aws / aws/amazon-sagemaker-examples
hello_world_workflow.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/step-functions-data-science-sdk/hello_world_workflow/hello_world_workflow.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [7]":
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InvalidArn Traceback (most recent call last)
in
----> 1 basic_workflow.create()
/opt/conda/lib/python3.7/site-packages/stepfunctions/workflow/stepfunctions.py in create(self)
203
204 try:
--> 205 self.state_machine_arn = self._create()
206 except self.client.exceptions.StateMachineAlreadyExists as e:
207 self.state_machine_arn = self._extract_state_machine_arn(e)
/opt/conda/lib/python3.7/site-packages/stepfunctions/workflow/stepfunctions.py in _create(self)
215 definition=self.definition.to_json(pretty=self.format_json),
216 rol
[...]
InvalidArn: An error occurred (InvalidArn) when calling the CreateStateMachine operation: Invalid Role Arn: ''
Contributor guide
Research direction
Open step-functions-data-science-sdk/hello_world_workflow/hello_world_workflow.ipynb and inspect the code around cell In [7], where basic_workflow.create() fails. Reproduce the CI run and trace the InvalidArn error for the CreateStateMachine operation; done means the notebook workflow executes successfully in CI without the invalid role ARN error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- ci-cd, cloud
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100