fix: Pipeline TypeError: can only concatenate list (not "NoneType") to list Using Sou (#5518)

sagemaker-core/tests/unit/workflow/test_utilities.py

@@ -32,6 +32,7 @@
 from sagemaker.core.workflow.entities import Entity
 from sagemaker.core.workflow.parameters import Parameter
 from sagemaker.core.workflow.pipeline_context import _StepArguments
+from sagemaker.core.workflow.utilities import get_code_hash
 
 
 class MockEntity(Entity):
@@ -308,6 +309,49 @@ def test_get_training_code_hash_entry_point_only(self):
             assert len(result_with_deps) == 64
             assert result_no_deps != result_with_deps
 
+    def test_get_training_code_hash_with_source_dir_none_dependencies(self):
+        """Test get_training_code_hash with source_dir and None dependencies does not raise TypeError"""
+        with tempfile.TemporaryDirectory() as temp_dir:
+            entry_file = Path(temp_dir, "train.py")
+            entry_file.write_text("print('training')")
+
+            # This is the exact scenario from the bug report: dependencies=None
+            result = get_training_code_hash(
+                entry_point=str(entry_file), source_dir=temp_dir, dependencies=None
+            )
+
+            assert result is not None
+            assert len(result) == 64
+
+    def test_get_training_code_hash_entry_point_only_none_dependencies(self):
+        """Test get_training_code_hash with entry_point only and None dependencies does not raise TypeError"""
+        with tempfile.TemporaryDirectory() as temp_dir:
+            entry_file = Path(temp_dir, "train.py")
+            entry_file.write_text("print('training')")
+
+            # entry_point only, no source_dir, dependencies=None
+            result = get_training_code_hash(
+                entry_point=str(entry_file), source_dir=None, dependencies=None
+            )
+
+            assert result is not None
+            assert len(result) == 64
+
+    def test_get_training_code_hash_default_dependencies(self):
+        """Test get_training_code_hash with default dependencies parameter (not passed)"""
+        with tempfile.TemporaryDirectory() as temp_dir:
+            entry_file = Path(temp_dir, "train.py")
+            entry_file.write_text("print('training')")
+
+            # Not passing dependencies at all - should use default None
+            result = get_training_code_hash(
+                entry_point=str(entry_file), source_dir=temp_dir
+            )
+
+            assert result is not None
+            assert len(result) == 64
+
+
     def test_get_training_code_hash_s3_uri(self):
         """Test get_training_code_hash with S3 URI returns None"""
         result = get_training_code_hash(
@@ -325,6 +369,54 @@ def test_get_training_code_hash_pipeline_variable(self):
 
             assert result is None
 
+    @pytest.mark.skip(reason="Requires sagemaker-mlops module which is not installed in sagemaker-core tests")
+    def test_get_code_hash_training_step_none_requirements(self):
+        """Test get_code_hash with TrainingStep where source_code.requirements is None"""
+        from sagemaker.mlops.workflow.steps import TrainingStep
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            entry_file = Path(temp_dir, "train.py")
+            entry_file.write_text("print('training')")
+
+            mock_source_code = Mock()
+            mock_source_code.source_dir = temp_dir
+            mock_source_code.requirements = None  # This is the bug scenario
+            mock_source_code.entry_script = str(entry_file)
+
+            mock_model_trainer = Mock()
+            mock_model_trainer.source_code = mock_source_code
+
+            mock_step_args = Mock(spec=_StepArguments)
+            mock_step_args.func_args = [mock_model_trainer]
+
+            mock_step = Mock(spec=TrainingStep)
+            mock_step.step_args = mock_step_args
+
+            # This should not raise TypeError
+            result = get_code_hash(mock_step)
+
+            assert result is not None
+            assert len(result) == 64
+
+    @pytest.mark.skip(reason="Requires sagemaker-mlops module which is not installed in sagemaker-core tests")
+    def test_get_code_hash_training_step_no_source_code(self):
+        """Test get_code_hash with TrainingStep where source_code is None"""
+        from sagemaker.mlops.workflow.steps import TrainingStep
+
+        mock_model_trainer = Mock()
+        mock_model_trainer.source_code = None
+
+        mock_step_args = Mock(spec=_StepArguments)
+        mock_step_args.func_args = [mock_model_trainer]
+
+        mock_step = Mock(spec=TrainingStep)
+        mock_step.step_args = mock_step_args
+
+        result = get_code_hash(mock_step)
+
+        assert result is None
+
+
     def test_validate_step_args_input_valid(self):
         """Test validate_step_args_input with valid input"""
         step_args = _StepArguments(