scikit-learn 1.9.0 supports only Python >=3.11, so uv could not resolve
the >=3.9 range. The deployment runs 3.11. Also pins numpy back to
1.26.4 in the lockfile (pandas 2.0.3 ABI).
- **Migration to uv package manager**: Replace pip/requirements with modern pyproject.toml
- Add pyproject.toml with complete dependency management
- Update all scripts and Makefile to use uv commands
- Maintain backward compatibility with existing workflows
- **PostgreSQL integration and migration tools**:
- Enhanced config.py with automatic password URL encoding
- Complete PostgreSQL setup scripts and documentation
- High-performance SQLite to PostgreSQL migration tool (91x speed improvement)
- Support for both connection strings and individual components
- **Executable distribution system**:
- PyInstaller integration for standalone .exe creation
- Automated build scripts with batch file generation
- Complete packaging system for end-user distribution
- **Enhanced data management**:
- Fix --fill-gaps command with proper method implementation
- Add gap detection and historical data backfill capabilities
- Implement data update functionality for existing records
- Add comprehensive database adapter methods
- **Developer experience improvements**:
- Password encoding tools for special characters
- Interactive setup wizards for PostgreSQL configuration
- Comprehensive documentation and migration guides
- Automated testing and validation tools
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
grabowski
