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Chapter 7. Uploading files to your bucket

To upload files to your bucket from your workbench, use the upload_file() method.

Prerequisites

  • You have cloned the odh-doc-examples repository to your workbench.
  • You have opened the s3client_examples.ipynb file in your workbench.
  • You have installed Boto3 and configured an S3 client.
  • You have imported the files that you want to upload to your object store to your workbench.

Procedure

  1. In the Jupyter notebook, locate the instructions to upload files to a bucket. 

    #Upload file to bucket
#Replace <file_name>, <bucket_name>, and <object_name> with your values.
#<file_name>: Name of the file to upload. This value must include the full local path to the file on your workbench.
#<bucket_name>: The name of the bucket to upload the file to.
#<object_name>: The full key to use to save the file to the bucket.

s3_client.upload_file('<file_name>', '<bucket_name>', '<object_name>')
    Copy to Clipboard Toggle word wrap

  2. Replace <file_name>, <bucket_name> and <object_name> with your own values, as shown in the example, and then run the code cell. 

    s3_client.upload_file('image-973-series123.csv', 'aqs973-image-registry', '/tmp/image-973-series124.csv')
    Copy to Clipboard Toggle word wrap

Verification

  • Locate the following instructions to list files in a bucket: 

    #Upload Verification
for key in s3_client.list_objects_v2(Bucket='<bucket_name>')['Contents']:
print(key['Key'])
    Copy to Clipboard Toggle word wrap

  • Replace <bucket_name> with the name of your bucket, as shown in the example, and then run the code cell. 

    #Upload Verification
for key in s3_client.list_objects_v2(Bucket='aqs973-image-registry')['Contents']:  print(key['Key'])
    Copy to Clipboard Toggle word wrap

    The file that you uploaded is displayed in the output.

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