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- =================
- Testing in Django
- =================
- .. toctree::
- :hidden:
- overview
- doctests
- advanced
- Automated testing is an extremely useful bug-killing tool for the modern
- Web developer. You can use a collection of tests -- a **test suite** -- to
- solve, or avoid, a number of problems:
- * When you're writing new code, you can use tests to validate your code
- works as expected.
- * When you're refactoring or modifying old code, you can use tests to
- ensure your changes haven't affected your application's behavior
- unexpectedly.
- Testing a Web application is a complex task, because a Web application is made
- of several layers of logic -- from HTTP-level request handling, to form
- validation and processing, to template rendering. With Django's test-execution
- framework and assorted utilities, you can simulate requests, insert test data,
- inspect your application's output and generally verify your code is doing what
- it should be doing.
- The best part is, it's really easy.
- Unit tests v. doctests
- ======================
- There are two primary ways to write tests with Django, corresponding to the
- two test frameworks that ship in the Python standard library. The two
- frameworks are:
- * **Unit tests** -- tests that are expressed as methods on a Python class
- that subclasses :class:`unittest.TestCase` or Django's customized
- :class:`TestCase`. For example::
- import unittest
- class MyFuncTestCase(unittest.TestCase):
- def testBasic(self):
- a = ['larry', 'curly', 'moe']
- self.assertEqual(my_func(a, 0), 'larry')
- self.assertEqual(my_func(a, 1), 'curly')
- * **Doctests** -- tests that are embedded in your functions' docstrings and
- are written in a way that emulates a session of the Python interactive
- interpreter. For example::
- def my_func(a_list, idx):
- """
- >>> a = ['larry', 'curly', 'moe']
- >>> my_func(a, 0)
- 'larry'
- >>> my_func(a, 1)
- 'curly'
- """
- return a_list[idx]
- Which should I use?
- -------------------
- Because Django supports both of the standard Python test frameworks, it's up to
- you and your tastes to decide which one to use. You can even decide to use
- *both*.
- For developers new to testing, however, this choice can seem confusing. Here,
- then, are a few key differences to help you decide which approach is right for
- you:
- * If you've been using Python for a while, :mod:`doctest` will probably feel
- more "pythonic". It's designed to make writing tests as easy as possible,
- so it requires no overhead of writing classes or methods. You simply put
- tests in docstrings. This has the added advantage of serving as
- documentation (and correct documentation, at that!). However, while
- doctests are good for some simple example code, they are not very good if
- you want to produce either high quality, comprehensive tests or high
- quality documentation. Test failures are often difficult to debug
- as it can be unclear exactly why the test failed. Thus, doctests should
- generally be avoided and used primarily for documentation examples only.
- * The :mod:`unittest` framework will probably feel very familiar to
- developers coming from Java. :mod:`unittest` is inspired by Java's JUnit,
- so you'll feel at home with this method if you've used JUnit or any test
- framework inspired by JUnit.
- * If you need to write a bunch of tests that share similar code, then
- you'll appreciate the :mod:`unittest` framework's organization around
- classes and methods. This makes it easy to abstract common tasks into
- common methods. The framework also supports explicit setup and/or cleanup
- routines, which give you a high level of control over the environment
- in which your test cases are run.
- * If you're writing tests for Django itself, you should use :mod:`unittest`.
- Where to go from here
- =====================
- As unit tests are preferred in Django, we treat them in detail in the
- :doc:`overview` document.
- :doc:`doctests` describes Django-specific features when using doctests.
- You can also use any *other* Python test framework, Django provides an API and
- tools for that kind of integration. They are described in the
- :ref:`other-testing-frameworks` section of :doc:`advanced`.
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