s3monkey 0.1.1

Potential Use Cases

• Running Jupyter Notebooks on non-persistient storage (still being worked out).

• Storing user uploads for Django applications (e.g. the media folder).

Usage

AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY are expected to be set:

$ AWS_ACCESS_KEY_ID=xxxxxxxxxxx
$ AWS_SECRET_ACCESS_KEY=xxxxxxxxxxx

Basic usage:

from s3monkey import S3FS

with S3FS(bucket='media.kennethreitz.com', mount_point='/app/data') as fs:

    # Create a 'test' key on S3, with the contents of 'hello'.
    with open('/app/data/test', 'w') as f:
        f.write('hello')

    # List the keys in the S3 bucket.
    print(os.listdir('/app/data'))
    # ['file1.txt', 'file2.txt', 'file2.txt', 'test', …]

Installation

$ pipenv install s3monkey

This module only supports Python 3.