Summary

This PR implements UV environment support for the Jupyter extension, enabling proper package installation in UV-managed Python environments using uv pip install instead of the default pip install.

Problem

When users work with UV-managed Python environments, the Jupyter extension would attempt to install packages using the standard pip install command, which doesn't work correctly in UV environments. UV requires using uv pip install <package> for proper dependency management and virtual environment isolation.

Solution

Added comprehensive UV environment support following the existing installer architecture patterns:

Core Changes

1. Environment Type Detection

   • Added UV to EnvironmentType enum
   • Enhanced environment detection logic to recognize UV environments
   • Added UV to the list of supported environment types

2. UV Installer Implementation

   • Created UvInstaller class extending ModuleInstaller
   • Implements proper uv pip install command generation
   • Supports all standard installation flags:
     • --upgrade for package upgrades
     • --force-reinstall for forced reinstallation
     • --upgrade-strategy eager for dependency updates
   • Includes proxy configuration support

3. Service Integration

   • Registered UV installer in the service container
   • Set appropriate priority level (10, same as Poetry/Pipenv)
   • Updated PipInstaller to exclude UV environments
   • Enhanced error handling with UV-specific messaging

Command Examples

# Basic installation
uv pip install numpy

# Upgrade package
uv pip install --upgrade pandas

# Force reinstall
uv pip install --force-reinstall scipy

# Update dependencies
uv pip install --upgrade-strategy eager matplotlib

# With proxy support
uv --proxy http://proxy:8080 pip install requests

Architecture Compliance

• ✅ Follows existing installer patterns (CondaInstaller, PipEnvInstaller, PoetryInstaller)
• ✅ Extends ModuleInstaller base class
• ✅ Uses dependency injection with proper service registration
• ✅ Integrates with installer priority system
• ✅ Maintains consistent error handling and user messaging

Testing

• Added comprehensive unit tests for UV installer functionality
• Validated command generation with various flag combinations
• Tested environment detection logic
• Verified integration with existing installer selection system

Files Changed

• src/platform/pythonEnvironments/info/index.ts - Added UV environment type
• src/platform/interpreter/installer/types.ts - Added UV installer type
• src/platform/interpreter/helpers.ts - Enhanced environment detection
• src/platform/interpreter/installer/uvInstaller.node.ts - New UV installer implementation
• src/platform/interpreter/installer/pipInstaller.node.ts - Exclude UV environments
• src/platform/interpreter/installer/channelManager.node.ts - UV error handling
• src/platform/interpreter/serviceRegistry.node.ts - Service registration
• src/platform/interpreter/installer/uvInstaller.unit.test.ts - New unit tests

Backward Compatibility

This change is fully backward compatible:

• No changes to existing installer behavior
• UV installer only activates for UV-detected environments
• Falls back gracefully if UV is not available
• No breaking changes to existing APIs

Future Considerations

• Ready for Python extension UV environment detection support
• Can be enhanced with additional UV detection heuristics (pyproject.toml parsing)
• Prepared for UV command evolution and new features

Fixes #16783

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