Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Handle Amazon S3 PUT/GET/DELETE/sign interactions

Project Description

Handle Amazon S3 interactions

Objects / files can be put into S3, retrieved from and deleted from S3. Also signed URLs can be generated to allow limited-time access to a particular object in an S3 bucket.

Requires Python 2.7 or above.

Available as Python package at http://pypi.python.org/pypi/pyawsbuckets [ pip install pyawsbuckets ] Source at https://github.com/mhenwood/pyawsbuckets

Usage

Initialise

Initiate the access object with your credentials:

from pyawsbuckets import AwsInterface
aws_interface = AwsInterface(amazon_access_key, amazon_secret_key)

PUT object

Put an object into an existing bucket at S3 (repeat: the bucket must ALREADY exist):

aws_interface.put(
    'https',
    'bucket999',
    'somefile.pdf',
    content)

Put an object into an existing bucket at S3, activating server-side encryption for that object:

aws_interface.put(
    'https',
    'bucket999',
    'somefile.pdf',
    content,
    server_side_encryption=True)

The put method also accepts an optional content_type keyword argument which should be a standard internet media type (e.g. “image/jpeg”)

GET object

Retrieve a given object from a given bucket:

object_contents = aws_interface(
    'https',
    'bucket999',
    'somefile.pdf')

DELETE object

Delete an object from S3:

aws_interface.delete('bucket999', 'somefile.pdf')

Expiring access URL

Get a signed URL which gives access to a private object, but only for (e.g.) 15 minutes. This is useful if you wish for users to be able to download private objects directly, but only for a brief window of time (to stop, for example, link sharing):

expiring_url = aws_interface.sign_object_request('https', 'bucket999', 'somefile.pdf', 15)

Using HTTPS

You can specify ‘https’ as the protocol for putting/getting files and for signing.

However you should bear in mind that given the way wildcard certificates work, the certificate presented by the S3 service will not match the requested hostname if your bucket name contains dots (periods).

This is because a certificate for “*.s3.amazon.com” will work nicely for hostnames like “foo.s3.amazon.com” and “foo-example-com.s3.example.com” but will NOT work for hostnames like “foo.bar.s3.amazon.com”. This is a feature of wildcard certificates and their jurisdiction, not of S3 or this library.

Because the bucket name gets translated into a hostname, this matters. It matters because your request will fail.

In short: avoid dots (periods) in bucket names if you plan to use https at all.

Known Limitations

Does not currently handle ‘307’ redirects from AWS - You will receive these for the first few hours of a bucket’s lifetime, until AWS’s DNS changes have propagated fully.

Release History

Release History

This version
History Node

1.2.0

History Node

1.1.0

History Node

1.0.5

History Node

1.0.4

History Node

1.0.3

History Node

1.0.2

History Node

1.0.1

History Node

1.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyawsbuckets-1.2.0-py2.7.egg (9.2 kB) Copy SHA256 Checksum SHA256 2.7 Egg May 29, 2013
pyawsbuckets-1.2.0.tar.gz (5.1 kB) Copy SHA256 Checksum SHA256 Source May 29, 2013

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting