tasks.md 4.16 KB

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1. Setup and Preparation


 1.1 Create backup of current image_generator.py file

 1.2 Review existing image upload methods and data structures

 1.3 Define constants for supported image formats and size limits

 1.4 Plan testing strategy for different input methods


2. Implement Drag-and-Drop Support


 2.1 Enable drag-and-drop on image preview scroll area (setAcceptDrops(True))

 2.2 Implement dragEnterEvent to validate drag content and accept image files

 2.3 Implement dragMoveEvent to provide visual feedback during drag operations

 2.4 Implement dropEvent to handle dropped image files

 2.5 Add visual feedback (border highlighting, cursor changes) for drag operations

 2.6 Create helper method to process dropped file paths


3. Implement Clipboard Paste Support


 3.1 Add keyboard shortcut handling for Ctrl+V/Cmd+V in image area

 3.2 Implement clipboard image detection using QApplication.clipboard()


 3.3 Create method to handle clipboard image data

 3.4 Implement temporary file creation for clipboard images

 3.5 Add paste menu option to existing context menu (if exists)

 3.6 Handle both image data and image file paths in clipboard


4. Enhance Image Validation


 4.1 Create unified image validation method for all input sources

 4.2 Implement MIME type checking using QMimeDatabase


 4.3 Add file header validation for image format verification

 4.4 Implement size limits and error handling

 4.5 Create user-friendly error messages for different validation failures

 4.6 Add logging for debugging image processing issues


5. Integrate with Existing Upload System


 5.1 Modify upload_images() method to handle multiple input sources

 5.2 Create add_image_files() method to process file paths from any source

 5.3 Create add_clipboard_image() method for temporary clipboard images

 5.4 Ensure update_image_preview() works with all input methods

 5.5 Update image count and status display for all operations

 5.6 Test that existing delete functionality works with all image sources


6. User Interface Enhancements


 6.1 Add visual feedback styles for drag-over state (border highlighting)

 6.2 Add success/error notifications for drag-and-drop operations

 6.3 Add paste instructions to the image area UI

 6.4 Update tooltips to mention drag-and-drop and paste capabilities

 6.5 Add loading indicators for large image processing operations

 6.6 Ensure accessibility compliance for new interactions


7. Error Handling and Edge Cases


 7.1 Handle duplicate image detection and user confirmation

 7.2 Handle large image files with size warnings

 7.3 Handle corrupted or invalid image files gracefully

 7.4 Handle clipboard empty states with helpful messages

 7.5 Implement proper cleanup of temporary files from clipboard

 7.6 Add error recovery for interrupted operations


8. Testing and Validation


 8.1 Test drag-and-drop from Windows Explorer/Finder

 8.2 Test drag-and-drop from web browsers

 8.3 Test paste functionality with screenshots (PrtScn, Snipping Tool)

 8.4 Test paste with copied images from web browsers and image viewers

 8.5 Test with various image formats (PNG, JPG, GIF, BMP)

 8.6 Test with invalid files and error conditions

 8.7 Test concurrent operations and rapid successive additions

 8.8 Test on different platforms (Windows, macOS, Linux if supported)


9. Documentation Updates


 9.1 Update user guide with new drag-and-drop and paste instructions

 9.2 Add troubleshooting section for new functionality

 9.3 Update keyboard shortcuts documentation

 9.4 Add examples of different usage workflows

 9.5 Document supported file formats and limitations


10. Performance and Optimization


 10.1 Optimize thumbnail generation for rapid successive additions

 10.2 Implement memory management for large clipboard images

 10.3 Add lazy loading for preview updates if needed

 10.4 Profile performance with multiple images and optimize bottlenecks

 10.5 Ensure UI remains responsive during image processing