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381 lines
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381 lines
12 KiB
Plaintext
Metadata-Version: 2.1
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Name: pytest-mock
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Version: 1.10.3
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Summary: Thin-wrapper around the mock package for easier use with py.test
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Home-page: https://github.com/pytest-dev/pytest-mock/
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Author: Bruno Oliveira
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Author-email: nicoddemus@gmail.com
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License: MIT
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Keywords: pytest mock
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Platform: any
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Framework :: Pytest
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Topic :: Software Development :: Testing
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Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
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Requires-Dist: pytest (>=2.7)
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Requires-Dist: mock ; python_version < "3.0"
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Provides-Extra: dev
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Requires-Dist: pre-commit ; extra == 'dev'
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Requires-Dist: tox ; extra == 'dev'
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===========
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pytest-mock
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===========
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This plugin installs a ``mocker`` fixture which is a thin-wrapper around the patching API
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provided by the `mock package <http://pypi.python.org/pypi/mock>`_,
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but with the benefit of not having to worry about undoing patches at the end
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of a test:
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.. code-block:: python
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import os
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class UnixFS:
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@staticmethod
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def rm(filename):
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os.remove(filename)
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def test_unix_fs(mocker):
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mocker.patch('os.remove')
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UnixFS.rm('file')
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os.remove.assert_called_once_with('file')
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|python| |version| |anaconda| |ci| |appveyor| |coverage| |black|
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.. |version| image:: http://img.shields.io/pypi/v/pytest-mock.svg
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:target: https://pypi.python.org/pypi/pytest-mock
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.. |anaconda| image:: https://img.shields.io/conda/vn/conda-forge/pytest-mock.svg
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:target: https://anaconda.org/conda-forge/pytest-mock
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.. |ci| image:: http://img.shields.io/travis/pytest-dev/pytest-mock.svg
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:target: https://travis-ci.org/pytest-dev/pytest-mock
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.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/pid1t7iuwhkm9eh6/branch/master?svg=true
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:target: https://ci.appveyor.com/project/pytestbot/pytest-mock
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.. |coverage| image:: http://img.shields.io/coveralls/pytest-dev/pytest-mock.svg
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:target: https://coveralls.io/r/pytest-dev/pytest-mock
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.. |python| image:: https://img.shields.io/pypi/pyversions/pytest-mock.svg
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:target: https://pypi.python.org/pypi/pytest-mock/
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.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
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:target: https://github.com/ambv/black
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`Professionally supported pytest-mock is now available <https://tidelift.com/subscription/pkg/pypi-pytest_mock?utm_source=pypi-pytest-mock&utm_medium=referral&utm_campaign=readme>`_
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Usage
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=====
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The ``mocker`` fixture has the same API as
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`mock.patch <https://docs.python.org/3/library/unittest.mock.html#patch>`_,
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supporting the same arguments:
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.. code-block:: python
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def test_foo(mocker):
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# all valid calls
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mocker.patch('os.remove')
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mocker.patch.object(os, 'listdir', autospec=True)
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mocked_isfile = mocker.patch('os.path.isfile')
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The supported methods are:
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* `mocker.patch <https://docs.python.org/3/library/unittest.mock.html#patch>`_
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* `mocker.patch.object <https://docs.python.org/3/library/unittest.mock.html#patch-object>`_
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* `mocker.patch.multiple <https://docs.python.org/3/library/unittest.mock.html#patch-multiple>`_
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* `mocker.patch.dict <https://docs.python.org/3/library/unittest.mock.html#patch-dict>`_
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* `mocker.stopall <https://docs.python.org/3/library/unittest.mock.html#unittest.mock.patch.stopall>`_
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* ``mocker.resetall()``: calls `reset_mock() <https://docs.python.org/3/library/unittest.mock.html#unittest.mock.Mock.reset_mock>`_ in all mocked objects up to this point.
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These objects from the ``mock`` module are accessible directly from ``mocker`` for convenience:
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* `Mock <https://docs.python.org/3/library/unittest.mock.html#unittest.mock.Mock>`_
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* `MagicMock <https://docs.python.org/3/library/unittest.mock.html#unittest.mock.MagicMock>`_
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* `PropertyMock <https://docs.python.org/3/library/unittest.mock.html#unittest.mock.PropertyMock>`_
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* `ANY <https://docs.python.org/3/library/unittest.mock.html#any>`_
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* `DEFAULT <https://docs.python.org/3/library/unittest.mock.html#default>`_ *(Version 1.4)*
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* `call <https://docs.python.org/3/library/unittest.mock.html#call>`_ *(Version 1.1)*
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* `sentinel <https://docs.python.org/3/library/unittest.mock.html#sentinel>`_ *(Version 1.2)*
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* `mock_open <https://docs.python.org/3/library/unittest.mock.html#mock-open>`_
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Spy
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---
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The spy acts exactly like the original method in all cases, except it allows use of `mock`
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features with it, like retrieving call count. It also works for class and static methods.
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.. code-block:: python
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def test_spy(mocker):
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class Foo(object):
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def bar(self):
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return 42
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foo = Foo()
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mocker.spy(foo, 'bar')
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assert foo.bar() == 42
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assert foo.bar.call_count == 1
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Stub
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----
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The stub is a mock object that accepts any arguments and is useful to test callbacks, for instance.
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May be passed a name to be used by the constructed stub object in its repr (useful for debugging).
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.. code-block:: python
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def test_stub(mocker):
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def foo(on_something):
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on_something('foo', 'bar')
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stub = mocker.stub(name='on_something_stub')
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foo(stub)
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stub.assert_called_once_with('foo', 'bar')
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Improved reporting of mock call assertion errors
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------------------------------------------------
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This plugin monkeypatches the mock library to improve pytest output for failures
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of mock call assertions like ``Mock.assert_called_with()`` by hiding internal traceback
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entries from the ``mock`` module.
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It also adds introspection information on differing call arguments when
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calling the helper methods. This features catches `AssertionError` raised in
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the method, and uses py.test's own `advanced assertions`_ to return a better
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diff::
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mocker = <pytest_mock.MockFixture object at 0x0381E2D0>
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def test(mocker):
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m = mocker.Mock()
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m('fo')
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> m.assert_called_once_with('', bar=4)
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E AssertionError: Expected call: mock('', bar=4)
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E Actual call: mock('fo')
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E
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E pytest introspection follows:
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E
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E Args:
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E assert ('fo',) == ('',)
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E At index 0 diff: 'fo' != ''
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E Use -v to get the full diff
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E Kwargs:
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E assert {} == {'bar': 4}
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E Right contains more items:
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E {'bar': 4}
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E Use -v to get the full diff
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test_foo.py:6: AssertionError
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========================== 1 failed in 0.03 seconds ===========================
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This is useful when asserting mock calls with many/nested arguments and trying
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to quickly see the difference.
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This feature is probably safe, but if you encounter any problems it can be disabled in
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your ``pytest.ini`` file:
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.. code-block:: ini
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[pytest]
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mock_traceback_monkeypatch = false
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Note that this feature is automatically disabled with the ``--tb=native`` option. The underlying
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mechanism used to suppress traceback entries from ``mock`` module does not work with that option
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anyway plus it generates confusing messages on Python 3.5 due to exception chaining
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.. _advanced assertions: http://pytest.org/latest/assert.html
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Use standalone "mock" package
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-----------------------------
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*New in version 1.4.0.*
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Python 3 users might want to use a newest version of the ``mock`` package as published on PyPI
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than the one that comes with the Python distribution.
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.. code-block:: ini
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[pytest]
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mock_use_standalone_module = true
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This will force the plugin to import ``mock`` instead of the ``unittest.mock`` module bundled with
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Python 3.4+. Note that this option is only used in Python 3+, as Python 2 users only have the option
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to use the ``mock`` package from PyPI anyway.
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Requirements
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============
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* Python 2.7, Python 3.4+
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* pytest
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* mock (for Python 2)
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Install
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=======
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Install using `pip <http://pip-installer.org/>`_:
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.. code-block:: console
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$ pip install pytest-mock
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Changelog
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=========
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Please consult the `changelog page`_.
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.. _changelog page: https://github.com/pytest-dev/pytest-mock/blob/master/CHANGELOG.rst
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Why bother with a plugin?
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=========================
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There are a number of different ``patch`` usages in the standard ``mock`` API,
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but IMHO they don't scale very well when you have more than one or two
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patches to apply.
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It may lead to an excessive nesting of ``with`` statements, breaking the flow
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of the test:
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.. code-block:: python
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import mock
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def test_unix_fs():
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with mock.patch('os.remove'):
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UnixFS.rm('file')
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os.remove.assert_called_once_with('file')
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with mock.patch('os.listdir'):
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assert UnixFS.ls('dir') == expected
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# ...
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with mock.patch('shutil.copy'):
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UnixFS.cp('src', 'dst')
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# ...
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One can use ``patch`` as a decorator to improve the flow of the test:
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.. code-block:: python
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@mock.patch('os.remove')
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@mock.patch('os.listdir')
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@mock.patch('shutil.copy')
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def test_unix_fs(mocked_copy, mocked_listdir, mocked_remove):
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UnixFS.rm('file')
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os.remove.assert_called_once_with('file')
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assert UnixFS.ls('dir') == expected
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# ...
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UnixFS.cp('src', 'dst')
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# ...
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But this poses a few disadvantages:
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- test functions must receive the mock objects as parameter, even if you don't plan to
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access them directly; also, order depends on the order of the decorated ``patch``
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functions;
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- receiving the mocks as parameters doesn't mix nicely with pytest's approach of
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naming fixtures as parameters, or ``pytest.mark.parametrize``;
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- you can't easily undo the mocking during the test execution;
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**Note about usage as context manager**
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Although mocker's API is intentionally the same as ``mock.patch``'s, its use
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as context manager and function decorator is **not** supported through the
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fixture. The purpose of this plugin is to make the use of context managers and
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function decorators for mocking unnecessary. Indeed, trying to use the
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functionality in ``mocker`` in this manner can lead to non-intuitive errors:
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.. code-block:: python
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def test_context_manager(mocker):
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a = A()
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with mocker.patch.object(a, 'doIt', return_value=True, autospec=True):
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assert a.doIt() == True
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.. code-block:: console
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================================== FAILURES ===================================
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____________________________ test_context_manager _____________________________
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in test_context_manager
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with mocker.patch.object(a, 'doIt', return_value=True, autospec=True):
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E AttributeError: __exit__
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You can however use ``mocker.mock_module`` to access the underlying ``mock``
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module, e.g. to return a context manager in a fixture that mocks something
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temporarily:
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.. code-block:: python
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@pytest.fixture
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def fixture_cm(mocker):
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@contextlib.contextmanager
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def my_cm():
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def mocked():
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pass
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with mocker.mock_module.patch.object(SomeClass, 'method', mocked):
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yield
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return my_cm
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Contributing
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============
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Contributions are welcome! After cloning the repository, create a virtual env
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and install ``pytest-mock`` in editable mode with ``dev`` extras:
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.. code-block:: console
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$ pip install --editable .[dev]
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$ pre-commit install
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Tests are run with ``tox``, you can run the baseline environments before submitting a PR:
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.. code-block:: console
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$ tox -e py27,py36,linting
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Style checks and formatting are done automatically during commit courtesy of
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`pre-commit <https://pre-commit.com>`_.
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License
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=======
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Distributed under the terms of the `MIT`_ license.
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.. _MIT: https://github.com/pytest-dev/pytest-mock/blob/master/LICENSE
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