GithubHelp home page GithubHelp logo

what-studio / pytest-rerunfailures Goto Github PK

View Code? Open in Web Editor NEW

This project forked from pytest-dev/pytest-rerunfailures

1.0 4.0 1.0 157 KB

a py.test plugin that re-runs failed tests up to -n times to eliminate flakey failures

License: Other

Python 100.00%

pytest-rerunfailures's Introduction

pytest-rerunfailures

pytest-rerunfailures is a plugin for py.test that re-runs tests to eliminate intermittent failures.

License PyPI Travis

Requirements

You will need the following prerequisites in order to use pytest-rerunfailures:

  • Python 2.6, 2.7, 3.3, 3.4, 3.5, PyPy, or PyPy3
  • py.test 2.4.2 or newer, except Python 3.5 that needs py.test 2.7.3 or newer

Installation

To install pytest-rerunfailures:

$ pip install pytest-rerunfailures

Re-run all failures

To re-run all test failures, use the --reruns command line option with the maximum number of times you'd like the tests to run:

$ py.test --rerun 5

Re-run individual failures

To mark individual tests as flaky, and have them automatically re-run when they fail, add the flaky mark with the maximum number of times you'd like the test to run:

@pytest.mark.flaky(reruns=5)
def test_example():
    import random
    assert random.choice([True, False])

Note that when teardown fails, two reports are generated for the case, one for the test case and the other for the teardown error.

Output

Here's an example of the output provided by the plugin when run with --reruns 2 and -r aR:

test_report.py RRF

================================== FAILURES ==================================
__________________________________ test_fail _________________________________

    def test_fail():
>       assert False
E       assert False

test_report.py:9: AssertionError
============================ rerun test summary info =========================
RERUN test_report.py::test_fail
RERUN test_report.py::test_fail
============================ short test summary info =========================
FAIL test_report.py::test_fail
======================= 1 failed, 2 rerun in 0.02 seconds ====================

Note that output will show all re-runs. Tests that fail on all the re-runs will be marked as failed. Due to a current limitation in pytest-xdist, when running tests in parallel only the final result will be included in the output.

Compatibility

  • This plugin may not be used with class, module, and package level fixtures.
  • This plugin is not compatible with pytest-xdist's --looponfail flag.
  • This plugin is not compatible with the core --pdb flag.
  • The support for Python 3.5 is limited to pytest 2.7.3 and higher. (Will break with TypeError: Call constructor takes either 0 or 3 positional arguments for older versions, see pytest-dev/pytest#744)

Resources

pytest-rerunfailures's People

Contributors

astraw38 avatar bobsilverberg avatar davehunt avatar edgarostrowski avatar floer32 avatar florianpilz avatar klrmn avatar msabramo avatar ronnypfannschmidt avatar sallner avatar the-compiler avatar tltx avatar tomviner avatar

Stargazers

 avatar

Watchers

 avatar  avatar  avatar  avatar

Forkers

lidesigner

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.