Skip to main content

A CLI to interact with the Dimension Data Cloud API

Project description

https://travis-ci.org/DimensionDataDevOps/didata_cli.svg?branch=master https://badge.fury.io/py/didata_cli.svg

A CLI tool to interact with the Dimension Data Cloud

Installation

Installation via pip:

pip install didata_cli

It is highly recommended to also take the LATEST version of libcloud:

pip install git+https://github.com/apache/libcloud.git@trunk --upgrade

QuickStart

To see all the commands:

didata --help

The easiest way to start using the CLI is to export environment variables for username and password:

export DIDATA_USER='cloud_user'
export DIDATA_PASSWORD='cloud_password'

You may also want to specify a region (Default is dd-na):

export DIDATA_REGION='dd-eu'

From there as a first command to list servers:

didata server list

Contributing

  1. Fork it ( https://github.com/DimensionDataDevOps/didata_cli/fork )

  2. Create your feature branch (git checkout -b my-new-feature)

  3. Commit your changes (git commit -am ‘Add some feature’)

  4. Push to the branch (git push origin my-new-feature)

  5. Create a new Pull Request

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

didata_cli-0.2.4.tar.gz (12.3 kB view hashes)

Uploaded Source

Built Distributions

didata_cli-0.2.4.linux-x86_64.tar.gz (30.3 kB view hashes)

Uploaded Source

didata_cli-0.2.4-py2.py3-none-any.whl (16.7 kB view hashes)

Uploaded Python 2 Python 3

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