THIS PROJECT HAS MOVED TO https://gitlab.com/cki-project/skt/.
Skt is a tool for monitoring Beaker jobs and resubmitting them.
Install dependencies needed for running skt like this:
sudo dnf install -y python3 beaker-client
Extra dependencies needed for running the testsuite:
sudo dnf install -y python3-mock
To run all tests execute:
python3 -m unittest discover tests
To run some specific tests, you can execute a specific test like this:
python3 -m unittest tests.test_runner
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
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 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.
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.
- Run tests on a built kernel using the specified "runner". Only
"Beaker" runner is currently supported. This command expects
Currently, skt is being used only to monitor Beaker test results. Section below describes this.
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.
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 Beaker job XML file,
which runs the tests.
Below is an example of this file. Note that it won't work as is.
<job>
<whiteboard>skt kernel-version</whiteboard>
<recipeSet>
<recipe whiteboard="kernel-version">
<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="http://url_to_kernel"/>
<param name="KVER" value="kernel-version"/>
</params>
</task>
</recipe>
</recipeSet>
</job>
Provided you have both Beaker access and a suitable job XML file, you can run the tests with the built kernel as such:
skt --rc <SKTRC> --state --workdir <WORKDIR> -vv run --wait
The <SKTRC>
is a config file with contents like this:
[runner] jobtemplate=beaker.xml jobowner=username blacklist=beaker-blacklist.txt
Here, <jobtemplate>
is the name of the file with the Beaker job XML
file. 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.
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
.
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/.