.. highlightlang:: python Basic patterns and examples ========================================================== Pass different values to a test function, depending on command line options ---------------------------------------------------------------------------- .. regendoc:wipe Suppose we want to write a test that depends on a command line option. Here is a basic pattern to achieve this:: # content of test_sample.py def test_answer(cmdopt): if cmdopt == "type1": print ("first") elif cmdopt == "type2": print ("second") assert 0 # to see what was printed For this to work we need to add a command line option and provide the ``cmdopt`` through a :ref:`fixture function `:: # content of conftest.py import pytest def pytest_addoption(parser): parser.addoption("--cmdopt", action="store", default="type1", help="my option: type1 or type2") @pytest.fixture def cmdopt(request): return request.config.getoption("--cmdopt") Let's run this without supplying our new option:: $ py.test -q test_sample.py F ======= FAILURES ======== _______ test_answer ________ cmdopt = 'type1' def test_answer(cmdopt): if cmdopt == "type1": print ("first") elif cmdopt == "type2": print ("second") > assert 0 # to see what was printed E assert 0 test_sample.py:6: AssertionError --------------------------- Captured stdout call --------------------------- first 1 failed in 0.12 seconds And now with supplying a command line option:: $ py.test -q --cmdopt=type2 F ======= FAILURES ======== _______ test_answer ________ cmdopt = 'type2' def test_answer(cmdopt): if cmdopt == "type1": print ("first") elif cmdopt == "type2": print ("second") > assert 0 # to see what was printed E assert 0 test_sample.py:6: AssertionError --------------------------- Captured stdout call --------------------------- second 1 failed in 0.12 seconds You can see that the command line option arrived in our test. This completes the basic pattern. However, one often rather wants to process command line options outside of the test and rather pass in different or more complex objects. Dynamically adding command line options -------------------------------------------------------------- .. regendoc:wipe Through :confval:`addopts` you can statically add command line options for your project. You can also dynamically modify the command line arguments before they get processed:: # content of conftest.py import sys def pytest_cmdline_preparse(args): if 'xdist' in sys.modules: # pytest-xdist plugin import multiprocessing num = max(multiprocessing.cpu_count() / 2, 1) args[:] = ["-n", str(num)] + args If you have the :ref:`xdist plugin ` installed you will now always perform test runs using a number of subprocesses close to your CPU. Running in an empty directory with the above conftest.py:: $ py.test ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 0 items ======= no tests ran in 0.12 seconds ======== .. _`excontrolskip`: Control skipping of tests according to command line option -------------------------------------------------------------- .. regendoc:wipe Here is a ``conftest.py`` file adding a ``--runslow`` command line option to control skipping of ``slow`` marked tests:: # content of conftest.py import pytest def pytest_addoption(parser): parser.addoption("--runslow", action="store_true", help="run slow tests") We can now write a test module like this:: # content of test_module.py import pytest slow = pytest.mark.skipif( not pytest.config.getoption("--runslow"), reason="need --runslow option to run" ) def test_func_fast(): pass @slow def test_func_slow(): pass and when running it will see a skipped "slow" test:: $ py.test -rs # "-rs" means report details on the little 's' ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 2 items test_module.py .s ======= short test summary info ======== SKIP [1] test_module.py:14: need --runslow option to run ======= 1 passed, 1 skipped in 0.12 seconds ======== Or run it including the ``slow`` marked test:: $ py.test --runslow ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 2 items test_module.py .. ======= 2 passed in 0.12 seconds ======== Writing well integrated assertion helpers -------------------------------------------------- .. regendoc:wipe If you have a test helper function called from a test you can use the ``pytest.fail`` marker to fail a test with a certain message. The test support function will not show up in the traceback if you set the ``__tracebackhide__`` option somewhere in the helper function. Example:: # content of test_checkconfig.py import pytest def checkconfig(x): __tracebackhide__ = True if not hasattr(x, "config"): pytest.fail("not configured: %s" %(x,)) def test_something(): checkconfig(42) The ``__tracebackhide__`` setting influences ``pytest`` showing of tracebacks: the ``checkconfig`` function will not be shown unless the ``--fulltrace`` command line option is specified. Let's run our little function:: $ py.test -q test_checkconfig.py F ======= FAILURES ======== _______ test_something ________ def test_something(): > checkconfig(42) E Failed: not configured: 42 test_checkconfig.py:8: Failed 1 failed in 0.12 seconds Detect if running from within a pytest run -------------------------------------------------------------- .. regendoc:wipe Usually it is a bad idea to make application code behave differently if called from a test. But if you absolutely must find out if your application code is running from a test you can do something like this:: # content of conftest.py def pytest_configure(config): import sys sys._called_from_test = True def pytest_unconfigure(config): del sys._called_from_test and then check for the ``sys._called_from_test`` flag:: if hasattr(sys, '_called_from_test'): # called from within a test run else: # called "normally" accordingly in your application. It's also a good idea to use your own application module rather than ``sys`` for handling flag. Adding info to test report header -------------------------------------------------------------- .. regendoc:wipe It's easy to present extra information in a ``pytest`` run:: # content of conftest.py def pytest_report_header(config): return "project deps: mylib-1.1" which will add the string to the test header accordingly:: $ py.test ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 project deps: mylib-1.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 0 items ======= no tests ran in 0.12 seconds ======== .. regendoc:wipe You can also return a list of strings which will be considered as several lines of information. You can of course also make the amount of reporting information on e.g. the value of ``config.option.verbose`` so that you present more information appropriately:: # content of conftest.py def pytest_report_header(config): if config.option.verbose > 0: return ["info1: did you know that ...", "did you?"] which will add info only when run with "--v":: $ py.test -v ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 -- $PYTHON_PREFIX/bin/python3.4 cachedir: .cache info1: did you know that ... did you? rootdir: $REGENDOC_TMPDIR, inifile: collecting ... collected 0 items ======= no tests ran in 0.12 seconds ======== and nothing when run plainly:: $ py.test ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 0 items ======= no tests ran in 0.12 seconds ======== profiling test duration -------------------------- .. regendoc:wipe .. versionadded: 2.2 If you have a slow running large test suite you might want to find out which tests are the slowest. Let's make an artificial test suite:: # content of test_some_are_slow.py import time def test_funcfast(): pass def test_funcslow1(): time.sleep(0.1) def test_funcslow2(): time.sleep(0.2) Now we can profile which test functions execute the slowest:: $ py.test --durations=3 ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 3 items test_some_are_slow.py ... ======= slowest 3 test durations ======== 0.20s call test_some_are_slow.py::test_funcslow2 0.10s call test_some_are_slow.py::test_funcslow1 0.00s setup test_some_are_slow.py::test_funcslow2 ======= 3 passed in 0.12 seconds ======== incremental testing - test steps --------------------------------------------------- .. regendoc:wipe Sometimes you may have a testing situation which consists of a series of test steps. If one step fails it makes no sense to execute further steps as they are all expected to fail anyway and their tracebacks add no insight. Here is a simple ``conftest.py`` file which introduces an ``incremental`` marker which is to be used on classes:: # content of conftest.py import pytest def pytest_runtest_makereport(item, call): if "incremental" in item.keywords: if call.excinfo is not None: parent = item.parent parent._previousfailed = item def pytest_runtest_setup(item): if "incremental" in item.keywords: previousfailed = getattr(item.parent, "_previousfailed", None) if previousfailed is not None: pytest.xfail("previous test failed (%s)" %previousfailed.name) These two hook implementations work together to abort incremental-marked tests in a class. Here is a test module example:: # content of test_step.py import pytest @pytest.mark.incremental class TestUserHandling: def test_login(self): pass def test_modification(self): assert 0 def test_deletion(self): pass def test_normal(): pass If we run this:: $ py.test -rx ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 4 items test_step.py .Fx. ======= FAILURES ======== _______ TestUserHandling.test_modification ________ self = def test_modification(self): > assert 0 E assert 0 test_step.py:9: AssertionError ======= short test summary info ======== XFAIL test_step.py::TestUserHandling::()::test_deletion reason: previous test failed (test_modification) ======= 1 failed, 2 passed, 1 xfailed in 0.12 seconds ======== We'll see that ``test_deletion`` was not executed because ``test_modification`` failed. It is reported as an "expected failure". Package/Directory-level fixtures (setups) ------------------------------------------------------- If you have nested test directories, you can have per-directory fixture scopes by placing fixture functions in a ``conftest.py`` file in that directory You can use all types of fixtures including :ref:`autouse fixtures ` which are the equivalent of xUnit's setup/teardown concept. It's however recommended to have explicit fixture references in your tests or test classes rather than relying on implicitly executing setup/teardown functions, especially if they are far away from the actual tests. Here is a an example for making a ``db`` fixture available in a directory:: # content of a/conftest.py import pytest class DB: pass @pytest.fixture(scope="session") def db(): return DB() and then a test module in that directory:: # content of a/test_db.py def test_a1(db): assert 0, db # to show value another test module:: # content of a/test_db2.py def test_a2(db): assert 0, db # to show value and then a module in a sister directory which will not see the ``db`` fixture:: # content of b/test_error.py def test_root(db): # no db here, will error out pass We can run this:: $ py.test ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 7 items test_step.py .Fx. a/test_db.py F a/test_db2.py F b/test_error.py E ======= ERRORS ======== _______ ERROR at setup of test_root ________ file $REGENDOC_TMPDIR/b/test_error.py, line 1 def test_root(db): # no db here, will error out fixture 'db' not found available fixtures: capsys, capfd, pytestconfig, tmpdir_factory, monkeypatch, record_xml_property, cache, tmpdir, recwarn use 'py.test --fixtures [testpath]' for help on them. $REGENDOC_TMPDIR/b/test_error.py:1 ======= FAILURES ======== _______ TestUserHandling.test_modification ________ self = def test_modification(self): > assert 0 E assert 0 test_step.py:9: AssertionError _______ test_a1 ________ db = def test_a1(db): > assert 0, db # to show value E AssertionError: E assert 0 a/test_db.py:2: AssertionError _______ test_a2 ________ db = def test_a2(db): > assert 0, db # to show value E AssertionError: E assert 0 a/test_db2.py:2: AssertionError ======= 3 failed, 2 passed, 1 xfailed, 1 error in 0.12 seconds ======== The two test modules in the ``a`` directory see the same ``db`` fixture instance while the one test in the sister-directory ``b`` doesn't see it. We could of course also define a ``db`` fixture in that sister directory's ``conftest.py`` file. Note that each fixture is only instantiated if there is a test actually needing it (unless you use "autouse" fixture which are always executed ahead of the first test executing). post-process test reports / failures --------------------------------------- If you want to postprocess test reports and need access to the executing environment you can implement a hook that gets called when the test "report" object is about to be created. Here we write out all failing test calls and also access a fixture (if it was used by the test) in case you want to query/look at it during your post processing. In our case we just write some informations out to a ``failures`` file:: # content of conftest.py import pytest import os.path @pytest.hookimpl(tryfirst=True, hookwrapper=True) def pytest_runtest_makereport(item, call): # execute all other hooks to obtain the report object outcome = yield rep = outcome.get_result() # we only look at actual failing test calls, not setup/teardown if rep.when == "call" and rep.failed: mode = "a" if os.path.exists("failures") else "w" with open("failures", mode) as f: # let's also access a fixture for the fun of it if "tmpdir" in item.fixturenames: extra = " (%s)" % item.funcargs["tmpdir"] else: extra = "" f.write(rep.nodeid + extra + "\n") if you then have failing tests:: # content of test_module.py def test_fail1(tmpdir): assert 0 def test_fail2(): assert 0 and run them:: $ py.test test_module.py ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 2 items test_module.py FF ======= FAILURES ======== _______ test_fail1 ________ tmpdir = local('PYTEST_TMPDIR/test_fail10') def test_fail1(tmpdir): > assert 0 E assert 0 test_module.py:2: AssertionError _______ test_fail2 ________ def test_fail2(): > assert 0 E assert 0 test_module.py:4: AssertionError ======= 2 failed in 0.12 seconds ======== you will have a "failures" file which contains the failing test ids:: $ cat failures test_module.py::test_fail1 (PYTEST_TMPDIR/test_fail10) test_module.py::test_fail2 Making test result information available in fixtures ----------------------------------------------------------- .. regendoc:wipe If you want to make test result reports available in fixture finalizers here is a little example implemented via a local plugin:: # content of conftest.py import pytest @pytest.hookimpl(tryfirst=True, hookwrapper=True) def pytest_runtest_makereport(item, call): # execute all other hooks to obtain the report object outcome = yield rep = outcome.get_result() # set an report attribute for each phase of a call, which can # be "setup", "call", "teardown" setattr(item, "rep_" + rep.when, rep) @pytest.fixture def something(request): def fin(): # request.node is an "item" because we use the default # "function" scope if request.node.rep_setup.failed: print ("setting up a test failed!", request.node.nodeid) elif request.node.rep_setup.passed: if request.node.rep_call.failed: print ("executing test failed", request.node.nodeid) request.addfinalizer(fin) if you then have failing tests:: # content of test_module.py import pytest @pytest.fixture def other(): assert 0 def test_setup_fails(something, other): pass def test_call_fails(something): assert 0 def test_fail2(): assert 0 and run it:: $ py.test -s test_module.py ======= test session starts ======== platform linux -- Python 3.4.3, pytest-2.8.5, py-1.4.31, pluggy-0.3.1 rootdir: $REGENDOC_TMPDIR, inifile: collected 3 items test_module.py Esetting up a test failed! test_module.py::test_setup_fails Fexecuting test failed test_module.py::test_call_fails F ======= ERRORS ======== _______ ERROR at setup of test_setup_fails ________ @pytest.fixture def other(): > assert 0 E assert 0 test_module.py:6: AssertionError ======= FAILURES ======== _______ test_call_fails ________ something = None def test_call_fails(something): > assert 0 E assert 0 test_module.py:12: AssertionError _______ test_fail2 ________ def test_fail2(): > assert 0 E assert 0 test_module.py:15: AssertionError ======= 2 failed, 1 error in 0.12 seconds ======== You'll see that the fixture finalizers could use the precise reporting information. Integrating pytest runner and cx_freeze ----------------------------------------------------------- If you freeze your application using a tool like `cx_freeze `_ in order to distribute it to your end-users, it is a good idea to also package your test runner and run your tests using the frozen application. This way packaging errors such as dependencies not being included into the executable can be detected early while also allowing you to send test files to users so they can run them in their machines, which can be invaluable to obtain more information about a hard to reproduce bug. Unfortunately ``cx_freeze`` can't discover them automatically because of ``pytest``'s use of dynamic module loading, so you must declare them explicitly by using ``pytest.freeze_includes()``:: # contents of setup.py from cx_Freeze import setup, Executable import pytest setup( name="app_main", executables=[Executable("app_main.py")], options={"build_exe": { 'includes': pytest.freeze_includes()} }, # ... other options ) If you don't want to ship a different executable just in order to run your tests, you can make your program check for a certain flag and pass control over to ``pytest`` instead. For example:: # contents of app_main.py import sys if len(sys.argv) > 1 and sys.argv[1] == '--pytest': import pytest sys.exit(pytest.main(sys.argv[2:])) else: # normal application execution: at this point argv can be parsed # by your argument-parsing library of choice as usual ... This makes it convenient to execute your tests from within your frozen application, using standard ``py.test`` command-line options:: ./app_main --pytest --verbose --tb=long --junit-xml=results.xml test-suite/