SIENTIAPDE-1231

Refactor memory management in MLFlowRepository to use `force_memory_release` function

- Replaced direct calls to `gc.collect()` with `force_memory_release()` for improved memory optimization after model deletion.
- This change enhances memory management during model operations, ensuring more efficient resource handling.

laborious/utils/repository/model_repository.py

@@ -36,13 +36,16 @@ TRANSFORMED_COMPRESSED_PATH = "artifacts/training_transformer.pkl"
 PREDICTION_COMPRESSED_PATH = "artifacts/stacking_model.pkl"
 
 
-def force_memory_release():
+def force_memory_release(logger: Logger, metadata: dict):
     gc.collect()
 
     try:
         ctypes.CDLL("libc.so.6").malloc_trim(0)
-    except:
+        logger.custom_info(
-        pass
+            f"Memory released", metadata)
+    except Exception as e:
+        logger.custom_info(
+            f"Memory release failed: {e}", metadata)
 
 
 class MLFlowRepository():
@@ -627,7 +630,7 @@ class MLFlowRepository():
                 f"Deleting model {model_name} from memory")
             del model
 
-        gc.collect()
+        force_memory_release()
 
         return prediction
 
@@ -656,7 +659,7 @@ class MLFlowRepository():
                 f"Deleting model {model_name} from memory")
             del model
 
-        gc.collect()
+        force_memory_release()
 
         return prediction