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feat(generation): #2024 defer video finalization until cover confirmed
Two-phase pipeline: worker renders and precomputes dedup metadata, but does
not create GeneratedVideo until user confirms cover in Step 5.

Domain
- Add GenerationTaskStatus.AWAITING_COVER (non-terminal)
- Add mark_awaiting_cover(): progress=100, clears error, leaves completed_at unset
- Transitions: running → {awaiting_cover, completed, failed, cancelled};
  awaiting_cover → {completed, failed, cancelled}
- _missing_ aliases: waiting_cover/video_ready/rendered/pending_cover
- Keep running→completed for backward compat / legacy paths

Worker (apps/worker/worker_app/tasks/generation.py)
- Replace _record_video_and_dedup with _precompute_render_metadata:
  calls compute_render_fingerprint_and_dedup, returns dict without DB writes
- Remove runtime batch-rerender decision (should_rerender_for_batch_dedup path);
  dedup now happens at finalize time against all finished records
- Persist precomputed metadata into task.extra_meta['rendered_output']
- Final status: mark_awaiting_cover instead of mark_completed

Dedup helpers (apps/worker/video_processing/dedup_helpers.py)
- New compute_render_fingerprint_and_dedup(video_path,...): local fingerprint
  + historical dedup + batch dedup, returns fully serializable dict
  (fingerprint_dict, fingerprint_chunks list, is_duplicate, duplicate_of, etc.)
- create_video_record_and_dedup() retained for compat/tests; now supports
  pre_dedup_result to reuse worker-precomputed data without re-reading video
- VideoFingerprint.from_dict() added to reconstruct from serialized form

Application layer (packages/application/generated_video_finalize.py)
- RenderedOutput dataclass + from_dict() for deserializing worker output
- finalize_generated_video(): creates GeneratedVideo, bulk-inserts
  VideoFingerprintChunk rows, commits; API-layer free

API service (apps/api/app/services/generation_finalize_service.py)
- GenerationFinalizeService.finalize_task(task_id, user_id, cover_url):
  * permission / existence check
  * idempotent: if GeneratedVideo already exists for this task, just ensure
    task is marked completed and return (safe for double-click)
  * status gate: only awaiting_cover (or legacy completed) accepted
  * cover resolution: explicit cover_url arg > task.cover_url
  * delegates to finalize_generated_video, marks task completed,
    clears extra_meta['rendered_output']

API endpoint (apps/api/app/api/routes/generation_tasks.py)
- POST /api/v1/generation/tasks/{task_id}/finalize
- Body: { cover_url?: string }; returns video_id/cover_url/file_url/is_duplicate
- Adjust confirm_generation fast path: mark_confirmed keeps task in
  awaiting_cover (don't auto-complete); historical 'completed' previews
  migrated back to awaiting_cover
- Preview-reuse accepts awaiting_cover tasks

Preview / task center
- GET /preview/{task_id} constructs lightweight _PreviewVideo from
  extra_meta.rendered_output when task is awaiting_cover
- Task center step map: awaiting_cover → 等待确认封面; status filter includes it

Tests
- tests/unit/test_finalize_generation.py: 13 new tests covering status
  transitions, mark_awaiting_cover, RenderedOutput parsing, finalize use case
  (success / missing metadata / cover fallback)
- test_generation_task.py updated for 6th status value
- Full suite: 15978 passed, 28 skipped (matches #2023 baseline, no regressions)
- black/isort/ruff clean

Out of scope (intentionally untouched)
- AI avatar pipeline uses separate AiAvatarRenderJob; finalize_job and
  /{job_id}/finalize are unchanged
- PR #2023 subtitle font scaling files (ass_subtitle_builder,
  video_filter_builder, subtitle_generator) not modified
- No DB migration: GenerationTaskModel.status is String(20) without CHECK
- Temp file cleanup: leave to existing periodic job
2026-09-24 11:29:36 +08:00

小虾 SaaS - 自动化视频剪辑平台

Python 3.12+ FastAPI PostgreSQL

自动化视频剪辑 SaaS 平台,支持素材上传、AI 分类、智能剪辑计划生成、自动化视频合成与成片管理。


✨ 核心功能

🎬 视频剪辑主链路

  • 素材上传(直传 OSS + 分片上传大文件,最大 2GB)
  • AI 智能分类与质量评分
  • 4 种剪辑模式:one_take / pip(画中画)/ voice_over(口播+B-roll)/ voice_pip
  • 剪辑计划模板 + 智能生成
  • 自动化视频合成任务(Celery 异步)
  • 成片下载与审核管理
  • 资产诊断(素材就绪度评估、缺口分析)

🔐 认证系统

  • JWT Bearer Token 认证
  • 邮箱注册 + 邮箱验证
  • 密码重置(邮箱找回)
  • bcrypt 密码加密

📋 项目管理

  • 项目 CRUD + 共享
  • 任务管理(创建/更新/状态流转/进度追踪)
  • 里程碑管理
  • 任务问题追踪

📊 素材库管理

  • 素材库创建与管理
  • 素材上传、审核状态流转(pending_review → approved/rejected)
  • 素材诊断(就绪度评分、缺口分析、智能视图)

🚀 快速开始

方式 1: Docker Compose(推荐)

# 1. 克隆仓库
git clone https://git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas.git
cd xiaoxia-saas

# 2. 配置环境变量
cp .env.example .env
# 编辑 .env 填写数据库、Redis、OSS 等配置

# 3. 启动所有服务
docker-compose up -d

# 4. 访问 API 文档
open http://localhost:8000/docs

方式 2: 本地开发

# 1. 克隆仓库
git clone https://git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas.git
cd xiaoxia-saas

# 2. 创建虚拟环境
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# 3. 安装依赖
pip install -r requirements.txt

# 4. 配置环境变量
cp .env.example .env

# 5. 启动 API 服务
uvicorn apps.api.main:app --reload

# 6. 访问 API 文档
open http://localhost:8000/docs

📚 API 文档

交互式文档

核心 API 路径

认证 (/api/v1/auth)

方法 路径 说明
POST /register 用户注册
POST /login 用户登录
GET /me 获取当前用户信息
POST /password/forgot 忘记密码
POST /password/reset 重置密码

视频剪辑主链路

上传素材 → POST /api/v1/upload(直传)或 /api/v1/upload/chunk/init(分片)
   ↓
创建素材 → POST /api/v1/assets
   ↓
AI 分类 → POST /api/v1/classification-jobs
   ↓
生成剪辑计划 → POST /api/v1/projects/{id}/edit-plans/auto-generate
   ↓
创建生成任务 → POST /api/v1/generation/tasks/
   ↓
查询结果 → GET /api/v1/generation/tasks/{task_id}/results/
   ↓
获取成片 → GET /api/v1/generated-videos/{video_id}/download-url

项目管理 (/api/v1/project-management)

方法 路径 说明
GET/POST /tasks 任务列表/创建
PATCH /tasks/{id} 更新任务信息
PATCH /tasks/{id}/status 更新任务状态
PATCH /tasks/{id}/progress 更新任务进度
GET/POST /milestones 里程碑列表/创建
GET/POST /issues 问题列表/创建
PATCH /issues/{id}/resolve 解决问题

素材与上传

方法 路径 说明
POST /api/v1/upload 直传素材(multipart/form-data)
POST /api/v1/upload/direct/prepare 准备 OSS 直传签名
POST /api/v1/upload/direct/complete 确认直传完成
POST /api/v1/upload/chunk/init 初始化分片上传
POST /api/v1/upload/chunk/{id}/{index} 上传分片
POST /api/v1/upload/chunk/{id}/complete 完成分片上传
GET /api/v1/assets 素材列表
PATCH /api/v1/assets/{id}/review 更新素材审核状态
GET /api/v1/projects/{id}/asset-diagnosis 资产诊断

成片管理 (/api/v1/generated-videos)

方法 路径 说明
GET / 成片列表
GET /{video_id} 成片详情
GET /{video_id}/download-url 下载链接
PATCH /{video_id}/review 审核状态

完整 API 列表请查看 API 主线清单


🏗️ 架构

小虾 SaaS
├── packages/              # 核心业务逻辑(Clean Architecture)
│   ├── domain/           # 领域模型(dataclass)
│   ├── application/      # 用例(Use Cases)
│   ├── ports/            # 接口定义(抽象端口)
│   └── adapters/         # 适配器实现(SQLAlchemy、Redis、SMTP 等)
├── apps/                 # 应用层
│   ├── api/             # FastAPI 应用 + 路由 + Pydantic schemas
│   ├── web/             # React + Vite 前端
│   └── worker/          # Celery 异步任务(视频处理、分类等)
├── migrations/           # Alembic 数据库迁移
├── tests/               # 测试
│   ├── unit/           # 单元测试
│   ├── integration/    # 集成测试
│   └── e2e/            # 端到端测试
└── docs/                # 文档

设计模式:

  • Clean Architecture(依赖方向:外层 → 内层)
  • 依赖注入(FastAPI Depends)
  • Repository 模式(通过 ports 抽象)
  • Domain-Driven Design

🛠️ 技术栈

后端:

  • Python 3.12 + FastAPI 0.115.0
  • PostgreSQL 16(生产)
  • Redis 7(缓存 + Celery Broker)
  • Celery(异步任务:视频处理、素材导入、分类)
  • 阿里云 OSS(文件存储)

前端:

  • React 18 + TypeScript
  • Vite(构建工具)
  • Ant Design(UI 组件)

部署:

  • Docker + Docker Compose
  • Gitea + Gitea Actions(CI/CD)
  • Nginx(反向代理)

🧪 测试

# 运行所有测试
pytest tests/ -v

# 运行单元测试
pytest tests/unit -v

# 运行集成测试
pytest tests/integration -v

# 生成覆盖率报告
pytest --cov=packages --cov-report=html

📊 当前状态

模块 状态
视频剪辑主链路(Phase 7) ✅ 已完成
分片上传(最大 2GB) ✅ 已完成
4 种剪辑模式 ✅ 已完成
项目管理 + 任务追踪 ✅ 已完成
资产诊断 ✅ 已完成
认证系统(JWT) ✅ 已完成
CI/CD 流水线 ✅ 运行中
前端界面(Vite) ✅ 已完成

📄 更多文档


🤝 贡献

欢迎贡献!请查看 贡献指南

仓库地址: https://git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas


License: MIT

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Description
小虾 SaaS 自动化剪辑系统
Readme MIT 116 MiB
v2.1.0-test.9 Latest
2026-07-09 08:32:46 +08:00
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