- Create ImageProcessor service with EXIF orientation detection
- Implement smart cropping via OpenCV contour detection (10% padding)
- Add text orientation detection using Hough line transform
- Resize and compress images to 1200px with 85% JPEG quality
- Generate 200px square thumbnails with center crop
- Fallback to Pillow if OpenCV fails
- Comprehensive test suite: 28 tests all passing
- File size validation (reject >10MB)
- Graceful error handling for corrupted/invalid images
- Update requirements.txt with opencv-python, piexif, python-magic
The N+1 optimization in save_image() pre-lowercases the existing_files list
before passing to get_unique_filename(). However, this broke the API contract:
the function should handle any-case input to remain robust.
Changed: get_unique_filename() now defensively lowercases the input list,
ensuring collision detection works regardless of input case.
Benefits:
- Fixes implicit API contract change (function expected any-case input)
- Maintains N+1 optimization (pre-lowercasing still works)
- Supports both optimization and edge cases (direct function calls)
- All 22 tests pass
