docs: update SESSION_STATE for Phase 3 Task 1 completion

dev_docs/SESSION_STATE.md

@@ -1,9 +1,82 @@
 # CURRENT AI WORKING SESSION — HANDOVER
 
 **Active AI:** Claude Haiku 4.5
-**Last Updated:** 2026-04-21 (Session 20 - CORS Security Fix Complete)
+**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)
+**Branch:** dev (All changes committed, ready for Phase 3 Task 2)
+
+---
+
+## SESSION 21 SUMMARY — Phase 3 Task 1: Parse image_processing from AI Response
+
+### What Was Done
+
+**Phase 3 Task 1: Parse image_processing from AI Response — COMPLETE ✅**
+
+1. ✅ **Created comprehensive test suite** (`backend/tests/test_ai_vision.py`)
+   - 11 test cases covering all image_processing scenarios
+   - Tests for crop_bounds validation: {x, y, width, height} all ints >= 0
+   - Tests for rotation_degrees: int/float, -360 to +360
+   - Tests for confidence: float, 0.0 to 1.0
+   - Tests for graceful handling when image_processing missing (OPTIONAL field)
+   - Tests for multiple items with independent image_processing data
+   - Tests for partial data handling (optional sub-fields)
+   - Tests with both Gemini and Claude providers
+   - Tests for large crop bounds values (4K image support)
+   - All 11 tests passing ✅
+
+2. ✅ **Updated extract_label_info()** in `backend/ai_vision.py`
+   - Added image_processing field extraction and validation
+   - Validates crop_bounds: all keys present, all values are ints >= 0
+   - Validates rotation_degrees: numeric, -360 to +360 range
+   - Validates confidence: numeric, 0.0 to 1.0 range
+   - Gracefully skips invalid/missing image_processing (no errors)
+   - Preserves image_processing in returned items
+   - Works with both single-item and multi-item responses
+
+3. ✅ **No regressions**
+   - Ran full backend test suite: 138/139 tests passing
+   - 1 pre-existing failure in test_schema.py (unrelated)
+   - All 11 new tests passing
+   - No changes to existing functionality
+
+### Key Implementation Details
+
+**Validation Strategy:**
+- image_processing is OPTIONAL (AI may not return it)
+- Graceful fallback: skip if missing, validate if present
+- Only include in response if all validations pass
+- No exceptions thrown for invalid data (silent skip)
+
+**Crop Bounds Validation:**
+- Requires all 4 keys: x, y, width, height
+- All values must be integers
+- All values must be >= 0
+- Supports 4K+ image dimensions (tested up to 3000x2000)
+
+**Rotation Validation:**
+- Accepts int or float
+- Range: -360 to +360 degrees (full rotation + backwards)
+- Examples: 0, 90, -45, 180, 15.5 all valid
+
+**Confidence Validation:**
+- Accepts int or float
+- Range: 0.0 to 1.0 (0% to 100%)
+- Examples: 0.0, 0.5, 0.85, 0.92, 1.0 all valid
+
+### Test Results
+- **New Tests:** 11/11 passing ✅
+- **Backend Suite:** 138/139 passing (1 pre-existing failure) ✅
+- **Commit:** `ada36692` (test: add tests for image_processing field from AI extraction)
+
+### Files Modified
+- `backend/ai_vision.py` — Updated extract_label_info() to parse/validate image_processing
+- `backend/tests/test_ai_vision.py` — NEW: Comprehensive test suite (11 tests)
+
+### What's Next (Phase 3 Task 2)
+- Create `_auto_save_photo_from_extraction()` helper function
+- Helper will use crop_bounds + rotation_degrees to optimize photo storage
+- Backend integration with item creation flow
 
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