Fixed: Cron expression resetting on update monitor

Author: Keshav Chandak

src/sagemaker/model_monitor/dataset_format.py

@@ -71,8 +71,6 @@ def csv(header=True):
         Args:
             header (bool): Whether the csv dataset to baseline and monitor has a header.
                 Default: True.
-            output_columns_position (str): The position of the output columns.
-                Must be one of ("START", "END"). Default: "START".
 
         Returns:
             dict: JSON string containing DatasetFormat to be used by DefaultModelMonitor.

src/sagemaker/model_monitor/model_monitoring.py

@@ -2054,6 +2054,21 @@ def _update_data_quality_monitoring_schedule(
             self._update_monitoring_schedule(self.job_definition_name, schedule_cron_expression)
             return
 
+        existing_desc = self.sagemaker_session.describe_monitoring_schedule(
+            monitoring_schedule_name=self.monitoring_schedule_name
+        )
+
+        if (
+            existing_desc.get("MonitoringScheduleConfig") is not None
+            and existing_desc["MonitoringScheduleConfig"].get("ScheduleConfig") is not None
+            and existing_desc["MonitoringScheduleConfig"]["ScheduleConfig"]["ScheduleExpression"]
+            is not None
+            and schedule_cron_expression is None
+        ):
+            schedule_cron_expression = existing_desc["MonitoringScheduleConfig"]["ScheduleConfig"][
+                "ScheduleExpression"
+            ]
+
         # Need to update schedule with a new job definition
         job_desc = self.sagemaker_session.sagemaker_client.describe_data_quality_job_definition(
             JobDefinitionName=self.job_definition_name

tests/integ/test_model_monitor.py

@@ -802,6 +802,49 @@ def test_default_monitor_create_and_update_schedule_config_without_customization
     _wait_for_schedule_changes_to_apply(monitor=my_default_monitor)
 
 
+@pytest.mark.skipif(
+    tests.integ.test_region() in tests.integ.NO_MODEL_MONITORING_REGIONS,
+    reason="ModelMonitoring is not yet supported in this region.",
+)
+def test_default_monitor_create_and_simple_update_schedule_config(sagemaker_session, predictor):
+    my_default_monitor = DefaultModelMonitor(role=ROLE, sagemaker_session=sagemaker_session)
+
+    my_default_monitor.create_monitoring_schedule(
+        endpoint_input=predictor.endpoint_name,
+        schedule_cron_expression=CronExpressionGenerator.hourly(),
+    )
+
+    schedule_description = my_default_monitor.describe_schedule()
+    _verify_default_monitoring_schedule(
+        sagemaker_session=sagemaker_session,
+        schedule_description=schedule_description,
+        cron_expression=CronExpressionGenerator.hourly(),
+    )
+
+    _wait_for_schedule_changes_to_apply(my_default_monitor)
+
+    my_default_monitor.update_monitoring_schedule(
+        max_runtime_in_seconds=UPDATED_MAX_RUNTIME_IN_SECONDS
+    )
+
+    _wait_for_schedule_changes_to_apply(my_default_monitor)
+
+    schedule_description = my_default_monitor.describe_schedule()
+
+    _verify_default_monitoring_schedule(
+        sagemaker_session=sagemaker_session,
+        schedule_description=schedule_description,
+        cron_expression=CronExpressionGenerator.hourly(),
+        max_runtime_in_seconds=UPDATED_MAX_RUNTIME_IN_SECONDS,
+    )
+
+    _wait_for_schedule_changes_to_apply(monitor=my_default_monitor)
+
+    my_default_monitor.stop_monitoring_schedule()
+
+    _wait_for_schedule_changes_to_apply(monitor=my_default_monitor)
+
+
 @pytest.mark.skipif(
     tests.integ.test_region() in tests.integ.NO_MODEL_MONITORING_REGIONS,
     reason="ModelMonitoring is not yet supported in this region.",
@@ -1644,7 +1687,10 @@ def _verify_default_monitoring_schedule(
         schedule_description["MonitoringScheduleConfig"]["ScheduleConfig"]["ScheduleExpression"]
         == cron_expression
     )
-    assert schedule_description["MonitoringType"] == "DataQuality"
+    if schedule_description.get("MonitoringType") is not None:
+        assert schedule_description["MonitoringType"] == "DataQuality"
+    else:
+        assert schedule_description["MonitoringScheduleConfig"]["MonitoringType"] == "DataQuality"
     job_definition_name = schedule_description["MonitoringScheduleConfig"].get(
         "MonitoringJobDefinitionName"
     )

tests/unit/sagemaker/monitor/test_model_monitoring.py

@@ -65,7 +65,7 @@
 PROBLEM_TYPE = "Regression"
 GROUND_TRUTH_ATTRIBUTE = "TestAttribute"
 
-
+CRON_DAILY = CronExpressionGenerator.daily()
 BASELINING_JOB_NAME = "baselining-job"
 BASELINE_DATASET_PATH = "/my/local/path/baseline.csv"
 PREPROCESSOR_PATH = "/my/local/path/preprocessor.py"
@@ -84,7 +84,9 @@
 MONITORING_SCHEDULE_DESC = {
     "MonitoringScheduleArn": "arn:aws:monitoring-schedule",
     "MonitoringScheduleName": "my-monitoring-schedule",
+    "MonitoringScheduleStatus": "Completed",
     "MonitoringScheduleConfig": {
+        "ScheduleExpression": CRON_DAILY,
         "MonitoringJobDefinition": {
             "MonitoringOutputConfig": {},
             "MonitoringResources": {
@@ -101,7 +103,7 @@
                 ],
             },
             "RoleArn": ROLE,
-        }
+        },
     },
     "EndpointName": "my-endpoint",
 }
@@ -282,7 +284,6 @@
     security_group_ids=NEW_SECURITY_GROUP_IDS,
     subnets=NEW_SUBNETS,
 )
-CRON_DAILY = CronExpressionGenerator.daily()
 NEW_ENDPOINT_NAME = "new-endpoint"
 NEW_GROUND_TRUTH_S3_URI = "s3://bucket/monitoring_captured/groundtruth"
 NEW_START_TIME_OFFSET = "-PT2H"
@@ -858,6 +859,7 @@ def _test_data_quality_monitor_update_schedule(data_quality_monitor, sagemaker_s
     )
     sagemaker_session.sagemaker_client.create_data_quality_job_definition = Mock()
     sagemaker_session.expand_role = Mock(return_value=NEW_ROLE_ARN)
+    sagemaker_session.describe_monitoring_schedule = Mock(return_value=MONITORING_SCHEDULE_DESC)
     old_job_definition_name = data_quality_monitor.job_definition_name
     data_quality_monitor.update_monitoring_schedule(role=NEW_ROLE_ARN)
     expected_arguments = {