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

sagemaker-core/src/sagemaker/core/workflow/utilities.py

@@ -149,6 +149,8 @@ def get_code_hash(step: Entity) -> str:
     Returns:
         str: A hash string representing the unique code artifact(s) for the step
     """
+
+    dependencies = dependencies or []
     from sagemaker.mlops.workflow.steps import ProcessingStep, TrainingStep
 
     if isinstance(step, ProcessingStep) and step.step_args:

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

@@ -17,6 +17,7 @@
 from pathlib import Path
 from unittest.mock import Mock, patch, MagicMock
 from sagemaker.core.workflow.utilities import (
+    get_code_hash,
     list_to_request,
     hash_file,
     hash_files_or_dirs,
@@ -225,6 +226,61 @@ def test_get_processing_code_hash_with_source_dir(self):
             )
 
             assert result is not None
+
+    def test_get_processing_code_hash_with_source_dir_and_none_dependencies(self):
+        """Test get_processing_code_hash with source_dir and dependencies=None"""
+        with tempfile.TemporaryDirectory() as temp_dir:
+            code_file = Path(temp_dir, "script.py")
+            code_file.write_text("print('hello')")
+
+            result = get_processing_code_hash(
+                code=str(code_file), source_dir=temp_dir, dependencies=None
+            )
+
+            assert result is not None
+            assert len(result) == 64
+
+    def test_get_processing_code_hash_with_code_only_and_none_dependencies(self):
+        """Test get_processing_code_hash with code only and dependencies=None"""
+        with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as f:
+            f.write("print('hello')")
+            temp_file = f.name
+
+        try:
+            result = get_processing_code_hash(code=temp_file, source_dir=None, dependencies=None)
+
+            assert result is not None
+            assert len(result) == 64
+        finally:
+            os.unlink(temp_file)
+
+    @pytest.mark.skip(reason="Requires sagemaker-mlops module which is not installed in sagemaker-core tests")
+    def test_get_code_hash_with_training_step_none_requirements(self):
+        """Test get_code_hash with a TrainingStep whose 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
+            mock_source_code.entry_script = str(entry_file)
+
+            mock_model_trainer = Mock()
+            mock_model_trainer.source_code = mock_source_code
+
+            mock_step_args = Mock()
+            mock_step_args.func_args = [mock_model_trainer]
+
+            step = Mock(spec=TrainingStep)
+            step.step_args = mock_step_args
+
+            result = get_code_hash(step)
+
+            assert result is not None
+            assert len(result) == 64
             assert len(result) == 64
 
     def test_get_processing_code_hash_code_only(self):