Expected Behaviour

I have been playing with the Recipe Builder using the sample codes and the sample Retail Sale dataset, at the jupyterLab on UI: https://platform.adobe.com/notebooks/jupyterLab

The sample datasaver code is expected to work without issues.
Here is the datasaver code:

`def save(config_properties, prediction):

 client_context = get_client_context(config_properties)

 dataset = Dataset(client_context).get_by_id(config_properties['scoringResultsDataSetId'])

 dataset_writer = DatasetWriter(client_context, dataset)

 dataset_writer.write(prediction, file_format='json')

 print("Datasaver Finish")`

Actual Behaviour

The line below throws an error
dataset_writer.write(prediction, file_format='json')

The error is around authentication:

Traceback (most recent call last):
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"main", mod_spec)
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/ml_runtime_python-0.33.3-py3.5.egg/main.py", line 3, in
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/ml_runtime_python-0.33.3-py3.5.egg/ml/runtime/python/main/main.py", line 63, in main
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/ml_runtime_python-0.33.3-py3.5.egg/ml/runtime/python/core/scoringInitiator.py", line 76, in initiate
File "dist/recipe-0.0.1-py3.5.egg/recipe/datasaver.py", line 20, in save
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/platform_sdk/dataset_writer.py", line 60, in write
file_path = common_adl_access._get_file_path(self.dataset_id(), batch_id, view_id)
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/platform_sdk/common_adl_client.py", line 55, in _get_file_path
self._data_set_info(data_set_id)
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/platform_sdk/common_adl_client.py", line 52, in _data_set_info
self._adl_client = ADLClient(data_set_id, credential_response)
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/platform_sdk/adl.py", line 45, in init
resource = ADL_RESOURCE_URL)
File "/opt/conda/envs/usermlruntimepython/lib/python3.5/site-packages/azure/datalake/store/lib.py", line 118, in auth
raise ValueError("tenant_id and client_id must be supplied for authentication")
ValueError: tenant_id and client_id must be supplied for authentication

Then I generated the tenantId via following curl command

curl -X GET \ https://platform.adobe.io/data/foundation/schemaregistry/stats \ -H 'Authorization: [Bearer token] \ -H 'x-api-key: [api key]' \ -H 'x-gw-ims-org-id: [imsorg id]'

I added it to the scoring configuration file scoring.conf with key "tenantId", but still the error persists and I don't know how to pass client_id for authentication.

Reproduce Scenario (including but not limited to)

Click "Score" button on the Recipe Builder page. The error shows up when saving the prediction to the scoring output.

Steps to Reproduce

Click "Score" button on the Recipe Builder page.

Platform and Version

Adobe Experience Platform/Data Science Workspace.

Sample Code that illustrates the problem

Logs taken while reproducing problem