.. _`captures`: Capturing of the stdout/stderr output ========================================================= Default stdout/stderr/stdin capturing behaviour --------------------------------------------------------- During test execution any output sent to ``stdout`` and ``stderr`` is captured. If a test or a setup method fails its according captured output will usually be shown along with the failure traceback. In addition, ``stdin`` is set to a "null" object which will fail on attempts to read from it because it is rarely desired to wait for interactive input when running automated tests. By default capturing is done by intercepting writes to low level file descriptors. This allows to capture output from simple print statements as well as output from a subprocess started by a test. Setting capturing methods or disabling capturing ------------------------------------------------- There are two ways in which ``py.test`` can perform capturing: * file descriptor (FD) level capturing (default): All writes going to the operating system file descriptors 1 and 2 will be captured. * ``sys`` level capturing: Only writes to Python files ``sys.stdout`` and ``sys.stderr`` will be captured. No capturing of writes to filedescriptors is performed. .. _`disable capturing`: You can influence output capturing mechanisms from the command line:: py.test -s # disable all capturing py.test --capture=sys # replace sys.stdout/stderr with in-mem files py.test --capture=fd # also point filedescriptors 1 and 2 to temp file .. _printdebugging: Using print statements for debugging --------------------------------------------------- One primary benefit of the default capturing of stdout/stderr output is that you can use print statements for debugging:: # content of test_module.py def setup_function(function): print ("setting up %s" % function) def test_func1(): assert True def test_func2(): assert False and running this module will show you precisely the output of the failing function and hide the other one:: $ py.test =========================== test session starts ============================ platform linux2 -- Python 2.7.3 -- pytest-2.3.5 collected 2 items test_module.py .F ================================= FAILURES ================================= ________________________________ test_func2 ________________________________ def test_func2(): > assert False E assert False test_module.py:9: AssertionError ----------------------------- Captured stdout ------------------------------ setting up ==================== 1 failed, 1 passed in 0.01 seconds ==================== Accessing captured output from a test function --------------------------------------------------- The :ref:`funcarg mechanism` allows test function a very easy way to access the captured output by simply using the names ``capsys`` or ``capfd`` in the test function signature. Here is an example test function that performs some output related checks:: def test_myoutput(capsys): # or use "capfd" for fd-level print ("hello") sys.stderr.write("world\n") out, err = capsys.readouterr() assert out == "hello\n" assert err == "world\n" print "next" out, err = capsys.readouterr() assert out == "next\n" The ``readouterr()`` call snapshots the output so far - and capturing will be continued. After the test function finishes the original streams will be restored. Using ``capsys`` this way frees your test from having to care about setting/resetting output streams and also interacts well with py.test's own per-test capturing. If you want to capture on ``fd`` level you can use the ``capfd`` function argument which offers the exact same interface. .. include:: links.inc