Learning Python Network Programming

Chapter 3

First we'll set up our command line interpreter and initialize the authentication.
Create a file called s3_client.py and save the following code block in it:

import sys

import requests

import requests_aws4auth as aws4auth

import xml.etree.ElementTree as ET

import xml.dom.minidom as minidom

access_id = '<ACCESS ID>'

access_key = '<ACCESS KEY>'

region = '<REGION>'

endpoint = 's3-{}.amazonaws.com'.format(region)

auth = aws4auth.AWS4Auth(access_id, access_key, region, 's3')

ns = 'http://s3.amazonaws.com/doc/2006-03-01/'

def xml_pprint(xml_string):

print(minidom.parseString(xml_string).toprettyxml())

def create_bucket(bucket):

print('Bucket name: {}'.format(bucket))

if __name__ == '__main__':

cmd, *args = sys.argv[1:]

globals()[cmd](*args)

Downloading the example code

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You'll need to replace and with the values from the
credentials CSV that we downloaded earlier, and with the AWS region
of your choice.

So, what are we doing here? Well, first we set up our endpoint. An endpoint is a
general term for a URL which is used to access an API. Some web APIs have a single
endpoint, some have many endpoints, it depends on how the API is designed. The
endpoint we generate here is actually only a part of the full endpoint which we'll
use when we work with buckets. Our actual endpoint is the endpoint prefixed by a
bucket name.