Add /transactions/import/image endpoint to extract transactions from images using AI

main.py

@@ -155,6 +155,100 @@ async def import_quickbooks_transactions_csv(file: UploadFile = File(...)):
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
 
+@app.post("/transactions/import/image", response_model=QuickBooksImportResponse)
+async def import_transactions_from_image(file: UploadFile = File(...)):
+    """
+    Import transactions from an image (bank statement, credit card statement, etc.) using AI extraction.
+    
+    This endpoint uses AI to extract transaction data from images like:
+    - Bank statements
+    - Credit card statements  
+    - Transaction lists
+    - Financial documents
+    """
+    try:
+        # Validate file type
+        allowed_types = ['jpg', 'jpeg', 'png', 'gif', 'bmp', 'pdf']
+        file_extension = file.filename.split('.')[-1].lower()
+        
+        if file_extension not in allowed_types:
+            raise HTTPException(status_code=400, detail=f"Unsupported file type. Allowed: {allowed_types}")
+        
+        # Read file content
+        file_content = await file.read()
+        
+        # Save file temporarily
+        file_path = await document_processor.save_uploaded_file(file_content, file.filename)
+        
+        # Use AI to extract transactions from the image
+        extraction_result = await document_processor.extract_transactions_from_image(file_path)
+        
+        if not extraction_result.get("extraction_success", False):
+            raise HTTPException(
+                status_code=400, 
+                detail=f"Failed to extract transactions from image: {extraction_result.get('error', 'Unknown error')}"
+            )
+        
+        # Parse extracted transactions
+        transactions = []
+        errors = []
+        
+        extracted_transactions = extraction_result.get("transactions", [])
+        
+        for idx, txn in enumerate(extracted_transactions):
+            try:
+                # Generate unique ID
+                txn_id = f"img_{file.filename}_{idx+1}"
+                
+                # Parse date
+                txn_date = txn.get("date", "")
+                if not txn_date:
+                    raise ValueError("No date found in transaction")
+                
+                # Parse amount
+                amount_str = str(txn.get("amount", "0"))
+                amount = float(amount_str.replace('$', '').replace(',', '').strip())
+                
+                # Get vendor/description
+                payee_name = txn.get("vendor", txn.get("description", "Unknown"))
+                
+                # Get memo/notes
+                memo = txn.get("memo", txn.get("notes", ""))
+                
+                transactions.append({
+                    "id": txn_id,
+                    "txn_date": txn_date,
+                    "amount": amount,
+                    "payee_name": payee_name,
+                    "memo": memo
+                })
+                
+            except Exception as e:
+                errors.append(f"Transaction {idx+1}: {str(e)}")
+        
+        if not transactions:
+            raise HTTPException(
+                status_code=400, 
+                detail="No valid transactions could be extracted from the image"
+            )
+        
+        # Store transactions globally for auto-matching
+        global stored_transactions
+        stored_transactions = transactions
+        
+        # Use the same logic as the JSON import endpoint
+        request_obj = QuickBooksImportRequest(transactions=transactions)
+        response = await import_quickbooks_transactions(request_obj)
+        
+        # Attach errors from image parsing
+        if hasattr(response, 'errors'):
+            response.errors.extend(errors)
+        
+        return response
+        
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
 # ============================================================================
 # RECEIPT PROCESSING ENDPOINTS
 # ============================================================================