Skip to main content

Plugin for nose or py.test that automatically reruns flaky tests.

Project description

https://travis-ci.org/box/flaky.png?branch=master https://pypip.in/v/flaky/badge.png https://pypip.in/d/flaky/badge.png

Upcoming Breaking Change!

When Flaky was released through version 0.3.0, it was released under the namespace box.test. In version 0.4.0, importing flaky became easier:

from flaky import flaky

vs.

from box.test.flaky import flaky

In version 1.0.0, however, you will no longer be able to import flaky from box.test.

About

Flaky is a plugin for nose or py.test 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.

Like any nose plugin, flaky can be activated via the command line:

nosetests --with-flaky

To mark a test as flaky, simply decorate it with @flaky:

@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.

@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.')

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

@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).

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

Installation

To install, simply:

pip install flaky

Contributing

See CONTRIBUTING.

Setup

Create a virtual environment and install packages -

mkvirtualenv flaky
pip install -r requirements-dev.txt

Testing

Run all tests using -

tox

The tox tests include code style checks via pep8 and pylint.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flaky-1.0.2.tar.gz (17.5 kB view details)

Uploaded Source

File details

Details for the file flaky-1.0.2.tar.gz.

File metadata

  • Download URL: flaky-1.0.2.tar.gz
  • Upload date:
  • Size: 17.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for flaky-1.0.2.tar.gz
Algorithm Hash digest
SHA256 dfd772dd17aa379cec8808e25415f14b4fd9a85bc25d0e7706b63713feb93940
MD5 5ee0c64a7221e37f4dc1353632fe5bd8
BLAKE2b-256 8dc6a6e647e0eb4facc7f8d21e636d6df71a9cdbed79e0f27d2c64b81e0c28f1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page