flaky

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About

Flaky is a plugin for pytest that automatically reruns flaky tests.

Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to @skip, they can be automatically retried.

For more information about flaky, see this presentation <http://opensource.box.com/flaky/>_.

Marking tests flaky


To mark a test as flaky, simply import flaky and decorate the test with @flaky:

.. code-block:: python

    from flaky import flaky

.. code-block:: python

    @flaky
    def test_something_that_usually_passes(self):
        value_to_double = 21
        result = get_result_from_flaky_doubler(value_to_double)
        self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

By default, flaky will retry a failing test once, but that behavior can be overridden by passing values to the
flaky decorator. It accepts two parameters: max_runs, and min_passes; flaky will run tests up to max_runs times, until
it has succeeded min_passes times. Once a test passes min_passes times, it's considered a success; once it has been
run max_runs times without passing min_passes times, it's considered a failure.

.. code-block:: python

    @flaky(max_runs=3, min_passes=2)
    def test_something_that_usually_passes(self):
        """This test must pass twice, and it can be run up to three times."""
        value_to_double = 21
        result = get_result_from_flaky_doubler(value_to_double)
        self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

Marking a class flaky
+++++++++++++++++++++

In addition to marking a single test flaky, entire test cases can be marked flaky:

.. code-block:: python

    @flaky
    class TestMultipliers(TestCase):
        def test_flaky_doubler(self):
            value_to_double = 21
            result = get_result_from_flaky_doubler(value_to_double)
            self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

        @flaky(max_runs=3)
        def test_flaky_tripler(self):
            value_to_triple = 14
            result = get_result_from_flaky_tripler(value_to_triple)
            self.assertEqual(result, value_to_triple * 3, 'Result tripled incorrectly.')

The @flaky class decorator will mark test_flaky_doubler as flaky, but it won't override the 3 max_runs
for test_flaky_tripler (from the decorator on that test method).

Pytest marker
+++++++++++++

When using ``pytest``, ``@pytest.mark.flaky`` can be used in place of ``@flaky``.

Don't rerun certain types of failures

Depending on your tests, some failures are obviously not due to flakiness. Instead of rerunning after those failures, you can specify a filter function that can tell flaky to fail the test right away.

.. code-block:: python

def is_not_crash(err, *args):
    return not issubclass(err[0], ProductCrashedError)

@flaky
def test_something():
    raise ProductCrashedError

@flaky(rerun_filter=is_not_crash)
def test_something_else():
    raise ProductCrashedError

Flaky will run test_something twice, but will only run test_something_else once.

It can also be used to incur a delay between test retries:

.. code-block:: python

import time

def delay_rerun(*args):
    time.sleep(1)
    return True

@flaky(rerun_filter=delay_rerun)
def test_something_else():
    ...

Activating the plugin


With pytest, flaky will automatically run. It can, however be disabled via the command line:

.. code-block:: console

    pytest -p no:flaky

Command line arguments

No Flaky Report +++++++++++++++

Pass --no-flaky-report to suppress the report at the end of the run detailing flaky test results.

Shorter Flaky Report ++++++++++++++++++++

Pass --no-success-flaky-report to suppress information about successful flaky tests.

Force Flaky +++++++++++

Pass --force-flaky to treat all tests as flaky.

Pass --max-runs=MAX_RUNS and/or --min-passes=MIN_PASSES to control the behavior of flaky if --force-flaky is specified. Flaky decorators on individual tests will override these defaults.

Additional usage examples are in the code - see test/test_pytest/test_pytest_example.py

Installation

To install, simply:

.. code-block:: console

pip install flaky

Compatibility

Flaky is tested with the following test runners and options:

Py.test. Works with pytest-xdist but not with the --boxed option. Doctests cannot be marked flaky.

Contributing

See CONTRIBUTING.rst <https://github.com/box/flaky/blob/master/CONTRIBUTING.rst>_.

Setup


Create a virtual environment and install packages -

.. code-block:: console

    mkvirtualenv flaky
    pip install -r requirements-dev.txt

Testing

Run all tests using -

.. code-block:: console

tox

The tox tests include code style checks via pycodestyle and pylint.

Copyright and License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

box / flaky