- Changed user field from Optional[User] to required User type
- Ensures user object is always included in login response
- Pydantic now properly serializes the complete user object
- Frontend can now successfully retrieve response.user for localStorage
- Document single source of truth architecture
- Explain CSS variable auto-generation workflow
- Show how colors.mjs eliminates duplication
- Provide maintenance and build integration guide
- Reference commit e715afd8 refactoring
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Updated SESSION_STATE to reflect completion of design system audit and
implementation. CSS Tailwind conflicts resolved, all components updated,
frontend builds cleanly. Ready for visual testing phase.
- 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
Added user-controlled image adjustment modal that displays after item
confirmation, allowing users to adjust rotation/crop before final save.
Changes:
- AIOnboarding: wrapper confirmSingleItem to show modal post-selection
- State: showImageAdjustment, adjustingItemIndex, pendingItemData
- Handlers: confirm/cancel for applying or discarding adjustments
- Flow: item save → modal display → adjustments applied → DB commit
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Document AI non-determinism finding (critical discovery)
- Record ImageAdjustmentModal completion
- Detail integration checklist for next session
- Explain new user-controlled image adjustment workflow
- All commits and features documented for continuity
Documented the complete image pipeline feature:
- v1.14.1: Type system fix (photo_path fields)
- v1.14.2: Serialization fix (Blob to base64)
- v1.14.3: User control (image confirmation buttons)
Users now have full control over whether extracted photos are auto-saved
through the 'Use Photo' / 'Skip Photo' buttons in the editing form.
Documented the complete image pipeline bugfix:
- Part 1 (v1.14.1): Type system mismatch for photo_path fields
- Part 2 (v1.14.2): Blob serialization issue - image not reaching backend
The extracted image blob is now converted to base64 before sending to the API,
ensuring it's JSON-safe and matches the backend's ItemCreate schema.
Documented the image display issue, root cause (type system mismatch),
and the fix applied in v1.14.1. Images now correctly display from
the auto-photo-save feature in both ItemDetailModal and InventoryTable.
