SIENTIAPDE-1646

Enhance MLFlow reference data handling and testing

- Updated the artifact handling in MLFlow to prioritize 'retrain_input.csv' over 'train_data.csv' when resolving reference data.
- Introduced new methods for resolving artifact names and locating downloaded CSV files.
- Modified the `get_reference_data` method to improve artifact resolution and error handling.
- Expanded unit tests to cover scenarios for missing artifacts and preference logic between retrain and train data CSVs.

laborious/worker/worker.py

@@ -147,9 +147,13 @@ async def main():
         to_install_runtime = runtime
 
     try:
-        await plugin_store.install_runtime(runtime_name=to_install_runtime, metadata=metadata_runtime)
+        await plugin_store.install_runtime(
+            runtime_name=to_install_runtime, metadata=metadata_runtime
+        )
     except Exception as exc:
-        logger.custom_critical(f'Failed to install runtime {to_install_runtime}: {exc}', metadata_runtime)
+        logger.custom_critical(
+            f'Failed to install runtime {to_install_runtime}: {exc}', metadata_runtime
+        )
         metrics.APP_UP.labels(pod_id=POD_ID).set(0)
         sys.exit(1)