.. image:: https://raw.githubusercontent.com/amoffat/sh/master/images/logo-230.png
:target: https://amoffat.github.com/sh
:alt: Logo
.. image:: https://img.shields.io/pypi/v/sh.svg?style=flat-square
:target: https://pypi.python.org/pypi/sh
:alt: Version
.. image:: https://img.shields.io/pypi/dm/sh.svg?style=flat-square
:target: https://pypi.python.org/pypi/sh
:alt: Downloads Status
.. image:: https://img.shields.io/pypi/pyversions/sh.svg?style=flat-square
:target: https://pypi.python.org/pypi/sh
:alt: Python Versions
.. image:: https://img.shields.io/coveralls/amoffat/sh.svg?style=flat-square
:target: https://coveralls.io/r/amoffat/sh?branch=master
:alt: Coverage Status
|
sh is a full-fledged subprocess replacement for Python 3.10 - 3.14, and PyPy
that allows you to call *any* program as if it were a function:
.. code:: python
from sh import git
print(git("status", "--short"))
sh is *not* a collection of system commands implemented in Python.
sh relies on various Unix system calls and only works on Unix-like operating
systems - Linux, macOS, BSDs etc. Specifically, Windows is not supported.
`Complete documentation here `_
`Full documentation on a single page for LLM-assisted coding here `_
Installation
============
::
$> pip install sh
Support
=======
* `Andrew Moffat `_ - author/maintainer
Developers
==========
Open the repo in a devcontainer in VScode, or in a codespace on Github.
.. image:: https://github.com/codespaces/badge.svg
:target: https://codespaces.new/amoffat/sh
:alt: Open in GitHub Codespaces
Testing
-------
Tests are run by tox against all supported Python versions. To run, make the following target::
$> make test
To run a single test::
$> make test='FunctionalTests.test_background' test_one
Docs
----
To build the docs, make sure you've run ``poetry install`` to install the dev dependencies, then::
$> cd docs
$> make html
This will generate the docs in ``docs/build/html``. You can open the ``index.html`` file in your browser to view the docs.
Coverage
--------
First run all of the tests::
$> SH_TESTS_RUNNING=1 coverage run --source=sh -m pytest
This will aggregate a ``.coverage``. You may then visualize the report with::
$> coverage report
Or generate visual html files with::
$> coverage html
Which will create ``./htmlcov/index.html`` that you may open in a web browser.