Skip to main content

The Python lib for digital ocean automation

Project description

pydoautomator

codecov DeepSource Actions Status

The Digital Ocean python automation lib

Install

pip install pydoautomator

Simple as that

from pydoautomator import Automator, Droplet
digital_ocean_token = 'my-digital-ocean-api-token'

aut = Automator(digital_ocean_token)

droplet_data = {
    "name" : "t1.techno24x7.com",
    "region" : "nyc1",
    "size" : "s-8vcpu-16gb",
    "image" : 68259296, # snapshot id
    "ssh_keys" : [27410347, 27608055, 27590881],
    "private_networking" : True,
    "vpc_uuid" : "47e5c00a-2b23-4dac-bed4-0e44659941f3",
    "monitoring" : True
    "tags" : ["tests"]
}

droplet = Droplet(**droplet_data)

aut.create_droplet_from_snapshot(droplet)

Assign floating ip to droplet

droplet_id = 152412424
floating_ip = '164.90.252.72'
action_status = aut.assign_floating_ip_to_droplet(floating_ip, droplet_id)

if action_status == 'completed':
    print('floating_ip assigned to droplet!')

Create droplet and assign floating ip as soon as droplet created

digital_ocean_token = 'my-super-cool-digital-ocean-api-token'

aut = Automator(digital_ocean_token)

droplet_data = {
    "name": "t1.techno24x7.com",
    "region": "nyc1",
    "size": "s-8vcpu-16gb",
    "image": 70649304, # snapshot id
    "ssh_keys": [27410347, 27608055, 27590881],
    "private_networking": True,
    "vpc_uuid": "47e5c00a-2b23-4dac-bed4-0e44659941f3",
    "monitoring": True
}

droplet = Droplet(**droplet_data)

droplet_id = aut.create_droplet_from_snapshot(droplet)


floating_ip = '164.90.252.72'
action_status = aut.assign_floating_ip_to_droplet(floating_ip, droplet_id)

if action_status == 'completed':
    print('floating_ip assigned to droplet!')

Shutdown / turnoff droplet

droplet_id = 123456
aut.turnoff_droplet(droplet_id)

Destroy droplet by id

droplet_id = 123456
aut.destroy_droplet(droplet_id)

Get all droplets

droplets_list = aut.get_all_droplets(droplet_id)

Project details


Download files

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

Source Distribution

pydoautomator-0.8.3.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

pydoautomator-0.8.3-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file pydoautomator-0.8.3.tar.gz.

File metadata

  • Download URL: pydoautomator-0.8.3.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.6.12 Linux/5.4.0-1031-azure

File hashes

Hashes for pydoautomator-0.8.3.tar.gz
Algorithm Hash digest
SHA256 5136a7d894115bfc2f6c8f182dc644af9ae0f584b9e89d163536dd4d30bccfbb
MD5 51024176a9788097fabc0032a130107e
BLAKE2b-256 1548a672c00be41ca062380528fa6ed2a9be3d6f36ee6c9d147884e0545e9bba

See more details on using hashes here.

File details

Details for the file pydoautomator-0.8.3-py3-none-any.whl.

File metadata

  • Download URL: pydoautomator-0.8.3-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.6.12 Linux/5.4.0-1031-azure

File hashes

Hashes for pydoautomator-0.8.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9be6358f88dbc90295fae78953bbb28b1765cd0797186da846d9a8c4ebf7a5df
MD5 eb8ae34ac6320010a84e5ec5496884f8
BLAKE2b-256 ee8db40eeb9c6f4b3eb6e5a180eae0f53781d1ba8baf3afd6d3775fcab72cd35

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page