Chapter 4. Listing files in available Amazon S3 buckets using notebook cells

Procedure

1. Create a new notebook cell and list the objects in the bucket. For example:

   bucket_name = 'std-user-bucket1'
   s3_client.list_objects_v2(Bucket=bucket_name)

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   This returns several objects in the following format:

   {'Key': 'docker/registry/v2/blobs/sha256/00/0080913dd3f10aadb34asfgsgsdgasdga072049c93606b98bec84adb259b424f/data',
   'LastModified': datetime.datetime(2021, 4, 22, 1, 26, 1, tzinfo=tzlocal()),
   'ETag': '"6e02fad2deassadfsf900a4bd7344ffe"',
   'Size': 4052,
   'StorageClass': 'STANDARD'}

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2. You can make this list easier to read by printing only the key rather than the full response, for example:

   bucket_name = 'std-user-bucket1'
   for key in s3_client.list_objects_v2(Bucket=bucket_name)['Contents']:
       print(key['Key'])

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   This returns output similar to the following:

   docker/registry/v2/blobs/sha256/00/0080913dd3f10aadb34asfgsgsdgasdga072049c93606b98bec84adb259b424f/data

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3. You can also filter your query to list for a specific "path" or file name, for example:

   bucket_name = 'std-user-bucket1'
   for key in s3_client.list_objects_v2(Bucket=bucket_name,Prefix='<start_of_file_path>')['Contents']:
       print(key['Key'])

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   In the preceding example, replace <start_of_file_path> with your own value.