newthought-quantum-coherence / CONTRIBUTING.md
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# Contributing to Numbskull
Thank you for your interest in contributing to Numbskull! This document provides guidelines and information for contributors.
## πŸš€ Getting Started
### Prerequisites
- Python 3.8 or higher
- Git
- Basic understanding of embedding systems and machine learning
### Development Setup
1. **Fork the repository**
```bash
git clone https://github.com/your-username/numbskull.git
cd numbskull
```
2. **Create a 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
pip install -e . # Install in development mode
```
4. **Install development dependencies**
```bash
pip install pytest black flake8 mypy
```
5. **Run tests**
```bash
cd advanced_embedding_pipeline
python simple_test.py
```
## 🎯 How to Contribute
### Types of Contributions
1. **Bug Reports**: Report issues you find
2. **Feature Requests**: Suggest new features
3. **Code Contributions**: Fix bugs or add features
4. **Documentation**: Improve documentation
5. **Testing**: Add tests or improve test coverage
### Contribution Workflow
1. **Create an Issue**
- Describe the problem or feature request
- Provide context and examples
- Assign appropriate labels
2. **Fork and Branch**
```bash
git checkout -b feature/your-feature-name
# or
git checkout -b bugfix/your-bug-fix
```
3. **Make Changes**
- Write clean, documented code
- Add tests for new functionality
- Update documentation as needed
4. **Test Your Changes**
```bash
# Run basic tests
python simple_test.py
# Run full integration tests (if applicable)
python integration_test.py
# Run linting
flake8 .
black --check .
```
5. **Commit and Push**
```bash
git add .
git commit -m "Add: brief description of changes"
git push origin feature/your-feature-name
```
6. **Create Pull Request**
- Provide clear description
- Link to related issues
- Request reviews from maintainers
## πŸ“ Coding Standards
### Python Code Style
- Follow PEP 8 guidelines
- Use type hints where possible
- Write docstrings for all functions and classes
- Keep functions small and focused
### Example Code Style
```python
from typing import List, Dict, Any, Optional
import logging
logger = logging.getLogger(__name__)
class ExampleEmbedder:
"""
Example embedder following coding standards.
Args:
config: Configuration for the embedder
"""
def __init__(self, config: Dict[str, Any]):
self.config = config
self.logger = logger
async def embed_text(self, text: str) -> List[float]:
"""
Embed a single text.
Args:
text: Input text to embed
Returns:
Embedding vector
Raises:
ValueError: If text is empty
"""
if not text:
raise ValueError("Text cannot be empty")
# Implementation here
return [0.1, 0.2, 0.3] # Example return
```
### Documentation Standards
- Use clear, concise language
- Provide examples for complex features
- Update README.md for user-facing changes
- Add docstrings for all public APIs
### Testing Standards
- Write tests for new functionality
- Aim for >80% test coverage
- Test both success and failure cases
- Use descriptive test names
```python
import pytest
from advanced_embedding_pipeline import ExampleEmbedder
class TestExampleEmbedder:
"""Test suite for ExampleEmbedder."""
def test_embed_text_success(self):
"""Test successful text embedding."""
embedder = ExampleEmbedder({})
result = embedder.embed_text("test text")
assert len(result) > 0
assert all(isinstance(x, (int, float)) for x in result)
def test_embed_text_empty_input(self):
"""Test embedding with empty input."""
embedder = ExampleEmbedder({})
with pytest.raises(ValueError):
embedder.embed_text("")
```
## πŸ§ͺ Testing
### Running Tests
```bash
# Basic functionality test
python simple_test.py
# Full integration test (requires external services)
python integration_test.py
# Comprehensive demo
python demo.py
# Unit tests (when available)
pytest tests/
```
### Adding New Tests
1. Create test files in the `tests/` directory
2. Use descriptive test names
3. Test both positive and negative cases
4. Mock external dependencies when possible
## πŸ“š Documentation
### Types of Documentation
1. **README.md**: Main project documentation
2. **Code Comments**: Inline code documentation
3. **Docstrings**: Function and class documentation
4. **Examples**: Usage examples and tutorials
### Writing Documentation
- Use clear, simple language
- Provide practical examples
- Keep documentation up-to-date
- Use consistent formatting
## πŸ› Bug Reports
### Before Reporting
1. Check existing issues
2. Try the latest version
3. Reproduce the issue
4. Gather relevant information
### Bug Report Template
```markdown
**Bug Description**
A clear description of the bug.
**Steps to Reproduce**
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
**Expected Behavior**
What you expected to happen.
**Actual Behavior**
What actually happened.
**Environment**
- OS: [e.g., Ubuntu 20.04]
- Python Version: [e.g., 3.9]
- Numbskull Version: [e.g., 1.0.0]
**Additional Context**
Any other relevant information.
```
## πŸ’‘ Feature Requests
### Feature Request Template
```markdown
**Feature Description**
A clear description of the feature.
**Use Case**
Why is this feature needed?
**Proposed Solution**
How should this feature work?
**Alternatives Considered**
Other solutions you've considered.
**Additional Context**
Any other relevant information.
```
## πŸ” Code Review Process
### For Contributors
- Respond to review feedback promptly
- Make requested changes
- Ask questions if feedback is unclear
- Test changes after addressing feedback
### For Reviewers
- Be constructive and respectful
- Focus on code quality and correctness
- Provide specific, actionable feedback
- Approve when changes meet standards
## πŸ“‹ Pull Request Guidelines
### PR Description Template
```markdown
## Description
Brief description of changes.
## Type of Change
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Documentation update
## Testing
- [ ] Tests pass locally
- [ ] New tests added (if applicable)
- [ ] Documentation updated
## Checklist
- [ ] Code follows style guidelines
- [ ] Self-review completed
- [ ] Comments added for complex code
- [ ] No unnecessary debug code
```
## 🏷️ Labels and Milestones
### Issue Labels
- `bug`: Something isn't working
- `enhancement`: New feature or request
- `documentation`: Improvements to documentation
- `good first issue`: Good for newcomers
- `help wanted`: Extra attention needed
- `question`: Further information is requested
### PR Labels
- `ready for review`: Ready for code review
- `work in progress`: Still being worked on
- `needs testing`: Requires additional testing
- `breaking change`: Changes existing behavior
## πŸš€ Release Process
1. **Version Bumping**: Update version in `setup.py` and `__init__.py`
2. **Changelog**: Update CHANGELOG.md with new features/fixes
3. **Testing**: Ensure all tests pass
4. **Tagging**: Create git tag for release
5. **Documentation**: Update documentation if needed
## πŸ“ž Getting Help
- **Issues**: [GitHub Issues](https://github.com/9x25dillon/numbskull/issues)
- **Discussions**: [GitHub Discussions](https://github.com/9x25dillon/numbskull/discussions)
- **Email**: [Your contact information]
## πŸ“„ License
By contributing to Numbskull, you agree that your contributions will be licensed under the MIT License.
## πŸ™ Recognition
Contributors will be recognized in:
- CONTRIBUTORS.md file
- Release notes
- Project documentation
Thank you for contributing to Numbskull! πŸŽ‰