• Stars
    star
    655
  • Rank 68,765 (Top 2 %)
  • Language
    Python
  • License
    BSD 3-Clause "New...
  • Created over 9 years ago
  • Updated 5 months ago

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Repository Details

A CLI with autocompletion and syntax highlighting for Docker commands.

Stories in Ready PyPI version Join the chat at https://gitter.im/j-bennet/wharfee

Is this still maintained?

I love wharfee, and I don't want it to die, that's why it's still on github. But the project didn't pick up any new contributors, and I don't currently have the time to maintain it. If you're interested in taking over and maintaining wharfee, let me know. If you want to sponsor maintaining wharfee, let me know as well.

wharfee

A shell for Docker that can do autocompletion and syntax highlighting.

ps

Why?

Docker commands have tons of options. They are hard to remember.

ps

Container names are hard to remember and type.

rm

Same goes for image names.

rmi

There are some handy shortcuts too. What was that command to remove all dangling images? OMG, what was it? docker rmi $(docker ps --all --quiet)? Oh, there you go:

rmi-dangling

Boom! How about removing all stopped containers?

rm-stopped

Installation

Wharfee is a Python package hosted on pypi and installed with:

$ pip install wharfee

Alternatively, you can install the latest from github and get all the bugfixes that didn't make it into pypi release yet:

$ pip install git+https://github.com/j-bennet/wharfee.git

Running

Wharfee is a console application. You run it from terminal by typing the program name into the command line:

$ wharfee

If you're on Windows, you may be not so familiar with using the terminal. But if you installed Docker (Docker Toolbox), you'll have Docker Quickstart Terminal as part of you installation. So, just as above, you'll run Docker Quickstart Terminal and type wharfee into your command prompt. After you hit Enter, you'll see wharfee prompt:

wharfee>

What are you using?

Can I contribute?

Yes! Pull request or issues are welcome.

How do you test it?

First, install the requirements for testing:

$ pip install -r requirements-dev.txt

There are unit tests under tests. The command to run them is:

$ py.test

Additionally, there are integration tests, that can be run with:

$ cd tests
$ behave

To see stdout/stderr, use the following command:

$ behave --no-capture

To enter debugger on error, use the following command:

$ behave -D DEBUG_ON_ERROR

Thanks

I develop with PyCharm