- 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.
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
- Add download-related methods to baseModelApi.js for fetching versions, roots, folders, and downloading models
- Replace separate download managers with a unified DownloadManager.js supporting all model types
- Create a single download_modals.html template that adapts to model type (LoRA, checkpoint, etc.)
- Remove old download modals from lora_modals.html and checkpoint_modals.html
- Update apiConfig.js to include civitaiVersions endpoints for each model type
- Centralize event handler binding in DownloadManager.js (no more inline HTML handlers)
- Modal UI and logic now auto-adapt to the current model type, making future extension easier
- 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.
- Introduced ModelContextMenuMixin to encapsulate shared methods for Lora and Checkpoint context menus.
- Updated CheckpointContextMenu to utilize the mixin for common actions and NSFW level handling.
- Simplified LoraContextMenu by integrating the mixin, removing redundant methods.
- Removed duplicated NSFW handling logic and centralized it in the mixin.
- Adjusted import/export statements to reflect the new structure and ensure proper functionality.
- Implemented new API endpoints for re-linking models to CivitAI.
- Added context menu options for re-linking in both Lora and Checkpoint context menus.
- Created a modal for user confirmation and input for CivitAI model URL.
- Updated styles for the new modal and context menu items.
- Enhanced error handling and user feedback during the re-linking process.
- Implemented copy functionality for LoRA and Recipe syntax in context menus.
- Added options to send LoRA and Recipe to workflow in both append and replace modes.
- Updated HTML templates to include new context menu items for sending actions.
