Files
my-pal-mcp-server/CONTRIBUTING.md
Fahad fb5c04ea60 feat: implement comprehensive thinking modes and migrate to google-genai
Major improvements to thinking capabilities and API integration:

- Remove all output token limits for future-proof responses
- Add 5-level thinking mode system: minimal, low, medium, high, max
- Migrate from google-generativeai to google-genai library
- Implement native thinkingBudget support for Gemini 2.5 Pro
- Set medium thinking as default for all tools, max for think_deeper

🧠 Thinking Modes:
- minimal (128 tokens) - simple tasks
- low (2048 tokens) - basic reasoning
- medium (8192 tokens) - default for most tools
- high (16384 tokens) - complex analysis
- max (32768 tokens) - default for think_deeper

🔧 Technical Changes:
- Complete migration to google-genai>=1.19.0
- Remove google-generativeai dependency
- Add ThinkingConfig with thinking_budget parameter
- Update all tools to support thinking_mode parameter
- Comprehensive test suite with 37 passing unit tests
- CI-friendly testing (no API key required for unit tests)
- Live integration tests for API verification

🧪 Testing & CI:
- Add GitHub Actions workflow with multi-Python support
- Unit tests use mocks, no API key required
- Live integration tests optional with API key
- Contributing guide with development setup
- All tests pass without external dependencies

🐛 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-06-09 09:35:21 +04:00

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# Contributing to Gemini MCP Server
Thank you for your interest in contributing! This guide explains how to set up the development environment and contribute to the project.
## Development Setup
1. **Clone the repository**
```bash
git clone https://github.com/BeehiveInnovations/gemini-mcp-server.git
cd gemini-mcp-server
```
2. **Create virtual environment**
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. **Install dependencies**
```bash
pip install -r requirements.txt
```
## Testing Strategy
### Two Types of Tests
#### 1. Unit Tests (Mandatory - No API Key Required)
- **Location**: `tests/test_*.py` (except `test_live_integration.py`)
- **Purpose**: Test logic, mocking, and functionality without API calls
- **Run with**: `python -m pytest tests/ --ignore=tests/test_live_integration.py -v`
- **GitHub Actions**: ✅ Always runs
- **Coverage**: Measures code coverage
#### 2. Live Integration Tests (Optional - API Key Required)
- **Location**: `tests/test_live_integration.py`
- **Purpose**: Verify actual API integration works
- **Run with**: `python tests/test_live_integration.py` (requires `GEMINI_API_KEY`)
- **GitHub Actions**: 🔒 Only runs if `GEMINI_API_KEY` secret is set
### Running Tests
```bash
# Run all unit tests (CI-friendly, no API key needed)
python -m pytest tests/ --ignore=tests/test_live_integration.py -v
# Run with coverage
python -m pytest tests/ --ignore=tests/test_live_integration.py --cov=. --cov-report=html
# Run live integration tests (requires API key)
export GEMINI_API_KEY=your-api-key-here
python tests/test_live_integration.py
```
## Code Quality
### Formatting and Linting
```bash
# Install development tools
pip install black ruff
# Format code
black .
# Lint code
ruff check .
```
### Pre-commit Checks
Before submitting a PR, ensure:
- [ ] All unit tests pass: `python -m pytest tests/ --ignore=tests/test_live_integration.py -v`
- [ ] Code is formatted: `black --check .`
- [ ] Code passes linting: `ruff check .`
- [ ] Live tests work (if you have API access): `python tests/test_live_integration.py`
## Adding New Features
### Adding a New Tool
1. **Create tool file**: `tools/your_tool.py`
2. **Inherit from BaseTool**: Implement all required methods
3. **Add system prompt**: Include prompt in `prompts/tool_prompts.py`
4. **Register tool**: Add to `TOOLS` dict in `server.py`
5. **Write tests**: Add unit tests that use mocks
6. **Test live**: Verify with live API calls
### Testing New Tools
```python
# Unit test example (tools/test_your_tool.py)
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_your_tool(self, mock_create_model):
mock_model = Mock()
mock_model.generate_content.return_value = Mock(
candidates=[Mock(content=Mock(parts=[Mock(text="Expected response")]))]
)
mock_create_model.return_value = mock_model
tool = YourTool()
result = await tool.execute({"param": "value"})
assert len(result) == 1
assert "Expected response" in result[0].text
```
## CI/CD Pipeline
The GitHub Actions workflow:
1. **Unit Tests**: Run on all Python versions (3.10, 3.11, 3.12)
2. **Linting**: Check code formatting and style
3. **Live Tests**: Only run if `GEMINI_API_KEY` secret is available
### Key Features:
- **✅ No API key required for PRs** - All contributors can run tests
- **🔒 Live verification available** - Maintainers can verify API integration
- **📊 Coverage reporting** - Track test coverage
- **🐍 Multi-Python support** - Ensure compatibility
## Contribution Guidelines
### Pull Request Process
1. **Fork the repository**
2. **Create a feature branch**: `git checkout -b feature/your-feature`
3. **Make your changes**
4. **Add/update tests**
5. **Run tests locally**: Ensure unit tests pass
6. **Submit PR**: Include description of changes
### Code Standards
- **Follow existing patterns**: Look at existing tools for examples
- **Add comprehensive tests**: Both unit tests (required) and live tests (recommended)
- **Update documentation**: Update README if adding new features
- **Use type hints**: All new code should include proper type annotations
- **Keep it simple**: Follow SOLID principles and keep functions focused
### Security Considerations
- **Never commit API keys**: Use environment variables
- **Validate inputs**: Always validate user inputs in tools
- **Handle errors gracefully**: Provide meaningful error messages
- **Follow security best practices**: Sanitize file paths, validate file access
## Getting Help
- **Issues**: Open an issue for bugs or feature requests
- **Discussions**: Use GitHub Discussions for questions
- **Documentation**: Check the README for usage examples
## License
By contributing, you agree that your contributions will be licensed under the MIT License.