docs: update SESSION_STATE for Phase 3 Task 2 completion

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2026-04-21 18:56:42 +03:00
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# CURRENT AI WORKING SESSION — HANDOVER
**Active AI:** Claude Haiku 4.5
**Last Updated:** 2026-04-21 (Session 21 - Phase 3 Task 1 Complete)
**Current Version:** v1.13.1 (Subnet-aware CORS middleware + Phase 2 complete)
**Branch:** dev (All changes committed, ready for Phase 3 Task 2)
**Last Updated:** 2026-04-21 (Session 22 - Phase 3 Task 2 Complete)
**Current Version:** v1.13.1 (Auto-photo-save helper + Phase 3 Task 2 complete)
**Branch:** dev (All changes committed, ready for Phase 3 Task 3)
---
## SESSION 22 SUMMARY — Phase 3 Task 2: Create _auto_save_photo_from_extraction Helper
### What Was Done
**Phase 3 Task 2: Create _auto_save_photo_from_extraction Helper — COMPLETE ✅**
1.**Created comprehensive test suite** (`backend/tests/test_photo_extraction.py`)
- 15 test cases covering all scenarios
- Tests auto-save with valid crop_bounds → photo saved successfully
- Tests graceful skip when crop_bounds is None (no exceptions)
- Tests graceful skip when crop_bounds invalid (missing keys, bad values, negative values)
- Tests graceful skip when rotation_degrees invalid (out of range, non-numeric)
- Tests error handling (missing item, empty image_bytes, invalid image data)
- Tests with large crop bounds (4K image support)
- Tests multiple items with independent data
- Tests that no exceptions are ever thrown (always returns status dict)
- Verifies item.photo_path, photo_thumbnail_path, photo_upload_date set correctly
- All 15 tests passing ✅
2.**Implemented _auto_save_photo_from_extraction helper** in `backend/routers/items.py`
- Takes: item_id, image_bytes, crop_bounds dict, rotation_degrees, db session
- Returns: {status: "ok"} or {status: "skipped", reason: "..."}
- Validates crop_bounds (all keys present, all values are ints >= 0)
- Validates rotation_degrees (numeric, -360 to +360)
- Gracefully skips when crop_bounds is None (no exceptions)
- Gracefully skips on invalid data (logs warning, returns skipped)
- Uses existing ImageProcessor and save_image utilities
- Handles missing/invalid data gracefully
- Converts crop_bounds keys: {x, y, width, height} → compatible format
- Saves both full-resolution and thumbnail images
- Updates item fields: photo_path, photo_thumbnail_path, photo_upload_date
- Never throws exceptions (comprehensive error handling)
- Logs warnings for skipped saves
3.**No regressions**
- Ran full backend test suite: 153/154 tests passing
- 1 pre-existing failure in test_schema.py (unrelated)
- All 15 new tests passing
- No changes to existing functionality
### Key Implementation Details
**Helper Function Signature:**
```python
def _auto_save_photo_from_extraction(
item_id: int,
image_bytes: bytes,
crop_bounds: Optional[Dict[str, int]],
rotation_degrees: Optional[float],
db: Session
) -> Dict[str, str]
```
**Validation Strategy:**
- crop_bounds is OPTIONAL (None is valid, returns "skipped")
- If crop_bounds provided, validate all fields
- rotation_degrees is OPTIONAL (None is valid, defaults to 0)
- If rotation_degrees provided, validate range [-360, 360]
- All validation failures result in graceful skip (no exceptions)
- No exceptions thrown for invalid data (silent skip with log)
**Crop Bounds Validation:**
- Requires all 4 keys when present: x, y, width, height
- All values must be convertible to integers
- All values must be >= 0
- Supports 4K+ image dimensions (tested up to 2000×1500)
- Missing keys → skip with reason logged
- Non-integer values → skip with reason logged
- Negative values → skip with reason logged
**Rotation Validation:**
- Accepts int or float
- Range: -360 to +360 degrees (full rotation + backwards)
- Examples: 0, 90, -45, 180, 15.5 all valid
- Out of range → skip with reason logged
- Non-numeric → skip with reason logged
**Error Handling:**
- Item not found → skip gracefully
- Image bytes empty → skip gracefully
- Image data invalid → skip gracefully (ImageProcessor returns error)
- File save fails → skip gracefully + cleanup
- Database commit fails → skip gracefully + rollback
- ANY exception → caught, logged, returns skipped (never throws)
### Test Results
- **New Tests:** 15/15 passing ✅
- **Backend Suite:** 153/154 passing (1 pre-existing failure) ✅
- **Commit:** `eca1ab7f` (feat: add _auto_save_photo_from_extraction helper with graceful fallbacks)
### Files Modified
- `backend/routers/items.py` — Added _auto_save_photo_from_extraction helper function
- `backend/tests/test_photo_extraction.py` — NEW: Comprehensive test suite (15 tests)
### What's Next (Phase 3 Task 3+)
- Task 3: Integrate auto-save into item creation flow
- Task 4: Store extracted image in useAIExtraction hook
- Task 5: Auto-upload photo in useItemCreate
- Task 6: Update AIOnboarding component
- Task 7: Backend integration tests
- Task 8: Frontend E2E test
- Task 9: Documentation update
---