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docs: Provide an article on testing
Currently we don't have much information on how testing is done in libvirt and the little we have is scattered among multiple files. This patch creates a common landing page containing all important bits about testing in libvirt, providing links to respective sections which deserve their own articles. Signed-off-by: Erik Skultety <eskultet@redhat.com> Reviewed-by: Daniel P. Berrangé <berrange@redhat.com>
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Erik Skultety
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@ -105,6 +105,7 @@ docs_rst_files = [
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'submitting-patches',
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'support',
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'testapi',
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'testing',
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'testsuites',
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'testtck',
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'uri',
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172
docs/testing.rst
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172
docs/testing.rst
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@ -0,0 +1,172 @@
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=======
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Testing
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=======
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.. contents::
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Different types of tests are available to libvirt developers for testing a
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given libvirt release.
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Unit tests
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----------
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The unit test suite present in the source code is mainly used to test our
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XML parser/formatter, QEMU command line generator, QEMU capabilities probing,
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etc. It is run by developers before submitting patches upstream and is
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mandatory to pass for any contribution to be accepted upstream. One can run
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the test suite in the source tree with the following::
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$ ninja test
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Container builds
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----------------
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Technically speaking these are not tests in the common sense. However, usage of
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public container images to build libvirt in predefined and widely accessible
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environments makes it possible to expand our coverage across distros,
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architectures, toolchain flavors and library versions and as such is a very
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valuable marker when accepting upstream contributions. Therefore, it is
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recommended to run libvirt builds against your changes in various containers to
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either locally or by using GitLab's shared CI runners to make sure everything
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runs cleanly before submitting your patches. The images themselves come from
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libvirt's GitLab container registry, but this can be overriden if needed, see
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below.
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Registry
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~~~~~~~~
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Libvirt project has its container registry hosted by GitLab at
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``registry.gitlab.com/libvirt/libvirt`` which will automatically be
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used to pull in pre-built layers. This avoids the need to build all the
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containers locally using the Dockerfile recipes found in ``ci/containers/``.
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Running container builds with GitLab CI
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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As long as your GitLab account has CI minutes available, pipelines will run
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automatically on every branch push to your fork.
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Running container builds locally
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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In order to run container builds locally, we have a ``helper`` script inside
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the ``ci`` directory that can pull, build, and test (if applicable) changes on
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your current local branch. It supports both the Docker and Podman runtimes
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with an automatic selection of whichever runtime is configured on your system.
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In case neither has been enabled/configured, please go through the following
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prerequisites. We recommend using podman because of its daemonless architecture
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and security implications (i.e. rootless container execution by default) over
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Docker.
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Podman Prerequisites
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~~~~~~~~~~~~~~~~~~~~
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Install "podman" with the system package manager.
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.. code::
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$ sudo dnf install -y podman
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$ podman ps
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The last command should print an empty table, to verify the system is ready.
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Docker Prerequisites
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~~~~~~~~~~~~~~~~~~~~
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Install "docker" with the system package manager and start the Docker service
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on your development machine, then make sure you have the privilege to run
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Docker commands. Typically it means setting up passwordless ``sudo docker``
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command or login as root. For example:
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.. code::
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$ sudo dnf install -y docker
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$ # or `apt-get install docker` for Ubuntu, etc.
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$ sudo systemctl start docker
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$ sudo docker ps
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The last command should print an empty table, to verify the system is ready.
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An alternative method to set up permissions is by adding the current user to
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"docker" group and making the docker daemon socket file (by default
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``/var/run/docker.sock``) accessible to the group:
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.. code::
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$ sudo groupadd docker
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$ sudo usermod $USER -a -G docker
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$ sudo chown :docker /var/run/docker.sock
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Note that any one of above configurations makes it possible for the user to
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exploit the whole host with Docker bind mounting or other privileged
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operations. So only do it on development machines.
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Examples of executing local container builds
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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All of the following examples will utilize ``helper`` script mentioned earlier
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sections. Let's start with the basics - listing available container images in
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the default libvirt registry:
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::
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$ cd <libvirt_git>/ci
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$ ./helper --help
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$ ./helper list-images
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Available x86 container images:
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...
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alpine-edge
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fedora-rawhide
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...
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Available cross-compiler container images:
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...
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debian-sid-cross-s390x
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fedora-rawhide-cross-mingw32
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fedora-rawhide-cross-mingw64
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...
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Now let's say one would want to build their local libvirt changes on Alpine
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Edge using their own GitLab's registry container. They'd then proceed with
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::
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$ ci/helper build --image-prefix registry.gitlab.com/<user>/libvirt/ci- alpine-edge
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Finally, it would be nice if one could get an interactive shell inside the
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test environment to debug potential build issues. This can be achieved with the
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following:
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::
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$ ci/helper shell alpine-edge
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Integration tests
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-----------------
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There are a few frameworks for writing and running functional tests in libvirt
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with TCK being the one that runs in our upstream CI.
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- the `TCK test suite <testtck.html>`__ is a functional test suite implemented
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using the `Perl bindings <https://search.cpan.org/dist/Sys-Virt/>`__ of
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libvirt. This is the recommended framework to use for writing upstream
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functional tests at the moment. You can start by cloning the
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`TCK git repo <https://gitlab.com/libvirt/libvirt-tck>`__.
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- the `Avocado VT <https://github.com/avocado-framework/avocado-vt>`__ test
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suite with the libvirt plugin is another framework implementing functional
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testing utilizing the Avocado test framework underneath. Although written in
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Python, the vast majority of the tests are exercising libvirt through the
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command line client ``virsh``.
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- the `libvirt-test-API <testapi.html>`__ is also a functional test suite, but
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implemented using the `Python bindings <python.html>`__ of libvirt.
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Unfortunately this framework is the least recommended one as it's largely
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unmaintained and may be completely deprecated in the future in favour of TCK.
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You can get it by cloning the
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`git repo <https://gitlab.com/libvirt/libvirt-test-API/>`__.
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