Kcidb is a package for submitting and querying Linux Kernel CI reports, and for maintaining the service behind that.
See the collected results on our dashboard. Write to [email protected] if you want to start submitting results from your CI system, or if you want to receive automatic notifications of arriving results.
Kcidb requires Python v3.6 or later.
To install the package for the current user, run this command:
pip3 install --user <SOURCE>
Where <SOURCE>
is the location of the package source, e.g. a git repo:
pip3 install --user git+https://github.com/kernelci/kcidb.git
or a directory path:
pip3 install --user .
In any case, make sure your PATH includes the ~/.local/bin
directory, e.g.
with:
export PATH="$PATH":~/.local/bin
Before you execute any of the tools make sure you have the path to your Google
Cloud credentials stored in the GOOGLE_APPLICATION_CREDENTIALS
variable.
E.g.:
export GOOGLE_APPLICATION_CREDENTIALS=~/.credentials.json
To submit records use kcidb-submit
, to query records - kcidb-query
.
Both use the same JSON schema on standard input and output respectively, which
can be displayed by kcidb-schema
. You can validate the data without
submitting it using the kcidb-validate
tool.
See Submission HOWTO for details.
You can use the kcidb
module to do everything the command-line tools do.
First, make sure you have the GOOGLE_APPLICATION_CREDENTIALS
environment
variable set and pointing at your Google Cloud credentials file. Then you can
create the client with kcidb.Client(...)
and call its submit(...)
and query(...)
methods.
You can find the I/O schema in kcidb.io.schema.LATEST.json
and use
kcidb.io.schema.validate()
to validate your I/O data.
See the source code for additional documentation.
If you want to hack on the source code, install the package in the editable
mode with the -e/--editable
option, and with "dev" extra included. E.g.:
pip3 install --user --editable '.[dev]'
The latter installs kcidb executables which use the modules from the source
directory, and changes to them will be reflected immediately without the need
to reinstall. It also installs extra development tools, such as flake8
and
pylint
.
Before releasing make sure the README.md and SUBMISSION_HOWTO.md are up to date.
To make a release tag the release commit with v<NUMBER>
, where <NUMBER>
is
the next release number, e.g. v3
. The very next commit after the tag should
update the version number in setup.py
to be the next one. I.e. continuing
the above example, it should be 4
.