Add duplicate detection to banner recording to prevent multiple entries
for the same banner ID in recent history. This prevents duplicate history
entries when pages refresh or banners are shown multiple times.
- Check if banner ID already exists in recentHistory before adding
- Return early if duplicate found to prevent adding same banner multiple times
- Add comprehensive tests for banner history functionality including:
- Adding new banners to history
- Preventing duplicate entries
- Handling multiple different banners
- Clear history between tests to ensure test isolation
- Remove legacy community support banner tracking variables and logic
- Simplify banner dismissal handling by checking dismissal state before marking
- Replace timer-based community support banner with immediate registration
- Clean up unused constants and legacy storage keys
- Add comprehensive test suite with mocked dependencies
- Improve code maintainability and test coverage
- Implement core LoRA syntax manipulation functions including:
- applyLoraValuesToText for updating LoRA strengths and clip values
- normalizeStrengthValue for consistent numeric formatting
- shouldIncludeClipStrength for clip strength inclusion logic
- cleanupLoraSyntax for text normalization
- debounce utility for input handling
- Add comprehensive test suite covering all utility functions
- Include edge cases for clip strength handling, numeric formatting, and syntax cleanup
- Support both basic and expanded LoRA syntax formats with proper value preservation
- Enable debounced input synchronization for better performance
The utilities provide robust handling of LoRA syntax patterns while maintaining compatibility with existing ComfyUI workflows.
- Pass modelType parameter to setupTagEditMode function
- Implement model type aware priority tag suggestions
- Add model type normalization and resolution logic
- Handle suggestion state reset when model type changes
- Maintain backward compatibility with existing functionality
The changes enable context-aware tag suggestions based on model type, improving tag relevance and user experience when editing tags for different model types.
