add how to contribute file
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CONTRIBUTING_en.md
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CONTRIBUTING_en.md
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# How to Contribute
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Thank you for your interest in AgentScope Samples! AgentScope Samples provides ready-to-use agent examples built on AgentScope and AgentScope Runtime. We welcome all types of contributions, from new sample agent applications to bug fixes and documentation improvements.
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## Community
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Connect with us through:
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- **GitHub Discussions**: Ask questions and share experiences (in **English**)
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- **Discord**: Join our Discord channel for real-time discussions
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- **DingTalk**: Chinese users can join our DingTalk group
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## Reporting Issues
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### Bugs
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Before reporting a bug, please test with the latest version and search existing issues. When submitting a bug report, include:
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- Clear description of the issue and reproduction steps
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- Code/error messages
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- Environment details (OS, Python version, AgentScope version)
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- Affected examples
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### Security Issues
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Report security issues through [Alibaba Security Response Center (ASRC)](https://security.alibaba.com/).
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## Requesting New Features
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If you'd like a feature or new type of example that doesn't exist in AgentScope Samples, please open a feature request issue on GitHub describing:
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- The feature or example and its purpose
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- How it should work
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- What problem it solves or what use case it demonstrates
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## Contributing Code
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### Setup
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1. **Fork and clone** the repository
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2. **Install pre-commit**:
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```bash
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pip install pre-commit
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pre-commit install
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```
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3. **Create a branch**:
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```bash
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git checkout -b feature/your-sample-name
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```
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### Creating New Examples
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#### Directory Structure
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Choose an appropriate category (`browser_use/`, `conversational_agents/`, `deep_research/`, `evaluation/`, `functionality/`, `games/`) and create your example directory. If a suitable category doesn't exist, you can propose a new one in your pull request.
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**Simple example:**
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```
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your_sample_name/
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├── README.md
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├── main.py
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├── your_agent.py
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└── requirements.txt
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```
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**Full-stack example** (use `_fullstack_runtime` suffix):
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```
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your_sample_fullstack_runtime/
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├── README.md
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├── backend/
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│ ├── requirements.txt
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│ └── ...
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└── frontend/
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├── package.json
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└── ...
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```
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#### README.md Requirements (Mandatory)
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Your README.md **must** include:
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1. **Title and Description**: What the example demonstrates
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2. **Project Structure** (mandatory): File tree with descriptions
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```markdown
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## 🌳 Project Structure
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\`\`\`
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.
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├── README.md # Documentation
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├── main.py # Entry point
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├── agent.py # Agent implementation
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└── requirements.txt # Dependencies
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\`\`\`
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```
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3. **Prerequisites**: Python version, API keys, etc.
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4. **Installation**:
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```bash
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pip install -r requirements.txt
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```
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5. **Setup**: Environment variables or configuration steps
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6. **Usage**: How to run the example
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```bash
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python main.py
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```
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#### Standalone Installation
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Each example must include a standalone `requirements.txt` file listing all necessary dependencies to ensure it can be installed and run independently without relying on other examples.
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#### Code Quality
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We enforce the following using pre-commit hooks:
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- **Black**: Code formatting (line length 79)
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- **flake8** and **pylint**: Code linting
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- **mypy**: Type checking
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When writing example code:
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- Add clear comments and follow existing code style
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- Add type hints to function signatures
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- Keep code simple and focused on demonstrating specific features
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Ensure all checks pass:
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```bash
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pre-commit run --all-files
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```
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### Submitting Your Contribution
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1. **Commit** with clear messages:
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```bash
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git commit -m "Add: new browser automation sample"
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```
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Use prefixes: `Add:`, `Fix:`, `Update:`, `Doc:`
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2. **Push** to your fork:
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```bash
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git push origin feature/your-sample-name
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```
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3. **Create a Pull Request** including:
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- Clear description of what the example demonstrates
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- References to related issues (e.g., "Closes #123")
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4. **Code Review**: Address feedback from maintainers
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Thank you for contributing to AgentScope Samples!
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154
CONTRIBUTING_zh.md
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CONTRIBUTING_zh.md
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# 如何贡献
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感谢您对 AgentScope Samples 的关注!AgentScope Samples 提供基于 AgentScope 和 AgentScope Runtime 构建的即用型智能体示例。我们欢迎各种类型的贡献,从新的示例智能体应用到错误修复和文档改进。
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## 社区
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通过以下方式与我们联系:
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- **GitHub Discussions**:提问和分享经验(使用**英文**)
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- **Discord**:加入我们的 Discord 频道进行实时讨论
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- **钉钉**:中国用户可以加入我们的钉钉群
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## 报告问题
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### Bug
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报告 bug 前,请先测试最新版本并搜索已有问题。提交 bug 报告时,请包括:
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- 清晰的问题描述和复现步骤
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- 代码/错误信息
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- 环境详情(操作系统、Python 版本、AgentScope 版本)
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- 受影响的示例
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### 安全问题
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通过[阿里巴巴安全响应中心(ASRC)](https://security.alibaba.com/)报告安全问题。
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## 请求新功能
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如果您希望有一个在 AgentScope Samples 中不存在的功能或新类型的示例,请在 GitHub 上开一个功能请求 issue 来描述:
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- 该功能或示例及其目的
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- 它应该如何工作
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- 它解决了什么问题或演示了什么用例
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## 贡献代码
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### 设置
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1. **Fork 并克隆**仓库
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2. **安装 pre-commit**:
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```bash
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pip install pre-commit
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pre-commit install
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```
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3. **创建分支**:
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```bash
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git checkout -b feature/your-sample-name
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```
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### 创建新示例
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#### 目录结构
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选择合适的类别(`browser_use/`、`conversational_agents/`、`deep_research/`、`evaluation/`、`functionality/`、`games/`)并创建示例目录。如果不存在合适的类别,您可以在 pull request 中提议一个新类别。
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**简单示例:**
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```
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your_sample_name/
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├── README.md
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├── main.py
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├── your_agent.py
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└── requirements.txt
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```
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**全栈示例**(使用 `_fullstack_runtime` 后缀):
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```
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your_sample_fullstack_runtime/
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├── README.md
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├── backend/
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│ ├── requirements.txt
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│ └── ...
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└── frontend/
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├── package.json
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└── ...
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```
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#### README.md 要求(强制)
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您的 README.md **必须**包含:
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1. **标题和描述**:示例演示的内容
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2. **项目结构**(强制):带说明的文件树
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```markdown
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## 🌳 项目结构
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\`\`\`
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.
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├── README.md # 文档
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├── main.py # 入口点
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├── agent.py # 智能体实现
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└── requirements.txt # 依赖项
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\`\`\`
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```
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3. **前置要求**:Python 版本、API 密钥等
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4. **安装**:
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```bash
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pip install -r requirements.txt
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```
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5. **设置**:环境变量或配置步骤
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6. **使用方法**:如何运行示例
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```bash
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python main.py
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```
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#### 独立安装
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每个示例需包含独立的 `requirements.txt` 文件,列出所有必需的依赖项,以确保可独立安装和运行,不依赖其他示例。
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#### 代码质量
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我们使用 pre-commit hooks 强制执行:
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- **Black**:代码格式化(行长度 79)
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- **flake8** 和 **pylint**:代码检查
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- **mypy**:类型检查
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编写示例代码时:
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- 添加清晰的注释,遵循现有代码风格
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- 为函数签名添加类型提示
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- 保持代码简单,专注于演示特定功能
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确保通过所有检查:
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```bash
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pre-commit run --all-files
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```
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### 提交您的贡献
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1. **提交**时使用清晰的消息:
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```bash
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git commit -m "Add: new browser automation sample"
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```
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使用前缀:`Add:`、`Fix:`、`Update:`、`Doc:`
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2. **推送**到您的 fork:
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```bash
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git push origin feature/your-sample-name
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```
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3. **创建 Pull Request**,包含:
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- 示例演示内容的清晰描述
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- 相关问题的引用(例如 "Closes #123")
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4. **代码审查**:处理维护者的反馈
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感谢您为 AgentScope Samples 做出贡献!
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