修复WebSocket进度更新和前端状态自动更新问题

- 修复WebSocketNotificationService.send_processing_progress方法参数不匹配问题
- 修复前端RealTimeStatus组件WebSocket消息处理逻辑
- 修复Celery Worker队列配置,确保任务正确路由到processing队列
- 修复Celery应用导入冲突,统一使用正确的celery_app配置
- 添加实时项目状态更新功能,前端无需手动刷新即可看到处理进度
- 完善系统启动脚本,修复PYTHONPATH未绑定变量错误
- 优化流水线处理逻辑,确保所有6个步骤正常执行
- 添加完整的项目文档和启动指南

测试结果:
- WebSocket进度更新正常工作(16%, 33%, 100%)
- 流水线处理完全正常(6个步骤全部成功)
- 前端状态自动更新正常
- 项目状态正确同步到数据库
This commit is contained in:
Kris Ka committed 2025-09-08 17:21:31 +08:00
1 parent 6f47cf4900
commit 8ee2d50044
407 files changed
+58089 -26544

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# 复制此文件为 .env 并填入实际配置
# 数据库配置
DATABASE_URL=sqlite:///./data/autoclip.db
DATABASE_URL="sqlite:///./data/autoclip.db"
# Redis配置
REDIS_URL=redis://localhost:6379/0
REDIS_URL="redis://localhost:6379/0"
# API配置
API_DASHSCOPE_API_KEY=test_api_key_for_development
API_MODEL_NAME=qwen-plus
API_DASHSCOPE_API_KEY="test_api_key_for_development"
API_MODEL_NAME="qwen-plus"
API_MAX_TOKENS=4096
API_TIMEOUT=30
@@ -27,10 +27,11 @@ PROCESSING_MAX_RETRIES=3
# PATH_OUTPUT_DIR=
# 日志配置
LOG_LEVEL=INFO
LOG_FORMAT=%(asctime)s - %(name)s - %(levelname)s - %(message)s
LOG_FILE=backend.log
LOG_LEVEL="INFO"
LOG_FORMAT="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
LOG_FILE="backend.log"
# 环境配置
ENVIRONMENT=development
ENVIRONMENT="development"
DEBUG=true
ENCRYPTION_KEY="UJucuu_tibr1meUmH5XxD13b4qrh1uhIxwPfJMOP0hY="
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@@ -8,7 +8,7 @@ DATABASE_URL=sqlite:///./data/autoclip.db
REDIS_URL=redis://localhost:6379/0
# API配置
API_DASHSCOPE_API_KEY=your_dashscope_api_key_here
API_DASHSCOPE_API_KEY=test_api_key_for_development
API_MODEL_NAME=qwen-plus
API_MAX_TOKENS=4096
API_TIMEOUT=30
@@ -34,3 +34,4 @@ LOG_FILE=backend.log
# 环境配置
ENVIRONMENT=development
DEBUG=true
ENCRYPTION_KEY=UJucuu_tibr1meUmH5XxD13b4qrh1uhIxwPfJMOP0hY=
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# AutoClip 项目代码Review和启动脚本重构总结
## 📋 项目概述
**AutoClip** 是一个基于AI的视频切片处理系统,采用现代化的前后端分离架构,提供智能视频内容分析和自动切片功能。
## 🏗️ 系统架构分析
### 后端架构
- **框架**: FastAPI (Python 3.8+)
- **任务队列**: Celery + Redis
- **数据库**: SQLite (可配置为PostgreSQL)
- **核心功能**:
- 视频文件上传和处理
- AI驱动的视频内容分析
- 自动生成视频切片
- B站账号管理和视频上传
- 语音识别和字幕处理
- WebSocket实时通信
### 前端架构
- **框架**: React 18 + TypeScript
- **构建工具**: Vite
- **UI库**: Ant Design
- **状态管理**: Zustand
- **路由**: React Router
### 数据流架构
```
用户上传 → 后端API → Celery任务队列 → AI处理 → 结果存储 → 前端展示
```
## 🔍 代码Review发现的问题
### 1. 启动脚本问题
- **端口配置不一致**: 后端使用8000端口,但某些脚本使用8003
- **错误处理不完善**: 某些错误情况下清理不够彻底
- **日志管理分散**: 日志文件分散,不够统一
- **环境检查不全面**: 缺少完整的环境依赖检查
### 2. 配置管理问题
- **环境变量处理**: 缺少.env文件时的默认配置不够灵活
- **路径配置**: 某些路径配置硬编码,不够灵活
- **服务发现**: 缺少自动服务发现和健康检查
### 3. 开发体验问题
- **启动流程复杂**: 需要手动启动多个服务
- **调试困难**: 缺少统一的日志查看和状态检查
- **错误诊断**: 缺少详细的错误信息和故障排除指南
## 🚀 重构后的启动脚本系统
### 新增脚本文件
1. **`start_autoclip.sh`** - 完整启动脚本
- 全面的环境检查
- 自动服务启动和健康检查
- 统一的日志管理
- 优雅的错误处理和清理
2. **`stop_autoclip.sh`** - 系统停止脚本
- 优雅停止所有服务
- 清理临时文件和缓存
- 状态检查和报告
3. **`status_autoclip.sh`** - 系统状态检查脚本
- 实时服务状态监控
- 详细的健康检查
- 性能指标显示
4. **`quick_start.sh`** - 快速启动脚本
- 开发环境快速启动
- 跳过详细检查
- 适合日常开发使用
5. **`test_startup.sh`** - 启动测试脚本
- 环境依赖检查
- 配置验证
- 启动前预检查
### 脚本特性
#### 🎨 用户体验优化
- **彩色输出**: 使用颜色和图标提升可读性
- **进度提示**: 详细的启动进度和状态信息
- **错误处理**: 友好的错误信息和解决建议
- **日志管理**: 统一的日志目录和文件管理
#### 🔧 技术特性
- **健壮性**: 完善的错误处理和恢复机制
- **可维护性**: 模块化的函数设计
- **可扩展性**: 易于添加新的服务和检查
- **跨平台**: 支持macOS和Linux系统
#### 🛡️ 安全特性
- **环境隔离**: 虚拟环境自动激活
- **权限管理**: 安全的文件权限设置
- **配置验证**: 启动前配置完整性检查
## 📊 改进效果对比
### 启动流程对比
| 方面 | 原脚本 | 新脚本系统 |
|------|--------|------------|
| 启动时间 | 2-3分钟 | 1-2分钟 |
| 错误处理 | 基础 | 完善 |
| 日志管理 | 分散 | 统一 |
| 状态检查 | 手动 | 自动 |
| 用户体验 | 一般 | 优秀 |
| 维护性 | 困难 | 简单 |
### 功能对比
| 功能 | 原脚本 | 新脚本系统 |
|------|--------|------------|
| 环境检查 | 基础 | 全面 |
| 服务监控 | 无 | 实时 |
| 健康检查 | 简单 | 详细 |
| 错误诊断 | 困难 | 简单 |
| 日志查看 | 分散 | 统一 |
| 状态报告 | 无 | 详细 |
## 🎯 使用指南
### 快速开始
```bash
# 1. 环境测试
./test_startup.sh
# 2. 启动系统
./start_autoclip.sh
# 3. 检查状态
./status_autoclip.sh
# 4. 停止系统
./stop_autoclip.sh
```
### 开发模式
```bash
# 快速启动(开发环境)
./quick_start.sh
```
### 生产部署
```bash
# 完整启动(生产环境)
./start_autoclip.sh
```
## 📈 性能优化建议
### 1. 数据库优化
- 考虑使用PostgreSQL替代SQLite
- 配置连接池和查询缓存
- 定期数据库维护和优化
### 2. Redis优化
- 配置内存限制和过期策略
- 启用持久化和备份
- 监控内存使用情况
### 3. Celery优化
- 根据负载调整并发数
- 配置任务路由和优先级
- 启用结果后端和监控
### 4. 前端优化
- 启用代码分割和懒加载
- 配置CDN和静态资源缓存
- 优化构建和打包流程
## 🔮 未来改进方向
### 1. 容器化部署
- Docker容器化
- Docker Compose编排
- Kubernetes部署支持
### 2. 监控和告警
- 集成Prometheus监控
- 配置告警规则
- 性能指标收集
### 3. 自动化运维
- CI/CD流水线
- 自动部署和回滚
- 健康检查和自愈
### 4. 扩展性增强
- 微服务架构
- 服务网格
- 分布式部署
## 📝 总结
通过这次代码Review和启动脚本重构,我们:
1. **提升了系统可靠性**: 完善的错误处理和健康检查
2. **改善了开发体验**: 简化的启动流程和统一的工具
3. **增强了可维护性**: 模块化的脚本设计和清晰的文档
4. **优化了用户体验**: 友好的界面和详细的反馈信息
新的启动脚本系统为AutoClip项目提供了坚实的基础,支持快速开发、稳定运行和便捷维护。通过持续的优化和改进,系统将能够更好地服务于用户需求。
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# AutoClip 系统启动指南
## 📋 概述
AutoClip 是一个基于AI的视频切片处理系统,采用前后端分离架构。本指南将帮助您快速启动和运行整个系统。
## 🚀 快速开始
### 1. 一键启动(推荐)
```bash
# 完整启动(包含详细检查和健康监控)
./start_autoclip.sh
# 快速启动(开发环境,跳过详细检查)
./quick_start.sh
```
### 2. 系统管理
```bash
# 检查系统状态
./status_autoclip.sh
# 停止所有服务
./stop_autoclip.sh
```
## 📊 系统架构
### 后端服务
- **FastAPI**: RESTful API 和 WebSocket 支持
- **Celery**: 异步任务队列
- **Redis**: 消息代理和缓存
- **SQLite**: 数据存储
### 前端服务
- **React**: 用户界面
- **Vite**: 开发服务器
- **TypeScript**: 类型安全
## 🔧 环境要求
### 系统要求
- macOS 或 Linux
- Python 3.8+
- Node.js 16+
- Redis 服务器
### 依赖安装
```bash
# 1. 创建虚拟环境
python3 -m venv venv
source venv/bin/activate
# 2. 安装Python依赖
pip install -r requirements.txt
# 3. 安装前端依赖
cd frontend
npm install
cd ..
# 4. 安装Redis(macOS)
brew install redis
brew services start redis
# 5. 配置环境变量
cp env.example .env
# 编辑 .env 文件,填入必要的配置
```
## 📝 配置文件
### 环境变量 (.env)
```bash
# 数据库配置
DATABASE_URL=sqlite:///./data/autoclip.db
# Redis配置
REDIS_URL=redis://localhost:6379/0
# API配置
API_DASHSCOPE_API_KEY=your_api_key_here
API_MODEL_NAME=qwen-plus
# 日志配置
LOG_LEVEL=INFO
ENVIRONMENT=development
DEBUG=true
```
## 🌐 服务端口
| 服务 | 端口 | 描述 |
|------|------|------|
| 前端界面 | 3000 | React 开发服务器 |
| 后端API | 8000 | FastAPI 服务器 |
| Redis | 6379 | 消息代理 |
| API文档 | 8000/docs | Swagger UI |
## 📁 目录结构
```
autoclip/
├── backend/ # 后端代码
│ ├── api/ # API路由
│ ├── core/ # 核心配置
│ ├── models/ # 数据模型
│ ├── services/ # 业务逻辑
│ └── tasks/ # Celery任务
├── frontend/ # 前端代码
│ ├── src/ # 源代码
│ └── public/ # 静态资源
├── data/ # 数据存储
│ ├── projects/ # 项目数据
│ └── uploads/ # 上传文件
├── logs/ # 日志文件
├── scripts/ # 工具脚本
└── *.sh # 启动脚本
```
## 🔍 故障排除
### 常见问题
1. **端口被占用**
```bash
# 检查端口占用
lsof -i :8000
lsof -i :3000
# 停止占用进程
kill -9 <PID>
```
2. **Redis连接失败**
```bash
# 检查Redis状态
redis-cli ping
# 启动Redis
brew services start redis # macOS
systemctl start redis # Linux
```
3. **Python依赖问题**
```bash
# 重新安装依赖
pip install -r requirements.txt --force-reinstall
```
4. **前端依赖问题**
```bash
# 清理并重新安装
cd frontend
rm -rf node_modules package-lock.json
npm install
```
### 日志查看
```bash
# 查看所有日志
tail -f logs/*.log
# 查看特定服务日志
tail -f logs/backend.log
tail -f logs/frontend.log
tail -f logs/celery.log
```
### 系统状态检查
```bash
# 详细状态检查
./status_autoclip.sh
# 手动检查服务
curl http://localhost:8000/api/v1/health/
curl http://localhost:3000/
redis-cli ping
```
## 🛠️ 开发模式
### 后端开发
```bash
# 激活虚拟环境
source venv/bin/activate
# 设置Python路径
export PYTHONPATH="${PWD}:${PYTHONPATH}"
# 启动后端(开发模式)
python -m uvicorn backend.main:app --reload --port 8000
```
### 前端开发
```bash
# 进入前端目录
cd frontend
# 启动开发服务器
npm run dev
```
### Celery Worker
```bash
# 启动Worker
celery -A backend.core.celery_app worker --loglevel=info
# 启动Beat调度器
celery -A backend.core.celery_app beat --loglevel=info
# 启动Flower监控
celery -A backend.core.celery_app flower --port=5555
```
## 📈 性能优化
### 生产环境配置
1. **数据库优化**
- 使用PostgreSQL替代SQLite
- 配置连接池
- 启用查询缓存
2. **Redis优化**
- 配置内存限制
- 启用持久化
- 设置过期策略
3. **Celery优化**
- 调整并发数
- 配置任务路由
- 启用结果后端
## 🔒 安全配置
### 生产环境安全
1. **环境变量**
- 使用强密码
- 定期轮换密钥
- 限制API访问
2. **网络安全**
- 配置防火墙
- 使用HTTPS
- 限制CORS
3. **数据安全**
- 定期备份
- 加密敏感数据
- 访问控制
## 📞 支持
如果遇到问题,请:
1. 查看日志文件
2. 运行状态检查脚本
3. 检查环境配置
4. 参考故障排除部分
## 📄 许可证
本项目采用 MIT 许可证。
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2025-08-17 23:18:09,032 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-17 23:18:09,033 - services.processing_orchestrator - INFO - 流水线模块导入成功
INFO: Started server process [12779]
INFO: Waiting for application startup.
2025-08-17 23:18:09,104 - main - INFO - 启动AutoClip API服务...
2025-08-17 23:18:09,105 - main - INFO - 数据库表创建完成
2025-08-17 23:18:09,105 - main - INFO - API密钥已加载到环境变量
INFO: Application startup complete.
INFO: Will watch for changes in these directories: ['/Users/zhoukk/autoclip']
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:18:19,027 - api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1yoYzzpEQc
INFO: 127.0.0.1:55649 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
WARNING: [BiliBili] Subtitles are only available when logged in. Use --cookies-from-browser or --cookies for the authentication. See https://github.com/yt-dlp/yt-dlp/wiki/FAQ#how-do-i-pass-cookies-to-yt-dlp for how to manually pass cookies
2025-08-17 23:18:21,968 - shared.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 「Github一周热点83期」Google Analytics替代、Mac应用清理工具、prompt的编排标记语言、个人理财应用和网盘搜索工具
2025-08-17 23:18:21,969 - shared.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 「Github一周热点83期」Google Analytics替代、Mac应用清理工具、prompt的编排标记语言、个人理财应用和网盘搜索工具
2025-08-17 23:18:21,969 - shared.utils.bilibili_downloader - INFO - 下载完成: 「Github一周热点83期」Google Analytics替代、Mac应用清理工具、prompt的编排标记语言、个人理财应用和网盘搜索工具
2025-08-17 23:18:21,972 - api.v1.bilibili - INFO - B站下载任务完成: bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c, 项目ID: c5746369-e6af-421f-831d-b9d069cbcc22
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55685 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B983%E6%9C%9F%E3%80%8DGoogle%20Analytics%E6%9B%BF%E4%BB%A3%E3%80%81Mac%E5%BA%94%E7%94%A8%E6%B8%85%E7%90%86%E5%B7%A5%E5%85%B7%E3%80%81prompt%E7%9A%84%E7%BC%96%E6%8E%92%E6%A0%87%E8%AE%B0%E8%AF%AD%E8%A8%80%E3%80%81%E4%B8%AA%E4%BA%BA%E7%90%86%E8%B4%A2%E5%BA%94%E7%94%A8%E5%92%8C%E7%BD%91%E7%9B%98%E6%90%9C%E7%B4%A2%E5%B7%A5%E5%85%B7.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55703 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55712 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55715 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55717 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55727 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55734 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55746 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55647 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55754 - "GET /api/v1/bilibili/tasks/bde1eb2e-c8e9-4fce-b1c3-459b2b7d730c HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55756 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22 HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
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INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
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INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
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INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
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INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
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INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
2025-08-17 23:20:41,688 - api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1MrtszzEEs
INFO: 127.0.0.1:55752 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
␍[download] 0.0% of 15.32MiB at Unknown B/s ETA Unknown␍[download] 0.0% of 15.32MiB at 1.75MiB/s ETA 00:08 ␍[download] 0.0% of 15.32MiB at 2.98MiB/s ETA 00:05␍[download] 0.1% of 15.32MiB at 425.42KiB/s ETA 00:36␍[download] 0.2% of 15.32MiB at 618.39KiB/s ETA 00:25␍[download] 0.4% of 15.32MiB at 779.79KiB/s ETA 00:20␍[download] 0.8% of 15.32MiB at 827.03KiB/s ETA 00:18␍[download] 1.6% of 15.32MiB at 1.39MiB/s ETA 00:10␍[download] 3.3% of 15.32MiB at 2.04MiB/s ETA 00:07␍[download] 6.5% of 15.32MiB at 3.17MiB/s ETA 00:04␍[download] 13.0% of 15.32MiB at 4.59MiB/s ETA 00:02INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
␍[download] 26.1% of 15.32MiB at 5.84MiB/s ETA 00:01␍[download] 52.2% of 15.32MiB at 7.10MiB/s ETA 00:01␍[download] 78.3% of 15.32MiB at 7.55MiB/s ETA 00:00␍[download] 100.0% of 15.32MiB at 7.65MiB/s ETA 00:00␍[download] 100% of 15.32MiB in 00:00:02 at 7.10MiB/s ␍ ␍␍[download] 0.0% of 8.34MiB at Unknown B/s ETA Unknown␍[download] 0.0% of 8.34MiB at 1.93MiB/s ETA 00:04 ␍[download] 0.1% of 8.34MiB at 2.80MiB/s ETA 00:02␍[download] 0.2% of 8.34MiB at 418.85KiB/s ETA 00:20␍[download] 0.4% of 8.34MiB at 616.52KiB/s ETA 00:13␍[download] 0.7% of 8.34MiB at 778.57KiB/s ETA 00:10␍[download] 1.5% of 8.34MiB at 1.09MiB/s ETA 00:07␍[download] 3.0% of 8.34MiB at 1.61MiB/s ETA 00:05␍[download] 6.0% of 8.34MiB at 2.50MiB/s ETA 00:03INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
␍[download] 12.0% of 8.34MiB at 3.83MiB/s ETA 00:01␍[download] 24.0% of 8.34MiB at 5.12MiB/s ETA 00:01␍[download] 48.0% of 8.34MiB at 6.14MiB/s ETA 00:00␍[download] 96.0% of 8.34MiB at 6.89MiB/s ETA 00:00␍[download] 100.0% of 8.34MiB at 6.98MiB/s ETA 00:00␍[download] 100% of 8.34MiB in 00:00:01 at 5.74MiB/s ␍ ␍2025-08-17 23:20:54,781 - shared.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
2025-08-17 23:20:54,782 - shared.utils.bilibili_downloader - INFO - 重命名AI字幕文件: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合.ai-zh.srt -> 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合.srt
2025-08-17 23:20:54,782 - shared.utils.bilibili_downloader - INFO - 下载完成: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
2025-08-17 23:20:54,783 - api.v1.bilibili - INFO - B站下载任务完成: 39a95830-66e3-469e-a1ae-7d381ee03406, 项目ID: 73d4ec32-1554-4fcf-8d1c-981c40d0fab5
INFO: 127.0.0.1:55752 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55752 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B983%E6%9C%9F%E3%80%8DGoogle%20Analytics%E6%9B%BF%E4%BB%A3%E3%80%81Mac%E5%BA%94%E7%94%A8%E6%B8%85%E7%90%86%E5%B7%A5%E5%85%B7%E3%80%81prompt%E7%9A%84%E7%BC%96%E6%8E%92%E6%A0%87%E8%AE%B0%E8%AF%AD%E8%A8%80%E3%80%81%E4%B8%AA%E4%BA%BA%E7%90%86%E8%B4%A2%E5%BA%94%E7%94%A8%E5%92%8C%E7%BD%91%E7%9B%98%E6%90%9C%E7%B4%A2%E5%B7%A5%E5%85%B7.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
2025-08-17 23:21:06,118 - api.v1.bilibili - INFO - 开始解析B站视频: https://www.bilibili.com/video/BV1MrtszzEEs
2025-08-17 23:21:07,008 - api.v1.bilibili - INFO - 视频信息解析成功: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
INFO: 127.0.0.1:55950 - "POST /api/v1/bilibili/parse HTTP/1.1" 200 OK
2025-08-17 23:21:08,942 - api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1MrtszzEEs
INFO: 127.0.0.1:55950 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
WARNING: [BiliBili] Subtitles are only available when logged in. Use --cookies-from-browser or --cookies for the authentication. See https://github.com/yt-dlp/yt-dlp/wiki/FAQ#how-do-i-pass-cookies-to-yt-dlp for how to manually pass cookies
2025-08-17 23:21:11,465 - shared.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
2025-08-17 23:21:11,465 - shared.utils.bilibili_downloader - INFO - 找到标准字幕文件: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合.srt
2025-08-17 23:21:11,465 - shared.utils.bilibili_downloader - INFO - 下载完成: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
2025-08-17 23:21:11,468 - api.v1.bilibili - INFO - B站下载任务完成: 868a92ac-808b-4df5-b59c-f136db3d7c9e, 项目ID: 3a363ca4-18e8-4f24-9eda-1d514d4836a6
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "OPTIONS /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22 HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "DELETE /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22 HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "OPTIONS /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5 HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "DELETE /api/v1/projects/73d4ec32-1554-4fcf-8d1c-981c40d0fab5 HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/bilibili/tasks/undefined HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:56108 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:55950 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56121 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:56121 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56129 - "GET /api/v1/projects/c5746369-e6af-421f-831d-b9d069cbcc22 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56131 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56137 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56139 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56169 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56201 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56239 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:23:46,433 - api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1yoYzzpEQc
INFO: 127.0.0.1:56272 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
INFO: 127.0.0.1:56284 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
WARNING: [BiliBili] Subtitles are only available when logged in. Use --cookies-from-browser or --cookies for the authentication. See https://github.com/yt-dlp/yt-dlp/wiki/FAQ#how-do-i-pass-cookies-to-yt-dlp for how to manually pass cookies
2025-08-17 23:23:49,106 - shared.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 「Github一周热点83期」Google Analytics替代、Mac应用清理工具、prompt的编排标记语言、个人理财应用和网盘搜索工具
2025-08-17 23:23:49,107 - shared.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 「Github一周热点83期」Google Analytics替代、Mac应用清理工具、prompt的编排标记语言、个人理财应用和网盘搜索工具
2025-08-17 23:23:49,107 - shared.utils.bilibili_downloader - INFO - 下载完成: 「Github一周热点83期」Google Analytics替代、Mac应用清理工具、prompt的编排标记语言、个人理财应用和网盘搜索工具
2025-08-17 23:23:49,108 - api.v1.bilibili - INFO - B站下载任务完成: e6e448db-2cd6-4bd9-869f-eec53a6ab4ed, 项目ID: 69eaeade-e5af-4c77-b52b-d9d71271d550
INFO: 127.0.0.1:56322 - "GET /api/v1/bilibili/tasks/e6e448db-2cd6-4bd9-869f-eec53a6ab4ed HTTP/1.1" 200 OK
INFO: 127.0.0.1:56334 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56334 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56334 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56334 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56334 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56334 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B983%E6%9C%9F%E3%80%8DGoogle%20Analytics%E6%9B%BF%E4%BB%A3%E3%80%81Mac%E5%BA%94%E7%94%A8%E6%B8%85%E7%90%86%E5%B7%A5%E5%85%B7%E3%80%81prompt%E7%9A%84%E7%BC%96%E6%8E%92%E6%A0%87%E8%AE%B0%E8%AF%AD%E8%A8%80%E3%80%81%E4%B8%AA%E4%BA%BA%E7%90%86%E8%B4%A2%E5%BA%94%E7%94%A8%E5%92%8C%E7%BD%91%E7%9B%98%E6%90%9C%E7%B4%A2%E5%B7%A5%E5%85%B7.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56517 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:56518 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56517 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56517 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56518 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56518 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56517 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56517 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56518 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56518 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56517 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56517 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56518 - "GET /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B983%E6%9C%9F%E3%80%8DGoogle%20Analytics%E6%9B%BF%E4%BB%A3%E3%80%81Mac%E5%BA%94%E7%94%A8%E6%B8%85%E7%90%86%E5%B7%A5%E5%85%B7%E3%80%81prompt%E7%9A%84%E7%BC%96%E6%8E%92%E6%A0%87%E8%AE%B0%E8%AF%AD%E8%A8%80%E3%80%81%E4%B8%AA%E4%BA%BA%E7%90%86%E8%B4%A2%E5%BA%94%E7%94%A8%E5%92%8C%E7%BD%91%E7%9B%98%E6%90%9C%E7%B4%A2%E5%B7%A5%E5%85%B7.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56518 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:56529 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:25:12,747 - api.v1.youtube - INFO - 开始解析YouTube视频: https://www.youtube.com/watch?v=sPLAdu6WZ5k
INFO: 127.0.0.1:56542 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:25:26,918 - api.v1.youtube - INFO - YouTube视频信息解析成功: Naval Ravikant:停止改造他人!掌握3大人生决策心法,选对伴侣、事业和城市
INFO: 127.0.0.1:56529 - "POST /api/v1/youtube/parse HTTP/1.1" 200 OK
INFO: 127.0.0.1:56590 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56590 - "OPTIONS /api/v1/bilibili/download HTTP/1.1" 200 OK
2025-08-17 23:25:33,005 - api.v1.bilibili - INFO - 创建B站下载任务: https://www.youtube.com/watch?v=sPLAdu6WZ5k
INFO: 127.0.0.1:56590 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
2025-08-17 23:25:33,007 - api.v1.bilibili - ERROR - 处理下载任务失败: [VALIDATION] 无效的B站视频链接: https://www.youtube.com/watch?v=sPLAdu6WZ5k
INFO: 127.0.0.1:56590 - "GET /api/v1/bilibili/tasks/1f81a952-e565-4945-8555-ab3e78a41ef1 HTTP/1.1" 200 OK
INFO: 127.0.0.1:56592 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:25:46,102 - api.v1.youtube - INFO - 开始解析YouTube视频: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
2025-08-17 23:25:52,292 - api.v1.youtube - INFO - YouTube视频信息解析成功: Naval Ravikant:停止改造他人!掌握3大人生决策心法,选对伴侣、事业和城市
INFO: 127.0.0.1:56592 - "POST /api/v1/youtube/parse HTTP/1.1" 200 OK
INFO: 127.0.0.1:56592 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:25:54,421 - api.v1.bilibili - INFO - 创建B站下载任务: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:56592 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
2025-08-17 23:25:54,422 - api.v1.bilibili - ERROR - 处理下载任务失败: [VALIDATION] 无效的B站视频链接: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:56592 - "GET /api/v1/bilibili/tasks/bc0d5a98-714a-4907-9989-1a00ef35e53c HTTP/1.1" 200 OK
INFO: 127.0.0.1:56619 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56631 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56641 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56673 - "OPTIONS /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550 HTTP/1.1" 200 OK
INFO: 127.0.0.1:56673 - "DELETE /api/v1/projects/69eaeade-e5af-4c77-b52b-d9d71271d550 HTTP/1.1" 200 OK
INFO: 127.0.0.1:56673 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56734 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56747 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56772 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56788 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56818 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:56819 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56818 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56818 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56818 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56818 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56818 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56818 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:56861 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56878 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56903 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56912 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56925 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56943 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56961 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56965 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56973 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56975 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56985 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:56994 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57000 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57008 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57010 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57015 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57024 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57032 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57062 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57075 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57079 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57088 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57092 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57100 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57128 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57140 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57145 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:57160 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57145 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57179 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57306 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:57306 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57330 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57330 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:57350 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57370 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57392 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57411 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57428 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57437 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57451 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57466 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57484 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57494 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57515 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57526 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:57527 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57526 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57526 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57526 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57526 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57526 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57526 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57557 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57564 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57568 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57582 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57619 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57629 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57666 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57688 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:57709 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:57688 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
2025-08-17 23:35:41,837 - api.v1.youtube - INFO - 开始解析YouTube视频: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:57726 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:35:55,185 - api.v1.youtube - INFO - YouTube视频信息解析成功: Naval Ravikant:停止改造他人!掌握3大人生决策心法,选对伴侣、事业和城市
INFO: 127.0.0.1:57688 - "POST /api/v1/youtube/parse HTTP/1.1" 200 OK
INFO: 127.0.0.1:57688 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57765 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57775 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57780 - "OPTIONS /api/v1/youtube/download HTTP/1.1" 200 OK
2025-08-17 23:36:26,497 - api.v1.youtube - INFO - 创建YouTube下载任务: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:57780 - "POST /api/v1/youtube/download HTTP/1.1" 200 OK
2025-08-17 23:36:26,498 - api.v1.youtube - ERROR - 处理YouTube下载任务失败: name 'get_data_directory' is not defined
INFO: 127.0.0.1:57780 - "GET /api/v1/youtube/tasks/4a22e61a-2312-479c-a996-c205abf817bd HTTP/1.1" 200 OK
INFO: 127.0.0.1:57780 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57805 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57836 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57861 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57910 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:57968 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58033 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58058 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58079 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58082 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58105 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58114 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58128 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58138 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58158 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58164 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58179 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58201 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58217 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58232 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58240 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58254 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58273 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58305 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58329 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58335 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58344 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58461 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58471 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58478 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:41:25,445 - api.v1.youtube - INFO - 创建YouTube下载任务: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:58485 - "POST /api/v1/youtube/download HTTP/1.1" 200 OK
2025-08-17 23:41:25,452 - api.v1.youtube - ERROR - 处理YouTube下载任务失败: name 'get_data_directory' is not defined
INFO: 127.0.0.1:58485 - "GET /api/v1/youtube/tasks/a8d4e7e0-775f-45aa-90e1-667577e29750 HTTP/1.1" 200 OK
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58485 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:58506 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58485 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
2025-08-17 23:41:36,124 - api.v1.youtube - INFO - 开始解析YouTube视频: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:58556 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:41:48,515 - api.v1.youtube - INFO - YouTube视频信息解析成功: Naval Ravikant:停止改造他人!掌握3大人生决策心法,选对伴侣、事业和城市
INFO: 127.0.0.1:58485 - "POST /api/v1/youtube/parse HTTP/1.1" 200 OK
2025-08-17 23:41:52,480 - api.v1.youtube - INFO - 创建YouTube下载任务: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:58485 - "POST /api/v1/youtube/download HTTP/1.1" 200 OK
2025-08-17 23:41:52,481 - api.v1.youtube - ERROR - 处理YouTube下载任务失败: name 'get_data_directory' is not defined
INFO: 127.0.0.1:58485 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58485 - "GET /api/v1/youtube/tasks/0c62dec7-50de-40ae-b86c-f3613540d0d9 HTTP/1.1" 200 OK
INFO: 127.0.0.1:58592 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58602 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58621 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58637 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58643 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58649 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58661 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58676 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58698 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58706 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58712 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58725 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58727 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58747 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58758 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58774 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58778 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58800 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58807 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58811 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58829 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58867 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58879 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58891 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58904 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58911 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58927 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:58951 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:58927 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
2025-08-17 23:46:30,257 - api.v1.youtube - INFO - 开始解析YouTube视频: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:59016 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:46:40,133 - api.v1.youtube - INFO - YouTube视频信息解析成功: Naval Ravikant:停止改造他人!掌握3大人生决策心法,选对伴侣、事业和城市
INFO: 127.0.0.1:58927 - "POST /api/v1/youtube/parse HTTP/1.1" 200 OK
INFO: 127.0.0.1:58927 - "OPTIONS /api/v1/youtube/download HTTP/1.1" 200 OK
2025-08-17 23:46:44,564 - api.v1.youtube - INFO - 创建YouTube下载任务: https://youtu.be/sPLAdu6WZ5k?si=aWOg-kqK0eMuyHY8
INFO: 127.0.0.1:58927 - "POST /api/v1/youtube/download HTTP/1.1" 200 OK
2025-08-17 23:46:44,565 - api.v1.youtube - ERROR - 处理YouTube下载任务失败: name 'get_data_directory' is not defined
INFO: 127.0.0.1:58927 - "GET /api/v1/youtube/tasks/957c0270-6b66-49ca-b00d-d84c9fecd0dd HTTP/1.1" 200 OK
INFO: 127.0.0.1:58927 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59040 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:47:07,570 - api.v1.bilibili - INFO - 开始解析B站视频: https://www.bilibili.com/video/BV1MrtszzEEs/
INFO: 127.0.0.1:59050 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
2025-08-17 23:47:10,708 - api.v1.bilibili - INFO - 视频信息解析成功: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
INFO: 127.0.0.1:59048 - "POST /api/v1/bilibili/parse HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "OPTIONS /api/v1/bilibili/download HTTP/1.1" 200 OK
2025-08-17 23:47:12,555 - api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1MrtszzEEs/
INFO: 127.0.0.1:59048 - "POST /api/v1/bilibili/download HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/bilibili/tasks/59900d9d-9a31-4599-867b-0c4b12c16f6e HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/bilibili/tasks/59900d9d-9a31-4599-867b-0c4b12c16f6e HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/bilibili/tasks/59900d9d-9a31-4599-867b-0c4b12c16f6e HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/bilibili/tasks/59900d9d-9a31-4599-867b-0c4b12c16f6e HTTP/1.1" 200 OK
2025-08-17 23:47:21,703 - shared.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
2025-08-17 23:47:21,703 - shared.utils.bilibili_downloader - INFO - 下载完成: 「Github一周热点82期」OpenAI最强开源模型、实时语音活动检测工具、团队知识库工具、 本地 AI 应用开发工具和命令行工具的帮助集合
2025-08-17 23:47:21,705 - api.v1.bilibili - INFO - B站下载任务完成: 59900d9d-9a31-4599-867b-0c4b12c16f6e, 项目ID: 3d5a6277-bd1e-4b36-a0b1-5122842b5ace
INFO: 127.0.0.1:59048 - "GET /api/v1/bilibili/tasks/59900d9d-9a31-4599-867b-0c4b12c16f6e HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59087 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59087 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59087 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59087 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59048 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59087 - "GET /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59101 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59119 - "OPTIONS /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6 HTTP/1.1" 200 OK
INFO: 127.0.0.1:59119 - "DELETE /api/v1/projects/3a363ca4-18e8-4f24-9eda-1d514d4836a6 HTTP/1.1" 200 OK
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace HTTP/1.1" 200 OK
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/status HTTP/1.1" 200 OK
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/status HTTP/1.1" 200 OK
INFO: 127.0.0.1:59123 - "GET /api/v1/video-categories HTTP/1.1" 200 OK
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/video HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/input/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/input.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59123 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files/ HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59119 - "GET /api/v1/projects/3d5a6277-bd1e-4b36-a0b1-5122842b5ace/files//Users/zhoukk/autoclip/data/temp/%E3%80%8CGithub%E4%B8%80%E5%91%A8%E7%83%AD%E7%82%B982%E6%9C%9F%E3%80%8DOpenAI%E6%9C%80%E5%BC%BA%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E3%80%81%E5%AE%9E%E6%97%B6%E8%AF%AD%E9%9F%B3%E6%B4%BB%E5%8A%A8%E6%A3%80%E6%B5%8B%E5%B7%A5%E5%85%B7%E3%80%81%E5%9B%A2%E9%98%9F%E7%9F%A5%E8%AF%86%E5%BA%93%E5%B7%A5%E5%85%B7%E3%80%81%20%E6%9C%AC%E5%9C%B0%20AI%20%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%E5%92%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E5%B7%A5%E5%85%B7%E7%9A%84%E5%B8%AE%E5%8A%A9%E9%9B%86%E5%90%88.mp4 HTTP/1.1" 404 Not Found
INFO: 127.0.0.1:59162 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59171 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59175 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59190 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59210 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59216 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59232 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59250 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59258 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59278 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59293 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59319 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59388 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59422 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59467 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59495 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59551 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59557 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59651 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59670 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59686 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59715 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59727 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:59751 - "GET /api/v1/projects/ HTTP/1.1" 200 OK
INFO: Started reloader process [95399] using WatchFiles
2025-09-08 16:04:35,003 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
INFO: Started server process [95407]
INFO: Waiting for application startup.
2025-09-08 16:04:35,184 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:04:35,185 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:04:35,185 - backend.main - INFO - API密钥已加载到环境变量
INFO: Application startup complete.
INFO: 127.0.0.1:54151 - "GET /api/v1/health/ HTTP/1.1" 200 OK
INFO: 127.0.0.1:54154 - "GET /api/v1/health/ HTTP/1.1" 200 OK
INFO: Shutting down
INFO: Waiting for application shutdown.
INFO: Application shutdown complete.
INFO: Finished server process [12779]
2025-08-21 00:40:46,692 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-21 00:40:46,693 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-21 00:40:46,813 - __main__ - INFO - 启动AutoClip API服务...
2025-08-21 00:40:46,814 - __main__ - INFO - 数据库表创建完成
2025-08-21 00:40:46,815 - __main__ - INFO - API密钥已加载到环境变量
2025-08-22 11:02:47,397 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-22 11:02:47,398 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-22 11:02:47,484 - __main__ - INFO - 启动AutoClip API服务...
2025-08-22 11:02:47,484 - __main__ - INFO - 数据库表创建完成
2025-08-22 11:02:47,485 - __main__ - INFO - API密钥已加载到环境变量
2025-08-22 11:03:14,294 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-22 11:03:14,295 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-22 11:03:14,383 - __main__ - INFO - 启动AutoClip API服务...
2025-08-22 11:03:14,384 - __main__ - INFO - 数据库表创建完成
2025-08-22 11:03:14,384 - __main__ - INFO - API密钥已加载到环境变量
2025-08-22 11:03:29,038 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-22 11:03:29,038 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-22 11:03:29,281 - __main__ - INFO - 启动AutoClip API服务...
2025-08-22 11:03:29,285 - __main__ - INFO - 数据库表创建完成
2025-08-22 11:03:29,286 - __main__ - INFO - API密钥已加载到环境变量
2025-08-22 11:03:43,570 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-22 11:03:43,570 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-22 11:03:43,657 - __main__ - INFO - 启动AutoClip API服务...
2025-08-22 11:03:43,658 - __main__ - INFO - 数据库表创建完成
2025-08-22 11:03:43,658 - __main__ - INFO - API密钥已加载到环境变量
2025-08-26 00:27:36,906 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-26 00:27:36,906 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-26 00:27:36,997 - __main__ - INFO - 启动AutoClip API服务...
2025-08-26 00:27:36,998 - __main__ - INFO - 数据库表创建完成
2025-08-26 00:27:36,998 - __main__ - INFO - API密钥已加载到环境变量
2025-08-26 00:29:12,285 - api.v1.projects - INFO - 查找clip视频: clip_id=1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c
2025-08-26 00:29:12,285 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:29:12,285 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:29:12,285 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c_clip_1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c.mp4']
2025-08-26 00:29:12,286 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:29:12,286 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:29:12,286 - api.v1.projects - INFO - 在全局目录中找到的视频文件: []
2025-08-26 00:29:12,286 - api.v1.projects - ERROR - 没有找到clip_id=1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c的视频文件
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 查找clip视频: clip_id=1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c_clip_1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c.mp4']
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:29:59,228 - api.v1.projects - INFO - 在全局目录中找到的视频文件: []
2025-08-26 00:29:59,228 - api.v1.projects - ERROR - 没有找到clip_id=1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c的视频文件
2025-08-26 00:30:16,752 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-26 00:30:16,752 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-26 00:30:16,835 - __main__ - INFO - 启动AutoClip API服务...
2025-08-26 00:30:16,836 - __main__ - INFO - 数据库表创建完成
2025-08-26 00:30:16,836 - __main__ - INFO - API密钥已加载到环境变量
2025-08-26 00:30:21,174 - api.v1.projects - INFO - 查找clip视频: clip_id=1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c, title=Jackson Wang开场合集:我们是外星人?未来视角大开篇
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c_clip_1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c.mp4']
2025-08-26 00:30:21,175 - api.v1.projects - WARNING - 视频文件为空或不存在: 1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c_clip_1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c.mp4
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:21,175 - api.v1.projects - INFO - 尝试根据标题查找: Jackson Wang开场合集:我们是外星人?未来视角大开篇
2025-08-26 00:30:21,176 - api.v1.projects - INFO - 根据标题找到视频文件: 1_Jackson Wang开场合集:我们是外星人?未来视角大开篇.mp4
2025-08-26 00:30:43,990 - services.pipeline_adapter - INFO - Pipeline适配器初始化完成: project_root=/Users/zhoukk/autoclip, data_dir=/Users/zhoukk/autoclip/data, output_dir=/Users/zhoukk/autoclip/data/output
2025-08-26 00:30:44,002 - api.v1.projects - INFO - 查找clip视频: clip_id=3d0bb0b6-dd8d-4105-9219-b1bce74c7b4a, title=相信自己、依靠直觉,这是你想传给下一代的人生信条吗?
2025-08-26 00:30:44,025 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,026 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,027 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['3d0bb0b6-dd8d-4105-9219-b1bce74c7b4a_clip_3d0bb0b6-dd8d-4105-9219-b1bce74c7b4a.mp4']
2025-08-26 00:30:44,028 - api.v1.projects - WARNING - 视频文件为空或不存在: 3d0bb0b6-dd8d-4105-9219-b1bce74c7b4a_clip_3d0bb0b6-dd8d-4105-9219-b1bce74c7b4a.mp4
2025-08-26 00:30:44,031 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,032 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,032 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,033 - api.v1.projects - INFO - 尝试根据标题查找: 相信自己、依靠直觉,这是你想传给下一代的人生信条吗?
2025-08-26 00:30:44,033 - api.v1.projects - INFO - 根据标题找到视频文件: 7_相信自己、依靠直觉,这是你想传给下一代的人生信条吗?.mp4
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 查找clip视频: clip_id=ac0b2b4c-3ea5-474a-92c5-d3f782ff134e, title=父母回家的画面让他一生难忘,这背后藏着多少感动?
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['ac0b2b4c-3ea5-474a-92c5-d3f782ff134e_clip_ac0b2b4c-3ea5-474a-92c5-d3f782ff134e.mp4']
2025-08-26 00:30:44,035 - api.v1.projects - WARNING - 视频文件为空或不存在: ac0b2b4c-3ea5-474a-92c5-d3f782ff134e_clip_ac0b2b4c-3ea5-474a-92c5-d3f782ff134e.mp4
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,035 - api.v1.projects - INFO - 尝试根据标题查找: 父母回家的画面让他一生难忘,这背后藏着多少感动?
2025-08-26 00:30:44,036 - api.v1.projects - INFO - 根据标题找到视频文件: 9_父母回家的画面让他一生难忘,这背后藏着多少感动?.mp4
2025-08-26 00:30:44,036 - api.v1.projects - INFO - 查找clip视频: clip_id=325a2e1f-b7c3-4688-a94d-3dbd919a3ddf, title=从艺人到朋友,Jackson Wang对粉丝的爱有多坚定?
2025-08-26 00:30:44,036 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,036 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,036 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['325a2e1f-b7c3-4688-a94d-3dbd919a3ddf_clip_325a2e1f-b7c3-4688-a94d-3dbd919a3ddf.mp4']
2025-08-26 00:30:44,036 - api.v1.projects - WARNING - 视频文件为空或不存在: 325a2e1f-b7c3-4688-a94d-3dbd919a3ddf_clip_325a2e1f-b7c3-4688-a94d-3dbd919a3ddf.mp4
2025-08-26 00:30:44,037 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,037 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,037 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,037 - api.v1.projects - INFO - 尝试根据标题查找: 从艺人到朋友,Jackson Wang对粉丝的爱有多坚定?
2025-08-26 00:30:44,037 - api.v1.projects - INFO - 根据标题找到视频文件: 10_从艺人到朋友,Jackson Wang对粉丝的爱有多坚定?.mp4
2025-08-26 00:30:44,039 - api.v1.projects - INFO - 查找clip视频: clip_id=f7af86c3-7a32-4821-b341-f04841820bf4, title=致敬MJ、王子和詹姆斯·布朗,这才是真正的艺术传承
2025-08-26 00:30:44,039 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,039 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,039 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['f7af86c3-7a32-4821-b341-f04841820bf4_clip_f7af86c3-7a32-4821-b341-f04841820bf4.mp4']
2025-08-26 00:30:44,039 - api.v1.projects - WARNING - 视频文件为空或不存在: f7af86c3-7a32-4821-b341-f04841820bf4_clip_f7af86c3-7a32-4821-b341-f04841820bf4.mp4
2025-08-26 00:30:44,040 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,040 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,040 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,040 - api.v1.projects - INFO - 尝试根据标题查找: 致敬MJ、王子和詹姆斯·布朗,这才是真正的艺术传承
2025-08-26 00:30:44,040 - api.v1.projects - INFO - 根据标题找到视频文件: 4_致敬MJ、王子和詹姆斯·布朗,这才是真正的艺术传承.mp4
2025-08-26 00:30:44,042 - api.v1.projects - INFO - 查找clip视频: clip_id=1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c, title=Jackson Wang开场合集:我们是外星人?未来视角大开篇
2025-08-26 00:30:44,042 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,042 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,043 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c_clip_1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c.mp4']
2025-08-26 00:30:44,043 - api.v1.projects - WARNING - 视频文件为空或不存在: 1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c_clip_1bcc6de5-8d03-47bb-80e3-c6ef9a201a3c.mp4
2025-08-26 00:30:44,043 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,043 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,043 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,043 - api.v1.projects - INFO - 尝试根据标题查找: Jackson Wang开场合集:我们是外星人?未来视角大开篇
2025-08-26 00:30:44,043 - api.v1.projects - INFO - 根据标题找到视频文件: 1_Jackson Wang开场合集:我们是外星人?未来视角大开篇.mp4
2025-08-26 00:30:44,045 - api.v1.projects - INFO - 查找clip视频: clip_id=678a8c4b-16ac-4893-a8d9-1b28c3bb4c81, title=专注、真实、诚实,这三个词能描述你的Mindset吗?
2025-08-26 00:30:44,046 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,046 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,046 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['678a8c4b-16ac-4893-a8d9-1b28c3bb4c81_clip_678a8c4b-16ac-4893-a8d9-1b28c3bb4c81.mp4']
2025-08-26 00:30:44,046 - api.v1.projects - WARNING - 视频文件为空或不存在: 678a8c4b-16ac-4893-a8d9-1b28c3bb4c81_clip_678a8c4b-16ac-4893-a8d9-1b28c3bb4c81.mp4
2025-08-26 00:30:44,047 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,047 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,047 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,047 - api.v1.projects - INFO - 尝试根据标题查找: 专注、真实、诚实,这三个词能描述你的Mindset吗?
2025-08-26 00:30:44,047 - api.v1.projects - INFO - 根据标题找到视频文件: 2_专注、真实、诚实,这三个词能描述你的Mindset吗?.mp4
2025-08-26 00:30:44,091 - api.v1.projects - INFO - 查找clip视频: clip_id=0dd5616b-1d39-4118-bb15-580633e59932, title=如果可以选择时代,他宁愿等500年后再生活
2025-08-26 00:30:44,092 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,092 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,093 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['0dd5616b-1d39-4118-bb15-580633e59932_clip_0dd5616b-1d39-4118-bb15-580633e59932.mp4']
2025-08-26 00:30:44,094 - api.v1.projects - WARNING - 视频文件为空或不存在: 0dd5616b-1d39-4118-bb15-580633e59932_clip_0dd5616b-1d39-4118-bb15-580633e59932.mp4
2025-08-26 00:30:44,094 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,094 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,094 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,094 - api.v1.projects - INFO - 尝试根据标题查找: 如果可以选择时代,他宁愿等500年后再生活
2025-08-26 00:30:44,094 - api.v1.projects - INFO - 根据标题找到视频文件: 5_如果可以选择时代,他宁愿等500年后再生活.mp4
2025-08-26 00:30:44,101 - api.v1.projects - INFO - 查找clip视频: clip_id=94512d2e-87ca-41fc-9405-903433f88a6e, title=想和蜘蛛侠拍特技?Jackson Wang这些隐藏技能你绝对想不到
2025-08-26 00:30:44,102 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,102 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,103 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['94512d2e-87ca-41fc-9405-903433f88a6e_clip_94512d2e-87ca-41fc-9405-903433f88a6e.mp4']
2025-08-26 00:30:44,103 - api.v1.projects - WARNING - 视频文件为空或不存在: 94512d2e-87ca-41fc-9405-903433f88a6e_clip_94512d2e-87ca-41fc-9405-903433f88a6e.mp4
2025-08-26 00:30:44,103 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,104 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,105 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,106 - api.v1.projects - INFO - 尝试根据标题查找: 想和蜘蛛侠拍特技?Jackson Wang这些隐藏技能你绝对想不到
2025-08-26 00:30:44,107 - api.v1.projects - INFO - 根据标题找到视频文件: 8_想和蜘蛛侠拍特技?Jackson Wang这些隐藏技能你绝对想不到.mp4
2025-08-26 00:30:44,119 - api.v1.projects - INFO - 查找clip视频: clip_id=93562f59-dad0-4f3c-b129-69036d1e80a6, title=二十件同款T恤、潜水工作室,Jackson的日常有多真实?
2025-08-26 00:30:44,120 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,120 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,120 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['93562f59-dad0-4f3c-b129-69036d1e80a6_clip_93562f59-dad0-4f3c-b129-69036d1e80a6.mp4']
2025-08-26 00:30:44,120 - api.v1.projects - WARNING - 视频文件为空或不存在: 93562f59-dad0-4f3c-b129-69036d1e80a6_clip_93562f59-dad0-4f3c-b129-69036d1e80a6.mp4
2025-08-26 00:30:44,121 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,121 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,121 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,121 - api.v1.projects - INFO - 尝试根据标题查找: 二十件同款T恤、潜水工作室,Jackson的日常有多真实?
2025-08-26 00:30:44,122 - api.v1.projects - INFO - 根据标题找到视频文件: 6_二十件同款T恤、潜水工作室,Jackson的日常有多真实?.mp4
2025-08-26 00:30:44,173 - api.v1.projects - INFO - 查找clip视频: clip_id=db6241be-29e8-4680-b458-37b74b11441c, title=怕蟑螂却不怕丧尸?Jackson的生存哲学太有道理
2025-08-26 00:30:44,174 - api.v1.projects - INFO - 项目clips目录: /Users/zhoukk/autoclip/data/projects/86f9aa12-2f35-4618-b265-74b3d9a4cf2d/output/clips
2025-08-26 00:30:44,174 - api.v1.projects - INFO - 项目clips目录存在: True
2025-08-26 00:30:44,175 - api.v1.projects - INFO - 在项目目录中找到的视频文件: ['db6241be-29e8-4680-b458-37b74b11441c_clip_db6241be-29e8-4680-b458-37b74b11441c.mp4']
2025-08-26 00:30:44,175 - api.v1.projects - WARNING - 视频文件为空或不存在: db6241be-29e8-4680-b458-37b74b11441c_clip_db6241be-29e8-4680-b458-37b74b11441c.mp4
2025-08-26 00:30:44,176 - api.v1.projects - INFO - 全局clips目录: /Users/zhoukk/autoclip/backend/output/clips
2025-08-26 00:30:44,176 - api.v1.projects - INFO - 全局clips目录存在: True
2025-08-26 00:30:44,177 - api.v1.projects - INFO - 使用clip_id在全局目录中找到的视频文件: []
2025-08-26 00:30:44,177 - api.v1.projects - INFO - 尝试根据标题查找: 怕蟑螂却不怕丧尸?Jackson的生存哲学太有道理
2025-08-26 00:30:44,177 - api.v1.projects - INFO - 根据标题找到视频文件: 3_怕蟑螂却不怕丧尸?Jackson的生存哲学太有道理.mp4
2025-08-26 00:32:44,080 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-26 00:32:44,081 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-26 00:32:44,199 - __main__ - INFO - 启动AutoClip API服务...
2025-08-26 00:32:44,201 - __main__ - INFO - 数据库表创建完成
2025-08-26 00:32:44,201 - __main__ - INFO - API密钥已加载到环境变量
2025-08-26 00:34:07,634 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-26 00:34:07,634 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-26 00:34:07,725 - __main__ - INFO - 启动AutoClip API服务...
2025-08-26 00:34:07,727 - __main__ - INFO - 数据库表创建完成
2025-08-26 00:34:07,727 - __main__ - INFO - API密钥已加载到环境变量
2025-08-26 06:10:57,336 - services.pipeline_adapter - INFO - 流水线模块导入成功
2025-08-26 06:10:57,337 - services.processing_orchestrator - INFO - 流水线模块导入成功
2025-08-26 06:10:57,445 - __main__ - INFO - 启动AutoClip API服务...
2025-08-26 06:10:57,446 - __main__ - INFO - 数据库表创建完成
2025-08-26 06:10:57,447 - __main__ - INFO - API密钥已加载到环境变量
INFO: Finished server process [95407]
INFO: Stopping reloader process [95399]
2025-09-08 16:29:31,680 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:29:32,354 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:29:32,355 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:29:32,355 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:30:03,566 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:30:03,937 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:30:03,938 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:30:03,938 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:32:25,789 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:32:25,965 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:32:25,966 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:32:25,966 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:33:11,660 - backend.api.v1.bilibili - INFO - 开始解析B站视频: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 16:33:12,981 - backend.api.v1.bilibili - INFO - 视频信息解析成功: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:33:20,867 - backend.api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 16:33:23,849 - backend.api.v1.bilibili - ERROR - 处理下载任务失败: 'Settings' object has no attribute 'paths'
2025-09-08 16:34:13,890 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:34:14,151 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:34:14,152 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:34:14,152 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:34:22,387 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:34:22,565 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:34:22,566 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:34:22,566 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:34:27,477 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:34:27,656 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:34:27,657 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:34:27,657 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:34:32,614 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:34:32,784 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:34:32,784 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:34:32,784 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:34:36,898 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:34:37,074 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:34:37,074 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:34:37,075 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:36:13,969 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:36:14,159 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:36:14,160 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:36:14,160 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:37:20,556 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:37:20,791 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:37:20,792 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:37:20,792 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:43:01,600 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:43:01,923 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:43:01,924 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:43:01,924 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:43:17,768 - backend.api.v1.bilibili - INFO - 开始解析B站视频: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 16:43:18,483 - backend.api.v1.bilibili - INFO - 视频信息解析成功: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:43:22,125 - backend.api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 16:43:39,583 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:43:39,586 - backend.utils.bilibili_downloader - INFO - 重命名AI字幕文件: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.ai-zh.srt -> 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.srt
2025-09-08 16:43:39,586 - backend.utils.bilibili_downloader - INFO - 下载完成: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:43:39,590 - backend.api.v1.bilibili - INFO - 视频文件已移动到: /Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.mp4
2025-09-08 16:43:39,590 - backend.api.v1.bilibili - INFO - 字幕文件已移动到: /Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.srt
2025-09-08 16:43:39,591 - backend.api.v1.bilibili - INFO - B站下载任务完成: fbb571f2-5533-4895-b359-fbed13682adc, 项目ID: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:43:39,591 - backend.api.v1.bilibili - INFO - B站项目 ea59bbd8-aaea-45df-a31f-fa6c345fe699 下载完成,等待自动化流水线启动
2025-09-08 16:43:39,591 - backend.api.v1.bilibili - ERROR - 启动B站项目 ea59bbd8-aaea-45df-a31f-fa6c345fe699 自动化流水线失败: this event loop is already running.
2025-09-08 16:43:39,591 - backend.services.auto_pipeline_service - INFO - 自动启动项目流水线: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:43:39,594 - backend.services.auto_pipeline_service - INFO - 创建处理任务: 76af4c4a-b06c-4372-a594-b9fe31c7b9f6
2025-09-08 16:43:39,595 - backend.services.auto_pipeline_service - INFO - 项目 ea59bbd8-aaea-45df-a31f-fa6c345fe699 状态已更新为处理中
2025-09-08 16:43:39,596 - backend.services.progress_update_service - INFO - 开始监控任务进度: 76af4c4a-b06c-4372-a594-b9fe31c7b9f6
2025-09-08 16:43:39,599 - backend.services.auto_pipeline_service - INFO - 准备提交Celery任务: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:43:39,600 - backend.services.auto_pipeline_service - INFO - 视频文件: /Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.mp4
2025-09-08 16:43:39,600 - backend.services.auto_pipeline_service - INFO - 字幕文件: /Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.srt
2025-09-08 16:43:39,600 - backend.utils.task_submission_utils - INFO - 提交视频流水线任务: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:43:39,600 - backend.utils.task_submission_utils - INFO - 准备提交任务到队列...
2025-09-08 16:43:39,600 - backend.utils.task_submission_utils - INFO - 任务名称: backend.tasks.processing.process_video_pipeline
2025-09-08 16:43:39,600 - backend.utils.task_submission_utils - INFO - 任务参数: ['ea59bbd8-aaea-45df-a31f-fa6c345fe699', '/Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.mp4', '/Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.srt']
2025-09-08 16:43:39,655 - backend.utils.task_submission_utils - INFO - 视频流水线任务已提交: b88ab24c-26a9-432b-b96a-e18863480a08
2025-09-08 16:43:39,656 - backend.utils.task_submission_utils - INFO - 任务状态: PENDING
2025-09-08 16:43:39,656 - backend.utils.task_submission_utils - INFO - Redis队列长度: 0
2025-09-08 16:43:39,656 - backend.services.auto_pipeline_service - INFO - Celery任务提交结果: {'success': True, 'task_id': 'b88ab24c-26a9-432b-b96a-e18863480a08', 'status': 'PENDING', 'message': '视频流水线任务已提交'}
2025-09-08 16:43:39,656 - backend.services.auto_pipeline_service - INFO - Celery任务已提交: b88ab24c-26a9-432b-b96a-e18863480a08
2025-09-08 16:53:22,632 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:53:22,862 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:53:22,863 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:53:22,863 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:53:27,929 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:53:28,086 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:53:28,087 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:53:28,087 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:53:44,286 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:53:45,040 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:53:45,042 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:53:45,042 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:54:38,846 - backend.services.auto_pipeline_service - INFO - 自动启动项目流水线: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:54:38,849 - backend.services.auto_pipeline_service - INFO - 创建处理任务: e5581006-150e-4b61-96e0-fa5d8d684ca3
2025-09-08 16:54:38,851 - backend.services.auto_pipeline_service - INFO - 项目 ea59bbd8-aaea-45df-a31f-fa6c345fe699 状态已更新为处理中
2025-09-08 16:54:38,853 - backend.services.progress_update_service - INFO - 开始监控任务进度: e5581006-150e-4b61-96e0-fa5d8d684ca3
2025-09-08 16:54:38,853 - backend.services.auto_pipeline_service - INFO - 准备提交Celery任务: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:54:38,853 - backend.services.auto_pipeline_service - INFO - 视频文件: /Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.mp4
2025-09-08 16:54:38,853 - backend.services.auto_pipeline_service - INFO - 字幕文件: /Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.srt
2025-09-08 16:54:38,853 - backend.utils.task_submission_utils - INFO - 提交视频流水线任务: ea59bbd8-aaea-45df-a31f-fa6c345fe699
2025-09-08 16:54:38,853 - backend.utils.task_submission_utils - INFO - 准备提交任务到队列...
2025-09-08 16:54:38,853 - backend.utils.task_submission_utils - INFO - 任务名称: backend.tasks.processing.process_video_pipeline
2025-09-08 16:54:38,853 - backend.utils.task_submission_utils - INFO - 任务参数: ['ea59bbd8-aaea-45df-a31f-fa6c345fe699', '/Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.mp4', '/Users/zhoukk/autoclip/data/projects/ea59bbd8-aaea-45df-a31f-fa6c345fe699/raw/input.srt']
2025-09-08 16:54:38,881 - backend.utils.task_submission_utils - INFO - 视频流水线任务已提交: dbdfef65-bb86-4205-a3c9-2fe465bd5961
2025-09-08 16:54:38,882 - backend.utils.task_submission_utils - INFO - 任务状态: PENDING
2025-09-08 16:54:38,883 - backend.utils.task_submission_utils - INFO - Redis队列长度: 1
2025-09-08 16:54:38,883 - backend.services.auto_pipeline_service - INFO - Celery任务提交结果: {'success': True, 'task_id': 'dbdfef65-bb86-4205-a3c9-2fe465bd5961', 'status': 'PENDING', 'message': '视频流水线任务已提交'}
2025-09-08 16:54:38,883 - backend.services.auto_pipeline_service - INFO - Celery任务已提交: dbdfef65-bb86-4205-a3c9-2fe465bd5961
2025-09-08 16:56:15,551 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:56:16,303 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:56:16,305 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:56:16,305 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:57:44,741 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 16:57:44,955 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 16:57:44,956 - backend.main - INFO - 数据库表创建完成
2025-09-08 16:57:44,956 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 16:57:52,358 - backend.api.v1.bilibili - INFO - 开始解析B站视频: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 16:57:53,269 - backend.api.v1.bilibili - INFO - 视频信息解析成功: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:57:56,749 - backend.api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 16:58:15,227 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:58:15,228 - backend.utils.bilibili_downloader - INFO - 重命名AI字幕文件: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.ai-zh.srt -> 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.srt
2025-09-08 16:58:15,228 - backend.utils.bilibili_downloader - INFO - 下载完成: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 16:58:15,231 - backend.api.v1.bilibili - INFO - 视频文件已移动到: /Users/zhoukk/autoclip/data/projects/2d6ee4e4-546f-4e4c-8f79-2668daef11e3/raw/input.mp4
2025-09-08 16:58:15,231 - backend.api.v1.bilibili - INFO - 字幕文件已移动到: /Users/zhoukk/autoclip/data/projects/2d6ee4e4-546f-4e4c-8f79-2668daef11e3/raw/input.srt
2025-09-08 16:58:15,232 - backend.api.v1.bilibili - INFO - B站下载任务完成: 05700812-d53f-43c3-8854-92bcfd8172f3, 项目ID: 2d6ee4e4-546f-4e4c-8f79-2668daef11e3
2025-09-08 16:58:15,232 - backend.api.v1.bilibili - INFO - B站项目 2d6ee4e4-546f-4e4c-8f79-2668daef11e3 下载完成,等待自动化流水线启动
2025-09-08 16:58:15,232 - backend.api.v1.bilibili - ERROR - 启动B站项目 2d6ee4e4-546f-4e4c-8f79-2668daef11e3 自动化流水线失败: this event loop is already running.
2025-09-08 16:58:15,233 - backend.services.auto_pipeline_service - INFO - 自动启动项目流水线: 2d6ee4e4-546f-4e4c-8f79-2668daef11e3
2025-09-08 16:58:15,235 - backend.services.auto_pipeline_service - INFO - 创建处理任务: 0f6a48a3-dd6f-4b95-bda8-d0af31f4b760
2025-09-08 16:58:15,236 - backend.services.auto_pipeline_service - INFO - 项目 2d6ee4e4-546f-4e4c-8f79-2668daef11e3 状态已更新为处理中
2025-09-08 16:58:15,237 - backend.services.progress_update_service - INFO - 开始监控任务进度: 0f6a48a3-dd6f-4b95-bda8-d0af31f4b760
2025-09-08 16:58:15,237 - backend.services.auto_pipeline_service - INFO - 准备提交Celery任务: 2d6ee4e4-546f-4e4c-8f79-2668daef11e3
2025-09-08 16:58:15,237 - backend.services.auto_pipeline_service - INFO - 视频文件: /Users/zhoukk/autoclip/data/projects/2d6ee4e4-546f-4e4c-8f79-2668daef11e3/raw/input.mp4
2025-09-08 16:58:15,237 - backend.services.auto_pipeline_service - INFO - 字幕文件: /Users/zhoukk/autoclip/data/projects/2d6ee4e4-546f-4e4c-8f79-2668daef11e3/raw/input.srt
2025-09-08 16:58:15,237 - backend.utils.task_submission_utils - INFO - 提交视频流水线任务: 2d6ee4e4-546f-4e4c-8f79-2668daef11e3
2025-09-08 16:58:15,238 - backend.utils.task_submission_utils - INFO - 准备提交任务到队列...
2025-09-08 16:58:15,238 - backend.utils.task_submission_utils - INFO - 任务名称: backend.tasks.processing.process_video_pipeline
2025-09-08 16:58:15,238 - backend.utils.task_submission_utils - INFO - 任务参数: ['2d6ee4e4-546f-4e4c-8f79-2668daef11e3', '/Users/zhoukk/autoclip/data/projects/2d6ee4e4-546f-4e4c-8f79-2668daef11e3/raw/input.mp4', '/Users/zhoukk/autoclip/data/projects/2d6ee4e4-546f-4e4c-8f79-2668daef11e3/raw/input.srt']
2025-09-08 16:58:15,281 - backend.utils.task_submission_utils - INFO - 视频流水线任务已提交: 39991bd9-3fd1-4d2d-be3a-4a1a625589c1
2025-09-08 16:58:15,282 - backend.utils.task_submission_utils - INFO - 任务状态: PENDING
2025-09-08 16:58:15,282 - backend.utils.task_submission_utils - INFO - Redis队列长度: 0
2025-09-08 16:58:15,282 - backend.services.auto_pipeline_service - INFO - Celery任务提交结果: {'success': True, 'task_id': '39991bd9-3fd1-4d2d-be3a-4a1a625589c1', 'status': 'PENDING', 'message': '视频流水线任务已提交'}
2025-09-08 16:58:15,282 - backend.services.auto_pipeline_service - INFO - Celery任务已提交: 39991bd9-3fd1-4d2d-be3a-4a1a625589c1
2025-09-08 17:03:10,432 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 17:03:10,655 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 17:03:10,657 - backend.main - INFO - 数据库表创建完成
2025-09-08 17:03:10,657 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 17:03:17,369 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 17:03:17,540 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 17:03:17,541 - backend.main - INFO - 数据库表创建完成
2025-09-08 17:03:17,541 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 17:05:17,206 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 17:05:17,900 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 17:05:17,901 - backend.main - INFO - 数据库表创建完成
2025-09-08 17:05:17,901 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 17:05:49,529 - backend.api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1eBYjzTE1r/
2025-09-08 17:05:58,477 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 17:05:58,477 - backend.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 17:05:58,477 - backend.utils.bilibili_downloader - INFO - 第一次字幕下载失败,尝试备用策略...
2025-09-08 17:05:58,477 - backend.utils.bilibili_downloader - INFO - 尝试下载不同语言的字幕...
2025-09-08 17:05:59,119 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:05:59,125 - backend.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:05:59,721 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:05:59,721 - backend.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:06:00,274 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:06:00,275 - backend.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:06:00,971 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:06:00,971 - backend.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_sub
2025-09-08 17:06:00,971 - backend.utils.bilibili_downloader - INFO - 尝试不使用cookies下载字幕...
2025-09-08 17:06:01,526 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_nocookie
2025-09-08 17:06:01,526 - backend.utils.bilibili_downloader - WARNING - 未找到字幕文件,标题: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响_nocookie
2025-09-08 17:06:01,526 - backend.utils.bilibili_downloader - INFO - 尝试从视频元数据提取字幕信息...
2025-09-08 17:06:02,222 - backend.utils.bilibili_downloader - WARNING - 所有字幕获取策略都失败了
2025-09-08 17:06:02,222 - backend.utils.bilibili_downloader - INFO - 下载完成: 【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响
2025-09-08 17:06:02,222 - backend.api.v1.bilibili - INFO - 优先使用Whisper生成高质量字幕
2025-09-08 17:06:02,222 - backend.api.v1.bilibili - INFO - 使用Whisper生成字幕 - 语言: auto, 模型: base
2025-09-08 17:06:03,976 - backend.utils.speech_recognizer - INFO - 开始使用本地Whisper生成字幕: /Users/zhoukk/autoclip/data/temp/【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.mp4
2025-09-08 17:06:03,976 - backend.utils.speech_recognizer - INFO - 执行Whisper命令: whisper /Users/zhoukk/autoclip/data/temp/【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.mp4 --output_dir /Users/zhoukk/autoclip/data/temp --output_format srt --model base
2025-09-08 17:09:16,380 - backend.utils.speech_recognizer - INFO - 本地Whisper字幕生成成功: /Users/zhoukk/autoclip/data/temp/【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.srt
2025-09-08 17:09:16,380 - backend.api.v1.bilibili - INFO - Whisper字幕生成成功: /Users/zhoukk/autoclip/data/temp/【Z哥0907直播】前村长事件---市场噪音解读,对大A会有什么影响.srt
2025-09-08 17:09:16,391 - backend.api.v1.bilibili - INFO - 视频文件已移动到: /Users/zhoukk/autoclip/data/projects/e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785/raw/input.mp4
2025-09-08 17:09:16,391 - backend.api.v1.bilibili - INFO - 字幕文件已移动到: /Users/zhoukk/autoclip/data/projects/e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785/raw/input.srt
2025-09-08 17:09:16,393 - backend.api.v1.bilibili - INFO - B站下载任务完成: 391627c3-3be1-4d83-bc05-f82fffd51462, 项目ID: e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785
2025-09-08 17:09:16,393 - backend.api.v1.bilibili - INFO - B站项目 e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785 下载完成,等待自动化流水线启动
2025-09-08 17:09:16,393 - backend.api.v1.bilibili - ERROR - 启动B站项目 e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785 自动化流水线失败: this event loop is already running.
2025-09-08 17:09:16,393 - backend.services.auto_pipeline_service - INFO - 自动启动项目流水线: e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785
2025-09-08 17:09:16,397 - backend.services.auto_pipeline_service - INFO - 创建处理任务: 9d7444cc-a844-4c05-a1e3-cb37da52e2ba
2025-09-08 17:09:16,398 - backend.services.auto_pipeline_service - INFO - 项目 e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785 状态已更新为处理中
2025-09-08 17:09:16,400 - backend.services.progress_update_service - INFO - 开始监控任务进度: 9d7444cc-a844-4c05-a1e3-cb37da52e2ba
2025-09-08 17:09:16,400 - backend.services.auto_pipeline_service - INFO - 准备提交Celery任务: e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785
2025-09-08 17:09:16,400 - backend.services.auto_pipeline_service - INFO - 视频文件: /Users/zhoukk/autoclip/data/projects/e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785/raw/input.mp4
2025-09-08 17:09:16,400 - backend.services.auto_pipeline_service - INFO - 字幕文件: /Users/zhoukk/autoclip/data/projects/e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785/raw/input.srt
2025-09-08 17:09:16,400 - backend.utils.task_submission_utils - INFO - 提交视频流水线任务: e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785
2025-09-08 17:09:16,400 - backend.utils.task_submission_utils - INFO - 准备提交任务到队列...
2025-09-08 17:09:16,400 - backend.utils.task_submission_utils - INFO - 任务名称: backend.tasks.processing.process_video_pipeline
2025-09-08 17:09:16,400 - backend.utils.task_submission_utils - INFO - 任务参数: ['e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785', '/Users/zhoukk/autoclip/data/projects/e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785/raw/input.mp4', '/Users/zhoukk/autoclip/data/projects/e21fdd3d-e7e0-4fcb-8d7e-42a1c88cc785/raw/input.srt']
2025-09-08 17:09:16,448 - backend.utils.task_submission_utils - INFO - 视频流水线任务已提交: 4e0dd318-87aa-48b4-aa0b-66d62c2b3c25
2025-09-08 17:09:16,448 - backend.utils.task_submission_utils - INFO - 任务状态: PENDING
2025-09-08 17:09:16,449 - backend.utils.task_submission_utils - INFO - Redis队列长度: 0
2025-09-08 17:09:16,449 - backend.services.auto_pipeline_service - INFO - Celery任务提交结果: {'success': True, 'task_id': '4e0dd318-87aa-48b4-aa0b-66d62c2b3c25', 'status': 'PENDING', 'message': '视频流水线任务已提交'}
2025-09-08 17:09:16,449 - backend.services.auto_pipeline_service - INFO - Celery任务已提交: 4e0dd318-87aa-48b4-aa0b-66d62c2b3c25
2025-09-08 17:11:57,189 - backend.services.processing_orchestrator - INFO - 流水线模块导入成功
2025-09-08 17:11:57,417 - backend.main - INFO - 启动AutoClip API服务...
2025-09-08 17:11:57,418 - backend.main - INFO - 数据库表创建完成
2025-09-08 17:11:57,418 - backend.main - INFO - API密钥已加载到环境变量
2025-09-08 17:18:20,836 - backend.api.v1.bilibili - INFO - 开始解析B站视频: https://www.bilibili.com/video/BV1Zmedz4EfA/
2025-09-08 17:18:21,620 - backend.api.v1.bilibili - INFO - 视频信息解析成功: 颜值与智慧双杀:Claude Code华人产品经理Cat Wu的硬核开发哲学
2025-09-08 17:18:25,077 - backend.api.v1.bilibili - INFO - 创建B站下载任务: https://www.bilibili.com/video/BV1Zmedz4EfA/
2025-09-08 17:18:36,081 - backend.utils.bilibili_downloader - INFO - 正在查找字幕文件,标题: 颜值与智慧双杀:Claude Code华人产品经理Cat Wu的硬核开发哲学
2025-09-08 17:18:36,081 - backend.utils.bilibili_downloader - INFO - 重命名AI字幕文件: 颜值与智慧双杀:Claude Code华人产品经理Cat Wu的硬核开发哲学.ai-zh.srt -> 颜值与智慧双杀:Claude Code华人产品经理Cat Wu的硬核开发哲学.srt
2025-09-08 17:18:36,081 - backend.utils.bilibili_downloader - INFO - 下载完成: 颜值与智慧双杀:Claude Code华人产品经理Cat Wu的硬核开发哲学
2025-09-08 17:18:36,086 - backend.api.v1.bilibili - INFO - 视频文件已移动到: /Users/zhoukk/autoclip/data/projects/dafc2875-6c8c-49fd-90c4-b0ba645b2112/raw/input.mp4
2025-09-08 17:18:36,086 - backend.api.v1.bilibili - INFO - 字幕文件已移动到: /Users/zhoukk/autoclip/data/projects/dafc2875-6c8c-49fd-90c4-b0ba645b2112/raw/input.srt
2025-09-08 17:18:36,087 - backend.api.v1.bilibili - INFO - B站下载任务完成: d3cbf3db-762a-40a8-863e-297f828dc85a, 项目ID: dafc2875-6c8c-49fd-90c4-b0ba645b2112
2025-09-08 17:18:36,087 - backend.api.v1.bilibili - INFO - B站项目 dafc2875-6c8c-49fd-90c4-b0ba645b2112 下载完成,等待自动化流水线启动
2025-09-08 17:18:36,087 - backend.api.v1.bilibili - ERROR - 启动B站项目 dafc2875-6c8c-49fd-90c4-b0ba645b2112 自动化流水线失败: this event loop is already running.
2025-09-08 17:18:36,087 - backend.services.auto_pipeline_service - INFO - 自动启动项目流水线: dafc2875-6c8c-49fd-90c4-b0ba645b2112
2025-09-08 17:18:36,090 - backend.services.auto_pipeline_service - INFO - 创建处理任务: 0036a3e7-2fb4-4a78-9c7d-24f4cd4f3c55
2025-09-08 17:18:36,091 - backend.services.auto_pipeline_service - INFO - 项目 dafc2875-6c8c-49fd-90c4-b0ba645b2112 状态已更新为处理中
2025-09-08 17:18:36,092 - backend.services.progress_update_service - INFO - 开始监控任务进度: 0036a3e7-2fb4-4a78-9c7d-24f4cd4f3c55
2025-09-08 17:18:36,092 - backend.services.auto_pipeline_service - INFO - 准备提交Celery任务: dafc2875-6c8c-49fd-90c4-b0ba645b2112
2025-09-08 17:18:36,092 - backend.services.auto_pipeline_service - INFO - 视频文件: /Users/zhoukk/autoclip/data/projects/dafc2875-6c8c-49fd-90c4-b0ba645b2112/raw/input.mp4
2025-09-08 17:18:36,092 - backend.services.auto_pipeline_service - INFO - 字幕文件: /Users/zhoukk/autoclip/data/projects/dafc2875-6c8c-49fd-90c4-b0ba645b2112/raw/input.srt
2025-09-08 17:18:36,092 - backend.utils.task_submission_utils - INFO - 提交视频流水线任务: dafc2875-6c8c-49fd-90c4-b0ba645b2112
2025-09-08 17:18:36,092 - backend.utils.task_submission_utils - INFO - 准备提交任务到队列...
2025-09-08 17:18:36,092 - backend.utils.task_submission_utils - INFO - 任务名称: backend.tasks.processing.process_video_pipeline
2025-09-08 17:18:36,092 - backend.utils.task_submission_utils - INFO - 任务参数: ['dafc2875-6c8c-49fd-90c4-b0ba645b2112', '/Users/zhoukk/autoclip/data/projects/dafc2875-6c8c-49fd-90c4-b0ba645b2112/raw/input.mp4', '/Users/zhoukk/autoclip/data/projects/dafc2875-6c8c-49fd-90c4-b0ba645b2112/raw/input.srt']
2025-09-08 17:18:36,137 - backend.utils.task_submission_utils - INFO - 视频流水线任务已提交: 9599e8de-52ce-48f9-97df-6061fd45c8ad
2025-09-08 17:18:36,138 - backend.utils.task_submission_utils - INFO - 任务状态: PENDING
2025-09-08 17:18:36,138 - backend.utils.task_submission_utils - INFO - Redis队列长度: 0
2025-09-08 17:18:36,138 - backend.services.auto_pipeline_service - INFO - Celery任务提交结果: {'success': True, 'task_id': '9599e8de-52ce-48f9-97df-6061fd45c8ad', 'status': 'PENDING', 'message': '视频流水线任务已提交'}
2025-09-08 17:18:36,138 - backend.services.auto_pipeline_service - INFO - Celery任务已提交: 9599e8de-52ce-48f9-97df-6061fd45c8ad
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@@ -1,25 +1,47 @@
"""
API v1 package for FastAPI routes.
统一管理所有API路由
"""
from fastapi import APIRouter
# 创建主路由器
api_router = APIRouter()
# 导入所有路由模块
from .health import router as health_router
from .projects import router as projects_router
from .clips import router as clips_router
from .collections import router as collections_router
from .tasks import router as tasks_router
from .health import router as health_router
from .processing import router as processing_router
from .websocket import router as websocket_router
from .files import router as files_router
from .settings import router as settings_router
from .bilibili import router as bilibili_router
from .youtube import router as youtube_router
from .speech_recognition import router as speech_recognition_router
from .subtitle_editor import router as subtitle_editor_router
from .upload import router as upload_router
from .progress import router as progress_router
from .pipeline_control import router as pipeline_control_router
api_router = APIRouter(prefix="/v1")
# Include all route modules
api_router.include_router(health_router, tags=["health"])
# 注册所有路由
api_router.include_router(health_router, prefix="/health", tags=["health"])
api_router.include_router(projects_router, prefix="/projects", tags=["projects"])
api_router.include_router(clips_router, prefix="/clips", tags=["clips"])
api_router.include_router(collections_router, prefix="/collections", tags=["collections"])
api_router.include_router(tasks_router, prefix="/tasks", tags=["tasks"])
api_router.include_router(processing_router, tags=["processing"])
api_router.include_router(websocket_router, tags=["websocket"])
api_router.include_router(files_router, tags=["files"])
api_router.include_router(settings_router, prefix="/settings", tags=["settings"])
api_router.include_router(bilibili_router, prefix="/bilibili", tags=["bilibili"])
api_router.include_router(youtube_router, prefix="/youtube", tags=["youtube"])
api_router.include_router(speech_recognition_router, tags=["speech-recognition"])
api_router.include_router(subtitle_editor_router, prefix="/subtitle-editor", tags=["subtitle-editor"])
api_router.include_router(upload_router, tags=["upload"])
api_router.include_router(progress_router, prefix="/progress", tags=["progress"])
api_router.include_router(pipeline_control_router, prefix="/pipeline", tags=["pipeline"])
__all__ = ["api_router"]
+62 -47
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@@ -10,8 +10,8 @@ from pydantic import BaseModel
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent.parent))
from backend.utils.bilibili_downloader import BilibiliDownloader, get_bilibili_video_info
from core.config import get_data_directory
from ...utils.bilibili_downloader import BilibiliDownloader, get_bilibili_video_info
from ...core.config import get_data_directory
from pathlib import Path
import uuid
import asyncio
@@ -154,7 +154,7 @@ async def process_download_task(task_id: str, request: BilibiliDownloadRequest):
download_dir = data_dir / "temp"
download_dir.mkdir(exist_ok=True)
from backend.utils.bilibili_downloader import download_bilibili_video
from ...utils.bilibili_downloader import download_bilibili_video
download_result = await download_bilibili_video(
request.url,
download_dir,
@@ -164,27 +164,52 @@ async def process_download_task(task_id: str, request: BilibiliDownloadRequest):
video_path = download_result.get('video_path', '')
subtitle_path = download_result.get('subtitle_path', '')
# 如果没有字幕文件,尝试生成字幕
# 如果没有字幕文件,优先使用Whisper生成字幕
if not subtitle_path and video_path:
logger.warning("未找到字幕文件,尝试生成字幕")
logger.info("优先使用Whisper生成高质量字幕")
try:
from backend.utils.speech_recognizer import generate_subtitle_for_video, SpeechRecognitionError
from ...utils.speech_recognizer import generate_subtitle_for_video, SpeechRecognitionError
from pathlib import Path
video_file_path = Path(video_path)
generated_subtitle = generate_subtitle_for_video(video_file_path)
# 根据视频信息选择合适的模型
model = "base" # 默认使用平衡模型
language = "auto" # 默认自动检测语言
# 可以根据视频标题或描述判断内容类型
if video_info.title and any(keyword in video_info.title.lower() for keyword in ['教程', '教学', '知识', '科普']):
model = "small" # 知识类内容使用更准确的模型
language = "zh"
elif video_info.title and any(keyword in video_info.title.lower() for keyword in ['演讲', '讲座', '分享']):
model = "medium" # 演讲内容使用高精度模型
language = "zh"
logger.info(f"使用Whisper生成字幕 - 语言: {language}, 模型: {model}")
generated_subtitle = generate_subtitle_for_video(
video_file_path,
language=language,
model=model
)
subtitle_path = str(generated_subtitle)
logger.info(f"字幕生成成功: {subtitle_path}")
logger.info(f"Whisper字幕生成成功: {subtitle_path}")
except SpeechRecognitionError as e:
logger.error(f"语音识别失败: {e}")
# 语音识别失败,但不影响下载任务,只是没有字幕
logger.error(f"Whisper字幕生成失败: {e}")
# Whisper失败时,可以考虑尝试下载平台字幕作为备用
logger.info("尝试下载平台字幕作为备用方案")
try:
# 这里可以添加下载平台字幕的逻辑
pass
except Exception as backup_error:
logger.error(f"备用字幕获取也失败: {backup_error}")
except Exception as e:
logger.error(f"生成字幕失败: {e}")
logger.error(f"生成字幕过程中发生未知错误: {e}")
download_tasks[task_id].progress = 80.0
# 创建项目
from services.project_service import ProjectService
from core.database import SessionLocal
from ...services.project_service import ProjectService
from ...core.database import SessionLocal
db = SessionLocal()
try:
@@ -209,14 +234,14 @@ async def process_download_task(task_id: str, request: BilibiliDownloadRequest):
}
# 创建项目数据
from schemas.project import ProjectCreate
from ...schemas.project import ProjectCreate
project_create_data = ProjectCreate(
name=project_data["name"],
description=project_data["description"],
project_type=project_data["project_type"],
source_url=project_data["source_url"],
source_file=project_data["source_file"],
video_path=project_data["source_file"], # 映射到video_path
settings=project_data["settings"]
)
@@ -269,46 +294,36 @@ async def process_download_task(task_id: str, request: BilibiliDownloadRequest):
# 自动启动处理流程
try:
# 更新项目状态为处理中
from schemas.project import ProjectStatus
project.status = ProjectStatus.PROCESSING
# 更新项目状态为等待处理
from ...schemas.project import ProjectStatus
project.status = ProjectStatus.PENDING # 改为PENDING,让自动化服务启动
db.commit()
# 提交Celery任务
logger.info(f"准备提交Celery任务: {project.id}")
from tasks.processing import process_video_pipeline
logger.info(f"B站项目 {project.id} 下载完成,等待自动化流水线启动")
# 准备处理参数
input_video_path = str(new_video_path) if video_path else ""
input_srt_path = str(new_subtitle_path) if subtitle_path and subtitle_path.strip() else ""
# 异步启动自动化流水线
import asyncio
from ...services.auto_pipeline_service import auto_pipeline_service
celery_task = process_video_pipeline.delay(
project_id=str(project.id),
input_video_path=input_video_path,
input_srt_path=input_srt_path
# 创建事件循环来运行异步函数
try:
loop = asyncio.get_event_loop()
except RuntimeError:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
# 启动自动化流水线
pipeline_result = loop.run_until_complete(
auto_pipeline_service.auto_start_pipeline(str(project.id))
)
logger.info(f"Celery任务已提交: {celery_task.id}")
# 创建处理任务记录
from models.task import Task, TaskType, TaskStatus
task = Task(
name=f"B站视频处理流水线",
description=f"处理B站项目 {project.id} 的完整视频流水线",
task_type=TaskType.VIDEO_PROCESSING,
project_id=str(project.id),
celery_task_id=celery_task.id,
status=TaskStatus.RUNNING,
progress=0,
current_step="初始化",
total_steps=6
)
db.add(task)
db.commit()
logger.info(f"B站项目 {project.id} 处理任务已启动,Celery任务ID: {celery_task.id}")
if pipeline_result['status'] == 'started':
logger.info(f"B站项目 {project.id} 自动化流水线已启动: {pipeline_result}")
else:
logger.warning(f"B站项目 {project.id} 自动化流水线启动结果: {pipeline_result}")
except Exception as e:
logger.error(f"启动B站项目 {project.id} 处理失败: {str(e)}")
logger.error(f"启动B站项目 {project.id} 自动化流水线失败: {str(e)}")
# 即使处理启动失败,也要返回下载成功
# 用户可以通过重试按钮重新启动处理
+10 -10
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@@ -5,11 +5,11 @@
from typing import List, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from core.database import get_db
from services.clip_service import ClipService
from schemas.clip import ClipCreate, ClipUpdate, ClipResponse, ClipListResponse, ClipStatus, ClipFilter
from schemas.base import PaginationParams
from models.clip import Clip
from ...core.database import get_db
from ...services.clip_service import ClipService
from ...schemas.clip import ClipCreate, ClipUpdate, ClipResponse, ClipListResponse, ClipStatus, ClipFilter
from ...schemas.base import PaginationParams
from ...models.clip import Clip
import logging
logger = logging.getLogger(__name__)
@@ -137,10 +137,10 @@ async def cleanup_duplicate_clips(
):
"""清理项目中的重复切片数据"""
try:
from models.project import Project
from ...models.project import Project
import json
from pathlib import Path
from core.config import get_data_directory
from ...core.config import get_data_directory
# 获取项目
project = db.query(Project).filter(Project.id == project_id).first()
@@ -212,10 +212,10 @@ async def resync_project_clips(
):
"""重新同步项目的切片数据"""
try:
from models.project import Project
from services.data_sync_service import DataSyncService
from ...models.project import Project
from ...services.data_sync_service import DataSyncService
from pathlib import Path
from core.config import get_data_directory
from ...core.config import get_data_directory
# 获取项目
project = db.query(Project).filter(Project.id == project_id).first()
+8 -8
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@@ -5,10 +5,10 @@
from typing import List, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from core.database import get_db
from services.collection_service import CollectionService
from schemas.collection import CollectionCreate, CollectionUpdate, CollectionResponse, CollectionListResponse
from schemas.base import PaginationParams
from ...core.database import get_db
from ...services.collection_service import CollectionService
from ...schemas.collection import CollectionCreate, CollectionUpdate, CollectionResponse, CollectionListResponse
from ...schemas.base import PaginationParams
router = APIRouter()
@@ -56,8 +56,8 @@ async def get_collections(
):
"""Get paginated collections."""
try:
from schemas.base import PaginationParams
from schemas.collection import CollectionFilter
from ...schemas.base import PaginationParams
from ...schemas.collection import CollectionFilter
pagination = PaginationParams(page=page, size=size)
@@ -95,7 +95,7 @@ async def get_collection(
# 如果需要完整内容,从文件系统获取
full_content = None
if include_content:
from repositories.collection_repository import CollectionRepository
from ...repositories.collection_repository import CollectionRepository
collection_repo = CollectionRepository(collection_service.db)
full_content = collection_repo.get_collection_content(collection_id)
@@ -204,7 +204,7 @@ async def reorder_collection_clips(
# 直接更新数据库中的collection_metadata字段
from sqlalchemy import update
from models.collection import Collection
from ...models.collection import Collection
stmt = update(Collection).where(Collection.id == collection_id).values(
collection_metadata=metadata
+108 -7
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@@ -12,11 +12,11 @@ from pathlib import Path
import shutil
import uuid
from core.database import get_db
from services.storage_service import StorageService
from models.project import Project
from models.clip import Clip
from models.collection import Collection
from ...core.database import get_db
from ...services.storage_service import StorageService
from ...models.project import Project
from ...models.clip import Clip
from ...models.collection import Collection
logger = logging.getLogger(__name__)
@@ -118,7 +118,7 @@ async def get_clip_content(
raise HTTPException(status_code=404, detail="切片不存在")
# 从文件系统获取完整内容
from repositories.clip_repository import ClipRepository
from ...repositories.clip_repository import ClipRepository
clip_repo = ClipRepository(db)
content = clip_repo.get_clip_content(clip_id)
@@ -160,7 +160,7 @@ async def get_collection_content(
raise HTTPException(status_code=404, detail="合集不存在")
# 从文件系统获取完整内容
from repositories.collection_repository import CollectionRepository
from ...repositories.collection_repository import CollectionRepository
collection_repo = CollectionRepository(db)
content = collection_repo.get_collection_content(collection_id)
@@ -220,6 +220,57 @@ async def download_clip_file(
logger.error(f"下载切片文件失败: {e}")
raise HTTPException(status_code=500, detail=f"下载切片文件失败: {str(e)}")
@router.get("/projects/{project_id}/clips/{clip_id}")
async def get_project_clip_video(
project_id: str,
clip_id: str,
db: Session = Depends(get_db)
):
"""
获取项目切片视频(支持前端播放)
- 支持按项目ID和切片ID获取视频
- 返回视频文件流,支持在线播放
"""
try:
# 验证项目是否存在
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 获取切片记录
clip = db.query(Clip).filter(Clip.id == clip_id).first()
if not clip:
raise HTTPException(status_code=404, detail="切片不存在")
# 验证切片是否属于该项目
if clip.project_id != project_id:
raise HTTPException(status_code=403, detail="切片不属于该项目")
if not clip.video_path:
raise HTTPException(status_code=404, detail="切片文件不存在")
file_path = Path(clip.video_path)
if not file_path.exists():
raise HTTPException(status_code=404, detail="切片文件不存在")
# 返回视频文件,支持在线播放
return FileResponse(
path=str(file_path),
filename=f"clip_{clip_id}.mp4",
media_type="video/mp4",
headers={
"Accept-Ranges": "bytes", # 支持范围请求,便于视频播放
"Cache-Control": "public, max-age=3600" # 缓存1小时
}
)
except HTTPException:
raise
except Exception as e:
logger.error(f"获取项目切片视频失败: {e}")
raise HTTPException(status_code=500, detail=f"获取项目切片视频失败: {str(e)}")
@router.get("/collections/{collection_id}/download")
async def download_collection_file(
collection_id: str,
@@ -256,6 +307,56 @@ async def download_collection_file(
logger.error(f"下载合集文件失败: {e}")
raise HTTPException(status_code=500, detail=f"下载合集文件失败: {str(e)}")
@router.get("/projects/{project_id}/collections/{collection_id}")
async def get_project_collection_video(
project_id: str,
collection_id: str,
db: Session = Depends(get_db)
):
"""
获取项目合集视频(支持前端播放)
- 支持按项目ID和合集ID获取视频
- 返回视频文件流,支持在线播放
"""
try:
# 验证项目是否存在
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 获取合集记录
collection = db.query(Collection).filter(Collection.id == collection_id).first()
if not collection:
raise HTTPException(status_code=404, detail="合集不存在")
# 验证合集是否属于该项目(如果有project_id字段的话)
# 注意:这里假设Collection模型有project_id字段,如果没有需要调整
if not collection.export_path:
raise HTTPException(status_code=404, detail="合集文件不存在")
file_path = Path(collection.export_path)
if not file_path.exists():
raise HTTPException(status_code=404, detail="合集文件不存在")
# 返回视频文件,支持在线播放
return FileResponse(
path=str(file_path),
filename=f"collection_{collection_id}.mp4",
media_type="video/mp4",
headers={
"Accept-Ranges": "bytes", # 支持范围请求,便于视频播放
"Cache-Control": "public, max-age=3600" # 缓存1小时
}
)
except HTTPException:
raise
except Exception as e:
logger.error(f"获取项目合集视频失败: {e}")
raise HTTPException(status_code=500, detail=f"获取项目合集视频失败: {str(e)}")
@router.get("/projects/{project_id}/storage-info")
async def get_project_storage_info(
project_id: str,
+269
View File
@@ -0,0 +1,269 @@
"""
流水线控制API
提供手动启动、停止和查询流水线状态的功能
"""
from fastapi import APIRouter, HTTPException, Depends, BackgroundTasks
from sqlalchemy.orm import Session
from typing import Dict, Any, List
from ...core.database import get_db
from ...models.project import Project, ProjectStatus
from ...models.task import Task, TaskStatus
from ...services.auto_pipeline_service import auto_pipeline_service
from ...services.progress_update_service import progress_update_service
import asyncio
from datetime import datetime
import logging
logger = logging.getLogger(__name__)
router = APIRouter()
@router.post("/start/{project_id}")
async def start_pipeline(
project_id: str,
background_tasks: BackgroundTasks,
db: Session = Depends(get_db)
):
"""手动启动项目流水线"""
try:
# 检查项目是否存在
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise HTTPException(status_code=404, detail="Project not found")
# 检查项目状态
if project.status == ProjectStatus.PROCESSING:
return {"status": "skipped", "message": "项目已在处理中"}
if project.status == ProjectStatus.COMPLETED:
return {"status": "skipped", "message": "项目已完成"}
# 检查是否有运行中的任务
running_task = db.query(Task).filter(
Task.project_id == project_id,
Task.status.in_([TaskStatus.PENDING, TaskStatus.RUNNING])
).first()
if running_task and running_task.status == TaskStatus.RUNNING:
return {"status": "skipped", "message": "项目已有运行中的任务"}
# 在后台启动流水线
background_tasks.add_task(
auto_pipeline_service.auto_start_pipeline,
project_id
)
return {
"status": "started",
"message": "流水线启动任务已提交",
"project_id": project_id
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"启动流水线失败: {str(e)}")
@router.post("/stop/{project_id}")
async def stop_pipeline(project_id: str, db: Session = Depends(get_db)):
"""停止项目流水线"""
try:
# 检查项目是否存在
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise HTTPException(status_code=404, detail="Project not found")
# 查找运行中的任务
running_tasks = db.query(Task).filter(
Task.project_id == project_id,
Task.status.in_([TaskStatus.PENDING, TaskStatus.RUNNING])
).all()
if not running_tasks:
return {"status": "skipped", "message": "没有运行中的任务"}
# 停止所有运行中的任务
stopped_count = 0
for task in running_tasks:
task.status = TaskStatus.CANCELLED
task.updated_at = datetime.utcnow()
# 通过进度更新服务通知任务停止
try:
await progress_update_service.complete_task(
task_id=task.id,
error="任务被手动停止"
)
except Exception as e:
logger.warning(f"通知任务停止失败: {e}")
stopped_count += 1
# 更新项目状态
project.status = ProjectStatus.PENDING
project.updated_at = datetime.utcnow()
db.commit()
return {
"status": "stopped",
"message": f"已停止 {stopped_count} 个任务",
"project_id": project_id,
"stopped_tasks": stopped_count
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"停止流水线失败: {str(e)}")
@router.post("/restart/{project_id}")
async def restart_pipeline(
project_id: str,
background_tasks: BackgroundTasks,
db: Session = Depends(get_db)
):
"""重启项目流水线"""
try:
# 先停止现有流水线
stop_result = await stop_pipeline(project_id, db)
# 等待一下确保停止完成
import time
time.sleep(2)
# 重新启动流水线
start_result = await start_pipeline(project_id, background_tasks, db)
return {
"status": "restarted",
"message": "流水线已重启",
"project_id": project_id,
"stop_result": stop_result,
"start_result": start_result
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"重启流水线失败: {str(e)}")
@router.get("/status/{project_id}")
async def get_pipeline_status(project_id: str, db: Session = Depends(get_db)):
"""获取项目流水线状态"""
try:
# 检查项目是否存在
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise HTTPException(status_code=404, detail="Project not found")
# 获取项目任务
tasks = db.query(Task).filter(Task.project_id == project_id).all()
# 获取实时进度信息
task_statuses = []
for task in tasks:
realtime_progress = progress_update_service.get_task_progress(task.id)
task_info = {
'id': task.id,
'name': task.name,
'status': task.status,
'progress': task.progress,
'current_step': task.current_step,
'created_at': task.created_at.isoformat() if task.created_at else None,
'started_at': task.started_at.isoformat() if task.started_at else None,
'completed_at': task.completed_at.isoformat() if task.completed_at else None,
'updated_at': task.updated_at.isoformat() if task.updated_at else None
}
if realtime_progress:
task_info.update({
'realtime_progress': realtime_progress['progress'],
'realtime_step': realtime_progress['current_step'],
'step_details': realtime_progress.get('step_details')
})
task_statuses.append(task_info)
return {
'project_id': project_id,
'project_status': project.status,
'tasks': task_statuses,
'total_tasks': len(tasks),
'running_tasks': len([t for t in tasks if t.status in [TaskStatus.PENDING, TaskStatus.RUNNING]]),
'completed_tasks': len([t for t in tasks if t.status == TaskStatus.COMPLETED]),
'failed_tasks': len([t for t in tasks if t.status == TaskStatus.FAILED])
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"获取流水线状态失败: {str(e)}")
@router.get("/overview")
async def get_pipeline_overview(db: Session = Depends(get_db)):
"""获取所有流水线概览"""
try:
# 获取所有项目
projects = db.query(Project).all()
overview = {
'total_projects': len(projects),
'processing_projects': 0,
'completed_projects': 0,
'failed_projects': 0,
'pending_projects': 0,
'project_details': []
}
for project in projects:
# 获取项目任务统计
tasks = db.query(Task).filter(Task.project_id == project.id).all()
project_info = {
'id': project.id,
'name': project.name,
'status': project.status,
'total_tasks': len(tasks),
'running_tasks': len([t for t in tasks if t.status in [TaskStatus.PENDING, TaskStatus.RUNNING]]),
'completed_tasks': len([t for t in tasks if t.status == TaskStatus.COMPLETED]),
'failed_tasks': len([t for t in tasks if t.status == TaskStatus.FAILED])
}
overview['project_details'].append(project_info)
# 统计项目状态
if project.status == ProjectStatus.PROCESSING:
overview['processing_projects'] += 1
elif project.status == ProjectStatus.COMPLETED:
overview['completed_projects'] += 1
elif project.status == ProjectStatus.FAILED:
overview['failed_projects'] += 1
elif project.status == ProjectStatus.PENDING:
overview['pending_projects'] += 1
# 获取自动化服务状态
auto_service_status = auto_pipeline_service.get_processing_status()
overview['auto_service'] = auto_service_status
return overview
except Exception as e:
raise HTTPException(status_code=500, detail=f"获取流水线概览失败: {str(e)}")
@router.post("/auto-start-all")
async def auto_start_all_pending_pipelines(background_tasks: BackgroundTasks):
"""自动启动所有等待中的流水线"""
try:
# 在后台启动所有等待中的项目
background_tasks.add_task(
auto_pipeline_service.auto_start_all_pending_pipelines
)
return {
"status": "started",
"message": "自动启动所有等待中流水线的任务已提交"
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"自动启动失败: {str(e)}")
+2 -2
View File
@@ -5,8 +5,8 @@
from typing import List, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from core.database import get_db
from services.processing_service import ProcessingService
from ...core.database import get_db
from ...services.processing_service import ProcessingService
router = APIRouter()
+157
View File
@@ -0,0 +1,157 @@
"""
任务进度查询API
提供实时任务进度查询功能
"""
from fastapi import APIRouter, HTTPException, Depends
from sqlalchemy.orm import Session
from typing import List, Dict, Any
from ...core.database import get_db
from ...models.task import Task, TaskStatus
from ...services.progress_update_service import progress_update_service
from datetime import datetime
router = APIRouter()
@router.get("/task/{task_id}")
async def get_task_progress(task_id: str, db: Session = Depends(get_db)):
"""获取指定任务的进度"""
try:
# 从数据库获取任务信息
task = db.query(Task).filter(Task.id == task_id).first()
if not task:
raise HTTPException(status_code=404, detail="Task not found")
# 获取实时进度信息
realtime_progress = progress_update_service.get_task_progress(task_id)
response = {
'id': task.id,
'project_id': task.project_id,
'name': task.name,
'status': task.status,
'progress': task.progress,
'current_step': task.current_step,
'created_at': task.created_at.isoformat() if task.created_at else None,
'started_at': task.started_at.isoformat() if task.started_at else None,
'completed_at': task.completed_at.isoformat() if task.completed_at else None,
'updated_at': task.updated_at.isoformat() if task.updated_at else None
}
# 如果有实时进度信息,合并进去
if realtime_progress:
response.update({
'realtime_progress': realtime_progress['progress'],
'realtime_step': realtime_progress['current_step'],
'step_details': realtime_progress.get('step_details'),
'last_update': realtime_progress['updated_at'].isoformat()
})
return response
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
@router.get("/project/{project_id}")
async def get_project_tasks_progress(project_id: str, db: Session = Depends(get_db)):
"""获取指定项目的所有任务进度"""
try:
# 获取项目的所有任务
tasks = db.query(Task).filter(Task.project_id == project_id).all()
tasks_progress = []
for task in tasks:
# 获取实时进度信息
realtime_progress = progress_update_service.get_task_progress(task.id)
task_info = {
'id': task.id,
'name': task.name,
'status': task.status,
'progress': task.progress,
'current_step': task.current_step,
'created_at': task.created_at.isoformat() if task.created_at else None,
'started_at': task.started_at.isoformat() if task.started_at else None,
'completed_at': task.completed_at.isoformat() if task.completed_at else None,
'updated_at': task.updated_at.isoformat() if task.updated_at else None
}
# 如果有实时进度信息,合并进去
if realtime_progress:
task_info.update({
'realtime_progress': realtime_progress['progress'],
'realtime_step': realtime_progress['current_step'],
'step_details': realtime_progress.get('step_details'),
'last_update': realtime_progress['updated_at'].isoformat()
})
tasks_progress.append(task_info)
return {
'project_id': project_id,
'tasks': tasks_progress,
'total_tasks': len(tasks_progress),
'running_tasks': len([t for t in tasks_progress if t['status'] == 'running']),
'completed_tasks': len([t for t in tasks_progress if t['status'] == 'completed']),
'failed_tasks': len([t for t in tasks_progress if t['status'] == 'failed'])
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
@router.get("/active")
async def get_active_tasks():
"""获取所有活动任务的进度"""
try:
active_tasks = progress_update_service.get_all_active_tasks()
# 转换为前端友好的格式
formatted_tasks = []
for task_id, progress_info in active_tasks.items():
formatted_tasks.append({
'task_id': task_id,
'progress': progress_info['progress'],
'current_step': progress_info['current_step'],
'step_details': progress_info.get('step_details'),
'started_at': progress_info['started_at'].isoformat() if progress_info['started_at'] else None,
'updated_at': progress_info['updated_at'].isoformat() if progress_info['updated_at'] else None
})
return {
'active_tasks': formatted_tasks,
'total_active': len(formatted_tasks)
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
@router.get("/summary")
async def get_progress_summary(db: Session = Depends(get_db)):
"""获取进度摘要信息"""
try:
# 统计各种状态的任务数量
total_tasks = db.query(Task).count()
running_tasks = db.query(Task).filter(Task.status == TaskStatus.RUNNING).count()
completed_tasks = db.query(Task).filter(Task.status == TaskStatus.COMPLETED).count()
failed_tasks = db.query(Task).filter(Task.status == TaskStatus.FAILED).count()
pending_tasks = db.query(Task).filter(Task.status == TaskStatus.PENDING).count()
# 获取活动任务的实时进度
active_tasks = progress_update_service.get_all_active_tasks()
return {
'summary': {
'total_tasks': total_tasks,
'running_tasks': running_tasks,
'completed_tasks': completed_tasks,
'failed_tasks': failed_tasks,
'pending_tasks': pending_tasks
},
'active_tasks_count': len(active_tasks),
'timestamp': datetime.utcnow().isoformat()
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
+248 -579
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+2 -2
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@@ -30,7 +30,7 @@ class ApiKeyTestResponse(BaseModel):
def get_settings_file_path() -> Path:
"""获取设置文件路径"""
from core.path_utils import get_settings_file_path as get_settings_path
from ...core.path_utils import get_settings_file_path as get_settings_path
return get_settings_path()
def load_settings() -> Dict[str, Any]:
@@ -125,7 +125,7 @@ async def test_api_key(request: ApiKeyTestRequest) -> ApiKeyTestResponse:
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
from backend.utils.llm_client import LLMClient
from ...utils.llm_client import LLMClient
llm_client = LLMClient()
# 发送一个简单的测试请求
+1 -1
View File
@@ -8,7 +8,7 @@ from fastapi import APIRouter, HTTPException, Query
from pydantic import BaseModel
from pathlib import Path
from backend.utils.speech_recognizer import (
from ...utils.speech_recognizer import (
get_available_speech_recognition_methods,
get_supported_languages,
get_whisper_models,
+386
View File
@@ -0,0 +1,386 @@
import logging
from pathlib import Path
from typing import List, Dict, Optional
from fastapi import APIRouter, HTTPException, Depends, UploadFile, File
from fastapi.responses import FileResponse
from pydantic import BaseModel
from ...utils.subtitle_processor import SubtitleProcessor
from ...utils.video_editor import VideoEditor
from ...core.path_utils import get_data_directory, get_projects_directory
from ...core.database import get_db
from ...services.project_service import ProjectService
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
router = APIRouter()
# 请求和响应模型
class SubtitleEditRequest(BaseModel):
project_id: str
clip_id: str
deleted_segments: List[str]
class SubtitleEditResponse(BaseModel):
success: bool
message: str
edited_video_path: Optional[str] = None
deleted_duration: Optional[float] = None
final_duration: Optional[float] = None
class SubtitleDataResponse(BaseModel):
segments: List[Dict]
total_duration: float
word_count: int
segment_count: int
class EditPreviewRequest(BaseModel):
project_id: str
clip_id: str
deleted_segments: List[str]
# 依赖注入函数
def get_subtitle_processor() -> SubtitleProcessor:
return SubtitleProcessor()
def get_video_editor() -> VideoEditor:
return VideoEditor()
def get_project_service(db: Session = Depends(get_db)) -> ProjectService:
"""Dependency to get project service."""
return ProjectService(db)
@router.get("/{project_id}/clips/{clip_id}/subtitles")
async def get_clip_subtitles(
project_id: str,
clip_id: str,
subtitle_processor: SubtitleProcessor = Depends(get_subtitle_processor),
project_service: ProjectService = Depends(get_project_service)
):
"""获取片段的字粒度字幕数据"""
try:
# 获取项目信息
project = project_service.get(project_id)
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 获取片段信息
from ...models.clip import Clip
clip = project_service.db.query(Clip).filter(Clip.id == clip_id, Clip.project_id == project_id).first()
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
# 查找原始SRT文件
projects_dir = get_projects_directory()
project_dir = projects_dir / project_id
srt_file = project_dir / "raw" / "input.srt"
if not srt_file.exists():
raise HTTPException(status_code=404, detail="字幕文件不存在")
# 解析字幕数据
subtitle_data = subtitle_processor.parse_srt_to_word_level(srt_file)
# 过滤出属于当前片段的时间范围
# 如果start_time和end_time是整数(秒),直接使用
if isinstance(clip.start_time, int):
clip_start = clip.start_time
else:
clip_start = subtitle_processor._srt_time_to_seconds(
subtitle_processor._seconds_to_srt_time_object(clip.start_time)
)
if isinstance(clip.end_time, int):
clip_end = clip.end_time
else:
clip_end = subtitle_processor._srt_time_to_seconds(
subtitle_processor._seconds_to_srt_time_object(clip.end_time)
)
# 过滤字幕段
clip_subtitles = [
seg for seg in subtitle_data
if seg['startTime'] >= clip_start and seg['endTime'] <= clip_end
]
# 调整时间戳为相对于片段的
for seg in clip_subtitles:
seg['startTime'] -= clip_start
seg['endTime'] -= clip_start
for word in seg['words']:
word['startTime'] -= clip_start
word['endTime'] -= clip_start
# 获取统计信息
stats = subtitle_processor.get_subtitle_statistics(clip_subtitles)
return SubtitleDataResponse(
segments=clip_subtitles,
total_duration=stats['totalDuration'],
word_count=stats['wordCount'],
segment_count=stats['segmentCount']
)
except Exception as e:
import traceback
logger.error(f"获取字幕数据失败: {e}")
logger.error(f"错误详情: {traceback.format_exc()}")
raise HTTPException(status_code=500, detail=f"获取字幕数据失败: {str(e)}")
@router.post("/{project_id}/clips/{clip_id}/edit")
async def edit_clip_by_subtitles(
project_id: str,
clip_id: str,
request: SubtitleEditRequest,
subtitle_processor: SubtitleProcessor = Depends(get_subtitle_processor),
video_editor: VideoEditor = Depends(get_video_editor),
project_service: ProjectService = Depends(get_project_service)
):
"""基于字幕删除编辑视频片段"""
try:
# 获取项目信息
project = project_service.get(project_id)
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 获取片段信息
from ...models.clip import Clip
clip = project_service.db.query(Clip).filter(Clip.id == clip_id, Clip.project_id == project_id).first()
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
# 获取原始视频和字幕文件路径
projects_dir = get_projects_directory()
project_dir = projects_dir / project_id
# 查找原始视频文件
video_files = list(project_dir.glob("raw/*.mp4"))
if not video_files:
raise HTTPException(status_code=404, detail="原始视频文件不存在")
original_video = video_files[0]
# 查找字幕文件
srt_file = project_dir / "raw" / "input.srt"
if not srt_file.exists():
raise HTTPException(status_code=404, detail="字幕文件不存在")
# 解析字幕数据
subtitle_data = subtitle_processor.parse_srt_to_word_level(srt_file)
# 过滤出属于当前片段的时间范围
# 如果start_time和end_time是整数(秒),直接使用
if isinstance(clip.start_time, int):
clip_start = clip.start_time
else:
clip_start = subtitle_processor._srt_time_to_seconds(
subtitle_processor._seconds_to_srt_time_object(clip.start_time)
)
if isinstance(clip.end_time, int):
clip_end = clip.end_time
else:
clip_end = subtitle_processor._srt_time_to_seconds(
subtitle_processor._seconds_to_srt_time_object(clip.end_time)
)
clip_subtitles = [
seg for seg in subtitle_data
if seg['startTime'] >= clip_start and seg['endTime'] <= clip_end
]
# 验证编辑操作
validation = video_editor.validate_edit_operations(
clip_subtitles, request.deleted_segments
)
if not validation['valid']:
raise HTTPException(status_code=400, detail=validation['error'])
# 创建输出目录
output_dir = project_dir / "edited_clips"
output_dir.mkdir(exist_ok=True)
# 生成编辑后的视频文件名
edited_video_name = f"{clip_id}_edited.mp4"
edited_video_path = output_dir / edited_video_name
# 执行视频编辑
edit_result = video_editor.edit_video_by_subtitle_deletion(
original_video,
clip_subtitles,
request.deleted_segments,
edited_video_path
)
if not edit_result['success']:
raise HTTPException(status_code=500, detail=f"视频编辑失败: {edit_result['error']}")
# 导出编辑后的字幕文件
edited_srt_path = output_dir / f"{clip_id}_edited.srt"
subtitle_processor.export_edited_srt(
clip_subtitles,
request.deleted_segments,
edited_srt_path
)
return SubtitleEditResponse(
success=True,
message="视频编辑成功",
edited_video_path=str(edited_video_path),
deleted_duration=edit_result['totalDeletedDuration'],
final_duration=edit_result['finalDuration']
)
except HTTPException:
raise
except Exception as e:
logger.error(f"编辑视频片段失败: {e}")
raise HTTPException(status_code=500, detail=f"编辑视频片段失败: {str(e)}")
@router.get("/{project_id}/clips/{clip_id}/edited-video")
async def get_edited_video(
project_id: str,
clip_id: str,
project_service: ProjectService = Depends(get_project_service)
):
"""获取编辑后的视频文件"""
try:
# 检查项目是否存在
project = await project_service.get_project(project_id)
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 查找编辑后的视频文件
projects_dir = get_projects_directory()
edited_video_path = projects_dir / project_id / "edited_clips" / f"{clip_id}_edited.mp4"
if not edited_video_path.exists():
raise HTTPException(status_code=404, detail="编辑后的视频文件不存在")
# 返回视频文件
return FileResponse(
path=str(edited_video_path),
media_type="video/mp4",
filename=f"{clip_id}_edited.mp4"
)
except HTTPException:
raise
except Exception as e:
logger.error(f"获取编辑后的视频失败: {e}")
raise HTTPException(status_code=500, detail=f"获取编辑后的视频失败: {str(e)}")
@router.post("/{project_id}/clips/{clip_id}/preview")
async def create_edit_preview(
project_id: str,
clip_id: str,
request: EditPreviewRequest,
subtitle_processor: SubtitleProcessor = Depends(get_subtitle_processor),
video_editor: VideoEditor = Depends(get_video_editor),
project_service: ProjectService = Depends(get_project_service)
):
"""创建编辑预览片段"""
try:
# 获取项目信息
project = project_service.get(project_id)
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 获取片段信息
from ...models.clip import Clip
clip = project_service.db.query(Clip).filter(Clip.id == clip_id, Clip.project_id == project_id).first()
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
# 获取原始视频和字幕文件路径
projects_dir = get_projects_directory()
project_dir = projects_dir / project_id
video_files = list(project_dir.glob("raw/*.mp4"))
if not video_files:
raise HTTPException(status_code=404, detail="原始视频文件不存在")
original_video = video_files[0]
srt_file = project_dir / "raw" / "input.srt"
if not srt_file.exists():
raise HTTPException(status_code=404, detail="字幕文件不存在")
# 解析字幕数据
subtitle_data = subtitle_processor.parse_srt_to_word_level(srt_file)
# 过滤出属于当前片段的时间范围
# 如果start_time和end_time是整数(秒),直接使用
if isinstance(clip.start_time, int):
clip_start = clip.start_time
else:
clip_start = subtitle_processor._srt_time_to_seconds(
subtitle_processor._seconds_to_srt_time_object(clip.start_time)
)
if isinstance(clip.end_time, int):
clip_end = clip.end_time
else:
clip_end = subtitle_processor._srt_time_to_seconds(
subtitle_processor._seconds_to_srt_time_object(clip.end_time)
)
clip_subtitles = [
seg for seg in subtitle_data
if seg['startTime'] >= clip_start and seg['endTime'] <= clip_end
]
# 创建预览目录
preview_dir = project_dir / "edit_previews" / clip_id
preview_dir.mkdir(parents=True, exist_ok=True)
# 创建预览片段
preview_files = video_editor.create_preview_clips(
original_video,
clip_subtitles,
request.deleted_segments,
preview_dir
)
return {
"success": True,
"preview_files": [str(f) for f in preview_files],
"count": len(preview_files)
}
except Exception as e:
logger.error(f"创建编辑预览失败: {e}")
raise HTTPException(status_code=500, detail=f"创建编辑预览失败: {str(e)}")
@router.get("/{project_id}/clips/{clip_id}/preview/{segment_id}")
async def get_preview_segment(
project_id: str,
clip_id: str,
segment_id: str,
project_service: ProjectService = Depends(get_project_service)
):
"""获取预览片段文件"""
try:
# 检查项目是否存在
project = project_service.get(project_id)
if not project:
raise HTTPException(status_code=404, detail="项目不存在")
# 查找预览文件
projects_dir = get_projects_directory()
preview_file = projects_dir / project_id / "edit_previews" / clip_id / f"preview_{segment_id}.mp4"
if not preview_file.exists():
raise HTTPException(status_code=404, detail="预览文件不存在")
# 返回预览文件
return FileResponse(
path=str(preview_file),
media_type="video/mp4",
filename=f"preview_{segment_id}.mp4"
)
except HTTPException:
raise
except Exception as e:
logger.error(f"获取预览文件失败: {e}")
raise HTTPException(status_code=500, detail=f"获取预览文件失败: {str(e)}")
+138 -386
View File
@@ -1,433 +1,185 @@
"""
任务API路由
任务管理API路由
"""
from fastapi import APIRouter, HTTPException, Depends, Query
from typing import List, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from core.database import get_db
from services.task_service import TaskService
from services.processing_service import ProcessingService
from services.websocket_notification_service import WebSocketNotificationService
from schemas.task import TaskCreate, TaskUpdate, TaskResponse, TaskListResponse, TaskStatus
from schemas.base import PaginationParams, PaginationResponse
from models.task import Task
from backend.core.database import get_db
from backend.models.task import Task
from backend.schemas.task import TaskResponse, TaskCreate, TaskUpdate
from backend.services.task_service import TaskService
from backend.services.task_queue_service import TaskQueueService
router = APIRouter()
def get_processing_service(db: Session = Depends(get_db)) -> TaskService:
"""Dependency to get processing service."""
return TaskService(db)
def get_websocket_service(db: Session = Depends(get_db)) -> WebSocketNotificationService:
"""Dependency to get websocket notification service."""
return WebSocketNotificationService()
@router.get("/", response_model=TaskListResponse)
@router.get("/", response_model=List[TaskResponse])
async def get_tasks(
page: int = Query(1, ge=1, description="Page number"),
size: int = Query(20, ge=1, le=100, description="Page size"),
project_id: Optional[int] = Query(None, description="Filter by project ID"),
status: Optional[str] = Query(None, description="Filter by task status"),
task_type: Optional[str] = Query(None, description="Filter by task type"),
skip: int = Query(0, ge=0),
limit: int = Query(100, ge=1, le=1000),
status: Optional[str] = Query(None),
project_id: Optional[str] = Query(None),
db: Session = Depends(get_db)
):
"""Get paginated tasks with optional filtering."""
"""获取任务列表"""
try:
query = db.query(Task)
# 应用过滤器
if project_id:
query = query.filter(Task.project_id == str(project_id))
if status:
query = query.filter(Task.status == status)
if task_type:
query = query.filter(Task.task_type == task_type)
# 分页
total = query.count()
offset = (page - 1) * size
tasks = query.offset(offset).limit(size).all()
# 转换为响应格式
task_responses = []
for task in tasks:
task_responses.append(TaskResponse(
id=str(task.id),
project_id=task.project_id,
name=task.name,
task_type=task.task_type,
status=TaskStatus(task.status),
progress=task.progress,
task_config=task.task_config or {},
result=task.result_data,
error_message=task.error_message,
priority=task.priority,
metadata=task.task_metadata or {},
created_at=task.created_at,
updated_at=task.updated_at,
started_at=task.started_at,
completed_at=task.completed_at
))
return TaskListResponse(
items=task_responses,
total=total,
page=page,
size=size,
pages=(total + size - 1) // size,
pagination=PaginationResponse(
total=total,
page=page,
size=size,
pages=(total + size - 1) // size,
has_next=page < (total + size - 1) // size,
has_prev=page > 1
)
task_service = TaskService(db)
tasks = task_service.get_tasks(
skip=skip,
limit=limit,
status=status,
project_id=project_id
)
return tasks
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))
raise HTTPException(status_code=500, detail=f"获取任务列表失败: {str(e)}")
@router.post("/", response_model=TaskResponse)
async def create_task(
task_data: TaskCreate,
@router.get("/project/{project_id}", response_model=List[TaskResponse])
async def get_project_tasks(
project_id: str,
db: Session = Depends(get_db)
):
"""Create a new task."""
"""获取指定项目的任务列表"""
try:
# 创建任务记录
task = Task(
name=task_data.name,
description=task_data.description,
project_id=task_data.project_id,
task_type=task_data.task_type,
status=TaskStatus.PENDING,
progress=0.0,
task_config=task_data.task_config or {},
result_data=task_data.metadata or {}
)
db.add(task)
db.commit()
db.refresh(task)
return TaskResponse(
id=str(task.id),
project_id=task.project_id,
name=task.name,
task_type=task.task_type,
status=TaskStatus(task.status),
celery_task_id=task.celery_task_id,
current_step=task.current_step,
total_steps=task.total_steps,
progress=task.progress,
error_message=task.error_message,
result=task.result_data, # 使用result_data字段
task_config=task.task_config or {},
priority=task.priority,
metadata=task.task_metadata or {},
created_at=task.created_at,
updated_at=task.updated_at,
started_at=task.started_at,
completed_at=task.completed_at
)
task_service = TaskService(db)
tasks = task_service.get_tasks_by_project_id(project_id)
return tasks
except Exception as e:
db.rollback()
raise HTTPException(status_code=400, detail=str(e))
raise HTTPException(status_code=500, detail=f"获取项目任务失败: {str(e)}")
@router.get("/{task_id}", response_model=TaskResponse)
async def get_task(
task_id: str,
db: Session = Depends(get_db)
):
"""Get a task by ID."""
"""获取单个任务详情"""
try:
task = db.query(Task).filter(Task.id == task_id).first()
task_service = TaskService(db)
task = task_service.get_task_by_id(task_id)
if not task:
raise HTTPException(status_code=404, detail="Task not found")
return TaskResponse(
id=str(task.id),
project_id=task.project_id,
name=task.name, # 添加name字段
task_type=task.task_type,
status=TaskStatus(task.status),
celery_task_id=task.celery_task_id,
current_step=task.current_step,
total_steps=task.total_steps,
progress=task.progress,
error_message=task.error_message,
result=task.result_data, # 使用result_data字段
task_config=task.task_config or {},
priority=task.priority,
metadata=task.task_metadata or {},
created_at=task.created_at,
updated_at=task.updated_at,
started_at=task.started_at,
completed_at=task.completed_at
)
raise HTTPException(status_code=404, detail="任务不存在")
return task
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))
raise HTTPException(status_code=500, detail=f"获取任务详情失败: {str(e)}")
@router.post("/", response_model=TaskResponse)
async def create_task(
task_data: TaskCreate,
db: Session = Depends(get_db)
):
"""创建新任务"""
try:
task_service = TaskService(db)
task = task_service.create_task(task_data)
return task
except Exception as e:
raise HTTPException(status_code=500, detail=f"创建任务失败: {str(e)}")
@router.put("/{task_id}", response_model=TaskResponse)
async def update_task(
task_id: str,
task_data: TaskUpdate,
db: Session = Depends(get_db)
):
"""更新任务"""
try:
task_service = TaskService(db)
task = task_service.update_task(task_id, task_data)
if not task:
raise HTTPException(status_code=404, detail="任务不存在")
return task
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"更新任务失败: {str(e)}")
@router.delete("/{task_id}")
async def delete_task(
task_id: str,
db: Session = Depends(get_db)
):
"""删除任务"""
try:
task_service = TaskService(db)
success = task_service.delete_task(task_id)
if not success:
raise HTTPException(status_code=404, detail="任务不存在")
return {"message": "任务删除成功"}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"删除任务失败: {str(e)}")
@router.post("/{task_id}/submit")
async def submit_task(
task_id: str,
db: Session = Depends(get_db)
):
"""提交任务到队列"""
try:
task_service = TaskService(db)
task = task_service.get_task_by_id(task_id)
if not task:
raise HTTPException(status_code=404, detail="任务不存在")
# 提交到任务队列
queue_service = TaskQueueService()
result = queue_service.submit_task(task)
return {"message": "任务已提交到队列", "task_id": task_id, "celery_task_id": result.id}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"提交任务失败: {str(e)}")
@router.post("/{task_id}/retry")
async def retry_task(
task_id: str,
db: Session = Depends(get_db)
):
"""重试失败的任务"""
try:
task_service = TaskService(db)
task = task_service.get_task_by_id(task_id)
if not task:
raise HTTPException(status_code=404, detail="任务不存在")
# 重置任务状态并重新提交
task_service.update_task(task_id, TaskUpdate(status="pending", progress=0))
# 提交到任务队列
queue_service = TaskQueueService()
result = queue_service.submit_task(task)
return {"message": "任务已重新提交", "task_id": task_id, "celery_task_id": result.id}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"重试任务失败: {str(e)}")
@router.get("/{task_id}/status")
async def get_task_status(
task_id: str,
db: Session = Depends(get_db)
):
"""Get detailed task status including Celery task info."""
"""获取任务状态"""
try:
task = db.query(Task).filter(Task.id == task_id).first()
task_service = TaskService(db)
task = task_service.get_task_by_id(task_id)
if not task:
raise HTTPException(status_code=404, detail="Task not found")
# 获取Celery任务状态
celery_result = None
celery_status = "UNKNOWN"
celery_info = None
if task.celery_task_id:
try:
celery_result = AsyncResult(task.celery_task_id, app=celery_app)
celery_status = celery_result.status
celery_info = celery_result.info
except Exception as e:
celery_info = {"error": f"Failed to get Celery task info: {str(e)}"}
raise HTTPException(status_code=404, detail="任务不存在")
return {
"task_id": str(task.id),
"project_id": task.project_id,
"task_type": task.task_type,
"task_id": task_id,
"status": task.status,
"current_step": task.current_step,
"total_steps": task.total_steps,
"progress": task.progress,
"error_message": task.error_message,
"celery_task_id": task.celery_task_id,
"celery_status": celery_status,
"celery_info": celery_info,
"created_at": task.created_at,
"updated_at": task.updated_at,
"completed_at": task.completed_at
"message": task.message,
"error": task.error,
"updated_at": task.updated_at
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))
raise HTTPException(status_code=500, detail=f"获取任务状态失败: {str(e)}")
@router.post("/{task_id}/cancel")
async def cancel_task(
task_id: str,
db: Session = Depends(get_db),
websocket_service: WebSocketNotificationService = Depends(get_websocket_service)
):
"""Cancel a running task."""
try:
task = db.query(Task).filter(Task.id == task_id).first()
if not task:
raise HTTPException(status_code=404, detail="Task not found")
# 检查任务状态
if task.status in ["completed", "failed", "cancelled"]:
raise HTTPException(status_code=400, detail=f"Cannot cancel task with status: {task.status}")
# 取消Celery任务
if task.celery_task_id:
try:
celery_app.control.revoke(task.celery_task_id, terminate=True)
except Exception as e:
# 即使Celery取消失败,我们也要更新数据库状态
pass
# 更新任务状态
task.status = "cancelled"
task.error_message = "Task cancelled by user"
db.commit()
# 发送WebSocket通知
await websocket_service.send_task_update(
task_id=int(task_id),
project_id=task.project_id,
status="cancelled",
progress=task.progress,
message="任务已取消"
)
return {
"message": "Task cancelled successfully",
"task_id": task_id,
"status": "cancelled"
}
except HTTPException:
raise
except Exception as e:
db.rollback()
raise HTTPException(status_code=400, detail=str(e))
@router.post("/{task_id}/retry")
async def retry_task(
task_id: str,
db: Session = Depends(get_db),
processing_service: ProcessingService = Depends(get_processing_service),
websocket_service: WebSocketNotificationService = Depends(get_websocket_service)
):
"""Retry a failed task."""
try:
task = db.query(Task).filter(Task.id == int(task_id)).first()
if not task:
raise HTTPException(status_code=404, detail="Task not found")
# 检查任务状态
if task.status not in ["failed", "cancelled"]:
raise HTTPException(status_code=400, detail=f"Cannot retry task with status: {task.status}")
# 重置任务状态
task.status = "pending"
task.current_step = 0
task.progress = 0
task.error_message = None
task.celery_task_id = None
db.commit()
# 发送WebSocket通知
await websocket_service.send_task_update(
task_id=int(task_id),
project_id=task.project_id,
status="pending",
progress=0,
message="任务重试中"
)
# 根据任务类型重新提交任务
if task.task_type == "video_pipeline":
# 这里需要重新获取项目信息并提交Celery任务
# 为了简化,我们返回成功,实际实现中需要调用相应的处理逻辑
pass
return {
"message": "Task retry initiated successfully",
"task_id": task_id,
"status": "pending"
}
except HTTPException:
raise
except Exception as e:
db.rollback()
raise HTTPException(status_code=400, detail=str(e))
@router.get("/project/{project_id}", response_model=TaskListResponse)
async def get_project_tasks(
project_id: str,
page: int = Query(1, ge=1, description="Page number"),
size: int = Query(20, ge=1, le=100, description="Page size"),
status: Optional[str] = Query(None, description="Filter by task status"),
db: Session = Depends(get_db)
):
"""Get tasks for a specific project."""
try:
query = db.query(Task).filter(Task.project_id == project_id)
if status:
query = query.filter(Task.status == status)
# 按创建时间倒序排列
query = query.order_by(Task.created_at.desc())
# 分页
total = query.count()
offset = (page - 1) * size
tasks = query.offset(offset).limit(size).all()
# 转换为响应格式
task_responses = []
for task in tasks:
task_responses.append(TaskResponse(
id=str(task.id),
project_id=task.project_id,
name=task.name, # 添加name字段
task_type=task.task_type,
status=TaskStatus(task.status),
celery_task_id=task.celery_task_id,
current_step=task.current_step,
total_steps=task.total_steps,
progress=task.progress,
error_message=task.error_message,
result=task.result_data, # 使用result_data字段
task_config=task.task_config or {},
priority=task.priority,
metadata=task.task_metadata or {},
created_at=task.created_at,
updated_at=task.updated_at,
started_at=task.started_at,
completed_at=task.completed_at
))
return TaskListResponse(
items=task_responses,
total=total,
page=page,
size=size,
pages=(total + size - 1) // size,
pagination=PaginationResponse(
total=total,
page=page,
size=size,
pages=(total + size - 1) // size,
has_next=page < (total + size - 1) // size,
has_prev=page > 1
)
)
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))
@router.delete("/cleanup")
async def cleanup_old_tasks(
days: int = Query(7, ge=1, le=365, description="Delete tasks older than this many days"),
status: Optional[str] = Query(None, description="Only delete tasks with this status"),
db: Session = Depends(get_db)
):
"""Clean up old tasks."""
try:
from datetime import datetime, timedelta
cutoff_date = datetime.utcnow() - timedelta(days=days)
query = db.query(Task).filter(Task.created_at < cutoff_date)
if status:
query = query.filter(Task.status == status)
# 获取要删除的任务数量
count = query.count()
# 删除任务
query.delete()
db.commit()
return {
"message": f"Cleaned up {count} old tasks",
"deleted_count": count,
"cutoff_date": cutoff_date.isoformat()
}
except Exception as e:
db.rollback()
raise HTTPException(status_code=400, detail=str(e))
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+3 -3
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@@ -9,9 +9,9 @@ from fastapi import APIRouter, WebSocket, WebSocketDisconnect, HTTPException, De
from fastapi.responses import JSONResponse
from sqlalchemy.orm import Session
from core.database import get_db
from core.websocket_manager import manager, WebSocketMessage
from services.websocket_notification_service import WebSocketNotificationService
from ...core.database import get_db
from ...core.websocket_manager import manager, WebSocketMessage
from ...services.websocket_notification_service import WebSocketNotificationService
logger = logging.getLogger(__name__)
+36 -18
View File
@@ -10,7 +10,7 @@ from pydantic import BaseModel
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent.parent))
from core.config import get_data_directory
from ...core.config import get_data_directory
import uuid
import asyncio
from datetime import datetime
@@ -160,7 +160,7 @@ async def process_youtube_download_task(task_id: str, request: YouTubeDownloadRe
# 使用yt-dlp下载视频
import yt_dlp
from core.config import get_data_directory
from ...core.config import get_data_directory
data_dir = get_data_directory()
download_dir = data_dir / "temp"
@@ -201,38 +201,56 @@ async def process_youtube_download_task(task_id: str, request: YouTubeDownloadRe
video_path = str(video_files[0])
subtitle_path = str(subtitle_files[0]) if subtitle_files else ""
# 如果没有字幕文件,尝试多种策略获取字幕
# 如果没有字幕文件,优先使用Whisper生成字幕
if not subtitle_path:
logger.warning("未找到字幕文件,尝试备用策略...")
subtitle_path = await _try_youtube_subtitle_strategies(request.url, download_dir, request.browser)
# 如果仍然没有字幕文件,尝试生成字幕
if not subtitle_path:
logger.warning("所有字幕获取策略都失败,尝试生成字幕")
logger.info("优先使用Whisper生成高质量字幕")
try:
from backend.utils.speech_recognizer import generate_subtitle_for_video, SpeechRecognitionError
from ...utils.speech_recognizer import generate_subtitle_for_video, SpeechRecognitionError
video_file_path = Path(video_path)
generated_subtitle = generate_subtitle_for_video(video_file_path)
# 根据视频信息选择合适的模型
model = "base" # 默认使用平衡模型
language = "auto" # 默认自动检测语言
# 可以根据视频标题判断内容类型
# 这里可以添加更智能的内容类型判断逻辑
logger.info(f"使用Whisper生成字幕 - 语言: {language}, 模型: {model}")
generated_subtitle = generate_subtitle_for_video(
video_file_path,
language=language,
model=model
)
subtitle_path = str(generated_subtitle)
logger.info(f"字幕生成成功: {subtitle_path}")
logger.info(f"Whisper字幕生成成功: {subtitle_path}")
except SpeechRecognitionError as e:
logger.error(f"语音识别失败: {e}")
# 语音识别失败,但不影响下载任务,只是没有字幕
logger.error(f"Whisper字幕生成失败: {e}")
# Whisper失败时,尝试多种策略获取平台字幕作为备用
logger.info("尝试下载平台字幕作为备用方案")
try:
subtitle_path = await _try_youtube_subtitle_strategies(request.url, download_dir, request.browser)
if subtitle_path:
logger.info(f"备用字幕获取成功: {subtitle_path}")
else:
logger.warning("所有字幕获取策略都失败了")
except Exception as backup_error:
logger.error(f"备用字幕获取也失败: {backup_error}")
except Exception as e:
logger.error(f"生成字幕失败: {e}")
logger.error(f"生成字幕过程中发生未知错误: {e}")
logger.info(f"下载完成 - 视频文件: {video_path}, 字幕文件: {subtitle_path}")
# 创建项目
from services.project_service import ProjectService
from core.database import SessionLocal
from ...services.project_service import ProjectService
from ...core.database import SessionLocal
db = SessionLocal()
try:
project_service = ProjectService(db)
# 创建项目
from schemas.project import ProjectCreate, ProjectType, ProjectStatus
from ...schemas.project import ProjectCreate, ProjectType, ProjectStatus
project_data = ProjectCreate(
name=request.project_name,
-152
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@@ -1,152 +0,0 @@
"""
WebSocket API路由
提供实时通信功能
"""
import logging
from fastapi import APIRouter, WebSocket, WebSocketDisconnect, Depends, HTTPException
from typing import Optional
from core.websocket_manager import manager
from core.database import get_db
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/ws", tags=["websocket"])
@router.websocket("/{user_id}")
async def websocket_endpoint(websocket: WebSocket, user_id: str):
"""WebSocket连接端点
Args:
websocket: WebSocket连接对象
user_id: 用户ID
"""
await manager.connect(websocket, user_id)
try:
while True:
# 接收客户端消息
data = await websocket.receive_json()
# 处理不同类型的消息
message_type = data.get("type")
if message_type == "subscribe":
# 订阅主题
topic = data.get("topic")
if topic:
manager.subscribe_to_topic(user_id, topic)
await websocket.send_json({
"type": "subscription_confirmed",
"topic": topic,
"message": f"已订阅主题: {topic}"
})
elif message_type == "unsubscribe":
# 取消订阅主题
topic = data.get("topic")
if topic:
manager.unsubscribe_from_topic(user_id, topic)
await websocket.send_json({
"type": "unsubscription_confirmed",
"topic": topic,
"message": f"已取消订阅主题: {topic}"
})
elif message_type == "ping":
# 心跳检测
await websocket.send_json({
"type": "pong",
"timestamp": data.get("timestamp")
})
elif message_type == "get_status":
# 获取连接状态
await websocket.send_json({
"type": "status",
"user_id": user_id,
"connection_count": manager.get_connection_count(),
"subscribed_topics": list(manager.user_subscriptions.get(user_id, set()))
})
else:
logger.warning(f"未知消息类型: {message_type}")
await websocket.send_json({
"type": "error",
"message": f"未知消息类型: {message_type}"
})
except WebSocketDisconnect:
logger.info(f"用户 {user_id} 断开WebSocket连接")
manager.disconnect(user_id)
except Exception as e:
logger.error(f"WebSocket连接错误: {str(e)}")
manager.disconnect(user_id)
@router.get("/status")
async def get_websocket_status():
"""获取WebSocket服务状态"""
return {
"active_connections": manager.get_connection_count(),
"topics": {
topic: manager.get_topic_subscriber_count(topic)
for topic in manager.topic_subscribers.keys()
}
}
@router.post("/broadcast")
async def broadcast_message(message: dict):
"""广播消息到所有连接
Args:
message: 要广播的消息
"""
try:
await manager.broadcast(message)
return {
"success": True,
"message": "消息已广播",
"recipients": manager.get_connection_count()
}
except Exception as e:
logger.error(f"广播消息失败: {str(e)}")
raise HTTPException(status_code=500, detail=f"广播失败: {str(e)}")
@router.post("/broadcast/{topic}")
async def broadcast_to_topic(topic: str, message: dict):
"""广播消息到特定主题
Args:
topic: 主题名称
message: 要广播的消息
"""
try:
await manager.broadcast_to_topic(message, topic)
return {
"success": True,
"message": f"消息已广播到主题: {topic}",
"recipients": manager.get_topic_subscriber_count(topic)
}
except Exception as e:
logger.error(f"广播消息到主题失败: {str(e)}")
raise HTTPException(status_code=500, detail=f"广播失败: {str(e)}")
@router.post("/send/{user_id}")
async def send_personal_message(user_id: str, message: dict):
"""发送个人消息
Args:
user_id: 目标用户ID
message: 要发送的消息
"""
try:
await manager.send_personal_message(message, user_id)
return {
"success": True,
"message": f"消息已发送给用户: {user_id}"
}
except Exception as e:
logger.error(f"发送个人消息失败: {str(e)}")
raise HTTPException(status_code=500, detail=f"发送失败: {str(e)}")
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@@ -43,6 +43,7 @@ class CeleryConfig:
'backend.tasks.processing.*': {'queue': 'processing'},
'backend.tasks.video.*': {'queue': 'video'},
'backend.tasks.notification.*': {'queue': 'notification'},
'backend.tasks.upload.*': {'queue': 'upload'}, # 添加upload任务路由
}
# 定时任务配置
+122
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@@ -0,0 +1,122 @@
"""
统一的Celery应用配置
避免循环导入问题,提供完整的任务管理
"""
import os
from celery import Celery
# 创建Celery应用
celery_app = Celery('autoclip')
# 基本配置
celery_app.conf.update(
# 序列化格式
task_serializer='json',
accept_content=['json'],
result_serializer='json',
# Redis配置
broker_url='redis://localhost:6379/0',
result_backend='redis://localhost:6379/0',
# 时区
timezone='Asia/Shanghai',
enable_utc=True,
# 任务配置
task_always_eager=False,
task_eager_propagates=True,
# 工作进程配置
worker_prefetch_multiplier=1,
worker_max_tasks_per_child=1000,
worker_disable_rate_limits=True,
# 结果配置
result_expires=3600,
task_ignore_result=False,
# 任务路由
task_routes={
'backend.tasks.processing.*': {'queue': 'processing'},
'backend.tasks.video.*': {'queue': 'upload'},
'backend.tasks.notification.*': {'queue': 'notification'},
'backend.tasks.maintenance.*': {'queue': 'maintenance'},
'backend.tasks.upload.*': {'queue': 'upload'},
},
# 任务结果配置
task_track_started=True,
task_time_limit=30 * 60, # 30分钟
task_soft_time_limit=25 * 60, # 25分钟
)
# 自动发现任务模块
celery_app.autodiscover_tasks([
'backend.tasks.processing',
'backend.tasks.video',
'backend.tasks.notification',
'backend.tasks.maintenance',
'backend.tasks.upload'
])
# 手动注册核心任务,避免自动发现失败
@celery_app.task(bind=True, name='backend.tasks.processing.process_video_pipeline')
def process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str):
"""视频处理流水线任务"""
print(f"开始处理项目: {project_id}")
print(f"视频路径: {input_video_path}")
print(f"字幕路径: {input_srt_path}")
# 模拟处理过程
import time
for i in range(6):
print(f"步骤 {i+1}/6: 处理中...")
time.sleep(2)
print(f"项目 {project_id} 处理完成")
return {
"success": True,
"project_id": project_id,
"message": "视频处理完成"
}
@celery_app.task(bind=True, name='backend.tasks.processing.process_single_step')
def process_single_step(self, project_id: str, step: str, config: dict):
"""单个步骤处理任务"""
print(f"开始处理项目 {project_id} 的步骤: {step}")
# 模拟处理过程
import time
time.sleep(3)
print(f"步骤 {step} 处理完成")
return {
"success": True,
"project_id": project_id,
"step": step,
"message": f"步骤 {step} 处理完成"
}
@celery_app.task(bind=True, name='backend.tasks.upload.upload_to_bilibili')
def upload_to_bilibili(self, project_id: str, video_path: str, title: str, description: str):
"""上传到B站任务"""
print(f"开始上传项目 {project_id} 到B站")
print(f"标题: {title}")
print(f"描述: {description}")
# 模拟上传过程
import time
time.sleep(5)
print(f"项目 {project_id} 上传完成")
return {
"success": True,
"project_id": project_id,
"message": "上传到B站完成"
}
if __name__ == '__main__':
celery_app.start()
+120
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@@ -0,0 +1,120 @@
"""
最小化Celery应用配置
避免所有导入问题,只提供基本的任务处理功能
"""
import os
import sys
from pathlib import Path
from celery import Celery
# 创建Celery应用
celery_app = Celery('autoclip')
# 基本配置
celery_app.conf.update(
# 序列化格式
task_serializer='json',
accept_content=['json'],
result_serializer='json',
# Redis配置
broker_url='redis://localhost:6379/0',
result_backend='redis://localhost:6379/0',
# 时区
timezone='Asia/Shanghai',
enable_utc=True,
# 任务配置
task_always_eager=False,
task_eager_propagates=True,
# 工作进程配置
worker_prefetch_multiplier=1,
worker_max_tasks_per_child=1000,
worker_disable_rate_limits=True,
# 结果配置
result_expires=3600,
task_ignore_result=False,
# 禁用自动发现
autodiscover_tasks=False,
)
# 手动注册任务
@celery_app.task(bind=True, name='tasks.processing.process_video_pipeline')
def process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str):
"""视频处理流水线任务"""
print(f"🎬 开始处理项目: {project_id}")
print(f"📹 视频路径: {input_video_path}")
print(f"📝 字幕路径: {input_srt_path}")
# 模拟处理过程
import time
steps = [
"大纲提取",
"时间定位",
"内容评分",
"标题生成",
"主题聚类",
"视频切割"
]
for i, step in enumerate(steps):
progress = (i + 1) * 16 # 每步16%
print(f"📊 步骤 {i+1}/6: {step} - {progress}%")
# 更新任务状态
self.update_state(
state='PROGRESS',
meta={
'current': i + 1,
'total': 6,
'status': f'正在执行: {step}',
'progress': progress
}
)
time.sleep(2) # 模拟处理时间
print(f"✅ 项目 {project_id} 处理完成")
return {
"success": True,
"project_id": project_id,
"message": "视频处理完成",
"steps": steps
}
@celery_app.task(bind=True, name='tasks.processing.process_single_step')
def process_single_step(self, project_id: str, step: str, config: dict):
"""单个步骤处理任务"""
print(f"🔧 开始处理项目 {project_id} 的步骤: {step}")
# 模拟处理过程
import time
time.sleep(3)
print(f"✅ 步骤 {step} 处理完成")
return {
"success": True,
"project_id": project_id,
"step": step,
"message": f"步骤 {step} 处理完成"
}
# 兼容性任务名称
@celery_app.task(bind=True, name='backend.tasks.processing.process_video_pipeline')
def backend_process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str):
"""后端视频处理流水线任务(兼容性)"""
return process_video_pipeline(self, project_id, input_video_path, input_srt_path)
@celery_app.task(bind=True, name='backend.tasks.processing.process_single_step')
def backend_process_single_step(self, project_id: str, step: str, config: dict):
"""后端单个步骤处理任务(兼容性)"""
return process_single_step(self, project_id, step, config)
if __name__ == '__main__':
celery_app.start()
-49
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@@ -1,49 +0,0 @@
"""
简化的Celery配置
"""
import os
from celery import Celery
# 创建Celery应用
celery_app = Celery('autoclip')
# 基本配置
celery_app.conf.update(
# 序列化格式
task_serializer='json',
accept_content=['json'],
result_serializer='json',
# Redis配置
broker_url='redis://localhost:6379/0',
result_backend='redis://localhost:6379/0',
# 时区
timezone='Asia/Shanghai',
enable_utc=True,
# 任务配置
task_always_eager=False,
task_eager_propagates=True,
# 工作进程配置
worker_prefetch_multiplier=1,
worker_max_tasks_per_child=1000,
worker_disable_rate_limits=True,
# 结果配置
result_expires=3600,
task_ignore_result=False,
)
# 自动发现任务
celery_app.autodiscover_tasks([
'backend.tasks.processing',
'backend.tasks.video',
'backend.tasks.notification',
'backend.tasks.maintenance'
])
if __name__ == '__main__':
celery_app.start()
+193
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@@ -0,0 +1,193 @@
"""
修复的简化Celery应用配置
解决任务路由和状态更新问题
"""
import os
from celery import Celery
# 创建Celery应用
celery_app = Celery('autoclip')
# 基本配置
celery_app.conf.update(
# 序列化格式
task_serializer='json',
accept_content=['json'],
result_serializer='json',
# Redis配置
broker_url='redis://localhost:6379/0',
result_backend='redis://localhost:6379/0',
# Broker配置
broker_transport='redis',
broker_transport_options={},
# 队列配置
task_default_queue='processing',
task_default_exchange='processing',
task_default_routing_key='processing',
# 时区
timezone='Asia/Shanghai',
enable_utc=True,
# 任务配置
task_always_eager=False,
task_eager_propagates=True,
# 工作进程配置
worker_prefetch_multiplier=1,
worker_max_tasks_per_child=1000,
worker_disable_rate_limits=True,
# 结果配置
result_expires=3600,
task_ignore_result=False,
# 任务路由配置
task_routes={
'backend.tasks.processing.*': {'queue': 'processing'},
'backend.tasks.video.*': {'queue': 'upload'},
'backend.tasks.notification.*': {'queue': 'notification'},
'backend.tasks.maintenance.*': {'queue': 'maintenance'},
'backend.tasks.upload.*': {'queue': 'upload'},
},
# 禁用自动发现,手动注册任务
autodiscover_tasks=False,
)
# 手动注册任务,避免自动发现
@celery_app.task(bind=True, name='tasks.processing.process_video_pipeline')
def process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str, *args, **kwargs):
"""视频处理流水线任务"""
# 直接调用有进度更新服务的版本
return backend_process_video_pipeline(self, project_id, input_video_path, input_srt_path, *args, **kwargs)
@celery_app.task(bind=True, name='tasks.processing.process_single_step')
def process_single_step(self, project_id: str, step: str, config: dict, *args, **kwargs):
"""单个步骤处理任务"""
print(f"🔧 开始处理项目 {project_id} 的步骤: {step}")
if args:
print(f"⚠️ 额外位置参数: {args}")
if kwargs:
print(f"⚠️ 额外关键字参数: {kwargs}")
# 模拟处理过程
import time
time.sleep(3)
print(f"✅ 步骤 {step} 处理完成")
return {
"success": True,
"project_id": project_id,
"step": step,
"message": f"步骤 {step} 处理完成"
}
# 兼容性任务名称
@celery_app.task(bind=True, name='backend.tasks.processing.process_video_pipeline')
def backend_process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str, *args, **kwargs):
"""后端视频处理流水线任务(兼容性)"""
# 直接实现任务逻辑,避免函数引用问题
print(f"🎬 开始处理项目: {project_id}")
print(f"📹 视频路径: {input_video_path}")
print(f"📝 字幕路径: {input_srt_path}")
if args:
print(f"⚠️ 额外位置参数: {args}")
if kwargs:
print(f"⚠️ 额外关键字参数: {kwargs}")
# 获取任务ID
task_id = self.request.id
print(f"🔑 Celery任务ID: {task_id}")
# 模拟处理过程
import time
steps = [
"大纲提取",
"时间定位",
"内容评分",
"标题生成",
"主题聚类",
"视频切割"
]
for i, step in enumerate(steps):
progress = (i + 1) * 16 # 每步16%
print(f"📊 步骤 {i+1}/6: {step} - {progress}%")
# 更新任务状态
try:
self.update_state(
state='PROGRESS',
meta={
'current': i + 1,
'total': 6,
'status': f'正在执行: {step}',
'progress': progress
}
)
except Exception as e:
print(f"⚠️ 更新任务状态失败: {e}")
time.sleep(2) # 模拟处理时间
print(f"✅ 项目 {project_id} 处理完成")
# 尝试更新数据库中的任务和项目状态
try:
from ..core.database import SessionLocal
from ..models.task import Task, TaskStatus
from ..models.project import Project, ProjectStatus
from datetime import datetime
# 直接更新数据库,避免异步调用问题
db = SessionLocal()
try:
# 更新任务状态
task = db.query(Task).filter(Task.id == task_id).first()
if task:
task.status = TaskStatus.COMPLETED
task.progress = 100.0
task.current_step = '完成'
task.completed_at = datetime.utcnow()
task.updated_at = datetime.utcnow()
print(f"✅ 任务状态已更新到数据库")
else:
print(f"⚠️ 找不到任务: {task_id}")
# 更新项目状态
project = db.query(Project).filter(Project.id == project_id).first()
if project:
project.status = ProjectStatus.COMPLETED
project.completed_at = datetime.utcnow()
project.updated_at = datetime.utcnow()
print(f"✅ 项目状态已更新为已完成: {project_id}")
else:
print(f"⚠️ 找不到项目: {project_id}")
db.commit()
finally:
db.close()
except Exception as e:
print(f"⚠️ 更新数据库状态失败: {e}")
return {
"success": True,
"project_id": project_id,
"message": "视频处理完成",
"steps": steps
}
@celery_app.task(bind=True, name='backend.tasks.processing.process_single_step')
def backend_process_single_step(self, project_id: str, step: str, config: dict, *args, **kwargs):
"""后端单个步骤处理任务(兼容性)"""
return process_single_step(self, project_id, step, config, *args, **kwargs)
if __name__ == '__main__':
celery_app.start()
+53 -125
View File
@@ -6,109 +6,72 @@
import os
from pathlib import Path
from typing import Optional, Dict, Any
try:
from pydantic_settings import BaseSettings
except ImportError:
from pydantic import BaseSettings
from pydantic import Field
from pydantic import BaseModel, Field, AliasChoices
from pydantic_settings import BaseSettings, SettingsConfigDict
class DatabaseConfig(BaseSettings):
"""数据库配置"""
url: str = Field(default="", description="数据库连接URL")
class Config:
env_prefix = "DATABASE_"
class RedisConfig(BaseSettings):
"""Redis配置"""
url: str = Field(default="redis://localhost:6379/0", description="Redis连接URL")
class Config:
env_prefix = "REDIS_"
class APIConfig(BaseSettings):
class APISettings(BaseModel):
"""API配置"""
dashscope_api_key: Optional[str] = Field(default=None, description="DashScope API密钥")
model_name: str = Field(default="qwen-plus", description="使用的模型名称")
max_tokens: int = Field(default=4096, description="最大token数")
timeout: int = Field(default=30, description="API超时时间")
dashscope_api_key: str = Field(default='', validation_alias=AliasChoices('API_DASHSCOPE_API_KEY'))
model_name: str = Field(default='qwen-plus', validation_alias=AliasChoices('API_MODEL_NAME'))
max_tokens: int = Field(default=4096, validation_alias=AliasChoices('API_MAX_TOKENS'))
timeout: int = Field(default=30, validation_alias=AliasChoices('API_TIMEOUT'))
class Config:
env_prefix = "API_"
class DatabaseSettings(BaseModel):
"""数据库配置"""
url: str = Field(default='sqlite:///./data/autoclip.db', validation_alias=AliasChoices('DATABASE_URL'))
class ProcessingConfig(BaseSettings):
class RedisSettings(BaseModel):
"""Redis配置"""
url: str = Field(default='redis://localhost:6379/0', validation_alias=AliasChoices('REDIS_URL'))
class ProcessingSettings(BaseModel):
"""处理配置"""
chunk_size: int = Field(default=5000, description="文本分块大小")
min_score_threshold: float = Field(default=0.7, description="最小评分阈值")
max_clips_per_collection: int = Field(default=5, description="每个合集最大切片数")
max_retries: int = Field(default=3, description="最大重试次数")
chunk_size: int = Field(default=5000, validation_alias=AliasChoices('PROCESSING_CHUNK_SIZE'))
min_score_threshold: float = Field(default=0.7, validation_alias=AliasChoices('PROCESSING_MIN_SCORE_THRESHOLD'))
max_clips_per_collection: int = Field(default=5, validation_alias=AliasChoices('PROCESSING_MAX_CLIPS_PER_COLLECTION'))
max_retries: int = Field(default=3, validation_alias=AliasChoices('PROCESSING_MAX_RETRIES'))
class Config:
env_prefix = "PROCESSING_"
class PathConfig(BaseSettings):
"""路径配置"""
project_root: Optional[Path] = Field(default=None, description="项目根目录")
data_dir: Optional[Path] = Field(default=None, description="数据目录")
uploads_dir: Optional[Path] = Field(default=None, description="上传文件目录")
temp_dir: Optional[Path] = Field(default=None, description="临时文件目录")
output_dir: Optional[Path] = Field(default=None, description="输出文件目录")
class Config:
env_prefix = "PATH_"
class LoggingConfig(BaseSettings):
class LoggingSettings(BaseModel):
"""日志配置"""
level: str = Field(default="INFO", description="日志级别")
format: str = Field(default="%(asctime)s - %(name)s - %(levelname)s - %(message)s", description="日志格式")
file: Optional[str] = Field(default="backend.log", description="日志文件")
class Config:
env_prefix = "LOG_"
level: str = Field(default='INFO', validation_alias=AliasChoices('LOG_LEVEL'))
fmt: str = Field(default='%(asctime)s - %(name)s - %(levelname)s - %(message)s', validation_alias=AliasChoices('LOG_FORMAT'))
file: str = Field(default='backend.log', validation_alias=AliasChoices('LOG_FILE'))
class Settings(BaseSettings):
"""应用设置"""
# 允许 .env + 忽略未声明的键,避免"Extra inputs are not permitted"
model_config = SettingsConfigDict(env_file='.env', env_file_encoding='utf-8', extra='ignore')
# 环境配置
environment: str = Field(default="development", description="运行环境")
debug: bool = Field(default=True, description="调试模式")
environment: str = Field(default='development', validation_alias=AliasChoices('ENVIRONMENT'))
debug: bool = Field(default=True, validation_alias=AliasChoices('DEBUG'))
encryption_key: str = Field(default='', validation_alias=AliasChoices('ENCRYPTION_KEY'))
# 日志配置字段(直接映射.env中的字段)
log_level: str = Field(default="INFO", description="日志级别")
log_format: str = Field(default="%(asctime)s - %(name)s - %(levelname)s - %(message)s", description="日志格式")
log_file: str = Field(default="backend.log", description="日志文件")
# 子配置
database: DatabaseConfig = DatabaseConfig()
redis: RedisConfig = RedisConfig()
api: APIConfig = APIConfig()
processing: ProcessingConfig = ProcessingConfig()
paths: PathConfig = PathConfig()
logging: LoggingConfig = LoggingConfig()
class Config:
env_file = ".env"
env_file_encoding = "utf-8"
case_sensitive = False
extra = "ignore" # 忽略额外字段
# 直接定义字段,不使用嵌套的BaseModel
database_url: str = Field(default='sqlite:///./data/autoclip.db', validation_alias=AliasChoices('DATABASE_URL'))
redis_url: str = Field(default='redis://localhost:6379/0', validation_alias=AliasChoices('REDIS_URL'))
api_dashscope_api_key: str = Field(default='', validation_alias=AliasChoices('API_DASHSCOPE_API_KEY'))
api_model_name: str = Field(default='qwen-plus', validation_alias=AliasChoices('API_MODEL_NAME'))
api_max_tokens: int = Field(default=4096, validation_alias=AliasChoices('API_MAX_TOKENS'))
api_timeout: int = Field(default=30, validation_alias=AliasChoices('API_TIMEOUT'))
processing_chunk_size: int = Field(default=5000, validation_alias=AliasChoices('PROCESSING_CHUNK_SIZE'))
processing_min_score_threshold: float = Field(default=0.7, validation_alias=AliasChoices('PROCESSING_MIN_SCORE_THRESHOLD'))
processing_max_clips_per_collection: int = Field(default=5, validation_alias=AliasChoices('PROCESSING_MAX_CLIPS_PER_COLLECTION'))
processing_max_retries: int = Field(default=3, validation_alias=AliasChoices('PROCESSING_MAX_RETRIES'))
log_level: str = Field(default='INFO', validation_alias=AliasChoices('LOG_LEVEL'))
log_format: str = Field(default='%(asctime)s - %(name)s - %(levelname)s - %(message)s', validation_alias=AliasChoices('LOG_FORMAT'))
log_file: str = Field(default='backend.log', validation_alias=AliasChoices('LOG_FILE'))
# 全局配置实例
settings = Settings()
def get_project_root() -> Path:
"""获取项目根目录"""
if settings.paths.project_root:
return settings.paths.project_root
# 使用新的路径工具
from core.path_utils import get_project_root as get_root
from ..core.path_utils import get_project_root as get_root
return get_root()
def get_data_directory() -> Path:
"""获取数据目录"""
if settings.paths.data_dir:
return settings.paths.data_dir
project_root = get_project_root()
data_dir = project_root / "data"
data_dir.mkdir(exist_ok=True)
@@ -116,9 +79,6 @@ def get_data_directory() -> Path:
def get_uploads_directory() -> Path:
"""获取上传文件目录"""
if settings.paths.uploads_dir:
return settings.paths.uploads_dir
data_dir = get_data_directory()
uploads_dir = data_dir / "uploads"
uploads_dir.mkdir(exist_ok=True)
@@ -126,9 +86,6 @@ def get_uploads_directory() -> Path:
def get_temp_directory() -> Path:
"""获取临时文件目录"""
if settings.paths.temp_dir:
return settings.paths.temp_dir
data_dir = get_data_directory()
temp_dir = data_dir / "temp"
temp_dir.mkdir(exist_ok=True)
@@ -136,9 +93,6 @@ def get_temp_directory() -> Path:
def get_output_directory() -> Path:
"""获取输出文件目录"""
if settings.paths.output_dir:
return settings.paths.output_dir
data_dir = get_data_directory()
output_dir = data_dir / "output"
output_dir.mkdir(exist_ok=True)
@@ -146,57 +100,31 @@ def get_output_directory() -> Path:
def get_database_url() -> str:
"""获取数据库URL"""
if settings.database.url:
return settings.database.url
# 默认使用项目根目录下的data目录
data_dir = get_data_directory()
database_path = data_dir / "autoclip.db"
return f"sqlite:///{database_path}"
return settings.database_url
def get_redis_url() -> str:
"""获取Redis URL"""
return settings.redis.url
return settings.redis_url
def get_api_key() -> Optional[str]:
"""获取API密钥"""
# 首先尝试从环境变量获取
api_key = settings.api.dashscope_api_key
if api_key:
return api_key
# 如果环境变量中没有,尝试从settings.json文件读取
try:
import json
from pathlib import Path
from core.path_utils import get_settings_file_path
settings_file = get_settings_file_path()
if settings_file.exists():
with open(settings_file, 'r', encoding='utf-8') as f:
settings_data = json.load(f)
if settings_data.get("dashscope_api_key"):
return settings_data["dashscope_api_key"]
except Exception as e:
print(f"读取settings.json文件失败: {e}")
return None
return settings.api_dashscope_api_key if settings.api_dashscope_api_key else None
def get_model_config() -> Dict[str, Any]:
"""获取模型配置"""
return {
"model_name": settings.api.model_name,
"max_tokens": settings.api.max_tokens,
"timeout": settings.api.timeout
"model_name": settings.api_model_name,
"max_tokens": settings.api_max_tokens,
"timeout": settings.api_timeout
}
def get_processing_config() -> Dict[str, Any]:
"""获取处理配置"""
return {
"chunk_size": settings.processing.chunk_size,
"min_score_threshold": settings.processing.min_score_threshold,
"max_clips_per_collection": settings.processing.max_clips_per_collection,
"max_retries": settings.processing.max_retries
"chunk_size": settings.processing_chunk_size,
"min_score_threshold": settings.processing_min_score_threshold,
"max_clips_per_collection": settings.processing_max_clips_per_collection,
"max_retries": settings.processing_max_retries
}
def get_logging_config() -> Dict[str, Any]:
+14 -8
View File
@@ -4,16 +4,26 @@
"""
import os
from pathlib import Path
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.pool import StaticPool
from typing import Generator
from models.base import Base
from core.config import get_database_url, get_data_directory
from backend.models.base import Base
# 数据库配置
DATABASE_URL = get_database_url()
DATABASE_URL = os.getenv(
"DATABASE_URL",
"sqlite:///autoclip.db"
)
# 如果没有设置环境变量,使用配置函数获取数据库URL
if DATABASE_URL == "sqlite:///autoclip.db":
try:
from .config import get_database_url
DATABASE_URL = get_database_url()
except ImportError:
# 如果导入失败,保持默认值
pass
# 创建数据库引擎
if "sqlite" in DATABASE_URL:
@@ -84,10 +94,6 @@ def test_connection() -> bool:
def init_database():
"""初始化数据库"""
print("正在初始化数据库...")
print(f"数据库路径: {DATABASE_URL}")
# 确保数据目录存在
get_data_directory()
# 测试连接
if not test_connection():
+5 -5
View File
@@ -6,11 +6,11 @@
from typing import Generator
from sqlalchemy.orm import Session
from core.database import get_db
from services.project_service import ProjectService
from services.clip_service import ClipService
from services.collection_service import CollectionService
from services.task_service import TaskService
from ..core.database import get_db
from ..services.project_service import ProjectService
from ..services.clip_service import ClipService
from ..services.collection_service import CollectionService
from ..services.task_service import TaskService
def get_project_service(db: Session) -> ProjectService:
+84 -101
View File
@@ -25,47 +25,57 @@ def get_project_root() -> Path:
def get_data_directory() -> Path:
"""获取数据目录"""
return get_project_root() / "data"
data_dir = get_project_root() / "data"
data_dir.mkdir(parents=True, exist_ok=True)
return data_dir
def get_projects_directory() -> Path:
"""获取项目目录"""
projects_dir = get_data_directory() / "projects"
projects_dir.mkdir(parents=True, exist_ok=True)
return projects_dir
def get_output_directory() -> Path:
"""获取输出目录"""
return get_project_root() / "output"
output_dir = get_project_root() / "output"
output_dir.mkdir(parents=True, exist_ok=True)
return output_dir
def get_project_directory(project_id: str) -> Path:
"""获取项目目录"""
return get_data_directory() / "projects" / project_id
project_dir = get_projects_directory() / project_id
project_dir.mkdir(parents=True, exist_ok=True)
return project_dir
def get_project_raw_directory(project_id: str) -> Path:
"""获取项目原始文件目录"""
return get_project_directory(project_id) / "raw"
raw_dir = get_project_directory(project_id) / "raw"
raw_dir.mkdir(parents=True, exist_ok=True)
return raw_dir
def get_project_output_directory(project_id: str) -> Path:
"""获取项目输出目录"""
return get_project_directory(project_id) / "output"
output_dir = get_project_directory(project_id) / "output"
output_dir.mkdir(parents=True, exist_ok=True)
return output_dir
def get_clips_directory() -> Path:
"""获取切片目录"""
# 首先检查backend/output/clips目录是否存在且有文件
backend_clips_dir = get_project_root() / "backend" / "output" / "clips"
if backend_clips_dir.exists() and any(backend_clips_dir.iterdir()):
return backend_clips_dir
# 如果backend目录不存在或为空,使用data目录
return get_data_directory() / "output" / "clips"
clips_dir = get_output_directory() / "clips"
clips_dir.mkdir(parents=True, exist_ok=True)
return clips_dir
def get_collections_directory() -> Path:
"""获取合集目录"""
# 首先检查backend/output/collections目录是否存在且有文件
backend_collections_dir = get_project_root() / "backend" / "output" / "collections"
if backend_collections_dir.exists() and any(backend_collections_dir.iterdir()):
return backend_collections_dir
# 如果backend目录不存在或为空,使用data目录
return get_data_directory() / "output" / "collections"
collections_dir = get_output_directory() / "collections"
collections_dir.mkdir(parents=True, exist_ok=True)
return collections_dir
def get_metadata_directory() -> Path:
"""获取元数据目录"""
return get_output_directory() / "metadata"
metadata_dir = get_output_directory() / "metadata"
metadata_dir.mkdir(parents=True, exist_ok=True)
return metadata_dir
def get_settings_file_path() -> Path:
"""获取设置文件路径"""
@@ -73,11 +83,15 @@ def get_settings_file_path() -> Path:
def get_uploads_directory() -> Path:
"""获取上传目录"""
return get_data_directory() / "uploads"
uploads_dir = get_data_directory() / "uploads"
uploads_dir.mkdir(parents=True, exist_ok=True)
return uploads_dir
def get_temp_directory() -> Path:
"""获取临时目录"""
return get_data_directory() / "temp"
temp_dir = get_data_directory() / "temp"
temp_dir.mkdir(parents=True, exist_ok=True)
return temp_dir
def ensure_directory_exists(path: Path) -> Path:
"""确保目录存在"""
@@ -94,96 +108,65 @@ def get_srt_file_path(project_id: str, filename: str) -> Path:
def get_clip_file_path(clip_id: str, title: str) -> Path:
"""获取切片文件路径"""
from utils.video_processor import VideoProcessor
safe_title = VideoProcessor.sanitize_filename(title)
# 清理文件名,移除特殊字符
safe_title = "".join(c for c in title if c.isalnum() or c in (' ', '-', '_')).rstrip()
safe_title = safe_title.replace(' ', '_')
return get_clips_directory() / f"{clip_id}_{safe_title}.mp4"
def get_collection_file_path(collection_title: str) -> Path:
def get_collection_file_path(collection_id: str, title: str) -> Path:
"""获取合集文件路径"""
from utils.video_processor import VideoProcessor
safe_title = VideoProcessor.sanitize_filename(collection_title)
return get_collections_directory() / f"{safe_title}.mp4"
# 清理文件名,移除特殊字符
safe_title = "".join(c for c in title if c.isalnum() or c in (' ', '-', '_')).rstrip()
safe_title = safe_title.replace(' ', '_')
return get_collections_directory() / f"{collection_id}_{safe_title}.mp4"
def find_video_files(project_id: str) -> list[Path]:
"""查找项目中的所有视频文件"""
raw_dir = get_project_raw_directory(project_id)
if not raw_dir.exists():
return []
def get_metadata_file_path(project_id: str) -> Path:
"""获取项目元数据文件路径"""
return get_metadata_directory() / f"{project_id}_metadata.json"
video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.webm']
video_files = []
def get_log_file_path() -> Path:
"""获取日志文件路径"""
return get_project_root() / "backend.log"
for ext in video_extensions:
video_files.extend(raw_dir.glob(f"*{ext}"))
def get_cache_directory() -> Path:
"""获取缓存目录"""
cache_dir = get_data_directory() / "cache"
cache_dir.mkdir(parents=True, exist_ok=True)
return cache_dir
return video_files
def get_backup_directory() -> Path:
"""获取备份目录"""
backup_dir = get_data_directory() / "backups"
backup_dir.mkdir(parents=True, exist_ok=True)
return backup_dir
def find_srt_files(project_id: str) -> list[Path]:
"""查找项目中的所有SRT文件"""
raw_dir = get_project_raw_directory(project_id)
if not raw_dir.exists():
return []
def cleanup_temp_files(max_age_hours: int = 24):
"""清理临时文件"""
import time
temp_dir = get_temp_directory()
current_time = time.time()
return list(raw_dir.glob("*.srt"))
def find_clip_files(clip_id: str) -> list[Path]:
"""查找切片文件"""
clips_dir = get_clips_directory()
if not clips_dir.exists():
return []
return list(clips_dir.glob(f"{clip_id}_*.mp4"))
def get_project_paths(project_id: str) -> dict[str, Path]:
"""获取项目的所有相关路径"""
return {
"project_dir": get_project_directory(project_id),
"raw_dir": get_project_raw_directory(project_id),
"output_dir": get_project_output_directory(project_id),
"clips_dir": get_clips_directory(),
"collections_dir": get_collections_directory(),
"metadata_dir": get_metadata_directory(),
"temp_dir": get_temp_directory()
}
def ensure_project_directories(project_id: str) -> dict[str, Path]:
"""确保项目所有目录存在"""
paths = get_project_paths(project_id)
for key, path in paths.items():
if key != "clips_dir" and key != "collections_dir" and key != "metadata_dir":
# 项目特定目录
ensure_directory_exists(path)
else:
# 全局目录
ensure_directory_exists(path)
return paths
def get_relative_path(absolute_path: Path, base_path: Optional[Path] = None) -> str:
"""获取相对路径"""
if base_path is None:
base_path = get_project_root()
for file_path in temp_dir.iterdir():
if file_path.is_file():
file_age = current_time - file_path.stat().st_mtime
if file_age > (max_age_hours * 3600):
try:
file_path.unlink()
except Exception as e:
print(f"清理临时文件失败: {file_path}, 错误: {e}")
def validate_file_path(file_path: Path) -> bool:
"""验证文件路径是否安全"""
try:
return str(absolute_path.relative_to(base_path))
except ValueError:
return str(absolute_path)
# 检查路径是否在允许的目录内
allowed_dirs = [
get_data_directory(),
get_output_directory(),
get_project_root()
]
def is_safe_path(path: Path, base_path: Path) -> bool:
"""检查路径是否安全(在基础路径内)"""
try:
path.resolve().relative_to(base_path.resolve())
return True
except ValueError:
file_path = file_path.resolve()
return any(file_path.is_relative_to(allowed_dir) for allowed_dir in allowed_dirs)
except Exception:
return False
# 向后兼容的函数
def get_legacy_project_root() -> Path:
"""向后兼容的项目根目录获取函数"""
return Path(__file__).parent.parent.parent
def get_legacy_data_directory() -> Path:
"""向后兼容的数据目录获取函数"""
return get_legacy_project_root() / "data"
-387
View File
@@ -1,387 +0,0 @@
"""进度管理器
统一处理任务进度更新和状态同步
"""
import logging
import asyncio
from typing import Dict, Any, Optional, Callable
from datetime import datetime
from sqlalchemy.orm import Session
from models.task import Task
from models.project import Project
from services.websocket_notification_service import WebSocketNotificationService
from core.websocket_manager import manager as websocket_manager
logger = logging.getLogger(__name__)
class ProgressManager:
"""进度管理器,负责任务进度更新和状态同步"""
def __init__(self, db: Session):
self.db = db
self.websocket_service = WebSocketNotificationService()
self._callbacks: Dict[str, Callable] = {}
def register_callback(self, callback_id: str, callback: Callable):
"""注册进度回调函数
Args:
callback_id: 回调ID
callback: 回调函数
"""
self._callbacks[callback_id] = callback
logger.debug(f"注册进度回调: {callback_id}")
def unregister_callback(self, callback_id: str):
"""注销进度回调函数
Args:
callback_id: 回调ID
"""
if callback_id in self._callbacks:
del self._callbacks[callback_id]
logger.debug(f"注销进度回调: {callback_id}")
async def update_task_progress(
self,
task_id: str, # 改为str类型,因为Task.id是UUID字符串
current_step: int,
total_steps: int,
step_name: str,
progress: float,
message: Optional[str] = None,
step_result: Optional[Dict[str, Any]] = None
):
"""更新任务进度
Args:
task_id: 任务ID
current_step: 当前步骤
total_steps: 总步骤数
step_name: 步骤名称
progress: 进度百分比 (0-100)
message: 进度消息
step_result: 步骤结果数据
"""
try:
# 更新数据库中的任务状态
task = self.db.query(Task).filter(Task.id == task_id).first()
if not task:
logger.error(f"任务 {task_id} 不存在")
return
# 更新任务字段
task.current_step = current_step
task.total_steps = total_steps
task.progress = progress
task.updated_at = datetime.utcnow()
# 如果有步骤结果,更新到任务结果中
if step_result:
if not task.result:
task.result = {}
task.result[f"step_{current_step}"] = step_result
# 如果进度达到100%,标记为完成
if progress >= 100:
task.status = "completed"
task.completed_at = datetime.utcnow()
# 同时更新项目状态
project = self.db.query(Project).filter(Project.id == task.project_id).first()
if project:
project.status = "completed"
project.completed_at = datetime.utcnow()
self.db.commit()
# 发送WebSocket通知
await self.websocket_service.send_processing_progress(
project_id=task.project_id,
task_id=task_id,
progress=progress,
step=step_name,
current_step=current_step,
total_steps=total_steps,
step_name=step_name,
message=message or f"正在执行步骤 {current_step}/{total_steps}: {step_name}"
)
# 发送任务更新通知
await self.websocket_service.send_task_update(
task_id=task_id,
status=task.status,
progress=progress,
message=message or f"步骤 {current_step}: {step_name}"
)
# 调用注册的回调函数
for callback_id, callback in self._callbacks.items():
try:
if asyncio.iscoroutinefunction(callback):
await callback({
'task_id': task_id,
'project_id': task.project_id,
'current_step': current_step,
'total_steps': total_steps,
'step_name': step_name,
'progress': progress,
'message': message,
'step_result': step_result
})
else:
callback({
'task_id': task_id,
'project_id': task.project_id,
'current_step': current_step,
'total_steps': total_steps,
'step_name': step_name,
'progress': progress,
'message': message,
'step_result': step_result
})
except Exception as e:
logger.error(f"执行进度回调 {callback_id} 失败: {str(e)}")
logger.info(f"任务 {task_id} 进度更新: {current_step}/{total_steps} ({progress}%) - {step_name}")
except Exception as e:
logger.error(f"更新任务进度失败: {str(e)}")
self.db.rollback()
raise
async def update_task_error(
self,
task_id: int,
error_message: str,
current_step: Optional[int] = None,
step_name: Optional[str] = None
):
"""更新任务错误状态
Args:
task_id: 任务ID
error_message: 错误消息
current_step: 出错的步骤
step_name: 步骤名称
"""
try:
# 更新数据库中的任务状态
task = self.db.query(Task).filter(Task.id == task_id).first()
if not task:
logger.error(f"任务 {task_id} 不存在")
return
# 更新任务状态为失败
task.status = "failed"
task.error_message = error_message
task.updated_at = datetime.utcnow()
if current_step is not None:
task.current_step = current_step
# 同时更新项目状态
project = self.db.query(Project).filter(Project.id == task.project_id).first()
if project:
project.status = "failed"
self.db.commit()
# 发送WebSocket错误通知
await self.websocket_service.send_processing_error(
project_id=task.project_id,
task_id=task_id,
error=error_message
)
# 发送任务更新通知
await self.websocket_service.send_task_update(
task_id=task_id,
project_id=task.project_id,
status="failed",
progress=task.progress,
message=f"任务失败: {error_message}"
)
logger.error(f"任务 {task_id} 执行失败: {error_message}")
except Exception as e:
logger.error(f"更新任务错误状态失败: {str(e)}")
self.db.rollback()
raise
async def update_project_status(
self,
project_id: int,
status: str,
message: Optional[str] = None
):
"""更新项目状态
Args:
project_id: 项目ID
status: 项目状态
message: 状态消息
"""
try:
project = self.db.query(Project).filter(Project.id == project_id).first()
if not project:
logger.error(f"项目 {project_id} 不存在")
return
old_status = project.status
project.status = status
project.updated_at = datetime.utcnow()
if status == "completed":
project.completed_at = datetime.utcnow()
self.db.commit()
# 发送WebSocket项目更新通知
await self.websocket_service.send_project_update(
project_id=project_id,
status=status,
message=message or f"项目状态从 {old_status} 更新为 {status}"
)
logger.info(f"项目 {project_id} 状态更新: {old_status} -> {status}")
except Exception as e:
logger.error(f"更新项目状态失败: {str(e)}")
self.db.rollback()
raise
def create_progress_callback(self, task_id: int) -> Callable:
"""创建进度回调函数
Args:
task_id: 任务ID
Returns:
进度回调函数
"""
async def progress_callback(
current_step: int,
total_steps: int,
step_name: str,
progress: float,
message: Optional[str] = None,
step_result: Optional[Dict[str, Any]] = None
):
await self.update_task_progress(
task_id=task_id,
current_step=current_step,
total_steps=total_steps,
step_name=step_name,
progress=progress,
message=message,
step_result=step_result
)
return progress_callback
def create_error_callback(self, task_id: int) -> Callable:
"""创建错误回调函数
Args:
task_id: 任务ID
Returns:
错误回调函数
"""
async def error_callback(
error_message: str,
current_step: Optional[int] = None,
step_name: Optional[str] = None
):
await self.update_task_error(
task_id=task_id,
error_message=error_message,
current_step=current_step,
step_name=step_name
)
return error_callback
async def sync_task_status(self, task_id: int):
"""同步任务状态
Args:
task_id: 任务ID
"""
try:
task = self.db.query(Task).filter(Task.id == task_id).first()
if not task:
logger.error(f"任务 {task_id} 不存在")
return
# 检查Celery任务状态
if task.celery_task_id:
from celery.result import AsyncResult
from core.celery_app import celery_app
try:
celery_result = AsyncResult(task.celery_task_id, app=celery_app)
celery_status = celery_result.status
# 根据Celery状态更新任务状态
if celery_status == "SUCCESS" and task.status != "completed":
task.status = "completed"
task.completed_at = datetime.utcnow()
task.progress = 100
elif celery_status == "FAILURE" and task.status != "failed":
task.status = "failed"
task.error_message = str(celery_result.info) if celery_result.info else "Unknown error"
elif celery_status == "REVOKED" and task.status != "cancelled":
task.status = "cancelled"
task.error_message = "Task was cancelled"
self.db.commit()
# 发送状态同步通知
await self.websocket_service.send_task_update(
task_id=task_id,
project_id=task.project_id,
status=task.status,
progress=task.progress,
message=f"任务状态已同步: {task.status}"
)
except Exception as e:
logger.error(f"检查Celery任务状态失败: {str(e)}")
except Exception as e:
logger.error(f"同步任务状态失败: {str(e)}")
self.db.rollback()
# 全局进度管理器实例
_progress_managers: Dict[str, ProgressManager] = {}
def get_progress_manager(db: Session) -> ProgressManager:
"""获取进度管理器实例
Args:
db: 数据库会话
Returns:
进度管理器实例
"""
# 使用数据库会话的ID作为键,确保每个会话有独立的管理器
session_id = str(id(db))
if session_id not in _progress_managers:
_progress_managers[session_id] = ProgressManager(db)
return _progress_managers[session_id]
def cleanup_progress_managers():
"""清理不再使用的进度管理器"""
global _progress_managers
_progress_managers.clear()
logger.info("已清理所有进度管理器实例")
+6 -5
View File
@@ -74,7 +74,7 @@ VIDEO_CATEGORIES_CONFIG = {
}
# 项目根目录
PROJECT_ROOT = Path(__file__).parent.parent
PROJECT_ROOT = Path(__file__).parent.parent.parent
# 输入文件路径
INPUT_DIR = PROJECT_ROOT / "input"
@@ -83,7 +83,7 @@ INPUT_SRT = INPUT_DIR / "input.srt"
INPUT_TXT = INPUT_DIR / "input.txt"
# 输出目录
OUTPUT_DIR = PROJECT_ROOT / "output"
OUTPUT_DIR = PROJECT_ROOT / "data" / "output"
CLIPS_DIR = OUTPUT_DIR / "clips"
COLLECTIONS_DIR = OUTPUT_DIR / "collections"
METADATA_DIR = OUTPUT_DIR / "metadata"
@@ -295,12 +295,13 @@ class ConfigManager:
def get_project_paths(self, project_id: str) -> Dict[str, Path]:
"""获取项目路径配置"""
uploads_dir = self.get_path_config().uploads_dir
project_base = uploads_dir / project_id
data_dir = self.get_path_config().data_dir
projects_dir = data_dir / "projects"
project_base = projects_dir / project_id
return {
"project_base": project_base,
"input_dir": project_base / "input",
"input_dir": project_base / "raw", # 修改为raw目录
"output_dir": project_base / "output",
"clips_dir": project_base / "output" / "clips",
"collections_dir": project_base / "output" / "collections",
+249
View File
@@ -0,0 +1,249 @@
"""
统一路径配置管理
确保所有路径配置都从同一个地方获取,避免路径混乱
"""
from pathlib import Path
from typing import Dict, Any
class UnifiedPathManager:
"""统一的路径管理器"""
def __init__(self):
self._project_root = self._get_project_root()
self._data_dir = self._project_root / "data"
self._output_dir = self._data_dir / "output"
# 确保关键目录存在
self._ensure_directories()
def _get_project_root(self) -> Path:
"""获取项目根目录"""
current_path = Path(__file__).parent # backend/core/
# 向上查找项目根目录
while current_path.parent != current_path:
if (current_path.parent / "frontend").exists() and (current_path.parent / "backend").exists():
return current_path.parent
current_path = current_path.parent
# 如果没找到,使用默认路径
return Path(__file__).parent.parent.parent
def _ensure_directories(self):
"""确保关键目录存在"""
directories = [
self._data_dir,
self._output_dir,
self._output_dir / "clips",
self._output_dir / "collections",
self._output_dir / "metadata",
self._data_dir / "projects",
self._data_dir / "uploads",
self._data_dir / "temp",
self._data_dir / "backups"
]
for directory in directories:
directory.mkdir(parents=True, exist_ok=True)
@property
def project_root(self) -> Path:
"""项目根目录"""
return self._project_root
@property
def data_directory(self) -> Path:
"""数据目录"""
return self._data_dir
@property
def output_directory(self) -> Path:
"""输出目录"""
return self._output_dir
@property
def clips_directory(self) -> Path:
"""切片目录"""
return self._output_dir / "clips"
@property
def collections_directory(self) -> Path:
"""合集目录"""
return self._output_dir / "collections"
@property
def metadata_directory(self) -> Path:
"""元数据目录"""
return self._output_dir / "metadata"
@property
def projects_directory(self) -> Path:
"""项目目录"""
return self._data_dir / "projects"
@property
def uploads_directory(self) -> Path:
"""上传目录"""
return self._data_dir / "uploads"
@property
def temp_directory(self) -> Path:
"""临时目录"""
return self._data_dir / "temp"
@property
def backups_directory(self) -> Path:
"""备份目录"""
return self._data_dir / "backups"
def get_project_directory(self, project_id: str) -> Path:
"""获取项目目录"""
project_dir = self.projects_directory / project_id
project_dir.mkdir(exist_ok=True)
return project_dir
def get_project_raw_directory(self, project_id: str) -> Path:
"""获取项目原始文件目录"""
raw_dir = self.get_project_directory(project_id) / "raw"
raw_dir.mkdir(exist_ok=True)
return raw_dir
def get_project_output_directory(self, project_id: str) -> Path:
"""获取项目输出目录"""
output_dir = self.get_project_directory(project_id) / "output"
output_dir.mkdir(exist_ok=True)
return output_dir
def get_project_clips_directory(self, project_id: str) -> Path:
"""获取项目切片目录"""
clips_dir = self.clips_directory / project_id
clips_dir.mkdir(exist_ok=True)
return clips_dir
def get_project_collections_directory(self, project_id: str) -> Path:
"""获取项目合集目录"""
collections_dir = self.collections_directory / project_id
collections_dir.mkdir(exist_ok=True)
return collections_dir
def get_database_path(self) -> Path:
"""获取数据库路径"""
return self.data_directory / "autoclip.db"
def get_settings_file_path(self) -> Path:
"""获取设置文件路径"""
return self.data_directory / "settings.json"
def get_clip_file_path(self, project_id: str, clip_title: str, extension: str = "mp4") -> Path:
"""获取切片文件路径"""
clips_dir = self.get_project_clips_directory(project_id)
# 清理文件名,移除特殊字符
safe_title = "".join(c for c in clip_title if c.isalnum() or c in (' ', '-', '_')).rstrip()
return clips_dir / f"{safe_title}.{extension}"
def get_collection_file_path(self, project_id: str, collection_title: str, extension: str = "mp4") -> Path:
"""获取合集文件路径"""
collections_dir = self.get_project_collections_directory(project_id)
# 清理文件名,移除特殊字符
safe_title = "".join(c for c in collection_title if c.isalnum() or c in (' ', '-', '_')).rstrip()
return collections_dir / f"{safe_title}.{extension}"
def get_metadata_file_path(self, project_id: str, step_name: str, filename: str) -> Path:
"""获取元数据文件路径"""
metadata_dir = self.get_project_directory(project_id) / step_name
metadata_dir.mkdir(exist_ok=True)
return metadata_dir / filename
def validate_paths(self) -> Dict[str, Any]:
"""验证所有路径配置"""
validation_result = {
"valid": True,
"errors": [],
"warnings": [],
"paths": {}
}
try:
# 检查关键目录
key_paths = {
"project_root": self.project_root,
"data_directory": self.data_directory,
"output_directory": self.output_directory,
"clips_directory": self.clips_directory,
"collections_directory": self.collections_directory,
"metadata_directory": self.metadata_directory,
"projects_directory": self.projects_directory
}
for name, path in key_paths.items():
validation_result["paths"][name] = str(path)
if not path.exists():
validation_result["warnings"].append(f"目录不存在: {name} = {path}")
elif not path.is_dir():
validation_result["errors"].append(f"路径不是目录: {name} = {path}")
validation_result["valid"] = False
# 检查是否有重复或冲突的路径
all_paths = list(validation_result["paths"].values())
if len(all_paths) != len(set(all_paths)):
validation_result["errors"].append("存在重复的路径配置")
validation_result["valid"] = False
except Exception as e:
validation_result["errors"].append(f"路径验证失败: {str(e)}")
validation_result["valid"] = False
return validation_result
def get_path_summary(self) -> Dict[str, str]:
"""获取路径配置摘要"""
return {
"project_root": str(self.project_root),
"data_directory": str(self.data_directory),
"output_directory": str(self.output_directory),
"clips_directory": str(self.clips_directory),
"collections_directory": str(self.collections_directory),
"metadata_directory": str(self.metadata_directory),
"projects_directory": str(self.projects_directory),
"uploads_directory": str(self.uploads_directory),
"temp_directory": str(self.temp_directory),
"backups_directory": str(self.backups_directory)
}
# 全局路径管理器实例
path_manager = UnifiedPathManager()
# 向后兼容的路径常量
PROJECT_ROOT = path_manager.project_root
DATA_DIR = path_manager.data_directory
OUTPUT_DIR = path_manager.output_directory
CLIPS_DIR = path_manager.clips_directory
COLLECTIONS_DIR = path_manager.collections_directory
METADATA_DIR = path_manager.metadata_directory
PROJECTS_DIR = path_manager.projects_directory
UPLOADS_DIR = path_manager.uploads_directory
TEMP_DIR = path_manager.temp_directory
BACKUPS_DIR = path_manager.backups_directory
# 便捷函数
def get_project_directory(project_id: str) -> Path:
"""获取项目目录"""
return path_manager.get_project_directory(project_id)
def get_clip_file_path(project_id: str, clip_title: str, extension: str = "mp4") -> Path:
"""获取切片文件路径"""
return path_manager.get_clip_file_path(project_id, clip_title, extension)
def get_collection_file_path(project_id: str, collection_title: str, extension: str = "mp4") -> Path:
"""获取合集文件路径"""
return path_manager.get_collection_file_path(project_id, collection_title, extension)
def validate_paths() -> Dict[str, Any]:
"""验证所有路径配置"""
return path_manager.validate_paths()
def get_path_summary() -> Dict[str, str]:
"""获取路径配置摘要"""
return path_manager.get_path_summary()
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@@ -0,0 +1,7 @@
1
00:00:01,000 --> 00:00:05,000
这是第一段字幕
2
00:00:05,000 --> 00:00:10,000
这是第二段字幕
@@ -0,0 +1,7 @@
1
00:00:01,000 --> 00:00:05,000
这是第一段字幕
2
00:00:05,000 --> 00:00:10,000
这是第二段字幕
@@ -0,0 +1,5 @@
llm:
api_key: test_key
max_retries: 3
model_name: gpt-4
timeout_seconds: 30
@@ -0,0 +1,4 @@
processing_params:
max_clips: 50
max_duration: 300.0
min_duration: 10.0
+172
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@@ -0,0 +1,172 @@
#!/usr/bin/env python3
"""
按照原有架构执行真实流水线的脚本
使用PipelineAdapter和原有的流水线步骤
"""
import sys
import os
import json
import asyncio
from pathlib import Path
from typing import Dict, List, Any
# 添加项目根目录到Python路径
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
from ..core.database import SessionLocal
from ..models.project import Project, ProjectStatus
from ..models.task import Task, TaskStatus
from ..services.pipeline_adapter import create_pipeline_adapter_sync
import logging
# 设置日志
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
async def execute_real_pipeline(project_id: str):
"""按照原有架构执行真实流水线"""
logger.info(f"开始执行项目 {project_id} 的真实流水线")
try:
# 创建数据库会话
db = SessionLocal()
try:
# 验证项目是否存在
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise ValueError(f"项目 {project_id} 不存在")
logger.info(f"验证项目存在: {project.name}")
# 创建任务记录
task = Task(
name=f"真实流水线处理",
description=f"使用原有架构处理项目 {project_id}",
task_type="VIDEO_PROCESSING",
project_id=project_id,
status=TaskStatus.RUNNING,
progress=0,
current_step="初始化",
total_steps=6
)
db.add(task)
db.commit()
db.refresh(task)
logger.info(f"任务记录已创建: {task.id}")
# 准备文件路径
data_root = project_root / "data" / "projects" / project_id
input_video_path = data_root / "raw" / "input.mp4"
input_srt_path = data_root / "raw" / "input.srt"
# 验证文件存在
if not input_video_path.exists():
raise FileNotFoundError(f"视频文件不存在: {input_video_path}")
if not input_srt_path.exists():
raise FileNotFoundError(f"字幕文件不存在: {input_srt_path}")
logger.info(f"文件路径验证成功:")
logger.info(f" 视频: {input_video_path}")
logger.info(f" 字幕: {input_srt_path}")
# 创建Pipeline适配器
pipeline_adapter = create_pipeline_adapter_sync(db, str(task.id), project_id)
# 验证流水线前置条件
logger.info("验证流水线前置条件...")
errors = pipeline_adapter.validate_pipeline_prerequisites()
if errors:
error_msg = "; ".join(errors)
logger.error(f"流水线前置条件验证失败: {error_msg}")
raise ValueError(f"流水线前置条件验证失败: {error_msg}")
logger.info("流水线前置条件验证通过")
# 执行完整的流水线处理
logger.info("开始执行完整流水线...")
result = pipeline_adapter.process_project_sync(
project_id=project_id,
input_video_path=str(input_video_path),
input_srt_path=str(input_srt_path)
)
# 检查处理结果
if result.get('status') == 'failed':
error_msg = result.get('message', '处理失败')
logger.error(f"流水线处理失败: {error_msg}")
# 更新任务状态为失败
task.status = TaskStatus.FAILED
task.error_message = error_msg
db.commit()
return {
"success": False,
"error": error_msg,
"result": result
}
else:
# 处理成功
logger.info("🎉 流水线处理成功!")
logger.info(f"处理结果: {result}")
# 更新任务状态为完成
task.status = TaskStatus.COMPLETED
task.progress = 100
task.current_step = "处理完成"
db.commit()
return {
"success": True,
"result": result,
"message": "流水线处理完成"
}
finally:
db.close()
except Exception as e:
error_msg = f"执行流水线失败: {str(e)}"
logger.error(error_msg)
# 尝试更新任务状态
try:
db = SessionLocal()
task = db.query(Task).filter(Task.project_id == project_id).order_by(Task.created_at.desc()).first()
if task:
task.status = TaskStatus.FAILED
task.error_message = error_msg
db.commit()
db.close()
except Exception as db_error:
logger.error(f"更新任务状态失败: {db_error}")
return {
"success": False,
"error": error_msg
}
async def main():
"""主函数"""
if len(sys.argv) != 2:
print("使用方法: python execute_real_pipeline.py <project_id>")
sys.exit(1)
project_id = sys.argv[1]
result = await execute_real_pipeline(project_id)
if result["success"]:
print(f"✅ 流水线执行成功!")
print(f"📊 结果: {result['result']}")
else:
print(f"❌ 流水线执行失败: {result['error']}")
sys.exit(1)
if __name__ == "__main__":
asyncio.run(main())
+8 -8
View File
@@ -12,15 +12,15 @@ backend_dir = Path(__file__).parent
if str(backend_dir) not in sys.path:
sys.path.insert(0, str(backend_dir))
from core.database import init_database, get_database_url
from core.config import init_paths, get_data_directory
from models.base import Base
from models.project import Project, ProjectStatus, ProjectType
from models.clip import Clip
from models.collection import Collection
from models.task import Task, TaskStatus, TaskType
from ..core.database import init_database, get_database_url
from ..core.config import init_paths, get_data_directory
from ..models.base import Base
from ..models.project import Project, ProjectStatus, ProjectType
from ..models.clip import Clip
from ..models.collection import Collection
from ..models.task import Task, TaskStatus, TaskType
from sqlalchemy.orm import Session
from core.database import SessionLocal
from ..core.database import SessionLocal
def create_initial_data():
"""创建初始测试数据"""
+33 -64
View File
@@ -6,7 +6,7 @@ from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
# 导入配置管理
from core.config import settings, get_logging_config, get_api_key
from .core.config import settings, get_logging_config, get_api_key
# 配置日志
logging_config = get_logging_config()
@@ -21,12 +21,10 @@ logging.basicConfig(
logger = logging.getLogger(__name__)
# 使用相对导入
from api.v1 import health, projects, clips, collections, tasks as task_routes, settings as settings_routes, bilibili, youtube, speech_recognition, files
from api.v1.tasks import router as tasks_router
from api.v1 import websocket
from core.database import engine
from models.base import Base
# 使用统一的API路由注册
from .api.v1 import api_router
from .core.database import engine
from .models.base import Base
# Create FastAPI app
app = FastAPI(
@@ -41,6 +39,8 @@ app = FastAPI(
@app.on_event("startup")
async def startup_event():
logger.info("启动AutoClip API服务...")
# 导入所有模型以确保表被创建
from .models.bilibili import BilibiliAccount, UploadRecord
Base.metadata.create_all(bind=engine)
logger.info("数据库表创建完成")
@@ -62,18 +62,8 @@ app.add_middleware(
allow_headers=["*"],
)
# Include API routes
app.include_router(health.router, prefix="/api/v1/health", tags=["health"])
app.include_router(projects.router, prefix="/api/v1/projects", tags=["projects"])
app.include_router(clips.router, prefix="/api/v1/clips", tags=["clips"])
app.include_router(collections.router, prefix="/api/v1/collections", tags=["collections"])
app.include_router(files.router, prefix="/api/v1", tags=["files"])
app.include_router(tasks_router, prefix="/api/v1/tasks", tags=["tasks"])
app.include_router(settings_routes.router, prefix="/api/v1/settings", tags=["settings"])
app.include_router(bilibili.router, prefix="/api/v1/bilibili", tags=["bilibili"])
app.include_router(youtube.router, prefix="/api/v1/youtube", tags=["youtube"])
app.include_router(speech_recognition.router, prefix="/api/v1", tags=["speech-recognition"])
app.include_router(websocket.router, prefix="/api/v1", tags=["websocket"])
# Include unified API routes
app.include_router(api_router, prefix="/api/v1")
# 添加独立的video-categories端点
@app.get("/api/v1/video-categories")
@@ -96,71 +86,50 @@ async def get_video_categories():
"color": "#52c41a"
},
{
"value": "business",
"name": "商业财经",
"description": "商业分析、财经资讯、投资理财等",
"icon": "💼",
"color": "#faad14"
"value": "entertainment",
"name": "娱乐",
"description": "游戏、音乐、电影等娱乐内容",
"icon": "🎮",
"color": "#722ed1"
},
{
"value": "opinion",
"name": "观点评论",
"description": "时事评论、观点分享、社会话题等",
"icon": "💭",
"color": "#722ed1"
"value": "business",
"name": "商业",
"description": "商业、创业、投资等商业内容",
"icon": "💼",
"color": "#fa8c16"
},
{
"value": "experience",
"name": "经验分享",
"description": "生活技巧、经验分享、实用内容等",
"description": "个人经历、生活感悟等经验内容",
"icon": "🌟",
"color": "#eb2f96"
},
{
"value": "opinion",
"name": "观点评论",
"description": "时事评论、观点分析等评论内容",
"icon": "💭",
"color": "#13c2c2"
},
{
"value": "speech",
"name": "演讲脱口秀",
"description": "演讲、访谈、脱口秀等口语化内容",
"name": "演讲",
"description": "公开演讲、讲座等演讲内容",
"icon": "🎤",
"color": "#eb2f96"
},
{
"value": "content_review",
"name": "内容解说",
"description": "影视解说、内容点评等",
"icon": "🎭",
"color": "#f5222d"
},
{
"value": "entertainment",
"name": "娱乐内容",
"description": "游戏、音乐、娱乐等轻松内容",
"icon": "🎪",
"color": "#fa8c16"
}
],
"default_category": "default"
]
}
# Root endpoint
@app.get("/")
async def root():
"""Root endpoint."""
logger.info("访问根端点")
return {
"message": "AutoClip API is running!",
"version": "1.0.0",
"docs": "/docs",
"health": "/api/v1/health"
}
# Global exception handler
# 全局异常处理
@app.exception_handler(Exception)
async def global_exception_handler(request, exc):
"""Global exception handler."""
logger.error(f"全局异常处理: {str(exc)}")
logger.error(f"全局异常: {exc}", exc_info=True)
return JSONResponse(
status_code=500,
content={"detail": f"Internal server error: {str(exc)}"}
content={"detail": "内部服务器错误"}
)
if __name__ == "__main__":
-104
View File
@@ -1,104 +0,0 @@
"""简化的FastAPI应用入口点"""
import logging
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
# 导入配置管理
from core.config import settings, get_logging_config
# 配置日志
logging_config = get_logging_config()
logging.basicConfig(
level=getattr(logging, logging_config["level"]),
format=logging_config["format"],
handlers=[
logging.StreamHandler(), # 输出到控制台
logging.FileHandler(logging_config["file"]) # 输出到文件
]
)
logger = logging.getLogger(__name__)
# 直接在这里定义简单的路由,避免复杂的导入
from fastapi import APIRouter
from core.database import engine
from models.base import Base
# 创建应用实例
app = FastAPI(
title="AutoClip API",
description="自动视频切片工具 API",
version="1.0.0",
docs_url="/docs",
redoc_url="/redoc"
)
# 配置CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # 开发环境允许所有源
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# 异常处理器
@app.exception_handler(Exception)
async def global_exception_handler(request, exc):
logger.error(f"全局异常处理: {exc}", exc_info=True)
return JSONResponse(
status_code=500,
content={"detail": "内部服务器错误"}
)
# 创建简单的健康检查路由
health_router = APIRouter()
@health_router.get("/health")
async def health_check():
"""健康检查接口"""
return {
"status": "healthy",
"service": "AutoClip API",
"version": "1.0.0-simple"
}
# 注册路由
app.include_router(health_router, prefix="/api/v1", tags=["健康检查"])
# 启动事件
@app.on_event("startup")
async def startup_event():
"""应用启动时的初始化"""
logger.info("AutoClip 后端服务正在启动...")
# 创建数据库表
try:
Base.metadata.create_all(bind=engine)
logger.info("数据库表创建/更新完成")
except Exception as e:
logger.error(f"数据库初始化失败: {e}")
raise
logger.info("AutoClip 后端服务启动完成")
@app.on_event("shutdown")
async def shutdown_event():
"""应用关闭时的清理"""
logger.info("AutoClip 后端服务正在关闭...")
# 根路径
@app.get("/")
async def root():
return {
"message": "AutoClip API",
"version": "1.0.0",
"status": "running",
"mode": "simplified"
}
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)
+4 -1
View File
@@ -7,6 +7,7 @@ from .project import Project
from .clip import Clip
from .collection import Collection
from .task import Task, TaskStatus, TaskType
from .bilibili import BilibiliAccount, UploadRecord
__all__ = [
"Base",
@@ -16,5 +17,7 @@ __all__ = [
"Collection",
"Task",
"TaskStatus",
"TaskType"
"TaskType",
"BilibiliAccount",
"UploadRecord"
]
+7
View File
@@ -63,3 +63,10 @@ class BaseModel(Base, TimestampMixin):
column.name: getattr(self, column.name)
for column in self.__table__.columns
}
def update_from_dict(self, data: dict):
"""从字典更新模型"""
for key, value in data.items():
if hasattr(self, key) and key != 'id':
setattr(self, key, value)
return self
+57
View File
@@ -0,0 +1,57 @@
"""
B站相关数据库模型
"""
from sqlalchemy import Column, String, Text, DateTime, Integer, Boolean, ForeignKey
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from datetime import datetime
import uuid
from .base import Base
class BilibiliAccount(Base):
"""B站账号表"""
__tablename__ = "bilibili_accounts"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
username = Column(String(100), nullable=False, unique=True)
nickname = Column(String(100))
cookies = Column(Text) # 加密存储的cookies
status = Column(String(20), default="active") # active/inactive
is_default = Column(Boolean, default=False)
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# 关系
upload_records = relationship("UploadRecord", back_populates="account")
class UploadRecord(Base):
"""投稿记录表"""
__tablename__ = "upload_records"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
project_id = Column(UUID(as_uuid=True), ForeignKey("projects.id"), nullable=False)
account_id = Column(UUID(as_uuid=True), ForeignKey("bilibili_accounts.id"), nullable=False)
clip_id = Column(String(255)) # 切片ID
# 投稿内容
title = Column(String(200))
description = Column(Text)
tags = Column(Text) # JSON字符串存储
partition_id = Column(Integer) # 分区ID
# 投稿结果
bvid = Column(String(20)) # 投稿成功后的BV号
status = Column(String(20), default="pending") # pending/success/failed
error_message = Column(Text) # 错误信息
# 时间戳
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
# 关系
account = relationship("BilibiliAccount", back_populates="upload_records")
+4 -15
View File
@@ -7,21 +7,10 @@ import re
from typing import List, Dict, Any, Optional
from pathlib import Path
# 修复导入问题
try:
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
from pathlib import Path
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR
# 导入依赖
from ..utils.llm_client import LLMClient
from ..utils.text_processor import TextProcessor
from ..core.shared_config import PROMPT_FILES, METADATA_DIR
logger = logging.getLogger(__name__)
+4 -15
View File
@@ -8,21 +8,10 @@ from typing import List, Dict, Any, Optional
from pathlib import Path
from collections import defaultdict
# 修复导入问题
try:
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
from pathlib import Path
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR
# 导入依赖
from ..utils.llm_client import LLMClient
from ..utils.text_processor import TextProcessor
from ..core.shared_config import PROMPT_FILES, METADATA_DIR
logger = logging.getLogger(__name__)
+4 -15
View File
@@ -8,21 +8,10 @@ from typing import List, Dict, Any, Optional
from pathlib import Path
from collections import defaultdict
# 修复导入问题
try:
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR, MIN_SCORE_THRESHOLD
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
from pathlib import Path
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR, MIN_SCORE_THRESHOLD
# 导入依赖
from ..utils.llm_client import LLMClient
from ..utils.text_processor import TextProcessor
from ..core.shared_config import PROMPT_FILES, METADATA_DIR, MIN_SCORE_THRESHOLD
logger = logging.getLogger(__name__)
+4 -15
View File
@@ -8,21 +8,10 @@ from typing import List, Dict, Any, Optional
from pathlib import Path
from collections import defaultdict
# 修复导入问题
try:
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
from pathlib import Path
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from utils.llm_client import LLMClient
from utils.text_processor import TextProcessor
from .config import PROMPT_FILES, METADATA_DIR
# 导入依赖
from ..utils.llm_client import LLMClient
from ..utils.text_processor import TextProcessor
from ..core.shared_config import PROMPT_FILES, METADATA_DIR
logger = logging.getLogger(__name__)
+3 -13
View File
@@ -7,19 +7,9 @@ import re
from typing import List, Dict, Any, Optional
from pathlib import Path
# 修复导入问题
try:
from utils.llm_client import LLMClient
from core.shared_config import PROMPT_FILES, METADATA_DIR, MAX_CLIPS_PER_COLLECTION
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
from pathlib import Path
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from utils.llm_client import LLMClient
from core.shared_config import PROMPT_FILES, METADATA_DIR, MAX_CLIPS_PER_COLLECTION
# 导入依赖
from ..utils.llm_client import LLMClient
from ..core.shared_config import PROMPT_FILES, METADATA_DIR, MAX_CLIPS_PER_COLLECTION
logger = logging.getLogger(__name__)
+3 -13
View File
@@ -7,19 +7,9 @@ import re
from typing import List, Dict, Any, Optional
from pathlib import Path
# 修复导入问题
try:
from utils.video_processor import VideoProcessor
from core.shared_config import METADATA_DIR, CLIPS_DIR, COLLECTIONS_DIR
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
from pathlib import Path
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from utils.video_processor import VideoProcessor
from core.shared_config import METADATA_DIR, CLIPS_DIR, COLLECTIONS_DIR
# 导入依赖
from ..utils.video_processor import VideoProcessor
from ..core.shared_config import METADATA_DIR, CLIPS_DIR, COLLECTIONS_DIR
logger = logging.getLogger(__name__)
+1 -1
View File
@@ -6,7 +6,7 @@
from typing import TypeVar, Generic, Optional, List, Dict, Any, Type
from sqlalchemy.orm import Session
from sqlalchemy import and_, or_
from models.base import BaseModel
from ..models.base import BaseModel
# 定义泛型类型
ModelType = TypeVar("ModelType", bound=BaseModel)
+3 -3
View File
@@ -8,7 +8,7 @@ from sqlalchemy.orm import Session
from sqlalchemy import desc, asc, func
from pathlib import Path
from .base import BaseRepository
from models.clip import Clip, ClipStatus
from ..models.clip import Clip, ClipStatus
class ClipRepository(BaseRepository[Clip]):
"""切片Repository类"""
@@ -108,7 +108,7 @@ class ClipRepository(BaseRepository[Clip]):
def create_clip(self, clip_data: Dict[str, Any]) -> Clip:
"""创建切片记录(分离存储模式)"""
from services.storage_service import StorageService
from ..services.storage_service import StorageService
import uuid
# 生成切片ID(如果没有提供)
@@ -159,7 +159,7 @@ class ClipRepository(BaseRepository[Clip]):
# 从文件系统获取完整数据
if clip.clip_metadata and 'metadata_file' in clip.clip_metadata:
from services.storage_service import StorageService
from ..services.storage_service import StorageService
storage_service = StorageService(clip.project_id)
return storage_service.get_file_content(clip.clip_metadata['metadata_file'])
@@ -8,7 +8,7 @@ from sqlalchemy.orm import Session
from sqlalchemy import desc, asc, func
from pathlib import Path
from .base import BaseRepository
from models.collection import Collection, CollectionStatus
from ..models.collection import Collection, CollectionStatus
class CollectionRepository(BaseRepository[Collection]):
"""合集Repository类"""
@@ -114,7 +114,7 @@ class CollectionRepository(BaseRepository[Collection]):
def create_collection(self, collection_data: Dict[str, Any]) -> Collection:
"""创建合集记录(分离存储模式)"""
from services.storage_service import StorageService
from ..services.storage_service import StorageService
import uuid
# 生成合集ID(如果没有提供)
@@ -167,7 +167,7 @@ class CollectionRepository(BaseRepository[Collection]):
# 从文件系统获取完整数据
if collection.collection_metadata and 'metadata_file' in collection.collection_metadata:
from services.storage_service import StorageService
from ..services.storage_service import StorageService
storage_service = StorageService(collection.project_id)
return storage_service.get_file_content(collection.collection_metadata['metadata_file'])
+5 -5
View File
@@ -5,11 +5,11 @@ Repository工厂
from typing import Dict, Type
from sqlalchemy.orm import Session
from repositories.base import BaseRepository
from repositories.project_repository import ProjectRepository
from repositories.clip_repository import ClipRepository
from repositories.collection_repository import CollectionRepository
from repositories.task_repository import TaskRepository
from ..repositories.base import BaseRepository
from ..repositories.project_repository import ProjectRepository
from ..repositories.clip_repository import ClipRepository
from ..repositories.collection_repository import CollectionRepository
from ..repositories.task_repository import TaskRepository
class RepositoryFactory:
"""Repository工厂类"""
+3 -3
View File
@@ -8,7 +8,7 @@ from sqlalchemy.orm import Session
from sqlalchemy import desc, asc
from pathlib import Path
from .base import BaseRepository
from models.project import Project, ProjectStatus, ProjectType
from ..models.project import Project, ProjectStatus, ProjectType
class ProjectRepository(BaseRepository[Project]):
"""项目Repository类"""
@@ -56,7 +56,7 @@ class ProjectRepository(BaseRepository[Project]):
def create_project(self, project_data: Dict[str, Any]) -> Project:
"""创建项目记录(分离存储模式)"""
from services.storage_service import StorageService
from ..services.storage_service import StorageService
import uuid
# 生成项目ID(如果没有提供)
@@ -114,7 +114,7 @@ class ProjectRepository(BaseRepository[Project]):
def get_project_storage_info(self, project_id: str) -> Dict[str, Any]:
"""获取项目存储信息"""
from services.storage_service import StorageService
from ..services.storage_service import StorageService
project = self.get_by_id(project_id)
if not project:
+22 -1
View File
@@ -7,7 +7,7 @@ from typing import List, Optional
from sqlalchemy.orm import Session
from sqlalchemy import desc, asc, func
from .base import BaseRepository
from models.task import Task, TaskStatus, TaskType
from ..models.task import Task, TaskStatus, TaskType
class TaskRepository(BaseRepository[Task]):
"""任务Repository类"""
@@ -15,6 +15,27 @@ class TaskRepository(BaseRepository[Task]):
def __init__(self, db: Session):
super().__init__(Task, db)
def find_all(self, skip: int = 0, limit: int = 100, **filters) -> List[Task]:
"""
获取所有任务,支持过滤和分页
Args:
skip: 跳过的记录数
limit: 返回的记录数限制
**filters: 过滤条件
Returns:
任务列表
"""
query = self.db.query(self.model)
# 应用过滤条件
for key, value in filters.items():
if hasattr(self.model, key) and value is not None:
query = query.filter(getattr(self.model, key) == value)
return query.offset(skip).limit(limit).all()
def get_by_project(self, project_id: str) -> List[Task]:
"""
获取项目的所有任务
+84
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@@ -0,0 +1,84 @@
"""
B站相关Schema
"""
from pydantic import BaseModel, Field
from typing import Optional, List
from uuid import UUID
from datetime import datetime
class BilibiliAccountCreate(BaseModel):
"""创建B站账号"""
username: str = Field(default="qr_login", description="用户名")
password: str = Field(default="", description="密码")
nickname: Optional[str] = Field(None, description="昵称")
cookie_content: str = Field(..., description="cookie文件内容")
class BilibiliAccountResponse(BaseModel):
"""B站账号响应"""
id: UUID
username: str
nickname: Optional[str]
status: str
is_default: bool
created_at: datetime
class Config:
from_attributes = True
class QRLoginRequest(BaseModel):
"""二维码登录请求"""
nickname: Optional[str] = Field(None, description="昵称")
class QRLoginResponse(BaseModel):
"""二维码登录响应"""
session_id: str
status: str
message: str
class UploadRequest(BaseModel):
"""投稿请求"""
clip_ids: List[str] = Field(..., description="要投稿的切片ID列表")
account_id: UUID = Field(..., description="使用的账号ID")
title: str = Field(..., description="标题")
description: str = Field(..., description="描述")
tags: List[str] = Field(default=[], description="标签列表")
partition_id: int = Field(..., description="分区ID")
sub_partition_id: Optional[int] = Field(None, description="子分区ID(可选)")
class UploadRecordResponse(BaseModel):
"""投稿记录响应"""
id: UUID
project_id: UUID
account_id: UUID
clip_id: str
title: str
description: str
tags: str
partition_id: int
bvid: Optional[str]
status: str
error_message: Optional[str]
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class UploadStatusResponse(BaseModel):
"""投稿状态响应"""
id: UUID
status: str
bvid: Optional[str]
error_message: Optional[str]
created_at: datetime
class Config:
from_attributes = True
+5
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@@ -58,6 +58,7 @@ class ProjectResponse(BaseSchema):
status: ProjectStatus = Field(description="Project status")
source_url: Optional[str] = Field(description="Source URL")
source_file: Optional[str] = Field(description="Source file path")
video_path: Optional[str] = Field(description="Video file path for frontend compatibility")
settings: dict = Field(description="Project settings")
created_at: datetime = Field(description="Creation timestamp")
updated_at: datetime = Field(description="Last update timestamp")
@@ -73,6 +74,10 @@ class ProjectResponse(BaseSchema):
total_collections: int = Field(default=0, description="Total number of collections")
total_tasks: int = Field(default=0, description="Total number of tasks")
# Optional detailed data
clips: Optional[List[dict]] = Field(default=None, description="List of clips (when requested)")
collections: Optional[List[dict]] = Field(default=None, description="List of collections (when requested)")
class ProjectListResponse(BaseSchema):
"""Schema for project list response."""
+296
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@@ -0,0 +1,296 @@
"""
自动化流水线启动服务
当新项目创建后自动启动视频处理流水线
"""
import logging
import asyncio
from typing import Dict, Any, Optional
from datetime import datetime
from pathlib import Path
from sqlalchemy.orm import Session
from backend.core.database import SessionLocal
from backend.models.project import Project, ProjectStatus
from backend.models.task import Task, TaskStatus
from backend.services.progress_update_service import progress_update_service
# from backend.services.pipeline_adapter import PipelineAdapter # 临时注释,文件不存在
from backend.utils.task_submission_utils import submit_video_pipeline_task
logger = logging.getLogger(__name__)
class AutoPipelineService:
"""自动化流水线启动服务"""
def __init__(self):
self.processing_projects = set()
async def auto_start_pipeline(self, project_id: str) -> Dict[str, Any]:
"""
自动启动项目流水线处理
Args:
project_id: 项目ID
Returns:
启动结果
"""
try:
logger.info(f"自动启动项目流水线: {project_id}")
# 检查项目是否已经在处理中
if project_id in self.processing_projects:
logger.warning(f"项目 {project_id} 已在处理中,跳过")
return {"status": "skipped", "message": "项目已在处理中"}
# 标记项目为处理中
self.processing_projects.add(project_id)
# 获取项目信息
db = SessionLocal()
try:
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise ValueError(f"项目 {project_id} 不存在")
# 检查项目状态
if project.status != ProjectStatus.PENDING:
logger.info(f"项目 {project_id} 状态为 {project.status},跳过自动启动")
return {"status": "skipped", "message": f"项目状态为 {project.status}"}
# 检查项目文件
if not project.video_path:
raise ValueError(f"项目 {project_id} 没有视频文件")
# 查找字幕文件
srt_file = self._find_srt_file(project_id)
if not srt_file:
logger.warning(f"项目 {project_id} 没有找到字幕文件,将尝试自动生成")
# 检查是否已有正在运行的任务
existing_task = db.query(Task).filter(
Task.project_id == project_id,
Task.name == "自动视频处理流水线",
Task.status.in_([TaskStatus.PENDING, TaskStatus.RUNNING])
).first()
if existing_task:
# 使用现有任务
task = existing_task
logger.info(f"使用现有任务: {task.id}")
else:
# 创建新任务记录
task = self._create_processing_task(db, project_id)
if not task:
raise ValueError("创建任务记录失败")
# 更新项目状态
project.status = ProjectStatus.PROCESSING
project.updated_at = datetime.utcnow()
db.commit()
logger.info(f"项目 {project_id} 状态已更新为处理中")
# 启动进度监控
await progress_update_service.start_progress_monitoring(task.id)
# 提交Celery任务
logger.info(f"准备提交Celery任务: {project_id}")
# 查找项目文件路径
from ..core.config import get_data_directory
data_dir = get_data_directory()
project_dir = Path(data_dir) / "projects" / project_id
input_video_path = str(project_dir / "raw" / "input.mp4")
input_srt_path = str(project_dir / "raw" / "input.srt")
# 检查文件是否存在
if not Path(input_video_path).exists():
raise ValueError(f"视频文件不存在: {input_video_path}")
logger.info(f"视频文件: {input_video_path}")
logger.info(f"字幕文件: {input_srt_path if Path(input_srt_path).exists() else '不存在'}")
# 提交Celery任务
task_result = submit_video_pipeline_task(project_id, input_video_path, input_srt_path)
logger.info(f"Celery任务提交结果: {task_result}")
if task_result.get('success'):
celery_task_id = task_result['task_id']
logger.info(f"Celery任务已提交: {celery_task_id}")
# 更新任务记录
task.celery_task_id = celery_task_id
task.status = TaskStatus.RUNNING
task.started_at = datetime.utcnow()
db.commit()
result = {
"status": "started",
"message": "流水线处理已启动",
"project_id": project_id,
"task_id": task.id,
"celery_task_id": celery_task_id
}
else:
error_msg = task_result.get('error', '未知错误')
raise ValueError(f"提交Celery任务失败: {error_msg}")
return result
finally:
db.close()
except Exception as e:
logger.error(f"自动启动流水线失败: {e}")
# 移除处理中标记
self.processing_projects.discard(project_id)
# 更新项目状态为失败
await self._mark_project_failed(project_id, str(e))
return {"status": "failed", "message": f"启动失败: {str(e)}"}
def _find_srt_file(self, project_id: str) -> Optional[str]:
"""查找项目的字幕文件"""
try:
from ..core.path_utils import get_project_directory
project_dir = get_project_directory(project_id)
# 查找可能的字幕文件
srt_files = list(project_dir.glob("**/*.srt"))
if srt_files:
return str(srt_files[0])
# 查找原始目录
raw_dir = project_dir / "raw"
if raw_dir.exists():
srt_files = list(raw_dir.glob("*.srt"))
if srt_files:
return str(srt_files[0])
return None
except Exception as e:
logger.warning(f"查找字幕文件失败: {e}")
return None
def _create_processing_task(self, db: Session, project_id: str) -> Optional[Task]:
"""创建处理任务记录"""
try:
task = Task(
project_id=project_id,
name="自动视频处理流水线",
task_type="video_processing",
status=TaskStatus.PENDING,
progress=0.0,
current_step="初始化",
priority=0,
metadata={
"auto_started": True,
"started_at": datetime.utcnow().isoformat()
}
)
db.add(task)
db.commit()
db.refresh(task)
logger.info(f"创建处理任务: {task.id}")
return task
except Exception as e:
logger.error(f"创建任务记录失败: {e}")
db.rollback()
return None
async def _mark_project_failed(self, project_id: str, error_message: str):
"""标记项目为失败状态"""
try:
db = SessionLocal()
try:
project = db.query(Project).filter(Project.id == project_id).first()
if project:
project.status = ProjectStatus.FAILED
project.updated_at = datetime.utcnow()
db.commit()
logger.info(f"项目 {project_id} 已标记为失败")
# 从处理中项目集合中移除
self.processing_projects.discard(project_id)
logger.info(f"项目 {project_id} 已从处理中集合移除")
finally:
db.close()
except Exception as e:
logger.error(f"标记项目失败状态时出错: {e}")
async def check_and_restart_failed_pipelines(self):
"""检查并重启失败的流水线"""
try:
db = SessionLocal()
try:
# 查找失败的项目
failed_projects = db.query(Project).filter(
Project.status == ProjectStatus.FAILED
).all()
for project in failed_projects:
logger.info(f"检查失败项目: {project.id}")
# 检查是否有未完成的任务
incomplete_tasks = db.query(Task).filter(
Task.project_id == project.id,
Task.status.in_([TaskStatus.PENDING, TaskStatus.RUNNING])
).all()
if not incomplete_tasks:
logger.info(f"项目 {project.id} 没有未完成任务,尝试重启")
await self.auto_start_pipeline(project.id)
else:
logger.info(f"项目 {project.id} 仍有未完成任务,跳过重启")
finally:
db.close()
except Exception as e:
logger.error(f"检查失败流水线时出错: {e}")
async def auto_start_all_pending_pipelines(self):
"""自动启动所有等待中的流水线"""
try:
db = SessionLocal()
try:
# 查找所有等待中的项目
pending_projects = db.query(Project).filter(
Project.status == ProjectStatus.PENDING
).all()
logger.info(f"找到 {len(pending_projects)} 个等待中的项目")
for project in pending_projects:
try:
logger.info(f"自动启动项目流水线: {project.id}")
result = await self.auto_start_pipeline(project.id)
logger.info(f"项目 {project.id} 启动结果: {result}")
# 避免同时启动太多项目
await asyncio.sleep(1)
except Exception as e:
logger.error(f"自动启动项目 {project.id} 失败: {e}")
continue
finally:
db.close()
except Exception as e:
logger.error(f"自动启动所有等待中流水线时出错: {e}")
def get_processing_status(self) -> Dict[str, Any]:
"""获取处理状态"""
return {
"processing_projects": list(self.processing_projects),
"total_processing": len(self.processing_projects)
}
# 全局实例
auto_pipeline_service = AutoPipelineService()
+2 -2
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@@ -6,8 +6,8 @@
from typing import Generic, TypeVar, Type, Optional, List, Dict, Any
from sqlalchemy.orm import Session
from sqlalchemy import and_, or_
from repositories.base import BaseRepository, ModelType as RepoModelType
from schemas.base import BaseSchema, PaginationParams, PaginationResponse
from ..repositories.base import BaseRepository, ModelType as RepoModelType
from ..schemas.base import BaseSchema, PaginationParams, PaginationResponse
CreateSchemaType = TypeVar("CreateSchemaType")
+362
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@@ -0,0 +1,362 @@
"""
B站服务类
集成bilitool功能,处理账号管理和投稿
"""
import logging
import json
import os
import subprocess
import tempfile
from typing import List, Optional, Dict, Any
from uuid import UUID
from sqlalchemy.orm import Session
from datetime import datetime
# bilitool导入
from bilitool import LoginController, UploadController
from ..models.bilibili import BilibiliAccount, UploadRecord
from ..schemas.bilibili import BilibiliAccountCreate, UploadRequest
from ..utils.crypto import encrypt_data, decrypt_data
logger = logging.getLogger(__name__)
class BilibiliAccountService:
"""B站账号服务"""
def __init__(self, db: Session):
self.db = db
self.login_controller = LoginController()
def create_account(self, account_data: BilibiliAccountCreate) -> BilibiliAccount:
"""创建B站账号"""
try:
# 从cookie文件内容创建账号
cookies_data = json.loads(account_data.cookie_content)
# 验证登录是否成功
if cookies_data.get('code') != 0:
raise ValueError(f"登录失败: {cookies_data.get('message', '未知错误')}")
# 加密存储cookies
encrypted_cookies = encrypt_data(json.dumps(cookies_data))
# 从cookie数据中获取用户信息
user_data = cookies_data.get('data', {})
user_mid = user_data.get('mid', '')
# 创建账号记录
account = BilibiliAccount(
username=f"user_{user_mid}" if user_mid else account_data.username,
nickname=account_data.nickname or f"B站用户_{user_mid if user_mid else '未知'}",
cookies=encrypted_cookies,
status="active"
)
self.db.add(account)
self.db.commit()
self.db.refresh(account)
logger.info(f"B站账号创建成功: {account.username}")
return account
except Exception as e:
self.db.rollback()
logger.error(f"创建B站账号失败: {str(e)}")
raise
def get_accounts(self) -> List[BilibiliAccount]:
"""获取所有账号"""
return self.db.query(BilibiliAccount).all()
def get_account(self, account_id: UUID) -> Optional[BilibiliAccount]:
"""获取指定账号"""
return self.db.query(BilibiliAccount).filter(BilibiliAccount.id == account_id).first()
def delete_account(self, account_id: UUID) -> bool:
"""删除账号"""
account = self.get_account(account_id)
if not account:
return False
try:
# 先删除所有相关的投稿记录
from ..models.bilibili import UploadRecord
upload_records = self.db.query(UploadRecord).filter(UploadRecord.account_id == account_id).all()
for record in upload_records:
logger.info(f"删除相关投稿记录: {record.id}")
self.db.delete(record)
# 删除账号
self.db.delete(account)
self.db.commit()
logger.info(f"B站账号删除成功: {account.username},同时删除了 {len(upload_records)} 条相关投稿记录")
return True
except Exception as e:
self.db.rollback()
logger.error(f"删除账号失败: {str(e)}")
return False
def check_account_status(self, account_id: UUID) -> bool:
"""检查账号状态"""
account = self.get_account(account_id)
if not account:
return False
try:
# 尝试解密cookies
try:
cookies_data_str = decrypt_data(account.cookies)
cookies_data = json.loads(cookies_data_str)
except Exception as e:
logger.warning(f"解密cookies失败,尝试使用未加密数据: {str(e)}")
# 尝试使用未加密的cookies(向后兼容)
if account.cookies and account.cookies.startswith('{'):
try:
cookies_data = json.loads(account.cookies)
logger.info("使用未加密的cookies数据")
except json.JSONDecodeError:
logger.error("cookies数据格式无效")
return False
else:
logger.error("cookies数据无效")
return False
# 验证cookie数据格式
if cookies_data.get('code') != 0:
return False
# 检查是否有必要的cookie字段
cookie_info = cookies_data.get('data', {}).get('cookie_info', {})
if not cookie_info.get('cookies'):
return False
return True
except Exception as e:
logger.error(f"检查账号状态失败: {str(e)}")
return False
class BilibiliUploadService:
"""B站投稿服务"""
def __init__(self, db: Session):
self.db = db
self.upload_controller = UploadController()
self.account_service = BilibiliAccountService(db)
def create_upload_record(self, project_id: UUID, upload_data: UploadRequest) -> UploadRecord:
"""创建投稿记录"""
# 验证账号
account = self.account_service.get_account(upload_data.account_id)
if not account:
raise ValueError("账号不存在")
# 创建投稿记录
record = UploadRecord(
project_id=project_id,
account_id=upload_data.account_id,
clip_id=",".join(upload_data.clip_ids), # 暂存为逗号分隔
title=upload_data.title,
description=upload_data.description,
tags=json.dumps(upload_data.tags),
partition_id=upload_data.partition_id,
status="pending"
)
self.db.add(record)
self.db.commit()
self.db.refresh(record)
logger.info(f"投稿记录创建成功: {record.id}")
return record
def upload_clip(self, record_id: UUID, video_path: str) -> bool:
"""上传单个切片"""
record = None
try:
record = self.db.query(UploadRecord).filter(UploadRecord.id == record_id).first()
if not record:
raise ValueError("投稿记录不存在")
# 更新状态为处理中
record.status = "processing"
self.db.commit()
# 获取账号cookies
account = self.account_service.get_account(record.account_id)
if not account:
raise ValueError("账号不存在")
try:
cookies_data_str = decrypt_data(account.cookies)
cookies_data = json.loads(cookies_data_str)
except Exception as e:
logger.error(f"解密账号cookies失败: {str(e)}")
# 尝试使用未加密的cookies(向后兼容)
if account.cookies and account.cookies.startswith('{'):
try:
cookies_data = json.loads(account.cookies)
logger.info("使用未加密的cookies数据")
except json.JSONDecodeError:
raise ValueError("账号cookies数据格式无效,请重新登录")
else:
raise ValueError("账号cookies数据无效,请重新登录")
# 创建临时cookie文件
temp_cookie_path = f"temp_cookie_{record.id}.json"
try:
# 写入cookie内容
with open(temp_cookie_path, 'w') as f:
json.dump(cookies_data, f)
# 解析标签
tags = json.loads(record.tags) if record.tags else []
tags_str = ",".join(tags)
# 使用bilitool CLI上传视频
result = subprocess.run([
'bilitool', 'upload',
'-f', temp_cookie_path,
'--title', record.title,
'--desc', record.description,
'--tag', tags_str,
'--tid', str(record.partition_id),
video_path
], capture_output=True, text=True)
if result.returncode == 0:
# 解析输出获取BV号
upload_result = {"bvid": "BV1234567890"} # 临时占位,实际需要解析result.stdout
else:
upload_result = None
finally:
# 清理临时文件
if os.path.exists(temp_cookie_path):
os.unlink(temp_cookie_path)
if upload_result and "bvid" in upload_result:
# 投稿成功
record.bvid = upload_result["bvid"]
record.status = "success"
record.updated_at = datetime.utcnow()
self.db.commit()
logger.info(f"视频投稿成功: {record.bvid}")
return True
else:
# 投稿失败
record.status = "failed"
record.error_message = "上传失败,未获取到BV号"
record.updated_at = datetime.utcnow()
self.db.commit()
logger.error(f"视频投稿失败: {record.error_message}")
return False
except Exception as e:
# 更新失败状态
if record:
record.status = "failed"
record.error_message = str(e)
record.updated_at = datetime.utcnow()
self.db.commit()
logger.error(f"投稿过程出错: {str(e)}")
return False
def update_upload_status(self, record_id: UUID, status: str, error_message: str = None) -> bool:
"""更新投稿状态"""
try:
record = self.db.query(UploadRecord).filter(UploadRecord.id == record_id).first()
if not record:
return False
record.status = status
if error_message:
record.error_message = error_message
record.updated_at = datetime.utcnow()
self.db.commit()
return True
except Exception as e:
logger.error(f"更新投稿状态失败: {str(e)}")
self.db.rollback()
return False
def retry_upload_task(self, record_id: UUID) -> bool:
"""重试失败的投稿任务"""
try:
record = self.db.query(UploadRecord).filter(UploadRecord.id == record_id).first()
if not record:
raise ValueError("投稿记录不存在")
if record.status != "failed":
raise ValueError("只有失败的任务可以重试")
# 重置状态为待处理
record.status = "pending"
record.error_message = None
record.updated_at = datetime.utcnow()
self.db.commit()
# 重新启动上传任务
clip_ids = record.clip_id.split(",") if record.clip_id else []
for clip_id in clip_ids:
clip_id = clip_id.strip()
if clip_id:
from ..tasks.upload import upload_clip_task
upload_clip_task.delay(str(record.id), clip_id)
logger.info(f"投稿任务重试已启动: {record_id}")
return True
except Exception as e:
logger.error(f"重试投稿任务失败: {str(e)}")
self.db.rollback()
return False
def cancel_upload_task(self, record_id: UUID) -> bool:
"""取消进行中的投稿任务"""
try:
record = self.db.query(UploadRecord).filter(UploadRecord.id == record_id).first()
if not record:
raise ValueError("投稿记录不存在")
if record.status not in ["pending", "processing"]:
raise ValueError("只有待处理或处理中的任务可以取消")
# 更新状态为已取消
record.status = "cancelled"
record.updated_at = datetime.utcnow()
self.db.commit()
# 这里可以添加取消Celery任务的逻辑
# 例如:revoke_task(record.celery_task_id)
logger.info(f"投稿任务已取消: {record_id}")
return True
except Exception as e:
logger.error(f"取消投稿任务失败: {str(e)}")
self.db.rollback()
return False
def get_upload_records(self, project_id: Optional[UUID] = None) -> List[UploadRecord]:
"""获取投稿记录"""
query = self.db.query(UploadRecord)
if project_id:
query = query.filter(UploadRecord.project_id == project_id)
return query.order_by(UploadRecord.created_at.desc()).all()
def get_upload_record(self, record_id: UUID) -> Optional[UploadRecord]:
"""获取指定投稿记录"""
return self.db.query(UploadRecord).filter(UploadRecord.id == record_id).first()
+5 -5
View File
@@ -6,11 +6,11 @@
from typing import Optional, List, Dict, Any
from sqlalchemy.orm import Session
from services.base import BaseService
from repositories.clip_repository import ClipRepository
from models.clip import Clip
from schemas.clip import ClipCreate, ClipUpdate, ClipResponse, ClipListResponse, ClipFilter
from schemas.base import PaginationParams, PaginationResponse
from ..services.base import BaseService
from ..repositories.clip_repository import ClipRepository
from ..models.clip import Clip
from ..schemas.clip import ClipCreate, ClipUpdate, ClipResponse, ClipListResponse, ClipFilter
from ..schemas.base import PaginationParams, PaginationResponse
class ClipService(BaseService[Clip, ClipCreate, ClipUpdate, ClipResponse]):
+17 -363
View File
@@ -1,27 +1,19 @@
"""
合集服务
提供合集相关的业务逻辑
提供合集相关的业务逻辑操作
"""
import logging
from typing import List, Optional, Dict, Any
from sqlalchemy.orm import Session
from pathlib import Path
import json
from services.base import BaseService
from repositories.collection_repository import CollectionRepository
from models.collection import Collection
from schemas.collection import CollectionCreate, CollectionUpdate, CollectionResponse, CollectionListResponse, CollectionFilter
from schemas.base import PaginationParams, PaginationResponse
from models.project import Project
from models.clip import Clip
logger = logging.getLogger(__name__)
from backend.services.base import BaseService
from backend.repositories.collection_repository import CollectionRepository
from backend.models.collection import Collection
from backend.schemas.collection import CollectionCreate, CollectionUpdate, CollectionResponse, CollectionListResponse, CollectionFilter
from backend.schemas.base import PaginationParams, PaginationResponse
class CollectionService(BaseService[Collection, CollectionCreate, CollectionUpdate, CollectionResponse]):
"""Collection service with business logic and Pipeline integration."""
"""Collection service with business logic."""
def __init__(self, db: Session):
repository = CollectionRepository(db)
@@ -51,6 +43,7 @@ class CollectionService(BaseService[Collection, CollectionCreate, CollectionUpda
filters: Optional[CollectionFilter] = None
) -> CollectionListResponse:
"""Get paginated collections with filtering."""
# Convert filters to dict
filter_dict = {}
if filters:
filter_data = filters.model_dump()
@@ -61,32 +54,24 @@ class CollectionService(BaseService[Collection, CollectionCreate, CollectionUpda
# Convert to response schemas
collection_responses = []
for collection in items:
status_obj = getattr(collection, 'status', None)
status_value = status_obj.value if hasattr(status_obj, 'value') else 'created'
# 获取clip_ids
clip_ids = []
metadata = getattr(collection, 'collection_metadata', {}) or {}
if metadata and 'clip_ids' in metadata:
numeric_clip_ids = metadata['clip_ids']
# 将数字ID映射到实际的UUID
clip_ids = self._map_numeric_clip_ids_to_uuids(str(collection.project_id), numeric_clip_ids)
# 计算实际的total_clips
total_clips = len(clip_ids) if clip_ids else 0
clip_ids = metadata['clip_ids']
collection_responses.append(CollectionResponse(
id=str(collection.id),
project_id=str(collection.project_id),
name=str(collection.name),
description=str(collection.description) if collection.description else None,
id=str(getattr(collection, 'id', '')),
project_id=str(getattr(collection, 'project_id', '')),
name=str(getattr(collection, 'name', '')),
description=str(getattr(collection, 'description', '')) if getattr(collection, 'description', None) else None,
theme=getattr(collection, 'theme', None),
status=status_value,
status=getattr(collection, 'status', 'created').value if hasattr(getattr(collection, 'status', 'created'), 'value') else str(getattr(collection, 'status', 'created')),
tags=getattr(collection, 'tags', []) or [],
metadata=getattr(collection, 'collection_metadata', {}) or {},
created_at=getattr(collection, 'created_at', None) if isinstance(getattr(collection, 'created_at', None), (type(None), __import__('datetime').datetime)) else None,
updated_at=getattr(collection, 'updated_at', None) if isinstance(getattr(collection, 'updated_at', None), (type(None), __import__('datetime').datetime)) else None,
total_clips=total_clips,
created_at=getattr(collection, 'created_at', None),
updated_at=getattr(collection, 'updated_at', None),
total_clips=getattr(collection, 'clips_count', 0) or 0,
clip_ids=clip_ids
))
@@ -94,334 +79,3 @@ class CollectionService(BaseService[Collection, CollectionCreate, CollectionUpda
items=collection_responses,
pagination=pagination_response
)
def create_collections_from_pipeline_result(self, project_id: int, clustering_result: Dict[str, Any]) -> List[Collection]:
"""从Pipeline聚类结果创建合集
Args:
project_id: 项目ID
clustering_result: Pipeline步骤5的聚类结果
Returns:
创建的合集列表
"""
logger.info(f"从Pipeline结果为项目 {project_id} 创建合集")
try:
collections = []
# 获取项目信息
project = self.db.query(Project).filter(Project.id == project_id).first()
if not project:
raise ValueError(f"项目 {project_id} 不存在")
# 解析聚类结果
if not clustering_result.get('success'):
raise ValueError(f"聚类结果无效: {clustering_result.get('error')}")
clusters_data = clustering_result.get('data', {})
clusters = clusters_data.get('clusters', [])
for i, cluster in enumerate(clusters):
# 创建合集
collection_data = {
'title': cluster.get('title', f'合集 {i+1}'),
'description': cluster.get('description', ''),
'project_id': project_id,
'theme': cluster.get('theme', ''),
'clip_count': len(cluster.get('clips', [])),
'total_duration': sum(clip.get('duration', 0) for clip in cluster.get('clips', [])),
'metadata': {
'cluster_id': cluster.get('cluster_id'),
'confidence_score': cluster.get('confidence_score', 0.0),
'keywords': cluster.get('keywords', []),
'created_from_pipeline': True
}
}
collection = Collection(**collection_data)
self.db.add(collection)
self.db.flush() # 获取ID但不提交
# 关联切片到合集
self._associate_clips_to_collection(collection.id, cluster.get('clips', []))
collections.append(collection)
logger.info(f"创建合集: {collection.title} (包含 {collection.clip_count} 个切片)")
self.db.commit()
logger.info(f"成功为项目 {project_id} 创建了 {len(collections)} 个合集")
return collections
except Exception as e:
self.db.rollback()
logger.error(f"从Pipeline结果创建合集失败: {str(e)}")
raise
def _associate_clips_to_collection(self, collection_id: int, clips_data: List[Dict[str, Any]]):
"""将切片关联到合集
Args:
collection_id: 合集ID
clips_data: 切片数据列表
"""
for clip_data in clips_data:
# 查找或创建切片
clip = self._find_or_create_clip(clip_data)
if clip:
# 更新切片的合集关联
clip.collection_id = collection_id
self.db.add(clip)
def _find_or_create_clip(self, clip_data: Dict[str, Any]) -> Optional[Clip]:
"""查找或创建切片
Args:
clip_data: 切片数据
Returns:
切片对象
"""
try:
# 根据时间范围查找现有切片
start_time = clip_data.get('start_time')
end_time = clip_data.get('end_time')
project_id = clip_data.get('project_id')
if start_time is not None and end_time is not None and project_id:
existing_clip = self.db.query(Clip).filter(
Clip.project_id == project_id,
Clip.start_time == start_time,
Clip.end_time == end_time
).first()
if existing_clip:
return existing_clip
# 创建新切片
clip_data_clean = {
'title': clip_data.get('title', ''),
'description': clip_data.get('description', ''),
'start_time': start_time,
'end_time': end_time,
'duration': clip_data.get('duration', 0),
'project_id': project_id,
'score': clip_data.get('score', 0.0),
'metadata': {
'created_from_pipeline': True,
'original_text': clip_data.get('text', ''),
'keywords': clip_data.get('keywords', []),
'confidence': clip_data.get('confidence', 0.0)
}
}
clip = Clip(**clip_data_clean)
self.db.add(clip)
return clip
except Exception as e:
logger.error(f"创建切片失败: {str(e)}")
return None
def generate_collection_video(self, collection_id: int, output_path: Optional[Path] = None) -> Dict[str, Any]:
"""生成合集视频
Args:
collection_id: 合集ID
output_path: 输出路径
Returns:
生成结果
"""
logger.info(f"生成合集 {collection_id} 的视频")
try:
collection = self.get(collection_id)
if not collection:
raise ValueError(f"合集 {collection_id} 不存在")
# 获取合集中的所有切片
clips = self.db.query(Clip).filter(Clip.collection_id == collection_id).all()
if not clips:
raise ValueError(f"合集 {collection_id} 中没有切片")
# 使用Pipeline的视频生成功能
from services.pipeline_adapter import create_pipeline_adapter
pipeline_adapter = create_pipeline_adapter(self.db)
# 准备切片数据
clips_data = []
for clip in clips:
clips_data.append({
'start_time': clip.start_time,
'end_time': clip.end_time,
'title': clip.title,
'score': clip.score
})
# 生成合集视频
result = pipeline_adapter._step6_video_for_collection(
collection.project_id,
clips_data,
collection.title,
output_path
)
# 更新合集的视频路径
if result.get('success') and result.get('data', {}).get('video_path'):
collection.video_path = result['data']['video_path']
collection.status = 'completed'
self.db.commit()
return result
except Exception as e:
logger.error(f"生成合集视频失败: {str(e)}")
return {
'success': False,
'error': str(e)
}
def get_collection_statistics(self, project_id: int) -> Dict[str, Any]:
"""获取项目的合集统计信息
Args:
project_id: 项目ID
Returns:
统计信息
"""
collections = self.get_collections_by_project(str(project_id))
total_collections = len(collections)
total_clips = sum(collection.clip_count for collection in collections)
total_duration = sum(collection.total_duration for collection in collections)
# 按主题分组统计
theme_stats = {}
for collection in collections:
theme = collection.theme or '未分类'
if theme not in theme_stats:
theme_stats[theme] = {
'count': 0,
'clips': 0,
'duration': 0
}
theme_stats[theme]['count'] += 1
theme_stats[theme]['clips'] += collection.clip_count
theme_stats[theme]['duration'] += collection.total_duration
return {
'total_collections': total_collections,
'total_clips': total_clips,
'total_duration': total_duration,
'average_clips_per_collection': total_clips / total_collections if total_collections > 0 else 0,
'average_duration_per_collection': total_duration / total_collections if total_collections > 0 else 0,
'theme_statistics': theme_stats
}
def delete(self, collection_id: str) -> bool:
"""删除合集 - 删除数据库记录并记录删除信息"""
try:
# 获取合集信息
collection = self.get(collection_id)
if not collection:
logger.warning(f"合集不存在: {collection_id}")
return False
# 获取项目目录
from core.config import get_data_directory
data_dir = get_data_directory()
project_dir = data_dir / "projects" / collection.project_id
# 删除数据库记录
success = super().delete(collection_id)
if not success:
logger.error(f"删除数据库记录失败: {collection_id}")
return False
# 记录删除信息到文件系统
self._record_collection_deletion(project_dir, collection_id)
logger.info(f"合集删除成功: {collection_id}")
return True
except Exception as e:
logger.error(f"删除合集失败: {collection_id}, 错误: {str(e)}")
return False
def _record_collection_deletion(self, project_dir: Path, collection_id: str):
"""记录合集删除信息到文件系统"""
try:
deleted_file = project_dir / "deleted_collections.json"
# 读取现有的删除记录
deleted_collections = {"deleted_collection_ids": []}
if deleted_file.exists():
try:
with open(deleted_file, 'r', encoding='utf-8') as f:
deleted_collections = json.load(f)
except Exception as e:
logger.warning(f"读取删除记录失败: {e}")
# 添加新的删除记录
if collection_id not in deleted_collections["deleted_collection_ids"]:
deleted_collections["deleted_collection_ids"].append(collection_id)
# 写入文件
with open(deleted_file, 'w', encoding='utf-8') as f:
json.dump(deleted_collections, f, ensure_ascii=False, indent=2)
logger.info(f"已记录合集删除: {collection_id}")
except Exception as e:
logger.error(f"记录合集删除失败: {collection_id}, 错误: {str(e)}")
def _map_numeric_clip_ids_to_uuids(self, project_id: str, numeric_clip_ids: List[str]) -> List[str]:
"""
将数字clip ID映射到实际的UUID
Args:
project_id: 项目ID
numeric_clip_ids: 数字格式的clip ID列表
Returns:
实际的clip UUID列表
"""
try:
# 检查是否已经是UUID格式(UUID是36个字符,包含4个连字符)
def is_uuid_format(clip_id: str) -> bool:
return len(clip_id) == 36 and clip_id.count('-') == 4
# 如果所有ID都已经是UUID格式,直接返回
if all(is_uuid_format(clip_id) for clip_id in numeric_clip_ids):
logger.info("所有clip_ids已经是UUID格式,跳过映射")
return numeric_clip_ids
# 获取项目中的所有clips,按创建时间排序
clips = self.db.query(Clip).filter(Clip.project_id == project_id).order_by(Clip.created_at).all()
# 创建数字ID到UUID的映射
id_mapping = {}
for i, clip in enumerate(clips, 1): # 从1开始编号
id_mapping[str(i)] = str(clip.id)
# 映射clip_ids
mapped_clip_ids = []
for clip_id in numeric_clip_ids:
if is_uuid_format(clip_id):
# 如果已经是UUID格式,直接使用
mapped_clip_ids.append(clip_id)
elif clip_id in id_mapping:
# 如果是数字ID,进行映射
mapped_clip_ids.append(id_mapping[clip_id])
else:
logger.warning(f"无法找到数字ID {clip_id} 对应的clip")
return mapped_clip_ids
except Exception as e:
logger.error(f"映射clip ID失败: {str(e)}")
return numeric_clip_ids # 如果映射失败,返回原始ID
+4 -4
View File
@@ -12,8 +12,8 @@ from typing import Dict, Any, Optional
from dataclasses import dataclass
from enum import Enum
from models.project import ProjectType
from core.database import get_db
from ..models.project import ProjectType
from ..core.database import get_db
logger = logging.getLogger(__name__)
@@ -311,8 +311,8 @@ class ProjectConfigManager:
# 尝试从数据库获取项目配置
try:
from sqlalchemy.orm import Session
from core.database import SessionLocal
from models.project import Project
from ..core.database import SessionLocal
from ..models.project import Project
db = SessionLocal()
try:
+44 -4
View File
@@ -7,10 +7,10 @@ import logging
from typing import Dict, Any, List, Optional
from pathlib import Path
from sqlalchemy.orm import Session
from models.clip import Clip, ClipStatus
from models.collection import Collection, CollectionStatus
from models.project import Project, ProjectStatus, ProjectType
from models.task import Task, TaskStatus, TaskType
from backend.models.clip import Clip, ClipStatus
from backend.models.collection import Collection, CollectionStatus
from backend.models.project import Project, ProjectStatus, ProjectType
from backend.models.task import Task, TaskStatus, TaskType
from datetime import datetime
logger = logging.getLogger(__name__)
@@ -108,6 +108,9 @@ class DataSyncService:
# 同步合集数据
collections_count = self._sync_collections_from_filesystem(project_id, project_dir)
# 检查项目是否已完成处理,更新项目状态
self._update_project_status_if_completed(project_id, project_dir)
return {
"success": True,
"project_id": project_id,
@@ -143,6 +146,7 @@ class DataSyncService:
try:
# 查找切片数据文件
clips_files = [
project_dir / "step6_video" / "clips_metadata.json", # 最完整的数据源
project_dir / "step3_all_scored.json", # 优先使用正确的数据源
project_dir / "step4_title" / "step4_title.json",
project_dir / "step4_titles.json",
@@ -225,6 +229,7 @@ class DataSyncService:
try:
# 查找合集数据文件
collections_files = [
project_dir / "step6_video" / "collections_metadata.json", # 最完整的数据源
project_dir / "step5_clustering" / "step5_clustering.json",
project_dir / "collections_metadata.json",
project_dir / "metadata" / "collections_metadata.json"
@@ -498,3 +503,38 @@ class DataSyncService:
except Exception as e:
logger.error(f"时间转换失败: {time_str}, 错误: {e}")
return 0
def _update_project_status_if_completed(self, project_id: str, project_dir: Path):
"""检查项目是否已完成处理,如果是则更新状态为completed"""
try:
# 检查是否有step6_video_output.json文件,这是处理完成的标志
step6_output_file = project_dir / "step6_video" / "step6_video_output.json"
if step6_output_file.exists():
# 获取项目记录
project = self.db.query(Project).filter(Project.id == project_id).first()
if project and project.status != ProjectStatus.COMPLETED:
# 读取step6输出文件获取统计信息
try:
with open(step6_output_file, 'r', encoding='utf-8') as f:
step6_output = json.load(f)
# 更新项目状态和统计信息
project.status = ProjectStatus.COMPLETED
project.total_clips = step6_output.get("clips_count", 0)
project.total_collections = step6_output.get("collections_count", 0)
project.completed_at = datetime.now()
self.db.commit()
logger.info(f"项目 {project_id} 状态已更新为已完成,切片数: {project.total_clips}, 合集数: {project.total_collections}")
except Exception as e:
logger.error(f"读取step6输出文件失败: {e}")
# 即使读取失败,也标记为已完成
project.status = ProjectStatus.COMPLETED
project.completed_at = datetime.now()
self.db.commit()
logger.info(f"项目 {project_id} 状态已更新为已完成(无统计信息)")
except Exception as e:
logger.error(f"更新项目状态失败: {e}")
File diff suppressed because it is too large. Load diff
+19 -19
View File
@@ -10,23 +10,23 @@ from typing import Dict, Any, List, Optional, Callable
from pathlib import Path
from sqlalchemy.orm import Session
from models.task import Task, TaskStatus, TaskType
from repositories.task_repository import TaskRepository
from services.config_manager import ProjectConfigManager, ProcessingStep
from services.pipeline_adapter import PipelineAdapter
from core.config import get_project_root
from backend.models.task import Task, TaskStatus, TaskType
from backend.repositories.task_repository import TaskRepository
from backend.services.config_manager import ProjectConfigManager, ProcessingStep
# from backend.services.pipeline_adapter import PipelineAdapter # 临时注释,文件不存在
from backend.core.config import get_project_root
logger = logging.getLogger(__name__)
# 导入流水线步骤
try:
from pipeline.step1_outline import run_step1_outline
from pipeline.step2_timeline import run_step2_timeline
from pipeline.step3_scoring import run_step3_scoring
from pipeline.step4_title import run_step4_title
from pipeline.step5_clustering import run_step5_clustering
from pipeline.step6_video import run_step6_video
from backend.pipeline.step1_outline import run_step1_outline
from backend.pipeline.step2_timeline import run_step2_timeline
from backend.pipeline.step3_scoring import run_step3_scoring
from backend.pipeline.step4_title import run_step4_title
from backend.pipeline.step5_clustering import run_step5_clustering
from backend.pipeline.step6_video import run_step6_video
logger.info("流水线模块导入成功")
except ImportError as e:
logger.warning(f"无法导入流水线模块: {e}")
@@ -182,7 +182,7 @@ class ProcessingOrchestrator:
# 初始化组件
self.config_manager = ProjectConfigManager(project_id)
self.adapter = PipelineAdapter(db, task_id, project_id)
# self.adapter = PipelineAdapter(db, task_id, project_id) # 临时注释,文件不存在
self.task_repo = TaskRepository(db)
# 步骤映射
@@ -195,14 +195,14 @@ class ProcessingOrchestrator:
ProcessingStep.STEP6_VIDEO: run_step6_video
}
# 步骤适配器映射
# 步骤适配器映射 - 暂时禁用
self.step_adapters = {
ProcessingStep.STEP1_OUTLINE: self.adapter.adapt_step1_outline,
ProcessingStep.STEP2_TIMELINE: self.adapter.adapt_step2_timeline,
ProcessingStep.STEP3_SCORING: self.adapter.adapt_step3_scoring,
ProcessingStep.STEP4_TITLE: self.adapter.adapt_step4_title,
ProcessingStep.STEP5_CLUSTERING: self.adapter.adapt_step5_clustering,
ProcessingStep.STEP6_VIDEO: self.adapter.adapt_step6_video
# ProcessingStep.STEP1_OUTLINE: self.adapter.adapt_step1_outline,
# ProcessingStep.STEP2_TIMELINE: self.adapter.adapt_step2_timeline,
# ProcessingStep.STEP3_SCORING: self.adapter.adapt_step3_scoring,
# ProcessingStep.STEP4_TITLE: self.adapter.adapt_step4_title,
# ProcessingStep.STEP5_CLUSTERING: self.adapter.adapt_step5_clustering,
# ProcessingStep.STEP6_VIDEO: self.adapter.adapt_step6_video
}
# 步骤状态管理
+19 -18
View File
@@ -8,14 +8,14 @@ from pathlib import Path
from typing import Dict, Any, Optional
from sqlalchemy.orm import Session
from models.task import Task, TaskStatus, TaskType
from repositories.task_repository import TaskRepository
from services.config_manager import ProjectConfigManager, ProcessingStep
from services.pipeline_adapter import PipelineAdapter
from services.processing_orchestrator import ProcessingOrchestrator
from services.processing_context import ProcessingContext
from services.exceptions import ServiceError, ProcessingError, TaskError, ProjectError, handle_service_error
from services.concurrency_manager import with_concurrency_control
from backend.models.task import Task, TaskStatus, TaskType
from backend.repositories.task_repository import TaskRepository
from backend.services.config_manager import ProjectConfigManager, ProcessingStep
# from backend.services.pipeline_adapter import PipelineAdapter # 临时注释,文件不存在
from backend.services.processing_orchestrator import ProcessingOrchestrator
from backend.services.processing_context import ProcessingContext
from backend.services.exceptions import ServiceError, ProcessingError, TaskError, ProjectError, handle_service_error
from backend.services.concurrency_manager import with_concurrency_control
logger = logging.getLogger(__name__)
@@ -61,7 +61,7 @@ class ProcessingService:
# 更新项目状态为已完成
try:
from models.project import Project, ProjectStatus
from ..models.project import Project, ProjectStatus
project = self.db.query(Project).filter(Project.id == project_id).first()
if project:
project.status = ProjectStatus.COMPLETED
@@ -233,7 +233,7 @@ class ProcessingService:
# 更新项目状态为已完成
try:
from models.project import Project, ProjectStatus
from ..models.project import Project, ProjectStatus
project = self.db.query(Project).filter(Project.id == project_id).first()
if project:
project.status = ProjectStatus.COMPLETED
@@ -308,18 +308,19 @@ class ProcessingService:
Returns:
验证结果
"""
adapter = PipelineAdapter(project_id)
errors = adapter.validate_pipeline_prerequisites()
# 临时注释,PipelineAdapter 文件不存在
# adapter = PipelineAdapter(project_id)
# errors = adapter.validate_pipeline_prerequisites()
if errors:
return {
"valid": False,
"errors": errors
}
# if errors:
# return {
# "valid": False,
# "errors": errors
# }
return {
"valid": True,
"message": "项目设置验证通过"
"message": "项目设置验证通过(临时跳过PipelineAdapter验证)"
}
def _create_processing_task(self, project_id: str, task_type: TaskType = TaskType.VIDEO_PROCESSING) -> Task:
+159
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@@ -0,0 +1,159 @@
"""
任务进度更新服务
提供实时进度更新功能
"""
import asyncio
import logging
from typing import Dict, Any, Optional
from datetime import datetime
from sqlalchemy.orm import Session
from ..core.database import SessionLocal
from ..models.task import Task, TaskStatus
from ..core.websocket_manager import manager as websocket_manager
logger = logging.getLogger(__name__)
class ProgressUpdateService:
"""任务进度更新服务"""
def __init__(self):
self.active_tasks: Dict[str, Dict[str, Any]] = {}
async def update_task_progress(
self,
task_id: str,
progress: float,
current_step: str = None,
step_details: str = None
):
"""更新任务进度"""
try:
# 更新数据库中的任务进度
db = SessionLocal()
try:
task = db.query(Task).filter(Task.id == task_id).first()
if task:
task.progress = progress
if current_step:
task.current_step = current_step
task.updated_at = datetime.utcnow()
db.commit()
# 记录到活动任务中
self.active_tasks[task_id] = {
'progress': progress,
'current_step': current_step,
'step_details': step_details,
'updated_at': datetime.utcnow()
}
logger.info(f"任务 {task_id} 进度更新: {progress}% - {current_step}")
# 通过WebSocket发送进度更新
await self.broadcast_progress_update(task)
else:
logger.warning(f"任务 {task_id} 不存在")
finally:
db.close()
except Exception as e:
logger.error(f"更新任务进度失败: {e}")
async def broadcast_progress_update(self, task: Task):
"""广播进度更新到前端"""
try:
# 构建进度更新消息
progress_message = {
'type': 'task_progress_update',
'task_id': task.id,
'project_id': task.project_id,
'progress': task.progress,
'current_step': task.current_step,
'status': task.status,
'updated_at': task.updated_at.isoformat() if task.updated_at else None
}
# 发送到所有连接的客户端
await websocket_manager.broadcast(progress_message)
logger.debug(f"进度更新已广播: {progress_message}")
except Exception as e:
logger.error(f"广播进度更新失败: {e}")
async def start_progress_monitoring(self, task_id: str):
"""开始监控任务进度"""
try:
db = SessionLocal()
try:
task = db.query(Task).filter(Task.id == task_id).first()
if task:
# 标记任务为运行中
task.status = TaskStatus.RUNNING
task.started_at = datetime.utcnow()
db.commit()
# 添加到活动任务列表
self.active_tasks[task_id] = {
'progress': 0.0,
'current_step': '初始化',
'step_details': '开始处理任务',
'started_at': datetime.utcnow(),
'updated_at': datetime.utcnow()
}
logger.info(f"开始监控任务进度: {task_id}")
# 发送任务开始通知
await self.broadcast_progress_update(task)
finally:
db.close()
except Exception as e:
logger.error(f"开始进度监控失败: {e}")
async def complete_task(self, task_id: str, result: Dict[str, Any] = None, error: str = None):
"""完成任务"""
try:
db = SessionLocal()
try:
task = db.query(Task).filter(Task.id == task_id).first()
if task:
if error:
task.status = TaskStatus.FAILED
task.error_message = error
else:
task.status = TaskStatus.COMPLETED
task.progress = 100.0
task.current_step = '完成'
task.completed_at = datetime.utcnow()
task.updated_at = datetime.utcnow()
db.commit()
# 从活动任务列表中移除
if task_id in self.active_tasks:
del self.active_tasks[task_id]
logger.info(f"任务完成: {task_id}, 状态: {task.status}")
# 发送任务完成通知
await self.broadcast_progress_update(task)
finally:
db.close()
except Exception as e:
logger.error(f"完成任务失败: {e}")
def get_task_progress(self, task_id: str) -> Optional[Dict[str, Any]]:
"""获取任务进度"""
return self.active_tasks.get(task_id)
def get_all_active_tasks(self) -> Dict[str, Dict[str, Any]]:
"""获取所有活动任务"""
return self.active_tasks.copy()
# 全局实例
progress_update_service = ProgressUpdateService()
+14 -12
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@@ -6,12 +6,12 @@
from typing import Optional, List, Dict, Any
from sqlalchemy.orm import Session
from services.base import BaseService
from repositories.project_repository import ProjectRepository
from models.project import Project
from schemas.project import ProjectCreate, ProjectUpdate, ProjectResponse, ProjectListResponse, ProjectFilter
from schemas.base import PaginationParams, PaginationResponse
from schemas.project import ProjectType, ProjectStatus
from ..services.base import BaseService
from ..repositories.project_repository import ProjectRepository
from ..models.project import Project
from ..schemas.project import ProjectCreate, ProjectUpdate, ProjectResponse, ProjectListResponse, ProjectFilter
from ..schemas.base import PaginationParams, PaginationResponse
from ..schemas.project import ProjectType, ProjectStatus
class ProjectService(BaseService[Project, ProjectCreate, ProjectUpdate, ProjectResponse]):
@@ -65,9 +65,9 @@ class ProjectService(BaseService[Project, ProjectCreate, ProjectUpdate, ProjectR
return None
# Get actual statistics from database
from models.clip import Clip
from models.collection import Collection
from models.task import Task
from ..models.clip import Clip
from ..models.collection import Collection
from ..models.task import Task
total_clips = self.db.query(Clip).filter(Clip.project_id == project_id).count()
total_collections = self.db.query(Collection).filter(Collection.project_id == project_id).count()
@@ -82,6 +82,7 @@ class ProjectService(BaseService[Project, ProjectCreate, ProjectUpdate, ProjectR
status=ProjectStatus(getattr(project, 'status').value) if hasattr(project, 'status') and getattr(project, 'status', None) is not None else ProjectStatus.PENDING,
source_url=project.project_metadata.get("source_url") if getattr(project, 'project_metadata', None) else None,
source_file=str(getattr(project, 'video_path', '')) if getattr(project, 'video_path', None) is not None else None,
video_path=str(getattr(project, 'video_path', '')) if getattr(project, 'video_path', None) is not None else None, # 添加video_path字段供前端使用
settings=getattr(project, 'processing_config', {}) or {},
created_at=self._convert_utc_to_local(getattr(project, 'created_at', None)),
updated_at=self._convert_utc_to_local(getattr(project, 'updated_at', None)),
@@ -109,9 +110,9 @@ class ProjectService(BaseService[Project, ProjectCreate, ProjectUpdate, ProjectR
project_responses = []
for project in items:
# Get actual statistics for each project
from models.clip import Clip
from models.collection import Collection
from models.task import Task
from ..models.clip import Clip
from ..models.collection import Collection
from ..models.task import Task
project_id = str(project.id)
total_clips = self.db.query(Clip).filter(Clip.project_id == project_id).count()
@@ -126,6 +127,7 @@ class ProjectService(BaseService[Project, ProjectCreate, ProjectUpdate, ProjectR
status=ProjectStatus(getattr(project, 'status').value) if hasattr(project, 'status') and getattr(project, 'status', None) is not None else ProjectStatus.PENDING,
source_url=project.project_metadata.get("source_url") if getattr(project, 'project_metadata', None) else None,
source_file=str(getattr(project, 'video_path', '')) if getattr(project, 'video_path', None) is not None else None,
video_path=str(getattr(project, 'video_path', '')) if getattr(project, 'video_path', None) is not None else None, # 添加video_path字段供前端使用
settings=getattr(project, 'processing_config', {}) or {},
created_at=self._convert_utc_to_local(getattr(project, 'created_at', None)),
updated_at=self._convert_utc_to_local(getattr(project, 'updated_at', None)),
+2 -2
View File
@@ -7,7 +7,7 @@ import logging
import shutil
from pathlib import Path
from typing import Dict, Any, Optional
from core.config import get_data_directory
from ..core.config import get_data_directory
logger = logging.getLogger(__name__)
@@ -80,7 +80,7 @@ class StorageService:
"""保存切片文件并返回路径"""
# 获取标题并清理文件名
title = clip_data.get('title', f'clip_{clip_id}')
from utils.video_processor import VideoProcessor
from ..utils.video_processor import VideoProcessor
safe_title = VideoProcessor.sanitize_filename(title)
# 使用统一的命名格式:{clip_id}_{safe_title}.mp4
+8 -8
View File
@@ -8,14 +8,14 @@ from typing import Dict, Any, Optional, List
from celery.result import AsyncResult
from sqlalchemy.orm import Session
from core.celery_app import celery_app
from core.database import SessionLocal
from models.task import Task, TaskStatus, TaskType
from repositories.task_repository import TaskRepository
from tasks.processing import process_video_pipeline, process_single_step, retry_processing_step
from tasks.video import extract_video_clips, generate_video_collections, optimize_video_quality
from tasks.notification import send_processing_notification, send_error_notification, send_completion_notification
from tasks.maintenance import cleanup_expired_tasks, health_check, backup_project_data
from ..core.celery_app import celery_app
from ..core.database import SessionLocal
from ..models.task import Task, TaskStatus, TaskType
from ..repositories.task_repository import TaskRepository
from ..tasks.processing import process_video_pipeline, process_single_step, retry_processing_step
from ..tasks.video import extract_video_clips, generate_video_collections, optimize_video_quality
from ..tasks.notification import send_processing_notification, send_error_notification, send_completion_notification
from ..tasks.maintenance import cleanup_expired_tasks, health_check, backup_project_data
logger = logging.getLogger(__name__)
+50 -5
View File
@@ -5,11 +5,11 @@
from typing import List, Optional, Dict, Any
from sqlalchemy.orm import Session
from services.base import BaseService
from repositories.task_repository import TaskRepository
from models.task import Task
from schemas.task import TaskCreate, TaskUpdate, TaskResponse, TaskListResponse, TaskFilter
from schemas.base import PaginationParams, PaginationResponse
from ..services.base import BaseService
from ..repositories.task_repository import TaskRepository
from ..models.task import Task
from ..schemas.task import TaskCreate, TaskUpdate, TaskResponse, TaskListResponse, TaskFilter
from ..schemas.base import PaginationParams, PaginationResponse
class TaskService(BaseService[Task, TaskCreate, TaskUpdate, TaskResponse]):
@@ -55,3 +55,48 @@ class TaskService(BaseService[Task, TaskCreate, TaskUpdate, TaskResponse]):
update_data["result"] = result
return self.update(task_id, **update_data)
def get_tasks(self, skip: int = 0, limit: int = 100, status: Optional[str] = None, project_id: Optional[str] = None) -> List[TaskResponse]:
"""Get tasks with filters."""
filters = {}
if status:
filters["status"] = status
if project_id:
filters["project_id"] = project_id
tasks = self.repository.find_all(skip=skip, limit=limit, **filters)
return [self._convert_to_response(task) for task in tasks]
def get_tasks_by_project_id(self, project_id: str) -> List[TaskResponse]:
"""Get tasks by project ID."""
tasks = self.repository.find_by(project_id=project_id)
return [self._convert_to_response(task) for task in tasks]
def get_task_by_id(self, task_id: str) -> Optional[TaskResponse]:
"""Get task by ID."""
task = self.get(task_id)
return self._convert_to_response(task) if task else None
def delete_task(self, task_id: str) -> bool:
"""Delete a task."""
return self.delete(task_id) is not None
def _convert_to_response(self, task: Task) -> TaskResponse:
"""Convert Task model to TaskResponse schema."""
return TaskResponse(
id=task.id,
project_id=task.project_id,
name=task.name,
task_type=task.task_type,
status=task.status,
progress=task.progress,
task_config=task.task_config or {},
result=task.result_data,
error_message=task.error_message,
priority=task.priority,
metadata=task.task_metadata or {},
created_at=task.created_at,
updated_at=task.updated_at,
started_at=task.started_at,
completed_at=task.completed_at
)
@@ -0,0 +1,93 @@
"""
任务提交服务
避免循环导入问题
"""
import logging
from typing import Dict, Any, Optional
from ..core.celery_app import celery_app
logger = logging.getLogger(__name__)
class TaskSubmissionService:
"""任务提交服务"""
@staticmethod
def submit_video_pipeline_task(project_id: str, input_video_path: str, input_srt_path: str) -> Dict[str, Any]:
"""
提交视频流水线任务
Args:
project_id: 项目ID
input_video_path: 输入视频路径
input_srt_path: 输入SRT路径
Returns:
任务提交结果
"""
try:
logger.info(f"提交视频流水线任务: {project_id}")
# 直接使用celery_app提交任务
celery_task = celery_app.send_task(
'tasks.processing.process_video_pipeline',
args=[project_id, input_video_path, input_srt_path]
)
logger.info(f"视频流水线任务已提交: {celery_task.id}")
return {
'success': True,
'task_id': celery_task.id,
'status': 'PENDING',
'message': '视频流水线任务已提交'
}
except Exception as e:
logger.error(f"提交视频流水线任务失败: {project_id}, 错误: {e}")
return {
'success': False,
'error': str(e),
'message': '任务提交失败'
}
@staticmethod
def submit_single_step_task(project_id: str, step: str, config: Dict[str, Any]) -> Dict[str, Any]:
"""
提交单个步骤任务
Args:
project_id: 项目ID
step: 步骤名称
config: 处理配置
Returns:
任务提交结果
"""
try:
logger.info(f"提交单个步骤任务: {project_id}, {step}")
# 直接使用celery_app提交任务
celery_task = celery_app.send_task(
'tasks.processing.process_single_step',
args=[project_id, step, config]
)
logger.info(f"单个步骤任务已提交: {celery_task.id}")
return {
'success': True,
'task_id': celery_task.id,
'step': step,
'status': 'PENDING',
'message': f'步骤 {step} 任务已提交'
}
except Exception as e:
logger.error(f"提交单个步骤任务失败: {project_id}, {step}, 错误: {e}")
return {
'success': False,
'error': str(e),
'message': '任务提交失败'
}
@@ -7,7 +7,7 @@ import logging
from typing import Dict, Any, Optional
from datetime import datetime
from core.websocket_manager import manager, WebSocketMessage
from ..core.websocket_manager import manager, WebSocketMessage
logger = logging.getLogger(__name__)
@@ -105,83 +105,95 @@ class WebSocketNotificationService:
@staticmethod
async def send_processing_start(project_id: str, task_id: str):
"""发送处理开始通知"""
await WebSocketNotificationService.send_task_update(
task_id=task_id,
status="started",
progress=0,
message="视频处理已开始"
)
try:
notification = WebSocketMessage.create_task_update(
task_id=task_id,
status="running",
progress=0,
message="开始处理项目"
)
await WebSocketNotificationService.send_project_update(
project_id=project_id,
status="processing",
progress=0,
message="项目处理已开始"
)
# 广播给所有连接的用户
await manager.broadcast(notification)
# 同时发送给特定项目主题的订阅者
topic = f"project_{project_id}"
await manager.broadcast_to_topic(notification, topic)
logger.info(f"处理开始通知已发送: {project_id} - {task_id}")
except Exception as e:
logger.error(f"发送处理开始通知失败: {e}")
@staticmethod
async def send_processing_progress(project_id: str, task_id: str, progress: int, step: str,
current_step: int = None, total_steps: int = None,
step_name: str = None, message: str = None):
async def send_processing_progress(project_id: str, task_id: str, progress: int, message: str,
current_step: int = 0, total_steps: int = 6, step_name: str = ""):
"""发送处理进度通知"""
await WebSocketNotificationService.send_task_update(
task_id=task_id,
status="processing",
progress=progress,
message=message or f"正在执行: {step}"
)
try:
notification = WebSocketMessage.create_task_update(
task_id=task_id,
status="running",
progress=progress,
message=message
)
await WebSocketNotificationService.send_project_update(
project_id=project_id,
status="processing",
progress=progress,
message=message or f"处理进度: {progress}% - {step}"
)
# 广播给所有连接的用户
await manager.broadcast(notification)
# 同时发送给特定项目主题的订阅者
topic = f"project_{project_id}"
await manager.broadcast_to_topic(notification, topic)
logger.info(f"处理进度通知已发送: {project_id} - {task_id} - {progress}%")
except Exception as e:
logger.error(f"发送处理进度通知失败: {e}")
@staticmethod
async def send_processing_complete(project_id: str, task_id: str, result: Dict[str, Any]):
async def send_processing_complete(project_id: str, task_id: str, result: dict):
"""发送处理完成通知"""
await WebSocketNotificationService.send_task_update(
task_id=task_id,
status="completed",
progress=100,
message="视频处理已完成"
)
try:
notification = WebSocketMessage.create_task_update(
task_id=task_id,
status="completed",
progress=100,
message="项目处理完成"
)
await WebSocketNotificationService.send_project_update(
project_id=project_id,
status="completed",
progress=100,
message="项目处理已完成"
)
# 广播给所有连接的用户
await manager.broadcast(notification)
await WebSocketNotificationService.send_system_notification(
"processing_complete",
"处理完成",
f"项目 {project_id} 的视频处理已完成",
"success"
)
# 同时发送给特定项目主题的订阅者
topic = f"project_{project_id}"
await manager.broadcast_to_topic(notification, topic)
logger.info(f"处理完成通知已发送: {project_id} - {task_id}")
except Exception as e:
logger.error(f"发送处理完成通知失败: {e}")
@staticmethod
async def send_processing_error(project_id: str, task_id: str, error: str):
async def send_processing_error(project_id: str, task_id: str, error_message: str):
"""发送处理错误通知"""
await WebSocketNotificationService.send_task_update(
task_id=task_id,
status="failed",
error=error
)
try:
notification = WebSocketMessage.create_task_update(
task_id=task_id,
status="failed",
progress=0,
error=error_message
)
await WebSocketNotificationService.send_project_update(
project_id=project_id,
status="failed",
message=f"处理失败: {error}"
)
# 广播给所有连接的用户
await manager.broadcast(notification)
await WebSocketNotificationService.send_error_notification(
"processing_error",
f"项目 {project_id} 处理失败",
{"project_id": project_id, "task_id": task_id, "error": error}
)
# 同时发送给特定项目主题的订阅者
topic = f"project_{project_id}"
await manager.broadcast_to_topic(notification, topic)
logger.info(f"处理错误通知已发送: {project_id} - {task_id} - {error_message}")
except Exception as e:
logger.error(f"发送处理错误通知失败: {e}")
@staticmethod
async def send_processing_started(project_id: str, message: str = "开始视频处理流程"):
+15
View File
@@ -0,0 +1,15 @@
{
"timestamp": "1756884998.5577822",
"status": "HEALTHY",
"summary": {
"total_issues": 0,
"total_warnings": 0,
"critical_issues": 0,
"data_integrity_issues": 0
},
"issues": [],
"warnings": [],
"recommendations": [
"系统状态良好,建议定期运行此检查"
]
}
+6 -1
View File
@@ -7,6 +7,7 @@ from .processing import *
from .video import *
from .notification import *
from .maintenance import *
from .upload import * # 添加upload任务导入
__all__ = [
# 处理任务
@@ -27,5 +28,9 @@ __all__ = [
# 维护任务
'cleanup_expired_tasks',
'health_check',
'backup_project_data'
'backup_project_data',
# 投稿任务
'upload_clip_task',
'batch_upload_task'
]
+6 -6
View File
@@ -10,12 +10,12 @@ from pathlib import Path
from typing import Dict, Any, List, Optional
from celery import current_task, shared_task
from core.celery_app import celery_app
from core.database import SessionLocal
from models.task import Task, TaskStatus
from models.project import Project, ProjectStatus
from repositories.task_repository import TaskRepository
from repositories.project_repository import ProjectRepository
from ..core.celery_app import celery_app
from ..core.database import SessionLocal
from ..models.task import Task, TaskStatus
from ..models.project import Project, ProjectStatus
from ..repositories.task_repository import TaskRepository
from ..repositories.project_repository import ProjectRepository
logger = logging.getLogger(__name__)
+4 -4
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@@ -7,11 +7,11 @@ import logging
from pathlib import Path
from typing import Dict, Any, Optional
from celery import shared_task
from core.celery_app import celery_app
from ..core.celery_app import celery_app
from datetime import datetime
from core.database import SessionLocal
from models.task import Task, TaskStatus
from services.websocket_notification_service import WebSocketNotificationService
from ..core.database import SessionLocal
from ..models.task import Task, TaskStatus
from ..services.websocket_notification_service import WebSocketNotificationService
logger = logging.getLogger(__name__)
+57 -68
View File
@@ -1,58 +1,34 @@
"""
视频处理任务
使用Celery处理视频文件
"""视频处理Celery任务
包含WebSocket实时通知和Pipeline适配器集成
"""
import os
import logging
import asyncio
from pathlib import Path
from typing import Dict, Any, Optional
from celery import shared_task
from core.celery_simple import celery_app
import sys
from celery import current_task
from pathlib import Path
# 添加项目根目录到Python路径
project_root = Path(__file__).parent.parent.parent
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
from services.processing_orchestrator import ProcessingOrchestrator
from services.pipeline_adapter import PipelineAdapter, create_pipeline_adapter_sync
from core.config import get_data_directory
from core.database import SessionLocal
from models.task import Task, TaskStatus, TaskType
from core.progress_manager import get_progress_manager
from services.websocket_notification_service import WebSocketNotificationService
from backend.core.celery_app import celery_app
from backend.services.websocket_notification_service import notification_service
from backend.services.processing_service import ProcessingService
from backend.services.pipeline_adapter import create_pipeline_adapter
from backend.core.database import SessionLocal
from backend.models.project import Project, ProjectStatus
from backend.models.task import Task, TaskStatus, TaskType
from datetime import datetime
logger = logging.getLogger(__name__)
# 初始化通知服务
notification_service = WebSocketNotificationService()
def run_async_notification(coro):
"""运行异步通知的辅助函数"""
try:
loop = asyncio.get_event_loop()
if loop.is_closed():
# 如果事件循环已关闭,创建一个新的
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(coro)
finally:
loop.close()
else:
return loop.run_until_complete(coro)
except RuntimeError:
# 如果没有事件循环,创建一个新的
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(coro)
finally:
loop.close()
return loop.run_until_complete(coro)
@celery_app.task(bind=True, name='backend.tasks.processing.process_video_pipeline')
def process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str) -> Dict[str, Any]:
@@ -75,14 +51,6 @@ def process_video_pipeline(self, project_id: str, input_video_path: str, input_s
db = SessionLocal()
try:
# 验证项目是否存在
from models.project import Project
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise ValueError(f"项目 {project_id} 不存在")
logger.info(f"验证项目存在: {project_id}")
# 创建任务记录
task = Task(
name=f"视频处理流水线",
@@ -97,44 +65,48 @@ def process_video_pipeline(self, project_id: str, input_video_path: str, input_s
)
db.add(task)
db.commit()
db.refresh(task) # 确保获取到task.id
# 发送开始通知
run_async_notification(
notification_service.send_processing_start(project_id, task_id)
)
# 获取进度管理器
progress_manager = get_progress_manager(db)
# 创建Pipeline适配器,传入task.id以启用进度管理
pipeline_adapter = create_pipeline_adapter_sync(db, task.id, project_id)
# 执行Pipeline处理
result = pipeline_adapter.process_project_sync(project_id, input_video_path, input_srt_path)
# 根据处理结果更新任务状态
if result.get('status') == 'failed':
# 处理失败
task.status = TaskStatus.FAILED
task.progress = 100
task.current_step = "处理失败"
task.result_data = result
task.error_message = result.get('message', '处理失败')
# 创建进度回调函数
async def progress_callback(proj_id: int, progress: int, message: str):
# 更新任务进度
task.progress = progress
task.current_step = message
db.commit()
# 发送失败通知
# 发送WebSocket通知
await notification_service.send_processing_progress(str(proj_id), task_id, progress, message)
# 创建Pipeline适配器
pipeline_adapter = create_pipeline_adapter(db, str(task.id), str(project_id), progress_callback)
# 执行Pipeline处理
result = pipeline_adapter.process_project_sync(input_video_path, input_srt_path)
# 检查处理结果
if result.get("status") == "failed":
# 处理失败
error_msg = result.get("message", "处理失败")
task.status = TaskStatus.FAILED
task.error_message = error_msg
task.result_data = result
db.commit()
# 发送错误通知
run_async_notification(
notification_service.send_processing_error(project_id, task_id, result.get('message', '处理失败'))
notification_service.send_processing_error(project_id, task_id, error_msg)
)
logger.error(f"视频流水线处理失败: {project_id}, 错误: {result.get('message')}")
return {
"success": False,
"project_id": project_id,
"task_id": task_id,
"result": result,
"message": "视频处理流水线失败"
"error": error_msg,
"result": result
}
else:
# 处理成功
@@ -142,6 +114,15 @@ def process_video_pipeline(self, project_id: str, input_video_path: str, input_s
task.progress = 100
task.current_step = "处理完成"
task.result_data = result
# 更新项目状态为已完成
project = db.query(Project).filter(Project.id == project_id).first()
if project:
project.status = ProjectStatus.COMPLETED
project.completed_at = datetime.utcnow()
project.updated_at = datetime.utcnow()
logger.info(f"项目状态已更新为已完成: {project_id}")
db.commit()
# 发送完成通知
@@ -172,6 +153,14 @@ def process_video_pipeline(self, project_id: str, input_video_path: str, input_s
if task:
task.status = TaskStatus.FAILED
task.error_message = error_msg
# 更新项目状态为失败
project = db.query(Project).filter(Project.id == project_id).first()
if project:
project.status = ProjectStatus.FAILED
project.updated_at = datetime.utcnow()
logger.info(f"项目状态已更新为失败: {project_id}")
db.commit()
db.close()
except Exception as db_error:
+176
View File
@@ -0,0 +1,176 @@
"""
投稿相关Celery任务
"""
import logging
from pathlib import Path
from sqlalchemy.orm import Session
import uuid
from ..core.celery_app import celery_app
from ..core.database import SessionLocal
from ..services.bilibili_service import BilibiliUploadService
from ..core.path_utils import get_project_output_directory
logger = logging.getLogger(__name__)
@celery_app.task(bind=True, name='backend.tasks.upload.upload_clip_task')
def upload_clip_task(self, record_id: str, clip_id: str):
"""上传切片任务"""
db = SessionLocal()
try:
logger.info(f"开始上传切片: record_id={record_id}, clip_id={clip_id}")
# 获取投稿服务
upload_service = BilibiliUploadService(db)
# 转换record_id为UUID类型
try:
record_uuid = uuid.UUID(record_id)
except ValueError:
raise ValueError(f"无效的record_id格式: {record_id}")
# 获取投稿记录
upload_record = upload_service.get_upload_record(record_uuid)
if not upload_record:
raise ValueError(f"投稿记录不存在: {record_id}")
# 构建视频文件路径
project_output_dir = get_project_output_directory(str(upload_record.project_id))
logger.info(f"项目输出目录: {project_output_dir}")
# 尝试多种可能的文件命名模式
possible_paths = [
project_output_dir / "clips" / f"{clip_id}.mp4", # 标准命名
project_output_dir / "clips" / f"{clip_id}_clip_{clip_id}.mp4", # 带clip后缀的命名
project_output_dir / "clips" / f"{clip_id}_clip.mp4", # 简化clip后缀
]
logger.info(f"尝试查找文件,可能的路径: {[str(p) for p in possible_paths]}")
video_path = None
for path in possible_paths:
if path.exists():
video_path = path
logger.info(f"找到视频文件: {video_path}")
break
if not video_path:
# 如果都找不到,尝试在clips目录中搜索包含clip_id的文件
clips_dir = project_output_dir / "clips"
if clips_dir.exists():
logger.info(f"在clips目录中搜索包含{clip_id}的文件")
for file_path in clips_dir.glob(f"*{clip_id}*.mp4"):
if file_path.exists():
video_path = file_path
logger.info(f"通过搜索找到视频文件: {video_path}")
break
if not video_path:
# 列出clips目录中的所有文件,帮助调试
clips_dir = project_output_dir / "clips"
if clips_dir.exists():
all_files = list(clips_dir.glob("*.mp4"))
logger.error(f"clips目录中的所有文件: {[f.name for f in all_files]}")
raise FileNotFoundError(f"视频文件不存在,尝试了以下路径: {[str(p) for p in possible_paths]}")
# 上传视频
success = upload_service.upload_clip(record_uuid, str(video_path))
if success:
logger.info(f"切片上传成功: clip_id={clip_id}")
# 更新任务状态为成功
upload_service.update_upload_status(record_uuid, "success")
else:
logger.error(f"切片上传失败: clip_id={clip_id}")
# 更新任务状态为失败
upload_service.update_upload_status(record_uuid, "failed", "上传失败")
except Exception as e:
logger.error(f"上传切片任务失败: {str(e)}")
# 更新任务状态为失败
upload_service.update_upload_status(record_uuid, "failed", str(e))
raise
finally:
db.close()
@celery_app.task(bind=True, name='backend.tasks.upload.batch_upload_task')
def batch_upload_task(self, record_id: str):
"""批量上传任务"""
db = SessionLocal()
try:
logger.info(f"开始批量上传: record_id={record_id}")
# 获取投稿服务
upload_service = BilibiliUploadService(db)
# 转换record_id为UUID类型
try:
record_uuid = uuid.UUID(record_id)
except ValueError:
raise ValueError(f"无效的record_id格式: {record_id}")
# 获取投稿记录
upload_record = upload_service.get_upload_record(record_uuid)
if not upload_record:
raise ValueError(f"投稿记录不存在: {record_id}")
# 解析clip_ids
clip_ids = upload_record.clip_id.split(",") if upload_record.clip_id else []
if not clip_ids:
raise ValueError("没有要上传的切片")
# 逐个上传切片
for clip_id in clip_ids:
clip_id = clip_id.strip()
if clip_id:
# 构建视频文件路径
project_output_dir = get_project_output_directory(str(upload_record.project_id))
# 尝试多种可能的文件命名模式
possible_paths = [
project_output_dir / "clips" / f"{clip_id}.mp4", # 标准命名
project_output_dir / "clips" / f"{clip_id}_clip_{clip_id}.mp4", # 带clip后缀的命名
project_output_dir / "clips" / f"{clip_id}_clip.mp4", # 简化clip后缀
]
video_path = None
for path in possible_paths:
if path.exists():
video_path = path
break
if not video_path:
# 如果都找不到,尝试在clips目录中搜索包含clip_id的文件
clips_dir = project_output_dir / "clips"
if clips_dir.exists():
for file_path in clips_dir.glob(f"*{clip_id}*.mp4"):
if file_path.exists():
video_path = file_path
break
if video_path:
success = upload_service.upload_clip(record_uuid, str(video_path))
if success:
logger.info(f"切片上传成功: {clip_id}")
else:
logger.error(f"切片上传失败: {clip_id}")
else:
logger.error(f"视频文件不存在,尝试了以下路径: {[str(p) for p in possible_paths]}")
logger.info(f"批量上传完成: record_id={record_id}")
# 更新任务状态为成功
upload_service.update_upload_status(record_uuid, "success")
except Exception as e:
logger.error(f"批量上传任务失败: {str(e)}")
# 更新任务状态为失败
upload_service.update_upload_status(record_uuid, "failed", str(e))
raise
finally:
db.close()
+1 -1
View File
@@ -7,7 +7,7 @@ import logging
from pathlib import Path
from typing import Dict, Any, Optional, List
from celery import shared_task
from core.celery_app import celery_app
from ..core.celery_app import celery_app
logger = logging.getLogger(__name__)
+4 -4
View File
@@ -13,13 +13,13 @@ import os
project_root = Path(__file__).parent.parent.parent
sys.path.append(str(project_root))
from services.exceptions import (
from backend.services.exceptions import (
ServiceError, ConfigurationError, FileOperationError,
ProcessingError, TaskError, ProjectError, ConcurrentError
)
from services.processing_context import ProcessingContext
from services.config_manager import ProjectConfigManager
from services.pipeline_adapter import PipelineAdapter
from backend.services.processing_context import ProcessingContext
from backend.services.config_manager import ProjectConfigManager
from backend.services.pipeline_adapter import PipelineAdapter
class TestConfigurationErrorScenarios:
+6 -6
View File
@@ -15,12 +15,12 @@ import os
project_root = Path(__file__).parent.parent.parent
sys.path.append(str(project_root))
from services.config_manager import ProjectConfigManager, ProcessingStep
from services.pipeline_adapter import PipelineAdapter
from services.processing_orchestrator import ProcessingOrchestrator
from services.processing_service import ProcessingService
from services.processing_context import ProcessingContext
from services.exceptions import ServiceError, ConfigurationError, FileOperationError, ProcessingError
from backend.services.config_manager import ProjectConfigManager, ProcessingStep
from backend.services.pipeline_adapter import PipelineAdapter
from backend.services.processing_orchestrator import ProcessingOrchestrator
from backend.services.processing_service import ProcessingService
from backend.services.processing_context import ProcessingContext
from backend.services.exceptions import ServiceError, ConfigurationError, FileOperationError, ProcessingError
class TestProjectConfigManager:
+5 -5
View File
@@ -22,11 +22,11 @@ from repositories.factory import (
get_collection_repository,
get_task_repository
)
from core.database import get_db, init_database, reset_database
from models.project import ProjectStatus, ProjectType
from models.clip import ClipStatus
from models.collection import CollectionStatus
from models.task import TaskStatus, TaskType
from backend.core.database import get_db, init_database, reset_database
from backend.models.project import ProjectStatus, ProjectType
from backend.models.clip import ClipStatus
from backend.models.collection import CollectionStatus
from backend.models.task import TaskStatus, TaskType
class TestRepositoryPattern:
"""Repository模式测试类"""
+1 -1
View File
@@ -19,7 +19,7 @@ except ImportError:
# 独立运行时的导入
import sys
sys.path.append(str(Path(__file__).parent.parent))
from utils.error_handler import FileIOError, ValidationError, ProcessingError
from ..utils.error_handler import FileIOError, ValidationError, ProcessingError
logger = logging.getLogger(__name__)
+52
View File
@@ -0,0 +1,52 @@
"""
加密工具
用于加密存储敏感信息如cookies
"""
import os
import base64
from cryptography.fernet import Fernet
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
import logging
logger = logging.getLogger(__name__)
# 获取加密密钥
def get_encryption_key():
"""获取加密密钥"""
# 从环境变量获取密钥,如果没有则生成一个
key = os.getenv('ENCRYPTION_KEY')
if not key:
# 生成新密钥
key = Fernet.generate_key()
logger.warning("ENCRYPTION_KEY环境变量未设置,使用临时密钥。请设置环境变量以保持数据安全。")
if isinstance(key, str):
key = key.encode()
return key
def encrypt_data(data: str) -> str:
"""加密数据"""
try:
key = get_encryption_key()
f = Fernet(key)
encrypted_data = f.encrypt(data.encode())
return base64.b64encode(encrypted_data).decode()
except Exception as e:
logger.error(f"加密数据失败: {str(e)}")
raise
def decrypt_data(encrypted_data: str) -> str:
"""解密数据"""
try:
key = get_encryption_key()
f = Fernet(key)
decoded_data = base64.b64decode(encrypted_data.encode())
decrypted_data = f.decrypt(decoded_data)
return decrypted_data.decode()
except Exception as e:
logger.error(f"解密数据失败: {str(e)}")
raise
+1 -1
View File
@@ -12,7 +12,7 @@ from collections.abc import Generator
# 修复导入问题
try:
from core.shared_config import MODEL_NAME
from ..core.shared_config import MODEL_NAME
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
+2 -2
View File
@@ -10,7 +10,7 @@ from datetime import datetime
# 修复导入问题
try:
from core.shared_config import config_manager
from ..core.shared_config import config_manager
except ImportError:
# 如果相对导入失败,尝试绝对导入
import sys
@@ -18,7 +18,7 @@ except ImportError:
backend_path = Path(__file__).parent.parent
if str(backend_path) not in sys.path:
sys.path.insert(0, str(backend_path))
from core.shared_config import config_manager
from ..core.shared_config import config_manager
logger = logging.getLogger(__name__)
+315
View File
@@ -0,0 +1,315 @@
import logging
import re
import uuid
from pathlib import Path
from typing import List, Dict, Optional, Tuple
import pysrt
from pysrt import SubRipItem, SubRipTime
logger = logging.getLogger(__name__)
class SubtitleProcessor:
"""字幕处理器 - 支持字粒度的字幕解析和处理"""
def __init__(self):
# 修复正则表达式中的无效转义序列,使用原始字符串
self.word_separators = r'[,。!?;:""''()【】、\s]+'
def parse_srt_to_word_level(self, srt_path: Path) -> List[Dict]:
"""
将SRT字幕解析为字粒度的数据结构
Args:
srt_path: SRT文件路径
Returns:
字粒度字幕数据列表
"""
if not srt_path.exists():
logger.error(f"SRT文件不存在: {srt_path}")
return []
try:
subs = pysrt.open(str(srt_path), encoding='utf-8')
word_level_data = []
for sub in subs:
segment_data = self._process_subtitle_segment(sub)
word_level_data.append(segment_data)
logger.info(f"成功解析SRT文件,共 {len(word_level_data)} 个字幕段")
return word_level_data
except Exception as e:
logger.error(f"解析SRT文件失败: {e}")
return []
def _process_subtitle_segment(self, sub: SubRipItem) -> Dict:
"""
处理单个字幕段,将其分解为字粒度数据
Args:
sub: pysrt字幕项
Returns:
字粒度字幕数据
"""
# 转换时间格式
start_seconds = self._srt_time_to_seconds(sub.start)
end_seconds = self._srt_time_to_seconds(sub.end)
# 分解文本为单词
words = self._split_text_to_words(sub.text, start_seconds, end_seconds)
return {
'id': str(uuid.uuid4()),
'startTime': start_seconds,
'endTime': end_seconds,
'text': sub.text.strip(),
'words': words,
'index': sub.index
}
def _split_text_to_words(self, text: str, start_time: float, end_time: float) -> List[Dict]:
"""
将文本分解为单词,并分配时间戳
Args:
text: 字幕文本
start_time: 开始时间(秒)
end_time: 结束时间(秒)
Returns:
单词列表,每个单词包含时间戳
"""
# 清理文本
clean_text = text.strip()
if not clean_text:
return []
# 按标点符号和空格分割
word_parts = re.split(self.word_separators, clean_text)
word_parts = [part.strip() for part in word_parts if part.strip()]
if not word_parts:
return []
# 计算每个单词的时间分配
total_duration = end_time - start_time
words_count = len(word_parts)
# 简单的时间分配策略:平均分配
word_duration = total_duration / words_count
words = []
for i, word_text in enumerate(word_parts):
word_start = start_time + (i * word_duration)
word_end = word_start + word_duration
words.append({
'id': str(uuid.uuid4()),
'text': word_text,
'startTime': word_start,
'endTime': word_end
})
return words
def _srt_time_to_seconds(self, srt_time: SubRipTime) -> float:
"""
将SRT时间格式转换为秒数
Args:
srt_time: pysrt时间对象
Returns:
秒数
"""
return srt_time.hours * 3600 + srt_time.minutes * 60 + srt_time.seconds + srt_time.milliseconds / 1000
def _seconds_to_srt_time_object(self, time_str: str) -> SubRipTime:
"""
将时间字符串转换为pysrt时间对象
Args:
time_str: 时间字符串 (如 "00:01:25,140")
Returns:
pysrt时间对象
"""
# 处理逗号和点的格式
time_str = time_str.replace(',', '.')
# 解析时间
time_parts = time_str.split(':')
hours = int(time_parts[0])
minutes = int(time_parts[1])
# 处理秒和毫秒
seconds_part = time_parts[2]
if '.' in seconds_part:
seconds, milliseconds = seconds_part.split('.')
seconds = int(seconds)
milliseconds = int(milliseconds.ljust(3, '0')[:3]) # 确保3位毫秒
else:
seconds = int(seconds_part)
milliseconds = 0
return SubRipTime(hours, minutes, seconds, milliseconds)
def create_edit_operations(self, deleted_segments: List[str],
original_data: List[Dict]) -> List[Dict]:
"""
根据删除的字幕段创建编辑操作
Args:
deleted_segments: 要删除的字幕段ID列表
original_data: 原始字幕数据
Returns:
编辑操作列表
"""
operations = []
for segment_id in deleted_segments:
segment = next((s for s in original_data if s['id'] == segment_id), None)
if segment:
operation = {
'type': 'delete',
'segmentIds': [segment_id],
'timestamp': segment['startTime'],
'metadata': {
'originalText': segment['text'],
'timeRange': {
'start': segment['startTime'],
'end': segment['endTime']
}
}
}
operations.append(operation)
return operations
def generate_edited_video_timeline(self, original_data: List[Dict],
deleted_segments: List[str]) -> List[Tuple[float, float]]:
"""
生成编辑后的视频时间轴
Args:
original_data: 原始字幕数据
deleted_segments: 要删除的字幕段ID列表
Returns:
保留片段的时间范围列表 [(start, end), ...]
"""
deleted_ids = set(deleted_segments)
timeline = []
for segment in original_data:
if segment['id'] not in deleted_ids:
timeline.append((segment['startTime'], segment['endTime']))
# 合并相邻的时间段
if timeline:
merged_timeline = [timeline[0]]
for current_start, current_end in timeline[1:]:
last_start, last_end = merged_timeline[-1]
# 如果当前段与上一段相邻或重叠,则合并
if current_start <= last_end + 0.1: # 允许0.1秒的间隔
merged_timeline[-1] = (last_start, max(last_end, current_end))
else:
merged_timeline.append((current_start, current_end))
return merged_timeline
return []
def export_edited_srt(self, original_data: List[Dict],
deleted_segments: List[str],
output_path: Path) -> bool:
"""
导出编辑后的SRT文件
Args:
original_data: 原始字幕数据
deleted_segments: 要删除的字幕段ID列表
output_path: 输出文件路径
Returns:
是否成功
"""
try:
deleted_ids = set(deleted_segments)
edited_segments = []
for segment in original_data:
if segment['id'] not in deleted_ids:
edited_segments.append(segment)
# 重新编号
for i, segment in enumerate(edited_segments, 1):
segment['index'] = i
# 写入SRT文件
with open(output_path, 'w', encoding='utf-8') as f:
for segment in edited_segments:
start_time = self._seconds_to_srt_time(segment['startTime'])
end_time = self._seconds_to_srt_time(segment['endTime'])
f.write(f"{segment['index']}\n")
f.write(f"{start_time} --> {end_time}\n")
f.write(f"{segment['text']}\n\n")
logger.info(f"编辑后的SRT文件已保存: {output_path}")
return True
except Exception as e:
logger.error(f"导出编辑后的SRT文件失败: {e}")
return False
def _seconds_to_srt_time(self, seconds: float) -> str:
"""
将秒数转换为SRT时间格式
Args:
seconds: 秒数
Returns:
SRT时间格式字符串
"""
hours = int(seconds // 3600)
minutes = int((seconds % 3600) // 60)
secs = int(seconds % 60)
milliseconds = int((seconds % 1) * 1000)
return f"{hours:02d}:{minutes:02d}:{secs:02d},{milliseconds:03d}"
def get_subtitle_statistics(self, data: List[Dict]) -> Dict:
"""
获取字幕统计信息
Args:
data: 字幕数据
Returns:
统计信息
"""
if not data:
return {
'totalDuration': 0,
'wordCount': 0,
'segmentCount': 0,
'averageWordsPerSegment': 0
}
total_duration = max(seg['endTime'] for seg in data) - min(seg['startTime'] for seg in data)
word_count = sum(len(seg['words']) for seg in data)
segment_count = len(data)
return {
'totalDuration': total_duration,
'wordCount': word_count,
'segmentCount': segment_count,
'averageWordsPerSegment': word_count / segment_count if segment_count > 0 else 0
}
+103
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"""
任务提交工具
独立的工具函数,避免循环导入问题
"""
import logging
from typing import Dict, Any, Optional
from ..core.celery_app import celery_app
logger = logging.getLogger(__name__)
def submit_video_pipeline_task(project_id: str, input_video_path: str, input_srt_path: str) -> Dict[str, Any]:
"""
提交视频流水线任务
Args:
project_id: 项目ID
input_video_path: 输入视频路径
input_srt_path: 输入SRT路径
Returns:
任务提交结果
"""
try:
logger.info(f"提交视频流水线任务: {project_id}")
# 直接使用celery_app提交任务
logger.info(f"准备提交任务到队列...")
logger.info(f"任务名称: backend.tasks.processing.process_video_pipeline")
logger.info(f"任务参数: {[project_id, input_video_path, input_srt_path]}")
try:
celery_task = celery_app.send_task(
'backend.tasks.processing.process_video_pipeline',
args=[project_id, input_video_path, input_srt_path]
)
logger.info(f"视频流水线任务已提交: {celery_task.id}")
logger.info(f"任务状态: {celery_task.state}")
# 检查任务是否真的提交到队列
import redis
r = redis.Redis(host='localhost', port=6379, db=0)
queue_length = r.llen('processing')
logger.info(f"Redis队列长度: {queue_length}")
except Exception as e:
logger.error(f"任务提交过程中出现异常: {e}")
raise
return {
'success': True,
'task_id': celery_task.id,
'status': 'PENDING',
'message': '视频流水线任务已提交'
}
except Exception as e:
logger.error(f"提交视频流水线任务失败: {project_id}, 错误: {e}")
return {
'success': False,
'error': str(e),
'message': '任务提交失败'
}
def submit_single_step_task(project_id: str, step: str, config: Dict[str, Any]) -> Dict[str, Any]:
"""
提交单个步骤任务
Args:
project_id: 项目ID
step: 步骤名称
config: 处理配置
Returns:
任务提交结果
"""
try:
logger.info(f"提交单个步骤任务: {project_id}, {step}")
# 直接使用celery_app提交任务
celery_task = celery_app.send_task(
'tasks.processing.process_single_step',
args=[project_id, step, config]
)
logger.info(f"单个步骤任务已提交: {celery_task.id}")
return {
'success': True,
'task_id': celery_task.id,
'step': step,
'status': 'PENDING',
'message': f'步骤 {step} 任务已提交'
}
except Exception as e:
logger.error(f"提交单个步骤任务失败: {project_id}, {step}, 错误: {e}")
return {
'success': False,
'error': str(e),
'message': '任务提交失败'
}
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