Refactor focus navigation logic in LoRA widget to separate focus queueing from execution. Added helper functions for finding focus entries and managing focus queue. This improves code organization and prevents focus issues when tabbing between strength and clip inputs.
Key changes:
- Extract focus navigation logic into reusable functions
- Separate focus queueing from focus execution
- Maintain same keyboard navigation behavior while improving code structure
- Fix potential focus loss when tabbing between inputs
The refactoring makes the focus navigation code more maintainable and reduces duplication while preserving the existing tab navigation functionality.
Add pendingFocusTarget state to track which LoRA strength input is being interacted with. This ensures proper focus behavior when clicking on strength inputs, particularly when the widget is being re-rendered. The focus is now properly restored to the correct input after UI updates.
- Updated all relevant routes in `stats_routes.py` and `update_routes.py` to include the new '/api/lm/' prefix for consistency.
- Modified API endpoint configurations in `apiConfig.js` to reflect the new structure, ensuring all CRUD and bulk operations are correctly routed.
- Adjusted fetch calls in various components and managers to utilize the updated API paths, including recipe, model, and example image operations.
- Ensured all instances of the old API paths were replaced with the new '/api/lm/' prefix across the codebase for uniformity and to prevent broken links.
- Deleted the legacy tags widget implementation from legacy_tags_widget.js.
- Updated trigger_word_toggle.js to directly import the new tags widget.
- Removed unused dynamic import functions and version checks from utils.js.
- Cleaned up lora_loader.js and lora_stacker.js by removing redundant node registration code.
- Added AutoComplete class to handle input suggestions based on user input.
- Integrated TextAreaCaretHelper for accurate positioning of the dropdown.
- Enhanced dropdown styling with a new color scheme and custom scrollbar.
- Implemented dynamic loading of preview tooltips for selected items.
- Added keyboard navigation support for dropdown items.
- Included functionality to insert selected items into the input field with usage tips.
- Created a separate TextAreaCaretHelper module for managing caret position calculations.
- Implemented the WanVideo Lora Select node in Python with input handling for low memory loading and LORA syntax processing.
- Updated the JavaScript side to register the new node and manage its widget interactions.
- Enhanced constants files to include the new node type and its corresponding ID.
- Modified existing Lora Loader and Stacker references to accommodate the new node in various workflows and UI components.
- Added example workflow JSON for the new node to demonstrate its usage.
