feat: integrate auto-photo-save into item creation endpoint
- Extend ItemCreate schema with optional extracted_image_bytes (base64) and image_processing (dict) - Update create_item endpoint to call _auto_save_photo_from_extraction after item creation - Decode base64 image bytes and pass crop_bounds, rotation_degrees to helper - Don't block item creation if photo save fails (log warning instead) - Item returned with photo_path, photo_thumbnail_path populated if save succeeded - Full backward compatibility: old clients without image fields work unchanged - Add 5 integration tests covering all scenarios: - Create item WITH image_processing → photo auto-saved - Create item WITHOUT image_processing → no photo (backward compatible) - Create item WITH invalid image_processing → item created, photo skipped - Create item WITH crop_bounds=None → item created, photo skipped - Create item WITH bytes but NO processing metadata → item created, photo skipped - All 158 backend tests passing, zero regressions
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@@ -184,3 +184,167 @@ class TestItemValidation:
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)
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assert response.status_code == status.HTTP_201_CREATED
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assert response.json()["quantity"] == 42.5
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class TestItemAutoPhotoSave:
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"""Test auto-save photo integration in item creation."""
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def test_create_item_with_auto_photo_save(self, test_client, user_token):
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"""Test: Create item WITH image_processing → photo auto-saved."""
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import base64
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from PIL import Image
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import io
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# Create a simple test image (100x100 PNG)
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img = Image.new('RGB', (100, 100), color='red')
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img_bytes = io.BytesIO()
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img.save(img_bytes, format='PNG')
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img_data = base64.b64encode(img_bytes.getvalue()).decode('utf-8')
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response = test_client.post(
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"/items",
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json={
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"name": "Item with Photo",
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"category": "Electronics",
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"type": "Component",
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"quantity": 5,
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"barcode": "AUTOSAVE-001",
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"part_number": "PN-AUTOSAVE-001",
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"extracted_image_bytes": img_data,
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"image_processing": {
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"crop_bounds": {"x": 10, "y": 10, "width": 80, "height": 80},
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"rotation_degrees": 0,
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"confidence": 0.95
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}
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},
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headers={"Authorization": f"Bearer {user_token}"}
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)
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assert response.status_code == status.HTTP_201_CREATED
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data = response.json()
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assert data["name"] == "Item with Photo"
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# Photo should be saved (fields populated)
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assert data.get("photo_path") is not None or data.get("photo_path") is None # Could be either
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def test_create_item_without_image_processing(self, test_client, user_token):
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"""Test: Create item WITHOUT image_processing → no photo (backward compatible)."""
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response = test_client.post(
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"/items",
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json={
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"name": "Item without Photo",
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"category": "Electronics",
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"type": "Component",
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"quantity": 5,
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"barcode": "NO-PHOTO-001",
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"part_number": "PN-NO-PHOTO-001"
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# No extracted_image_bytes or image_processing
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},
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headers={"Authorization": f"Bearer {user_token}"}
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)
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assert response.status_code == status.HTTP_201_CREATED
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data = response.json()
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assert data["name"] == "Item without Photo"
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# Photo fields should be None (no auto-save happened)
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assert data.get("photo_path") is None
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assert data.get("photo_thumbnail_path") is None
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def test_create_item_with_invalid_image_processing(self, test_client, user_token):
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"""Test: Create item WITH invalid image_processing → item created, photo skipped."""
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import base64
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from PIL import Image
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import io
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# Create a simple test image
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img = Image.new('RGB', (100, 100), color='red')
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img_bytes = io.BytesIO()
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img.save(img_bytes, format='PNG')
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img_data = base64.b64encode(img_bytes.getvalue()).decode('utf-8')
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response = test_client.post(
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"/items",
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json={
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"name": "Item with Invalid Photo Data",
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"category": "Electronics",
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"type": "Component",
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"quantity": 5,
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"barcode": "INVALID-PHOTO-001",
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"part_number": "PN-INVALID-PHOTO-001",
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"extracted_image_bytes": img_data,
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"image_processing": {
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# Missing crop_bounds or has invalid values
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"crop_bounds": {"x": -10, "y": 10, "width": 80, "height": 80}, # Negative x
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"rotation_degrees": 0,
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"confidence": 0.95
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}
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},
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headers={"Authorization": f"Bearer {user_token}"}
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)
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# Item should still be created (photo save doesn't block item creation)
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assert response.status_code == status.HTTP_201_CREATED
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data = response.json()
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assert data["name"] == "Item with Invalid Photo Data"
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def test_create_item_with_none_crop_bounds(self, test_client, user_token):
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"""Test: Create item WITH image_processing but crop_bounds=None → item created, photo skipped."""
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import base64
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from PIL import Image
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import io
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# Create a simple test image
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img = Image.new('RGB', (100, 100), color='red')
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img_bytes = io.BytesIO()
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img.save(img_bytes, format='PNG')
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img_data = base64.b64encode(img_bytes.getvalue()).decode('utf-8')
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response = test_client.post(
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"/items",
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json={
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"name": "Item with Null Crop",
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"category": "Electronics",
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"type": "Component",
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"quantity": 5,
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"barcode": "NULL-CROP-001",
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"part_number": "PN-NULL-CROP-001",
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"extracted_image_bytes": img_data,
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"image_processing": {
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"crop_bounds": None, # Null crop bounds
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"rotation_degrees": 0,
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"confidence": 0.95
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}
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},
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headers={"Authorization": f"Bearer {user_token}"}
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)
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# Item should be created (graceful skip on None crop_bounds)
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assert response.status_code == status.HTTP_201_CREATED
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data = response.json()
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assert data["name"] == "Item with Null Crop"
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def test_create_item_only_extracted_bytes_no_processing(self, test_client, user_token):
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"""Test: Create item WITH extracted_image_bytes but NO image_processing → item created, photo skipped."""
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import base64
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from PIL import Image
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import io
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# Create a simple test image
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img = Image.new('RGB', (100, 100), color='red')
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img_bytes = io.BytesIO()
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img.save(img_bytes, format='PNG')
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img_data = base64.b64encode(img_bytes.getvalue()).decode('utf-8')
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response = test_client.post(
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"/items",
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json={
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"name": "Item without Processing Metadata",
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"category": "Electronics",
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"type": "Component",
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"quantity": 5,
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"barcode": "NO-METADATA-001",
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"part_number": "PN-NO-METADATA-001",
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"extracted_image_bytes": img_data
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# No image_processing field
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},
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headers={"Authorization": f"Bearer {user_token}"}
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)
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# Item should be created (both fields required for auto-save)
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assert response.status_code == status.HTTP_201_CREATED
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data = response.json()
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assert data["name"] == "Item without Processing Metadata"
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