aws / aws/amazon-sagemaker-examples
full_pipeline_property_file.ipynb failed CI
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- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/use-cases/retail_recommend/data_wrangler_assets/full_pipeline_property_file.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [15]":
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
in
----> 1 s3_client.upload_file(Filename='deploy.py', Bucket=bucket, Key=f'{prefix}/code/deploy.py')
2 deploy_script_uri = f's3://{bucket}/{prefix}/code/deploy.py'
3
4 deployment_processor = SKLearnProcessor(
5 framework_version='0.23-1',
/opt/conda/lib/python3.7/site-packages/boto3/s3/inject.py in upload_file(self, Filename, Bucket, Key, ExtraArgs, Callback, Config)
129 return transfer.upload_file(
130 filename=Filename, bucket=Bucket, key=Key,
--> 131 extra_args=ExtraArgs, callback=Callback)
132
133
/opt/conda/lib/python3.7/site-packages/boto3/s3/tran
[...]
FileNotFoundError: [Errno 2] No such file or directory: 'deploy.py'
Contributor guide
Research direction
Open use-cases/retail_recommend/data_wrangler_assets/full_pipeline_property_file.ipynb and inspect In [15], where s3_client.upload_file references deploy.py. Re-run the notebook or CI reproduction and verify that deploy.py can be found and uploaded without the reported FileNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100