pytest-jobserver

Limit parallel tests with posix jobserver.

Installation

Install with pip:

pip install pytest-jobserver

The plugin officially supports Python >= 3.6 on a Linux OS. You may find other Python 3 versions/MacOS work as well.

Usage

The plugin uses a POSIX jobserver to manage parallel test loading.

Pass the --jobserver argument with a path, where this path points to a named pipe acting as a jobserver. You should probably also use pytest-xdist to enable parallelism in the first place:

pytest -n4 --jobserver /opt/jobserver

You can also pass this filepath via the PYTEST_JOBSERVER environment variable.

make

The plugin can also listen for an existing jobserver as created by make. If a jobserver is not configured by filepath, pytest-jobserver will check the following environment variables in order:

• CARGO_MAKEFLAGS
• MAKEFLAGS
• MFLAGS

Please note: it is not possible to use one of these environment variables with pytest-xdist. The execnet protocol used by xdist does not support passing file descriptors to remote child processes.

Implementation

This plugin wraps pytest's call to pytest_runtest_protocol, which is called to actually run a collected item on the worker node.

Development

See the top level Makefile and .circleci/config.yml for the development flow. But in essence:

• make dev to install deps
• make lint to lint code (will change files)
• make test to run lint/unit tests
• make integrate to run integration tests

Changelog

0.3.0

Features

• a jobserver filepath can also be configured by the PYTEST_JOBSERVER environment variable

0.2.2

Bugfixes

• move jobserver status on startup to official pytest_report_header hook

0.2.1

Bugfixes

• remove pytest-xdist from runtime dependencies

0.2.0

Features

• can run against a jobserver specified with make environment variables
  • note that this will deliberately not work when also using pytest-xdist

0.1.1

Bugfixes

• fix setup.py package metadata

0.1.0

Features

• can run against a jobserver specified at the cli

TODO

• run against cli jobserver
• integrate with Make jobserver from environment variables
• factor out creation of jobservers to seperate python package