Often when we test maintenance updates or when we decide to push an update for a package we want to know what that change may cause. Right now it is really difficult to figure out what package depends on a given package.
Motivation
When I was looking for orphan packages in SLE or in openSUSE what could start maintaining I was looking for low risk packages. Naturally for a less experienced package maintainer it is comforting to know that the package they start making updates for is not going to mess up hundreds of other packages. So when choosing a package to maintain it would be handy to know what other packages depend on the given package. Also when we are doing maintenance update validation for SLE it would be nice to know what other packages we should test with more attention. We test user scenarios and the whole platform, but if a package X depends on package Y and package Y gets a maintenance update then maybe it is a good idea to test the package X with extra attention.
Goal
- Refresh a bit the rdepends project
- Create a new project under the zypper development project in the Open Build Service
- Push an initial version of a working prototype
- Figure out if the plugin can be done in python without executing the zypper itself
Resources
This project is part of:
Hack Week 22
Activity
Comments
Similar Projects
"autoremove" functionality for zypper by e_bischoff
The purpose would be to have the equivalent of Ubuntu's "apt-get autoremove" functionality.
When you install package P, it might draw in dependancies D1, D2, ... Dn automatically.
When you later uninstall P, the dependancies D1, D2, ..., Dn might remain on your system.
If you keep installing and uninstalling packages, after a while your system remains cluttered with things you don't need.
The idea would be to mark all dependancies that were installed but not explicitely requested as "installed automatically". Then a command like "zypper autoremove" could remove them at once if they are not needed anymore.
Approaches seen online
After scouring forms for solutions these are some alias's used to replicate the functionality
zypper packages --unneeded | awk -F'|' 'NR==0 || NR==1 || NR==2 || NR==3 || NR==4 {next} {print $3}' | grep -v Name | sudo xargs zypper remove --clean-depsThis one is a script and has bashisms
bash mapfile -t unneeded < <(zypper --quiet pa --unneeded | awk '$1 == "i" { print $5, "-", $7 }') (( ${#unneeded@]} )) && sudo zypper --quiet rm --clean-deps --details "${unneeded@]}"sudo zypper rm $(zypper pa --unneeded | awk '/i / {print $3}' FS='|' | uniq | tr -d ' ')
Based on testing zypper packages --orphaned provides packages that are not in any repo, even if a user has explicitly installed them, so --orphaned may not be the way to go, instead focusing on --unneeded
Ansible for add-on management by lmanfredi
Description
Machines can contains various combinations of add-ons and are often modified during the time.
The list of repos can change so I would like to create an automation able to reset the status to a given state, based on metadata available for these machines
Goals
Create an Ansible automation able to take care of add-on (repo list) configuration using metadata as reference
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- Machines
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- Basic VM Guest management
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zypper_repository_list - ansible-collections community.general
Results
Created WIP project Ansible-add-on-openSUSE
Run local LLMs with Ollama and explore possible integrations with Uyuni by PSuarezHernandez
Description
Using Ollama you can easily run different LLM models in your local computer. This project is about exploring Ollama, testing different LLMs and try to fine tune them. Also, explore potential ways of integration with Uyuni.
Goals
- Explore Ollama
- Test different models
- Fine tuning
- Explore possible integration in Uyuni
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- https://ollama.com/
- https://huggingface.co/
- https://apeatling.com/articles/part-2-building-your-training-data-for-fine-tuning/
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
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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
- Chat interface-supported development is providing good starting points and open-webui being open source is more flexible than Gemini. Although currently some fancy features such as grounding and generated podcasts are missing.
- Allison still has to be very experienced with openQA to use a chat interface for test review. Publicly available system prompts would make that easier, though.
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
Symbol Relations by hli
Description
There are tools to build function call graphs based on parsing source code, for example, cscope.
This project aims to achieve a similar goal by directly parsing the disasembly (i.e. objdump) of a compiled binary. The assembly code is what the CPU sees, therefore more "direct". This may be useful in certain scenarios, such as gdb/crash debugging.
Detailed description and Demos can be found in the README file:
Supports x86 for now (because my customers only use x86 machines), but support for other architectures can be added easily.
Tested with python3.6
Goals
Any comments are welcome.
Resources
https://github.com/lhb-cafe/SymbolRelations
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ClusterOps - Easily install and manage your personal kubernetes cluster by andreabenini
Description
ClusterOps is a Kubernetes installer and operator designed to streamline the initial configuration
and ongoing maintenance of kubernetes clusters. The focus of this project is primarily on personal
or local installations. However, the goal is to expand its use to encompass all installations of
Kubernetes for local development purposes.
It simplifies cluster management by automating tasks and providing just one user-friendly YAML-based
configuration config.yml.
Overview
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- Ongoing Maintenance: Performs routine maintenance tasks such as upgrades, security updates, and resource monitoring.
- Extensibility: Easily extend functionality with custom plugins and configurations.
- Self-Healing: Detects and recovers from common cluster issues, ensuring stability, idempotence and reliability. Same operation can be performed multiple times without changing the result.
- Discreet: It works only on what it knows, if you are manually configuring parts of your kubernetes and this configuration does not interfere with it you can happily continue to work on several parts and use this tool only for what is needed.
Features
- distribution and engine independence. Install your favorite kubernetes engine with your package
manager, execute one script and you'll have a complete working environment at your disposal.
- Basic config approach. One single
config.ymlfile with configuration requirements (add/remove features): human readable, plain and simple. All fancy configs managed automatically (ingress, balancers, services, proxy, ...). - Local Builtin ContainerHub. The default installation provides a fully configured ContainerHub available locally along with the kubernetes installation. This configuration allows the user to build, upload and deploy custom container images as they were provided from external sources. Internet public sources are still available but local development can be kept in this localhost server. Builtin ClusterOps operator will be fetched from this ContainerHub registry too.
- Kubernetes official dashboard installed as a plugin, others planned too (k9s for example).
- Kubevirt plugin installed and properly configured. Unleash the power of classic virtualization (KVM+QEMU) on top of Kubernetes and manage your entire system from there, libvirtd and virsh libs are required.
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Planned features (Wishlist / TODOs)
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