Metadata-Version: 2.0
Name: cosmic-ray
Version: 2.0.2
Summary: Mutation testing
Home-page: http://github.com/sixty-north/cosmic-ray
Author: Sixty North AS
Author-email: austin@sixty-north.com
License: MIT License
Keywords: testing
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Testing
Requires-Dist: astunparse
Requires-Dist: celery (<4)
Requires-Dist: decorator
Requires-Dist: docopt-subcommands (>=2.3.0)
Requires-Dist: nose
Requires-Dist: pathlib
Requires-Dist: pytest (>=3.0)
Requires-Dist: stevedore
Requires-Dist: tinydb (>=3.2.1)
Requires-Dist: transducer
Provides-Extra: test
Requires-Dist: hypothesis; extra == 'test'

|Python version| |Build Status| |Code Health| |Documentation|

=======================================
Cosmic Ray: mutation testing for Python
=======================================

*"Four human beings -- changed by space-born cosmic rays into something
more than merely human."* *— The Fantastic Four*

Cosmic Ray is a mutation testing tool for Python 3.

Cosmic Ray is still learning how to walk!
=========================================

At this time Cosmic Ray is young and incomplete. It doesn't support all
of the mutations it should, its output format is crude, it only supports
some forms of test discovery, it may fall over on exotic
modules...\ `the list goes on and
on <https://github.com/sixty-north/cosmic-ray/issues>`__. Still, for the
adventurous it *does* work. Hopefully things will improve fairly
rapidly.

And, of course, patches and ideas are welcome.

The short version
=================

If you just want to get down to the business of finding and killing
mutants, you still need to set a few things up.

Install Cosmic Ray
------------------

First install Cosmic Ray. You can do this with ``pip``:

::

    pip install cosmic_ray

or from source:

::

    python setup.py install

We recommend installing Cosmic Ray into a virtual environment. Often it
makes sense to install it into the virtual environment of the package
you want to test.

Create a session and run tests
------------------------------

Now you're ready to start killing mutants. Cosmic Ray uses a notion of
*sessions* to encompass a full mutation testing suite. Since mutation
testing runs can take a long time, and since you might need to stop and
start them, sessions store data about the progress of a run. The first
step in a full testing run, then, is to initialize a session:

::

    cosmic-ray init --baseline=10 <session name> <top module name> -- <test directory>

This will create a database file called ``<session name>.json``. Once
this is created, you can start executing tests with the ``exec``
command:

::

    cosmic-ray exec <session name>

Unless there are errors, this won't print anything.

View the results

Once the execution is complete (i.e., all mutations have been performed
and tested), you can see the results of your session with the
``cr-report`` command:

::

    cosmic-ray dump <session name> | cr-report

This will print out a bunch of information about the work that was
performed, including what kinds of mutants were created, which were
killed, and – chillingly – which survived.

Distributed testing with Celery
-------------------------------

By default Cosmic Ray does all of its testing locally and serially,
running only one test suite at a time. This can be too slow for many
real-world testing scenarios. To help speed things up, Cosmic Ray
supports distributed mutation testing using
`Celery <http://www.celeryproject.org/>`__ to send work to more than one
machine. This is more complex to set up, but it makes mutation testing
practical for a wider range of projects.

To run Cosmic Ray in distributed mode, you first need to install
`RabbitMQ <https://www.rabbitmq.com/>`__. Cosmic Ray uses this message
queue (via Celery) to distribute testing tasks. Once installed, start
the RabbitMQ server. This is very platform-specific, so see the
instructions for RabbitMQ on how to do this.

Once RabbitMQ is running, you need to start one or more Cosmic Ray
worker tasks to listen for commmands on the queue. Start a worker like
this:

::

    celery -A cosmic_ray.tasks.worker worker

You can start as many workers as you want. Be aware that these workers -
and the processes they spawn - need to be able to import the modules you
want to test. As a result, you generally want to start them in the
virtual environment into which you've installed Cosmic Ray.

Also remember that the workers need to be able to find and execute the
tests as expressed to the ``init`` command. In other words, if you used
``cosmic-ray init . . . -- tests`` to initialize a session, the test
loader (whether local or distributed) will look for tests in the
``test`` directory. So you need to make sure that the worker processes
are running in directory where this makes sense.

Finally, once the worker(s) are running you need to use the ``--dist``
flag when you run ``cosmic-ray exec``:

::

    cosmic-ray exec --dist

Note that all of the other Cosmic Ray commands --- ``init``, ``report``,
etc. --- don't need the ``--dist`` flag; only ``exec`` and ``run`` use
it.

`Further documentation is available at readthedocs
<http://cosmic-ray.readthedocs.org/en/latest/>`__.

.. |Python version| image:: https://img.shields.io/badge/Python_version-3.4+-blue.svg
   :target: https://www.python.org/
.. |Build Status| image:: https://travis-ci.org/sixty-north/cosmic-ray.png?branch=master
   :target: https://travis-ci.org/sixty-north/cosmic-ray
.. |Code Health| image:: https://landscape.io/github/sixty-north/cosmic-ray/master/landscape.svg?style=flat
   :target: https://landscape.io/github/sixty-north/cosmic-ray/master
.. |Documentation| image:: https://readthedocs.org/projects/cosmic-ray/badge/?version=latest
   :target: http://cosmic-ray.readthedocs.org/en/latest/


