pretend

pretend

.. image:: https://secure.travis-ci.org/alex/pretend.png :target: https://travis-ci.org/alex/pretend

Pretend is a library to make stubbing with Python easier.

What is stubbing?

Stubbing is a technique for writing tests. You may hear the term mixed up with mocks, fakes, or doubles. Basically a stub is an object that returns pre-canned responses, rather than doing any computation.

Martin Fowler does a good job explaining the terms in his Mocks Aren't Stubs_ article.

.. _Mocks Aren't Stubs: http://martinfowler.com/articles/mocksArentStubs.html

How do I install pretend?

It's easy with pip!

.. code:: bash

$ pip install pretend

How do I use pretend?

It's easy, the stub function makes it easy to create a stub:

.. code:: pycon

>>> from pretend import stub
>>> x = stub(country_code="US")
>>> some_function(x)

Here x will be an object with a single attribute country_code which has the value "US". Unlike mocks, x will not respond to any other attribute or methods, nor does it have any methods for making assertions about what you accessed.

If you want to add a method to the stub, simply provide a function to it:

.. code:: pycon

>>> from pretend import stub
>>> x = stub(country_code=lambda: "US")
>>> x.country_code()
'US'

It's important to note that functions on stubs do not take a self argument, this is because stubs should be returning pre-canned values, not doing computations.

Exceptions with pretend

Sometimes a method you want to stub doesn't return a value, but instead raises an exception. To make this easy, pretend provides a helper function, raiser, it can be used like so:

.. code:: pycon

>>> from pretend import stub, raiser
>>> x = stub(func=raiser(ValueError))
>>> x.func()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pretend.py", line 74, in inner
    raise exc
ValueError

Why is stubbing better?

Ideally stubbing tests how your system responds to a particular input, rather than which API is used. Stubbing still requires you to write tests that check the results of a computation, rather than looking for side effects. This doesn't always work though, so you do sometimes still need mocking (e.g. sometimes you really want to check for a side effect.)

How do I get my stub into place?

If you come from other mocking libraries you're probably used to a patch method to put a mock in place. pretend doesn't include anything like this, a) we believe it's better, where possible, to pass stubs as arguments rather than monkey patch them into place, b) we believe that when you do need to monkey patch something into place you should use something provided by your testing tool. py.test includes such a tool_.

.. _such a tool: http://pytest.org/latest/monkeypatch.html

What if I really need to record the calls?

If you really really need to, pretend includes a call_recorder utility:

.. code:: pycon

>>> from pretend import call_recorder, call
>>> f = call_recorder(lambda a: a + 2)
>>> f(3)
5
>>> assert f.calls == [call(3)]

Who wrote this?

pretend is by Alex Gaynor, who was just tired of not having a good stubbing tool for Python. The name is from Idan Gazit.