Fix: Fix job_objective type

Author: martinRenou

src/sagemaker/automl/automl.py

@@ -332,7 +332,7 @@ def attach(cls, auto_ml_job_name, sagemaker_session=None):
             total_job_runtime_in_seconds=auto_ml_job_desc.get("AutoMLJobConfig", {})
             .get("CompletionCriteria", {})
             .get("MaxAutoMLJobRuntimeInSeconds"),
-            job_objective=auto_ml_job_desc.get("AutoMLJobObjective", {}).get("MetricName"),
+            job_objective=auto_ml_job_desc.get("AutoMLJobObjective", {}),
             generate_candidate_definitions_only=auto_ml_job_desc.get(
                 "GenerateCandidateDefinitionsOnly", False
             ),

tests/unit/sagemaker/workflow/test_automl_step.py

@@ -41,7 +41,7 @@ def test_single_automl_step(pipeline_session):
         max_candidates=1,
         max_runtime_per_training_job_in_seconds=3600,
         total_job_runtime_in_seconds=36000,
-        job_objective="fake job objective",
+        job_objective={},
         generate_candidate_definitions_only=False,
         tags=[{"Name": "some-tag", "Value": "value-for-tag"}],
         content_type="x-application/vnd.amazon+parquet",
@@ -111,7 +111,7 @@ def test_single_automl_step(pipeline_session):
                     "VpcConfig": {"SecurityGroupIds": ["group"], "Subnets": ["subnet"]},
                 },
             },
-            "AutoMLJobObjective": "fake job objective",
+            "AutoMLJobObjective": {},
             "InputDataConfig": [
                 {
                     "ChannelType": "training",
@@ -165,7 +165,7 @@ def test_single_automl_step_with_parameter(pipeline_session):
         max_candidates=1,
         max_runtime_per_training_job_in_seconds=3600,
         total_job_runtime_in_seconds=36000,
-        job_objective="fake job objective",
+        job_objective={},
         generate_candidate_definitions_only=False,
         tags=[{"Name": "some-tag", "Value": "value-for-tag"}],
         content_type="x-application/vnd.amazon+parquet",
@@ -239,7 +239,7 @@ def test_single_automl_step_with_parameter(pipeline_session):
                     "VpcConfig": {"SecurityGroupIds": ["group"], "Subnets": ["subnet"]},
                 },
             },
-            "AutoMLJobObjective": "fake job objective",
+            "AutoMLJobObjective": {},
             "InputDataConfig": [
                 {
                     "ChannelType": "training",
@@ -290,7 +290,7 @@ def test_get_best_auto_ml_model(pipeline_session):
         max_candidates=1,
         max_runtime_per_training_job_in_seconds=3600,
         total_job_runtime_in_seconds=36000,
-        job_objective="fake job objective",
+        job_objective={},
         generate_candidate_definitions_only=False,
         tags=[{"Name": "some-tag", "Value": "value-for-tag"}],
         content_type="x-application/vnd.amazon+parquet",
@@ -399,7 +399,7 @@ def test_automl_step_with_invalid_mode(pipeline_session):
         max_candidates=1,
         max_runtime_per_training_job_in_seconds=3600,
         total_job_runtime_in_seconds=36000,
-        job_objective="fake job objective",
+        job_objective={},
         generate_candidate_definitions_only=False,
         tags=[{"Name": "some-tag", "Value": "value-for-tag"}],
         content_type="x-application/vnd.amazon+parquet",
@@ -455,7 +455,7 @@ def test_automl_step_with_no_mode(pipeline_session):
         max_candidates=1,
         max_runtime_per_training_job_in_seconds=3600,
         total_job_runtime_in_seconds=36000,
-        job_objective="fake job objective",
+        job_objective={},
         generate_candidate_definitions_only=False,
         tags=[{"Name": "some-tag", "Value": "value-for-tag"}],
         content_type="x-application/vnd.amazon+parquet",