Skip to main content

A parallel Python test runner built around subunit

Project description

Build status Azure DevOps build status Code coverage Latest Version

Note

stestr v2.x.x release series will be the last series that supports Python 2. Support for Python 2.7 will be dropped in stestr release 3.0.0 which is being planned for early 2020.

Overview

stestr is parallel Python test runner designed to execute unittest test suites using multiple processes to split up execution of a test suite. It also will store a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed. To accomplish this goal it uses the subunit protocol to facilitate streaming and storing results from multiple workers.

stestr originally started as a fork of the testrepository project. But, instead of being an interface for any test runner that used subunit, like testrepository, stestr concentrated on being a dedicated test runner for python projects. While stestr was originally forked from testrepository it is not backwards compatible with testrepository. At a high level the basic concepts of operation are shared between the two projects but the actual usage is not exactly the same.

Installing stestr

stestr is available via pypi, so all you need to do is run:

pip install -U stestr

to get stestr on your system. If you need to use a development version of stestr you can clone the repo and install it locally with:

git clone https://github.com/mtreinish/stestr.git && pip install -e stestr

which will install stestr in your python environment in editable mode for local development

Using stestr

After you install stestr to use it to run tests is pretty straightforward. The first thing you’ll want to do is create a .stestr.conf file for your project. This file is used to tell stestr where to find tests and basic information about how tests are run. A basic minimal example of the contents of this is:

[DEFAULT]
test_path=./project_source_dir/tests

which just tells stestr the relative path for the directory to use for test discovery. This is the same as --start-directory in the standard unittest discovery.

After this file is created you should be all set to start using stestr to run tests. To run tests just use:

stestr run

it will first create a results repository at .stestr/ in the current working directory and then execute all the tests found by test discovery. If you’re just running a single test (or module) and want to avoid the overhead of doing test discovery you can use the --no-discover/-n option to specify that test.

For all the details on these commands and more thorough explanation of options see the stestr manual: https://stestr.readthedocs.io/en/latest/MANUAL.html

Migrating from testrepository

If you have a project that is already using testrepository stestr’s source repo contains a helper script for migrating your repo to use stestr. This script just creates a .stestr.conf file from a .testr.conf file. (assuming it uses a standard subunit.run test command format) To run this from your project repo just call:

$STESTR_SOURCE_DIR/tools/testr_to_stestr.py

and you’ll have a .stestr.conf created.

Building a manpage

The stestr manual has been formatted so that it renders well as html and as a manpage. The html output and is autogenerated and published to: https://stestr.readthedocs.io/en/latest/MANUAL.html but the manpage has to be generated by hand. To do this you have to manually run sphinx-build with the manpage builder. This has been automated in a small script that should be run from the root of the stestr repository:

tools/build_manpage.sh

which will generate the troff file in doc/build/man/stestr.1 which is ready to be packaged and or put in your system’s man pages.

Contributing

To browse the latest code, see: https://github.com/mtreinish/stestr To clone the latest code, use: git clone https://github.com/mtreinish/stestr.git

Guidelines for contribution are documented at: http://stestr.readthedocs.io/en/latest/developer_guidelines.html

Use github pull requests to submit patches. Before you submit a pull request ensure that all the automated testing will pass by running tox locally. This will run the test suite and also the automated style rule checks just as they will in CI. If CI fails on your change it will not be able to merge.

Community

Besides Github interactions there is also a stestr IRC channel:

#stestr on Freenode

feel free to join to ask questions, or just discuss stestr.

Download files

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

Files for stestr, version 2.5.1
Filename, size File type Python version Upload date Hashes
Filename, size stestr-2.5.1-py2.py3-none-any.whl (116.4 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size stestr-2.5.1.tar.gz (108.7 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page