hotfix: can't use local data as node input (Azure#28229)

Author: elliotzh

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_resource.py

@@ -76,7 +76,7 @@ def __init__(
         # Hide read only properties in kwargs
         self._id = kwargs.pop("id", None)
         self.__source_path: Optional[str] = kwargs.pop("source_path", None)
-        self._base_path = kwargs.pop("base_path", os.getcwd())
+        self._base_path = kwargs.pop("base_path", None) or os.getcwd()  # base path should never be None
         self._creation_context = kwargs.pop("creation_context", None)
         client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
         self._serialize = Serializer(client_models)

sdk/ml/azure-ai-ml/tests/dsl/e2etests/test_dsl_pipeline.py

@@ -2509,3 +2509,16 @@ def my_pipeline() -> Outputs:
         component = client.components.create_or_update(pipeline_job.component, _is_anonymous=True)
         # pipeline component output mode is undefined behavior so we skip assert it
         # assert component._to_rest_object().as_dict()["properties"]["component_spec"]["outputs"] == expected_outputs
+
+    def test_local_data_as_node_input(self, client: MLClient):
+        hello_world_component_yaml = "./tests/test_configs/components/helloworld_component.yml"
+        hello_world_component_func = load_component(source=hello_world_component_yaml)
+        local_data_input = Input(type="uri_folder", path="./tests/test_configs/data")
+
+        @dsl.pipeline
+        def my_pipeline():
+            hello_world_component_func(component_in_number=1, component_in_path=local_data_input)
+
+        pipeline_job: PipelineJob = my_pipeline()
+        pipeline_job.settings.default_compute = "cpu-cluster"
+        assert_job_cancel(pipeline_job, client)