- 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.
- Enhanced EventManager class to support priority-based event handling, conditional execution, and automatic cleanup.
- Integrated event management into BulkManager for global keyboard shortcuts and marquee selection events.
- Migrated mouse tracking and node selector events to UIHelpers for better coordination.
- Established global event handlers for context menu interactions and modal state management.
- Added comprehensive documentation for event management implementation and usage.
- Implemented initialization logic for event management, including error handling and cleanup on page unload.
- Replaced `safeTranslate` with `translate` in various components for consistent translation handling.
- Updated Chinese (Simplified and Traditional) localization files to include new keys and improved translations for model card actions, metadata, and usage tips.
- Enhanced the ModelCard, ModelDescription, ModelMetadata, ModelModal, and ModelTags components to utilize the new translation functions.
- Improved user feedback messages for actions like copying to clipboard, saving notes, and updating tags with localized strings.
- Ensured all UI elements reflect the correct translations based on the user's language preference.
refactor: consolidate model API client creation into a factory function for better maintainability
feat: implement move operations for LoRAs and handle unsupported operations for Checkpoints and Embeddings
- Introduced MODEL_TYPES and MODEL_CONFIG for centralized model type management.
- Created a unified API client for checkpoints and loras to streamline operations.
- Updated all API calls in checkpointApi.js and loraApi.js to use the new client.
- Simplified context menus and model card operations to leverage the unified API client.
- Enhanced state management to accommodate new model types and their configurations.
- Added virtual scrolling functions for recipes and improved loading states.
- Refactored modal utilities to handle model exclusion and deletion generically.
- Improved error handling and user feedback across various operations.
- Added PresetTags.js to handle LoRA model preset parameter tags.
- Introduced RecipeTab.js for managing recipes associated with LoRA models.
- Created TriggerWords.js to manage trigger word functionality for LoRA models.
- Implemented utility functions in utils.js for general model modal operations.
