Python module to manage Digital Ocean droplets
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Lorenzo Setale 5bdbf08adf Merge pull request #127 from nharasym/master 4 years ago
digitalocean added floating_ip_limit support to account 4 years ago
.gitignore fix tests 4 years ago
.travis.yml Testing only on python 2.7 and 3.4 4 years ago
Dockerfile Changed docker file and the indentation. 4 years ago
LICENSE.txt New license file. LGPL v3 4 years ago
README.md Updated the description 4 years ago
requirements.txt Requiring requests >= 2.2.1 4 years ago
setup.py New release 4 years ago

README.md

python-digitalocean

This library provides easy access to Digital Ocean APIs to deploy droplets, images and more.

How to install

You can install python-digitalocean using pip

pip install -U python-digitalocean

or via sources:

python setup.py install

Features

python-digitalocean support all the features provided via digitalocean.com APIs, such as:

  • Get user’s Droplets
  • Get user’s Images (Snapshot and Backups)
  • Get public Images
  • Get Droplet’s event status
  • Create and Remove a Droplet
  • Resize a Droplet
  • Shutdown, restart and boot a Droplet
  • Power off, power on and “power cycle” a Droplet
  • Perform Snapshot
  • Enable/Disable automatic Backups
  • Restore root password of a Droplet

 Examples

Shutdown all droplets

This example shows how to shutdown all the active droplets:

import digitalocean
manager = digitalocean.Manager(token="secretspecialuniquesnowflake")
my_droplets = manager.get_all_droplets()
for droplet in my_droplets:
    droplet.shutdown()

Creating a Droplet and checking its status

This example shows how to create a droplet and how to check its status

import digitalocean
droplet = digitalocean.Droplet(token="secretspecialuniquesnowflake",
                               name='Example',
                               region='nyc2', # New York 2
                               image='ubuntu-14-04-x64', # Ubuntu 14.04 x64
                               size_slug='512mb',  # 512MB
                               backups=True)
droplet.create()

Checking the status of the droplet

actions = droplet.get_actions()
for action in actions:
    action.load()
    # Once it shows complete, droplet is up and running
    print action.status

Testing

Test using Docker

To test this python-digitalocean you can use docker to have a clean environment automatically. First you have to build the container by running in your shell on the repository directory:

docker build -t "pdo-tests" .

Then you can run all the tests (for both python 2 and python 3)

docker run pdo-tests

Note: This will use Ubuntu 14.04 as base and use your repository to run tests. So every time you edit some files, please run these commands to perform tests on your changes.

Testing using pytest manually

Use pytest to perform testing. It is recommended to use a dedicated virtualenv to perform tests, using these commands:

$ virtualenv /tmp/digitalocean_env
$ source /tmp/digitalocean_env/bin/activate
$ pip install -r requirements.txt

To run all the tests manually use py.test command:

$ py.test