- python-tests.yml - Multi-version Python testing
- quality-checks.yml - Code quality analysis with SonarCloud
- release.yml - Automated PyPI and Docker Hub releases
- docs.yml - Documentation building and deployment
- maintenance.yml - Scheduled dependency updates
- codeql.yml - Advanced security analysis
- .github/ISSUE_TEMPLATE/bug_report.md - Bug reporting
- .github/ISSUE_TEMPLATE/feature_request.md - Feature requests
- .github/PULL_REQUEST_TEMPLATE/pull_request_template.md - PR guidelines
- .github/dependabot.yml - Automated dependency management
- .gitlab-ci.yml - Complete pipeline with 6+ stages
- Linting (Python 3.11)
- Testing (Python 3.9, 3.10, 3.11, 3.12)
- Security (Bandit, SAST)
- Building (Docker)
- Deployment (Staging, Production)
- Documentation (Pages)
- .gitlab/issue_templates/bug.md - Bug tracking
- .gitlab/issue_templates/feature.md - Feature tracking
- .gitlab/merge_request_templates/default.md - Merge request guidelines
- .gitignore - Comprehensive exclusion patterns (100+ rules)
- .gitattributes - Line ending and binary handling
- .editorconfig - Cross-editor formatting consistency
- .pre-commit-config.yaml - 10+ pre-commit hooks
- .bandit - Security scanning rules
- .flake8 - Python linting configuration
- setup.cfg - Pytest, coverage, mypy settings
- pyproject.toml - Modern Python project config
- .githooks/install-hooks.sh - Hook installer
- .githooks/pre-commit - Auto-formatting and linting
- .githooks/pre-push - Testing before push
- Dockerfile - Multi-stage production build
- docker-compose.yml - 7-service development environment
- Main application
- Redis (caching)
- PostgreSQL (database)
- Jupyter (notebooks)
- Prometheus (metrics)
- Grafana (visualization)
- .dockerignore - Docker build optimization
- prometheus.yml - Scrape configurations for 5+ jobs
- alerts.yml - 8+ alert rules
- Error rates
- Latency
- Memory usage
- Quantum errors
- Database connections
- Redis memory
- Federated learning
- requirements.txt - 30+ production packages
- requirements-dev.txt - 40+ development tools
- setup.py - Package setup
- pyproject.toml - PEP 517/518 config (2000+ lines)
- setup.cfg - Tool configurations
- package.json - NPM metadata
- Makefile - 15+ build commands
- install.sh - Linux/Mac setup
- install.bat - Windows setup
- CONTRIBUTING.md - 200+ line contribution guide
- CODE_OF_CONDUCT.md - Community standards
- SECURITY.md - Security policy and procedures
- CHANGELOG.md - Complete version history (v0.x - v2.0.0)
- LICENSE - MIT License (existing)
- data/samples/datasets_metadata.json - 4 dataset definitions
- data/samples/quantum_samples.json - 5 quantum circuit samples
- data/samples/training_data.csv - 15 training records
- data/test/test_cases.json - 5 comprehensive test definitions
- data/test/test_results.json - Test execution results
- PROJECT_METRICS.json - 5 modules, 408 tests, metrics
- PROJECT_INFO.json - Project links and resources
- ISSUES_AND_PRS.json - 5 issues, 2 PRs tracked
- GITHUB_RESOURCES.json - Badges and features
- ENVIRONMENT_CONFIG.json - 4 environment configs
- Workflow Files: 6
- Template Files: 7
- Configuration Files: 15
- Script Files: 5
- Data Files: 10
- Documentation Files: 5
- Total Files: 48+
- .github/ - GitHub-specific
- .github/workflows/ - CI/CD workflows
- .github/ISSUE_TEMPLATE/ - Issue templates
- .github/PULL_REQUEST_TEMPLATE/ - PR templates
- .gitlab/ - GitLab-specific
- .gitlab/issue_templates/ - GitLab issues
- .gitlab/merge_request_templates/ - GitLab MRs
- .githooks/ - Git hooks
- data/samples/ - Sample datasets
- data/test/ - Test data
- Python configs: 1000+ lines
- YAML workflows: 1500+ lines
- Documentation: 2000+ lines
- Data files: 1000+ lines
- Total: 5500+ lines
- ✅ Issue templates (bug + feature)
- ✅ Pull request template
- ✅ 6 GitHub Actions workflows
- ✅ Dependabot configuration
- ✅ Automatic releases
- ✅ GitHub Pages support
- ✅ Complete CI/CD pipeline
- ✅ Issue templates
- ✅ Merge request templates
- ✅ GitLab Pages support
- ✅ Docker registry
- ✅ Pre-commit hooks (10+ checks)
- ✅ Development environment (Docker Compose)
- ✅ Testing framework (pytest)
- ✅ Code quality tools (5+)
- ✅ Security scanning (3+)
- ✅ Monitoring stack (Prometheus + Grafana)
- Black formatting
- isort import sorting
- flake8 linting
- mypy type checking
- pylint analysis
- pytest framework
- Multi-version testing (3.9-3.12)
- Coverage reporting (80%+ target)
- Integration tests
- Performance tests
- Bandit scanning
- Safety checks
- CodeQL analysis
- SAST scanning
- Security policy
- GitHub Actions (6 workflows)
- GitLab CI (7 stages)
- Automated releases
- Scheduled maintenance
- Dependency updates
- Sphinx setup ready
- API documentation
- Contributing guide
- Security policy
- Project structure
- Prometheus metrics
- Grafana dashboards
- 8+ alert rules
- Health checks
- Performance metrics
# Linux/Mac
bash install.sh
# Windows
install.batmake install-dev # Install all dependencies
make test # Run tests
make lint # Check code quality
make format # Auto-format code
make security # Security checks
make all # Run all checksdocker-compose up -d # Start all services
docker-compose down # Stop all servicespre-commit install # Install hooks
pre-commit run --all-files # Run manually- Production Dockerfile
- Docker Compose for development
- Database configuration (PostgreSQL)
- Caching layer (Redis)
- Monitoring stack (Prometheus + Grafana)
- Environment configurations (dev/test/staging/prod)
- Automated release pipeline
- Health checks
- Alert rules
- Logging configuration
- Project README
- Contributing guidelines
- Code of conduct
- Security policy
- Changelog
- API documentation setup
- Deployment guide
- Development setup guide
- Docker guide
- CI/CD documentation
✅ Production Deployment
✅ Open Source Contribution
✅ Enterprise Integration
✅ Team Collaboration
✅ Continuous Improvement
✅ Automated Releases
✅ Monitoring & Alerting
✅ Security Auditing
-
Configure Secrets (GitHub/GitLab)
- PyPI token
- DockerHub credentials
- Database passwords
-
Enable Services
- Connect Codecov
- Setup SonarCloud
- Configure Sentry (optional)
-
Customize Content
- Update contact information
- Configure team members
- Adjust deployment settings
-
First Deployment
- Test locally with Docker
- Run workflows
- Verify all checks
- Documentation: See GIT_GITHUB_GITLAB_SETUP_SUMMARY.md
- Project Info: See PROJECT_INFO.json
- Metrics: See PROJECT_METRICS.json
- Contributing: See CONTRIBUTING.md
- Security: See SECURITY.md
Setup Date: December 28, 2025
Project: AIDomesticCoreAIJ v2.0.0
Status: ✅ COMPLETE & READY FOR USE