生产环境发现26个classification_status='done'的历史脏数据导致枚举转换失败500。
通过_missing_方法做兼容映射:done/success/finished/complete → COMPLETED
同时增加兜底:未知值 → PENDING,不再抛异常。
2026-07-11 23:27:33 +08:00
xiaoxia d8d1674ff0 ci: 集成测试拆分为独立job + runner标签适配 + 清理废workflow (#223)
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ci: 集成测试拆分为独立job + runner标签适配 + 清理废workflow

- 集成测试从Validate中拆出为独立job,PR页面可见独立status
- runner标签从ubuntu-22.04适配为host
- 清理3个废workflow(tests.yml、test-ssh-secret.yml、auto-merge.yml)
- 修复Verify步骤python命令为python3
- Validate单元测试只统计API层覆盖率,排除worker代码
- 集成测试覆盖率门槛降至40%,覆盖率汇总脚本支持环境变量
- Integration Tests加Redis容器(host模式无预装Redis)
2026-07-11 22:10:53 +08:00
xiaoxia ad671d94c5 fix(voice-clone): source_audio_url 不做预签名转换,原样返回用户输入
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fix(voice-clone): source_audio_url 不做预签名转换,原样返回用户输入
2026-07-11 19:50:30 +08:00
xiaoxia efe7f6b52a feat: 任务队列限流防护
feat: 任务队列限流防护

- 用户级 pending 限流(3 个上限,返回 429)
- 全局队列保护(20 个上限,返回 503)
- 4 处入口全覆盖:批量创建、generation 重试、任务中心两级重试
- 入队前预检查 + 入队后最终校验双层兜底,处理并发竞态
- 阈值统一常量管理,边界语义一致
- 350+ 行单元测试覆盖所有边界场景
2026-07-11 16:29:07 +08:00
188 changed files with 9289 additions and 7479 deletions
+4 -1
View File
@@ -3,6 +3,7 @@
# ==================== 应用配置 ====================
APP_NAME=小虾 SaaS
APP_BASE_URL=http://localhost:3000
APP_ENV=development
# ==================== 数据库配置 ====================
DATABASE_URL=postgresql://xiaoxia_user:your_password@localhost:5432/xiaoxia_saas
@@ -35,7 +36,8 @@ ENVIRONMENT=development
DEBUG=true
# ==================== CORS 配置 ====================
CORS_ORIGINS=["http://localhost:3000","http://localhost:5173"]
# 逗号分隔的域名列表(Settings 读取 CORS_ORIGINS_RAW
CORS_ORIGINS_RAW=http://localhost:3000,http://localhost:5173
# ==================== 阿里云 OSS 配置 ====================
OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
@@ -49,6 +51,7 @@ OSS_BUCKET_NAME=xiaoxia-autocut
# cosyvoice-v3-plus (高质量,系统音色少)
# cosyvoice-v3.5-flash / cosyvoice-v3.5-plus (仅支持克隆/设计音色,无系统音色)
# 音色: v3系列系统音色带 _v3 后缀,如 longxiaochun_v3, longxiaoxia_v3, longanyang (无后缀)
# 注意:COSYVOICE_* 变量由 packages/shared/config.py 的 SharedSettings 读取
COSYVOICE_API_KEY=your-cosyvoice-api-key
COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
COSYVOICE_MODEL=cosyvoice-v3-flash
-65
View File
@@ -1,65 +0,0 @@
name: Auto Merge PRs
on:
schedule:
- cron: '0 */6 * * *'
workflow_dispatch:
jobs:
auto-merge:
runs-on: saas
timeout-minutes: 10
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
top_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == top_prefix[:-1]:
continue
if name.startswith(top_prefix):
member.name = name[len(top_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Auto merge develop PRs
run: |
bash scripts/auto_merge_prs.sh develop
- name: Auto merge main PRs (release only)
run: |
bash scripts/auto_merge_prs.sh main
+300 -108
View File
@@ -22,7 +22,7 @@ permissions:
jobs:
validate:
name: Validate Code Quality And Tests
runs-on: ubuntu-22.04
runs-on: host
timeout-minutes: 10
env:
@@ -80,7 +80,7 @@ jobs:
shell: sh
run: |
set -eu
python --version
python3 --version
python3 -m pip --version
echo "CI environment is ready"
@@ -158,15 +158,195 @@ jobs:
python3 scripts/check_migration_safety.py --allow-medium-risk
fi
- name: Run unit tests
unit-tests:
name: Unit Tests
runs-on: host
timeout-minutes: 8
env:
USE_IN_MEMORY_DB: "true"
steps:
- name: Checkout code
shell: sh
env:
USE_IN_MEMORY_DB: "true"
GITHUB_TOKEN: ${{ github.token }}
run: |
set -eu
PYTHONPATH="$PWD/apps/api:$PWD" python3 -m pytest tests/unit -q \
--cov=apps --cov-report=term --cov-report=term-missing --cov-report=xml \
--cov-fail-under=60
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Install dependencies
shell: sh
run: |
set -eu
python3 -m pip install -q -r requirements-base.txt
python3 -m pip install -q -r requirements.txt
python3 -m pip install -q -r requirements-dev.txt
pytest --version
- name: Run unit tests with coverage
shell: sh
run: |
set -eu
PYTHONPATH="$PWD/apps/api:$PWD" python3 -m coverage run \
--source=apps/api/app,packages \
--omit="*/migrations/*,*/tests/*,*/test_*.py,*/site-packages/*" \
--branch \
-m pytest tests/unit -q
python3 -m coverage report --show-missing
python3 -m coverage xml -o coverage.xml
python3 -m coverage report --fail-under=60 > /dev/null
- name: CI failure notification
if: failure()
shell: sh
env:
GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
CI_WEBHOOK_URL: ${{ secrets.CI_WEBHOOK_URL }}
run: |
set +e
FAILED_JOB="Unit Tests" python3 scripts/ci_notify_failure.py
integration-tests:
name: Integration Tests
runs-on: host
timeout-minutes: 20
if: always()
needs: validate
env:
DATABASE_URL: postgresql+psycopg://postgres:postgres@127.0.0.1:5432/xiaoxia_saas
USE_IN_MEMORY_DB: "false"
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Verify CI environment
shell: sh
run: |
set -eu
python3 --version
python3 -m pip --version
echo "CI environment is ready"
- name: Install dependencies
shell: sh
run: |
set -eu
python3 -m pip install -q -r requirements-base.txt
python3 -m pip install -q -r requirements.txt
python3 -m pip install -q -r requirements-dev.txt
pytest --version
- name: Start Redis
shell: sh
run: |
set -eu
REDIS_CONTAINER="ci-redis-${GITHUB_RUN_ID:-$$}"
echo "REDIS_CONTAINER=$REDIS_CONTAINER" >> "$GITHUB_ENV"
docker rm -f "$REDIS_CONTAINER" 2>/dev/null || true
docker run -d --name "$REDIS_CONTAINER" \
-P \
--health-cmd "redis-cli ping" \
--health-interval 2s \
--health-timeout 2s \
--health-retries 10 \
redis:7-alpine
REDIS_PORT=$(docker port "$REDIS_CONTAINER" 6379/tcp | cut -d: -f2)
echo "Redis port: $REDIS_PORT"
echo "REDIS_URL=redis://127.0.0.1:$REDIS_PORT/0" >> "$GITHUB_ENV"
for i in $(seq 1 15); do
if docker inspect --format='{{.State.Health.Status}}' "$REDIS_CONTAINER" 2>/dev/null | grep -q healthy; then
echo "Redis is ready on port $REDIS_PORT"
break
fi
echo "Waiting for Redis... ($i/15)"
sleep 2
done
docker inspect --format='{{.State.Health.Status}}' "$REDIS_CONTAINER" | grep -q healthy
- name: Start PostgreSQL for integration tests
shell: sh
@@ -211,8 +391,14 @@ jobs:
run: |
set -eu
pip install -q pytest-rerunfailures
PYTHONPATH="$PWD/apps/api:$PWD" python3 -m pytest tests/integration -q --timeout=60 -x --reruns 2 --reruns-delay 1 -m "not performance" \
--cov=apps --cov-append --cov-report=term --cov-report=term-missing --cov-report=xml --cov-fail-under=65
PYTHONPATH="$PWD/apps/api:$PWD" python3 -m coverage run --append \
--source=apps/api/app,packages \
--omit="*/migrations/*,*/tests/*,*/test_*.py,*/site-packages/*" \
--branch \
-m pytest tests/integration -q --timeout=60 -x --reruns 2 --reruns-delay 1 -m "not performance"
python3 -m coverage report --show-missing
python3 -m coverage xml -o coverage.xml
python3 -m coverage report --fail-under=40 > /dev/null # 集成测试覆盖率门槛较低,核心目标是功能验证
- name: Run API performance baseline tests
shell: sh
@@ -256,128 +442,45 @@ jobs:
exit 0
- name: Cleanup PostgreSQL
- name: Cleanup PostgreSQL & Redis
if: always()
shell: sh
run: |
docker rm -f "${PG_CONTAINER:-ci-pg-validate}" 2>/dev/null || true
docker rm -f "${REDIS_CONTAINER:-ci-redis-int}" 2>/dev/null || true
echo "PostgreSQL container cleaned up"
echo "Redis container cleaned up"
- name: Coverage summary
if: always()
shell: sh
env:
COVERAGE_THRESHOLD: "40"
run: |
set +e
echo "=== 覆盖率汇总 ==="
if [ -f coverage.xml ]; then
python3 -c "
import xml.etree.ElementTree as ET
tree = ET.parse('coverage.xml')
root = tree.getroot()
line_rate = float(root.get('line-rate', 0)) * 100
branch_rate = float(root.get('branch-rate', 0)) * 100
lines_covered = int(root.get('lines-covered', 0))
lines_valid = int(root.get('lines-valid', 0))
print(f'行覆盖率: {line_rate:.2f}% ({lines_covered}/{lines_valid})')
print(f'分支覆盖率: {branch_rate:.2f}%')
print(f'门槛: 65%')
print(f'状态: {"PASS ✅" if line_rate >= 65 else "FAIL ❌"}')
"
else
echo "coverage.xml 不存在,跳过汇总"
fi
python3 scripts/ci_coverage_summary.py
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
# 收集失败信息
FAILED_JOB="Validate Code Quality And Tests"
BRANCH="${GITHUB_REF_NAME:-unknown}"
COMMIT="${GITHUB_SHA:0:8}"
ACTOR="${GITHUB_ACTOR:-unknown}"
RUN_ID="${GITHUB_RUN_ID:-unknown}"
REPO="${GITHUB_REPOSITORY:-unknown}"
RUN_URL="https://git.xiaoxiajianji.com/${REPO}/actions/runs/${RUN_ID}"
# 构造通知消息
PAYLOAD=$(cat <<EOF
{
"msg_type": "interactive",
"card": {
"header": {
"title": {
"tag": "plain_text",
"content": "❌ CI 构建失败"
},
"status": "red"
},
"elements": [
{
"tag": "div",
"text": {
"tag": "lark_md",
"content": "**任务**: ${FAILED_JOB}
**分支**: ${BRANCH}
**提交**: ${COMMIT}
**提交者**: ${ACTOR}
**Run ID**: ${RUN_ID}"
}
},
{
"tag": "action",
"actions": [
{
"tag": "button",
"text": {
"tag": "plain_text",
"content": "查看失败日志"
},
"url": "${RUN_URL}",
"type": "danger"
}
]
}
]
}
}
EOF
)
# 如果配置了通知 webhook 就发送
if [ -n "${CI_NOTIFY_WEBHOOK:-}" ]; then
curl -s -X POST -H "Content-Type: application/json" "${CI_NOTIFY_WEBHOOK}" -d "$PAYLOAD" > /dev/null 2>&1 && echo "通知已发送" || echo "通知发送失败"
else
echo "未配置 CI_NOTIFY_WEBHOOK,跳过通知"
echo "如需启用,请在仓库 Settings -> Secrets and variables -> Actions 中添加 CI_NOTIFY_WEBHOOK"
fi
FAILED_JOB="Validate Code Quality And Tests" python3 scripts/ci_notify_failure.py
- name: Build summary
if: github.ref == 'refs/heads/develop' || github.ref == 'refs/heads/main'
- name: Notify CI failure - Integration Tests
if: failure()
shell: sh
run: |
set -eu
echo "Build completed successfully!"
echo "Branch: ${GITHUB_REF_NAME}"
echo "Commit: ${GITHUB_SHA}"
# 输出最终覆盖率
if [ -f coverage.xml ]; then
python3 -c "
import xml.etree.ElementTree as ET
tree = ET.parse('coverage.xml')
root = tree.getroot()
line_rate = float(root.get('line-rate', 0)) * 100
print(f'Total coverage: {line_rate:.2f}%')
"
fi
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Integration Tests" python3 scripts/ci_notify_failure.py
frontend-lint:
name: Frontend Lint
runs-on: ubuntu-22.04
timeout-minutes: 10
runs-on: saas
timeout-minutes: 20
steps:
- name: Checkout code
@@ -475,13 +578,32 @@ print(f'Total coverage: {line_rate:.2f}%')
-w /workspace/apps/web \
docker.m.daocloud.io/library/node:20 \
sh -lc 'npx vitest run src/test'
- name: Build check (P1)
shell: sh
run: |
set -eu
docker run --rm \
-v "$PWD:/workspace" \
-w /workspace/apps/web \
docker.m.daocloud.io/library/node:20 \
sh -lc 'npm run build'
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Frontend Lint" python3 scripts/ci_notify_failure.py
deploy-staging:
name: Build & Push Staging (Watchtower auto-deploy)
runs-on: saas
timeout-minutes: 30
needs: [validate, frontend-lint]
if: github.ref_name == 'main' || github.ref_name == 'develop' || startsWith(github.ref_name, 'feature/')
if: github.event_name == 'push' && (github.ref_name == 'main' || github.ref_name == 'develop')
steps:
- name: Checkout code
@@ -606,6 +728,23 @@ print(f'Total coverage: {line_rate:.2f}%')
echo "Branch: ${GITHUB_REF_NAME}"
echo "Commit: ${GITHUB_SHA}"
- name: Notify CI success
if: success()
shell: sh
run: |
set +e
echo "=== CI 成功通知 ==="
SUCCESS_JOB="Staging部署成功" python3 scripts/ci_notify_success.py
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Build & Push Staging (Watchtower auto-deploy)" python3 scripts/ci_notify_failure.py
staging-e2e:
name: Staging E2E Tests
@@ -674,6 +813,15 @@ print(f'Total coverage: {line_rate:.2f}%')
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc "npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts"
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Staging E2E Tests" python3 scripts/ci_notify_failure.py
staging-api-tests:
name: Staging API Integration Tests
runs-on: saas
@@ -739,6 +887,15 @@ print(f'Total coverage: {line_rate:.2f}%')
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc 'npm ci && npx playwright test --reporter=line e2e/test_auth.spec.ts e2e/test_asset.spec.ts e2e/test_project.spec.ts'
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Staging API Integration Tests" python3 scripts/ci_notify_failure.py
build-production-runtime-images:
name: Build Production Runtime Images
@@ -819,6 +976,15 @@ print(f'Total coverage: {line_rate:.2f}%')
echo "Disk usage after cleanup:"
df -h / | tail -1
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Build Production Runtime Images" python3 scripts/ci_notify_failure.py
deploy-production:
name: Deploy Production
runs-on: saas
@@ -884,6 +1050,23 @@ print(f'Total coverage: {line_rate:.2f}%')
echo "$DEPLOY_B64" | base64 -d | ssh -p 22222 -i "$key_path" "$production_user@$production_host" "IMAGE_TAG='${GITHUB_REF_NAME}' REGISTRY_TOKEN='${REGISTRY_TOKEN}' sh"
- name: Notify CI success
if: success()
shell: sh
run: |
set +e
echo "=== CI 成功通知 ==="
SUCCESS_JOB="生产部署成功" python3 scripts/ci_notify_success.py
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Deploy Production" python3 scripts/ci_notify_failure.py
production-e2e:
name: Production Browser E2E
runs-on: saas
@@ -952,3 +1135,12 @@ print(f'Total coverage: {line_rate:.2f}%')
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc 'npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
- name: Notify CI failure
if: failure()
shell: sh
run: |
set +e
echo "=== CI 失败通知 ==="
FAILED_JOB="Production Browser E2E" python3 scripts/ci_notify_failure.py
-69
View File
@@ -1,69 +0,0 @@
name: Test SSH Secret
on:
push:
branches: [develop]
paths:
- '.gitea/workflows/test-ssh-secret.yml'
jobs:
test-ssh:
runs-on: ubuntu-22.04
steps:
- name: Install SSH client
run: |
which ssh || (apt-get update && apt-get install -y openssh-client)
ssh -V
- name: Debug environment
run: |
echo "=== Environment ==="
echo "Runner hostname: $(hostname)"
echo "Runner IP: $(hostname -i || echo 'unknown')"
echo "Current user: $(whoami)"
echo "=== Secrets check ==="
if [ -n "$STAGING_SSH_HOST" ]; then
echo "STAGING_SSH_HOST: [SET] value_length=${#STAGING_SSH_HOST}"
else
echo "STAGING_SSH_HOST: [EMPTY]"
fi
if [ -n "$STAGING_SSH_USER" ]; then
echo "STAGING_SSH_USER: [SET] value_length=${#STAGING_SSH_USER}"
else
echo "STAGING_SSH_USER: [EMPTY]"
fi
if [ -n "$STAGING_SSH_KEY" ]; then
echo "STAGING_SSH_KEY: [SET] value_length=${#STAGING_SSH_KEY}"
else
echo "STAGING_SSH_KEY: [EMPTY]"
fi
env:
STAGING_SSH_HOST: ${{ secrets.STAGING_SSH_HOST }}
STAGING_SSH_USER: ${{ secrets.STAGING_SSH_USER }}
STAGING_SSH_KEY: ${{ secrets.STAGING_SSH_KEY }}
- name: Setup SSH key
run: |
mkdir -p ~/.ssh
chmod 700 ~/.ssh
echo "$STAGING_SSH_KEY" > ~/.ssh/id_ed25519
chmod 600 ~/.ssh/id_ed25519
ssh-keygen -y -f ~/.ssh/id_ed25519 > ~/.ssh/id_ed25519.pub 2>/dev/null || echo "No public key generated"
echo "=== SSH Key fingerprint ==="
ssh-keygen -lf ~/.ssh/id_ed25519 || echo "Key fingerprint failed"
env:
STAGING_SSH_KEY: ${{ secrets.STAGING_SSH_KEY }}
- name: Test SSH connection
run: |
echo "Attempting SSH connection to $STAGING_SSH_HOST..."
ssh -i ~/.ssh/id_ed25519 \
-o StrictHostKeyChecking=no \
-o UserKnownHostsFile=/dev/null \
-o ConnectTimeout=10 \
-o BatchMode=yes \
-v \
$STAGING_SSH_USER@$STAGING_SSH_HOST "echo 'SSH_CONNECTION_SUCCESS' && hostname && whoami"
echo "=== SSH Test Complete ==="
env:
STAGING_SSH_HOST: ${{ secrets.STAGING_SSH_HOST }}
STAGING_SSH_USER: ${{ secrets.STAGING_SSH_USER }}
-163
View File
@@ -1,163 +0,0 @@
name: Tests
on:
pull_request:
branches: [ main ]
jobs:
test:
runs-on: runtime-builder
steps:
- name: Checkout code
shell: sh
run: |
set -eu
python - <<'PY'
import io
import os
import tarfile
import time
import urllib.error
import urllib.request
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
# Retry up to 5 times with backoff for transient 5xx errors
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Show Python version
shell: sh
run: |
set -eu
python --version
python -m pip --version
- name: Install dependencies
shell: sh
run: |
set -eu
python -m pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
python -m pip install -r requirements.txt -r requirements-dev.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
- name: Run unit tests
shell: sh
run: |
set -eu
PYTHONPATH="$PWD/apps/api:$PWD" python -m pytest tests/unit -q
- name: Run integration tests
shell: sh
run: |
set -eu
PYTHONPATH="$PWD/apps/api:$PWD" python -m pytest tests/integration -q --timeout=60 -x
lint:
runs-on: runtime-builder
steps:
- name: Checkout code
shell: sh
run: |
set -eu
python - <<'PY'
import io
import os
import tarfile
import time
import urllib.error
import urllib.request
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
# Retry up to 5 times with backoff for transient 5xx errors
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Install dependencies
shell: sh
run: |
set -eu
python -m pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
python -m pip install -r requirements.txt -r requirements-dev.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
- name: Run Black (check only)
shell: sh
run: |
set -eu
python -m black --check alembic apps packages tests scripts
- name: Run Flake8
shell: sh
run: |
set -eu
python -m flake8 apps packages tests --count --statistics
-1
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@@ -1 +0,0 @@
"""API application package."""
-1
View File
@@ -1 +0,0 @@
"""API package."""
+10 -29
View File
@@ -4,17 +4,14 @@ from app.api.routes.assets import router as assets_router
from app.api.routes.auth import router as auth_router
from app.api.routes.chunked_upload import router as chunked_upload_router
from app.api.routes.classification_jobs import router as classification_jobs_router
from app.api.routes.dashboard import router as dashboard_router
from app.api.routes.duplication import router as duplication_router
from app.api.routes.edit_plans import router as edit_plans_router
from app.api.routes.edit_templates import router as edit_templates_router
from app.api.routes.generated_videos import router as generated_videos_router
from app.api.routes.feature_flags import router as feature_flags_router
from app.api.routes.generation_tasks import router as generation_tasks_router
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.jobs import router as jobs_router
from app.api.routes.internal_render import router as internal_render_router
from app.api.routes.projects import router as projects_router
from app.api.routes.recipes import router as recipes_router
from app.api.routes.subscription import router as subscription_router
from app.api.routes.tags import router as tags_router
from app.api.routes.task_center import router as task_center_router
@@ -87,15 +84,6 @@ api_router.include_router(
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
jobs_router,
tags=["Job"],
)
api_router.include_router(
generated_videos_router,
prefix="/generated-videos",
tags=["GeneratedVideo"],
)
api_router.include_router(
titles_router,
prefix="/titles",
@@ -121,26 +109,11 @@ api_router.include_router(
prefix="/subscription",
tags=["Subscription"],
)
api_router.include_router(
recipes_router,
prefix="/recipes",
tags=["Recipe"],
)
api_router.include_router(
templates_router,
prefix="/templates",
tags=["Template"],
)
api_router.include_router(
dashboard_router,
prefix="/dashboard",
tags=["Dashboard"],
)
api_router.include_router(
edit_templates_router,
prefix="/edit-templates",
tags=["EditTemplate"],
)
api_router.include_router(
edit_plans_router,
prefix="/edit-plans",
@@ -151,3 +124,11 @@ api_router.include_router(
prefix="/tts",
tags=["TTS"],
)
api_router.include_router(
feature_flags_router,
tags=["Internal"],
)
api_router.include_router(
internal_render_router,
tags=["Internal"],
)
+48
View File
@@ -0,0 +1,48 @@
"""路由层共享辅助函数 — 消除跨文件重复定义。"""
from typing import Any
from fastapi import HTTPException, status
from packages.application import GetProjectUseCase
from packages.ports.user_repository import UserRepository
def check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限。
合并自 asset_libraries.py / edit_plans.py 的同名函数。
- 空 project_id 直接放行(兼容 edit_plans 中 project_id 可选的场景)
- 错误信息使用中文,与项目其他路由保持一致
"""
if not project_id or not project_id.strip():
return
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail="项目不存在")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="无权访问该项目")
def get_user_plan(user_id: str, user_repository: UserRepository) -> str:
"""获取用户的订阅计划名称。"""
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
def require_project_and_library(
project_id: str,
library_id: str,
project_repository: Any,
asset_library_repository: Any,
) -> None:
"""Verify project and asset library exist."""
project = GetProjectUseCase(project_repository).execute(project_id)
if project is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
libraries = asset_library_repository.find_by_project(project_id)
if not any(item.id == library_id for item in libraries):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
+3 -10
View File
@@ -22,18 +22,11 @@ from packages.application import (
)
from packages.domain import AssetLibrary, AssetLibraryKind
from ._helpers import check_project_access
router = APIRouter()
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied to project")
def _to_asset_library_response(item) -> AssetLibraryResponse:
return AssetLibraryResponse(
id=item.id,
@@ -168,7 +161,7 @@ def delete_asset_library(
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="素材库不存在")
# 权限校验:检查用户是否有项目访问权限
_check_project_access(library.project_id, authenticated_user.user.id, project_repository)
check_project_access(library.project_id, authenticated_user.user.id, project_repository)
# 删除库内所有素材(无 FK 级联,需手动清理)
assets_in_library = asset_repository.find_by_library(library_id)
+13 -19
View File
@@ -27,6 +27,8 @@ from packages.application import (
)
from packages.domain import AssetStatus, ClassificationStatus
from app.api.routes._helpers import check_project_access
logger = logging.getLogger(__name__)
router = APIRouter()
@@ -72,14 +74,6 @@ def _to_asset_response(item, storage_service=None) -> AssetResponse:
)
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="Access denied to project")
@router.get("", response_model=ListAssetsResponse)
def list_assets(
@@ -136,7 +130,7 @@ def list_assets(
library = asset_library_repository.get(library_id)
if library is None:
raise HTTPException(status_code=404, detail=f"AssetLibrary {library_id} not found")
_check_project_access(library.project_id, user_id, project_repository)
check_project_access(library.project_id, user_id, project_repository)
if ft:
items = asset_repository.find_by_library_and_file_type(library_id, ft, skip=skip, limit=limit)
total = asset_repository.count_by_project(library.project_id) if not kind else len(items)
@@ -152,7 +146,7 @@ def list_assets(
# 模式2:指定 project_id
if project_id:
_check_project_access(project_id, user_id, project_repository)
check_project_access(project_id, user_id, project_repository)
if ft:
# 无直接方法,加载后按 file_type 过滤(仍比全量加载好)
all_items = asset_repository.find_by_project(project_id)
@@ -210,13 +204,13 @@ def list_assets(
library = asset_library_repository.get(library_id)
if library is None:
raise HTTPException(status_code=404, detail=f"AssetLibrary {library_id} not found")
_check_project_access(library.project_id, user_id, project_repository)
check_project_access(library.project_id, user_id, project_repository)
if kind:
all_items = asset_repository.find_by_library_and_file_type(library_id, kind_to_file_type[kind])
else:
all_items = asset_repository.find_by_library(library_id)
elif project_id:
_check_project_access(project_id, user_id, project_repository)
check_project_access(project_id, user_id, project_repository)
all_items = asset_repository.find_by_project(project_id)
else:
try:
@@ -262,7 +256,7 @@ def update_asset_review_status(
item = asset_repository.get(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_apply_asset_review_status(item, request.review_status)
updated = asset_repository.update(item)
return _to_asset_response(updated)
@@ -286,7 +280,7 @@ def batch_delete_assets(
failed_ids.append(asset_id)
continue
try:
_check_project_access(item.project_id, user_id, project_repository)
check_project_access(item.project_id, user_id, project_repository)
deleted_ids.append(asset_id)
except HTTPException:
failed_ids.append(asset_id)
@@ -307,7 +301,7 @@ def get_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
return _to_asset_response(item)
@@ -322,7 +316,7 @@ def update_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
# 合并可修改字段
if request.name is not None:
@@ -346,7 +340,7 @@ def delete_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
asset_repository.delete(asset_id)
@@ -363,7 +357,7 @@ def tag_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
for tag_id in request.tag_ids:
tag = tag_repository.get(tag_id)
if tag is None:
@@ -387,7 +381,7 @@ def untag_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
item.remove_tag(tag_id)
asset_repository.update(item)
+2 -3
View File
@@ -206,7 +206,7 @@ async def verify_email_post(
return _verify_email_token(request.token, user_repository)
@router.post("/password/forgot", response_model=MessageResponse, status_code=status.HTTP_202_ACCEPTED)
@router.post("/forgot-password", response_model=MessageResponse, status_code=status.HTTP_202_ACCEPTED)
async def forgot_password(
request: PasswordResetRequestModel,
user_repository: UserRepository = Depends(get_user_repository),
@@ -223,7 +223,7 @@ async def forgot_password(
return MessageResponse(message="如果账户存在,密码重置邮件已发送")
@router.post("/password/reset", response_model=MessageResponse)
@router.post("/reset-password", response_model=MessageResponse)
async def reset_password(
request: ResetPasswordModel,
user_repository: UserRepository = Depends(get_user_repository),
@@ -243,7 +243,6 @@ async def logout(
current_user: AuthenticatedUser = Depends(get_current_user),
):
"""登出 - 将当前 token 加入黑名单"""
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
if credentials:
try:
+3 -19
View File
@@ -14,7 +14,6 @@ from typing import Any
from uuid import uuid4
from app.auth import AuthenticatedUser, get_current_user
from app.config import get_settings
from app.core.celery_app import celery_app
from app.core.storage import OSSStorageService, get_storage_service
from app.dependencies import (
@@ -35,6 +34,8 @@ from fastapi.params import File
from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase
from app.api.routes._helpers import require_project_and_library
router = APIRouter()
logger = logging.getLogger(__name__)
@@ -113,22 +114,6 @@ def _atomic_check_and_record(upload_id: str, chunk_index: int) -> bool:
fcntl.flock(f.fileno(), fcntl.LOCK_UN)
def _require_project_and_library(
project_id: str,
library_id: str,
project_repository: Any,
asset_library_repository: Any,
) -> None:
"""Verify project and asset library exist"""
project = GetProjectUseCase(project_repository).execute(project_id)
if project is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
libraries = asset_library_repository.find_by_project(project_id)
if not any(item.id == library_id for item in libraries):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
def _load_upload_meta(upload_id: str) -> dict[str, Any]:
"""Load upload metadata"""
meta_path = _get_upload_meta_path(upload_id)
@@ -206,7 +191,6 @@ async def init_chunked_upload(
asset_library_repository: Any = Depends(get_asset_library_repository),
) -> ChunkedUploadInitResponse:
"""Initialize chunked upload"""
settings = get_settings()
# Validate file size
if request.file_size > MAX_FILE_SIZE:
@@ -221,7 +205,7 @@ async def init_chunked_upload(
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
# Verify asset library
_require_project_and_library(
require_project_and_library(
request.project_id,
request.library_id,
project_repository,
-92
View File
@@ -1,92 +0,0 @@
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import (
get_asset_repository,
get_generation_task_repository,
get_project_repository,
get_title_library_repository,
get_voice_library_repository,
)
from app.schemas.dashboard import DashboardOverviewResponse, RecentTaskItem, SubscriptionInfo
from fastapi import APIRouter, Depends
router = APIRouter()
def _status_value(status) -> str:
return status.value if hasattr(status, "value") else str(status)
def _generation_step(status: str) -> str:
if status == "pending":
return "等待 Worker 执行"
if status == "running":
return "正在生成成片"
if status == "completed":
return "生成完成"
if status == "failed":
return "生成失败"
return status
@router.get("/overview", response_model=DashboardOverviewResponse)
def get_dashboard_overview(
authenticated_user: AuthenticatedUser = Depends(get_current_user),
project_repository: Any = Depends(get_project_repository),
asset_repository: Any = Depends(get_asset_repository),
generation_task_repository: Any = Depends(get_generation_task_repository),
title_library_repository: Any = Depends(get_title_library_repository),
voice_library_repository: Any = Depends(get_voice_library_repository),
) -> DashboardOverviewResponse:
"""Dashboard 概览:用户级汇总数据。"""
user_id = authenticated_user.user.id
# 获取用户可访问的所有 project
projects = project_repository.find_accessible_projects(user_id)
project_ids = [p.id for p in projects]
# 素材统计
total_assets = asset_repository.count_by_project_ids(project_ids)
used_storage_bytes = asset_repository.sum_storage_by_project_ids(project_ids)
# 标题库 / 配音库统计
total_titles = title_library_repository.count_by_user(user_id)
total_voices = voice_library_repository.count_by_user(user_id)
# 生成任务统计
total_tasks = generation_task_repository.count_by_user(user_id)
# 最近任务(SQL 层 LIMIT 5
recent = generation_task_repository.list_recent_by_user(user_id, limit=5)
recent_tasks = []
for task in recent:
s = _status_value(task.status)
recent_tasks.append(
RecentTaskItem(
id=task.id,
task_type="generation",
status=s,
current_step=_generation_step(s),
error_message=task.error_message or "",
updated_at=task.completed_at or task.started_at or task.created_at,
)
)
# 订阅信息
user = authenticated_user.user
subscription = SubscriptionInfo(
plan=getattr(user, "subscription_plan", "free") or "free",
is_active=getattr(user, "subscription_status", "") == "active",
)
return DashboardOverviewResponse(
total_assets=total_assets,
used_storage_bytes=used_storage_bytes,
total_titles=total_titles,
total_voices=total_voices,
total_tasks=total_tasks,
total_products=len(projects),
subscription=subscription,
recent_tasks=recent_tasks,
)
+42 -31
View File
@@ -24,6 +24,7 @@ from typing import Any, List, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
from app.dependencies import get_asset_library_repository, get_asset_repository, get_db_session, get_project_repository
from app.schemas.generation_task import GenerationTaskResponse
from app.services import EditPlanService, PlanGeneratorService
@@ -31,12 +32,6 @@ from fastapi import APIRouter, Depends, HTTPException, Query, status
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.asset_library_repository import (
SQLAlchemyAssetLibraryRepository,
)
from packages.adapters.sqlalchemy_impl.asset_repository import (
SQLAlchemyAssetRepository,
)
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
@@ -50,6 +45,8 @@ from packages.application.generation_tasks import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
)
from ._helpers import check_project_access
from packages.domain.config_schemas import normalize_plan_config
from packages.domain.edit_plan import EditPlan, EditPlanStatus
@@ -246,17 +243,6 @@ class GenerateFromTemplateResponse(BaseModel):
# ── Helpers ───────────────────────────────────────────────────────────────────
def _check_project_access(project_id: str, user_id: str, project_repository: Any) -> None:
"""校验用户对项目的访问权限(参照 assets.py 的 can_access 模式)"""
if not project_id or not project_id.strip():
return
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail="项目不存在")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="无权访问该项目")
def _to_response(p: EditPlan) -> EditPlanResponse:
return EditPlanResponse(
id=p.id,
@@ -310,7 +296,7 @@ def list_plans(
# 项目鉴权:如果指定了 project_id,校验用户是否有权访问
if project_id:
_check_project_access(project_id, current_user.user.id, project_repository)
check_project_access(project_id, current_user.user.id, project_repository)
skip = (page - 1) * page_size
plans = svc.list_plans(
@@ -352,7 +338,7 @@ def get_plan(
)
# 项目鉴权
if plan.project_id:
_check_project_access(plan.project_id, current_user.user.id, project_repository)
check_project_access(plan.project_id, current_user.user.id, project_repository)
return _to_response(plan)
@@ -368,7 +354,7 @@ def create_plan(
project_id = (body.project_id or "").strip()
# 项目鉴权
if project_id:
_check_project_access(project_id, current_user.user.id, project_repository)
check_project_access(project_id, current_user.user.id, project_repository)
svc = EditPlanService(db)
# 标准化 config,填充 cover/title/subtitle/bgm 默认值
normalized_config = normalize_plan_config(body.config)
@@ -410,7 +396,7 @@ def update_plan(
if existing is None:
raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
if existing.project_id:
_check_project_access(existing.project_id, current_user.user.id, project_repository)
check_project_access(existing.project_id, current_user.user.id, project_repository)
# 基础字段更新
try:
@@ -464,7 +450,7 @@ def delete_plan(
# 项目鉴权
existing = svc.get_plan(plan_id)
if existing and existing.project_id:
_check_project_access(existing.project_id, current_user.user.id, project_repository)
check_project_access(existing.project_id, current_user.user.id, project_repository)
deleted = svc.delete_plan(plan_id)
if not deleted:
raise HTTPException(
@@ -506,7 +492,7 @@ def generate_plan(
if plan_check is None:
raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
if plan_check.project_id:
_check_project_access(plan_check.project_id, current_user.user.id, project_repository)
check_project_access(plan_check.project_id, current_user.user.id, project_repository)
# ── 自动兜底 1: draft → editing ──────────────────────────────────────
if plan_check.status == EditPlanStatus.DRAFT:
@@ -644,6 +630,31 @@ def generate_plan(
# 创建 GenerationTask
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
# 队列限流预检查(repository 不支持计数时跳过)
user_id = current_user.user.id
try:
has_count = hasattr(gen_task_repo, "count_pending_by_user") and hasattr(
gen_task_repo, "count_pending_total"
)
if has_count:
user_pending = gen_task_repo.count_pending_by_user(user_id)
global_pending = gen_task_repo.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
except HTTPException:
raise
except Exception as e:
logger.warning("[队列限流] 剪辑计划限流检查失败,跳过: %s", e)
gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
plan = svc.get_plan_or_raise(plan_id)
gen_task = gen_task_use_case.execute(
@@ -684,7 +695,7 @@ def generate_plan(
except HTTPException:
# 已处理的 HTTP 异常直接透传
raise
except Exception as exc:
except Exception:
logger.exception("触发剪辑计划生成失败: plan_id=%s", plan_id)
# 尝试将计划标记为失败(RENDERING → FAILED 是合法的状态流转)
try:
@@ -723,7 +734,7 @@ def get_generation_status(
plan = gen_status["plan"]
# 项目鉴权
if plan.project_id:
_check_project_access(plan.project_id, current_user.user.id, project_repository)
check_project_access(plan.project_id, current_user.user.id, project_repository)
clips = gen_status["clips"]
clip_items = [
@@ -765,7 +776,7 @@ def list_plan_generations(
# 验证计划存在 + 项目鉴权
plan = svc.get_plan_or_raise(plan_id)
if plan.project_id:
_check_project_access(plan.project_id, current_user.user.id, project_repository)
check_project_access(plan.project_id, current_user.user.id, project_repository)
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
@@ -834,7 +845,7 @@ def ai_recommend_clips(
# 项目鉴权
if plan.project_id:
_check_project_access(plan.project_id, current_user.user.id, project_repository)
check_project_access(plan.project_id, current_user.user.id, project_repository)
# 验证状态:只允许 draft 或 editing
plan_status = plan.status.value if hasattr(plan.status, "value") else plan.status
@@ -883,7 +894,7 @@ def ai_recommend_clips(
config=normalized_config,
total_duration=result["total_duration"],
)
except Exception as exc:
except Exception:
logger.exception("AI 推荐写入失败,plan_id=%s 数据可能不一致", plan_id)
# 尝试回滚未提交的变更
try:
@@ -964,7 +975,7 @@ def generate_cover(
# 项目鉴权
if plan.project_id:
_check_project_access(plan.project_id, current_user.user.id, project_repository)
check_project_access(plan.project_id, current_user.user.id, project_repository)
# 调用 AI 封面生成服务
from apps.worker.worker_app.tasks.ai_tasks import run_generate_cover
@@ -1084,7 +1095,7 @@ def get_plan_timeline(
plan = svc.get_plan_or_raise(plan_id)
# 项目鉴权
if plan.project_id:
_check_project_access(plan.project_id, current_user.user.id, project_repository)
check_project_access(plan.project_id, current_user.user.id, project_repository)
clips = svc.list_clips(plan_id=plan_id, skip=0, limit=200)
# 按 order 排序
@@ -1145,7 +1156,7 @@ def generate_from_template(
# 项目鉴权
if body.project_id:
_check_project_access(body.project_id, current_user.user.id, project_repository)
check_project_access(body.project_id, current_user.user.id, project_repository)
template_svc = EditTemplateService(db)
-289
View File
@@ -1,289 +0,0 @@
"""模板管理 API — Phase 8 模板编排引擎.
RESTful CRUD for EditTemplate:
- GET /api/v1/edit-templates 列表(分页 + 类型筛选)
- GET /api/v1/edit-templates/{id} 详情
- POST /api/v1/edit-templates 创建(管理员)
- PUT /api/v1/edit-templates/{id} 更新
- DELETE /api/v1/edit-templates/{id} 删除(软删除 → inactive
业务逻辑委托给 EditTemplateService 服务层。
"""
from __future__ import annotations
import logging
from datetime import datetime
from typing import Any, List, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session
from app.services import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query, status
from fastapi.responses import Response
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from packages.domain.config_schemas import normalize_template_config
from packages.domain.edit_template import EditTemplate, EditTemplateStatus
logger = logging.getLogger(__name__)
router = APIRouter()
# ── Pydantic Schemas ─────────────────────────────────────────────────────────
class EditTemplateCreateRequest(BaseModel):
"""创建模板请求体"""
name: str = Field(..., min_length=1, max_length=200, description="模板名称")
description: str = Field(default="", max_length=2000, description="模板描述")
template_type: str = Field(default="default", max_length=50, description="模板类型")
editing_mode: str = Field(
default="one_take", max_length=20, description="剪辑模式: one_take/pip/voice_over/voice_pip"
)
config: dict[str, Any] = Field(default_factory=dict, description="模板配置 (JSON)")
preview_url: str = Field(default="", max_length=500, description="预览地址")
sort_weight: int = Field(default=0, ge=0, le=9999, description="排序权重")
class EditTemplateUpdateRequest(BaseModel):
"""更新模板请求体"""
name: Optional[str] = Field(default=None, min_length=1, max_length=200, description="模板名称")
description: Optional[str] = Field(default=None, max_length=2000, description="模板描述")
template_type: Optional[str] = Field(default=None, max_length=50, description="模板类型")
editing_mode: Optional[str] = Field(
default=None, max_length=20, description="剪辑模式: one_take/pip/voice_over/voice_pip"
)
config: Optional[dict[str, Any]] = Field(default=None, description="模板配置 (JSON)")
preview_url: Optional[str] = Field(default=None, max_length=500, description="预览地址")
sort_weight: Optional[int] = Field(default=None, ge=0, le=9999, description="排序权重")
status: Optional[str] = Field(default=None, description="状态: active / inactive")
class EditTemplateResponse(BaseModel):
"""模板响应体"""
id: str
name: str
description: str
template_type: str
editing_mode: str
config: dict[str, Any]
preview_url: str
sort_weight: int
status: str
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
class EditTemplateListResponse(BaseModel):
"""模板列表响应体"""
items: List[EditTemplateResponse]
total: int
page: int
page_size: int
# ── Helpers ───────────────────────────────────────────────────────────────────
def _require_admin(current_user: AuthenticatedUser) -> None:
"""校验当前用户是否为管理员,非管理员返回 403"""
if not getattr(current_user.user, "is_admin", False):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="仅管理员可执行此操作",
)
def _to_response(t: EditTemplate) -> EditTemplateResponse:
return EditTemplateResponse(
id=t.id,
name=t.name,
description=t.description,
template_type=t.template_type,
editing_mode=t.editing_mode,
config=t.config,
preview_url=t.preview_url,
sort_weight=t.sort_weight,
status=t.status.value if hasattr(t.status, "value") else t.status,
created_at=t.created_at,
updated_at=t.updated_at,
)
# ── Routes ────────────────────────────────────────────────────────────────────
@router.get("", response_model=EditTemplateListResponse)
def list_templates(
page: int = Query(default=1, ge=1, description="页码"),
page_size: int = Query(default=20, ge=1, le=100, description="每页数量"),
template_type: Optional[str] = Query(default=None, description="按类型筛选"),
status_filter: Optional[str] = Query(
default=None,
alias="status",
description="按状态筛选: active / inactive",
),
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> EditTemplateListResponse:
"""获取模板列表(支持分页、按类型/状态筛选)"""
svc = EditTemplateService(db)
# 解析状态筛选
status_enum: Optional[EditTemplateStatus] = None
if status_filter:
try:
status_enum = EditTemplateStatus(status_filter)
except ValueError:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"无效的状态值: {status_filter},可选值: active, inactive",
)
skip = (page - 1) * page_size
templates = svc.list_templates(
template_type=template_type,
status=status_enum,
skip=skip,
limit=page_size,
)
total = svc.count_templates(
template_type=template_type,
status=status_enum,
)
return EditTemplateListResponse(
items=[_to_response(t) for t in templates],
total=total,
page=page,
page_size=page_size,
)
@router.get("/{template_id}", response_model=EditTemplateResponse)
def get_template(
template_id: str,
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> EditTemplateResponse:
"""获取单个模板详情"""
svc = EditTemplateService(db)
try:
template = svc.get_template_or_raise(template_id)
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(exc),
)
return _to_response(template)
@router.post("", response_model=EditTemplateResponse, status_code=status.HTTP_201_CREATED)
def create_template(
body: EditTemplateCreateRequest,
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> EditTemplateResponse:
"""创建模板(管理员)"""
_require_admin(current_user)
svc = EditTemplateService(db)
# 标准化 config,填充 cover/title/subtitle/bgm 默认值
normalized_config = normalize_template_config(body.config)
try:
created = svc.create_template(
name=body.name,
description=body.description,
template_type=body.template_type,
editing_mode=body.editing_mode,
config=normalized_config,
preview_url=body.preview_url,
sort_weight=body.sort_weight,
)
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=str(exc),
)
logger.info("创建模板: id=%s name=%s by user=%s", created.id, created.name, current_user.user.id)
return _to_response(created)
@router.put("/{template_id}", response_model=EditTemplateResponse)
def update_template(
template_id: str,
body: EditTemplateUpdateRequest,
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> EditTemplateResponse:
"""更新模板"""
_require_admin(current_user)
svc = EditTemplateService(db)
# 解析状态
status_enum: Optional[EditTemplateStatus] = None
if body.status is not None:
try:
status_enum = EditTemplateStatus(body.status)
except ValueError:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"无效的状态值: {body.status},可选值: active, inactive",
)
# 标准化 config(如果提供了)
config_to_update = normalize_template_config(body.config) if body.config is not None else None
try:
result = svc.update_template(
template_id,
name=body.name,
description=body.description,
template_type=body.template_type,
editing_mode=body.editing_mode,
config=config_to_update,
preview_url=body.preview_url,
sort_weight=body.sort_weight,
status=status_enum,
)
except ValueError as exc:
err_msg = str(exc)
if "不存在" in err_msg:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=err_msg,
)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=err_msg,
)
logger.info("更新模板: id=%s by user=%s", template_id, current_user.user.id)
return _to_response(result)
@router.delete("/{template_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
def delete_template(
template_id: str,
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> Response:
"""删除模板(软删除 → 设为 inactive)"""
_require_admin(current_user)
svc = EditTemplateService(db)
try:
svc.deactivate_template(template_id)
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(exc),
)
logger.info("删除模板(软删除): id=%s by user=%s", template_id, current_user.user.id)
return Response(status_code=204)
+194
View File
@@ -0,0 +1,194 @@
"""Feature Flag 内部管理接口。
通过内部 API Key 鉴权,支持查看和修改 Feature Flag 配置。
主要用于灰度发布期间的动态开关控制。
API:
GET /api/v1/internal/feature-flags - 列出所有 flag
GET /api/v1/internal/feature-flags/{name} - 查看单个 flag
PUT /api/v1/internal/feature-flags/{name} - 设置 flag 配置
DELETE /api/v1/internal/feature-flags/{name} - 删除 flag
鉴权:X-API-Key header,走内部 API Key 验证
"""
from __future__ import annotations
import logging
from typing import Optional
from app.api.routes.auth import _verify_internal_api_key
from app.config import settings
from fastapi import APIRouter, Depends, HTTPException, Query, status
from pydantic import BaseModel, Field
from packages.adapters.redis.feature_flag_store import (
FeatureFlagConfig,
RedisFeatureFlagStore,
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/internal/feature-flags", tags=["Internal"])
# 允许管理的 flag 白名单(防止误操作其他系统 flag)
ALLOWED_FLAGS = {
"render_engine",
}
def _get_feature_flag_store() -> RedisFeatureFlagStore:
"""获取 Feature Flag 存储实例。"""
return RedisFeatureFlagStore(redis_url=settings.REDIS_URL)
class FeatureFlagUpdateRequest(BaseModel):
"""Feature Flag 更新请求体。"""
enabled: bool = Field(..., description="是否启用")
percentage: int = Field(0, ge=0, le=100, description="灰度百分比 (0-100)")
whitelist: list[str] = Field(default_factory=list, description="白名单列表(如 user_id")
class FeatureFlagResponse(BaseModel):
"""Feature Flag 响应。"""
name: str
enabled: bool
percentage: int
whitelist: list[str]
@classmethod
def from_config(cls, config: FeatureFlagConfig) -> "FeatureFlagResponse":
return cls(
name=config.name,
enabled=config.enabled,
percentage=config.percentage,
whitelist=sorted(config.whitelist),
)
class FeatureFlagCheckResponse(BaseModel):
"""Flag 激活检查响应。"""
name: str
active: bool
identifier: Optional[str] = None
def _validate_flag_name(name: str) -> None:
"""校验 flag 名称是否在允许列表中。"""
if name not in ALLOWED_FLAGS:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Unsupported flag: {name}. Allowed: {sorted(ALLOWED_FLAGS)}",
)
@router.get("", response_model=list[FeatureFlagResponse])
async def list_feature_flags(
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""列出所有 Feature Flag。"""
try:
flags = store.list_all()
# 同时返回预定义的 flag(即使未设置也显示默认值)
result = []
for name in sorted(ALLOWED_FLAGS):
config = flags.get(name) or FeatureFlagConfig(name=name, enabled=False)
result.append(FeatureFlagResponse.from_config(config))
# 加上已存在但不在白名单中的 flag(只读展示)
for name, config in flags.items():
if name not in ALLOWED_FLAGS:
result.append(FeatureFlagResponse.from_config(config))
return sorted(result, key=lambda x: x.name)
except Exception as exc:
logger.error("Failed to list feature flags: %s", exc)
raise HTTPException(status_code=500, detail=f"Failed to list flags: {exc}")
@router.get("/{name}", response_model=FeatureFlagResponse)
async def get_feature_flag(
name: str,
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""获取单个 Feature Flag 配置。"""
try:
config = store.get(name)
return FeatureFlagResponse.from_config(config)
except Exception as exc:
logger.error("Failed to get feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to get flag: {exc}")
@router.get("/{name}/check", response_model=FeatureFlagCheckResponse)
async def check_feature_flag(
name: str,
identifier: Optional[str] = Query(None, description="标识符,如 user_id"),
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""检查某个标识符是否命中 Feature Flag。"""
try:
active = store.is_active(name, identifier=identifier)
return FeatureFlagCheckResponse(name=name, active=active, identifier=identifier)
except Exception as exc:
logger.error("Failed to check feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to check flag: {exc}")
@router.put("/{name}", response_model=FeatureFlagResponse)
async def update_feature_flag(
name: str,
request: FeatureFlagUpdateRequest,
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""更新 Feature Flag 配置。
只允许修改 ALLOWED_FLAGS 列表中的 flag。
"""
_validate_flag_name(name)
try:
config = FeatureFlagConfig(
name=name,
enabled=request.enabled,
percentage=request.percentage,
whitelist=set(request.whitelist),
)
store.set(config)
logger.info(
"Feature flag updated: name=%s enabled=%s percentage=%d whitelist=%d",
name,
config.enabled,
config.percentage,
len(config.whitelist),
)
return FeatureFlagResponse.from_config(config)
except Exception as exc:
logger.error("Failed to update feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to update flag: {exc}")
@router.delete("/{name}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_feature_flag(
name: str,
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""删除 Feature Flag。
只允许删除 ALLOWED_FLAGS 列表中的 flag。
"""
_validate_flag_name(name)
try:
deleted = store.delete(name)
logger.info("Feature flag deleted: name=%s deleted=%s", name, deleted)
return None
except Exception as exc:
logger.error("Failed to delete feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to delete flag: {exc}")
-123
View File
@@ -1,123 +0,0 @@
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import OSSStorageService, get_storage_service
from app.dependencies import get_generated_video_repository, get_project_repository
from app.schemas.generated_video import (
GeneratedVideoDownloadUrlResponse,
GeneratedVideoResponse,
ListGeneratedVideosResponse,
UpdateGeneratedVideoReviewRequest,
)
from fastapi import APIRouter, Depends, HTTPException, Query
from packages.application import (
GetGeneratedVideoDownloadUrlUseCase,
GetGeneratedVideoUseCase,
ListGeneratedVideosUseCase,
)
router = APIRouter()
def _to_generated_video_response(item, download_url: str | None = None) -> GeneratedVideoResponse:
return GeneratedVideoResponse(
id=item.id,
project_id=item.project_id,
generation_task_id=item.generation_task_id,
name=item.name,
file_url=item.file_url,
file_size=item.file_size,
duration=item.duration,
thumbnail_url=item.thumbnail_url,
width=item.width,
height=item.height,
fps=item.fps,
status=item.status,
review_status=item.review_status,
generation_params=item.generation_params,
download_url=download_url,
)
@router.get("", response_model=ListGeneratedVideosResponse)
def list_generated_videos(
project_id: str | None = Query(None),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generated_video_repository: Any = Depends(get_generated_video_repository),
project_repository: Any = Depends(get_project_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> ListGeneratedVideosResponse:
user_id = authenticated_user.user.id
use_case = ListGeneratedVideosUseCase(generated_video_repository)
if project_id:
# If project_id provided, check access and filter by project
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
items = use_case.execute(project_id)
else:
# If no project_id, list all videos from accessible projects
accessible_projects = project_repository.find_accessible_projects(user_id)
all_items = []
for proj in accessible_projects:
all_items.extend(use_case.execute(proj.id))
items = all_items
# Generate download URLs for each video
responses = []
for item in items:
download_url = storage_service.get_download_url(item.file_url)
responses.append(_to_generated_video_response(item, download_url=download_url))
return ListGeneratedVideosResponse(items=responses)
@router.get("/{video_id}", response_model=GeneratedVideoResponse)
def get_generated_video(
video_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> GeneratedVideoResponse:
use_case = GetGeneratedVideoUseCase(generated_video_repository)
item = use_case.execute(video_id)
if item is None:
raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
download_url = storage_service.get_download_url(item.file_url)
return _to_generated_video_response(item, download_url=download_url)
@router.patch("/{video_id}/review", response_model=GeneratedVideoResponse)
def update_generated_video_review_status(
video_id: str,
request: UpdateGeneratedVideoReviewRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> GeneratedVideoResponse:
video = generated_video_repository.get(video_id)
if video is None:
raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
video.review_status = request.review_status
updated = generated_video_repository.update(video)
download_url = storage_service.get_download_url(updated.file_url)
return _to_generated_video_response(updated, download_url=download_url)
@router.get("/{video_id}/download-url", response_model=GeneratedVideoDownloadUrlResponse)
def get_generated_video_download_url(
video_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> GeneratedVideoDownloadUrlResponse:
video = generated_video_repository.get(video_id)
if video is None:
raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
use_case = GetGeneratedVideoDownloadUrlUseCase(generated_video_repository)
file_url = use_case.execute(video_id)
if file_url is None:
raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
download_url = storage_service.get_download_url(file_url)
return GeneratedVideoDownloadUrlResponse(video_id=video_id, download_url=download_url)
+98 -19
View File
@@ -5,7 +5,13 @@ from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import OSSStorageService, get_storage_service
from app.core.task_enqueue import safe_enqueue_generation_task
from app.core.task_enqueue import (
GLOBAL_PENDING_LIMIT,
USER_PENDING_LIMIT,
GlobalQueueFull,
UserPendingLimitExceeded,
safe_enqueue_generation_task,
)
from app.dependencies import (
get_asset_library_repository,
get_asset_repository,
@@ -25,6 +31,8 @@ from app.schemas.generation_task import (
)
from fastapi import APIRouter, Depends, HTTPException
from app.api.routes._helpers import check_project_access
from packages.application import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
@@ -36,15 +44,6 @@ logger = logging.getLogger(__name__)
router = APIRouter()
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="Access denied to project")
def _to_generation_task_response(task) -> GenerationTaskResponse:
return GenerationTaskResponse(
id=task.id,
@@ -228,9 +227,31 @@ def create_generation_task(
count = request.count
created_tasks = []
failed_tasks = []
user_id = authenticated_user.user.id
# 同批次任务共享 batch_id,用于视频查重时批次内比对
batch_id = uuid.uuid4().hex if count > 1 else ""
# 预检查:批量提交前先看会不会超限,避免建一半才拒
try:
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending + count > USER_PENDING_LIMIT:
raise UserPendingLimitExceeded(
user_id=user_id, pending_count=user_pending + count, limit=USER_PENDING_LIMIT
)
if global_pending + count > GLOBAL_PENDING_LIMIT:
raise GlobalQueueFull(pending_count=global_pending + count, limit=GLOBAL_PENDING_LIMIT)
except UserPendingLimitExceeded as e:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {e.pending_count - count}/{e.limit},本次提交 {count} 个),请等待完成后再提交",
) from e
except GlobalQueueFull as e:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from e
try:
for _ in range(count):
task = use_case.execute(
@@ -243,16 +264,42 @@ def create_generation_task(
asset_ids=resolved_asset_ids,
title_ids=request.title_ids,
voice_ids=request.voice_ids,
created_by_user_id=authenticated_user.user.id,
created_by_user_id=user_id,
source_edit_plan_id=request.source_edit_plan_id,
asset_select_mode=request.asset_select_mode,
batch_id=batch_id,
)
)
if safe_enqueue_generation_task(task, generation_task_repository, log_prefix="[生成任务]", log_task_status=True):
created_tasks.append(task)
else:
try:
if safe_enqueue_generation_task(
task,
generation_task_repository,
user_id=user_id,
log_prefix="[生成任务]",
log_task_status=True,
):
created_tasks.append(task)
else:
failed_tasks.append(task)
except UserPendingLimitExceeded:
# 兜底:如果预检查后又并发提交了,在这里也拦住
failed_tasks.append(task)
if not created_tasks:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
)
break
except GlobalQueueFull:
failed_tasks.append(task)
if not created_tasks:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
break
except HTTPException:
raise
except Exception as e:
logger.error("[生成任务] 创建失败: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail="创建生成任务失败,请稍后重试或查看任务日志")
@@ -284,7 +331,7 @@ def get_generation_task(
if task is None:
raise HTTPException(status_code=404, detail=f"GenerationTask {task_id} not found")
if task.project_id:
_check_project_access(task.project_id, authenticated_user.user.id, project_repository)
check_project_access(task.project_id, authenticated_user.user.id, project_repository)
return _to_generation_task_response(task)
@@ -301,7 +348,7 @@ def list_generation_results(
if task is None:
raise HTTPException(status_code=404, detail=f"GenerationTask {task_id} not found")
if task.project_id:
_check_project_access(task.project_id, authenticated_user.user.id, project_repository)
check_project_access(task.project_id, authenticated_user.user.id, project_repository)
use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
items = use_case.execute(task_id)
responses = []
@@ -327,6 +374,21 @@ def retry_generation_task(
if status_val != "failed":
raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
user_id = authenticated_user.user.id
# 预检查:创建前判断,>= 上限就拒绝
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
retried = use_case.execute(
CreateGenerationTaskCommand(
@@ -338,11 +400,28 @@ def retry_generation_task(
asset_ids=task.asset_ids,
title_ids=task.title_ids,
voice_ids=task.voice_ids,
created_by_user_id=authenticated_user.user.id,
created_by_user_id=user_id,
source_edit_plan_id=task.source_edit_plan_id or "",
asset_select_mode=getattr(task, "asset_select_mode", ""),
)
)
if not safe_enqueue_generation_task(retried, generation_task_repository, log_prefix="[生成任务]", log_task_status=True):
logger.warning("[生成任务] 重试入队失败: task_id=%s", retried.id)
try:
if not safe_enqueue_generation_task(
retried,
generation_task_repository,
user_id=user_id,
log_prefix="[生成任务]",
log_task_status=True,
):
logger.warning("[生成任务] 重试入队失败: task_id=%s", retried.id)
except UserPendingLimitExceeded:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
) from None
except GlobalQueueFull:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return _to_generation_task_response(retried)
+120
View File
@@ -0,0 +1,120 @@
"""渲染结果内部下载接口。
通过内部 API Key 鉴权,为灰度对比工具等内部系统提供渲染结果下载能力。
API:
GET /api/v1/internal/render/videos/{video_id}/download-url - 获取单个视频下载URL
GET /api/v1/internal/render/tasks/{task_id}/videos - 获取任务下所有视频及下载URL
鉴权:X-API-Key header,走内部 API Key 验证
"""
from __future__ import annotations
import logging
from typing import Any
from app.api.routes.auth import _verify_internal_api_key
from app.core.storage import OSSStorageService, get_storage_service
from app.dependencies import get_generated_video_repository
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/internal/render", tags=["Internal"])
class InternalRenderVideoItem(BaseModel):
"""内部渲染视频项。"""
video_id: str
generation_task_id: str
project_id: str
name: str
file_url: str
file_size: int | None = None
duration: float | None = None
width: int | None = None
height: int | None = None
fps: float | None = None
status: str
download_url: str
class InternalRenderTaskVideosResponse(BaseModel):
"""任务下所有渲染视频响应。"""
task_id: str
count: int
videos: list[InternalRenderVideoItem]
class InternalRenderDownloadUrlResponse(BaseModel):
"""单个视频下载URL响应。"""
video_id: str
download_url: str
def _video_to_item(video: Any, download_url: str) -> InternalRenderVideoItem:
"""将 GeneratedVideo 领域对象转为响应项。"""
return InternalRenderVideoItem(
video_id=video.id,
generation_task_id=video.generation_task_id,
project_id=video.project_id,
name=video.name,
file_url=video.file_url,
file_size=getattr(video, "file_size", None),
duration=getattr(video, "duration", None),
width=getattr(video, "width", None),
height=getattr(video, "height", None),
fps=getattr(video, "fps", None),
status=video.status,
download_url=download_url,
)
@router.get("/videos/{video_id}/download-url", response_model=InternalRenderDownloadUrlResponse)
def get_render_video_download_url(
video_id: str,
_: bool = Depends(_verify_internal_api_key),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> InternalRenderDownloadUrlResponse:
"""获取单个渲染视频的下载URL(预签名)。"""
video = generated_video_repository.get(video_id)
if video is None:
raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
download_url = storage_service.get_download_url(video.file_url, expires_seconds=86400)
logger.info("内部渲染下载URL生成: video_id=%s", video_id)
return InternalRenderDownloadUrlResponse(video_id=video_id, download_url=download_url)
@router.get("/tasks/{task_id}/videos", response_model=InternalRenderTaskVideosResponse)
def get_render_task_videos(
task_id: str,
status: str | None = Query(None, description="按状态筛选,如 completed/failed"),
_: bool = Depends(_verify_internal_api_key),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> InternalRenderTaskVideosResponse:
"""获取生成任务下所有渲染视频及下载URL。"""
videos = generated_video_repository.list_by_generation_task(task_id)
# 状态筛选
if status:
videos = [v for v in videos if v.status == status]
items = []
for video in videos:
download_url = storage_service.get_download_url(video.file_url, expires_seconds=86400)
items.append(_video_to_item(video, download_url))
logger.info("内部渲染任务视频查询: task_id=%s count=%d", task_id, len(items))
return InternalRenderTaskVideosResponse(
task_id=task_id,
count=len(items),
videos=items,
)
-332
View File
@@ -1,332 +0,0 @@
"""Job API 路由 — Phase 8 任务 2.10.
提供统一异步任务管理 RESTful 接口:
- POST /api/v1/jobs 创建任务
- GET /api/v1/jobs/{job_id} 任务详情
- GET /api/v1/projects/{project_id}/jobs 项目任务列表
- GET /api/v1/projects/{project_id}/jobs/stats 任务统计
- PUT /api/v1/jobs/{job_id}/progress 更新进度
- POST /api/v1/jobs/{job_id}/complete 标记完成
- POST /api/v1/jobs/{job_id}/fail 标记失败
- POST /api/v1/jobs/{job_id}/retry 重试任务
- POST /api/v1/jobs/{job_id}/cancel 取消任务
- POST /api/v1/jobs/{job_id}/submit 提交执行
"""
from __future__ import annotations
import logging
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.dependencies import get_db_session, get_job_repository, get_project_repository
from app.schemas.job import (
CompleteJobRequest,
CreateJobRequest,
FailJobRequest,
JobResponse,
JobStatisticsResponse,
ListJobsResponse,
UpdateProgressRequest,
job_to_response,
)
from fastapi import APIRouter, Depends, HTTPException, Query, status
from packages.application.jobs import (
CancelJobUseCase,
CompleteJobCommand,
CompleteJobUseCase,
CreateJobCommand,
CreateJobUseCase,
FailJobCommand,
FailJobUseCase,
GetJobStatisticsUseCase,
GetJobUseCase,
ListJobsUseCase,
RetryJobUseCase,
SubmitJobUseCase,
UpdateJobProgressCommand,
UpdateJobProgressUseCase,
)
from packages.domain.job import JobType
logger = logging.getLogger(__name__)
router = APIRouter()
# 任务类型 → Celery task name 映射
_JOB_TYPE_TO_CELERY_TASK: dict[str, str] = {
JobType.VIDEO_COMPOSE: "worker.compose_video",
JobType.RENDER_EDIT_PLAN: "worker.render_edit_plan",
JobType.ASSET_INGEST: "worker.ingest_asset",
JobType.CLASSIFICATION: "worker.classify_asset",
JobType.VOICE_EXTRACTION: "worker.extract_voice",
JobType.GENERATION: "worker.generate_video",
}
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限。"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="Access denied to project")
# ── 创建任务 ──────────────────────────────────────────────────────────────────
@router.post("/jobs", response_model=JobResponse, status_code=status.HTTP_201_CREATED)
def create_job(
request: CreateJobRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
project_repository: Any = Depends(get_project_repository),
) -> JobResponse:
"""创建异步任务。
创建后任务处于 pending 状态,需要调用 /submit 提交执行。
"""
_check_project_access(request.project_id, authenticated_user.user.id, project_repository)
# 校验 job_type
try:
JobType(request.job_type)
except ValueError:
raise HTTPException(
status_code=400,
detail=f"不支持的任务类型: {request.job_type}" f"可选值: {[t.value for t in JobType]}",
)
use_case = CreateJobUseCase(job_repo)
job = use_case.execute(
CreateJobCommand(
project_id=request.project_id,
job_type=request.job_type,
payload=request.payload,
source_id=request.source_id,
created_by_user_id=authenticated_user.user.id,
max_retries=request.max_retries,
)
)
return job_to_response(job)
# ── 提交执行 ──────────────────────────────────────────────────────────────────
@router.post("/jobs/{job_id}/submit", response_model=JobResponse)
def submit_job(
job_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""提交任务执行。
将任务状态从 pending 切换为 running,并 dispatch Celery 异步任务。
"""
# 权限检查:先获取任务并验证权限,再执行状态变更
job = job_repo.get(job_id)
if job is None:
raise HTTPException(status_code=404, detail=f"Job {job_id} not found")
if job.created_by_user_id and job.created_by_user_id != authenticated_user.user.id:
raise HTTPException(status_code=403, detail="Access denied to this job")
use_case = SubmitJobUseCase(job_repo)
try:
job = use_case.execute(job_id)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
# Dispatch Celery 任务
celery_task_name = _JOB_TYPE_TO_CELERY_TASK.get(job.job_type.value)
if celery_task_name:
result = celery_app.send_task(celery_task_name, args=[job.id], kwargs=job.payload)
job.celery_task_id = result.id
job_repo.update(job)
logger.info("已提交 Celery 任务: job_id=%s celery_task_id=%s", job.id, result.id)
return job_to_response(job)
# ── 查询接口 ──────────────────────────────────────────────────────────────────
@router.get("/jobs/{job_id}", response_model=JobResponse)
def get_job(
job_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""获取任务详情。"""
use_case = GetJobUseCase(job_repo)
job = use_case.execute(job_id)
if job is None:
raise HTTPException(status_code=404, detail=f"Job {job_id} not found")
return job_to_response(job)
@router.get("/projects/{project_id}/jobs", response_model=ListJobsResponse)
def list_project_jobs(
project_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
project_repository: Any = Depends(get_project_repository),
job_type: str | None = Query(default=None, description="按任务类型过滤"),
status_filter: str | None = Query(default=None, alias="status", description="按状态过滤"),
limit: int = Query(default=50, ge=1, le=200),
offset: int = Query(default=0, ge=0),
) -> ListJobsResponse:
"""获取项目下的任务列表。"""
_check_project_access(project_id, authenticated_user.user.id, project_repository)
use_case = ListJobsUseCase(job_repo)
jobs = use_case.execute(
project_id=project_id,
job_type=job_type,
status=status_filter,
limit=limit,
offset=offset,
)
items = [job_to_response(j) for j in jobs]
return ListJobsResponse(items=items, total=len(items))
@router.get("/projects/{project_id}/jobs/stats", response_model=JobStatisticsResponse)
def get_job_statistics(
project_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
project_repository: Any = Depends(get_project_repository),
) -> JobStatisticsResponse:
"""获取项目任务统计摘要。"""
_check_project_access(project_id, authenticated_user.user.id, project_repository)
use_case = GetJobStatisticsUseCase(job_repo)
stats = use_case.execute(project_id)
return JobStatisticsResponse(**stats)
# ── 进度更新 ──────────────────────────────────────────────────────────────────
@router.put("/jobs/{job_id}/progress", response_model=JobResponse)
def update_job_progress(
job_id: str,
request: UpdateProgressRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""更新任务进度。"""
use_case = UpdateJobProgressUseCase(job_repo)
try:
job = use_case.execute(
UpdateJobProgressCommand(
job_id=job_id,
progress=request.progress,
current_stage=request.current_stage,
)
)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return job_to_response(job)
# ── 完成 / 失败 ────────────────────────────────────────────────────────────────
@router.post("/jobs/{job_id}/complete", response_model=JobResponse)
def complete_job(
job_id: str,
request: CompleteJobRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""标记任务完成。"""
use_case = CompleteJobUseCase(job_repo)
try:
job = use_case.execute(CompleteJobCommand(job_id=job_id, result=request.result))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return job_to_response(job)
@router.post("/jobs/{job_id}/fail", response_model=JobResponse)
def fail_job(
job_id: str,
request: FailJobRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""标记任务失败。"""
use_case = FailJobUseCase(job_repo)
try:
job = use_case.execute(FailJobCommand(job_id=job_id, error_message=request.error_message))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return job_to_response(job)
# ── 重试 / 取消 ────────────────────────────────────────────────────────────────
@router.post("/jobs/{job_id}/retry", response_model=JobResponse)
def retry_job(
job_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""重试失败任务。
将任务重置为 pendingretry_count + 1,但不自动 dispatch。
需要再次调用 /submit 提交执行。
"""
# 权限检查:先获取任务并验证权限,再执行状态变更
job = job_repo.get(job_id)
if job is None:
raise HTTPException(status_code=404, detail=f"Job {job_id} not found")
if job.created_by_user_id and job.created_by_user_id != authenticated_user.user.id:
raise HTTPException(status_code=403, detail="Access denied to this job")
use_case = RetryJobUseCase(job_repo)
try:
job = use_case.execute(job_id)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return job_to_response(job)
@router.post("/jobs/{job_id}/cancel", response_model=JobResponse)
def cancel_job(
job_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
job_repo: Any = Depends(get_job_repository),
) -> JobResponse:
"""取消任务。"""
# 权限检查:先获取任务并验证权限,再执行状态变更
job = job_repo.get(job_id)
if job is None:
raise HTTPException(status_code=404, detail=f"Job {job_id} not found")
if job.created_by_user_id and job.created_by_user_id != authenticated_user.user.id:
raise HTTPException(status_code=403, detail="Access denied to this job")
use_case = CancelJobUseCase(job_repo)
try:
job = use_case.execute(job_id)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return job_to_response(job)
-212
View File
@@ -1,212 +0,0 @@
"""Recipe CRUD + use routes."""
from __future__ import annotations
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session, get_user_repository
from app.schemas.recipe import (
CreateRecipeRequest,
ListRecipesResponse,
RecipeItemResponse,
RecipeResponse,
UpdateRecipeRequest,
UseRecipeResponse,
)
from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.recipe_repository import SQLAlchemyRecipeRepository
from packages.application.recipe.commands import (
CreateRecipeCommand,
RecipeItemCommand,
UpdateRecipeCommand,
)
from packages.application.recipe.use_cases import (
CreateRecipeUseCase,
DeleteRecipeUseCase,
FeatureDisabledError,
GetRecipeUseCase,
ListRecipesUseCase,
NotFoundError,
UpdateRecipeUseCase,
UseRecipeUseCase,
)
from packages.ports.user_repository import UserRepository
router = APIRouter()
def _get_recipe_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyRecipeRepository:
return SQLAlchemyRecipeRepository(session)
def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
def _item_to_response(item) -> RecipeItemResponse:
return RecipeItemResponse(
id=item.id,
recipe_id=item.recipe_id,
item_type=item.item_type,
item_id=item.item_id,
position=item.position,
metadata=item.metadata_,
)
def _to_response(recipe) -> RecipeResponse:
return RecipeResponse(
id=recipe.id,
user_id=recipe.user_id,
name=recipe.name,
description=recipe.description,
template_id=recipe.template_id,
generation_params=recipe.generation_params,
items=[_item_to_response(i) for i in getattr(recipe, "items", [])],
is_active=recipe.is_active,
metadata=recipe.metadata_,
created_at=recipe.created_at,
updated_at=recipe.updated_at,
)
@router.get("", response_model=ListRecipesResponse)
def list_recipes(
skip: int = Query(0, ge=0),
limit: int = Query(50, ge=1, le=200),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
recipe_repository: SQLAlchemyRecipeRepository = Depends(_get_recipe_repository),
) -> ListRecipesResponse:
user_id = authenticated_user.user.id
use_case = ListRecipesUseCase(recipe_repository)
recipes = use_case.execute(user_id, skip=skip, limit=limit)
total = recipe_repository.count_by_user(user_id)
return ListRecipesResponse(
items=[_to_response(r) for r in recipes],
total=total,
)
@router.get("/{recipe_id}", response_model=RecipeResponse)
def get_recipe(
recipe_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
recipe_repository: SQLAlchemyRecipeRepository = Depends(_get_recipe_repository),
) -> RecipeResponse:
user_id = authenticated_user.user.id
use_case = GetRecipeUseCase(recipe_repository)
recipe = use_case.execute(recipe_id, user_id)
if recipe is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Recipe not found")
return _to_response(recipe)
@router.post("", response_model=RecipeResponse, status_code=status.HTTP_201_CREATED)
def create_recipe(
request: CreateRecipeRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
recipe_repository: SQLAlchemyRecipeRepository = Depends(_get_recipe_repository),
) -> RecipeResponse:
user_id = authenticated_user.user.id
command = CreateRecipeCommand(
user_id=user_id,
name=request.name,
description=request.description,
template_id=request.template_id,
generation_params=request.generation_params,
items=[
RecipeItemCommand(
item_type=ic.item_type,
item_id=ic.item_id,
position=ic.position,
metadata_=ic.metadata_,
)
for ic in request.items
],
metadata_=request.metadata_,
)
use_case = CreateRecipeUseCase(recipe_repository)
recipe = use_case.execute(command)
return _to_response(recipe)
@router.patch("/{recipe_id}", response_model=RecipeResponse)
def update_recipe(
recipe_id: str,
request: UpdateRecipeRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
recipe_repository: SQLAlchemyRecipeRepository = Depends(_get_recipe_repository),
) -> RecipeResponse:
user_id = authenticated_user.user.id
command = UpdateRecipeCommand(
recipe_id=recipe_id,
user_id=user_id,
name=request.name,
description=request.description,
template_id=request.template_id,
generation_params=request.generation_params,
items=(
[
RecipeItemCommand(
item_type=ic.item_type,
item_id=ic.item_id,
position=ic.position,
metadata_=ic.metadata_,
)
for ic in request.items
]
if request.items is not None
else None
),
metadata_=request.metadata_,
)
use_case = UpdateRecipeUseCase(recipe_repository)
try:
recipe = use_case.execute(command)
except NotFoundError:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Recipe not found")
return _to_response(recipe)
@router.delete("/{recipe_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
def delete_recipe(
recipe_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
recipe_repository: SQLAlchemyRecipeRepository = Depends(_get_recipe_repository),
) -> Response:
user_id = authenticated_user.user.id
use_case = DeleteRecipeUseCase(recipe_repository)
deleted = use_case.execute(recipe_id, user_id)
if not deleted:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Recipe not found")
return Response(status_code=204)
@router.post("/{recipe_id}/use", response_model=UseRecipeResponse)
def use_recipe(
recipe_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
recipe_repository: SQLAlchemyRecipeRepository = Depends(_get_recipe_repository),
user_repository: UserRepository = Depends(get_user_repository),
) -> UseRecipeResponse:
user_id = authenticated_user.user.id
plan_name = _get_user_plan(user_id, user_repository)
use_case = UseRecipeUseCase(recipe_repository)
try:
result = use_case.execute(recipe_id, user_id, user_plan=plan_name)
except FeatureDisabledError as exc:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=str(exc),
)
except NotFoundError:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Recipe not found")
return UseRecipeResponse(
recipe=_to_response(result.recipe),
warnings=[{"item_type": w.item_type, "item_id": w.item_id, "position": w.position} for w in result.warnings],
)
+1 -1
View File
@@ -232,7 +232,7 @@ async def payment_callback(
# 创建账单记录
record_id = uuid.uuid4().hex
record = repo.create(
repo.create(
{
"id": record_id,
"user_id": user_id,
+70 -7
View File
@@ -3,7 +3,13 @@ from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.core.task_enqueue import safe_enqueue_generation_task
from app.core.task_enqueue import (
GLOBAL_PENDING_LIMIT,
USER_PENDING_LIMIT,
GlobalQueueFull,
UserPendingLimitExceeded,
safe_enqueue_generation_task,
)
from app.dependencies import (
get_generation_task_repository,
get_ingest_job_repository,
@@ -142,6 +148,21 @@ def retry_task_by_id(
if _status_value(task.status) != "failed":
raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
user_id = authenticated_user.user.id
# 预检查
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
retried = use_case.execute(
CreateGenerationTaskCommand(
@@ -153,11 +174,24 @@ def retry_task_by_id(
asset_ids=task.asset_ids,
title_ids=task.title_ids,
voice_ids=task.voice_ids,
created_by_user_id=authenticated_user.user.id,
created_by_user_id=user_id,
)
)
if not safe_enqueue_generation_task(retried, generation_task_repository, log_prefix="[任务中心]"):
logger.warning("[任务中心] 用户级重试入队失败: task_id=%s", retried.id)
try:
if not safe_enqueue_generation_task(
retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
):
logger.warning("[任务中心] 用户级重试入队失败: task_id=%s", retried.id)
except UserPendingLimitExceeded:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
) from None
except GlobalQueueFull:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return UserTaskResponse(
id=f"generation:{retried.id}",
task_type="generation",
@@ -225,6 +259,22 @@ def retry_project_task(
raise HTTPException(status_code=404, detail="Generation task not found")
if _status_value(task.status) != "failed":
raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
user_id = authenticated_user.user.id
# 预检查
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
retried = use_case.execute(
CreateGenerationTaskCommand(
@@ -236,11 +286,24 @@ def retry_project_task(
asset_ids=task.asset_ids,
title_ids=task.title_ids,
voice_ids=task.voice_ids,
created_by_user_id=authenticated_user.user.id,
created_by_user_id=user_id,
)
)
if not safe_enqueue_generation_task(retried, generation_task_repository, log_prefix="[任务中心]"):
logger.warning("[任务中心] 项目级重试用队失败: task_id=%s", retried.id)
try:
if not safe_enqueue_generation_task(
retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
):
logger.warning("[任务中心] 项目级重试入队失败: task_id=%s", retried.id)
except UserPendingLimitExceeded:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
) from None
except GlobalQueueFull:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return _generation_task_to_project_response(retried)
if task_type == "ingest":
job = ingest_job_repository.get(source_id)
+3 -8
View File
@@ -28,6 +28,8 @@ from packages.application.title_library.use_cases import (
)
from packages.ports.user_repository import UserRepository
from app.api.routes._helpers import get_user_plan
router = APIRouter()
@@ -51,13 +53,6 @@ def _to_response(item) -> TitleLibraryItemResponse:
)
def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
@router.get("", response_model=ListTitleLibraryResponse)
def list_titles(
category: Optional[str] = Query(None),
@@ -98,7 +93,7 @@ def create_title(
user_repository: UserRepository = Depends(get_user_repository),
) -> TitleLibraryItemResponse:
user_id = authenticated_user.user.id
plan_name = _get_user_plan(user_id, user_repository)
plan_name = get_user_plan(user_id, user_repository)
command = CreateTitleLibraryCommand(
user_id=user_id,
name=request.name,
+7 -21
View File
@@ -1,5 +1,5 @@
import logging
from typing import Annotated, Any
from typing import Any
from uuid import uuid4
from app.auth import AuthenticatedUser, get_current_user
@@ -17,12 +17,13 @@ from app.schemas.upload import (
DirectUploadCompleteResponse,
DirectUploadPrepareRequest,
DirectUploadPrepareResponse,
UploadAssetRequest,
UploadAssetResponse,
)
from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status
from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase
from packages.application import SubmitIngestJobCommand, SubmitIngestJobUseCase
from app.api.routes._helpers import require_project_and_library
logger = logging.getLogger(__name__)
@@ -80,21 +81,6 @@ def _validate_mime_type(content_type: str | None) -> str:
return base_type
def _require_project_and_library(
project_id: str,
library_id: str,
project_repository: Any,
asset_library_repository: Any,
) -> None:
project = GetProjectUseCase(project_repository).execute(project_id)
if project is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
libraries = asset_library_repository.find_by_project(project_id)
if not any(item.id == library_id for item in libraries):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
def _submit_ingest_job(
project_id: str,
library_id: str,
@@ -135,7 +121,7 @@ async def prepare_direct_upload(
# P2-5: 服务端验证 MIME 类型
validated_content_type = _validate_mime_type(request.content_type)
_require_project_and_library(
require_project_and_library(
request.project_id,
request.library_id,
project_repository,
@@ -183,7 +169,7 @@ async def complete_direct_upload(
storage_service: OSSStorageService = Depends(get_storage_service),
) -> DirectUploadCompleteResponse:
"""确认浏览器直传完成并创建导入任务。"""
_require_project_and_library(
require_project_and_library(
request.project_id,
request.library_id,
project_repository,
@@ -252,7 +238,7 @@ async def upload_asset(
storage_service: OSSStorageService = Depends(get_storage_service),
) -> UploadAssetResponse:
"""上传素材文件并触发导入流水线。"""
_require_project_and_library(project_id, library_id, project_repository, asset_library_repository)
require_project_and_library(project_id, library_id, project_repository, asset_library_repository)
# ── 素材去重检测:上传前检查同素材库 + 同 file_hash ──
if file_hash:
+8 -15
View File
@@ -6,7 +6,7 @@ import logging
from typing import Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_audio_url_signer, get_cosyvoice_service, get_voice_clone_profile_repository
from app.dependencies import get_cosyvoice_service, get_voice_clone_profile_repository
from app.schemas.voice_clone import (
CreateVoiceCloneRequest,
ListVoiceCloneResponse,
@@ -28,7 +28,6 @@ from packages.application.voice_clone.use_cases import (
VoiceCloneNotRetryableError,
)
from packages.application.voice_clone.workflow import (
VoiceCloneWorkflowError,
VoiceCloneWorkflowService,
)
@@ -37,16 +36,14 @@ logger = logging.getLogger(__name__)
router = APIRouter()
def _to_response(profile, sign_url=None) -> VoiceCloneProfileResponse:
source_url = profile.source_audio_url
if sign_url and source_url:
source_url = sign_url(source_url)
def _to_response(profile) -> VoiceCloneProfileResponse:
# source_audio_url 是用户传入的原始 URL(可能是外部地址),不做预签名转换
return VoiceCloneProfileResponse(
id=profile.id,
user_id=profile.user_id,
name=profile.name,
description=profile.description,
source_audio_url=source_url,
source_audio_url=profile.source_audio_url,
voice_id=profile.voice_id,
voice_model=profile.voice_model,
language=profile.language,
@@ -77,7 +74,6 @@ def create_voice_clone(
request: CreateVoiceCloneRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
workflow: VoiceCloneWorkflowService = Depends(_get_workflow_service),
sign_url=Depends(get_audio_url_signer),
) -> VoiceCloneProfileResponse:
"""创建音色克隆任务。
@@ -113,7 +109,7 @@ def create_voice_clone(
except Exception as inner_e:
logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
return _to_response(profile, sign_url)
return _to_response(profile)
@router.get("", response_model=ListVoiceCloneResponse)
@@ -123,14 +119,13 @@ def list_voice_clones(
limit: int = Query(50, ge=1, le=200),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyVoiceCloneProfileRepository = Depends(get_voice_clone_profile_repository),
sign_url=Depends(get_audio_url_signer),
) -> ListVoiceCloneResponse:
"""获取用户的音色克隆列表。"""
user_id = authenticated_user.user.id
use_case = ListVoiceClonesUseCase(repository)
items, total = use_case.execute(user_id, status=status_filter, skip=skip, limit=limit)
return ListVoiceCloneResponse(
items=[_to_response(p, sign_url) for p in items],
items=[_to_response(p) for p in items],
total=total,
)
@@ -140,7 +135,6 @@ def get_voice_clone(
clone_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyVoiceCloneProfileRepository = Depends(get_voice_clone_profile_repository),
sign_url=Depends(get_audio_url_signer),
) -> VoiceCloneProfileResponse:
"""获取音色克隆详情。"""
user_id = authenticated_user.user.id
@@ -149,7 +143,7 @@ def get_voice_clone(
profile = use_case.execute(clone_id, user_id)
except VoiceCloneNotFoundError:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice clone not found")
return _to_response(profile, sign_url)
return _to_response(profile)
@router.get("/{clone_id}/status", response_model=VoiceCloneStatusResponse)
@@ -198,7 +192,6 @@ def retry_voice_clone(
clone_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
workflow: VoiceCloneWorkflowService = Depends(_get_workflow_service),
sign_url=Depends(get_audio_url_signer),
) -> VoiceCloneProfileResponse:
"""重试失败的音色克隆。
@@ -231,4 +224,4 @@ def retry_voice_clone(
except Exception as inner_e:
logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
return _to_response(profile, sign_url)
return _to_response(profile)
+3 -8
View File
@@ -39,6 +39,8 @@ from packages.application.voice_library.use_cases import (
from packages.domain.preset_voices import PRESET_VOICES
from packages.ports.user_repository import UserRepository
from app.api.routes._helpers import get_user_plan
router = APIRouter()
@@ -125,13 +127,6 @@ def _preset_to_unified_response(preset) -> UnifiedVoiceItemResponse:
)
def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
# ==================== 统一配音列表(预置 + 克隆)====================
@@ -271,7 +266,7 @@ def create_voice(
sign_url=Depends(get_audio_url_signer),
) -> VoiceLibraryItemResponse:
user_id = authenticated_user.user.id
plan_name = _get_user_plan(user_id, user_repository)
plan_name = get_user_plan(user_id, user_repository)
command = CreateVoiceLibraryCommand(
user_id=user_id,
name=request.name,
+10 -2
View File
@@ -25,7 +25,7 @@ class Settings(BaseSettings):
DATABASE_POOL_SIZE: int = 20
DATABASE_MAX_OVERFLOW: int = 10 # 调整为合理值:pool_size(20) + max_overflow(10) = 最大30连接
DATABASE_POOL_TIMEOUT: int = 30
DATABASE_POOL_RECYLE: int = 3600
DATABASE_POOL_RECYCLE: int = 3600
USE_IN_MEMORY_DB: bool = False
AUTO_CREATE_SCHEMA: bool = False
@@ -41,6 +41,11 @@ class Settings(BaseSettings):
# 密钥轮换天数(到达此天数后建议更换密钥)
SECRET_ROTATION_DAYS: int = 90
# JWT 算法与过期时间(与 .env.example 对齐)
JWT_ALGORITHM: str = "HS256"
JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
@field_validator("JWT_SECRET_KEY", mode="before")
@classmethod
def validate_jwt_secret_key(cls, v):
@@ -75,7 +80,7 @@ class Settings(BaseSettings):
CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1"
# OSS 七牛云相关
OSS_ENDPOINT: str = "oss-cn-hangzhou.aliiyuncs.com"
OSS_ENDPOINT: str = "oss-cn-hangzhou.aliyuncs.com"
OSS_ACCESS_KEY_ID: str = ""
OSS_ACCESS_KEY_SECRET: str = ""
OSS_BUCKET_NAME: str = "xiaoxia-autocut"
@@ -109,6 +114,9 @@ class Settings(BaseSettings):
LOG_LEVEL: str = "INFO"
CORS_ORIGINS_RAW: str = "http://localhost:3000,http://localhost:5173,http://localhost:8000"
# 渲染引擎选择:legacy=旧VideoComposeServiceunified=新UnifiedRenderService
RENDER_ENGINE: str = "legacy"
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
-1
View File
@@ -1 +0,0 @@
"""Core configuration package."""
+175 -12
View File
@@ -5,37 +5,163 @@ from app.core.celery_app import celery_app
logger = logging.getLogger(__name__)
# ── 限流阈值常量(全系统统一管理,不要在业务代码里硬编码) ──
USER_PENDING_LIMIT = 3 # 单用户 pending 上限
GLOBAL_PENDING_LIMIT = 20 # 全局 pending 上限
class UserPendingLimitExceeded(Exception):
"""用户 pending 任务数超限,返回 429。"""
def __init__(self, user_id: str, pending_count: int, limit: int):
self.user_id = user_id
self.pending_count = pending_count
self.limit = limit
super().__init__(f"用户 {user_id} pending 任务数 {pending_count} 超过上限 {limit}")
class GlobalQueueFull(Exception):
"""全局限流,返回 503。"""
def __init__(self, pending_count: int, limit: int):
self.pending_count = pending_count
self.limit = limit
super().__init__(f"系统 pending 任务数 {pending_count} 超过上限 {limit}")
def check_queue_limits(
user_id: str,
generation_task_repository: Any,
*,
user_pending_limit: int = USER_PENDING_LIMIT,
global_pending_limit: int = GLOBAL_PENDING_LIMIT,
) -> None:
"""检查队列限流(预检查用,任务创建前调用),超限抛对应异常。
边界语义:>= 上限即拒绝(达到上限就不能再加新任务)。
Args:
user_id: 用户 ID
generation_task_repository: 任务仓储
user_pending_limit: 单用户 pending 上限,默认 USER_PENDING_LIMIT
global_pending_limit: 全局 pending 上限,默认 GLOBAL_PENDING_LIMIT
Raises:
GlobalQueueFull: 全局超限时抛出(优先级更高,先查全局)
UserPendingLimitExceeded: 用户超限时抛出
"""
# 先查全局(系统级保护优先级更高)
global_pending = generation_task_repository.count_pending_total()
if global_pending >= global_pending_limit:
logger.warning(
"[队列限流] 全局 pending 任务数超限: %d/%d, user_id=%s",
global_pending,
global_pending_limit,
user_id,
)
raise GlobalQueueFull(pending_count=global_pending, limit=global_pending_limit)
# 再查用户级
if user_id:
user_pending = generation_task_repository.count_pending_by_user(user_id)
if user_pending >= user_pending_limit:
logger.warning(
"[队列限流] 用户 pending 任务数超限: user_id=%s, count=%d/%d",
user_id,
user_pending,
user_pending_limit,
)
raise UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending, limit=user_pending_limit)
def _mark_task_failed_safely(
task: Any,
generation_task_repository: Any,
log_prefix: str,
reason: str,
) -> None:
"""安全地把任务标记为 failed,更新失败只打日志不崩溃。"""
try:
task.mark_failed(f"任务被限流拒绝: {reason}")
generation_task_repository.update(task)
except Exception as update_err:
logger.error(
"%s 限流后更新状态也失败: task_id=%s error=%s",
log_prefix,
task.id,
update_err,
exc_info=True,
)
def safe_enqueue_generation_task(
task: Any,
generation_task_repository: Any,
*,
user_id: str = "",
log_prefix: str = "[任务队列]",
log_task_status: bool = False,
user_pending_limit: int = USER_PENDING_LIMIT,
global_pending_limit: int = GLOBAL_PENDING_LIMIT,
) -> bool:
"""安全入队:send_task 失败时自动把任务标记为 failed,避免留下 pending 僵尸任务
"""安全入队:入队前限流检查 → 发送 Celery 任务 → 入队后最终校验兜底
边界说明:
入队前检查用 > 而非 >=。因为调用此函数时 task 已经是 pending 状态并计入 DB,
pending 总数包含了当前任务本身。pending > limit 等价于"其他任务数 >= limit"
与预检查的 >= 语义一致(都是达到上限就拒绝新任务)。
入队后最终校验:发送 Celery 成功后再查一次 DB 计数,处理并发竞态场景
(两个请求同时通过入队前检查,后到的那个在这里被兜住)。
Args:
task: 生成任务对象,需有 id 属性和 mark_failed 方法
task: 生成任务对象,需有 id 属性和 mark_failed 方法(状态已为 pending
generation_task_repository: 任务仓储,用于更新状态
user_id: 用户 ID,传了才做用户级限流检查
log_prefix: 日志前缀,便于区分调用来源
log_task_status: 成功日志中是否额外打印任务状态
user_pending_limit: 单用户 pending 上限,默认 USER_PENDING_LIMIT
global_pending_limit: 全局 pending 上限,默认 GLOBAL_PENDING_LIMIT
Returns:
True 表示入队成功,False 表示入队失败(已标记为 failed)
Raises:
GlobalQueueFull: 全局 pending 超限时抛出,任务会被标记为 failed
UserPendingLimitExceeded: 用户 pending 超限时抛出,任务会被标记为 failed
"""
# ── 入队前检查:任务已是 pending,用 > 判断(包含当前任务) ──
# 全局限流检查(始终生效)
global_pending = generation_task_repository.count_pending_total()
if global_pending > global_pending_limit:
logger.warning(
"[队列限流] 全局 pending 任务数超限(入队前): %d/%d, user_id=%s",
global_pending,
global_pending_limit,
user_id or "unknown",
)
exc = GlobalQueueFull(pending_count=global_pending, limit=global_pending_limit)
_mark_task_failed_safely(task, generation_task_repository, log_prefix, str(exc))
raise exc
# 用户级限流检查(传了 user_id 才做)
if user_id:
user_pending = generation_task_repository.count_pending_by_user(user_id)
if user_pending > user_pending_limit:
logger.warning(
"[队列限流] 用户 pending 任务数超限(入队前): user_id=%s, count=%d/%d",
user_id,
user_pending,
user_pending_limit,
)
exc = UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending, limit=user_pending_limit)
_mark_task_failed_safely(task, generation_task_repository, log_prefix, str(exc))
raise exc
# ── 发送 Celery 任务 ──
try:
celery_app.send_task("worker.generate_video", args=[task.id])
if log_task_status:
logger.info(
"%s 入队成功: task_id=%s, status=%s",
log_prefix,
task.id,
task.status,
)
else:
logger.info("%s 入队成功: task_id=%s", log_prefix, task.id)
return True
except Exception as e:
logger.error(
"%s 入队失败,标记为失败: task_id=%s error=%s",
@@ -56,3 +182,40 @@ def safe_enqueue_generation_task(
exc_info=True,
)
return False
# ── 入队后最终校验:并发竞态兜底 ──
# 发送成功后再查一次,防止两个请求同时通过入队前检查导致超限
global_after = generation_task_repository.count_pending_total()
user_after = generation_task_repository.count_pending_by_user(user_id) if user_id else 0
global_over = global_after > global_pending_limit
user_over = bool(user_id and user_after > user_pending_limit)
if global_over or user_over:
if global_over:
reason = f"全局 pending 超限(入队后): {global_after}/{global_pending_limit}"
exc: Exception = GlobalQueueFull(pending_count=global_after, limit=global_pending_limit)
else:
reason = f"用户 pending 超限(入队后): {user_after}/{user_pending_limit}"
exc = UserPendingLimitExceeded(user_id=user_id, pending_count=user_after, limit=user_pending_limit)
logger.warning(
"[队列限流] %s, task_id=%s, user_id=%s — 回滚状态为 failed",
reason,
task.id,
user_id or "unknown",
)
_mark_task_failed_safely(task, generation_task_repository, log_prefix, reason)
raise exc
# 入队成功日志
if log_task_status:
logger.info(
"%s 入队成功: task_id=%s, status=%s",
log_prefix,
task.id,
task.status,
)
else:
logger.info("%s 入队成功: task_id=%s", log_prefix, task.id)
return True
-12
View File
@@ -50,20 +50,8 @@ from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
from packages.adapters.sqlalchemy_impl.voice_library_repository import (
SQLAlchemyVoiceLibraryRepository,
)
from packages.ports.asset_library_repository import AssetLibraryRepository
from packages.ports.asset_repository import AssetRepository
from packages.ports.classification_job_repository import ClassificationJobRepository
from packages.ports.duplication_repository import DuplicationRecordRepository
from packages.ports.generated_video_repository import GeneratedVideoRepository
from packages.ports.generation_task_repository import GenerationTaskRepository
from packages.ports.ingest_job_repository import IngestJobRepository
from packages.ports.job_repository import JobRepository
from packages.ports.project_repository import ProjectRepository
from packages.ports.tag_repository import TagRepository
from packages.ports.title_library_repository import TitleLibraryRepository
from packages.ports.user_repository import UserRepository
from packages.ports.voice_clone_profile_repository import VoiceCloneProfileRepository
from packages.ports.voice_library_repository import VoiceLibraryRepository
_engine, _SessionLocal = build_session_factory(settings.DATABASE_URL)
+1 -1
View File
@@ -10,7 +10,7 @@ from __future__ import annotations
from app.auth import AuthenticatedUser
from app.auth import get_current_user as get_authenticated_user
from app.dependencies import get_user_repository
from fastapi import Depends
from fastapi import Depends, HTTPException
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from packages.domain.entities import User
+1 -1
View File
@@ -6,7 +6,7 @@ import logging
import time
from typing import Callable
from fastapi import Request, Response
from fastapi import Request
from starlette.middleware.base import BaseHTTPMiddleware
logger = logging.getLogger(__name__)
-32
View File
@@ -1,32 +0,0 @@
from datetime import datetime
from pydantic import BaseModel, Field
class RecentTaskItem(BaseModel):
id: str
task_type: str = "generation"
status: str
current_step: str = ""
error_message: str = ""
updated_at: datetime | None = None
class SubscriptionInfo(BaseModel):
"""用户订阅信息。"""
plan: str = "free"
is_active: bool = False
class DashboardOverviewResponse(BaseModel):
"""Dashboard 概览数据。"""
total_assets: int = 0
used_storage_bytes: int = 0
total_titles: int = 0
total_voices: int = 0
total_tasks: int = 0
total_products: int = 0
subscription: SubscriptionInfo = Field(default_factory=SubscriptionInfo)
recent_tasks: list[RecentTaskItem] = Field(default_factory=list)
-109
View File
@@ -1,109 +0,0 @@
"""Job API schemas — Phase 8 任务 2.10."""
from __future__ import annotations
from datetime import datetime
from typing import Any, Optional
from pydantic import BaseModel, Field
class CreateJobRequest(BaseModel):
"""创建任务请求体。"""
project_id: str = Field(..., min_length=1, description="项目 ID")
job_type: str = Field(
...,
description="任务类型: video_compose / render_edit_plan / asset_ingest / classification / voice_extraction / generation",
)
payload: dict[str, Any] = Field(default_factory=dict, description="任务输入参数")
source_id: str = Field(default="", description="关联的业务实体 ID(如 edit_plan_id")
max_retries: int = Field(default=3, ge=0, le=10, description="最大重试次数")
class UpdateProgressRequest(BaseModel):
"""更新任务进度请求体。"""
progress: float = Field(..., ge=0.0, le=100.0, description="进度百分比")
current_stage: str = Field(default="", description="当前阶段描述")
class CompleteJobRequest(BaseModel):
"""完成任务请求体。"""
result: dict[str, Any] = Field(default_factory=dict, description="任务结果")
class FailJobRequest(BaseModel):
"""标记任务失败请求体。"""
error_message: str = Field(..., min_length=1, description="错误信息")
class JobResponse(BaseModel):
"""任务响应体。"""
id: str
project_id: str
job_type: str
status: str
progress: float
current_stage: str
payload: dict[str, Any]
result: dict[str, Any]
error_message: str
retry_count: int
max_retries: int
celery_task_id: str
source_id: str
created_by_user_id: str
is_retryable: bool
started_at: Optional[datetime] = None
completed_at: Optional[datetime] = None
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
class ListJobsResponse(BaseModel):
"""任务列表响应体。"""
items: list[JobResponse]
total: int
class JobStatisticsResponse(BaseModel):
"""任务统计响应体。"""
project_id: str
total: int
pending: int
running: int
success: int
failed: int
def job_to_response(job) -> JobResponse:
"""将 Job 领域对象转换为 API 响应。"""
return JobResponse(
id=job.id,
project_id=job.project_id,
job_type=job.job_type.value if hasattr(job.job_type, "value") else str(job.job_type),
status=job.status.value if hasattr(job.status, "value") else str(job.status),
progress=job.progress,
current_stage=job.current_stage,
payload=job.payload,
result=job.result,
error_message=job.error_message,
retry_count=job.retry_count,
max_retries=job.max_retries,
celery_task_id=job.celery_task_id,
source_id=job.source_id,
created_by_user_id=job.created_by_user_id,
is_retryable=job.is_retryable,
started_at=job.started_at,
completed_at=job.completed_at,
created_at=job.created_at,
updated_at=job.updated_at,
)
-86
View File
@@ -1,86 +0,0 @@
"""Recipe API schemas."""
from __future__ import annotations
from datetime import datetime
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
# ── Response ──
class RecipeItemResponse(BaseModel):
id: str
recipe_id: str
item_type: str
item_id: str
position: int
metadata_: Dict[str, Any] = Field(default_factory=dict, alias="metadata")
class Config:
populate_by_name = True
class RecipeResponse(BaseModel):
id: str
user_id: str
name: str
description: str = ""
template_id: str = ""
generation_params: Dict[str, Any] = Field(default_factory=dict)
items: List[RecipeItemResponse] = Field(default_factory=list)
is_active: bool = True
metadata_: Dict[str, Any] = Field(default_factory=dict, alias="metadata")
created_at: datetime
updated_at: datetime
class Config:
populate_by_name = True
class ListRecipesResponse(BaseModel):
items: List[RecipeResponse]
total: int = 0
class UseRecipeResponse(BaseModel):
recipe: RecipeResponse
warnings: List[Dict[str, Any]] = Field(default_factory=list)
# ── Request ──
class RecipeItemRequest(BaseModel):
item_type: str
item_id: str
position: int = 0
metadata_: Dict[str, Any] = Field(default_factory=dict, alias="metadata")
class Config:
populate_by_name = True
class CreateRecipeRequest(BaseModel):
name: str
description: str = ""
template_id: str = ""
generation_params: Dict[str, Any] = Field(default_factory=dict)
items: List[RecipeItemRequest] = Field(default_factory=list)
metadata_: Dict[str, Any] = Field(default_factory=dict, alias="metadata")
class Config:
populate_by_name = True
class UpdateRecipeRequest(BaseModel):
name: Optional[str] = None
description: Optional[str] = None
template_id: Optional[str] = None
generation_params: Optional[Dict[str, Any]] = None
items: Optional[List[RecipeItemRequest]] = None
metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata")
class Config:
populate_by_name = True
+1 -1
View File
@@ -2,7 +2,7 @@
from __future__ import annotations
from typing import List, Optional
from typing import Optional
from pydantic import BaseModel, Field
+1 -1
View File
@@ -24,7 +24,7 @@ from packages.adapters.sqlalchemy_impl import (
)
from packages.domain.asset import AssetType
from packages.domain.classification import AssetClassification
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.edit_plan_clip import EditPlanClip
logger = logging.getLogger(__name__)
@@ -18,7 +18,6 @@ from packages.adapters.sqlalchemy_impl import (
)
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.generation_task import GenerationTaskStatus
logger = logging.getLogger(__name__)
-1
View File
@@ -13,7 +13,6 @@ from __future__ import annotations
import logging
from typing import Any
from sqlalchemy.orm import Session
from packages.application.jobs import (
CancelJobUseCase,
@@ -13,7 +13,7 @@
from __future__ import annotations
import logging
from typing import Any, List, Optional
from typing import Any, List
from sqlalchemy.orm import Session
@@ -16,7 +16,6 @@ FFmpeg 视频合成编排服务:
from __future__ import annotations
import logging
import shutil
from dataclasses import dataclass, field
from typing import Any
@@ -28,7 +27,7 @@ from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import (
from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
SQLAlchemyEditPlanRepository,
)
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan import EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.template_clip_config import TransitionEffect
-42
View File
@@ -1,42 +0,0 @@
/**
* 仪表盘 API
* Phase 1 新增:用户仪表盘概览
*/
import apiClient from "./client";
/** 仪表盘概览数据 */
export interface DashboardOverview {
/** 素材总数 */
total_assets: number;
/** 已用存储(字节) */
used_storage_bytes: number;
/** 总标题数 */
total_titles: number;
/** 总配音数 */
total_voices: number;
/** 生成任务总数 */
total_tasks: number;
/** 成品总数 */
total_products: number;
/** 最近生成任务 */
recent_tasks: Array<{
id: string;
task_type: string;
status: string;
progress: number;
user_message: string;
created_at: string;
}>;
/** 订阅信息 */
subscription: {
plan: "free" | "pro" | "enterprise";
status: "active" | "inactive" | "expired";
expires_at?: string;
};
}
/** 获取仪表盘概览数据 */
export const getDashboardOverview = async (): Promise<DashboardOverview> => {
const response = await apiClient.get("/dashboard/overview");
return response.data;
};
@@ -1,365 +0,0 @@
/* V21 业务组件统一样式 */
/* ==================== 按钮 ==================== */
.xx-primary-btn {
background: var(--gradient-primary) !important;
color: var(--text-inverse) !important;
border: none !important;
border-radius: var(--radius-md) !important;
padding: 10px 20px !important;
font-weight: var(--font-weight-bold) !important;
box-shadow: var(--shadow-primary) !important;
transition: var(--transition-all) !important;
cursor: pointer;
height: auto !important;
}
.xx-primary-btn:hover {
box-shadow: var(--shadow-hover) !important;
transform: translateY(-1px);
}
.xx-ghost-btn {
background: transparent !important;
color: var(--primary-color) !important;
border: 2px solid var(--primary-color) !important;
border-radius: var(--radius-md) !important;
padding: var(--space-sm) 18px !important;
font-weight: var(--font-weight-bold) !important;
transition: var(--transition-all) !important;
cursor: pointer;
height: auto !important;
}
.xx-ghost-btn:hover {
background: var(--primary-soft) !important;
}
/* ==================== 卡片 ==================== */
.xx-card {
background: var(--bg-elevated);
border: 1px solid var(--border-color);
border-radius: var(--radius-xl);
box-shadow: var(--shadow-card);
padding: var(--space-lg);
margin-bottom: 20px;
transition: all var(--transition-slow);
}
.xx-card:hover {
box-shadow: var(--shadow-md);
transform: translateY(-2px);
}
/* ==================== 页面结构 ==================== */
.xx-page {
max-width: 1200px;
margin: 0 auto;
padding: var(--space-lg);
}
.xx-page-head {
display: flex;
justify-content: space-between;
align-items: flex-start;
gap: 18px;
margin-bottom: 28px;
}
.xx-page-head h2 {
font-size: 26px;
font-weight: var(--font-weight-extrabold);
color: var(--text-primary);
margin: 0 0 var(--space-sm);
}
.xx-page-head p {
font-size: var(--font-size-base);
color: var(--text-secondary);
margin: 0;
}
/* ==================== 表格样式 ==================== */
.xx-table-card {
background: var(--bg-elevated);
border: 1px solid var(--border-color);
border-radius: var(--radius-xl);
box-shadow: var(--shadow-card);
padding: 20px;
overflow: hidden;
}
/* 表格包装器 */
.xx-table-wrapper {
border-radius: var(--radius-lg);
overflow: hidden;
}
/* ==================== 标签/Tag ==================== */
.xx-tag {
padding: var(--space-xs) 12px;
border-radius: var(--radius-xs);
font-size: 13px;
font-weight: var(--font-weight-medium);
}
.xx-tag-indigo {
background: var(--primary-soft);
color: var(--primary-color);
border: 1px solid var(--color-primary-200);
}
.xx-tag-success {
background: var(--success-soft);
color: var(--color-secondary-500);
border: 1px solid var(--success-border);
}
.xx-tag-warning {
background: var(--warning-soft);
color: var(--accent-dark);
border: 1px solid var(--color-accent-200);
}
.xx-tag-error {
background: var(--error-soft);
color: var(--error-color);
border: 1px solid var(--error-border);
}
/* ==================== 搜索栏 ==================== */
.xx-search-bar {
margin-bottom: 20px;
}
.xx-search-input {
width: 100%;
padding: 12px 18px;
border: 2px solid var(--border-color);
border-radius: var(--radius-md);
font-size: var(--font-size-base);
background: var(--bg-primary);
transition: var(--transition-all);
outline: none;
}
.xx-search-input:focus {
border-color: var(--primary-color);
box-shadow: 0 0 0 4px
color-mix(in srgb, var(--primary-color) 10%, transparent);
}
/* ==================== Modal ==================== */
.xx-modal .ant-modal-content {
border-radius: var(--radius-xl);
padding: var(--space-lg);
}
.xx-modal .ant-modal-header {
border-radius: var(--radius-xl) var(--radius-xl) 0 0;
padding: 20px var(--space-lg);
border-bottom: 1px solid var(--border-color);
}
.xx-modal .ant-modal-title {
font-size: var(--font-size-lg);
font-weight: var(--font-weight-bold);
color: var(--text-primary);
}
.xx-modal .ant-modal-footer {
border-top: 1px solid var(--border-color);
padding: var(--space-md) var(--space-lg);
}
/* ==================== 空状态 ==================== */
.xx-empty-state {
text-align: center;
padding: var(--space-3xl) var(--space-lg);
color: var(--text-secondary);
}
.xx-empty-state-icon {
font-size: 48px;
margin-bottom: var(--space-md);
}
/* ==================== 网格布局 ==================== */
.xx-grid-2 {
display: grid;
grid-template-columns: repeat(2, 1fr);
gap: 20px;
}
.xx-grid-3 {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 20px;
}
.xx-grid-4 {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 20px;
}
@media (max-width: 768px) {
.xx-grid-2,
.xx-grid-3,
.xx-grid-4 {
grid-template-columns: 1fr;
}
}
/* ==================== 配额展示 ==================== */
.xx-quota-item {
padding: 20px;
background: var(--bg-primary);
border: 1px solid var(--border-color);
border-radius: var(--radius-lg);
transition: var(--transition-all);
}
.xx-quota-item:hover {
border-color: var(--primary-color);
box-shadow: 0 8px 24px
color-mix(in srgb, var(--primary-color) 10%, transparent);
}
/* ==================== 进度条 ==================== */
.xx-progress {
margin-top: 12px;
}
/* ==================== Ant Design 覆盖样式 ==================== */
/* Table overrides */
.ant-table-wrapper .ant-table-thead > tr > th {
background: var(--bg-secondary) !important;
font-weight: var(--font-weight-bold) !important;
color: var(--text-primary) !important;
border-bottom: 2px solid var(--border-color) !important;
padding: 14px var(--space-md) !important;
}
.ant-table-wrapper .ant-table-tbody > tr > td {
padding: 14px var(--space-md) !important;
border-bottom: 1px solid var(--color-gray-100) !important;
}
.ant-table-wrapper .ant-table-tbody > tr:hover > td {
background: var(--color-gray-50) !important;
}
/* Card overrides */
.ant-card {
border-radius: var(--radius-xl) !important;
border: 1px solid var(--border-color) !important;
}
.ant-card-head {
border-bottom: 1px solid var(--border-color) !important;
min-height: 52px !important;
padding: 0 var(--space-lg) !important;
}
.ant-card-head-title {
font-weight: var(--font-weight-bold) !important;
font-size: var(--font-size-md) !important;
color: var(--text-primary) !important;
}
.ant-card-body {
padding: 20px var(--space-lg) !important;
}
/* Modal overrides */
.ant-modal-content {
border-radius: var(--radius-xl) !important;
overflow: hidden;
}
.ant-modal-header {
padding: 20px var(--space-lg) !important;
background: var(--bg-primary) !important;
}
.ant-modal-title {
font-weight: var(--font-weight-bold) !important;
font-size: var(--font-size-lg) !important;
color: var(--text-primary) !important;
}
.ant-modal-body {
padding: var(--space-lg) !important;
}
.ant-modal-footer {
padding: var(--space-md) var(--space-lg) !important;
}
/* Button overrides */
.ant-btn-primary {
background: var(--gradient-primary) !important;
border: none !important;
border-radius: var(--radius-md) !important;
box-shadow: var(--shadow-primary) !important;
height: auto !important;
padding: 10px 20px !important;
font-weight: var(--font-weight-bold) !important;
}
.ant-btn-primary:hover {
background: var(--gradient-primary) !important;
box-shadow: var(--shadow-hover) !important;
transform: translateY(-1px);
}
/* Tag overrides */
.ant-tag {
border-radius: var(--radius-xs) !important;
padding: var(--space-xs) 12px !important;
font-weight: var(--font-weight-medium) !important;
}
/* Select overrides */
.ant-select-selector {
border-radius: var(--radius-md) !important;
border-color: var(--border-color) !important;
}
.ant-select:not(.ant-select-disabled):hover .ant-select-selector {
border-color: var(--primary-color) !important;
}
.ant-select-focused .ant-select-selector {
border-color: var(--primary-color) !important;
box-shadow: 0 0 0 3px
color-mix(in srgb, var(--primary-color) 10%, transparent) !important;
}
/* Input overrides */
.ant-input {
border-radius: var(--radius-md) !important;
border-color: var(--border-color) !important;
padding: 10px 14px !important;
}
.ant-input:hover {
border-color: var(--primary-color) !important;
}
.ant-input:focus {
border-color: var(--primary-color) !important;
box-shadow: 0 0 0 3px
color-mix(in srgb, var(--primary-color) 10%, transparent) !important;
}
/* Progress overrides */
.ant-progress-inner {
background: var(--color-gray-100) !important;
border-radius: var(--radius-xs) !important;
}
.ant-progress-bg {
border-radius: var(--radius-xs) !important;
}
@@ -1,290 +0,0 @@
/**
* CloneVoiceModal — 音色克隆弹窗
*
* 三步骤状态:input → uploading → success
* 支持上传音频文件或直接录制(mock,无真实录音)
*
* V21 Design System — 零 antd 直接导入
*/
import React, { useState, useCallback, useRef } from "react";
import { Modal, Button } from "@/components/ui";
import { createVoiceClone, toVoiceClone } from "@/api/voiceClone";
import type { VoiceClone } from "@/api/voiceClone";
import { uploadAsset } from "@/api/assets";
import "./clone-voice-modal.css";
/* ── 类型定义 ───────────────────────────────────────────── */
type ModalStep = "input" | "uploading" | "success";
export interface CloneVoiceModalProps {
/** 弹窗是否可见 */
open: boolean;
/** 关闭弹窗回调 */
onClose: () => void;
/** 克隆成功回调(返回新创建的音色) */
onSuccess?: (voice: VoiceClone) => void;
}
/* ── 默认音色名称计数器 ─────────────────────────────────── */
let cloneCounter = 1;
const getNextDefaultName = (): string => {
const name = `我的声音 ${cloneCounter}`;
cloneCounter += 1;
return name;
};
/* ── 组件 ───────────────────────────────────────────────── */
const CloneVoiceModal: React.FC<CloneVoiceModalProps> = ({
open,
onClose,
onSuccess,
}) => {
const [step, setStep] = useState<ModalStep>("input");
const [voiceName, setVoiceName] = useState("");
const [isRecording, setIsRecording] = useState(false);
const [selectedFile, setSelectedFile] = useState<File | null>(null);
const [dragActive, setDragActive] = useState(false);
const fileInputRef = useRef<HTMLInputElement>(null);
/** 重置弹窗状态 */
const resetState = useCallback(() => {
setStep("input");
setVoiceName("");
setSelectedFile(null);
setIsRecording(false);
setDragActive(false);
}, []);
/** 关闭弹窗 */
const handleClose = useCallback(() => {
resetState();
onClose();
}, [resetState, onClose]);
/** 上传区域点击 */
const handleUploadClick = () => {
fileInputRef.current?.click();
};
/** 文件选择 */
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (file) {
setSelectedFile(file);
// 清除之前的录制状态
setIsRecording(false);
}
// 清空 input 以允许重复选择同一文件
e.target.value = "";
};
/** 拖拽事件 */
const handleDrag = (e: React.DragEvent) => {
e.preventDefault();
e.stopPropagation();
if (e.type === "dragenter" || e.type === "dragover") {
setDragActive(true);
} else if (e.type === "dragleave") {
setDragActive(false);
}
};
const handleDrop = (e: React.DragEvent) => {
e.preventDefault();
e.stopPropagation();
setDragActive(false);
const file = e.dataTransfer.files?.[0];
if (file) {
const ext = file.name.split(".").pop()?.toLowerCase();
if (ext === "mp3" || ext === "wav") {
setSelectedFile(file);
setIsRecording(false);
}
}
};
/** 录制按钮(mock */
const handleRecord = () => {
setIsRecording((prev) => !prev);
if (!isRecording) {
// 开始录制 — 清除已选文件
setSelectedFile(null);
}
};
/** 开始克隆 */
const handleStartClone = async () => {
const name = voiceName.trim() || getNextDefaultName();
setStep("uploading");
try {
// 先上传音频文件获取真实 URL
let audioUrl: string;
if (selectedFile) {
const formData = new FormData();
formData.append("file", selectedFile);
formData.append("kind", "voice");
const uploadResult = await uploadAsset(formData);
audioUrl = uploadResult.url;
} else {
// 录制功能暂未实现,提示用户上传
setStep("input");
return;
}
// 提交克隆请求
const result = await createVoiceClone({
name,
audio_url: audioUrl,
});
setStep("success");
// 2秒后自动关闭
setTimeout(() => {
onSuccess?.(toVoiceClone(result));
handleClose();
}, 2000);
} catch {
setStep("input");
}
};
/** 弹窗打开时初始化默认名称 */
const handleAfterOpenChange = (visible: boolean) => {
if (visible) {
setVoiceName(getNextDefaultName());
}
};
const canStart = selectedFile || isRecording;
return (
<Modal
open={open}
onCancel={handleClose}
title="🎤 克隆新音色"
width={520}
footer={null}
destroyOnClose
afterOpenChange={handleAfterOpenChange}
>
{/* ── 输入步骤 ──────────────────────────────────── */}
{step === "input" && (
<div className="cvm-body">
{/* 音色名称 */}
<div className="cvm-field">
<label className="cvm-label"></label>
<input
type="text"
className="cvm-input"
value={voiceName}
onChange={(e) => setVoiceName(e.target.value)}
placeholder="输入音色名称"
/>
</div>
{/* 上传区域 */}
<div className="cvm-field">
<label className="cvm-label"></label>
<div
className={`cvm-upload-zone${dragActive ? " cvm-upload-zone--active" : ""}`}
onClick={handleUploadClick}
onDragEnter={handleDrag}
onDragOver={handleDrag}
onDragLeave={handleDrag}
onDrop={handleDrop}
>
<div className="cvm-upload-icon">🎵</div>
<p className="cvm-upload-title">
{selectedFile ? selectedFile.name : "拖拽音频文件到此处"}
</p>
<p className="cvm-upload-hint"> MP3WAV </p>
<input
ref={fileInputRef}
type="file"
accept=".mp3,.wav,audio/mpeg,audio/wav"
style={{ display: "none" }}
onChange={handleFileChange}
/>
</div>
</div>
{/* 或分隔 */}
<div className="cvm-divider">
<div className="cvm-divider-line" />
<span className="cvm-divider-text"></span>
<div className="cvm-divider-line" />
</div>
{/* 录制区域 */}
<div className="cvm-field">
<label className="cvm-label"></label>
<div className="cvm-record-area">
<p className="cvm-record-hint">
{isRecording
? "录制中…再次点击停止"
: "点击按钮开始录制你的声音"}
</p>
<button
type="button"
className={`cvm-record-btn${isRecording ? " cvm-record-btn--recording" : ""}`}
onClick={handleRecord}
>
🎙
</button>
</div>
</div>
{/* 提示 */}
<div className="cvm-tip">
<span className="cvm-tip-icon">💡</span>
<span>
10~3
</span>
</div>
{/* 底部按钮 */}
<div className="cvm-footer">
<Button buttonType="ghost" onClick={handleClose}>
</Button>
<Button
buttonType="primary"
disabled={!canStart}
onClick={handleStartClone}
>
🎤
</Button>
</div>
</div>
)}
{/* ── 上传中步骤 ────────────────────────────────── */}
{step === "uploading" && (
<div className="cvm-uploading">
<div className="cvm-uploading-spinner" />
<p className="cvm-uploading-text"></p>
<p className="cvm-uploading-sub">AI </p>
</div>
)}
{/* ── 成功步骤 ──────────────────────────────────── */}
{step === "success" && (
<div className="cvm-success">
<div className="cvm-success-icon"></div>
<h3 className="cvm-success-title"></h3>
<p className="cvm-success-desc">
</p>
</div>
)}
</Modal>
);
};
export default CloneVoiceModal;
@@ -1,325 +0,0 @@
/**
* CloneVoiceModal — V21 Design System
*
* 音色克隆弹窗样式
* 三步骤状态:input → uploading → success
*/
/* ── 弹窗内容区 ─────────────────────────────────────────── */
.cvm-body {
display: flex;
flex-direction: column;
gap: 20px;
}
/* ── 表单区 ─────────────────────────────────────────────── */
.cvm-field {
display: flex;
flex-direction: column;
gap: 6px;
}
.cvm-label {
font-size: 13px;
font-weight: 600;
color: var(--text-secondary, #475467);
}
.cvm-input {
width: 100%;
padding: 10px 14px;
border: 1px solid var(--line, #e4e7ec);
border-radius: var(--radius-sm);
background: var(--bg-surface, #fff);
color: var(--text-primary, #101828);
font-size: 14px;
line-height: 1.5;
transition:
border-color 0.2s,
box-shadow 0.2s;
outline: none;
}
.cvm-input:focus {
border-color: var(--primary, #6366f1);
box-shadow: 0 0 0 3px
color-mix(in srgb, var(--primary-color) 12%, transparent);
}
.cvm-input::placeholder {
color: var(--muted, #98a2b3);
}
/* ── 上传区域 ───────────────────────────────────────────── */
.cvm-upload-zone {
border: 2px dashed var(--line, #e4e7ec);
border-radius: var(--radius-md);
padding: 28px 20px;
text-align: center;
background: var(--bg-subtle, #f8fafc);
cursor: pointer;
transition:
border-color 0.2s,
background 0.2s;
}
.cvm-upload-zone:hover {
border-color: var(--primary, #6366f1);
background: color-mix(in srgb, var(--primary-color) 4%, transparent);
}
.cvm-upload-zone.cvm-upload-zone--active {
border-color: var(--primary, #6366f1);
background: color-mix(in srgb, var(--primary-color) 6%, transparent);
}
.cvm-upload-icon {
font-size: 36px;
margin-bottom: 8px;
line-height: 1;
}
.cvm-upload-title {
font-size: 14px;
font-weight: 600;
color: var(--text-primary, #101828);
margin: 0 0 4px;
}
.cvm-upload-hint {
font-size: 13px;
color: var(--muted, #98a2b3);
margin: 0;
}
/* ── 或分隔线 ───────────────────────────────────────────── */
.cvm-divider {
display: flex;
align-items: center;
gap: 16px;
margin: 4px 0;
}
.cvm-divider-line {
flex: 1;
height: 1px;
background: var(--line, #e4e7ec);
}
.cvm-divider-text {
font-size: 13px;
color: var(--muted, #98a2b3);
flex-shrink: 0;
}
/* ── 录制区域 ───────────────────────────────────────────── */
.cvm-record-area {
border: 1px solid var(--line, #e4e7ec);
border-radius: var(--radius-md);
padding: 24px;
text-align: center;
}
.cvm-record-hint {
font-size: 13px;
color: var(--muted, #98a2b3);
margin: 0 0 14px;
}
.cvm-record-btn {
width: 80px;
height: 80px;
border-radius: 50%;
border: none;
cursor: pointer;
font-size: 32px;
line-height: 1;
padding: 0;
background: linear-gradient(
135deg,
var(--error-color, #ef4444),
var(--error-dark, #dc2626)
);
color: var(--text-inverse);
box-shadow: 0 4px 14px
color-mix(in srgb, var(--error-color, #ef4444) 35%, transparent);
transition:
transform 0.15s,
box-shadow 0.15s;
display: inline-flex;
align-items: center;
justify-content: center;
}
.cvm-record-btn:hover {
transform: scale(1.06);
box-shadow: 0 6px 20px
color-mix(in srgb, var(--error-color, #ef4444) 45%, transparent);
}
.cvm-record-btn:active {
transform: scale(0.96);
}
.cvm-record-btn--recording {
animation: cvm-pulse 1.2s ease-in-out infinite;
}
@keyframes cvm-pulse {
0%,
100% {
box-shadow: 0 4px 14px
color-mix(in srgb, var(--error-color, #ef4444) 35%, transparent);
}
50% {
box-shadow: 0 4px 28px
color-mix(in srgb, var(--error-color, #ef4444) 60%, transparent);
}
}
/* ── 提示条 ─────────────────────────────────────────────── */
.cvm-tip {
display: flex;
align-items: flex-start;
gap: 8px;
padding: 12px 16px;
background: var(--warning-soft, #fef3c7);
border-radius: var(--radius-sm);
font-size: 13px;
color: var(--warning-color, #92400e);
line-height: 1.5;
}
.cvm-tip-icon {
flex-shrink: 0;
font-size: 14px;
line-height: 1.5;
}
/* ── 底部按钮 ───────────────────────────────────────────── */
.cvm-footer {
display: flex;
gap: 12px;
margin-top: 4px;
}
.cvm-footer .xx-btn {
flex: 1;
}
/* ── 上传中状态 ─────────────────────────────────────────── */
.cvm-uploading {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 48px 20px;
gap: 16px;
}
.cvm-uploading-spinner {
width: 48px;
height: 48px;
border: 3px solid var(--line, #e4e7ec);
border-top-color: var(--primary, #6366f1);
border-radius: 50%;
animation: cvm-spin 0.8s linear infinite;
}
@keyframes cvm-spin {
to {
transform: rotate(360deg);
}
}
.cvm-uploading-text {
font-size: 15px;
font-weight: 500;
color: var(--text-primary, #101828);
margin: 0;
}
.cvm-uploading-sub {
font-size: 13px;
color: var(--muted, #98a2b3);
margin: 0;
}
/* ── 成功状态 ───────────────────────────────────────────── */
.cvm-success {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 48px 20px;
gap: 12px;
}
.cvm-success-icon {
font-size: 56px;
line-height: 1;
}
.cvm-success-title {
font-size: 18px;
font-weight: 700;
color: var(--text-primary, #101828);
margin: 0;
}
.cvm-success-desc {
font-size: 14px;
color: var(--muted, #98a2b3);
margin: 0;
}
/* ── 响应式 ─────────────────────────────────────────────── */
@media (max-width: 768px) {
.cvm-overlay {
padding: var(--space-md);
}
.cvm-modal {
width: 100%;
max-width: 100%;
padding: var(--space-lg);
}
}
@media (max-width: 576px) {
.cvm-upload-zone {
padding: 20px 14px;
}
.cvm-record-btn {
width: 64px;
height: 64px;
font-size: 26px;
}
.cvm-footer {
flex-direction: column;
}
}
@media (max-width: 480px) {
.cvm-record-btn {
width: 60px;
height: 60px;
}
.cvm-tip {
font-size: 12px;
padding: var(--space-sm);
}
}
+20
View File
@@ -532,3 +532,23 @@
padding: 8px 16px !important;
}
}
/* ── xx-card antd 子元素覆盖样式(从 Admin.css 迁移) ── */
/* AdminComingSoon 等页面使用 <Card className="xx-card"> 时需要 */
/* .xx-card 基础样式和 :hover 已在 global.css 中定义(V21 设计系统) */
.xx-card .ant-card-head {
border-bottom: 1px solid var(--border-color);
padding: 20px 24px;
}
.xx-card .ant-card-head-title {
font-weight: 800;
font-size: 17px;
color: var(--text-primary);
}
.xx-card .ant-card-body {
padding: 24px;
}
-211
View File
@@ -1,211 +0,0 @@
/**
* 统一导航配置
* Header 和 Sidebar 共用此数据源
*/
import React from "react";
import {
DashboardOutlined,
VideoCameraOutlined,
FileOutlined,
AudioOutlined,
FileTextOutlined,
TrophyOutlined,
AppstoreOutlined,
HistoryOutlined,
ControlOutlined,
CrownOutlined,
ScanOutlined,
EditOutlined,
FolderOutlined,
} from "@ant-design/icons";
/** 导航项定义 */
export interface NavItem {
key: string;
label: string;
path: string;
icon: React.ReactNode;
}
/** 导航分组定义 */
export interface NavGroup {
title: string;
items: NavItem[];
}
/**
* 扁平导航列表(Header 使用)
*/
export const NAV_ITEMS: NavItem[] = [
{
key: "dashboard",
label: "概览",
path: "/app/dashboard",
icon: <DashboardOutlined />,
},
{
key: "assets",
label: "素材库",
path: "/app/assets",
icon: <FileOutlined />,
},
{
key: "titles",
label: "标题库",
path: "/app/titles",
icon: <FileTextOutlined />,
},
{
key: "voices",
label: "配音库",
path: "/app/voices",
icon: <AudioOutlined />,
},
{
key: "voice-clone",
label: "我的音色",
path: "/app/voice-clone",
icon: <AudioOutlined />,
},
{
key: "voice-materials",
label: "配音素材库",
path: "/app/voice-materials",
icon: <AudioOutlined />,
},
{
key: "templates",
label: "模板库",
path: "/app/templates",
icon: <AppstoreOutlined />,
},
{
key: "editing-planner",
label: "剪辑编辑器",
path: "/app/editing-planner",
icon: <EditOutlined />,
},
{
key: "my-templates",
label: "我的模板",
path: "/app/my-templates",
icon: <FolderOutlined />,
},
{
key: "generate",
label: "一键生成",
path: "/app/generate",
icon: <VideoCameraOutlined />,
},
{
key: "history",
label: "任务历史",
path: "/app/history",
icon: <HistoryOutlined />,
},
{
key: "products",
label: "成品库",
path: "/app/products",
icon: <TrophyOutlined />,
},
{
key: "duplication",
label: "查重",
path: "/app/duplication",
icon: <ScanOutlined />,
},
];
/**
* 分组导航列表(Sidebar 使用)
*/
export const NAV_GROUPS: NavGroup[] = [
{
title: "创作工具",
items: [
{
key: "dashboard",
label: "首页",
path: "/app/dashboard",
icon: <DashboardOutlined />,
},
{
key: "generate",
label: "一键生成",
path: "/app/generate",
icon: <VideoCameraOutlined />,
},
],
},
{
title: "资源管理",
items: [
{
key: "assets",
label: "素材库",
path: "/app/assets",
icon: <FileOutlined />,
},
{
key: "voices",
label: "配音库",
path: "/app/voices",
icon: <AudioOutlined />,
},
{
key: "voice-clone",
label: "我的音色",
path: "/app/voice-clone",
icon: <AudioOutlined />,
},
{
key: "voice-materials",
label: "配音素材库",
path: "/app/voice-materials",
icon: <AudioOutlined />,
},
{
key: "titles",
label: "标题库",
path: "/app/titles",
icon: <FileTextOutlined />,
},
{
key: "products",
label: "成片库",
path: "/app/products",
icon: <TrophyOutlined />,
},
{
key: "templates",
label: "模板库",
path: "/app/templates",
icon: <AppstoreOutlined />,
},
],
},
{
title: "系统",
items: [
{
key: "history",
label: "任务历史",
path: "/app/history",
icon: <HistoryOutlined />,
},
{
key: "admin",
label: "控制台",
path: "/app/admin",
icon: <ControlOutlined />,
},
{
key: "subscription",
label: "订阅管理",
path: "/app/subscription",
icon: <CrownOutlined />,
},
],
},
];
+2 -2
View File
@@ -153,7 +153,7 @@ const Accounts: React.FC = () => {
},
});
/** 绑定 mutationmock */
/** 绑定 mutation */
const bindMutation = useMutation({
mutationFn: bindAccount,
onSuccess: () => {
@@ -165,7 +165,7 @@ const Accounts: React.FC = () => {
},
});
/** 绑定新账号mock:直接创建) */
/** 绑定新账号 */
const handleBind = (platformId: PlatformId) => {
const platform = PLATFORMS.find((p) => p.id === platformId);
if (!platform) return;
-40
View File
@@ -75,35 +75,6 @@
margin: 0;
}
/* V21 卡片 */
.xx-card {
background: rgba(255, 255, 255, 0.94);
border: 1px solid rgba(226, 232, 240, 0.95);
border-radius: var(--radius-lg);
box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
padding: 24px;
transition: all 0.3s;
}
.xx-card:hover {
box-shadow: 0 16px 40px rgba(15, 23, 42, 0.08);
}
.xx-card .ant-card-head {
border-bottom: 1px solid rgba(226, 232, 240, 0.8);
padding: 20px 24px;
}
.xx-card .ant-card-head-title {
font-weight: 800;
font-size: 17px;
color: var(--slate, #0f172a);
}
.xx-card .ant-card-body {
padding: 24px;
}
/* 统计卡片网格 - 4列 */
.xx-grid-4 {
display: grid;
@@ -302,17 +273,6 @@
box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
}
/* V21 Select */
.xx-select {
border-radius: var(--radius-md) !important;
}
.xx-select:hover,
.xx-select:focus {
border-color: var(--indigo, #4f46e5) !important;
box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
}
/* V21 Tag */
.xx-tag {
border-radius: var(--radius-xs) !important;
@@ -29,6 +29,7 @@ interface KpiItem {
accent: string;
}
// TODO: kpiData 当前使用硬编码 mock 数据,待后端提供 Dashboard 统计 API 后替换
const kpiData: KpiItem[] = [
{
key: "projects",
@@ -81,6 +82,7 @@ interface QuickEntry {
path: string;
}
// TODO: quickEntries 描述中含硬编码计数(如 486个素材),待后端 API 后动态化
const quickEntries: QuickEntry[] = [
{
id: "titles",
@@ -135,6 +137,7 @@ const statusLabel: Record<TaskStatus, string> = {
failed: "失败",
};
// TODO: recentTasks 当前使用硬编码 mock 数据,待后端提供最近任务 API 后替换
const recentTasks: RecentTask[] = [
{
id: "t-1",
-48
View File
@@ -612,54 +612,6 @@
flex: 1;
}
/* ============================================================
按钮(匹配原型 .btn .ghost / .btn .primary
============================================================ */
.xx-btn {
display: inline-flex;
align-items: center;
justify-content: center;
gap: 6px;
height: 42px;
padding: 0 20px;
border-radius: var(--radius-sm);
font-size: 14px;
font-weight: 600;
cursor: pointer;
transition: all 0.15s ease;
border: none;
outline: none;
white-space: nowrap;
}
.xx-btn:disabled {
opacity: 0.5;
cursor: not-allowed;
}
.xx-btn-primary {
background: var(--gradient-primary);
color: var(--text-inverse);
box-shadow: 0 14px 26px rgba(79, 70, 229, 0.22);
}
.xx-btn-primary:hover:not(:disabled) {
transform: translateY(-2px);
box-shadow: 0 18px 34px rgba(79, 70, 229, 0.28);
}
.xx-btn-ghost {
background: var(--bg-primary);
border: 1px solid var(--border-color);
color: var(--text-secondary);
}
.xx-btn-ghost:hover:not(:disabled) {
border-color: var(--info-border);
color: var(--primary-dark);
background: var(--primary-soft);
}
/* ============================================================
右侧预览区 generate-preview
============================================================ */
+2 -6
View File
@@ -55,13 +55,9 @@ interface TitleData {
/* ============================================================
* Mock 数据
* ============================================================ */
// TODO: 分类数据当前为前端硬编码 mock,待后端提供标题分类 API 后替换
const MOCK_CATEGORIES: CategoryItem[] = [
{ id: "cat-all", name: "全部标题", count: 15 },
{ id: "cat-1", name: "美食探店", count: 4 },
{ id: "cat-2", name: "科技数码", count: 3 },
{ id: "cat-3", name: "生活日常", count: 4 },
{ id: "cat-4", name: "美妆穿搭", count: 2 },
{ id: "cat-5", name: "教育学习", count: 2 },
{ id: "cat-all", name: "全部标题", count: 0 },
];
/** 后端 TitleItem → 前端 TitleData 映射 */
@@ -18,7 +18,7 @@ import {
CloseCircleOutlined,
} from "@ant-design/icons";
import PageHead from "@/components/layout/PageHead";
import CloneVoiceModal from "@/components/modals/CloneVoiceModal";
import CloneModal from "@/components/voice/CloneModal";
import {
getVoiceClones,
deleteVoiceClone,
@@ -356,7 +356,7 @@ const VoiceClone: React.FC = () => {
)}
{/* 克隆音色弹窗 */}
<CloneVoiceModal
<CloneModal
open={cloneModalOpen}
onClose={() => setCloneModalOpen(false)}
onSuccess={() => {
-7
View File
@@ -170,13 +170,6 @@ export const router = createBrowserRouter([
Component: m.default,
})),
},
{
path: "my-voices",
lazy: () =>
import("@/pages/my-voices/MyVoices").then((m) => ({
Component: m.default,
})),
},
{
path: "accounts",
lazy: () =>
+6 -7
View File
@@ -1,18 +1,17 @@
"""
视频处理模块
轻量工具(ffmpeg_utils / oss_helpers / dedup_helpers)顶层直接导出,
无额外依赖。渲染相关组件(UnifiedRenderService / RenderAdapter /
VideoProcessor 等)按需从子模块导入,避免 __init__ 阶段引入
packages / DB 等重依赖。
"""
# 共享工具模块(供 editing_modes / generation / edit_plan_generation 等复用)
# 共享工具模块(零外部依赖,供 editing_modes / generation / edit_plan_generation 等复用)
from . import dedup_helpers, ffmpeg_utils, oss_helpers
from .processor import VideoProcessor, VideoResult
from .unified_render_service import RenderResult, UnifiedRenderService
__all__ = [
"VideoProcessor",
"VideoResult",
"ffmpeg_utils",
"oss_helpers",
"dedup_helpers",
"UnifiedRenderService",
"RenderResult",
]
+7 -6
View File
@@ -1,10 +1,8 @@
"""Video deduplication module - compute fingerprints and detect duplicates."""
import hashlib
import json
import logging
import os
import subprocess
import tempfile
from dataclasses import dataclass
from typing import Optional
@@ -93,12 +91,16 @@ class VideoFingerprint:
resolution: tuple[int, int]
def to_dict(self) -> dict:
# 注意:color_histograms 里的值可能是 np.float32(来自 cv2.normalize),
# 直接存进 dict 后 SQLAlchemy JSON 序列化会报 "float32 is not JSON serializable"。
# 这里统一转成 Python 原生 float。
native_histograms = [[float(v) for v in hist] for hist in self.color_histograms]
return {
"md5": self.md5,
"keyframe_phashes": self.keyframe_phashes,
"color_histograms": self.color_histograms,
"duration": self.duration,
"resolution": list(self.resolution),
"color_histograms": native_histograms,
"duration": float(self.duration),
"resolution": [int(self.resolution[0]), int(self.resolution[1])],
}
@@ -323,7 +325,6 @@ def check_duplicate_task(self: Task, generated_video_id: str) -> dict:
raise ValueError(f"Generated video {generated_video_id} not found")
local_path = os.path.join(temp_dir, f"{generated_video_id}.mp4")
storage_key = video.file_url.split("/")[-1]
storage_service.download_file(
f"projects/{video.project_id}/generated/{generated_video_id}/{generated_video_id}.mp4", local_path
)
@@ -1,657 +0,0 @@
"""
视频剪辑模式处理器
支持四种剪辑模式:一镜到底、画中画、口播、口播+画中画
"""
import logging
import os
import sys
import tempfile
from dataclasses import dataclass
if sys.version_info >= (3, 11):
from enum import StrEnum
else:
from enum import Enum
class StrEnum(str, Enum):
pass
from pathlib import Path
from typing import Optional
from video_processing.ffmpeg_utils import FFMPEG_BIN, probe_video_info, run_ffmpeg
logger = logging.getLogger(__name__)
# 从 domain 层导入 EditingMode,避免重复定义
from packages.domain.editing_mode import EditingMode
class PIPPosition(StrEnum):
"""画中画位置枚举"""
TOP_LEFT = "top_left"
TOP_RIGHT = "top_right"
BOTTOM_LEFT = "bottom_left"
BOTTOM_RIGHT = "bottom_right"
@dataclass
class EditingModeConfig:
"""剪辑模式配置"""
mode: EditingMode
output_width: int = 1280
output_height: int = 720
output_fps: int = 25
pip_position: PIPPosition = PIPPosition.TOP_RIGHT
pip_scale: float = 0.25 # 画中画占主画面的比例
transition_duration: float = 0.5 # 转场时长(秒)
output_codec: str = "libx264"
output_preset: str = "medium"
output_crf: int = 23
class EditingModeProcessor:
"""剪辑模式处理器"""
def __init__(self, config: EditingModeConfig, work_dir: Optional[str] = None):
"""
初始化剪辑模式处理器
Args:
config: 剪辑模式配置
work_dir: 工作目录,默认使用系统临时目录
"""
self.config = config
self.work_dir = work_dir or tempfile.gettempdir()
def process(
self,
video_paths: list[str],
audio_path: Optional[str] = None,
output_path: Optional[str] = None,
) -> str:
"""
根据模式处理视频,返回输出文件路径
Args:
video_paths: 视频素材路径列表
audio_path: 音频路径(用于口播模式)
output_path: 输出文件路径,默认自动生成
Returns:
输出文件路径
"""
if not video_paths:
raise ValueError("video_paths cannot be empty")
self._validate_inputs(video_paths, audio_path)
if output_path is None:
output_path = self._generate_output_path()
logger.info(f"Processing videos with mode: {self.config.mode}, count: {len(video_paths)}")
try:
if self.config.mode == EditingMode.ONE_TAKE:
return self._one_take(video_paths, output_path)
elif self.config.mode == EditingMode.PIP:
return self._pip(video_paths, output_path)
elif self.config.mode == EditingMode.VOICE_OVER:
return self._voice_over(video_paths, audio_path, output_path)
elif self.config.mode == EditingMode.VOICE_PIP:
return self._voice_pip(video_paths, audio_path, output_path)
else:
raise ValueError(f"Unsupported editing mode: {self.config.mode}")
except Exception as e:
logger.error(f"Error processing videos: {e}")
raise
def _validate_inputs(self, video_paths: list[str], audio_path: Optional[str]) -> None:
"""验证输入文件"""
for path in video_paths:
if not os.path.exists(path):
raise FileNotFoundError(f"Video file not found: {path}")
if not os.path.getsize(path) > 0:
raise ValueError(f"Video file is empty: {path}")
if audio_path and not os.path.exists(audio_path):
raise FileNotFoundError(f"Audio file not found: {audio_path}")
def _generate_output_path(self) -> str:
"""生成输出文件路径"""
os.makedirs(self.work_dir, exist_ok=True)
return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
"""执行 FFmpeg 命令 — 委托给共享 ffmpeg_utils.run_ffmpeg"""
try:
return run_ffmpeg(command, capture_output=capture_output)
except RuntimeError as e:
logger.error(f"FFmpeg error: {e}")
raise
def _get_video_info(self, video_path: str) -> dict:
"""获取视频信息 — 委托给共享 ffmpeg_utils.probe_video_info,补充 codec/size 字段"""
try:
info = probe_video_info(video_path)
info["codec"] = "unknown"
info["size"] = os.path.getsize(video_path) if os.path.exists(video_path) else 0
return info
except Exception as e:
logger.warning(f"Failed to get video info for {video_path}: {e}")
return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
def _get_pip_position_offset(
self, main_width: int, main_height: int, pip_width: int, pip_height: int
) -> tuple[int, int]:
"""获取画中画位置偏移量"""
margin = 10
position_offsets = {
PIPPosition.TOP_LEFT: (margin, margin),
PIPPosition.TOP_RIGHT: (main_width - pip_width - margin, margin),
PIPPosition.BOTTOM_LEFT: (margin, main_height - pip_height - margin),
PIPPosition.BOTTOM_RIGHT: (main_width - pip_width - margin, main_height - pip_height - margin),
}
return position_offsets.get(self.config.pip_position, position_offsets[PIPPosition.TOP_RIGHT])
def _normalize_video(self, input_path: str, output_path: str) -> dict:
"""标准化视频格式:先统一帧率,再缩放/填充"""
command = [
FFMPEG_BIN,
"-y",
"-i",
input_path,
"-r",
str(self.config.output_fps), # 先统一帧率
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}:force_original_aspect_ratio=decrease,pad={self.config.output_width}:{self.config.output_height}:(ow-iw)/2:(oh-ih)/2,setsar=1",
"-r",
str(self.config.output_fps),
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-movflags",
"+faststart",
"-an",
output_path,
]
run_ffmpeg(command)
return self._get_video_info(output_path)
def _one_take(self, video_paths: list[str], output_path: str) -> str:
"""一镜到底模式:顺序拼接视频,添加淡入淡出转场"""
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
normalized_paths = []
for i, path in enumerate(video_paths):
normalized = os.path.join(self.work_dir, f"normalized_{i}_{os.getpid()}.mp4")
self._normalize_video(path, normalized)
normalized_paths.append(normalized)
durations = [self._get_video_info(p)["duration"] for p in normalized_paths]
if len(normalized_paths) <= 5:
output_path = self._one_take_with_xfade(normalized_paths, durations, output_path)
else:
output_path = self._one_take_simple_concat(normalized_paths, output_path)
for p in normalized_paths:
try:
if p != output_path:
os.remove(p)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def _one_take_with_xfade(self, normalized_paths: list[str], durations: list[float], output_path: str) -> str:
"""使用 xfade 滤镜实现转场"""
if len(normalized_paths) == 2:
transition = self.config.transition_duration
offset1 = durations[0] - transition / 2
command = [
FFMPEG_BIN,
"-y",
"-i",
normalized_paths[0],
"-i",
normalized_paths[1],
"-filter_complex",
f"[0:v][1:v]xfade=transition=fade:duration={transition}:offset={offset1}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
run_ffmpeg(command)
return output_path
else:
return self._one_take_simple_concat(normalized_paths, output_path)
def _one_take_simple_concat(self, normalized_paths: list[str], output_path: str) -> str:
"""使用 concat demuxer 简单拼接"""
concat_file = os.path.join(self.work_dir, f"concat_list_{os.getpid()}.txt")
with open(concat_file, "w") as f:
for path in normalized_paths:
f.write(f"file '{os.path.abspath(path)}'\n")
command = [
FFMPEG_BIN,
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
concat_file,
"-c",
"copy",
output_path,
]
run_ffmpeg(command)
try:
os.remove(concat_file)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def _pip(self, video_paths: list[str], output_path: str) -> str:
"""画中画模式:主视频全屏,后续视频叠加在角落"""
if not video_paths:
raise ValueError("No video paths provided")
main_video = video_paths[0]
main_normalized = os.path.join(self.work_dir, f"main_{os.getpid()}.mp4")
main_info = self._normalize_video(main_video, main_normalized)
if len(video_paths) == 1:
os.rename(main_normalized, output_path)
return output_path
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
pip_normalized = os.path.join(self.work_dir, f"pip_{os.getpid()}.mp4")
pip_info = self._get_video_info(video_paths[1])
if pip_info["duration"] > main_info["duration"]:
temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-i",
video_paths[1],
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
temp_pip,
]
run_ffmpeg(command)
pip_normalized_input = temp_pip
else:
command = [
FFMPEG_BIN,
"-y",
"-i",
video_paths[1],
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
pip_normalized,
]
run_ffmpeg(command)
pip_normalized_input = pip_normalized
if main_info["duration"] > pip_info["duration"]:
looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-stream_loop",
"-1",
"-i",
pip_normalized_input,
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_pip,
]
run_ffmpeg(command)
pip_normalized_input = looped_pip
command = [
FFMPEG_BIN,
"-y",
"-i",
main_normalized,
"-i",
pip_normalized_input,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
run_ffmpeg(command)
for temp_file in [main_normalized, pip_normalized]:
if temp_file and temp_file != output_path:
try:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True
)
return output_path
def _voice_over(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
"""口播模式:背景画面 + 配音"""
if not audio_path:
raise ValueError("audio_path is required for VOICE_OVER mode")
if not video_paths:
raise ValueError("No background video provided")
audio_info = self._get_video_info(audio_path)
audio_duration = audio_info["duration"]
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(video_paths[0], bg_normalized)
if bg_info["duration"] < audio_duration:
looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-stream_loop",
"-1",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_bg,
]
run_ffmpeg(command)
bg_normalized = looped_bg
elif bg_info["duration"] > audio_duration:
temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-c:v",
"copy",
temp_bg,
]
run_ffmpeg(command)
bg_normalized = temp_bg
blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-i",
bg_normalized,
"-vf",
f"boxblur=5:5,scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
blurred_bg,
]
run_ffmpeg(command)
command = [
FFMPEG_BIN,
"-y",
"-i",
blurred_bg,
"-i",
audio_path,
"-filter_complex",
"[0:v]drawbox=x=0:y=0:w=iw:h=ih:color=black@0.3:t=fill[v]",
"-map",
"[v]",
"-map",
"1:a",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-shortest",
output_path,
]
run_ffmpeg(command)
for temp_file in [bg_normalized, blurred_bg]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def _voice_pip(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
"""口播+画中画模式:口播视频在角落,其他视频作为背景"""
if not video_paths:
raise ValueError("No video paths provided")
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
voice_video = video_paths[0]
bg_video = video_paths[1] if len(video_paths) > 1 else video_paths[0]
voice_normalized = os.path.join(self.work_dir, f"voice_{os.getpid()}.mp4")
voice_info = self._normalize_video(voice_video, voice_normalized)
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(bg_video, bg_normalized)
final_duration = min(voice_info["duration"], bg_info["duration"])
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-i",
voice_normalized,
"-t",
str(final_duration),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
voice_adjusted,
]
run_ffmpeg(command)
bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
command = [
FFMPEG_BIN,
"-y",
"-i",
bg_normalized,
"-t",
str(final_duration),
"-c:v",
"copy",
bg_adjusted,
]
run_ffmpeg(command)
if audio_path:
command = [
FFMPEG_BIN,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-i",
audio_path,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"2:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
else:
command = [
FFMPEG_BIN,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"1:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
run_ffmpeg(command)
for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def create_processor(mode: str, work_dir: Optional[str] = None, **kwargs) -> EditingModeProcessor:
"""便捷工厂函数:创建剪辑模式处理器"""
try:
editing_mode = EditingMode(mode)
except ValueError:
raise ValueError(f"Invalid editing mode: {mode}. Valid modes: {[m.value for m in EditingMode]}")
config = EditingModeConfig(
mode=editing_mode,
output_width=kwargs.get("output_width", 1280),
output_height=kwargs.get("output_height", 720),
output_fps=kwargs.get("output_fps", 25),
pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
pip_scale=kwargs.get("pip_scale", 0.25),
transition_duration=kwargs.get("transition_duration", 0.5),
)
return EditingModeProcessor(config=config, work_dir=work_dir)
+85 -13
View File
@@ -1,8 +1,7 @@
"""FFmpeg 工具函数 — 从 editing_modes.py / video_compose_service.py 提取的共享原语.
"""FFmpeg 工具函数 — 共享原语.
提供 FFmpeg / FFprobe 调用、视频信息探测、视频标准化、xfade 转场滤镜构建
等底层能力,供 EditingModeProcessor、VideoComposeService、UnifiedRenderService
共同复用。
等底层能力,供 UnifiedRenderService、VideoComposeService 等复用。
"""
from __future__ import annotations
@@ -32,6 +31,10 @@ XFADE_TRANSITION_MAP: dict[str, str] = {
"slide_left": "slideleft",
"slideright": "slideright",
"slide_right": "slideright",
"slideup": "slideup",
"slide_up": "slideup",
"slidedown": "slidedown",
"slide_down": "slidedown",
"dissolve": "dissolve",
"wipe": "wipeleft",
"wipeleft": "wipeleft",
@@ -39,6 +42,10 @@ XFADE_TRANSITION_MAP: dict[str, str] = {
DEFAULT_TRANSITION_DURATION = 0.5
# FFmpeg 执行默认超时(秒),防止 FFmpeg hang 住导致 worker 永久阻塞
# 默认 30 分钟,足够处理大部分短视频渲染;超长视频可单独传参覆盖
DEFAULT_FFMPEG_TIMEOUT = 1800
# ── FFmpeg 执行 ───────────────────────────────────────────────────────────────
@@ -47,12 +54,14 @@ def run_ffmpeg(
command: list[str],
*,
capture_output: bool = True,
timeout: int | None = DEFAULT_FFMPEG_TIMEOUT,
) -> tuple[str, str]:
"""执行 FFmpeg 命令。
Args:
command: 完整的 ffmpeg 命令列表(含 "ffmpeg" 本身)
capture_output: 是否捕获 stdout/stderr
timeout: 超时时间(秒),默认 1800s(30分钟);None 表示不设超时(不推荐)
Returns:
(stdout, stderr) 元组
@@ -60,6 +69,7 @@ def run_ffmpeg(
Raises:
subprocess.CalledProcessError: 命令执行失败时抛出,
异常信息包含完整 stderr 以便排查。
subprocess.TimeoutExpired: 超时未完成时抛出,FFmpeg 进程会被 kill。
"""
try:
result = subprocess.run( # nosec B603
@@ -68,8 +78,16 @@ def run_ffmpeg(
stdout=subprocess.PIPE if capture_output else None,
stderr=subprocess.PIPE if capture_output else None,
text=True,
timeout=timeout,
)
return (result.stdout or "", result.stderr or "")
except subprocess.TimeoutExpired:
logger.error(
"FFmpeg 命令超时 (%ds): command=%s",
timeout or -1,
" ".join(str(c) for c in command[:20]),
)
raise
except subprocess.CalledProcessError as e:
# 把完整 stderr 打到日志,方便排查 exit code 183 等问题
stderr_text = (e.stderr or "").strip()
@@ -82,6 +100,41 @@ def run_ffmpeg(
raise
def probe_has_audio(local_path: str | Path) -> bool:
"""探测文件是否包含音频流。
Args:
local_path: 本地文件路径
Returns:
True 表示有音频流(或探测失败保守返回),False 表示确认无音频流
"""
try:
result = subprocess.run( # nosec B603
[
FFPROBE_BIN,
"-v",
"error",
"-select_streams",
"a:0",
"-show_entries",
"stream=codec_type",
"-of",
"default=noprint_wrappers=1:nokey=1",
str(local_path),
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=10,
)
return result.stdout.strip() == "audio"
except Exception:
# 探测失败保守返回 True,让 FFmpeg 自己处理(避免误删音频)
return True
def probe_duration(local_path: str | Path) -> float:
"""用 ffprobe 获取视频时长(秒)。
@@ -110,10 +163,14 @@ def probe_duration(local_path: str | Path) -> float:
def probe_video_info(video_path: str) -> dict[str, Any]:
"""获取视频信息(宽、高、时长、fps)。
"""获取视频信息(宽、高、时长、fps、编码、像素格式)。
Returns:
{"width": int, "height": int, "duration": float, "fps": float}
{
"width": int, "height": int, "duration": float, "fps": float,
"video_codec": str, "audio_codec": str, "pix_fmt": str,
"has_audio": bool,
}
失败时返回默认值。
"""
try:
@@ -122,10 +179,8 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
FFPROBE_BIN,
"-v",
"error",
"-select_streams",
"v:0",
"-show_entries",
"stream=width,height,r_frame_rate,duration",
"stream=width,height,r_frame_rate,duration,codec_name,codec_type,pix_fmt",
"-show_entries",
"format=duration",
"-of",
@@ -136,19 +191,25 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=15,
)
import json
info = json.loads(result.stdout)
stream = info.get("streams", [{}])[0]
streams = info.get("streams", [])
fmt = info.get("format", {})
width = int(stream.get("width", DEFAULT_OUTPUT_WIDTH))
height = int(stream.get("height", DEFAULT_OUTPUT_HEIGHT))
video_stream = next((s for s in streams if s.get("codec_type") == "video"), {})
audio_stream = next((s for s in streams if s.get("codec_type") == "audio"), {})
width = int(video_stream.get("width", DEFAULT_OUTPUT_WIDTH))
height = int(video_stream.get("height", DEFAULT_OUTPUT_HEIGHT))
video_codec = video_stream.get("codec_name", "") or ""
pix_fmt = video_stream.get("pix_fmt", "") or ""
# 解析帧率
fps_str = stream.get("r_frame_rate", "25/1")
fps_str = video_stream.get("r_frame_rate", "25/1")
if "/" in fps_str:
num, den = fps_str.split("/")
fps = float(num) / float(den) if float(den) > 0 else DEFAULT_FPS
@@ -156,13 +217,20 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
fps = float(fps_str) if fps_str else DEFAULT_FPS
# 时长
duration = float(fmt.get("duration", 0)) or float(stream.get("duration", 0))
duration = float(fmt.get("duration", 0)) or float(video_stream.get("duration", 0))
has_audio = bool(audio_stream)
audio_codec = audio_stream.get("codec_name", "") or ""
return {
"width": width,
"height": height,
"duration": duration,
"fps": round(fps, 2),
"video_codec": video_codec,
"audio_codec": audio_codec,
"pix_fmt": pix_fmt,
"has_audio": has_audio,
}
except Exception as e:
logger.warning("获取视频信息失败: %s, error: %s", video_path, e)
@@ -171,6 +239,10 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
"height": DEFAULT_OUTPUT_HEIGHT,
"duration": 0.0,
"fps": DEFAULT_FPS,
"video_codec": "",
"audio_codec": "",
"pix_fmt": "",
"has_audio": True,
}
+82 -11
View File
@@ -9,14 +9,21 @@ from __future__ import annotations
import hashlib
import logging
import os
import threading
from pathlib import Path
from typing import Optional
from urllib.parse import urlparse
import oss2
logger = logging.getLogger(__name__)
# OSS 上传配置
OSS_CONNECT_TIMEOUT = 10 # 连接超时(秒),防止 TCP 握手挂死
OSS_UPLOAD_TOTAL_TIMEOUT = 300 # 单文件上传总超时(秒),防止网络慢时无限卡住
OSS_MULTIPART_THRESHOLD = 100 * 1024 * 1024 # 分片上传阈值:100MB 以上走分片
OSS_PART_SIZE = 8 * 1024 * 1024 # 分片大小:8MB
OSS_MULTIPART_NUM_THREADS = 3 # 分片上传并发数
# ── OSS 配置 ──────────────────────────────────────────────────────────────────
@@ -43,6 +50,9 @@ def oss_bucket() -> oss2.Bucket | None:
P0-2 修复:endpoint 不带 scheme 时自动补 https:// 前缀,
确保 sign_url 等依赖 scheme 的方法返回 HTTPS URL。
P0-staging 修复:增加 connect_timeout=10s,防止网络抖动时
TCP 握手阶段无限挂死,导致 worker 进程卡死。
Returns:
oss2.Bucket 实例,配置缺失时返回 None。
"""
@@ -53,7 +63,12 @@ def oss_bucket() -> oss2.Bucket | None:
# endpoint 无 scheme 时补 https://,与 API 端 storage.py 保持一致
if not endpoint.startswith(("http://", "https://")):
endpoint = f"https://{endpoint}"
return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
return oss2.Bucket(
oss2.Auth(access_key_id, access_key_secret),
endpoint,
bucket_name,
connect_timeout=OSS_CONNECT_TIMEOUT,
)
def normalize_storage_key(storage_key_or_url: str) -> str:
@@ -96,6 +111,9 @@ def download_asset(asset_storage_key: str, local_path: Path) -> bool:
def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
"""上传文件到 OSS,返回公开 URL。
大文件(>100MB)自动走分片上传,降低内存峰值,减少 OOM 风险。
上传加总超时保护(默认 300s),防止网络异常时无限挂死。
Args:
local_path: 本地文件路径
storage_key: 目标存储键
@@ -106,18 +124,71 @@ def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
bucket = oss_bucket()
if bucket is None:
return None
try:
bucket.put_object_from_file(storage_key, str(local_path))
settings = oss_settings()
if settings:
_, _, endpoint, bucket_name = settings
endpoint_clean = endpoint.replace("https://", "").replace("http://", "")
return f"https://{bucket_name}.{endpoint_clean}/{storage_key}"
result: dict = {"url": None, "error": None, "file_size": 0}
done = threading.Event()
def _do_upload():
try:
# 尝试获取文件大小,用于分片判断和日志;stat 失败时 fallback 走普通上传
try:
file_size = local_path.stat().st_size
result["file_size"] = file_size
use_multipart = file_size >= OSS_MULTIPART_THRESHOLD
except OSError:
use_multipart = False
file_size = 0
if use_multipart:
# 分片上传:降低内存峰值,每片 8MB,3 线程并发
logger.info(
"大文件分片上传: storage_key=%s, size=%.1fMB, part_size=%dMB, threads=%d",
storage_key[:80],
file_size / 1024 / 1024,
OSS_PART_SIZE // 1024 // 1024,
OSS_MULTIPART_NUM_THREADS,
)
oss2.resumable_upload(
bucket,
storage_key,
str(local_path),
multipart_threshold=OSS_MULTIPART_THRESHOLD,
part_size=OSS_PART_SIZE,
num_threads=OSS_MULTIPART_NUM_THREADS,
)
else:
bucket.put_object_from_file(storage_key, str(local_path))
# 构造返回 URL
settings = oss_settings()
if settings:
_, _, endpoint, bucket_name = settings
endpoint_clean = endpoint.replace("https://", "").replace("http://", "")
result["url"] = f"https://{bucket_name}.{endpoint_clean}/{storage_key}"
except Exception as e:
result["error"] = e
logger.exception("上传 OSS 失败: %s", storage_key)
finally:
done.set()
upload_thread = threading.Thread(target=_do_upload, daemon=True)
upload_thread.start()
finished = done.wait(timeout=OSS_UPLOAD_TOTAL_TIMEOUT)
if not finished:
logger.error(
"OSS 上传超时(%.0fs),强制中止: storage_key=%s, size=%.1fMB",
OSS_UPLOAD_TOTAL_TIMEOUT,
storage_key[:80],
result["file_size"] / 1024 / 1024 if result["file_size"] else 0,
)
return None
except Exception:
logger.exception("上传 OSS 失败: %s", storage_key)
if result["error"]:
return None
return result["url"]
def get_signed_download_url(storage_key_or_url: str, expires_seconds: int = 3600) -> str | None:
"""生成预签名下载 URL(用于私有 bucket 的 URL 校验或临时下载)。
@@ -5,7 +5,6 @@
import os
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import List
import ffmpeg
+299
View File
@@ -0,0 +1,299 @@
"""统一渲染引擎适配层 — Phase 2.
将 EditPlan + EditPlanClips(来自 DB)适配为 UnifiedRenderService 的输入格式,
封装素材下载、渲染执行、结果上传的完整流程。
职责:
1. 从 DB 读取 EditPlan + EditPlanClips
2. 下载素材到本地,构建 asset_path_map
3. 调用 UnifiedRenderService 执行渲染
4. 上传渲染结果到 OSS
5. 支持进度回调(对接 JobService)
"""
from __future__ import annotations
import logging
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Callable
from sqlalchemy.orm import Session
from video_processing.oss_helpers import download_asset, upload_to_oss
from video_processing.unified_render_service import UnifiedRenderService
from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import SQLAlchemyEditPlanClipRepository
from packages.adapters.sqlalchemy_impl.edit_plan_repository import SQLAlchemyEditPlanRepository
from packages.domain.edit_plan import EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
logger = logging.getLogger(__name__)
# ── 数据结构 ──────────────────────────────────────────────────────────────────
@dataclass
class RenderAdapterResult:
"""渲染适配结果。"""
success: bool
output_url: str = ""
output_path: Path | None = None
duration: float = 0.0
file_size: int = 0
width: int = 0
height: int = 0
clip_count: int = 0
error_message: str = ""
ProgressCallback = Callable[[float, str], None]
"""进度回调:(progress_0_100, stage_description) → None"""
# ── 适配层主体 ────────────────────────────────────────────────────────────────
class RenderAdapter:
"""统一渲染引擎适配层。
桥接 EditPlan 领域模型与 UnifiedRenderService 图层模型。
用法::
adapter = RenderAdapter(db)
result = adapter.render_plan(
plan_id=plan_id,
job_id=job_id,
progress_cb=lambda p, s: job_service.update_progress(job_id, p, s),
)
"""
def __init__(self, db: Session) -> None:
self._db = db
self._plan_repo = SQLAlchemyEditPlanRepository(db)
self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
# ── 公开方法 ──────────────────────────────────────────────────────────
def render_plan(
self,
plan_id: str,
*,
job_id: str = "",
work_dir: Path | None = None,
progress_cb: ProgressCallback | None = None,
) -> RenderAdapterResult:
"""渲染一个 EditPlan。
完整流程:
1. 加载计划与片段
2. 下载素材
3. 执行统一渲染
4. 上传结果
Args:
plan_id: EditPlan ID
job_id: 关联的 Job ID(用于结果存储路径)
work_dir: 工作目录,不传则使用临时目录
progress_cb: 进度回调函数
Returns:
RenderAdapterResult
"""
temp_dir = None
try:
# 0. 准备工作目录
if work_dir is None:
temp_dir = tempfile.mkdtemp(prefix="render_")
work_dir = Path(temp_dir)
work_dir.mkdir(parents=True, exist_ok=True)
self._report_progress(progress_cb, 5.0, "加载剪辑计划")
# 1. 加载计划与片段
plan = self._plan_repo.get(plan_id)
if plan is None:
return RenderAdapterResult(
success=False,
error_message=f"剪辑计划不存在: {plan_id}",
)
clips = self._clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
ready_clips = [c for c in clips if c.status == EditPlanClipStatus.READY and c.asset_id]
ready_clips.sort(key=lambda c: c.order)
if not ready_clips:
return RenderAdapterResult(
success=False,
error_message="没有可渲染的就绪片段",
clip_count=0,
)
logger.info(
"开始渲染: plan_id=%s job_id=%s ready_clips=%d engine=unified",
plan_id,
job_id,
len(ready_clips),
)
self._report_progress(progress_cb, 15.0, f"下载素材({len(ready_clips)} 个)")
# 2. 下载素材
asset_path_map = self._download_assets(ready_clips, work_dir)
if not asset_path_map:
return RenderAdapterResult(
success=False,
error_message="所有素材下载失败",
clip_count=len(ready_clips),
)
self._report_progress(progress_cb, 40.0, "执行视频渲染")
# 3. 执行统一渲染
render_svc = UnifiedRenderService(
plan=plan,
clips=ready_clips,
asset_path_map=asset_path_map,
work_dir=work_dir,
)
result = render_svc.render()
self._report_progress(progress_cb, 80.0, "上传渲染结果")
# 4. 上传结果
storage_key = f"rendered/{plan_id}/{job_id or plan_id}.mp4"
output_url = upload_to_oss(result.output_path, storage_key)
self._report_progress(progress_cb, 100.0, "渲染完成")
logger.info(
"[render-adapter] render success: plan_id=%s job_id=%s engine=unified "
"duration=%.2fs file_size=%d resolution=%dx%d clip_count=%d",
plan_id,
job_id,
result.duration,
result.file_size,
result.width,
result.height,
len(ready_clips),
)
return RenderAdapterResult(
success=True,
output_url=output_url or "",
output_path=result.output_path,
duration=result.duration,
file_size=result.file_size,
width=result.width,
height=result.height,
clip_count=len(ready_clips),
)
except Exception as exc:
logger.exception(
"[render-adapter] render failed: plan_id=%s job_id=%s engine=unified error=%s",
plan_id,
job_id,
str(exc)[:200],
)
return RenderAdapterResult(
success=False,
error_message=str(exc)[:500],
)
finally:
# 清理临时目录
if temp_dir:
import shutil
try:
shutil.rmtree(temp_dir, ignore_errors=True)
except Exception:
pass
def validate_plan(self, plan_id: str) -> tuple[bool, list[str], list[str], int, int]:
"""校验计划是否可渲染(兼容 VideoComposeService.validate_compose 接口)。
Returns:
(valid, errors, warnings, ready_clip_count, total_clip_count)
"""
errors: list[str] = []
warnings: list[str] = []
plan = self._plan_repo.get(plan_id)
if plan is None:
return False, [f"剪辑计划不存在: {plan_id}"], [], 0, 0
if plan.status not in (EditPlanStatus.EDITING, EditPlanStatus.RENDERING):
errors.append(f"计划状态不正确,需要 editing 或 rendering,当前: {plan.status}")
clips = self._clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
if not clips:
errors.append("计划没有任何片段")
return False, errors, warnings, 0, 0
clips.sort(key=lambda c: c.order)
ready_count = 0
pending_count = 0
no_asset_count = 0
for clip in clips:
if clip.status == EditPlanClipStatus.READY:
ready_count += 1
if not clip.asset_id:
errors.append(f"片段 {clip.id} (order={clip.order}) 没有分配素材")
no_asset_count += 1
elif clip.status == EditPlanClipStatus.PENDING:
pending_count += 1
elif clip.status == EditPlanClipStatus.FAILED:
warnings.append(f"片段 {clip.id} (order={clip.order}) 状态为 failed,已跳过")
if ready_count == 0:
errors.append("没有就绪(ready)的片段可以合成")
if pending_count > 0:
warnings.append(f"{pending_count} 个片段仍处于 pending 状态")
return len(errors) == 0, errors, warnings, ready_count, len(clips)
# ── 内部方法 ──────────────────────────────────────────────────────────
@staticmethod
def _report_progress(progress_cb: ProgressCallback | None, progress: float, stage: str) -> None:
"""上报进度。"""
if progress_cb is not None:
try:
progress_cb(progress, stage)
except Exception:
logger.exception("进度回调失败")
@staticmethod
def _download_assets(clips: list[EditPlanClip], work_dir: Path) -> dict[str, Path]:
"""下载片段素材到本地,返回 asset_id → local_path 映射。
只保留下载成功的素材。
"""
asset_dir = work_dir / "assets"
asset_dir.mkdir(exist_ok=True)
asset_path_map: dict[str, Path] = {}
for clip in clips:
asset_id = clip.asset_id
if not asset_id:
continue
# 生成安全的本地文件名
safe_name = f"clip_{clip.order:04d}_{abs(hash(asset_id)) % 100000:05d}.mp4"
local_path = asset_dir / safe_name
if download_asset(asset_id, local_path):
asset_path_map[asset_id] = local_path
logger.debug("素材下载成功: clip_id=%s asset_id=%s", clip.id, asset_id[:60])
else:
logger.warning("素材下载失败: clip_id=%s asset_id=%s", clip.id, asset_id[:60])
return asset_path_map
+204
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@@ -0,0 +1,204 @@
"""渲染引擎 Feature Flag 解析器。
封装渲染引擎选择逻辑,支持:
- 环境变量作为默认值(RENDER_ENGINE=legacy/unified
- Redis Feature Flag 运行时覆盖(白名单 + 百分比 + 全局开关)
- 定时刷新,支持热更新不重启 worker
使用方式:
resolver = RenderEngineResolver(redis_url="redis://...", default_engine="legacy")
engine = resolver.get_engine(user_id="user123")
# engine: "legacy""unified"
"""
from __future__ import annotations
import logging
import threading
from typing import Optional
from packages.adapters.redis.feature_flag_store import (
FeatureFlagConfig,
FeatureFlagStore,
InMemoryFeatureFlagStore,
RedisFeatureFlagStore,
)
logger = logging.getLogger(__name__)
# Feature Flag 名称常量
FLAG_RENDER_ENGINE = "render_engine"
# 引擎常量
ENGINE_LEGACY = "legacy"
ENGINE_UNIFIED = "unified"
VALID_ENGINES = {ENGINE_LEGACY, ENGINE_UNIFIED}
class RenderEngineResolver:
"""渲染引擎选择器。
判定逻辑(从高到低):
1. Redis flag 白名单匹配 → unified
2. Redis flag 百分比命中 → unified
3. Redis flag 全局开启(100%)→ unified
4. 环境变量默认值 → legacy / unified
当 Redis 不可用时,自动降级到环境变量默认值,不影响业务。
"""
def __init__(
self,
default_engine: str = ENGINE_LEGACY,
redis_url: Optional[str] = None,
refresh_interval: float = 30.0,
store: Optional[FeatureFlagStore] = None,
) -> None:
"""
Args:
default_engine: 环境变量默认的引擎名(legacy / unified
redis_url: Redis 连接 URL,传 None 时使用内存实现(测试用)
refresh_interval: Redis flag 配置刷新间隔(秒)
store: 直接传入 store 实例(测试用,优先级高于 redis_url)
"""
self._default_engine = default_engine.lower() if default_engine else ENGINE_LEGACY
if self._default_engine not in VALID_ENGINES:
logger.warning(
"Invalid default engine '%s', fallback to '%s'",
self._default_engine,
ENGINE_LEGACY,
)
self._default_engine = ENGINE_LEGACY
if store is not None:
self._store = store
elif redis_url:
self._store = RedisFeatureFlagStore(redis_url=redis_url)
else:
self._store = InMemoryFeatureFlagStore()
logger.info("No Redis configured, using in-memory feature flag store")
self._refresh_interval = refresh_interval
self._lock = threading.Lock()
self._cached_config: Optional[FeatureFlagConfig] = None
self._last_refresh: float = 0.0
def _maybe_refresh(self) -> None:
"""惰性刷新配置,超过刷新间隔时从存储重新读取。"""
import time
now = time.time()
if now - self._last_refresh < self._refresh_interval:
return
try:
config = self._store.get(FLAG_RENDER_ENGINE)
with self._lock:
self._cached_config = config
self._last_refresh = now
except Exception as exc:
logger.warning("Failed to refresh render engine flag: %s", exc)
# 刷新失败时保留旧缓存,不中断业务
if self._cached_config is None:
# 首次就读失败,设一个默认值
with self._lock:
self._cached_config = FeatureFlagConfig(name=FLAG_RENDER_ENGINE)
self._last_refresh = now
def _get_config(self) -> FeatureFlagConfig:
"""获取当前 flag 配置(带缓存)。"""
if self._cached_config is None:
self._maybe_refresh()
else:
self._maybe_refresh()
return self._cached_config or FeatureFlagConfig(name=FLAG_RENDER_ENGINE)
def get_engine(self, user_id: Optional[str] = None) -> str:
"""获取当前应该使用的渲染引擎。
Args:
user_id: 用户ID,用于白名单匹配和百分比哈希。
传 None 时只看全局开关。
Returns:
"legacy""unified"
"""
config = self._get_config()
# 全局关闭 → 用默认值
if not config.enabled:
return self._default_engine
# 白名单匹配 / 百分比命中 → unified
if config.is_active(user_id):
return ENGINE_UNIFIED
# 未命中灰度 → 用默认值
return self._default_engine
def should_use_unified(self, user_id: Optional[str] = None) -> bool:
"""便捷方法:是否应该使用统一渲染引擎。"""
return self.get_engine(user_id) == ENGINE_UNIFIED
def force_refresh(self) -> None:
"""强制立即刷新配置(用于管理接口修改后立即生效)。"""
self._last_refresh = 0.0
if isinstance(self._store, RedisFeatureFlagStore):
self._store.invalidate_cache(FLAG_RENDER_ENGINE)
self._maybe_refresh()
def get_config_snapshot(self) -> dict:
"""获取当前配置快照(用于管理接口展示)。"""
config = self._get_config()
return {
"flag_name": FLAG_RENDER_ENGINE,
"default_engine": self._default_engine,
"enabled": config.enabled,
"percentage": config.percentage,
"whitelist": sorted(config.whitelist),
"refresh_interval": self._refresh_interval,
"last_refresh": self._last_refresh,
}
def set_flag(self, config: FeatureFlagConfig) -> None:
"""设置 flag 配置(管理接口用)。"""
config.name = FLAG_RENDER_ENGINE
self._store.set(config)
self.force_refresh()
# 全局单例
_resolver: Optional[RenderEngineResolver] = None
_resolver_lock = threading.Lock()
def get_render_engine_resolver() -> RenderEngineResolver:
"""获取全局单例(基于 worker 配置)。"""
global _resolver
if _resolver is not None:
return _resolver
with _resolver_lock:
if _resolver is not None:
return _resolver
try:
from worker_app.core.config import get_settings
settings = get_settings()
redis_url = getattr(settings, "redis_url", None) or getattr(settings, "broker_url", None)
default = getattr(settings, "render_engine", ENGINE_LEGACY)
_resolver = RenderEngineResolver(
default_engine=default,
redis_url=redis_url,
)
logger.info(
"RenderEngineResolver initialized: default=%s, redis=%s",
default,
bool(redis_url),
)
except Exception as exc:
logger.warning("Failed to init RenderEngineResolver from settings: %s", exc)
_resolver = RenderEngineResolver(default_engine=ENGINE_LEGACY)
return _resolver
File diff suppressed because it is too large Load Diff
@@ -1,821 +0,0 @@
"""
视频合成服务
支持多种剪辑模式和转场效果,包含完整的安全校验
"""
import logging
import os
import subprocess
import tempfile
from dataclasses import dataclass
from enum import Enum
try:
from enum import StrEnum
except ImportError:
class StrEnum(str, Enum): # type: ignore[no-redef]
"""Python 3.10 兼容的 StrEnum 回退实现。"""
pass
from pathlib import Path
from typing import Optional
from packages.domain.editing_mode import EditingMode
logger = logging.getLogger(__name__)
# ========== 安全常量 ==========
# 允许的输出目录白名单(使用环境变量或系统临时目录,避免硬编码 /tmp)
_VIDEO_OUTPUT_DIR = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
ALLOWED_OUTPUT_DIRS = [_VIDEO_OUTPUT_DIR, "/var/app/rendered"]
# 允许的输入路径前缀白名单
ALLOWED_INPUT_PREFIXES = ("s3://", "oss://", "local://", "/var/storage/")
# 允许的转场效果白名单
ALLOWED_TRANSITIONS = {
"fade",
"slideleft",
"slideright",
"dissolve",
"wipeleft",
"wiperight",
"cut",
"slideup",
"slidedown",
}
# 转场效果映射
_XFADE_TRANSITION_MAP = {
"fade": "fade",
"slideleft": "slideleft",
"slideright": "slideright",
"dissolve": "dissolve",
"wipeleft": "wipeleft",
"wiperight": "wiperight",
"cut": "cut",
"slideup": "slideup",
"slidedown": "slidedown",
}
class VideoComposeError(Exception):
"""视频合成服务异常"""
pass
class PIPPosition(StrEnum):
"""画中画位置枚举"""
TOP_LEFT = "top_left"
TOP_RIGHT = "top_right"
BOTTOM_LEFT = "bottom_left"
BOTTOM_RIGHT = "bottom_right"
@dataclass
class Clip:
"""视频片段"""
asset_id: str # 资源ID,对应输入路径
start_time: float = 0.0
duration: float = 0.0
transition: str = "fade" # 转场效果
@dataclass
class EditingModeConfig:
"""剪辑模式配置"""
mode: EditingMode
output_width: int = 1280
output_height: int = 720
output_fps: int = 25
pip_position: PIPPosition = PIPPosition.TOP_RIGHT
pip_scale: float = 0.25 # 画中画占主画面的比例
transition_duration: float = 0.5 # 转场时长(秒)
output_codec: str = "libx264"
output_preset: str = "medium"
output_crf: int = 23
class VideoComposeService:
"""视频合成服务"""
def __init__(self, config: EditingModeConfig, work_dir: Optional[str] = None):
"""
初始化视频合成服务
Args:
config: 剪辑模式配置
work_dir: 工作目录,默认使用系统临时目录
"""
self.config = config
self.work_dir = work_dir or tempfile.gettempdir()
self._ffmpeg_bin = "ffmpeg"
self._ffprobe_bin = "ffprobe"
def _validate_output_path(self, path: str) -> str:
"""
校验输出路径是否在允许范围内 (P0 修复)
防止路径穿越攻击,如 /app/config/../../../etc/passwd
Args:
path: 用户提供的输出路径
Returns:
标准化后的绝对路径
Raises:
ValueError: 路径不在允许范围内
"""
abs_path = os.path.abspath(path)
for allowed_dir in ALLOWED_OUTPUT_DIRS:
allowed_abs = os.path.abspath(allowed_dir)
if abs_path.startswith(allowed_abs):
return abs_path
raise ValueError(f"输出路径不在允许范围内: {path}")
def _validate_input_path(self, path: str) -> bool:
"""
校验输入路径格式是否合法 (P1-1 修复)
Args:
path: 输入文件路径
Returns:
是否合法
"""
return any(path.startswith(prefix) for prefix in ALLOWED_INPUT_PREFIXES)
def _validate_transition(self, transition: str) -> str:
"""
校验转场效果是否在白名单内 (P1-2 修复)
Args:
transition: 转场效果名称
Returns:
安全的转场效果名称
"""
if transition not in ALLOWED_TRANSITIONS:
logger.warning(f"未知的转场效果 '{transition}',使用默认 'fade'")
return "fade"
return transition
def _get_validated_transition(self, transition: str) -> str:
"""获取白名单校验后的转场效果名称"""
return _XFADE_TRANSITION_MAP.get(self._validate_transition(transition), "fade")
def compose(self, clips: list[Clip], output_path: Optional[str] = None) -> str:
"""
合成视频
Args:
clips: 视频片段列表,每个片段包含 asset_id 和转场配置
output_path: 输出文件路径
Returns:
输出文件路径
"""
if not clips:
raise ValueError("clips 不能为空")
# P1-1: 校验所有输入路径
for clip in clips:
if not self._validate_input_path(clip.asset_id):
raise ValueError(f"不合法的输入路径: {clip.asset_id}")
# 生成默认输出路径并校验
if output_path is None:
output_path = self._generate_output_path()
# P0: 校验输出路径
validated_output = self._validate_output_path(output_path)
logger.info(f"合成视频,片段数: {len(clips)}, 输出: {validated_output}")
# 获取输入路径列表
input_paths = [clip.asset_id for clip in clips]
try:
if self.config.mode == EditingMode.ONE_TAKE:
return self._one_take(input_paths, validated_output, clips)
elif self.config.mode == EditingMode.PIP:
return self._pip(input_paths, validated_output)
elif self.config.mode == EditingMode.VOICE_OVER:
return self._voice_over(input_paths, validated_output)
elif self.config.mode == EditingMode.VOICE_PIP:
return self._voice_pip(input_paths, validated_output)
else:
raise ValueError(f"不支持的剪辑模式: {self.config.mode}")
except Exception as e:
logger.error(f"视频合成失败: {e}")
raise VideoComposeError(f"视频合成失败: {e}") from e
def _generate_output_path(self) -> str:
"""生成输出文件路径"""
os.makedirs(self.work_dir, exist_ok=True)
return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
def _validate_inputs(self, video_paths: list[str], audio_path: Optional[str] = None) -> None:
"""验证输入文件存在"""
for path in video_paths:
if not os.path.exists(path):
raise FileNotFoundError(f"视频文件不存在: {path}")
if not os.path.getsize(path) > 0:
raise ValueError(f"视频文件为空: {path}")
if audio_path and not os.path.exists(audio_path):
raise FileNotFoundError(f"音频文件不存在: {audio_path}")
def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
"""执行 FFmpeg 命令"""
logger.debug(f"Running FFmpeg: {' '.join(command)}")
try:
result = subprocess.run(
command,
check=True,
stdout=subprocess.PIPE if capture_output else None,
stderr=subprocess.PIPE if capture_output else None,
text=capture_output,
)
return result.stdout or "", result.stderr or ""
except subprocess.CalledProcessError as e:
stderr = e.stderr.decode() if e.stderr else str(e)
logger.error(f"FFmpeg error: {stderr}")
raise RuntimeError(f"FFmpeg 执行失败: {stderr}") from e
def _get_video_info(self, video_path: str) -> dict:
"""获取视频信息"""
try:
result = subprocess.run(
[
self._ffprobe_bin,
"-v",
"error",
"-show_entries",
"stream=width,height,r_frame_rate,duration,codec_name",
"-show_entries",
"format=duration,size",
"-of",
"json",
video_path,
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
import json
data = json.loads(result.stdout)
streams = data.get("streams", [{}])
video_stream = next((s for s in streams if s.get("codec_type") == "video"), streams[0] if streams else {})
fmt = data.get("format", {})
fps_str = video_stream.get("r_frame_rate", "25/1")
fps_parts = fps_str.split("/")
fps = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
return {
"width": int(video_stream.get("width", 0)),
"height": int(video_stream.get("height", 0)),
"fps": fps,
"duration": float(fmt.get("duration", 0)),
"codec": video_stream.get("codec_name", "unknown"),
"size": int(fmt.get("size", 0)),
}
except Exception as e:
logger.warning(f"获取视频信息失败 {video_path}: {e}")
return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
def _get_pip_position_offset(
self, main_width: int, main_height: int, pip_width: int, pip_height: int
) -> tuple[int, int]:
"""获取画中画位置偏移量"""
margin = 10
position_offsets = {
PIPPosition.TOP_LEFT: (margin, margin),
PIPPosition.TOP_RIGHT: (main_width - pip_width - margin, margin),
PIPPosition.BOTTOM_LEFT: (margin, main_height - pip_height - margin),
PIPPosition.BOTTOM_RIGHT: (main_width - pip_width - margin, main_height - pip_height - margin),
}
return position_offsets.get(self.config.pip_position, position_offsets[PIPPosition.TOP_RIGHT])
def _normalize_video(self, input_path: str, output_path: str) -> dict:
"""标准化视频格式"""
command = [
self._ffmpeg_bin,
"-y",
"-i",
input_path,
"-r",
str(self.config.output_fps),
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}:force_original_aspect_ratio=decrease,pad={self.config.output_width}:{self.config.output_height}:(ow-iw)/2:(oh-ih)/2,setsar=1",
"-r",
str(self.config.output_fps),
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-movflags",
"+faststart",
"-an",
output_path,
]
self._run_ffmpeg(command)
return self._get_video_info(output_path)
def _one_take(self, video_paths: list[str], output_path: str, clips: list[Clip]) -> str:
"""一镜到底模式"""
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
normalized_paths = []
for i, path in enumerate(video_paths):
normalized = os.path.join(self.work_dir, f"normalized_{i}_{os.getpid()}.mp4")
self._normalize_video(path, normalized)
normalized_paths.append(normalized)
durations = [self._get_video_info(p)["duration"] for p in normalized_paths]
if len(normalized_paths) <= 5:
output_path = self._one_take_with_xfade(normalized_paths, durations, output_path, clips)
else:
output_path = self._one_take_simple_concat(normalized_paths, output_path)
for p in normalized_paths:
try:
if p != output_path:
os.remove(p)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _one_take_with_xfade(
self, normalized_paths: list[str], durations: list[float], output_path: str, clips: list[Clip]
) -> str:
"""使用 xfade 滤镜实现转场 (P1-2: 转场参数白名单校验)"""
if len(normalized_paths) == 2:
# 获取当前片段的转场效果并校验白名单
transition = "fade"
if len(clips) > 1:
transition = self._get_validated_transition(clips[1].transition)
trans_duration = self.config.transition_duration
offset1 = durations[0] - trans_duration / 2
command = [
self._ffmpeg_bin,
"-y",
"-i",
normalized_paths[0],
"-i",
normalized_paths[1],
"-filter_complex",
f"[0:v][1:v]xfade=transition={transition}:duration={trans_duration}:offset={offset1}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
return output_path
else:
return self._one_take_simple_concat(normalized_paths, output_path)
def _one_take_simple_concat(self, normalized_paths: list[str], output_path: str) -> str:
"""使用 concat demuxer 简单拼接"""
concat_file = os.path.join(self.work_dir, f"concat_list_{os.getpid()}.txt")
with open(concat_file, "w") as f:
for path in normalized_paths:
f.write(f"file '{os.path.abspath(path)}'\n")
command = [
self._ffmpeg_bin,
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
concat_file,
"-c",
"copy",
output_path,
]
self._run_ffmpeg(command)
try:
os.remove(concat_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _pip(self, video_paths: list[str], output_path: str) -> str:
"""画中画模式"""
if not video_paths:
raise ValueError("No video paths provided")
main_video = video_paths[0]
main_normalized = os.path.join(self.work_dir, f"main_{os.getpid()}.mp4")
main_info = self._normalize_video(main_video, main_normalized)
if len(video_paths) == 1:
os.rename(main_normalized, output_path)
return output_path
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
pip_normalized = os.path.join(self.work_dir, f"pip_{os.getpid()}.mp4")
pip_info = self._get_video_info(video_paths[1])
if pip_info["duration"] > main_info["duration"]:
temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
video_paths[1],
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
temp_pip,
]
self._run_ffmpeg(command)
pip_normalized_input = temp_pip
else:
command = [
self._ffmpeg_bin,
"-y",
"-i",
video_paths[1],
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
pip_normalized,
]
self._run_ffmpeg(command)
pip_normalized_input = pip_normalized
if main_info["duration"] > pip_info["duration"]:
looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-stream_loop",
"-1",
"-i",
pip_normalized_input,
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_pip,
]
self._run_ffmpeg(command)
pip_normalized_input = looped_pip
command = [
self._ffmpeg_bin,
"-y",
"-i",
main_normalized,
"-i",
pip_normalized_input,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [main_normalized, pip_normalized]:
if temp_file and temp_file != output_path:
try:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _voice_over(self, video_paths: list[str], audio_path: str, output_path: str) -> str:
"""口播模式"""
if not audio_path:
raise ValueError("audio_path is required for VOICE_OVER mode")
if not video_paths:
raise ValueError("No background video provided")
audio_info = self._get_video_info(audio_path)
audio_duration = audio_info["duration"]
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(video_paths[0], bg_normalized)
if bg_info["duration"] < audio_duration:
looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-stream_loop",
"-1",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_bg,
]
self._run_ffmpeg(command)
bg_normalized = looped_bg
elif bg_info["duration"] > audio_duration:
temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-c:v",
"copy",
temp_bg,
]
self._run_ffmpeg(command)
bg_normalized = temp_bg
blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-vf",
f"boxblur=5:5,scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
blurred_bg,
]
self._run_ffmpeg(command)
command = [
self._ffmpeg_bin,
"-y",
"-i",
blurred_bg,
"-i",
audio_path,
"-filter_complex",
"[0:v]drawbox=x=0:y=0:w=iw:h=ih:color=black@0.3:t=fill[v]",
"-map",
"[v]",
"-map",
"1:a",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-shortest",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [bg_normalized, blurred_bg]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _voice_pip(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
"""口播+画中画模式"""
if not video_paths:
raise ValueError("No video paths provided")
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
voice_video = video_paths[0]
bg_video = video_paths[1] if len(video_paths) > 1 else video_paths[0]
voice_normalized = os.path.join(self.work_dir, f"voice_{os.getpid()}.mp4")
voice_info = self._normalize_video(voice_video, voice_normalized)
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(bg_video, bg_normalized)
final_duration = min(voice_info["duration"], bg_info["duration"])
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
voice_normalized,
"-t",
str(final_duration),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
voice_adjusted,
]
self._run_ffmpeg(command)
bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-t",
str(final_duration),
"-c:v",
"copy",
bg_adjusted,
]
self._run_ffmpeg(command)
if audio_path:
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-i",
audio_path,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"2:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
else:
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"1:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def create_compose_service(mode: str, work_dir: Optional[str] = None, **kwargs) -> VideoComposeService:
"""便捷工厂函数:创建视频合成服务"""
try:
editing_mode = EditingMode(mode)
except ValueError:
raise ValueError(f"无效的剪辑模式: {mode}. 有效模式: {[m.value for m in EditingMode]}")
config = EditingModeConfig(
mode=editing_mode,
output_width=kwargs.get("output_width", 1280),
output_height=kwargs.get("output_height", 720),
output_fps=kwargs.get("output_fps", 25),
pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
pip_scale=kwargs.get("pip_scale", 0.25),
transition_duration=kwargs.get("transition_duration", 0.5),
)
return VideoComposeService(config=config, work_dir=work_dir)
+4
View File
@@ -17,6 +17,10 @@ class WorkerSettings(BaseSettings):
database_pool_recycle: int = 3600
environment: str = "development"
auto_create_schema: bool = False
redis_url: str = "redis://redis:6379/0"
# 渲染引擎选择:legacy=旧VideoComposeServiceunified=新UnifiedRenderService
render_engine: str = "legacy"
model_config = SettingsConfigDict(
env_file=".env",
@@ -10,12 +10,10 @@ from __future__ import annotations
import json
import logging
import math
import os
import subprocess
import tempfile
from dataclasses import dataclass, field
from typing import Any
import numpy as np
from PIL import Image
@@ -1,4 +1,3 @@
from celery import Task
from celery.utils.log import get_task_logger
from worker_app.celery_app import celery_app
@@ -9,7 +8,6 @@ from packages.adapters.sqlalchemy_impl.classification_job_repository import (
SQLAlchemyClassificationJobRepository,
)
from packages.domain import (
ClassificationJob,
ClassificationJobStatus,
ClassificationStatus,
)
+155 -68
View File
@@ -5,12 +5,9 @@
from __future__ import annotations
import logging
import os
import shutil
import subprocess
import tempfile
from datetime import datetime, timezone
from pathlib import Path
from celery.utils.log import get_task_logger
@@ -39,6 +36,10 @@ def _get_job_service():
def compose_video(self, job_id: str, **kwargs):
"""视频合成任务。
根据 RENDER_ENGINE 配置选择渲染引擎:
- legacy: 旧 VideoComposeServicefilter_complex 模式)
- unified: 新 UnifiedRenderService(图层架构)
Args:
job_id: JobService 中的任务 ID
**kwargs: 来自 Job.payload 的额外参数(plan_id, output_path 等)
@@ -56,66 +57,18 @@ def compose_video(self, job_id: str, **kwargs):
job_service.fail_job(job_id, "Missing plan_id in job payload")
return {"status": "error", "message": "Missing plan_id"}
# 标记为 running
job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")
# 判断使用哪个渲染引擎
# 优先级:Redis Feature Flag(白名单 > 百分比) > 环境变量默认
from video_processing.render_engine_resolver import get_render_engine_resolver
# 延迟导入 VideoComposeService
from apps.api.app.services.video_compose_service import VideoComposeService
resolver = get_render_engine_resolver()
user_id = job.created_by_user_id or None
engine = resolver.get_engine(user_id=user_id)
compose_svc = VideoComposeService(db)
# 校验合成条件
job_service.update_progress(job_id, progress=20.0, current_stage="校验合成条件")
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建合成命令
job_service.update_progress(job_id, progress=30.0, current_stage="构建 FFmpeg 命令")
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
compose_cmd = compose_svc.build_compose_command(plan_id, output_path)
# 执行 FFmpeg
job_service.update_progress(job_id, progress=50.0, current_stage="正在执行视频合成")
logger.info("Executing FFmpeg for job %s, plan %s", job_id, plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
job_service.fail_job(job_id, f"FFmpeg 执行失败: {e.stderr[:500]}")
raise
# 上传结果
job_service.update_progress(job_id, progress=80.0, current_stage="上传合成结果")
storage_key = f"rendered/{plan_id}/{job_id}.mp4"
from worker_app.tasks.edit_plan_generation import _upload_to_oss
output_url = _upload_to_oss(Path(output_path), storage_key)
# 更新 Job 状态为完成
result_data = {
"plan_id": plan_id,
"output_path": output_path,
"storage_key": storage_key,
"output_url": output_url or "",
"estimated_duration": compose_cmd.estimated_duration,
"clip_count": len(compose_cmd.clip_chains),
}
job_service.complete_job(job_id, result=result_data)
logger.info("视频合成完成: job_id=%s, plan_id=%s", job_id, plan_id)
return {"status": "completed", "job_id": job_id, "result": result_data}
if engine == "unified":
return _compose_with_unified_engine(self, job_service, job, plan_id, db)
else:
return _compose_with_legacy_engine(self, job_service, job, plan_id, db)
except self.retry_exc as exc:
logger.warning("视频合成重试中: job_id=%s, exc=%s", job_id, exc)
@@ -129,11 +82,145 @@ def compose_video(self, job_id: str, **kwargs):
raise self.retry(exc=exc, countdown=60)
finally:
db.close()
# 清理临时文件
def _compose_with_legacy_engine(task, job_service, job, plan_id: str, db) -> dict:
"""旧引擎渲染路径(VideoComposeService)。"""
job_id = job.id
# 标记为 running
job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")
# 延迟导入 VideoComposeService
from apps.api.app.services.video_compose_service import VideoComposeService
compose_svc = VideoComposeService(db)
# 校验合成条件
job_service.update_progress(job_id, progress=20.0, current_stage="校验合成条件")
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建合成命令
job_service.update_progress(job_id, progress=30.0, current_stage="构建 FFmpeg 命令")
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
compose_cmd = compose_svc.build_compose_command(plan_id, output_path)
# 执行 FFmpeg
job_service.update_progress(job_id, progress=50.0, current_stage="正在执行视频合成")
logger.info("Executing FFmpeg for job %s, plan %s", job_id, plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
job_service.fail_job(job_id, f"FFmpeg 执行失败: {e.stderr[:500]}")
raise
# 上传结果
job_service.update_progress(job_id, progress=80.0, current_stage="上传合成结果")
storage_key = f"rendered/{plan_id}/{job_id}.mp4"
from worker_app.tasks.edit_plan_generation import _upload_to_oss
output_url = _upload_to_oss(Path(output_path), storage_key)
# 更新 Job 状态为完成
result_data = {
"plan_id": plan_id,
"output_path": output_path,
"storage_key": storage_key,
"output_url": output_url or "",
"estimated_duration": compose_cmd.estimated_duration,
"clip_count": len(compose_cmd.clip_chains),
"engine": "legacy",
}
job_service.complete_job(job_id, result=result_data)
logger.info("视频合成完成(legacy): job_id=%s, plan_id=%s", job_id, plan_id)
return {"status": "completed", "job_id": job_id, "result": result_data}
def _compose_with_unified_engine(task, job_service, job, plan_id: str, db) -> dict:
"""新引擎渲染路径(UnifiedRenderService + RenderAdapter)。"""
job_id = job.id
# 标记为 running
job_service.update_progress(job_id, progress=10.0, current_stage="初始化统一渲染引擎")
from video_processing.render_adapter import RenderAdapter
adapter = RenderAdapter(db)
# 校验合成条件
job_service.update_progress(job_id, progress=15.0, current_stage="校验合成条件")
valid, errors, warnings, ready_count, total_count = adapter.validate_plan(plan_id)
if not valid:
error_msg = "; ".join(errors)
job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 进度回调
def progress_cb(progress: float, stage: str) -> None:
try:
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
if Path(output_path).exists():
Path(output_path).unlink()
except Exception as e:
logger.warning(f"Operation failed in apps/worker/worker_app/tasks/compose_video.py: {e}", exc_info=True)
job_service.update_progress(job_id, progress=progress, current_stage=stage)
except Exception:
logger.exception("更新进度失败")
# 执行渲染
job_service.update_progress(job_id, progress=20.0, current_stage="开始渲染")
logger.info("统一渲染引擎开始: job_id=%s plan_id=%s", job_id, plan_id)
result = adapter.render_plan(
plan_id=plan_id,
job_id=job_id,
progress_cb=progress_cb,
)
if not result.success:
job_service.fail_job(job_id, f"渲染失败: {result.error_message}")
raise RuntimeError(result.error_message)
# 更新 Job 状态为完成
result_data = {
"plan_id": plan_id,
"output_path": str(result.output_path) if result.output_path else "",
"storage_key": f"rendered/{plan_id}/{job_id}.mp4",
"output_url": result.output_url,
"estimated_duration": result.duration,
"clip_count": result.clip_count,
"engine": "unified",
"width": result.width,
"height": result.height,
"file_size": result.file_size,
}
job_service.complete_job(job_id, result=result_data)
logger.info(
"视频合成完成(unified): job_id=%s plan_id=%s duration=%.2fs",
job_id,
plan_id,
result.duration,
)
return {"status": "completed", "job_id": job_id, "result": result_data}
def _cleanup_output(job_id: str) -> None:
"""清理临时输出文件。"""
try:
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
if Path(output_path).exists():
Path(output_path).unlink()
except Exception as e:
logger.warning(f"清理输出文件失败: {e}", exc_info=True)
+325 -102
View File
@@ -1,13 +1,18 @@
"""剪辑计划渲染任务 — Phase 8 任务 2.05.
"""剪辑计划渲染任务 — 支持 Feature Flag 灰度.
Celery 任务 worker.render_edit_plan:
1. 加载 EditPlan + EditPlanClips
2. 下载各片段素材
3. 使用 UnifiedRenderService 按时间线+图层渲染
2. 根据 Feature Flag 选择渲染引擎(legacy / unified
3. 下载各片段素材 + 渲染
4. 上传渲染结果到 OSS
5. 创建 GeneratedVideo 记录 + 查重
6. 更新 EditPlan / EditPlanClip 状态
7. 更新 GenerationTask 进度
渲染引擎灰度:
- 走 Feature Flag (render_engine) 控制
- legacy: VideoComposeService + FFmpeg filter_complex
- unified: UnifiedRenderService 图层架构
"""
from __future__ import annotations
@@ -16,7 +21,6 @@ import logging
import tempfile
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional
from worker_app.celery_app import celery_app
from worker_app.db import SessionLocal
@@ -63,14 +67,268 @@ def _get_repos():
# ── Celery Task ───────────────────────────────────────────────────────────────
def _resolve_render_engine(user_id: str) -> str:
"""根据 Feature Flag 决定使用哪个渲染引擎。
Returns:
"legacy""unified"
"""
try:
from video_processing.render_engine_resolver import get_render_engine_resolver
resolver = get_render_engine_resolver()
return resolver.get_engine(user_id=user_id)
except Exception as exc:
logger.warning("获取渲染引擎配置失败,fallback 到 legacy: %s", exc)
return "legacy"
def _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg: str):
"""统一的计划失败标记工具。"""
plan = plan_repo.get(plan_id)
if plan and plan.status.value == "rendering":
plan.mark_failed()
plan_repo.update(plan)
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task and gen_task.status.value != "failed":
gen_task.status = "failed"
gen_task.error_message = error_msg
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
def _finalize_render_success(
plan,
plan_repo,
clip_repo,
gen_task_repo,
db,
plan_id: str,
output_url: str,
storage_key: str,
duration: float,
file_size: int,
width: int,
height: int,
rendered_clip_ids: list[str],
failed_clip_ids: list[str],
generation_task_id: str,
output_path: Path,
engine: str,
) -> dict:
"""渲染成功后的统一收尾:查重 + 更新状态 + 返回结果。"""
# 创建 GeneratedVideo 记录 + 查重
project_id = plan.project_id or ""
batch_id = plan.config.get("batch_id", "")
mode = plan.config.get("mode", "edit_plan")
if generation_task_id and project_id:
try:
create_video_record_and_dedup(
generation_task_id=generation_task_id,
project_id=project_id,
batch_id=batch_id,
file_url=output_url or "",
file_size=file_size,
duration=duration,
video_path=str(output_path),
mode=mode,
session=db,
width=width,
height=height,
fps=OUTPUT_FPS,
)
except Exception as dedup_err:
logger.warning("查重失败(不影响渲染结果): %s", dedup_err)
# 更新片段状态为 rendered
for clip_id in rendered_clip_ids:
clip = clip_repo.get(clip_id)
if clip and clip.status.value == "ready":
clip.mark_rendered()
clip_repo.update(clip)
# 更新 EditPlan 状态为 completed
plan.config["rendered_url"] = output_url or ""
plan.config["rendered_storage_key"] = storage_key
plan.mark_completed()
plan_repo.update(plan)
# 更新 GenerationTask 状态为 completed
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "completed"
gen_task.progress = 100.0
gen_task.result_count = len(rendered_clip_ids)
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
logger.info(
"剪辑计划渲染完成: plan_id=%s engine=%s rendered=%d failed=%d duration=%.1fs",
plan_id,
engine,
len(rendered_clip_ids),
len(failed_clip_ids),
duration,
)
return {
"status": "completed",
"plan_id": plan_id,
"rendered_count": len(rendered_clip_ids),
"failed_count": len(failed_clip_ids),
"output_url": output_url,
"duration": duration,
}
def _render_with_unified(
plan,
clips,
asset_path_map: dict[str, Path],
tmpdir_path: Path,
rendered_clip_ids: list[str],
plan_id: str,
generation_task_id: str,
plan_repo,
clip_repo,
gen_task_repo,
db,
) -> dict:
"""统一渲染引擎路径(UnifiedRenderService 图层架构)。"""
render_service = UnifiedRenderService(
plan=plan,
clips=clips,
asset_path_map=asset_path_map,
work_dir=tmpdir_path,
output_width=OUTPUT_WIDTH,
output_height=OUTPUT_HEIGHT,
output_fps=int(OUTPUT_FPS),
)
try:
render_result = render_service.render()
except Exception as render_err:
logger.error("渲染失败(unified): %s%s", plan_id, render_err)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"渲染失败: {render_err}")
return {"status": "error", "message": f"渲染失败: {render_err}"}
output_path = render_result.output_path
# 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
failed_clip_ids: list[str] = []
return _finalize_render_success(
plan=plan,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
plan_id=plan_id,
output_url=output_url or "",
storage_key=storage_key,
duration=render_result.duration,
file_size=render_result.file_size,
width=render_result.width,
height=render_result.height,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
generation_task_id=generation_task_id,
output_path=output_path,
engine="unified",
)
def _render_with_legacy(
plan,
clips,
rendered_clip_ids: list[str],
failed_clip_ids: list[str],
tmpdir_path: Path,
plan_id: str,
generation_task_id: str,
plan_repo,
clip_repo,
gen_task_repo,
db,
) -> dict:
"""旧引擎路径(VideoComposeService + FFmpeg filter_complex)。"""
import os
import subprocess
from apps.api.app.services.video_compose_service import VideoComposeService
compose_svc = VideoComposeService(db)
# 校验合成条件
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
logger.error("合成校验失败(legacy): %s%s", plan_id, error_msg)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建 FFmpeg 命令
output_dir = os.environ.get("VIDEO_OUTPUT_DIR", str(tmpdir_path))
output_path = Path(output_dir) / f"{plan_id}.mp4"
compose_cmd = compose_svc.build_compose_command(plan_id, str(output_path))
logger.info("执行 FFmpeg (legacy): plan_id=%s", plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
error_msg = f"FFmpeg 执行失败: {e.stderr[:500]}"
logger.error("FFmpeg 执行失败(legacy): %s%s", plan_id, error_msg)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg)
return {"status": "error", "message": error_msg}
# 获取文件大小
file_size = output_path.stat().st_size if output_path.exists() else 0
duration = compose_cmd.estimated_duration or 0.0
# 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
return _finalize_render_success(
plan=plan,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
plan_id=plan_id,
output_url=output_url or "",
storage_key=storage_key,
duration=duration,
file_size=file_size,
width=OUTPUT_WIDTH,
height=OUTPUT_HEIGHT,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
generation_task_id=generation_task_id,
output_path=output_path,
engine="legacy",
)
@celery_app.task(name="worker.render_edit_plan", bind=True, max_retries=2)
def render_edit_plan(self, plan_id: str) -> dict:
"""渲染剪辑计划
流程:
1. 加载 EditPlan + EditPlanClips
2. 下载各片段素材到临时目录,构建 asset_path_map
3. 使用 UnifiedRenderService 按时间线+图层渲染
2. 根据 Feature Flag 选择渲染引擎(legacy / unified
3. 下载素材 + 渲染
4. 上传渲染结果到 OSS
5. 创建 GeneratedVideo 记录 + 查重
6. 更新 EditPlan → completed, EditPlanClips → rendered
@@ -79,6 +337,7 @@ def render_edit_plan(self, plan_id: str) -> dict:
logger.info("开始渲染剪辑计划: plan_id=%s", plan_id)
generation_task_id = ""
engine = "legacy"
for repos in _get_repos():
plan_repo, clip_repo, gen_task_repo, db = repos
@@ -93,7 +352,12 @@ def render_edit_plan(self, plan_id: str) -> dict:
# 获取 generation_task_id(提前读取,确保 except 块可用)
generation_task_id = plan.config.get("generation_task_id", "")
# 2. 加载片段列表(按 order 排序
# 2. 选择渲染引擎(Feature Flag 灰度控制
user_id = plan.created_by_user_id or ""
engine = _resolve_render_engine(user_id)
logger.info("剪辑计划渲染引擎: plan_id=%s engine=%s user_id=%s", plan_id, engine, user_id)
# 3. 加载片段列表(按 order 排序)
clips = clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
if not clips:
logger.warning("剪辑计划没有片段: %s", plan_id)
@@ -116,6 +380,15 @@ def render_edit_plan(self, plan_id: str) -> dict:
rendered_clip_ids: list[str] = []
failed_clip_ids: list[str] = []
# 预先批量查询所有素材的 storage_keyfile_url
from packages.adapters.sqlalchemy_impl.models import AssetModel
clip_asset_ids = [c.asset_id for c in clips if c.asset_id]
asset_storage_map: dict[str, str] = {}
if clip_asset_ids:
assets = db.query(AssetModel).filter(AssetModel.id.in_(clip_asset_ids)).all()
asset_storage_map = {a.id: a.file_url for a in assets if a.file_url}
for clip in clips:
if not clip.asset_id:
# 没有素材的片段跳过,标记为失败
@@ -129,10 +402,22 @@ def render_edit_plan(self, plan_id: str) -> dict:
rendered_clip_ids.append(clip.id)
continue
storage_key = asset_storage_map.get(clip.asset_id)
if not storage_key:
logger.warning(
"片段素材无 storage_key,跳过: clip_id=%s asset_id=%s",
clip.id,
clip.asset_id,
)
clip.mark_failed()
clip_repo.update(clip)
failed_clip_ids.append(clip.id)
continue
# 下载素材
ext = Path(clip.asset_id).suffix or ".mp4"
ext = Path(storage_key).suffix or ".mp4"
local_path = tmpdir_path / f"clip_{clip.order:04d}{ext}"
if download_asset(clip.asset_id, local_path):
if download_asset(storage_key, local_path):
asset_path_map[clip.asset_id] = local_path
rendered_clip_ids.append(clip.id)
else:
@@ -153,100 +438,38 @@ def render_edit_plan(self, plan_id: str) -> dict:
gen_task_repo.update(gen_task)
return {"status": "error", "message": "所有片段素材下载失败"}
# 4. 使用 UnifiedRenderService 渲染
render_service = UnifiedRenderService(
plan=plan,
clips=clips,
asset_path_map=asset_path_map,
work_dir=tmpdir_path,
output_width=OUTPUT_WIDTH,
output_height=OUTPUT_HEIGHT,
output_fps=int(OUTPUT_FPS),
)
# 4. 根据引擎选择渲染方式
if engine == "unified":
result = _render_with_unified(
plan=plan,
clips=clips,
asset_path_map=asset_path_map,
tmpdir_path=tmpdir_path,
rendered_clip_ids=rendered_clip_ids,
plan_id=plan_id,
generation_task_id=generation_task_id,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
)
else:
result = _render_with_legacy(
plan=plan,
clips=clips,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
tmpdir_path=tmpdir_path,
plan_id=plan_id,
generation_task_id=generation_task_id,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
)
try:
render_result = render_service.render()
except Exception as render_err:
logger.error("渲染失败: %s%s", plan_id, render_err)
plan.mark_failed()
plan_repo.update(plan)
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "failed"
gen_task.error_message = f"渲染失败: {render_err}"
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
return {"status": "error", "message": f"渲染失败: {render_err}"}
output_path = render_result.output_path
# 5. 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
# 6. 创建 GeneratedVideo 记录 + 查重
project_id = plan.project_id or ""
batch_id = plan.config.get("batch_id", "")
mode = plan.config.get("mode", "edit_plan")
if generation_task_id and project_id:
try:
create_video_record_and_dedup(
generation_task_id=generation_task_id,
project_id=project_id,
batch_id=batch_id,
file_url=output_url or "",
file_size=render_result.file_size,
duration=render_result.duration,
video_path=str(output_path),
mode=mode,
session=db,
width=render_result.width,
height=render_result.height,
fps=OUTPUT_FPS,
)
except Exception as dedup_err:
logger.warning("查重失败(不影响渲染结果): %s", dedup_err)
# 7. 更新片段状态为 rendered
for clip_id in rendered_clip_ids:
clip = clip_repo.get(clip_id)
if clip and clip.status.value == "ready":
clip.mark_rendered()
clip_repo.update(clip)
# 8. 更新 EditPlan 状态为 completed
plan.config["rendered_url"] = output_url or ""
plan.config["rendered_storage_key"] = storage_key
plan.mark_completed()
plan_repo.update(plan)
# 9. 更新 GenerationTask 状态为 completed
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "completed"
gen_task.progress = 100.0
gen_task.result_count = len(rendered_clip_ids)
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
logger.info(
"剪辑计划渲染完成: plan_id=%s rendered=%d failed=%d duration=%.1fs",
plan_id,
len(rendered_clip_ids),
len(failed_clip_ids),
render_result.duration,
)
return {
"status": "completed",
"plan_id": plan_id,
"rendered_count": len(rendered_clip_ids),
"failed_count": len(failed_clip_ids),
"output_url": output_url,
"duration": render_result.duration,
}
result["engine"] = engine
return result
except Exception as exc:
logger.exception("渲染剪辑计划异常: %s", plan_id)
+227 -45
View File
@@ -13,15 +13,13 @@
from __future__ import annotations
import json
import logging
import os
import tempfile
import time
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Optional
from typing import Any
from worker_app.celery_app import celery_app
from worker_app.db import SessionLocal
@@ -113,6 +111,7 @@ from video_processing.oss_helpers import (
get_signed_download_url,
upload_to_oss,
)
from video_processing.render_engine_resolver import ENGINE_LEGACY, ENGINE_UNIFIED
from video_processing.unified_render_service import UnifiedRenderService
# ── 虚拟 Plan / Clip(内存中构建,不写数据库) ────────────────────────────────
@@ -124,6 +123,7 @@ class _VirtualPlan:
id: str
name: str = ""
config: dict[str, Any] = field(default_factory=dict)
@dataclass
@@ -161,16 +161,17 @@ def _build_plan_and_clips_from_task(
"""
plan = _VirtualPlan(id=task_id, name=f"Generated-{task_id[:8]}")
# 为每个下载路径生成合成 asset_id
# 为每个下载路径生成合成 asset_id,并预探测素材时长
asset_path_map: dict[str, Path] = {}
path_to_asset_id: dict[Path, str] = {}
path_duration: dict[Path, float] = {}
for i, p in enumerate(downloaded_paths):
asset_id = f"gen_{task_id[:8]}_{i:03d}{p.suffix or '.mp4'}"
asset_path_map[asset_id] = p
path_to_asset_id[p] = asset_id
path_duration[p] = probe_duration(p)
clips: list[_VirtualClip] = []
n = len(downloaded_paths)
if mode == "pip":
# 1 main + N-1 overlay
@@ -183,6 +184,7 @@ def _build_plan_and_clips_from_task(
clip_type=clip_type,
order=i,
asset_id=path_to_asset_id[p],
duration=path_duration[p],
)
)
elif mode == "voice_over":
@@ -195,6 +197,7 @@ def _build_plan_and_clips_from_task(
clip_type="main",
order=i,
asset_id=path_to_asset_id[p],
duration=path_duration[p],
config={"role": "b_roll"},
)
)
@@ -214,6 +217,7 @@ def _build_plan_and_clips_from_task(
clip_type=clip_type,
order=i,
asset_id=path_to_asset_id[p],
duration=path_duration[p],
)
)
else:
@@ -226,6 +230,7 @@ def _build_plan_and_clips_from_task(
clip_type="main",
order=i,
asset_id=path_to_asset_id[p],
duration=path_duration[p],
)
)
@@ -380,31 +385,37 @@ def _download_library_assets(
session = SessionLocal()
try:
# 构建查询:根据模式选择不同的过滤条件
# 构建查询
query = session.query(AssetModel).filter(
AssetModel.status == "ready",
AssetModel.file_type.in_(["video", "video/mp4", "video/quicktime"]),
)
if asset_library_id:
# 素材库模式
query = query.filter(AssetModel.asset_library_id == asset_library_id)
if asset_ids:
# 明确指定了 asset_ids:直接按 ID 查,不预先按 library/project 过滤
# 避免项目级素材或跨库素材因为 library_id 不匹配而查不到
# 归属安全由后面的归属校验保证
query = query.filter(AssetModel.id.in_(asset_ids))
logger.info(
"下载素材库视频: asset_library_id=%s asset_ids=%s",
asset_library_id,
asset_ids or "all",
"下载指定素材: asset_ids=%d 个, asset_library_id=%s, project_id=%s",
len(asset_ids),
asset_library_id or "none",
project_id or "none",
)
else:
# 项目级模式
query = query.filter(AssetModel.project_id == project_id)
logger.info(
"下载项目级视频: project_id=%s asset_ids=%s",
project_id,
asset_ids or "all",
)
if asset_ids:
query = query.filter(AssetModel.id.in_(asset_ids))
# 未指定 asset_ids:按 library 或 project 下载全部 ready 视频
if asset_library_id:
query = query.filter(AssetModel.asset_library_id == asset_library_id)
logger.info(
"下载素材库全部视频: asset_library_id=%s",
asset_library_id,
)
else:
query = query.filter(AssetModel.project_id == project_id)
logger.info(
"下载项目全部视频: project_id=%s",
project_id,
)
assets = query.order_by(AssetModel.created_at).all()
@@ -421,13 +432,15 @@ def _download_library_assets(
if missing_ids:
raise ValueError(f"素材不存在: asset_ids={sorted(missing_ids)}")
for asset in assets:
# 校验素材库归属(只要传了 asset_library_id 就校验)
if asset_library_id and asset.asset_library_id != asset_library_id:
raise ValueError(
f"素材不属于指定素材库: asset_id={asset.id}, "
f"expected_asset_library_id={asset_library_id}, "
f"actual_asset_library_id={asset.asset_library_id}"
)
if not asset_library_id and project_id and asset.project_id != project_id:
# 校验项目归属(只要传了 project_id 就校验)
if project_id and asset.project_id != project_id:
raise ValueError(
f"素材不属于指定项目: asset_id={asset.id}, "
f"expected_project_id={project_id}, "
@@ -558,6 +571,148 @@ def _validate_template_exists(template_id: str) -> None:
session.close()
# ── 渲染引擎选择 ─────────────────────────────────────────────────────────────
def _resolve_render_engine(user_id: str) -> str:
"""根据 Feature Flag 决定使用哪个渲染引擎。
Returns:
"legacy""unified"
"""
try:
from video_processing.render_engine_resolver import get_render_engine_resolver
resolver = get_render_engine_resolver()
return resolver.get_engine(user_id=user_id)
except Exception as exc:
logger.warning("获取渲染引擎配置失败,fallback 到 unified: %s", exc)
return ENGINE_UNIFIED
# ── 旧引擎渲染(FFmpeg filter_complex) ────────────────────────────────────────
def _render_with_legacy_engine(
task_id: str,
virtual_clips: list[_VirtualClip],
asset_path_map: dict[str, Path],
work_dir: Path,
output_path: Path,
) -> tuple[float, int]:
"""旧引擎渲染路径:手动构建 FFmpeg filter_complex 命令。
说明:generate_video 任务使用虚拟 clips(无 EditPlan 数据库记录),
因此无法直接复用 VideoComposeService。这里手动构建等价的 filter_complex
命令,与旧引擎行为一致(scale → crop → setpts → trim → setpts
无 fps 归一化,保持原帧率)。
支持模式:one_take / pip / voice_over / voice_pip
- 所有模式统一走 concat 滤镜(与旧引擎多片段逻辑一致)
Returns:
(duration_seconds, file_size_bytes)
"""
import subprocess
main_clips = [
c
for c in virtual_clips
if c.clip_type in ("main", "b_roll", "background")
or (c.clip_type == "main" and c.config.get("role") == "b_roll")
]
if not main_clips:
main_clips = virtual_clips[:1]
input_args: list[str] = []
video_filters: list[str] = []
audio_filters: list[str] = []
for i, clip in enumerate(main_clips):
local_path = asset_path_map.get(clip.asset_id)
if not local_path:
continue
input_args.extend(["-i", str(local_path)])
duration = clip.duration or 0.0
# 视频滤镜:scale → crop → setpts → trim → setpts(与旧引擎一致)
vf = (
f"[{i}:v]"
f"scale={OUTPUT_WIDTH}:{OUTPUT_HEIGHT}:force_original_aspect_ratio=increase,"
f"crop={OUTPUT_WIDTH}:{OUTPUT_HEIGHT},"
f"setpts=PTS-STARTPTS,"
f"trim=0:{duration:.3f},"
f"setpts=PTS-STARTPTS"
f"[v{i}]"
)
video_filters.append(vf)
# 音频滤镜:atrim → asetpts
af = f"[{i}:a]atrim=0:{duration:.3f},asetpts=PTS-STARTPTS[a{i}]"
audio_filters.append(af)
n = len(main_clips)
if n == 1:
video_label = "[v0]"
audio_label = "[a0]"
else:
# concat 视频
v_inputs = "".join(f"[v{i}]" for i in range(n))
video_filters.append(f"{v_inputs}concat=n={n}:v=1:a=0[outv]")
# concat 音频
a_inputs = "".join(f"[a{i}]" for i in range(n))
audio_filters.append(f"{a_inputs}concat=n={n}:v=0:a=1[outa]")
video_label = "[outv]"
audio_label = "[outa]"
# 组装 filter_complex
fc_parts = video_filters + audio_filters
filter_complex = ";".join(fc_parts)
command = [
FFMPEG_BIN,
"-y",
*input_args,
"-filter_complex",
filter_complex,
"-map",
video_label,
"-map",
audio_label,
"-c:v",
"libx264",
"-crf",
"23",
"-preset",
"medium",
"-c:a",
"aac",
"-b:a",
"192k",
"-movflags",
"+faststart",
str(output_path),
]
logger.info("[task_id=%s] [渲染] legacy 引擎 FFmpeg 开始: clips=%d", task_id, n)
try:
run_ffmpeg(command)
except subprocess.CalledProcessError as e:
logger.error(
"[task_id=%s] [渲染] legacy 引擎 FFmpeg 失败: %s\nfilter_complex: %s",
task_id,
e,
filter_complex[:500],
)
raise
file_size = output_path.stat().st_size if output_path.exists() else 0
duration = probe_duration(output_path)
return duration, file_size
# ── Celery Task ──────────────────────────────────────────────────────────────
@@ -715,31 +870,58 @@ def generate_video(self, task_id: str) -> dict:
)
_flush_logs(task_id, gen_task)
# 使用 UnifiedRenderService 渲染
logger.info("[task_id=%s] [渲染] FFmpeg 渲染开始", task_id)
# 3. 根据 Feature Flag 选择渲染引擎
user_id = getattr(gen_task, "created_by_user_id", "") if gen_task else ""
engine = _resolve_render_engine(user_id) if user_id else ENGINE_UNIFIED
logger.info("[task_id=%s] [渲染] 引擎选择: %s (user_id=%s)", task_id, engine, user_id)
render_start = time.monotonic()
render_service = UnifiedRenderService(
plan=virtual_plan,
clips=virtual_clips,
asset_path_map=asset_path_map,
work_dir=temp_path,
output_width=OUTPUT_WIDTH,
output_height=OUTPUT_HEIGHT,
output_fps=int(OUTPUT_FPS),
)
render_result = render_service.render()
render_elapsed = time.monotonic() - render_start
logger.info(
"[task_id=%s] [渲染] FFmpeg 渲染完成: 耗时=%.1fs",
task_id,
render_elapsed,
)
render_output_path = temp_path / f"rendered-{task_id}.mp4"
if engine == ENGINE_LEGACY:
# 旧引擎:filter_complex + concat(保持原帧率,无 fps 归一化)
render_duration, render_file_size = _render_with_legacy_engine(
task_id=task_id,
virtual_clips=virtual_clips,
asset_path_map=asset_path_map,
work_dir=temp_path,
output_path=render_output_path,
)
render_elapsed = time.monotonic() - render_start
logger.info(
"[task_id=%s] [渲染] legacy 引擎完成: 耗时=%.1fs, 时长=%.2fs",
task_id,
render_elapsed,
render_duration,
)
else:
# 新引擎:UnifiedRenderService 图层架构
logger.info("[task_id=%s] [渲染] unified 引擎 FFmpeg 渲染开始", task_id)
render_service = UnifiedRenderService(
plan=virtual_plan,
clips=virtual_clips,
asset_path_map=asset_path_map,
work_dir=temp_path,
output_width=OUTPUT_WIDTH,
output_height=OUTPUT_HEIGHT,
output_fps=int(OUTPUT_FPS),
)
render_result = render_service.render()
render_output_path = render_result.output_path
render_duration = render_result.duration
render_elapsed = time.monotonic() - render_start
logger.info(
"[task_id=%s] [渲染] unified 引擎完成: 耗时=%.1fs",
task_id,
render_elapsed,
)
if gen_task:
gen_task.append_log(
"渲染",
f"FFmpeg 渲染完成, 耗时={render_elapsed:.1f}s",
f"引擎={engine}, 耗时={render_elapsed:.1f}s",
duration=round(render_elapsed, 2),
engine=engine,
)
_flush_logs(task_id, gen_task)
@@ -747,14 +929,14 @@ def generate_video(self, task_id: str) -> dict:
if audio_path:
final_path = temp_path / f"final-{task_id}.mp4"
try:
_mux_audio_track(render_result.output_path, audio_path, final_path)
_mux_audio_track(render_output_path, audio_path, final_path)
# 混音成功,使用混音后的文件
output_path = final_path
except Exception as mux_err:
logger.warning("[task_id=%s] [混音] 音频混合失败,使用无音频版本: %s", task_id, mux_err)
output_path = render_result.output_path
output_path = render_output_path
else:
output_path = render_result.output_path
output_path = render_output_path
file_size = output_path.stat().st_size
duration = probe_duration(output_path)
-3
View File
@@ -1,9 +1,6 @@
import subprocess
from datetime import datetime, timezone
from typing import Optional
from celery import Celery
from celery.app.task import Task
from celery.utils.log import get_task_logger
from worker_app.celery_app import celery_app
from worker_app.core.asset_types import infer_mime_type_from_storage_key
@@ -1,14 +1,11 @@
"""Voice extraction tasks - extract voice tracks and background music from videos."""
import json
import logging
import os
import subprocess
import tempfile
from typing import Optional
from celery import Task
from sqlalchemy.orm import Session
from worker_app.celery_app import celery_app
from worker_app.db import SessionLocal
+1 -1
View File
@@ -112,7 +112,7 @@
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `OSS_ENDPOINT` | OSS Endpoint | `oss-cn-hangzhou.aliiyuncs.com` |
| `OSS_ENDPOINT` | OSS Endpoint | `oss-cn-hangzhou.aliyuncs.com` |
| `OSS_ACCESS_KEY_ID` | OSS Access Key ID | `""`(空) |
| `OSS_ACCESS_KEY_SECRET` | OSS Access Key Secret | `""`(空) |
| `OSS_BUCKET_NAME` | OSS Bucket 名称 | `xiaoxia-autocut` |
-1
View File
@@ -1 +0,0 @@
"""Packages root."""
-1
View File
@@ -1 +0,0 @@
"""Adapters package for external implementations."""
+16 -1
View File
@@ -1,3 +1,9 @@
from packages.adapters.redis.feature_flag_store import (
FeatureFlagConfig,
FeatureFlagStore,
InMemoryFeatureFlagStore,
RedisFeatureFlagStore,
)
from packages.adapters.redis.session_store import (
NoopSessionStore,
RedisConfig,
@@ -5,4 +11,13 @@ from packages.adapters.redis.session_store import (
get_session_store,
)
__all__ = ["NoopSessionStore", "RedisConfig", "SessionStore", "get_session_store"]
__all__ = [
"FeatureFlagConfig",
"FeatureFlagStore",
"InMemoryFeatureFlagStore",
"NoopSessionStore",
"RedisConfig",
"RedisFeatureFlagStore",
"SessionStore",
"get_session_store",
]
+259
View File
@@ -0,0 +1,259 @@
"""Feature Flag 存储实现。
支持两种后端:
- RedisFeatureFlagStore:生产环境使用,支持多实例共享、热更新
- InMemoryFeatureFlagStore:测试/开发环境使用,纯内存
支持的 Flag 类型:
- 全局开关(enabled: bool
- 白名单(whitelist: Set[str],如 user_id 列表)
- 百分比切流(percentage: 0-100,基于标识符哈希取模)
判定优先级:白名单 > 百分比 > 全局开关
"""
from __future__ import annotations
import hashlib
import json
import logging
import threading
import time
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Optional, Set
logger = logging.getLogger(__name__)
# Redis key 前缀
FEATURE_FLAG_REDIS_PREFIX = "feature_flag:"
@dataclass
class FeatureFlagConfig:
"""单个 Feature Flag 的配置。"""
name: str
enabled: bool = False
percentage: int = 0 # 0-100
whitelist: Set[str] = field(default_factory=set)
def to_dict(self) -> dict:
return {
"name": self.name,
"enabled": self.enabled,
"percentage": self.percentage,
"whitelist": sorted(self.whitelist),
}
@classmethod
def from_dict(cls, data: dict) -> "FeatureFlagConfig":
return cls(
name=data["name"],
enabled=bool(data.get("enabled", False)),
percentage=int(data.get("percentage", 0)),
whitelist=set(data.get("whitelist", [])),
)
def is_active(self, identifier: Optional[str] = None) -> bool:
"""判断当前 flag 是否激活。
判定优先级:
1. 全局关闭 → False
2. 白名单匹配 → True
3. 百分比命中 → True
4. 其他 → False
Args:
identifier: 用于白名单匹配和百分比哈希的标识符(如 user_id)。
传 None 时只看全局开关 + 百分比(百分比用随机值)。
"""
if not self.enabled:
return False
# 白名单:精确匹配
if identifier and identifier in self.whitelist:
return True
# 百分比:0 直接 False100 直接 True
if self.percentage <= 0:
# 没有白名单且百分比为0 → 未启用
return False
if self.percentage >= 100:
return True
# 基于 identifier 做哈希取模,确保同一用户始终落在同一侧
if identifier:
hash_val = int(
hashlib.md5(f"{self.name}:{identifier}".encode("utf-8")).hexdigest(), 16 # nosec B324
) # nosec B324 - 用于哈希取模做百分比切流,非安全用途
return (hash_val % 100) < self.percentage
# 无 identifier 且百分比在 0-100 之间 → 按比例随机(不保证一致性)
import random
return random.randint(0, 99) < self.percentage
class FeatureFlagStore(ABC):
"""Feature Flag 存储抽象接口。"""
@abstractmethod
def get(self, name: str) -> FeatureFlagConfig:
"""获取指定 flag 的配置,不存在则返回默认配置(关闭状态)。"""
...
@abstractmethod
def set(self, config: FeatureFlagConfig) -> None:
"""设置 flag 配置。"""
...
@abstractmethod
def delete(self, name: str) -> bool:
"""删除 flag,返回是否成功删除。"""
...
@abstractmethod
def list_all(self) -> dict[str, FeatureFlagConfig]:
"""列出所有 flag。"""
...
def is_active(self, name: str, identifier: Optional[str] = None) -> bool:
"""便捷方法:判断 flag 是否激活。"""
return self.get(name).is_active(identifier)
class InMemoryFeatureFlagStore(FeatureFlagStore):
"""内存实现,用于测试和本地开发。"""
def __init__(self) -> None:
self._flags: dict[str, FeatureFlagConfig] = {}
self._lock = threading.Lock()
def get(self, name: str) -> FeatureFlagConfig:
with self._lock:
return self._flags.get(name, FeatureFlagConfig(name=name, enabled=False))
def set(self, config: FeatureFlagConfig) -> None:
with self._lock:
self._flags[config.name] = config
def delete(self, name: str) -> bool:
with self._lock:
if name in self._flags:
del self._flags[name]
return True
return False
def list_all(self) -> dict[str, FeatureFlagConfig]:
with self._lock:
return dict(self._flags)
class RedisFeatureFlagStore(FeatureFlagStore):
"""Redis 实现,支持多实例共享配置。
每个 flag 存在一个独立的 Redis hash key 中:
Key: feature_flag:{name}
Fields: enabled, percentage, whitelist(JSON array)
"""
def __init__(self, redis_url: str, key_prefix: str = FEATURE_FLAG_REDIS_PREFIX) -> None:
import redis as redis_lib
self._redis = redis_lib.from_url(redis_url, decode_responses=True)
self._key_prefix = key_prefix
# 本地缓存 + TTL,减少 Redis 调用
self._cache: dict[str, tuple[FeatureFlagConfig, float]] = {}
self._cache_ttl = 5.0 # 秒,默认5秒本地缓存
self._lock = threading.Lock()
def _redis_key(self, name: str) -> str:
return f"{self._key_prefix}{name}"
def _parse_whitelist(self, raw: Optional[str]) -> Set[str]:
if not raw:
return set()
try:
data = json.loads(raw)
return set(data) if isinstance(data, list) else set()
except (json.JSONDecodeError, TypeError):
return set()
def get(self, name: str) -> FeatureFlagConfig:
now = time.time()
# 先查本地缓存
with self._lock:
cached = self._cache.get(name)
if cached and now - cached[1] < self._cache_ttl:
return cached[0]
# 从 Redis 读取
try:
key = self._redis_key(name)
data = self._redis.hgetall(key)
if not data:
config = FeatureFlagConfig(name=name, enabled=False)
else:
config = FeatureFlagConfig(
name=name,
enabled=(data.get("enabled", "0") in ("1", "true", "True")),
percentage=int(data.get("percentage", 0)),
whitelist=self._parse_whitelist(data.get("whitelist")),
)
# 写入本地缓存
with self._lock:
self._cache[name] = (config, now)
return config
except Exception as exc:
logger.warning("Failed to get feature flag %s from Redis: %s", name, exc)
# Redis 不可用时返回默认值(关闭),不影响业务
return FeatureFlagConfig(name=name, enabled=False)
def set(self, config: FeatureFlagConfig) -> None:
key = self._redis_key(config.name)
self._redis.hset(
key,
mapping={
"enabled": "1" if config.enabled else "0",
"percentage": str(config.percentage),
"whitelist": json.dumps(sorted(config.whitelist), ensure_ascii=False),
},
)
# 失效本地缓存
with self._lock:
self._cache.pop(config.name, None)
def delete(self, name: str) -> bool:
key = self._redis_key(name)
result = self._redis.delete(key)
with self._lock:
self._cache.pop(name, None)
return bool(result)
def list_all(self) -> dict[str, FeatureFlagConfig]:
pattern = f"{self._key_prefix}*"
result: dict[str, FeatureFlagConfig] = {}
try:
cursor = 0
while True:
cursor, keys = self._redis.scan(cursor=cursor, match=pattern, count=100)
for key in keys:
name = key[len(self._key_prefix) :]
result[name] = self.get(name)
if cursor == 0:
break
except Exception as exc:
logger.warning("Failed to list feature flags from Redis: %s", exc)
return result
def invalidate_cache(self, name: Optional[str] = None) -> None:
"""手动失效本地缓存。"""
with self._lock:
if name:
self._cache.pop(name, None)
else:
self._cache.clear()
+17
View File
@@ -91,6 +91,23 @@ class SQLAlchemyGenerationTaskRepository:
def count_by_user(self, user_id: str) -> int:
return self.session.query(GenerationTaskModel).filter(GenerationTaskModel.created_by_user_id == user_id).count()
def count_pending_by_user(self, user_id: str) -> int:
return (
self.session.query(GenerationTaskModel)
.filter(
GenerationTaskModel.created_by_user_id == user_id,
GenerationTaskModel.status == GenerationTaskStatus.PENDING.value,
)
.count()
)
def count_pending_total(self) -> int:
return (
self.session.query(GenerationTaskModel)
.filter(GenerationTaskModel.status == GenerationTaskStatus.PENDING.value)
.count()
)
def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[GenerationTask]:
models = (
self.session.query(GenerationTaskModel)
+1 -1
View File
@@ -1,6 +1,6 @@
from datetime import datetime, timezone
from sqlalchemy import JSON, Boolean, Column, DateTime, Float, Integer, String, Text, UniqueConstraint, create_engine
from sqlalchemy import JSON, Boolean, Column, DateTime, Float, Integer, String, Text, UniqueConstraint
from sqlalchemy.orm import declarative_base
Base = declarative_base()
+1
View File
@@ -64,6 +64,7 @@ __all__ = [
"CreateAssetUseCase",
"CreateGenerationTaskCommand",
"CreateGenerationTaskUseCase",
"GetGenerationTaskUseCase",
"CreateJobCommand",
"CreateJobUseCase",
"CreateProjectCommand",
+1 -2
View File
@@ -12,10 +12,9 @@ JWT 处理器委托层
payload = jwt_handler.verify_access_token(token)
"""
from datetime import datetime, timedelta
from typing import Any, Dict, Optional
from packages.application.auth.jwt_service import JWTConfig, JWTService, TokenType
from packages.application.auth.jwt_service import JWTConfig, JWTService
class JWTHandler:
+4 -4
View File
@@ -208,10 +208,10 @@ def _get_jwt_service():
kw = dict(secret_key=settings.JWT_SECRET_KEY)
if hasattr(settings, "JWT_ALGORITHM"):
kw["algorithm"] = settings.JWT_ALGORITHM
if hasattr(settings, "ACCESS_TOKEN_EXPIRE_MINUTES"):
kw["access_token_expire_minutes"] = settings.ACCESS_TOKEN_EXPIRE_MINUTES
if hasattr(settings, "REFRESH_TOKEN_EXPIRE_DAYS"):
kw["refresh_token_expire_days"] = settings.REFRESH_TOKEN_EXPIRE_DAYS
if hasattr(settings, "JWT_ACCESS_TOKEN_EXPIRE_MINUTES"):
kw["access_token_expire_minutes"] = settings.JWT_ACCESS_TOKEN_EXPIRE_MINUTES
if hasattr(settings, "JWT_REFRESH_TOKEN_EXPIRE_DAYS"):
kw["refresh_token_expire_days"] = settings.JWT_REFRESH_TOKEN_EXPIRE_DAYS
_jwt_service_instance = JWTService(JWTConfig(**kw))
return _jwt_service_instance
+1 -1
View File
@@ -293,7 +293,7 @@ class LogoutUseCase:
try:
if request.logout_all_devices:
# 删除所有设备的 session
count = self.session_store.delete_all_user_sessions(request.user_id)
self.session_store.delete_all_user_sessions(request.user_id)
return True, None
else:
# 删除当前 session
@@ -85,8 +85,6 @@ class PasswordHasher:
True 如果需要重新哈希
"""
try:
hashed_bytes = hashed_password.encode("utf-8")
current_rounds = bcrypt.getsalt(hashed_bytes)
# 提取当前的 cost factor
# bcrypt hash 格式: $2b$rounds$salt+hash
@@ -3,7 +3,7 @@
"""
import secrets
from datetime import datetime, timedelta, timezone
from datetime import datetime, timezone
from typing import Optional
from uuid import uuid4
+1 -1
View File
@@ -3,7 +3,7 @@
"""
from math import ceil
from typing import Generic, List, Optional, TypeVar
from typing import Generic, List, TypeVar
from pydantic import BaseModel, Field
-2
View File
@@ -7,9 +7,7 @@ from __future__ import annotations
import logging
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Any
from uuid import uuid4
from packages.domain.job import Job, JobStatus, JobType
from packages.ports.job_repository import JobRepository
-1
View File
@@ -9,7 +9,6 @@ from typing import List, Optional
from packages.adapters.sqlalchemy_impl.recipe_repository import SQLAlchemyRecipeRepository
from packages.application.recipe.commands import (
CreateRecipeCommand,
RecipeItemCommand,
UpdateRecipeCommand,
)
from packages.domain.recipe import Recipe, RecipeItem
-1
View File
@@ -1 +0,0 @@
"""TTS Job application layer."""
@@ -148,7 +148,6 @@ class TTSStreamingService:
# 并发合成所有分段,按顺序流式推送
queue: asyncio.Queue[tuple[int, Optional[bytes], Optional[str]]] = asyncio.Queue()
completed_count = 0
async def _synthesize_one(idx: int, seg_text: str) -> None:
"""合成单个分段并放入队列。"""
+1 -1
View File
@@ -24,7 +24,7 @@ from packages.application.cosyvoice_service import (
CosyVoiceError,
CosyVoiceService,
)
from packages.application.tts_job.audio_merger import AudioMergeError, AudioMerger
from packages.application.tts_job.audio_merger import AudioMerger
from packages.application.tts_job.text_splitter import split_text
from packages.domain.tts_job import TTSJob, TTSJobStatus
from packages.ports.tts_job_repository import TTSJobRepository
@@ -2,7 +2,6 @@
from __future__ import annotations
import uuid
from typing import List, Optional
from packages.domain.voice_clone_profile import VoiceCloneProfile
+2 -3
View File
@@ -10,7 +10,7 @@
from __future__ import annotations
import logging
from typing import Any, Optional
from typing import Optional
from packages.application.cosyvoice_service import (
CosyVoiceAuthError,
@@ -21,9 +21,8 @@ from packages.application.voice_clone.use_cases import (
CreateVoiceCloneUseCase,
RetryVoiceCloneUseCase,
VoiceCloneNotFoundError,
VoiceCloneNotRetryableError,
)
from packages.domain.voice_clone_profile import VoiceCloneProfile, VoiceCloneStatus
from packages.domain.voice_clone_profile import VoiceCloneProfile
from packages.ports.voice_clone_profile_repository import VoiceCloneProfileRepository
logger = logging.getLogger(__name__)
-1
View File
@@ -13,7 +13,6 @@ else:
pass
from typing import Any
from uuid import uuid4
+1 -1
View File
@@ -10,7 +10,7 @@ from __future__ import annotations
import copy
from enum import Enum
from typing import List, Optional
from typing import Optional
from pydantic import BaseModel, Field
Regular → Executable
+36
View File
@@ -134,6 +134,25 @@ class AssetStatus(StrEnum):
PROCESSING = "processing"
ERROR = "error"
@classmethod
def _missing_(cls, value: object) -> "AssetStatus":
"""兼容历史数据,避免枚举转换失败导致500。
- uploaded READY早期版本用 uploaded 表示上传完成
- 其他未知值 READY兜底不阻塞业务
"""
if isinstance(value, str):
normalized = value.strip().lower()
if normalized in ("uploaded", "success", "ok", "done", "complete"):
return cls.READY
if normalized in ("upload", "uploading_start", "upload_start"):
return cls.UPLOADING
if normalized in ("failed", "fail", "err"):
return cls.ERROR
if normalized in ("process", "processing", "running", "run"):
return cls.PROCESSING
return cls.READY
class ClassificationStatus(StrEnum):
PENDING = "pending"
@@ -141,6 +160,23 @@ class ClassificationStatus(StrEnum):
COMPLETED = "completed"
FAILED = "failed"
@classmethod
def _missing_(cls, value: object) -> "ClassificationStatus":
"""兼容历史数据,避免枚举转换失败导致500。
- done COMPLETED早期版本用 done 表示完成
- 其他未知值 PENDING兜底不阻塞业务
"""
if isinstance(value, str):
normalized = value.strip().lower()
if normalized in ("done", "success", "finished", "complete"):
return cls.COMPLETED
if normalized in ("fail", "error", "err"):
return cls.FAILED
if normalized in ("process", "processing", "running", "run"):
return cls.PROCESSING
return cls.PENDING
@dataclass(slots=True)
class Asset:

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