Skip to main content

A py.test plugin providing access to a dummynet.

Project description

PyPi Waf Python Tests Black Flake8 Pip Install

pytest-dummynet provides a py.test fixture for working with dummy-networks in pytest on Linux machines. By dummy-networks we refer to setups with network namespaces, virtual ethernets, etc.

The DummyNet class is a python wrapper for the linux ‘ip netns’ and ‘ip link’ tools. The methods of the class parse args directly to the command-line in your linux OS.

So far, Ubuntu and Debian are supported, but please make sure, that you have the iproute2 linux-package installed with:

apt-get install iproute2

Other Linux operating systems have not been tested, but feel free to open an issue if support is needed.

Installation

To install pytest-dummynet:

pip install pytest-dummynet

Usage

To make it easy to use in with pytest the DummyNet object can be injected into a test function by using the dummynet fixture.

Example:

def test_run_fail(dummynet):

    with dummynet.host() as shell:

        demo0 = shell.netns_add(name="namespace1")
        demo1 = shell.netns_add(name="namespace2")

        shell.link_veth_add(p1_name="peer1", p2_name="peer2")

The dummynet argument is an instance of the DummyNet class.

For a complete example of a local network setup see the test in ‘test/test_dummynet.py’.

You can try playing around with the class methods in dummynet.py and call the commands in self.shell.run(cmd) from the command-line. This can give a better idea of the functionality.

Relase new version

  1. Edit NEWS.rst and wscript (set correct VERSION)

  2. Run

    ./waf upload

Source code

The main functionality is found in src/dummy_net.py and the corresponding unit test is in test/test_dummynet.py if you want to play/modify/fix the code this would, in most cases, be the place to start.

Developer Notes

We try to make our projects as independent as possible of a local system setup. For example with our native code (C/C++) we compile as much as possible from source, since this makes us independent of what is currently installed (libraries etc.) on a specific machine.

To “fetch” sources we use Waf (https://waf.io/) augmented with dependency resolution capabilities: https://github.com/steinwurf/waf

The goal is to enable a work-flow where running:

./waf configure
./waf build --run_tests

Configures, builds and runs any available tests for a given project, such that you as a developer can start hacking at the code.

For Python project this is a bit unconventional, but we think it works well.

Tests

The tests will run automatically by passing --run_tests to waf:

./waf --run_tests

This follows what seems to be “best practice” advise, namely to install the package in editable mode in a virtualenv.

Notes

Project details


Download files

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

Source Distributions

No source distribution files available for this release. See tutorial on generating distribution archives.

Built Distribution

pytest_dummynet-2.1.0-py2.py3-none-any.whl (9.9 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page