- Python 3.9+ (3.11 recommended)
- Git
- GitHub Personal Access Token with
reposcope
-
Clone and setup
git clone https://github.com/DevGruGold/XMRT-Ecosystem.git cd XMRT-Ecosystem # Install development dependencies pip install -r requirements-dev.txt
-
Configure environment
cp .env.example .env # Edit .env with your GitHub token and other settings -
Set up pre-commit hooks
pre-commit install
-
Run tests
pytest --cov=app
-
Start development server
python main.py
- Black - Code formatting (line length: 127)
- isort - Import sorting
- flake8 - Linting and style checks
- mypy - Type checking
- bandit - Security vulnerability scanning
- pytest - Testing with coverage >85%
Before submitting a PR, ensure:
- All tests pass
- Code coverage maintained >85%
- Security scan passes
- Documentation updated
- Type hints added for new functions
- Error handling implemented
-
Create feature branch
git checkout -b feature/your-feature-name
-
Develop with quality checks
# Format code black . isort . # Run tests pytest --cov=app # Security check bandit -r .
-
Commit changes (pre-commit hooks will run automatically)
git add . git commit -m "feat: your feature description"
-
Push and create PR
git push origin feature/your-feature-name # Create PR on GitHub
main.py (2,800+ lines) - NEEDS REFACTORING
├── AI Processing
├── GitHub Integration
├── Agent System
├── Flask Routes
└── Analytics
xmrt_ecosystem/
├── app/
│ ├── agents/ # AI agent implementations
│ ├── integrations/ # External service integrations
│ ├── api/ # Flask routes and endpoints
│ ├── models/ # Data models and schemas
│ └── utils/ # Utility functions
├── tests/ # Comprehensive test suite
├── docs/ # Documentation
└── config/ # Configuration files
- Issue tracking created (#1069-1073)
- Development infrastructure setup
- Modular architecture refactor
- Comprehensive testing framework
- Security hardening
- Database persistence layer
- Enhanced error handling
- Performance optimization
- Real-time monitoring
- AI agent learning capabilities
- Advanced analytics dashboard
- Plugin system architecture
- Multi-organization support
See our Contributing Guide for detailed information on:
- Code style guidelines
- Testing requirements
- PR submission process
- Security considerations
- Response Time: <200ms for API endpoints
- Memory Usage: <512MB on Render free tier
- Test Coverage: >85%
- Security Score: A+ rating
- Uptime: >99.5%
Current Status: ✅ Development infrastructure active, ready for collaborative improvement!