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        "author": "Allamand Sebastien",
        "author_email": "sebastien@allamand.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: Public Domain",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Utilities"
        ],
        "description": "pwd-cli\n=========\n\n*A simple python CLI for your on-premise instance of Play With Docker*\n\n\n*Create a 5 node Cluster Swarm in 5 seconds!*\n\n\nPurpose\n-------\n\nThis is a CLI that allows you to create, connecte to, view, and delete \ninstances of Play-With-Docker.\n\n- You Need to have an instance of [Play-With-Docker](https://github.com/franela/play-with-docker) without the Capcha test.\n\nThe Goal of this project is to allow you or your users to quickly create ready to uses clusters swarm, and uses it without\nleaving your terminal.\n\nInstallation\n------------\n\nThe easiest way is to install from Pypi library::\n\n    $ pip install pwdc\n\n\nUsage\n-----\n\nYou can just uses the following commands to create and use your cluster::\n\n    $ pwdc init --pwd-url=http://<your-pwd-server>\n\nInitialise the pwdc configuration file in ~/.pwdc.\nYou need to update the ~/.pwdc value with the url of your PWD instance if not given the `--pwd-url` parameter::\n\n    $ pwdc create\n\nThis will uses the PWD instance from your `~/.pwdc` file, then :\n\n- create a PWD session\n- create 5 nodes\n- init a swarm with a master on node1\n- join the swarm from the node2 to node5\n- provides informations on your cluster\n\nThe Cluster is ready to uses, just point your docker CLI on the new Swarm::\n\n\n    $ eval $(pwdc env)\n    $ docker info\n\n\n>From then, you can manipulaite the swarm cluster with your docker or docker-compose CLI::\n\n    $ pwdc info\n\nShow you the informations about your PWD session.\n\n\nYou can have multiple PWD session, this is manage with the `--session_file` parameter, which locally store your PWD session informations.\n\n\nAfter a while, the session will be aumatically deleted, but you can also delete it manually when you are done with your session::\n\n    $ pwdc delete\n    $ eval $(pwdc env -u)\n\nthe last eval if to reset your docker client config\n\n\n\nContribution\n------------\n\nIf you've cloned this project, and want to install the library (*and all\ndevelopment dependencies*), the command you'll want to run is::\n\n    $ pip install -e .[test]\n\nIf you'd like to run all tests for this project (*assuming you've written\nsome*), you would run the following command::\n\n    $ python setup.py test\n\nThis will trigger `py.test <http://pytest.org/latest/>`_, along with its popular\n`coverage <https://pypi.python.org/pypi/pytest-cov>`_ plugin.\n\nLastly, if you'd like to cut a new release of this CLI tool, and publish it to\nthe Python Package Index (`PyPI <https://pypi.python.org/pypi>`_), you can do so\nby running::\n\n    $ python setup.py sdist bdist_wheel\n    $ twine upload dist/*\n\nThis will build both a source tarball of your CLI tool, as well as a newer wheel\nbuild (*and this will, by default, run on all platforms*).\n\nThe ``twine upload`` command (which requires you to install the `twine\n<https://pypi.python.org/pypi/twine>`_ tool) will then securely upload your\nnew package to PyPI so everyone in the world can use it!\n\n\n\nCr\u00e9dit\n------\n\nThis Works is based on the [skele-cli](https://github.com/rdegges/skele-cli) python cli project skeleton\nand uses the powerfull opensource project [Play-With-Docker](https://github.com/franela/play-with-docker).\n\n\n\n",
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        "keywords": "cli",
        "license": "UNLICENSE",
        "maintainer": "",
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        "name": "pwdc",
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        "summary": "A simple python CLI for Play With Docker",
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