Pylint 3.3.6 updates [azure-ai-ml]

sdk/ml/azure-ai-ml/azure/ai/ml/_arm_deployments/arm_deployment_executor.py

@@ -120,7 +120,7 @@ def deploy_resource(
             else:
                 return poller
         except Exception as ex:
-            module_logger.debug("Polling hit the exception %s\n", ex)
+            module_logger.debug("Polling hit the exception: %s", type(ex).__name__)
             raise ex
 
         if error is not None:

sdk/ml/azure-ai-ml/azure/ai/ml/_azure_environments.py

@@ -298,12 +298,15 @@ def _get_clouds_by_metadata_url(metadata_url: str) -> Dict[str, Dict[str, str]]:
             return cli_cloud_dict
     except Exception as ex:  # pylint: disable=broad-except
         module_logger.warning(
-            "Error: Azure ML was unable to load cloud metadata from the url specified by %s. %s. "
+            "Error: Azure ML was unable to load cloud metadata from the metadata url."
             "This may be due to a misconfiguration of networking controls. Azure Machine Learning Python "
             "SDK requires outbound access to Azure Resource Manager. Please contact your networking team "
             "to configure outbound access to Azure Resource Manager on both Network Security Group and "
             "Firewall. For more details on required configurations, see "
-            "https://learn.microsoft.com/azure/machine-learning/how-to-access-azureml-behind-firewall.",
+            "https://learn.microsoft.com/azure/machine-learning/how-to-access-azureml-behind-firewall."
+        )
+        module_logger.debug(
+            "Metadata url: %s. %s",
             metadata_url,
             ex,
         )
@@ -330,7 +333,8 @@ def _convert_arm_to_cli(arm_cloud_metadata) -> Dict[str, Dict[str, str]]:
                 EndpointURLS.REGISTRY_DISCOVERY_ENDPOINT: registry_discovery_url,
             }
         except KeyError as ex:
-            module_logger.warning("Property on cloud not found in arm cloud metadata: %s", ex)
+            module_logger.warning("Property on cloud not found in arm cloud metadata")
+            module_logger.debug("%s", ex)
             continue
     return cli_cloud_metadata_dict
 

sdk/ml/azure-ai-ml/azure/ai/ml/_utils/_artifact_utils.py

@@ -239,7 +239,8 @@ def _download_artifacts(
             try:
                 self._redirect_artifacts_tool_path(organization)
             except Exception as e:  # pylint: disable=W0718
-                _logger.warning("Redirect artifacts tool path failed, details: %s", e)
+                _logger.warning("Redirect artifacts tool path failed")
+                _logger.debug("Details: %s", e)
 
             retries += 1
             result = subprocess.run(

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_job/job.py

@@ -334,12 +334,13 @@ def _from_rest_object(  # pylint: disable=too-many-return-statements
             raise ex
         except Exception as ex:
             error_message = json.dumps(obj.as_dict(), indent=2) if obj else None
-            module_logger.info(
+            module_logger.debug(
                 "Exception: %s.\n%s\nUnable to parse the job resource: %s.\n",
                 ex,
                 traceback.format_exc(),
                 error_message,
             )
+            module_logger.info("Failed to parse job resource")
             raise JobParsingError(
                 message=str(ex),
                 no_personal_data_message=f"Unable to parse a job resource of type:{type(obj).__name__}",

sdk/ml/azure-ai-ml/azure/ai/ml/operations/_component_operations.py

@@ -500,9 +500,11 @@ def _reset_version_if_no_change(self, component: Component, current_name: str, c
                 )
                 return component.version, component._to_rest_object()
         except ResourceNotFoundError as e:
-            logger.info("Failed to get component version, %s", e)
+            logger.info("Failed to get component version")
+            logger.debug("%s", e)
         except Exception as e:  # pylint: disable=W0718
-            logger.error("Failed to compare client_component_hash, %s", e)
+            logger.error("Failed to compare client_component_hash")
+            logger.debug("%s", e)
 
         return current_version, rest_component_resource
 

sdk/ml/azure-ai-ml/azure/ai/ml/operations/_workspace_operations_base.py

@@ -1133,7 +1133,8 @@ def resource(self) -> Any:
             # duration comes in format: "PT1M56.3454108S"
             module_logger.info("Total time : %s\n", from_iso_duration_format_min_sec(total_duration))
         except Exception as e:  # pylint: disable=W0718
-            module_logger.warning("Exception occurred while logging total duration: %s", e)
+            module_logger.warning("Exception occurred while logging total duration")
+            module_logger.debug("%s", e)
         return self.func()
 
     # pylint: disable=docstring-missing-param