Thank you for your interest in contributing to the Enhanced Container Management System! This document provides guidelines and instructions for contributing.
- Be respectful and inclusive
- Provide constructive feedback
- Help others learn and grow
- Report issues professionally
- Fork the repository
- Clone your fork locally
- Create a virtual environment
- Install dependencies
- Create a feature branch
git clone https://github.com/your-username/enhanced-cms.git
cd enhanced-cms
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
git checkout -b feature/your-feature- Follow PEP 8 guidelines
- Use meaningful variable names
- Keep functions focused and modular
- Add docstrings to all functions
- No comments in production code
- No emojis in code
- Use clear, self-documenting code
- Remove debug statements before committing
- Write tests for new features
- Run comprehensive tests before submitting PR
- Ensure all existing tests pass
- Test on multiple environments if possible
python3 comprehensive_ids_test.py- Check existing issues and pull requests
- Discuss major changes in an issue first
- Ensure your fork is up to date with main branch
- Create a feature branch from
main - Make focused, atomic commits
- Write clear commit messages
- Push regularly to your fork
Type: Brief description (50 chars max)
Detailed explanation if needed, wrapped at 72 characters.
Mention any related issues: Fixes #123
- Use bullet points for multiple changes
- Explain why the change was made
- Reference issue numbers
feat:A new featurefix:A bug fixdocs:Documentation onlyrefactor:Code refactoring without behavior changetest:Adding or updating testschore:Build process, dependencies, etc.
- Update README.md with new features or changes
- Update CHANGELOG.md with your changes
- Ensure all tests pass locally
- Submit PR with clear description
- Link related issues
- Wait for review and address feedback
[Type] Brief description
Example: [feat] Add Kubernetes support to IDS
Example: [fix] Correct SQL injection pattern detection
## Description
Brief description of changes
## Type of Change
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Documentation update
## Testing
How was this tested?
## Checklist
- [ ] Tests pass locally
- [ ] Code follows style guidelines
- [ ] Documentation updated
- [ ] No new warnings generated
- [ ] Changes verified in clean environment- At least 1 approval required before merge
- Address all requested changes
- Maintain professional communication
- Ask questions if feedback is unclear
If contributing new or improved models:
- Train model with scikit-learn (compatible with 1.6.1+)
- Save model as
.pklfile - Add model loading test
- Update
cms/ids_manager.pywith new detection patterns - Document model architecture and training data
- Include performance metrics
- Test hybrid detection (manual + ML)
- Scikit-learn compatible
- Pickle serializable
- Clear feature requirements
- Performance tested (>95% accuracy preferred)
- Add docstring to functions
- Update README with feature description
- Add API endpoint documentation if applicable
- Include usage examples
- Document what was broken
- Explain the root cause
- Show how fix resolves issue
- Add test case preventing regression
Use GitHub Issues to report bugs or suggest features.
## Description
Clear description of the bug
## Steps to Reproduce
1. Step one
2. Step two
3. Step three
## Expected Behavior
What should happen
## Actual Behavior
What actually happens
## Environment
- OS:
- Python:
- Docker:
- Branch:
## Logs
Include relevant logs or screenshots## Feature Description
Clear description of requested feature
## Use Case
Why is this feature needed?
## Proposed Solution
How should it work?
## Alternatives
Other possible approaches
## Additional Context
Any other informationgit clone https://github.com/your-username/enhanced-cms.git
cd enhanced-cms
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install -r requirements-dev.txt # if it existspython3 comprehensive_ids_test.pypython3 enhanced_api.py
# Access http://localhost:5001 in browser- Minimize database queries
- Cache frequently accessed data
- Profile code before optimization
- Consider memory usage in long-running processes
- Test with realistic data volumes
- Never commit secrets or credentials
- Use environment variables for sensitive data
- Validate all user inputs
- Sanitize log outputs
- Follow OWASP guidelines
- Review security implications of changes
def analyze_web_log(self, log_line):
"""Analyze web server log for threats.
Performs manual pattern matching and ML analysis
to detect web-based attacks.
Args:
log_line (str): Raw web server log line
Returns:
dict: Alert object if threat detected, None otherwise
Raises:
ValueError: If log format is invalid
"""
pass# Only use comments for "why", not "what"
# Good: timeout protects against infinite loops
# Bad: set timeout to 30
timeout = 30 # seconds
# For complex algorithms, explain the approach
# We use hybrid detection: manual rules first (fast)
# then ML models for anomalies (comprehensive)- Update version numbers
- Update CHANGELOG.md
- Create release notes
- Tag release on GitHub
- Create GitHub release with notes
- Announce on relevant channels
- Check existing issues and discussions
- Create a new discussion for questions
- Mention relevant maintainers
- Be patient and respectful
Contributors will be recognized in:
- CONTRIBUTORS.md file
- GitHub contributors page
- Release notes for major contributions
By contributing, you agree your code will be licensed under the same license as the project (MIT License).
Thank you for contributing to Enhanced CMS!