skt - sonic kernel testing

Skt is a tool for automatically fetching, building, and testing kernel patches published on Patchwork instances.

Dependencies

Install dependencies needed for running skt like this:

sudo dnf install -y python2 beaker-client

Dependencies needed to build kernels:

sudo dnf install -y bison flex dnf-plugins-core
sudo dnf builddep -y kernel-`uname -r`

Extra dependencies needed for running the testsuite:

sudo dnf install -y python2-mock PyYAML

Run tests

To run all tests execute:

python -m unittest discover tests

To run some specific tests, you can execute a specific test like this:

python -m unittest tests.test_runner

Installation

Install skt directly from git:

pip install git+https://github.com/RH-FMK/skt

If support for beaker is required, install skt with the beaker extras:

pip install git+https://github.com/rh-fmk/skt.git#egg-project[beaker]

Test the skt executable by printing the help text:

skt -h

Usage

The skt tool implements several "commands", and each of those accepts its own command-line options and arguments. However there are also several "global" command-line options, shared by all the commands. To get a summary of the global options and available commands, run skt --help. To get a summary of particular command's options and arguments, run skt <COMMAND> --help, where <COMMAND> would be the command of interest.

Most of command-line options can also be read by skt from its configuration file, which is ~/.sktrc by default, but can also be specified using the global --rc command-line option. However, there are some command-line options which cannot be stored in the configuration file, and there are some options read from the configuration file by some skt commands, which cannot be passed via the command line. Some of the latter are required for operation.

Most skt commands can write their state to the configuration file as they work, so that the other commands can take the workflow task over from them. Some commands can receive that state from the command line, via options, but some require some information stored in the configuration file. For this reason, to support a complete workflow, it is necessary to always make the commands transfer their state via the configuration file. That can be done by passing the global --state option with every command.

To separate the actual configuration from the specific workflow's state, and to prevent separate tasks from interfering with each other, you can store your configuration in a separate (e.g. read-only) file, copy it to a new file each time you want to do something, then discard the file after the task is complete. Note that reusing a configuration file with state added can break some commands in unexpected ways. That includes repeating a previous command after the next command in the workflow has already ran.

The following commands are supported by skt:

run
- Run tests on a built kernel using the specified "runner". Only "Beaker" runner is currently supported. This command expects publish command to have completed succesfully.

The following is a walk through the process of checking out a kernel commit, applying a patch from Patchwork, building the kernel, running the tests, and reporting the results.

All the following commands use the -vv option to increase verbosity of the command's output, so it's easier to debug problems. Remove the option for quieter, shorter output.

Run

To run the tests you will need access to a Beaker instance configured to the point where bkr whoami completes successfully. You will also need a template file for generating a Beaker job XML, which runs the tests. The template file can contain the following placeholder strings replaced by skt before submitting the job XML to Beaker:

##KVER##
- The kernel release version output by make -s kernelrelease.
##KPKG_URL##
- The URL of the kernel tarball, generated and published to with publish.

Below is an example of a superficial template. Note that it won't work as is.

<job>
  <whiteboard>skt ##KVER##</whiteboard>
  <recipeSet>
    <recipe whiteboard="##KVER##">
      <distroRequires>
        <and>
          <distro_family op="=" value="Fedora26"/>
          <distro_tag op="=" value="RELEASED"/>
          <distro_variant op="=" value="Server"/>
          <distro_arch op="=" value="x86_64"/>
        </and>
      </distroRequires>
      <hostRequires>
        <and>
          <arch op="=" value="x86_64"/>
        </and>
      </hostRequires>
      <repos/>
      <partitions/>
      <ks_appends/>
      <task name="/distribution/install" role="STANDALONE"/>
      <task name="/distribution/kpkginstall" role="STANDALONE">
        <params>
          <param name="KPKG_URL" value="##KPKG_URL##"/>
          <param name="KVER" value="##KVER##"/>
        </params>
      </task>
    </recipe>
  </recipeSet>
</job>

Provided you have both Beaker access and a suitable job XML template, you can run the tests with the built kernel as such:

skt --rc <SKTRC> --state --workdir <WORKDIR> -vv run \
    --runner beaker '{"jobtemplate": "<JOBTEMPLATE>"}' \
    --wait

Here, <JOBTEMPLATE> would be the name of the file with the Beaker job XML template. If you remove the --wait option, the command will return once the job was submitted. Otherwise it will wait for its completion and report the result.

In case running on specific hosts is not desired, one can use a simple text file containing one hostname per line, and pass the file via blacklist parameter. Tests will not attempt to run on machines which names are specified in the file. This is useful for example as a temporary fix in case the hardware is buggy and the maintainer of the pool doesn't have time to exclude it from the pool.

E.g. to run the tests from a job XML template named beakerjob.xml and exclude machines in blacklist.txt file execute:

skt --rc skt-rc --state --workdir skt-workdir -vv run \
    --runner beaker '{"jobtemplate": "beakerjob.xml", \
                  "blacklist": "blacklist.txt"}, \
    --wait

Developer Guide

Developers can test changes to skt by using "development mode" from python's setuptools package. First, cd to the directory where skt is cloned and run:

pip install --user -e .

This installs skt in a mode where any changes within the repo are immediately available simply by running skt. There is no need to repeatedly run pip install . after each change.

Using a virtual environment is highly recommended. This keeps skt and all its dependencies in a separate Python environment. Developers can build a virtual environment for skt quickly:

virtualenv ~/skt-venv/
source ~/skt-venv/bin/activate
pip install -e .

To deactivate the virtual environment, simply run deactivate.

License

skt is distributed under GPLv2 license.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

License

veruu/skt

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