fix: lazy import GANVGTLNetService and NumbaVGTLNetPreprocessor to avoid module-level torch import

src/domain/interfaces/services/vgtlnet_preprocessor.py

@@ -8,7 +8,9 @@ from __future__ import annotations
 
 from abc import ABC, abstractmethod
 import numpy as np
-import torch
+from typing import TYPE_CHECKING
+if TYPE_CHECKING:
+    import torch
 
 class VGTLNetSignalPreprocessor(ABC):
     """

src/interface/api/dependencies.py

@@ -33,11 +33,9 @@ from src.infrastructure.database.repositories.prediction_repository import (
     SQLAlchemyPredictionRepository,
 )
 from src.infrastructure.messaging.rabbitmq_broker import RabbitMQBroker
-from src.infrastructure.model.gan_vgtlnet_service import GANVGTLNetService
 from src.infrastructure.model.mock_model_service import MockModelService
 from src.infrastructure.processing.scipy_signal_processor import ScipySignalProcessor
 from src.infrastructure.processing.scipy_cardiogan_preprocessor import SciPyCardioGANPreprocessor
-from src.infrastructure.processing.numba_vgtlnet_preprocessor import NumbaVGTLNetPreprocessor
 from src.shared.config import get_settings
 from src.shared.logger import get_logger
 
@@ -77,6 +75,9 @@ def get_model_service() -> ModelService:
         return MockModelService()
     else:
         logger.info("ModelService: using GANVGTLNetService (USE_MOCK_MODEL=false)")
+        from src.infrastructure.model.gan_vgtlnet_service import GANVGTLNetService
+        from src.infrastructure.processing.numba_vgtlnet_preprocessor import NumbaVGTLNetPreprocessor
+        
         gan_prep = SciPyCardioGANPreprocessor()
         vgtl_prep = NumbaVGTLNetPreprocessor()
         return GANVGTLNetService(gan_preprocessor=gan_prep, vgtlnet_preprocessor=vgtl_prep)