xiaoxia 1a2f34e508
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fix(cover): overlay title text on cover image after frame extraction
Root cause: cover frame is extracted during preview video rendering (Step 3),
but user selects title AFTER rendering (Step 4). The cover frame naturally
has no title because it was captured before the title was chosen.

Fix: In generation_cover.py, after finding cover_url_from_task, check if
plan.config['title']['text'] has a title. If yes, download the cover image,
use ffmpeg drawtext to overlay the title (white text + black shadow, centered
near bottom), upload to OSS, and return the new URL. On failure, fallback
to original cover_url.

Changes:
- Add _overlay_title_on_cover_image() helper in generation_cover.py
- Add _escape_drawtext_text() for ffmpeg special character escaping
- Modify cover route to check for title and overlay if present
- 12 new unit tests (test_cover_title_overlay.py)
- All 13603 tests pass

Fixes: cover title missing issue in staging
2026-08-15 15:42:56 +08:00
2026-06-27 19:02:31 +08:00
2026-07-13 17:45:37 +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 DesignUI 组件)

部署:

  • Docker + Docker Compose
  • Gitea + Gitea ActionsCI/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 52 MiB
v2.1.0-test.9 Latest
2026-07-09 08:32:46 +08:00
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