Deploy an openQA on my locally virtual machine and create 3 openQA test case for nautilus.
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Hack Week 16
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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.
OpenQA Golang api client by hilchev
Description
I would like to make a simple cli tool to communicate with the OpenQA API
Goals
- OpenQA has a ton of information that is hard to get via the UI. A tool like this would make my life easier :)
- Would potentially make it easier in the future to make UI changes without Perl.
- Improve my Golang skills
Resources
- https://go.dev/doc/
- https://openqa.opensuse.org/api
Learn obs/ibs sync tool by xlai
Description
Once images/repo are built from IBS/OBS, there is a tool to sync the image from IBS/OBS to openqa asset directory and trigger openqa jobs accordingly.
Goals
Check how the tool is implemented, and be capable to add/modify our needed images/repo in future by ourselves.
Resources
- https://github.com/os-autoinst/openqa-trigger-from-obs
- https://gitlab.suse.de/openqa/openqa-trigger-from-ibs-plugin/-/tree/master?ref_type=heads
Setup a new openQA on more powerful server by JNa
Description
- currently local openQA storage is insufficient
Goals
-Migrate to more powerful machine
Resources
-Service Rainbow
New features in openqa-trigger-from-obs for openQA by jlausuch
Description
Implement new features in openqa-trigger-from-obs to make xml more flexible.
Goals
One of the features to be implemented: - Possibility to define "VERSION" and "ARCH" variables per flavor instead of global.
Resources
https://github.com/os-autoinst/openqa-trigger-from-obs