lint con ruff

src/load_orchestrator.py

@@ -4,14 +4,14 @@ Orchestratore dei worker che caricano i dati su dataraw
 """
 
 # Import necessary libraries
-import logging
-import importlib
 import asyncio
+import importlib
+import logging
 
 # Import custom modules for configuration and database connection
 from utils.config import loader_load_data as setting
-from utils.database import WorkflowFlags
 from utils.csv.loaders import get_next_csv_atomic
+from utils.database import WorkflowFlags
 from utils.orchestrator_utils import run_orchestrator, worker_context
 
 # Initialize the logger for this module
@@ -58,7 +58,7 @@ async def worker(worker_id: int, cfg: dict, pool: object) -> None:
                 logger.info("Nessun record disponibile")
                 await asyncio.sleep(NO_RECORD_SLEEP)
 
-        except Exception as e: # pylint: disable=broad-except
+        except Exception as e:  # pylint: disable=broad-except
             logger.error("Errore durante l'esecuzione: %s", e, exc_info=1)
             await asyncio.sleep(1)
 
@@ -79,9 +79,7 @@ async def load_csv(record: tuple, cfg: object, pool: object) -> bool:
     debug_mode = logging.getLogger().getEffectiveLevel() == logging.DEBUG
     logger.debug("Inizio ricerca nuovo CSV da elaborare")
 
-    rec_id, unit_type, tool_type, unit_name, tool_name = [
-        x.lower().replace(" ", "_") if isinstance(x, str) else x for x in record
-    ]
+    rec_id, unit_type, tool_type, unit_name, tool_name = [x.lower().replace(" ", "_") if isinstance(x, str) else x for x in record]
     logger.info(
         "Trovato CSV da elaborare: ID=%s, Tipo=%s_%s, Nome=%s_%s",
         rec_id,
@@ -118,7 +116,7 @@ async def load_csv(record: tuple, cfg: object, pool: object) -> bool:
         return False
 
     # Ottiene la funzione 'main_loader' dal modulo
-    funzione = getattr(modulo, "main_loader")
+    funzione = modulo.main_loader
 
     # Esegui la funzione
     logger.info("Elaborazione con modulo %s per ID=%s", modulo, rec_id)