fix: Create workflow module scoped sagemaker_session to resolve test …

…race condition (aws#4518)

src/sagemaker/session.py

@@ -189,7 +189,7 @@ def __init__(
         sagemaker_runtime_client=None,
         sagemaker_featurestore_runtime_client=None,
         default_bucket=None,
-        settings=SessionSettings(),
+        settings=None,
         sagemaker_metrics_client=None,
         sagemaker_config: dict = None,
         default_bucket_prefix: str = None,
@@ -260,7 +260,7 @@ def __init__(
         self.resource_group_tagging_client = None
         self._config = None
         self.lambda_client = None
-        self.settings = settings
+        self.settings = settings if settings else SessionSettings()
 
         self._initialize(
             boto_session=boto_session,

tests/integ/sagemaker/workflow/conftest.py

@@ -0,0 +1,65 @@
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"). You
+# may not use this file except in compliance with the License. A copy of
+# the License is located at
+#
+#     http://aws.amazon.com/apache2.0/
+#
+# or in the "license" file accompanying this file. This file is
+# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific
+# language governing permissions and limitations under the License.
+from __future__ import absolute_import
+
+import os
+
+import pytest
+from botocore.config import Config
+
+from tests.integ import DATA_DIR
+from sagemaker import Session, get_execution_role
+
+CUSTOM_S3_OBJECT_KEY_PREFIX = "session-default-prefix"
+
+
+# Create a sagemaker_session in workflow scope to prevent race condition
+# with other tests. Some other tests may change the session `settings`.
+@pytest.fixture(scope="module")
+def sagemaker_session_for_pipeline(
+    sagemaker_client_config,
+    boto_session,
+):
+    sagemaker_client_config.setdefault("config", Config(retries=dict(max_attempts=10)))
+    sagemaker_client = (
+        boto_session.client("sagemaker", **sagemaker_client_config)
+        if sagemaker_client_config
+        else None
+    )
+
+    return Session(
+        boto_session=boto_session,
+        sagemaker_client=sagemaker_client,
+        sagemaker_config={},
+        default_bucket_prefix=CUSTOM_S3_OBJECT_KEY_PREFIX,
+    )
+
+
+@pytest.fixture(scope="module")
+def smclient(sagemaker_session):
+    return sagemaker_session.boto_session.client("sagemaker")
+
+
+@pytest.fixture(scope="module")
+def role(sagemaker_session_for_pipeline):
+    return get_execution_role(sagemaker_session_for_pipeline)
+
+
+@pytest.fixture(scope="module")
+def region_name(sagemaker_session_for_pipeline):
+    return sagemaker_session_for_pipeline.boto_session.region_name
+
+
+@pytest.fixture(scope="module")
+def script_dir():
+    return os.path.join(DATA_DIR, "sklearn_processing")

tests/integ/sagemaker/workflow/test_experiment.py

@@ -19,7 +19,6 @@
 
 from tests.integ.sagemaker.workflow.helpers import wait_pipeline_execution
 from sagemaker.processing import ProcessingInput
-from sagemaker.session import get_execution_role
 from sagemaker.sklearn.processing import SKLearnProcessor
 from sagemaker.dataset_definition.inputs import DatasetDefinition, AthenaDatasetDefinition
 from sagemaker.workflow.execution_variables import ExecutionVariables
@@ -33,33 +32,13 @@
 from tests.integ import DATA_DIR
 
 
-@pytest.fixture(scope="module")
-def region_name(sagemaker_session):
-    return sagemaker_session.boto_session.region_name
-
-
-@pytest.fixture(scope="module")
-def role(sagemaker_session):
-    return get_execution_role(sagemaker_session)
-
-
-@pytest.fixture(scope="module")
-def script_dir():
-    return os.path.join(DATA_DIR, "sklearn_processing")
-
-
 @pytest.fixture
 def pipeline_name():
     return f"my-pipeline-{int(time.time() * 10**7)}"
 
 
 @pytest.fixture
-def smclient(sagemaker_session):
-    return sagemaker_session.boto_session.client("sagemaker")
-
-
-@pytest.fixture
-def athena_dataset_definition(sagemaker_session):
+def athena_dataset_definition(sagemaker_session_for_pipeline):
     return DatasetDefinition(
         local_path="/opt/ml/processing/input/add",
         data_distribution_type="FullyReplicated",
@@ -69,15 +48,15 @@ def athena_dataset_definition(sagemaker_session):
             database="default",
             work_group="workgroup",
             query_string='SELECT * FROM "default"."s3_test_table_$STAGE_$REGIONUNDERSCORED";',
-            output_s3_uri=f"s3://{sagemaker_session.default_bucket()}/add",
+            output_s3_uri=f"s3://{sagemaker_session_for_pipeline.default_bucket()}/add",
             output_format="JSON",
             output_compression="GZIP",
         ),
     )
 
 
 def test_pipeline_execution_with_default_experiment_config(
-    sagemaker_session,
+    sagemaker_session_for_pipeline,
     smclient,
     role,
     sklearn_latest_version,
@@ -99,7 +78,7 @@ def test_pipeline_execution_with_default_experiment_config(
         instance_type=cpu_instance_type,
         instance_count=instance_count,
         command=["python3"],
-        sagemaker_session=sagemaker_session,
+        sagemaker_session=sagemaker_session_for_pipeline,
         base_job_name="test-sklearn",
     )
 
@@ -113,7 +92,7 @@ def test_pipeline_execution_with_default_experiment_config(
         name=pipeline_name,
         parameters=[instance_count],
         steps=[step_sklearn],
-        sagemaker_session=sagemaker_session,
+        sagemaker_session=sagemaker_session_for_pipeline,
     )
 
     try:
@@ -142,7 +121,7 @@ def test_pipeline_execution_with_default_experiment_config(
 
 
 def test_pipeline_execution_with_custom_experiment_config(
-    sagemaker_session,
+    sagemaker_session_for_pipeline,
     smclient,
     role,
     sklearn_latest_version,
@@ -164,7 +143,7 @@ def test_pipeline_execution_with_custom_experiment_config(
         instance_type=cpu_instance_type,
         instance_count=instance_count,
         command=["python3"],
-        sagemaker_session=sagemaker_session,
+        sagemaker_session=sagemaker_session_for_pipeline,
         base_job_name="test-sklearn",
     )
 
@@ -185,7 +164,7 @@ def test_pipeline_execution_with_custom_experiment_config(
             trial_name=Join(on="-", values=["my-trial", ExecutionVariables.PIPELINE_EXECUTION_ID]),
         ),
         steps=[step_sklearn],
-        sagemaker_session=sagemaker_session,
+        sagemaker_session=sagemaker_session_for_pipeline,
     )
 
     try: