- Mark Phase 5 complete in ROADMAP
- Update scope: Quick Quantity Adjustment replaces Batch Operations
- All 3 plans delivered: 18 tasks, 23+ test cases
- Update STATE.md with execution summary and next steps
- Created 5-PLAN-01-SUMMARY.md with full implementation report
- Updated SESSION_STATE.md with Session 38 completion details
- Phase 5 Plan 01 status: COMPLETED (5/5 tasks, all tests written)
- Ready for inventory page integration and Phase 5 Plan 02 execution
- AI Prompt: Detailed categorization to distinguish spare parts from consumables
- Search: Web scraping (requests + BeautifulSoup) to extract Google results, no API key
- Trigger: Automatic background search after AI extraction if category matches whitelist
- UX: Block until search completes, user reviews and edits all fields before save
- Mapping: Extract product type/specs/manufacturer/description to Notes field
- Retry on failure, user can skip if needed
Removed the rotation/zoom adjustment modal feature. Approach was too complex and
time-consuming without delivering stable results.
New simplified flow:
1. User extracts item with AI
2. Item saved with original image (resized/compressed by backend)
3. No rotation adjustments in frontend
4. Image editing can be implemented as a future feature
This unblocks the workflow and gets users to a working state.
Backend still applies compression/resizing, just no rotation processing.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Root cause: Image was being rotated TWICE:
1. Frontend rotated it in the modal and sent processed blob
2. Backend rotated it AGAIN based on rotation_degrees
This double rotation made the image appear unrotated or distorted.
Solution: Remove frontend image processing entirely.
- Modal now sends ONLY the rotation value
- No imageBlob from modal (uses original)
- Backend receives original image + rotation value
- Backend applies rotation ONCE
Now image is rotated correctly by backend without duplication.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
When rotating images, the rotated corners extend beyond the original canvas
bounds, causing the image to be clipped and appear skewed.
Fixed by:
1. Calculate canvas size needed to fit rotated image
2. Use formula: newSize = sqrt((w*cos)^2 + (h*sin)^2)
3. Center image and rotate around center of new canvas
4. Update cropBounds to new canvas dimensions
Now when user rotates an image, the full rotated result is saved without
any clipping or skewing. The saved image dimensions will be larger than
the original to accommodate the rotation.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Cropping UI was a placeholder and never fully implemented. Users couldn't
actually select a crop region - it always used full image bounds.
Simplified modal to focus on what works:
- Rotation adjustment ✅ (fully working)
- Zoom/pan for preview ✅ (fully working)
- Removed aspect ratio controls (crop not functional)
- Changed header to "Rotate Image"
Image processing now:
1. Takes user's rotation adjustment
2. Applies rotation to full image
3. No cropping (uses full bounds)
4. Saves rotated image
This ensures saved image matches the rotation user selected in modal.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Root cause found: setState is async, so hookConfirmSingleItem was called
before extractedItems updated, causing it to use OLD image_processing values.
Fixed by:
1. Building the final newItem directly in handleImageAdjustmentConfirm
2. Using the UPDATED image_processing values (with user adjustments)
3. Calling onComplete synchronously with correct values
4. Not relying on async setState ordering
This ensures backend receives the user-adjusted crop_bounds and rotation_degrees,
not the original AI-detected values.
Backend logs will now show user adjustments, not original AI values.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Added detailed console logging across entire image adjustment pipeline:
1. ImageAdjustmentModal.handleConfirm():
- Original image dimensions
- User inputs (rotation, zoom, pan, crop)
- Canvas processing steps
- Final blob size
2. AIOnboarding.handleImageAdjustmentConfirm():
- Adjustments received from modal
- Item being updated
- extractedImageBlob status before/after
3. useAIExtraction.confirmSingleItem():
- newItem being built
- extractedImageBlob attached
- imageProcessing attached
This will help identify where values are lost or incorrect in the flow.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Critical fix: modal processes image and returns blob, but AIOnboarding
was not actually using that blob. Now properly calls setExtractedImageBlob()
so confirmSingleItem sends the processed image to backend.
Before: Backend received original image, applied original AI crop/rotation
After: Backend receives processed image (already cropped/rotated by user)
Now the saved image matches exactly what user sees after adjusting.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
