Installation and Getting Started
===================================

**Pythons**: Python 2.6,2.7,3.3,3.4,3.5, Jython, PyPy-2.3

**Platforms**: Unix/Posix and Windows

**PyPI package name**: `pytest <http://pypi.python.org/pypi/pytest>`_

**dependencies**: `py <http://pypi.python.org/pypi/py>`_,
`colorama (Windows) <http://pypi.python.org/pypi/colorama>`_,
`argparse (py26) <http://pypi.python.org/pypi/argparse>`_.

**documentation as PDF**: `download latest <https://media.readthedocs.org/pdf/pytest/latest/pytest.pdf>`_

.. _`getstarted`:
.. _installation:

Installation
----------------------------------------

Installation::

    pip install -U pytest

To check your installation has installed the correct version::

    $ pytest --version
    This is pytest version 3.0.3, imported from $PYTHON_PREFIX/lib/python3.5/site-packages/pytest.py

.. _`simpletest`:

Our first test run
----------------------------------------------------------

Let's create a first test file with a simple test function::

    # content of test_sample.py
    def func(x):
        return x + 1

    def test_answer():
        assert func(3) == 5

That's it. You can execute the test function now::

    $ pytest
    ======= test session starts ========
    platform linux -- Python 3.5.2, pytest-3.0.3, py-1.4.31, pluggy-0.4.0
    rootdir: $REGENDOC_TMPDIR, inifile: 
    collected 1 items
    
    test_sample.py F
    
    ======= FAILURES ========
    _______ test_answer ________
    
        def test_answer():
    >       assert func(3) == 5
    E       assert 4 == 5
    E        +  where 4 = func(3)
    
    test_sample.py:5: AssertionError
    ======= 1 failed in 0.12 seconds ========

We got a failure report because our little ``func(3)`` call did not return ``5``.

.. note::

    You can simply use the ``assert`` statement for asserting test
    expectations.  pytest's :ref:`assert introspection` will intelligently
    report intermediate values of the assert expression freeing
    you from the need to learn the many names of `JUnit legacy methods`_.

.. _`JUnit legacy methods`: http://docs.python.org/library/unittest.html#test-cases

.. _`assert statement`: http://docs.python.org/reference/simple_stmts.html#the-assert-statement

Running multiple tests
----------------------------------------------------------

``pytest`` will run all files in the current directory and its subdirectories of the form test_*.py or \*_test.py. More generally, it follows :ref:`standard test discovery rules <test discovery>`.


Asserting that a certain exception is raised
--------------------------------------------------------------

If you want to assert that some code raises an exception you can
use the ``raises`` helper::

    # content of test_sysexit.py
    import pytest
    def f():
        raise SystemExit(1)

    def test_mytest():
        with pytest.raises(SystemExit):
            f()

Running it with, this time in "quiet" reporting mode::

    $ pytest -q test_sysexit.py
    .
    1 passed in 0.12 seconds

Grouping multiple tests in a class
--------------------------------------------------------------

Once you start to have more than a few tests it often makes sense
to group tests logically, in classes and modules.  Let's write a class
containing two tests::

    # content of test_class.py
    class TestClass:
        def test_one(self):
            x = "this"
            assert 'h' in x

        def test_two(self):
            x = "hello"
            assert hasattr(x, 'check')

The two tests are found because of the standard :ref:`test discovery`.
There is no need to subclass anything.  We can simply
run the module by passing its filename::

    $ pytest -q test_class.py
    .F
    ======= FAILURES ========
    _______ TestClass.test_two ________
    
    self = <test_class.TestClass object at 0xdeadbeef>
    
        def test_two(self):
            x = "hello"
    >       assert hasattr(x, 'check')
    E       assert False
    E        +  where False = hasattr('hello', 'check')
    
    test_class.py:8: AssertionError
    1 failed, 1 passed in 0.12 seconds

The first test passed, the second failed. Again we can easily see
the intermediate values used in the assertion, helping us to
understand the reason for the failure.

Going functional: requesting a unique temporary directory
--------------------------------------------------------------

For functional tests one often needs to create some files
and pass them to application objects.  pytest provides
:ref:`builtinfixtures` which allow to request arbitrary
resources, for example a unique temporary directory::

    # content of test_tmpdir.py
    def test_needsfiles(tmpdir):
        print (tmpdir)
        assert 0

We list the name ``tmpdir`` in the test function signature and
``pytest`` will lookup and call a fixture factory to create the resource
before performing the test function call.  Let's just run it::

    $ pytest -q test_tmpdir.py
    F
    ======= FAILURES ========
    _______ test_needsfiles ________
    
    tmpdir = local('PYTEST_TMPDIR/test_needsfiles0')
    
        def test_needsfiles(tmpdir):
            print (tmpdir)
    >       assert 0
    E       assert 0
    
    test_tmpdir.py:3: AssertionError
    --------------------------- Captured stdout call ---------------------------
    PYTEST_TMPDIR/test_needsfiles0
    1 failed in 0.12 seconds

Before the test runs, a unique-per-test-invocation temporary directory
was created.  More info at :ref:`tmpdir handling`.

You can find out what kind of builtin :ref:`fixtures` exist by typing::

    pytest --fixtures   # shows builtin and custom fixtures

Where to go next
-------------------------------------

Here are a few suggestions where to go next:

* :ref:`cmdline` for command line invocation examples
* :ref:`good practices <goodpractices>` for virtualenv, test layout
* :ref:`fixtures` for providing a functional baseline to your tests
* :ref:`plugins` managing and writing plugins

.. include:: links.inc