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===========================
05: Unit Tests and ``nose``
===========================
Provide unit testing for our project's Python code.
Background
==========
As the mantra says, "Untested code is broken code." The Python
community has had a long culture of writing test scripts which ensure
that your code works correctly as you write it and maintain it in the
future. Pyramid has always had a deep commitment to testing,
with 100% test coverage from the earliest pre-releases.
Python includes a
:ref:`unit testing framework <python:unittest-minimal-example>` in its
standard library. Over the years a number of Python projects, such as
`nose <https://pypi.python.org/pypi/nose/>`_, have extended this
framework with alternative test runners that provide more convenience
and functionality. The Pyramid developers use ``nose``, which we'll thus
use in this tutorial.
Don't worry, this tutorial won't be pedantic about "test-driven
development" (TDD.) We'll do just enough to ensure that, in each step,
we haven't majorly broken the code. As you're writing your code you
might find this more convenient than changing to your browser
constantly and clicking reload.
We'll also leave discussion of
`coverage <https://pypi.python.org/pypi/coverage>`_ for another section.
Objectives
==========
- Write unit tests that ensure the quality of our code
- Install a Python package (``nose``) which helps in our testing
Steps
=====
#. First we copy the results of the previous step, as well as install
the ``nose`` package:
.. code-block:: bash
(env)$ cd ..; cp -r debugtoolbar unit_testing; cd unit_testing
(env)$ python setup.py develop
(env)$ easy_install nose
#. Now we write a simple unit test in ``unit_testing/tutorial/tests.py``:
.. literalinclude:: unit_testing/tutorial/tests.py
:linenos:
#. Now run the tests:
.. code-block:: bash
(env)$ nosetests tutorial
.
----------------------------------------------------------------------
Ran 1 test in 0.141s
OK
Analysis
========
Our ``tests.py`` imports the Python standard unit testing framework. To
make writing Pyramid-oriented tests more convenient, Pyramid supplies
some ``pyramid.testing`` helpers which we use in the test setup and
teardown. Our one test imports the view, makes a dummy request, and sees
if the view returns what we expected.
The ``tests.HelloWorldViewTests.test_hello_world`` test is a small
example of a unit test. First, we import the view inside each test. Why
not import at the top, like in normal Python code? Because imports can
cause effects that break a test. We'd like our tests to be in *units*,
hence the name *unit* testing. Each test should isolate itself to the
correct degree.
Our test then makes a fake incoming web request, then calls our Pyramid
view. We test the HTTP status code on the response to make sure it
matches our expectations.
Note that our use of ``pyramid.testing.setUp()`` and
``pyramid.testing.tearDown()`` aren't actually necessary here; they are only
necessary when your test needs to make use of the ``config`` object (it's a
Configurator) to add stuff to the configuration state before calling the view.
Extra Credit
============
#. Change the test to assert that the response status code should be
``404`` (meaning, not found.) Run ``nosetests`` again. Read the
error report and see if you can decipher what it is telling you.
#. As a more realistic example, put the ``tests.py`` back as you found
it and put an error in your view, such as a reference to a
non-existing variable. Run the tests and see how this is more
convenient than reloading your browser and going back to your code.
#. Finally, for the most realistic test, read about Pyramid ``Response``
objects and see how to change the response code. Run the tests and
see how testing confirms the "contract" that your code claims to
support.
#. How could we add a unit test assertion to test the HTML value of the
response body?
#. Why do we import the ``hello_world`` view function *inside* the
``test_hello_world`` method instead of at the top of the module?
.. seealso:: See Also: :ref:`testing_chapter`
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