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.. _tutorial-testing:
Bonus: Testing the Application
==============================
Now that you have finished the application and everything works as
expected, it's probably not a bad idea to add automated tests to simplify
modifications in the future. The application above is used as a basic
example of how to perform unit testing in the :ref:`testing` section of the
documentation. Go there to see how easy it is to test Flask applications.
Adding Tests to flaskr
======================
Assuming you have seen the testing section above and have either written
your own tests for ``flaskr`` or have followed along with the examples
provided, you might be wondering about ways to organize the project.
One possible and recommended project structure is::
flaskr/
flaskr/
__init__.py
static/
templates/
tests/
context.py
test_flaskr.py
setup.py
MANIFEST.in
For now go ahead a create the :file:`tests/` directory as well as the
:file:`context.py` and :file:`test_flaskr.py` files, if you haven't
already. The context file is used as an import helper. The contents
of that file are::
import sys, os
basedir = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, basedir + '/../')
from flaskr import flaskr
Testing + Setuptools
====================
One way to handle testing is to integrate it with ``setuptools``. All it
requires is adding a couple of lines to the :file:`setup.py` file and
creating a new file :file:`setup.cfg`. Go ahead and update the
:file:`setup.py` to contain::
from setuptools import setup
setup(
name='flaskr',
packages=['flaskr'],
include_package_data=True,
install_requires=[
'flask',
],
)
setup_requires=[
'pytest-runner',
],
tests_require=[
'pytest',
],
)
Now create :file:`setup.cfg` in the project root (alongside
:file:`setup.py`)::
[aliases]
test=pytest
Now you can run::
python setup.py test
This calls on the alias created in :file:`setup.cfg` which in turn runs
``pytest`` via ``pytest-runner``, as the :file:`setup.py` script has
been called. (Recall the `setup_requires` argument in :file:`setup.py`)
Following the standard rules of test-discovery your tests will be
found, run, and hopefully pass.
This is one possible way to run and manage testing. Here ``pytest`` is
used, but there are other options such as ``nose``. Integrating testing
with ``setuptools`` is convenient because it is not necessary to actually
download ``pytest`` or any other testing framework one might use.