Listar Bucket en AWS usando credenciales dinámicas

Configuring AWS credentials

Downloading files from S3

How To Specify Credentials When Connecting To AWS S3 Using Boto3?

Amazon S3 buckets

file_transfer.py

import boto3
import botocore.session

def list_buckets():
    """
    Use the AWS SDK for Python (Boto3) to create an Amazon Simple Storage Service
    (Amazon S3) resource and list the buckets in your account.
    This example uses the default settings specified in your shared credentials
    and config files.
    """

    s3_resource = boto3.resource(
        's3',
        aws_access_key_id='IOEURT84POIU520PRU02974',
        aws_secret_access_key='gsjd48dufgRTTA3ou4/c11OQIU9+',
        aws_session_token='Ba0FwoGZXIiohafsdhfaS/R/fqoih45ads4f5adfasdfaf5a==',        
        region_name='us-east-1',
    )
    # https://blog.knoldus.com/how-to-specify-credentials-when-connecting-to-aws-services-using-boto3/
    session = botocore.session.get_session()
    print(session.get_credentials().access_key)
    print(session.get_credentials().secret_key)
    print(session.get_credentials().token)
    print("hola, Amazon S3! Lista de buckets:")

    for bucket in s3_resource.buckets.all():
        print(f"\t{bucket.name}")


if __name__ == '__main__':
    list_buckets()