===========
pytest-mock
===========
This plugin provides a ``mocker`` fixture which is a thin-wrapper around the patching API
provided by the `mock package `_:
.. code-block:: python
import os
class UnixFS:
@staticmethod
def rm(filename):
os.remove(filename)
def test_unix_fs(mocker):
mocker.patch('os.remove')
UnixFS.rm('file')
os.remove.assert_called_once_with('file')
Besides undoing the mocking automatically after the end of the test, it also provides other
nice utilities such as ``spy`` and ``stub``, and uses pytest introspection when
comparing calls.
|python| |version| |anaconda| |ci| |coverage| |black|
.. |version| image:: http://img.shields.io/pypi/v/pytest-mock.svg
:target: https://pypi.python.org/pypi/pytest-mock
.. |anaconda| image:: https://img.shields.io/conda/vn/conda-forge/pytest-mock.svg
:target: https://anaconda.org/conda-forge/pytest-mock
.. |ci| image:: https://github.com/pytest-dev/pytest-mock/workflows/build/badge.svg
:target: https://github.com/pytest-dev/pytest-mock/actions
.. |coverage| image:: https://coveralls.io/repos/github/pytest-dev/pytest-mock/badge.svg?branch=master
:target: https://coveralls.io/github/pytest-dev/pytest-mock?branch=master
.. |python| image:: https://img.shields.io/pypi/pyversions/pytest-mock.svg
:target: https://pypi.python.org/pypi/pytest-mock/
.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/ambv/black
`Professionally supported pytest-mock is now available `_
Usage
=====
The ``mocker`` fixture has the same API as
`mock.patch `_,
supporting the same arguments:
.. code-block:: python
def test_foo(mocker):
# all valid calls
mocker.patch('os.remove')
mocker.patch.object(os, 'listdir', autospec=True)
mocked_isfile = mocker.patch('os.path.isfile')
The supported methods are:
* `mocker.patch `_
* `mocker.patch.object `_
* `mocker.patch.multiple `_
* `mocker.patch.dict `_
* `mocker.stopall `_
* ``mocker.resetall()``: calls `reset_mock() `_ in all mocked objects up to this point.
Also, as a convenience, these names from the ``mock`` module are accessible directly from ``mocker``:
* `Mock `_
* `MagicMock `_
* `PropertyMock `_
* `ANY `_
* `DEFAULT `_ *(Version 1.4)*
* `call `_ *(Version 1.1)*
* `sentinel `_ *(Version 1.2)*
* `mock_open `_
Spy
---
The ``mocker.spy`` object acts exactly like the original method in all cases, except the spy
also tracks method calls, return values and exceptions raised.
.. code-block:: python
def test_spy(mocker):
class Foo(object):
def bar(self, v):
return v * 2
foo = Foo()
spy = mocker.spy(foo, 'bar')
assert foo.bar(21) == 42
spy.assert_called_once_with(21)
assert spy.spy_return == 42
The object returned by ``mocker.spy`` is a ``MagicMock`` object, so all standard checking functions
are available (like ``assert_called_once_with`` in the example above).
In addition, spy objects contain two extra attributes:
* ``spy_return``: contains the returned value of the spied function.
* ``spy_exception``: contain the last exception value raised by the spied function/method when
it was last called, or ``None`` if no exception was raised.
``mocker.spy`` also works for class and static methods.
.. note::
In versions earlier than ``2.0``, the attributes were called ``return_value`` and
``side_effect`` respectively, but due to incompatibilities with ``unittest.mock``
they had to be renamed (see `#175`_ for details).
.. _#175: https://github.com/pytest-dev/pytest-mock/issues/175
Stub
----
The stub is a mock object that accepts any arguments and is useful to test callbacks.
It may receive an optional name that is shown in its ``repr``, useful for debugging.
.. code-block:: python
def test_stub(mocker):
def foo(on_something):
on_something('foo', 'bar')
stub = mocker.stub(name='on_something_stub')
foo(stub)
stub.assert_called_once_with('foo', 'bar')
Improved reporting of mock call assertion errors
------------------------------------------------
This plugin monkeypatches the mock library to improve pytest output for failures
of mock call assertions like ``Mock.assert_called_with()`` by hiding internal traceback
entries from the ``mock`` module.
It also adds introspection information on differing call arguments when
calling the helper methods. This features catches `AssertionError` raised in
the method, and uses py.test's own `advanced assertions`_ to return a better
diff::
mocker =
def test(mocker):
m = mocker.Mock()
m('fo')
> m.assert_called_once_with('', bar=4)
E AssertionError: Expected call: mock('', bar=4)
E Actual call: mock('fo')
E
E pytest introspection follows:
E
E Args:
E assert ('fo',) == ('',)
E At index 0 diff: 'fo' != ''
E Use -v to get the full diff
E Kwargs:
E assert {} == {'bar': 4}
E Right contains more items:
E {'bar': 4}
E Use -v to get the full diff
test_foo.py:6: AssertionError
========================== 1 failed in 0.03 seconds ===========================
This is useful when asserting mock calls with many/nested arguments and trying
to quickly see the difference.
This feature is probably safe, but if you encounter any problems it can be disabled in
your ``pytest.ini`` file:
.. code-block:: ini
[pytest]
mock_traceback_monkeypatch = false
Note that this feature is automatically disabled with the ``--tb=native`` option. The underlying
mechanism used to suppress traceback entries from ``mock`` module does not work with that option
anyway plus it generates confusing messages on Python 3.5 due to exception chaining
.. _advanced assertions: http://pytest.org/latest/assert.html
Use standalone "mock" package
-----------------------------
*New in version 1.4.0.*
Python 3 users might want to use a newest version of the ``mock`` package as published on PyPI
than the one that comes with the Python distribution.
.. code-block:: ini
[pytest]
mock_use_standalone_module = true
This will force the plugin to import ``mock`` instead of the ``unittest.mock`` module bundled with
Python 3.4+. Note that this option is only used in Python 3+, as Python 2 users only have the option
to use the ``mock`` package from PyPI anyway.
Note about usage as context manager
-----------------------------------
Although mocker's API is intentionally the same as ``mock.patch``'s, its use
as context manager and function decorator is **not** supported through the
fixture:
.. code-block:: python
def test_context_manager(mocker):
a = A()
with mocker.patch.object(a, 'doIt', return_value=True, autospec=True): # DO NOT DO THIS
assert a.doIt() == True
The purpose of this plugin is to make the use of context managers and
function decorators for mocking unnecessary.
Requirements
============
* Python 2.7, Python 3.4+
* pytest
* mock (for Python 2)
Install
=======
Install using `pip `_:
.. code-block:: console
$ pip install pytest-mock
Changelog
=========
Please consult the `changelog page`_.
.. _changelog page: https://github.com/pytest-dev/pytest-mock/blob/master/CHANGELOG.rst
Why bother with a plugin?
=========================
There are a number of different ``patch`` usages in the standard ``mock`` API,
but IMHO they don't scale very well when you have more than one or two
patches to apply.
It may lead to an excessive nesting of ``with`` statements, breaking the flow
of the test:
.. code-block:: python
import mock
def test_unix_fs():
with mock.patch('os.remove'):
UnixFS.rm('file')
os.remove.assert_called_once_with('file')
with mock.patch('os.listdir'):
assert UnixFS.ls('dir') == expected
# ...
with mock.patch('shutil.copy'):
UnixFS.cp('src', 'dst')
# ...
One can use ``patch`` as a decorator to improve the flow of the test:
.. code-block:: python
@mock.patch('os.remove')
@mock.patch('os.listdir')
@mock.patch('shutil.copy')
def test_unix_fs(mocked_copy, mocked_listdir, mocked_remove):
UnixFS.rm('file')
os.remove.assert_called_once_with('file')
assert UnixFS.ls('dir') == expected
# ...
UnixFS.cp('src', 'dst')
# ...
But this poses a few disadvantages:
- test functions must receive the mock objects as parameter, even if you don't plan to
access them directly; also, order depends on the order of the decorated ``patch``
functions;
- receiving the mocks as parameters doesn't mix nicely with pytest's approach of
naming fixtures as parameters, or ``pytest.mark.parametrize``;
- you can't easily undo the mocking during the test execution;
An alternative is to use ``contextlib.ExitStack`` to stack the context managers in a single level of indentation
to improve the flow of the test:
.. code-block:: python
import contextlib
import mock
def test_unix_fs():
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch('os.remove'))
UnixFS.rm('file')
os.remove.assert_called_once_with('file')
stack.enter_context(mock.patch('os.listdir'))
assert UnixFS.ls('dir') == expected
# ...
stack.enter_context(mock.patch('shutil.copy'))
UnixFS.cp('src', 'dst')
# ...
But this is arguably a little more complex than using ``pytest-mock``.
Contributing
============
Contributions are welcome! After cloning the repository, create a virtual env
and install ``pytest-mock`` in editable mode with ``dev`` extras:
.. code-block:: console
$ pip install --editable .[dev]
$ pre-commit install
Tests are run with ``tox``, you can run the baseline environments before submitting a PR:
.. code-block:: console
$ tox -e py27,py36,linting
Style checks and formatting are done automatically during commit courtesy of
`pre-commit `_.
License
=======
Distributed under the terms of the `MIT`_ license.
Security contact information
============================
To report a security vulnerability, please use the `Tidelift security contact `__. Tidelift will coordinate the fix and disclosure.
.. _MIT: https://github.com/pytest-dev/pytest-mock/blob/master/LICENSE