Doto is a Python interface to Digital Ocean with an emphasis on production usage. doto supports the following features:
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Droplet:
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Create
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Destroy
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Transfer
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Create Snapshot
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Resize
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Restore
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Rename
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Reboot
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Shutdown
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Power Cycle
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Power Off
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Power On
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Password Reset
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Image/Snapshot:
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Create Snapotshot
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Destroy
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Transfer
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SSH Key:
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Create and Upload
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Delete
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Domain:
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Coming Soon
To get started with doto create a .doto file in your home directory with your api_key and client_id listed:
[Credentials]
client_id = XXXXXXXXXXXXX
api_key = 99999999999999999999999
You are now ready to use doto
import doto
d0 = doto.connect_d0()
new_key = d0.create_key_pair('my_new_key_pair')
droplet = d0.create_droplet(name='Random',
size_id=66, #512MB
image_id=1341147, #Docker 0.7 Ubuntu 13.04 x64
region_id=1, #New York
ssh_key_ids=[new_key['id']]
)Doto is designed to support both Python 2.7 and Python 3. A number of functions add a bit more than just returning json converted dicts. For example
In [1]: import doto
In [2]: d0 = doto.connect_d0()
In [3]: df_imgs = d0.get_all_images()
>>> Getting /images
In [5]: df_imgs.tail()
Out[5]:
distribution id name \
38 Ubuntu 1608711 Ruby on Rails on Ubuntu 12.10 (Nginx + Unicorn)
39 CentOS 1646467 CentOS 6.5 x64
40 CentOS 1646732 CentOS 6.5 x32
41 Ubuntu 1687372 Redmine on Ubuntu 12.04
42 Ubuntu 1720819 GitLab 6.4.3 CE
public slug
38 True None
39 True None
40 True None
41 True None
42 True NonePandas Dataframes -- while a bit heavy -- provide a nice interface for searching and sorting over.
In [6]: df_imgs.sort('distribution',inplace=True)
In [7]: df_imgs.head()
Out[7]:
distribution id name public slug
20 Arch Linux 361740 Arch Linux 2013.05 x32 True None
19 Arch Linux 350424 Arch Linux 2013.05 x64 True None
5 CentOS 1601 CentOS 5.8 x64 True None
26 CentOS 562354 CentOS 6.4 x64 True None
6 CentOS 1602 CentOS 5.8 x32 True None