Provided by: python-pytest_3.10.1-2_all
pytest - pytest usage
CALLING PYTEST THROUGH PYTHON -M PYTEST
New in version 2.0. You can invoke testing through the Python interpreter from the command line: python -m pytest [...] This is almost equivalent to invoking the command line script pytest [...] directly, except that calling via python will also add the current directory to sys.path.
POSSIBLE EXIT CODES
Running pytest can result in six different exit codes: Exit code 0 All tests were collected and passed successfully Exit code 1 Tests were collected and run but some of the tests failed Exit code 2 Test execution was interrupted by the user Exit code 3 Internal error happened while executing tests Exit code 4 pytest command line usage error Exit code 5 No tests were collected
GETTING HELP ON VERSION, OPTION NAMES, ENVIRONMENT VARIABLES
pytest --version # shows where pytest was imported from pytest --fixtures # show available builtin function arguments pytest -h | --help # show help on command line and config file options
STOPPING AFTER THE FIRST (OR N) FAILURES
To stop the testing process after the first (N) failures: pytest -x # stop after first failure pytest --maxfail=2 # stop after two failures
SPECIFYING TESTS / SELECTING TESTS
Pytest supports several ways to run and select tests from the command-line. Run tests in a module pytest test_mod.py Run tests in a directory pytest testing/ Run tests by keyword expressions pytest -k "MyClass and not method" This will run tests which contain names that match the given string expression, which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple. Run tests by node ids Each collected test is assigned a unique nodeid which consist of the module filename followed by specifiers like class names, function names and parameters from parametrization, separated by :: characters. To run a specific test within a module: pytest test_mod.py::test_func Another example specifying a test method in the command line: pytest test_mod.py::TestClass::test_method Run tests by marker expressions pytest -m slow Will run all tests which are decorated with the @pytest.mark.slow decorator. For more information see marks. Run tests from packages pytest --pyargs pkg.testing This will import pkg.testing and use its filesystem location to find and run tests from.
MODIFYING PYTHON TRACEBACK PRINTING
Examples for modifying traceback printing: pytest --showlocals # show local variables in tracebacks pytest -l # show local variables (shortcut) pytest --tb=auto # (default) 'long' tracebacks for the first and last # entry, but 'short' style for the other entries pytest --tb=long # exhaustive, informative traceback formatting pytest --tb=short # shorter traceback format pytest --tb=line # only one line per failure pytest --tb=native # Python standard library formatting pytest --tb=no # no traceback at all The --full-trace causes very long traces to be printed on error (longer than --tb=long). It also ensures that a stack trace is printed on KeyboardInterrupt (Ctrl+C). This is very useful if the tests are taking too long and you interrupt them with Ctrl+C to find out where the tests are hanging. By default no output will be shown (because KeyboardInterrupt is caught by pytest). By using this option you make sure a trace is shown.
DETAILED SUMMARY REPORT
New in version 2.9. The -r flag can be used to display test results summary at the end of the test session, making it easy in large test suites to get a clear picture of all failures, skips, xfails, etc. Example: $ pytest -ra =========================== test session starts ============================ platform linux -- Python 3.x.y, pytest-3.x.y, py-1.x.y, pluggy-0.x.y rootdir: $REGENDOC_TMPDIR, inifile: collected 0 items ======================= no tests ran in 0.12 seconds ======================= The -r options accepts a number of characters after it, with a used above meaning "all except passes". Here is the full list of available characters that can be used: · f - failed · E - error · s - skipped · x - xfailed · X - xpassed · p - passed · P - passed with output · a - all except pP More than one character can be used, so for example to only see failed and skipped tests, you can execute: $ pytest -rfs =========================== test session starts ============================ platform linux -- Python 3.x.y, pytest-3.x.y, py-1.x.y, pluggy-0.x.y rootdir: $REGENDOC_TMPDIR, inifile: collected 0 items ======================= no tests ran in 0.12 seconds =======================
DROPPING TO PDB (PYTHON DEBUGGER) ON FAILURES
Python comes with a builtin Python debugger called PDB. pytest allows one to drop into the PDB prompt via a command line option: pytest --pdb This will invoke the Python debugger on every failure (or KeyboardInterrupt). Often you might only want to do this for the first failing test to understand a certain failure situation: pytest -x --pdb # drop to PDB on first failure, then end test session pytest --pdb --maxfail=3 # drop to PDB for first three failures Note that on any failure the exception information is stored on sys.last_value, sys.last_type and sys.last_traceback. In interactive use, this allows one to drop into postmortem debugging with any debug tool. One can also manually access the exception information, for example: >>> import sys >>> sys.last_traceback.tb_lineno 42 >>> sys.last_value AssertionError('assert result == "ok"',)
DROPPING TO PDB (PYTHON DEBUGGER) AT THE START OF A TEST
pytest allows one to drop into the PDB prompt immediately at the start of each test via a command line option: pytest --trace This will invoke the Python debugger at the start of every test.
To set a breakpoint in your code use the native Python import pdb;pdb.set_trace() call in your code and pytest automatically disables its output capture for that test: · Output capture in other tests is not affected. · Any prior test output that has already been captured and will be processed as such. · Any later output produced within the same test will not be captured and will instead get sent directly to sys.stdout. Note that this holds true even for test output occurring after you exit the interactive PDB tracing session and continue with the regular test run.
USING THE BUILTIN BREAKPOINT FUNCTION
Python 3.7 introduces a builtin breakpoint() function. Pytest supports the use of breakpoint() with the following behaviours: · When breakpoint() is called and PYTHONBREAKPOINT is set to the default value, pytest will use the custom internal PDB trace UI instead of the system default Pdb. · When tests are complete, the system will default back to the system Pdb trace UI. · With --pdb passed to pytest, the custom internal Pdb trace UI is used with both breakpoint() and failed tests/unhandled exceptions. · --pdbcls can be used to specify a custom debugger class.
PROFILING TEST EXECUTION DURATION
To get a list of the slowest 10 test durations: pytest --durations=10 By default, pytest will not show test durations that are too small (<0.01s) unless -vv is passed on the command-line.
CREATING JUNITXML FORMAT FILES
To create result files which can be read by Jenkins or other Continuous integration servers, use this invocation: pytest --junitxml=path to create an XML file at path. New in version 3.1. To set the name of the root test suite xml item, you can configure the junit_suite_name option in your config file: [pytest] junit_suite_name = my_suite record_property New in version 2.8. Changed in version 3.5: Fixture renamed from record_xml_property to record_property as user properties are now available to all reporters. record_xml_property is now deprecated. If you want to log additional information for a test, you can use the record_property fixture: def test_function(record_property): record_property("example_key", 1) assert True This will add an extra property example_key="1" to the generated testcase tag: <testcase classname="test_function" file="test_function.py" line="0" name="test_function" time="0.0009"> <properties> <property name="example_key" value="1" /> </properties> </testcase> Alternatively, you can integrate this functionality with custom markers: # content of conftest.py def pytest_collection_modifyitems(session, config, items): for item in items: for marker in item.iter_markers(name="test_id"): test_id = marker.args item.user_properties.append(("test_id", test_id)) And in your tests: # content of test_function.py import pytest @pytest.mark.test_id(1501) def test_function(): assert True Will result in: <testcase classname="test_function" file="test_function.py" line="0" name="test_function" time="0.0009"> <properties> <property name="test_id" value="1501" /> </properties> </testcase> WARNING: record_property is an experimental feature and may change in the future. Also please note that using this feature will break any schema verification. This might be a problem when used with some CI servers. record_xml_attribute New in version 3.4. To add an additional xml attribute to a testcase element, you can use record_xml_attribute fixture. This can also be used to override existing values: def test_function(record_xml_attribute): record_xml_attribute("assertions", "REQ-1234") record_xml_attribute("classname", "custom_classname") print("hello world") assert True Unlike record_property, this will not add a new child element. Instead, this will add an attribute assertions="REQ-1234" inside the generated testcase tag and override the default classname with "classname=custom_classname": <testcase classname="custom_classname" file="test_function.py" line="0" name="test_function" time="0.003" assertions="REQ-1234"> <system-out> hello world </system-out> </testcase> WARNING: record_xml_attribute is an experimental feature, and its interface might be replaced by something more powerful and general in future versions. The functionality per-se will be kept, however. Using this over record_xml_property can help when using ci tools to parse the xml report. However, some parsers are quite strict about the elements and attributes that are allowed. Many tools use an xsd schema (like the example below) to validate incoming xml. Make sure you are using attribute names that are allowed by your parser. Below is the Scheme used by Jenkins to validate the XML report: <xs:element name="testcase"> <xs:complexType> <xs:sequence> <xs:element ref="skipped" minOccurs="0" maxOccurs="1"/> <xs:element ref="error" minOccurs="0" maxOccurs="unbounded"/> <xs:element ref="failure" minOccurs="0" maxOccurs="unbounded"/> <xs:element ref="system-out" minOccurs="0" maxOccurs="unbounded"/> <xs:element ref="system-err" minOccurs="0" maxOccurs="unbounded"/> </xs:sequence> <xs:attribute name="name" type="xs:string" use="required"/> <xs:attribute name="assertions" type="xs:string" use="optional"/> <xs:attribute name="time" type="xs:string" use="optional"/> <xs:attribute name="classname" type="xs:string" use="optional"/> <xs:attribute name="status" type="xs:string" use="optional"/> </xs:complexType> </xs:element> LogXML: add_global_property New in version 3.0. If you want to add a properties node in the testsuite level, which may contains properties that are relevant to all testcases you can use LogXML.add_global_properties import pytest @pytest.fixture(scope="session") def log_global_env_facts(f): if pytest.config.pluginmanager.hasplugin("junitxml"): my_junit = getattr(pytest.config, "_xml", None) my_junit.add_global_property("ARCH", "PPC") my_junit.add_global_property("STORAGE_TYPE", "CEPH") @pytest.mark.usefixtures(log_global_env_facts.__name__) def start_and_prepare_env(): pass class TestMe(object): def test_foo(self): assert True This will add a property node below the testsuite node to the generated xml: <testsuite errors="0" failures="0" name="pytest" skips="0" tests="1" time="0.006"> <properties> <property name="ARCH" value="PPC"/> <property name="STORAGE_TYPE" value="CEPH"/> </properties> <testcase classname="test_me.TestMe" file="test_me.py" line="16" name="test_foo" time="0.000243663787842"/> </testsuite> WARNING: This is an experimental feature, and its interface might be replaced by something more powerful and general in future versions. The functionality per-se will be kept.
CREATING RESULTLOG FORMAT FILES
Deprecated since version 3.0: This option is rarely used and is scheduled for removal in 4.0. An alternative for users which still need similar functionality is to use the pytest-tap plugin which provides a stream of test data. If you have any concerns, please don't hesitate to open an issue. To create plain-text machine-readable result files you can issue: pytest --resultlog=path and look at the content at the path location. Such files are used e.g. by the PyPy-test web page to show test results over several revisions.
SENDING TEST REPORT TO ONLINE PASTEBIN SERVICE
Creating a URL for each test failure: pytest --pastebin=failed This will submit test run information to a remote Paste service and provide a URL for each failure. You may select tests as usual or add for example -x if you only want to send one particular failure. Creating a URL for a whole test session log: pytest --pastebin=all Currently only pasting to the http://bpaste.net service is implemented.
To disable loading specific plugins at invocation time, use the -p option together with the prefix no:. Example: to disable loading the plugin doctest, which is responsible for executing doctest tests from text files, invoke pytest like this: pytest -p no:doctest
CALLING PYTEST FROM PYTHON CODE
New in version 2.0. You can invoke pytest from Python code directly: pytest.main() this acts as if you would call "pytest" from the command line. It will not raise SystemExit but return the exitcode instead. You can pass in options and arguments: pytest.main(['-x', 'mytestdir']) You can specify additional plugins to pytest.main: # content of myinvoke.py import pytest class MyPlugin(object): def pytest_sessionfinish(self): print("*** test run reporting finishing") pytest.main(["-qq"], plugins=[MyPlugin()]) Running it will show that MyPlugin was added and its hook was invoked: $ python myinvoke.py . [100%]*** test run reporting finishing NOTE: Calling pytest.main() will result in importing your tests and any modules that they import. Due to the caching mechanism of python's import system, making subsequent calls to pytest.main() from the same process will not reflect changes to those files between the calls. For this reason, making multiple calls to pytest.main() from the same process (in order to re-run tests, for example) is not recommended.
holger krekel at merlinux eu
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