# 克隆项目
git clone <repository-url>
cd translation_mcp

# 使用 uv 安装依赖（推荐）
uv sync

# 或使用 pip 安装
pip install -e .

# OpenAI API 配置
OPENAI_API_KEY=your_api_key_here
OPENAI_BASE_URL=https://api.openai.com/v1  # 可选，默认为 OpenAI 官方 API
OPENAI_MODEL=gpt-3.5-turbo  # 可选，默认模型

{
  "mcpServers": {
    "translation": {
      "command": "python",
      "args": ["/path/to/translation_mcp.py"],
      "env": {
        "OPENAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

# 构建 wheel 包
uv build

# 查看生成的 whl 文件
ls dist/

{
  "mcpServers": {
    "translation": {
      "command": "uvx",
      "args": ["/path/to/translation_mcp/dist/translation_mcp-0.1.0-py3-none-any.whl"],
      "env": {
        "OPENAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "translation": {
      "command": "uvx",
      "args": ["translation-mcp"],
      "env": {
        "OPENAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

# 直接运行进行测试
python translation_mcp.py

# 运行测试套件
python test_mcp.py

{
  "text": "Hello, world!",
  "target_language": "zh",
  "source_language": "en"
}

{
  "text": "Bonjour le monde!"
}

{
  "text": "很长的文本内容...",
  "target_language": "en",
  "max_chunk_size": 1500
}

{
  "translated_text": "翻译后的文本",
  "source_language": "en",
  "target_language": "zh",
  "model": "gpt-3.5-turbo",
  "success": true
}

{
  "error": "错误信息",
  "success": false
}

{
  "translated_text": "完整的翻译文本",
  "source_language": "auto-detected",
  "target_language": "zh",
  "chunks_count": 3,
  "success": true
}

# 使用本地模型服务
OPENAI_BASE_URL=http://localhost:8000/v1
OPENAI_API_KEY=your_local_api_key

# 使用其他云服务
OPENAI_BASE_URL=https://your-service.com/v1
OPENAI_API_KEY=your_service_api_key

translation_mcp/
├── translation_mcp.py    # 主程序文件
├── pyproject.toml       # 项目配置和依赖
├── uv.lock             # 锁定的依赖版本
├── MANIFEST.in         # 打包配置
├── .env                # 环境变量配置
├── dist/               # 构建输出目录
└── README.md          # 项目文档

# 构建项目
uv build

# 发布到 PyPI（可选）
uv publish