This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

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
Release History

Release History

0.2.4

This version

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0.2.3

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0.2.0

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0.1.12

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0.1.11

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0.1.10

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0.1.9

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0.1.8

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0.1.7

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0.1.6

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0.1.5

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
didata_cli-0.2.4.linux-x86_64.tar.gz (30.3 kB) Copy SHA256 Checksum SHA256 any Dumb Binary May 6, 2016
didata_cli-0.2.4-py2.py3-none-any.whl (16.7 kB) Copy SHA256 Checksum SHA256 2.7 Wheel May 6, 2016
didata_cli-0.2.4.tar.gz (12.3 kB) Copy SHA256 Checksum SHA256 Source May 6, 2016

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