QTZPOC-20

QTZPOC-20: Enable code_paths for sklearn models; improve worker shutdown handling

The MLFlowRepository now resolves and forwards code_paths to mlflow.sklearn.log_model, ensuring custom code dependencies for sklearn models are preserved and correctly reloaded. A new integration test validates this end-to-end functionality. Additionally, worker exception handling is refined to distinguish between deliberate shutdowns (SystemExit, KeyboardInterrupt) and unhandled exceptions, preventing unnecessary error logging for expected exits.

laborious/worker/worker.py

@@ -305,7 +305,14 @@ async def main():
         # This will run the workers and wait for them to complete.
         # If an exception occurs in any of the worker handlers, it will be propagated here.
         await asyncio.gather(*handlers)
-    except BaseException as e:
+    except (SystemExit, KeyboardInterrupt) as e:
+        # Deliberate shutdown (Ctrl+C, a handler's own sys.exit) — not a failure to log as one.
+        # `finally` below calls sys.exit(exit_code) unconditionally, which supersedes this raise
+        # and becomes the exception that actually propagates — the raise is here so this branch
+        # still honors the reraise-on-SystemExit contract, not because it changes what exits.
+        exit_code = e.code if isinstance(e, SystemExit) and isinstance(e.code, int) else 0
+        raise
+    except Exception as e:
         logger.custom_error(f'An unhandled exception occurred: {e}', metadata)
         exit_code = 1
     finally: