Skip to main content

Store and report GBP build status

Project description

gbp-ps - A gbpcli plugin to display your Gentoo Build Publisher processes

Say you are a Gentoo Build Publisher user. Inevitably the time comes when you notice some activity on your build machine. For example the fans start spinning up. It goes on for a while and you start to wonder what's going on.

So you open a tab in your browser, point it at your Jenkins instance. You see there's a build happening. But what's being built? You click on the job. Then go to the console output. Ok now you can see what packages are being built. If only there were a better way.

Now there is.

gbpcli screenshot

gbp-ps is a ps-like subcommand for the Gentoo Build Publisher CLI. When installed, all you need to do is run gbp ps to see all the packages being built, for which machines they're being built for, and what phase of the build process the package is in.

How does it work?

The gbp-ps package includes a plugin for Gentoo Build Publisher that includes a table for keeping package build "processes" and a GraphQL interface for updating the process table. Each machine's build then updates the table via GraphQL during each phase of the build. This is done via the /etc/portage/bashrc file. For example each machines' build processes you'd want to query:

gbp-machines $ gbp ps-dump-bashrc >> base/configs/etc-portage/bashrc
# Check the above file to ensure, e.g., the URL is correct
git add base/configs/etc-portage/bashrc
git commit -m "base: add gbp-ps to bashrc"
git push

The contents of the bashrc send a GraphQL call to GPB. This is done for each phase (except "depend") of the build process.

gbp-ps includes a Django package that adds the GraphQL interface to Gentoo Build Publisher and maintains the process table.

So now that we have a process table and a way for the build containers to update it, we need a method to query the table. Again the GraphQL interface provides the interface to query the table. For the client side, gbp-ps adds a subcommand to gbpcli ("ps") that makes the query and displays it. And voila!

Installation

This assumes you already have a working Gentoo Build Publisher installation. If not refer to the GBP Install guide first.

Install the gbp-ps package onto the GBP instance.

cd /home/gbp
sudo -u gbp -H git -C gentoo-build-publisher pull
sudo -u gbp -H ./bin/pip install gbp-ps[backend]

Now add "gbp_ps" to your INSTALLED_APPS:

$EDITOR djangoproject/settings.py

Restart your web app.

systemctl restart gentoo-build-publisher-wsgi.service

Now the server side should be good to go.

For you individual builds each machine's <machine>/configs/etc-portage/bashrc contain the script above. If your machine doesn't have the file already then create it. Be sure to change the wget URL to use the actual name/address of your GBP instance (or localhost if your client and server are on the same machine.

Start a machine build that will actually build some packages. Then,

gbp ps

This should display the process table. When no processes are building the output will be empty.

There is also a "continuous" mode where gbp-ps will display the ebuild processes continuously on the screen:

gbp ps -c

To show the processes accompanied by a process bar, pass the --progress flag.

Run without Gentoo Build Publisher

gbp-ps is also capable of working "locally" without the need of a Gentoo Build Publisher instance. This allows you to use gbp-ps on a local machine. To do so, from the machine you want to run gbp-ps:

gbp ps-dump-bashrc --local >> /etc/portage/bashrc

Now whenever you run an emerge command, you should be able, in another terminal, run gbp ps to display the build processes from that command. Note that the local functionality is currently experimental.

"pipeline" process

If you've seen screenshots of gbp-ps that shows a "pipeline" process, that is being emitted from the Jenkins or GBP and not from the build container. The method for doing this will be documented at a later time.

Project details


Download files

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

Source Distribution

gbp_ps-1.3.0.tar.gz (38.2 kB view details)

Uploaded Source

Built Distribution

gbp_ps-1.3.0-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file gbp_ps-1.3.0.tar.gz.

File metadata

  • Download URL: gbp_ps-1.3.0.tar.gz
  • Upload date:
  • Size: 38.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for gbp_ps-1.3.0.tar.gz
Algorithm Hash digest
SHA256 c523666b17065c2a5a58e416eecbba89768217eef60555142e54708273340dec
MD5 922042cae1ff277f5e17b050ad20fb60
BLAKE2b-256 093315c89e0b6255d4f857ac5bd22d71b443e9786e580506c2a3252a1aba02a0

See more details on using hashes here.

File details

Details for the file gbp_ps-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: gbp_ps-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 35.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for gbp_ps-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7ec39ddbdb89ee7a225b9e6b3521fa56a5eaddef651041e86d35bed8f680ee42
MD5 e6b95cf572990e4963d9bb8356fcba45
BLAKE2b-256 e7f096927b1379042459d1edfc0de39695441082ddd5d0f646e9b3b844d19957

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page