Metadata-Version: 2.1
Name: calleee
Version: 0.4.0
Summary: Argument matchers for unittest.mock
Home-page: https://github.com/untidy-hair/calleee
Author: Karol Kuczmarski
License: BSD
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Testing
Description-Content-Type: text/x-rst
License-File: LICENSE

calleee
=======

Argument matchers for *unittest.mock*

|Version| |Development Status| |Python Versions| |License| |Build Status|

.. |Version| image:: https://img.shields.io/pypi/v/calleee.svg?style=flat
    :target: https://pypi.python.org/pypi/calleee
    :alt: Version
.. |Development Status| image:: https://img.shields.io/pypi/status/calleee.svg?style=flat
    :target: https://pypi.python.org/pypi/calleee/
    :alt: Development Status
.. |Python Versions| image:: https://img.shields.io/pypi/pyversions/calleee.svg?style=flat
    :target: https://pypi.python.org/pypi/calleee
    :alt: Python versions
.. |License| image:: https://img.shields.io/pypi/l/calleee.svg?style=flat
    :target: https://github.com/untidy-hair/calleee/blob/master/LICENSE
    :alt: License
.. |Build Status| image:: https://img.shields.io/travis/untidy-hair/calleee.svg?style=flat
    :target: https://travis-ci.org/untidy-hair/calleee
    :alt: Build Status


More robust tests
~~~~~~~~~~~~~~~~~

Python's `mocking library`_ (or its `backport`_ for Python <3.3) is simple, reliable, and easy to use.
But it is also a little lacking when it comes to asserting what calls a mock has received.

You can be either very specific::

    my_mock.assert_called_once_with(42, some_foo_object, 'certain string')

or extremely general::

    my_mock.assert_called_with(ANY, ANY, ANY)
    # passes as long as argument count is the same

| The former can make your tests over-specified, and thus fragile.
| The latter could make them too broad, missing some erroneous cases and possibly letting your code fail in production.

----

*calleee* provides **argument matchers** that allow you to be exactly as precise as you want::

    my_mock.assert_called_with(GreaterThan(0), InstanceOf(Foo), String())

without tedious, handcrafted, and poorly readable code that checks ``call_args`` or ``call_args_list``::

    self.assertGreater(mock.call_args[0][0], 0)
    self.assertIsInstance(mock.call_args[0][1], Foo)
    self.assertIsInstance(mock.call_args[0][2], str)

It has plenty of matcher types to fit all common and uncommon needs, and you can easily write your own if necessary.

.. _mocking library: https://docs.python.org/3/library/unittest.mock.html
.. _backport: https://pypi.python.org/pypi/mock


Installation
~~~~~~~~~~~~

Installing *calleee* is easy with pip::

    $ pip install calleee

| *calleee* supports Python 2.7, 3.6+.


API reference
~~~~~~~~~~~~~

See the `documentation`_ for complete reference on the library usage and all available matchers.

.. _documentation: http://calleee.readthedocs.org


Contributing
~~~~~~~~~~~~

Contributions are welcome!
If you need ideas, head to the issue tracker or search for the various ``TODO``\ s scattered around the codebase.
Or just think what matchers you'd like to add :)

After cloning the repository, this should get you up and running::

    # ... create virtualenv as necessary ...
    pip install -r requirements-dev.txt
    tox

To regenerate documentation and display it in the browser, simply run::

    inv docs

Happy hacking!


