Previous prompt only measured text baseline angle from horizontal (-45° to +45°),
missing that text can be vertical/sideways, requiring larger rotations (up to ±180°).
New guidance:
- Measure TOTAL rotation needed to make text horizontal and readable
- Account for both chassis tilt AND text orientation (horizontal vs vertical)
- Example: 22° tilt + 90° vertical text = 112° total rotation
- Allows full -180° to +180° range instead of limiting to ±45°
No changes to item identification fields, OCR rules, or crop bounds analysis.
Gemini analyzes raw image and returns crop_bounds for that coordinate space.
Previous code applied EXIF rotation first, changing image dimensions, then
used crop_bounds on the rotated image (coordinate mismatch).
Now: crop on raw image (matches AI) → then apply EXIF + manual rotation.
This ensures cropped region contains the actual item, not background.
- Cap normal rotation to -45 to +45 degrees (flags errors beyond)
- Add explicit warning about 60°+ being measurement error
- Clarify 'safe default' is 0 if uncertain
- Prevent Gemini from wild angle guesses (like 110°)
- Help AI self-correct measurement errors
- Add rotation_degrees parameter to ImageProcessor.process_photo()
- Pass rotation through _auto_save_photo_from_extraction() to processor
- Allow no-crop fallback when crop_bounds is None
- Add buildPhotoUrl() helper to resolve backend URLs correctly
- Update frontend components to use backend URL for image sources
- Replace Use/Skip Photo buttons with checkbox in AI extraction UI
- Add images/ to .gitignore to prevent accidental commits
Addresses: rotation never applied, image 404s (relative to Next.js not backend), preview blank in edit form
- Added 11 comprehensive tests for image_processing parsing
- Tests validate crop_bounds structure: {x, y, width, height} all ints >= 0
- Tests validate rotation_degrees: int/float, -360 to +360
- Tests validate confidence: float, 0.0 to 1.0
- Tests graceful handling when image_processing field is missing
- Tests multiple items with image_processing data
- Tests partial data handling (optional fields)
- Tests with both Gemini and Claude providers
- Updated extract_label_info() to preserve and validate image_processing field
- All tests passing, no regressions
- Add SIZE CONVERSION RULES section (critical) with explicit thresholds
- Convert ≥1600GB to TB format (e.g., 1600GB → 1.6TB)
- Convert memory ≥1024MB to GB format
- Update Item field examples with human-readable sizes
- Update Size field definition to emphasize HUMAN-READABLE format
- Update OCR key definition with size conversion examples
- Apply rules consistently across all size-related fields
This ensures AI-extracted items display sizes in user-friendly format
and improves OCR matching accuracy with normalized size representations.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
