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New repository is here: https://github.com/ATCode-space/python-shell

Python Shell Wrapper Library

A flexible, easy-to-use library to integrate your Python script with Unix ecosystems.

Why yet another one?

This library comes with a few major points to use it:

• It is easy and intuitive (see examples)
• It's compatible with Python 2 (can be useful in old large systems)
• Continuous support of the library

Getting started

This library is pretty easy to use:

from python_shell import Shell
from python_shell.util.streaming import decode_stream

Shell.ls('-l', '$HOME')  # Equals "ls -l $HOME"

command = Shell.whoami()  # Equals "whoami"
print(command)  # Prints representation of command in shell

print(command.command)  # prints "whoami"
print(repr(command))  # Does the same as above

print(command.return_code)  # prints "0"
print(command.arguments)  # prints ""

print(decode_stream(command.output)) # Prints out command's stdout
print(decode_stream(command.errors)) # Prints out command's stderr

To run any Bash command, you need to do it like this:

Shell.<bash_command_name>(<bash command parameters>)

For example, you want to create a new folder:

Shell.mkdir('-p', '/tmp/new_folder')

It's also possible to run a command which name is not a valid Python identifier. To do this, use Shell class as a callable instance:

command = Shell('2to3')

When the command fails (returncode is non-zero), Shell throws a ShellException error. However, even if you didn't save a reference to your command, you still can access it. To do this, try

last_cmd = Shell.last_command

Installing

Simply run

pip install python-shell

Integration with development tools

Shell class now allows to list all available commands simply by

dir(Shell)

This feature enables autocomplete of commands in a few popular interfaces:

• BPython
• IPython

Extending the basic functionality

It's possible to extend the existing functionality without forking the project. The library provides an interface to add a custom Command class.

Running the tests

This library contains tests written using unittest module, so just run in the project directory

python -m unittest

Also it's possible to run tests using Tox:

tox -e <env>

Supported environments:

• py27
• py35
• py36
• py37
• py38
• coverage (using Python 3)
• coverage (using Python 2.7)
• pep8 (style checking)

Other old versions of Python (e.g. 2.6, 3.4, etc) will never be supported. However, you always can implement such support in your forks.

Test coverage is one of the top priority for this library:

• Coverage using Python 2.7: 98%
• Coverage using Python 3.x: 96%

Documentation

Official documentation is available here.

Authors

• Alex Sokolov - Author - Albartash

Contacts

• Telegram channel with updates: @bart_tools

License

This project is licensed under the MIT License - see the LICENSE.md file for details.