aws / aws/amazon-sagemaker-examples

full_pipeline_property_file.ipynb failed CI

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Dominant language
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

Open the contributing 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

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