Project Description
Keeping a consolidated view of a project's progress is a non-trivial endeavor. There are far too many moving parts from its inception, such as planning, issue tracking, development, and testing. All the while one must keep track of some form of metrics to ensure that there's progress, and that the progress is happening in the right direction (or whatever is considered the right direction at the moment).
Traditionally we have enough tools to keep track of a project's progress in terms of planning, work planned, and work finished. Issue trackers are ubiquitous, and we're all used to using them and obtaining rough metrics out of them. However, just because work gets done doesn't mean the work being done is the right kind of work.
At its infancy, the s3gw project is going through a turmoil of development: we know where we want to go, we have a good idea how we'll get there, but we know a lot of things are going to be broken while we're on the road to get there.
While issue trackers help us keep track of work being done, these are not the right tools to keep track of how much of an API has been covered, for instance, or what kind of performance we can get out of the software at any given point in time. Even though one can keep track of these things in the form of issues, establishing baselines for different metrics and comparing against them then becomes a laborious, mind-numbing manual task that often has to involve spreadsheets.
Instead, we are proposing a dedicated web-based tracker, focused on running coverage and performance tests against the project at several points in time, keeping a history of results against known baselines, that we can then rely on when making decisions going forward and to evaluate where we are and how far we've come.
Goal for this Hackweek
The scope of this project is a bit far too broad for a one week development cycle. Being reasonable in goal setting, by the end of this hackweek we intend to have basic testing functionality and result reporting via a web interface.
Resources
Project's repository: github
Demo: TBA
This project is part of:
Hack Week 21
Activity
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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!
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The idea is testing Salt and Salt-ssh clients, but NOT traditional clients, which are deprecated.
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- 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
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- 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)
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FUSS
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How to make it happen?
I'm happy to help joining a call or we can do it async (online/in person is more fun). Ping me over email-slack and lets make the magic happen!. Doesn't need to be during hackweek, but we gotta kickstart the idea during hackweek ;)
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Dynamics
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Description
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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
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Bonus
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Day 2
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- Researching the possibility of creating a project logo with AI
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- Asking for advice on how to use open-webui itself better was frustratingly unfruitful both in trivial and more advanced regards.
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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.
[W]Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)[W]Onboarding (salt minion from UI, salt minion from bootstrap script, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator) --> Working for all 3 options (salt minion UI, salt minion bootstrap script and salt-ssh minion from the UI).[W]Package management (install, remove, update...) --> Installing a new package works, needs to test the rest.[I]Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already). No patches detected. Do we support patches for Debian at all?[W]Applying any basic salt state (including a formula)[W]Salt remote commands[ ]Bonus point: Java part for product identification, and monitoring enablement
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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
- 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.
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Description
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- https://apeatling.com/articles/part-2-building-your-training-data-for-fine-tuning/