Update app/fastapi_server.py

app/fastapi_server.py

@@ -48,11 +48,11 @@ def setup_logging():
         
         # If successful, add file handler
         handlers.append(logging.FileHandler(log_file_path))
-        logger.info(f"Logging to file: {log_file_path}")
+        print(f"Logging to file: {log_file_path}")  # Use print instead of logger
         
     except (PermissionError, OSError) as e:
         # If file logging fails, just use console logging
-        logger.warning(f"Cannot create log file, using console only: {e}")
+        print(f"Cannot create log file, using console only: {e}")
         
         # Try alternative locations for file logging
         try:
@@ -60,9 +60,9 @@ def setup_logging():
             temp_log = tempfile.NamedTemporaryFile(mode='w', suffix='.log', delete=False, prefix='fastapi_')
             temp_log.close()
             handlers.append(logging.FileHandler(temp_log.name))
-            logger.info(f"Using temporary log file: {temp_log.name}")
+            print(f"Using temporary log file: {temp_log.name}")
         except Exception as temp_e:
-            logger.warning(f"Temporary file logging also failed: {temp_e}")
+            print(f"Temporary file logging also failed: {temp_e}")
     
     return handlers
 
@@ -629,31 +629,4 @@ async def get_metrics():
     """
     Get API metrics
 
-    - **returns**: Usage statistics and performance metrics
-    """
-    try:
-        # Calculate metrics from rate limiting storage
-        total_requests = sum(len(requests)
-                             for requests in rate_limit_storage.values())
-        unique_clients = len(rate_limit_storage)
-
-        metrics = {
-            "total_requests": total_requests,
-            "unique_clients": unique_clients,
-            "model_version": model_manager.model_metadata.get('model_version', 'unknown'),
-            "model_health": model_manager.health_status,
-            "last_health_check": model_manager.last_health_check.isoformat() if model_manager.last_health_check else None,
-            "timestamp": datetime.now().isoformat(),
-            "environment": path_manager.environment,
-            "available_datasets": path_manager.list_available_datasets(),
-            "available_models": path_manager.list_available_models()
-        }
-
-        return metrics
-
-    except Exception as e:
-        logger.error(f"Metrics retrieval failed: {e}")
-        raise HTTPException(
-            status_code=500,
-            detail=f"Metrics retrieval failed: {str(e)}"
-        )
+    - **returns**: Usage statistics and performance metrics