Upgrade the lr-robotagger to latest versions

[obelix74]

RoboTagger Changelog

Version 2.0.0 - 2024-07-11

🚀 Major Updates for Lightroom Classic 2024

Compatibility

• Updated Lightroom SDK: Upgraded from 5.0 to 13.0 (minimum 10.0)
• Lightroom Classic 2024: Full compatibility with latest Lightroom Classic
• Backward Compatibility: Still works with Lightroom Classic versions supporting SDK 10.0+

Google Vision API Updates

• OAuth2 Endpoint: Updated from deprecated /oauth2/v4/token to current /oauth2/token
• Enhanced Authentication: Improved error handling and user feedback
• API Stability: Better handling of authentication failures and retries

Performance Improvements

• Thumbnail Quality: Increased default thumbnail size from 1024x1024 to 1600x1600 for better AI analysis
• Concurrent Processing: Improved task management with better default limits (max 4 concurrent requests)
• Error Handling: More robust network error handling and user-friendly error messages

Developer Experience

• Build System: Enhanced Rakefile with source-only build option
• Documentation: Updated README with current Google Cloud setup instructions
• Version Management: Clear version tracking and compatibility information

User Experience

• Better Error Messages: More informative authentication and network error messages
• Progress Feedback: Enhanced progress reporting during photo analysis
• Configuration: Improved default settings for modern usage

🔧 Technical Changes

Files Updated

• src/Info.lua: SDK version bump and metadata updates
• src/GoogleVisionAPI.lua: OAuth2 endpoint update and error handling improvements
• src/RoboTaggerInit.lua: Enhanced defaults and version logging
• src/RoboTaggerMenuItem.lua: Improved error messages and user feedback
• src/RoboTaggerShutdown.lua: Version update
• README.md: Updated documentation and setup instructions
• Rakefile: Enhanced build system with source-only option

New Features

• Source-only build option for systems without Lua compiler
• Enhanced version checking and compatibility validation
• Improved authentication flow with better error reporting

📋 Migration Notes

For Users

• No action required - plugin will work with existing Google Cloud credentials
• May see improved authentication reliability
• Better error messages if setup issues occur

For Developers

• Use rake build_source for development without Lua compiler
• Use rake package_source to create distribution packages
• Updated SDK version requires Lightroom Classic 2020 or newer

🐛 Bug Fixes

• Fixed potential authentication token refresh issues
• Improved handling of network timeouts
• Better error recovery for failed API requests

📚 Documentation Updates

• Updated Google Cloud setup instructions with current URLs
• Added troubleshooting section for common authentication issues
• Enhanced developer setup instructions

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Version 1.1.0 - 2017

Initial Features

• Google Vision API integration for photo analysis
• Label and landmark detection
• Keyword application to Lightroom photos
• GPS coordinate extraction from landmarks
• Configurable confidence thresholds
• Parallel processing support

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Installation

1. Download dist/robotagger.zip
2. Extract to get robotagger.lrplugin folder
3. Install in Lightroom via File > Plug-in Manager > Add
4. Configure Google Cloud credentials in plugin settings

Requirements

• Adobe Lightroom Classic 2020 or newer (SDK 10.0+)
• Google Cloud Platform account with Vision API enabled
• OpenSSL (for JWT token signing)
• Internet connection for API requests

Support

For issues or questions:

• Check the updated README.md for setup instructions
• Verify Google Cloud credentials and API permissions
• Ensure OpenSSL is available in system PATH

[obelix74]

@tjotala if you choose to merge it, update it back to tjotala.