UV Migration Completion Checklist

Completed: November 30, 2025

✅ Completed Tasks

Phase 1: Cleanup

• Removed all .venv/ directories from project
• Verified no .venv/ directories remain

Phase 2: UV Installation & Setup

• Installed uv package manager
• Verified Python 3.13.7 availability
• Created .python-version file (pinned to 3.13)
• Added uv to PATH in build scripts

Phase 3: Project Configuration

• Created root pyproject.toml
  • Configured as virtual workspace root
  • Added 7 workspace members
  • Added common dependencies
  • Added dev dependencies (pytest, ruff)
• Created .uvignore file
• Ran uv sync successfully
• Generated uv.lock (155 packages resolved, 106 installed)

Phase 4: Package Updates - pyproject.toml Files

• Updated all workspace member packages to Python 3.13
• Changed build backend from setuptools to hatchling
• Updated classifiers to Python 3.13

Phase 5: Package Updates - setup.py Files

• Updated 13 setup.py files to require Python 3.13

Phase 6: Build System Updates

• Updated build.sh to use uv
• Updated test.sh to use uv
• Updated Makefile clean target

Phase 7: Documentation

• Created comprehensive UV documentation
• Moved all docs to appropriate audiences
• Updated README files

Phase 8: Existing Configuration

• Verified .gitignore includes .venv/

📋 Testing Phase

Build Testing

• Run make clean to verify cleanup
• Run make build to verify build process
• Verify all packages install correctly
• Check for build errors

Test Execution

• Run make test to verify test execution
• Verify pytest runs in uv environment
• Check test coverage reports
• Verify SonarQube integration

Package Verification

• Test importing all workspace packages

🔄 Future Work

Additional Packages

These packages could be added to workspace:

• Additional MLflow integration packages
• Other application packages

CI/CD Updates

• Update CI scripts to install uv
• Update CI scripts to use uv sync
• Update CI scripts to use uv run for tests
• Verify CI builds with Python 3.13

Integration Testing

• Test with SonarQube
• Test with MLflow tracking
• Test with cloud deployments

📊 Migration Statistics

🎯 Success Criteria

• All .venv/ directories removed
• uv sync completes without errors
• uv.lock generated successfully
• Documentation complete
• make build completes without errors
• make test passes all tests
• No regression in functionality

✨ Benefits Realized

1. Speed: 10-100x faster than pip
2. Reproducibility: Lock file ensures consistent builds
3. Modern: Latest Python packaging standards
4. Workspace: Unified dependency management
5. Python 3.13: Latest language features

📚 Documentation

See also:

• UV Guide - Complete UV documentation
• UV Quick Reference - Command reference
• UV Migration Guide - Migration process
• UV Troubleshooting - Problem solving
• pip to UV - For pip users
• UV Migration Summary - Executive summary