Leer el contenido del archivo del bucket de S3 con boto3

Solución:

boto3 ofrece un modelo de recursos que facilita tareas como la iteración a través de objetos. Desafortunadamente, StreamingBody no proporciona readline o readlines.

s3 = boto3.resource('s3')
bucket = s3.Bucket('test-bucket')
# Iterates through all the objects, doing the pagination for you. Each obj
# is an ObjectSummary, so it doesn't contain the body. You'll need to call
# get to get the whole body.
for obj in bucket.objects.all():
    key = obj.key
    body = obj.get()['Body'].read()

También puede considerar el smart_open módulo, que admite iteradores:

from smart_open import smart_open

# stream lines from an S3 object
for line in smart_open('s3://mybucket/mykey.txt', 'rb'):
    print(line.decode('utf8'))

y administradores de contexto:

with smart_open('s3://mybucket/mykey.txt', 'rb') as s3_source:
    for line in s3_source:
         print(line.decode('utf8'))

    s3_source.seek(0)  # seek to the beginning
    b1000 = s3_source.read(1000)  # read 1000 bytes

Encontrar smart_open en https://pypi.org/project/smart_open/

Cuando desee leer un archivo con una configuración diferente a la predeterminada, no dude en utilizar mpu.aws.s3_read(s3path) directamente o el código copiado y pegado:

def s3_read(source, profile_name=None):
    """
    Read a file from an S3 source.

    Parameters
    ----------
    source : str
        Path starting with s3://, e.g. 's3://bucket-name/key/foo.bar'
    profile_name : str, optional
        AWS profile

    Returns
    -------
    content : bytes

    botocore.exceptions.NoCredentialsError
        Botocore is not able to find your credentials. Either specify
        profile_name or add the environment variables AWS_ACCESS_KEY_ID,
        AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN.
        See https://boto3.readthedocs.io/en/latest/guide/configuration.html
    """
    session = boto3.Session(profile_name=profile_name)
    s3 = session.client('s3')
    bucket_name, key = mpu.aws._s3_path_split(source)
    s3_object = s3.get_object(Bucket=bucket_name, Key=key)
    body = s3_object['Body']
    return body.read()

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