aws / aws/amazon-sagemaker-examples
dw_job.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/use-cases/predmaint/dw_flow/dw_job.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ClientError Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/boto3/s3/transfer.py in upload_file(self, filename, bucket, key, callback, extra_args)
278 try:
--> 279 future.result()
280 # If a client error was raised, add the backwards compatibility layer
/opt/conda/lib/python3.7/site-packages/s3transfer/futures.py in result(self)
105 # out of this and propogate the exception.
--> 106 return self._coordinator.result()
107 except KeyboardInterrupt as e:
/opt/conda/lib/python3.7/si
[...]
S3UploadFailedError: Failed to upload prm.flow to sagemaker-fleet-prm-soln/data_wrangler_flows/flow-11-00-07-34-0b568079.flow: An error occurred (AccessDenied) when calling the PutObject operation: Access Denied
Contributor guide
Research direction
Open use-cases/predmaint/dw_flow/dw_job.ipynb and reproduce the failure at In [4]. Inspect the S3 upload of prm.flow to the sagemaker-fleet-prm-soln bucket and the permissions involved in the AccessDenied error. Done means the notebook no longer fails CI at that upload step.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100