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Management solution for openSUSE based on Salt-stack
Saltstack is the only configuration management solution that does not look like a ball of hair.
https://github.com/dmacvicar/playground/tree/minimanager-reactjs/python/minimanager is a prototype of a Spacewalk-like console using Spacewalk as the server and client engine.
It uses Python, Flask and React.js.
The goal would be a simple user interface, and not a port of the command line or json files to a web user interface, like most puppet/chef/salt web user interfaces look like.
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Hack Week 11
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Agama installer on-line demo by lslezak
Description
The Agama installer provides a quite complex user interface. We have some screenshots on the web page but as it is basically a web application it would be nice to have some on-line demo where users could click and check it live.
The problem is that the Agama server directly accesses the hardware (storage probing) and loads installation repositories. We cannot easily mock this in the on-line demo so the easiest way is to have just a read-only demo. You could explore the configuration options but you could not change anything, all changes would be ignored.
The read-only demo would be a bit limited but I still think it would be useful for potential users get the feeling of the new Agama installer and get familiar with it before using in a real installation.
As a proof of concept I already created this on-line demo.
The implementation basically builds Agama in two modes - recording mode where it saves all REST API responses and replay mode where it for the REST API requests returns the previously recorded responses. Recording in the browser is inconvenient and error prone, there should be some scripting instead (see below).
Goals
- Create an Agama on-line demo which can be easily tested by users
- The Agama installer is still in alpha phase and in active development, the online demo needs to be easily rebuilt with the latest Agama version
- Ideally there should be some automation so the demo page is rebuilt automatically without any developer interactions (once a day or week?)
TODO
- Use OpenAPI to get all Agama REST API endpoints, write a script which queries all the endpoints automatically and saves the collected data to a file (see this related PR).
- Write a script for starting an Agama VM (use libvirt/qemu?), the script should ensure we always use the same virtual HW so if we need to dump the latest REST API state we get the same (or very similar data). This should ensure the demo page does not change much regarding the storage proposal etc...
- Fix changing the product, currently it gets stuck after clicking the "Select" button.
- Move the mocking data (the recorded REST API responses) outside the Agama sources, it's too big and will be probably often updated. To avoid messing the history keep it in a separate GitHub repository
- Allow changing the UI language
- Display some note (watermark) in the page so it is clear it is a read-only demo (probably with some version or build date to know how old it is)
- Automation for building new demo page from the latest sources. There should be some check which ensures the recorded data still matches the OpenAPI specification.
Changing the UI language
This will be quite tricky because selecting the proper translation file is done on the server side. We would probably need to completely re-implement the logic in the browser side and adapt the server for that.
Also some REST API responses contain translated texts (storage proposal, pattern names in software). We would need to query the respective endpoints in all supported languages and return the correct response in runtime according to the currently selected language.
Resources
- Agama sources
- Experimental proof of concept demo
- The respective source code change
Make more sense of openQA test results using AI by livdywan
Description
AI has the potential to help with something many of us spend a lot of time doing which is making sense of openQA logs when a job fails.
User Story
Allison Average has a puzzled look on their face while staring at log files that seem to make little sense. Is this a known issue, something completely new or maybe related to infrastructure changes?
Goals
- Leverage a chat interface to help Allison
- Create a model from scratch based on data from openQA
- Proof of concept for automated analysis of openQA test results
Bonus
- Use AI to suggest solutions to merge conflicts
- This would need a merge conflict editor that can suggest solving the conflict
- Use image recognition for needles
Resources
Timeline
Day 1
- Conversing with open-webui to teach me how to create a model based on openQA test results
- Asking for example code using TensorFlow in Python
- Discussing log files to explore what to analyze
- Drafting a new project called Testimony (based on Implementing a containerized Python action) - the project name was also suggested by the assistant
Day 2
- Using NotebookLLM (Gemini) to produce conversational versions of blog posts
- Researching the possibility of creating a project logo with AI
- Asking open-webui, persons with prior experience and conducting a web search for advice
Highlights
- I briefly tested compared models to see if they would make me more productive. Between llama, gemma and mistral there was no amazing difference in the results for my case.
- Convincing the chat interface to produce code specific to my use case required very explicit instructions.
- Asking for advice on how to use open-webui itself better was frustratingly unfruitful both in trivial and more advanced regards.
- Documentation on source materials used by LLM's and tools for this purpose seems virtually non-existent - specifically if a logo can be generated based on particular licenses
Outcomes
SUSE AI Meets the Game Board by moio
Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!
AI + Board Games
Board games have long been fertile ground for AI innovation, pushing the boundaries of capabilities such as strategy, adaptability, and real-time decision-making - from Deep Blue's chess mastery to AlphaZero’s domination of Go. Games aren’t just fun: they’re complex, dynamic problems that often mirror real-world challenges, making them interesting from an engineering perspective.
As avid board gamers, aspiring board game designers, and engineers with careers in open source infrastructure, we’re excited to dive into the latest AI techniques first-hand.
Our goal is to develop an all-open-source, all-green AWS-based stack powered by some serious hardware to drive our board game experiments forward!
Project Goals
Set Up the Stack:
- Install and configure the TAG and PyTAG frameworks on SUSE Linux Enterprise Base Container Images.
- Integrate with the SUSE AI stack for GPU-accelerated training on AWS.
- Validate a sample GPU-accelerated PyTAG workload on SUSE AI.
- Ensure the setup is entirely repeatable with Terraform and configuration scripts, documenting results along the way.
Design and Implement AI Agents:
- Develop AI agents for the two board games, incorporating Statistical Forward Planning and Deep Reinforcement Learning techniques.
- Fine-tune model parameters to optimize game-playing performance.
- Document the advantages and limitations of each technique.
Test, Analyze, and Refine:
- Conduct AI vs. AI and AI vs. human matches to evaluate agent strategies and performance.
- Record insights, document learning outcomes, and refine models based on real-world gameplay.
Technical Stack
- Frameworks: TAG and PyTAG for AI agent development
- Platform: SUSE AI
- Tools: AWS for high-performance GPU acceleration
Why This Project Matters
This project not only deepens our understanding of AI techniques by doing but also showcases the power and flexibility of SUSE’s open-source infrastructure for supporting high-level AI projects. By building on an all-open-source stack, we aim to create a pathway for other developers and AI enthusiasts to explore, experiment, and deploy their own innovative projects within the open-source space.
Our Motivation
We believe hands-on experimentation is the best teacher.
Combining our engineering backgrounds with our passion for board games, we’ll explore AI in a way that’s both challenging and creatively rewarding. Our ultimate goal? To hack an AI agent that’s as strategic and adaptable as a real human opponent (if not better!) — and to leverage it to design even better games... for humans to play!
Team Hedgehogs' Data Observability Dashboard by gsamardzhiev
Description
This project aims to develop a comprehensive Data Observability Dashboard that provides r insights into key aspects of data quality and reliability. The dashboard will track:
Data Freshness: Monitor when data was last updated and flag potential delays.
Data Volume: Track table row counts to detect unexpected surges or drops in data.
Data Distribution: Analyze data for null values, outliers, and anomalies to ensure accuracy.
Data Schema: Track schema changes over time to prevent breaking changes.
The dashboard's aim is to support historical tracking to support proactive data management and enhance data trust across the data function.
Goals
Although the final goal is to create a power bi dashboard that we are able to monitor, our goals is to 1. Create the necessary tables that track the relevant metadata about our current data 2. Automate the process so it runs in a timely manner
Resources
AWS Redshift; AWS Glue, Airflow, Python, SQL
Why Hedgehogs?
Because we like them.
Saline (state deployment control and monitoring tool for SUSE Manager/Uyuni) by vizhestkov
Project Description
Saline is an addition for salt used in SUSE Manager/Uyuni aimed to provide better control and visibility for states deploymend in the large scale environments.
In current state the published version can be used only as a Prometheus exporter and missing some of the key features implemented in PoC (not published). Now it can provide metrics related to salt events and state apply process on the minions. But there is no control on this process implemented yet.
Continue with implementation of the missing features and improve the existing implementation:
authentication (need to decide how it should be/or not related to salt auth)
web service providing the control of states deployment
Goal for this Hackweek
Implement missing key features
Implement the tool for state deployment control with CLI
Resources
https://github.com/openSUSE/saline
Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil
Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!
Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.
For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.
No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)
The idea is testing Salt and Salt-ssh clients, but NOT traditional clients, which are deprecated.
To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):
- Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
- Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
- Package management (install, remove, update...)
- Patching
- Applying any basic salt state (including a formula)
- Salt remote commands
- Bonus point: Java part for product identification, and monitoring enablement
- Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
- Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
- Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)
If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)
- If you don't have knowledge about some of the steps: ask the team
- If you still don't know what to do: switch to another distribution and keep testing.
This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)
Pending
FUSS
FUSS is a complete GNU/Linux solution (server, client and desktop/standalone) based on Debian for managing an educational network.
https://fuss.bz.it/
Seems to be a Debian 12 derivative, so adding it could be quite easy.
[ ]Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)[ ]Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)[ ]Package management (install, remove, update...)[ ]Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already)[ ]Applying any basic salt state (including a formula)[ ]Salt remote commands[ ]Bonus point: Java part for product identification, and monitoring enablement
New openSUSE-welcome by lkocman
Project Description
Let's revisit our existing openSUSE welcome app.
My goal was to show Leap 16 in a new coat. Welcome app adds to the first time use experience. We've recently added donation button to our existing welcome.
Some things that I recently wanted to address were EOL and possibly upgrade notification.
I've already done some experiments with mint welcome app, but not sure if it's better than the existing one.
There is also a PR to rework existing app https://github.com/openSUSE/openSUSE-welcome/pull/36 (this should be considered as an option too)
Goal for this Hackweek
New welcome app, possibly with EOL notification for Leap.
1) Welcome application(s) with (rebrand changes) maintained under github.com/openSUSE
2) Application is submitted to openSUSE:Factory && openSUSE:Leap:16.0
3) Updated needles in openQA (probably post hackweek)
Resources
Reddit discussion about the best welcome app out there.
Github repo for the current welcome app.
Create openSUSE images for Arm/RISC-V boards by avicenzi
Project Description
Create openSUSE images (or test generic EFI images) for Arm and/or RISC-V boards that are not yet supported.
Goal for this Hackweek
Create bootable images of Tumbleweed for SBCs that currently have no images available or are untested.
Consider generic EFI images where possible, as some boards can hold a bootloader.
Document in the openSUSE Wiki how to flash and use the image for a given board.
Boards that I have around and there are no images:
- Rock 3B
- Nano PC T3 Plus
- Lichee RV D1
- StartFive VisionFive (has some image needs testing)
Hack Week 22
Hack Week 21
Resources
Digital art wallpapers for openSUSE Leap and Tumbleweed by lkocman
Description
We've enrolled set of new wallpapers to both Leap 16 and Tumbleweed as part of https://news.opensuse.org/2024/10/26/leap-tw-get-makeovers/
We've previewed digital art wallpapers which were not part of the initial drop. I'd like to spend time on hackweek to finialize my current Taipei (mountains) and Mauritius digital art wallpapers.
Goals
Finalize existing two digital art wallpapers for Leap and Tumbleweed https://github.com/openSUSE/branding/issues/155 Make them available as part of leap16 dir in https://github.com/openSUSE/wallpapers and update (This makes is available to Tumbleweed users as well). Update https://build.opensuse.org/package/show/X11:common:Factory/wallpapers-openSUSE-extra && Leap:16.0 && Factory.
Resources
https://github.com/openSUSE/branding/issues/155 The mauritius draft can be found in https://github.com/lkocman/geo-wallpapers
Enlightenment in Leap 16 by simotek
Description
Get the Enlightenment stack + X11 building and running on the Leap 16 codebase.
Goals
- Get enlightenment / terminology compiling for Leap 16
- Test that they are running correctly in a Virtual Machine.
Resources
Update Haskell ecosystem in Tumbleweed to GHC-9.10.x by psimons
Description
We are currently at GHC-9.8.x, which a bit old. So I'd like to take a shot at the latest version of the compiler, GHC-9.10.x. This is gonna be interesting because the new version requires major updates to all kinds of libraries and base packages, which typically means patching lots of packages to make them build again.
Goals
Have working builds of GHC-9.10.x and the required Haskell packages in 'devel:languages:haskell` so that we can compile:
git-annexpandocxmonadcabal-install
Resources
- https://build.opensuse.org/project/show/devel:languages:haskell/
- https://github.com/opensuse-haskell/configuration/
- #discuss-haskell
- https://www.twitch.tv/peti343