Project Description
Project aims to create tool for specific situations in which current cucumber testsuite used for Uyuni and SUSE Manager is too complex tool and, otherwise, in which manual testing is just still too much time consuming.
I would like to create tool, which quickly sets up all necessary stuff for area to be tested, so manual testing is limited to final tests and decision making if feature works or not.
This tool will be written in Rust language, because the language itself looks just cool (and has some very interesting concepts) and could be interesting choice for this purpose in combination of XMLRPC API provided by Uyuni/SUSE Manager as XMLRPC calls are very quick and handling of error states is easy.
Goal for this Hackweek
Implement following for retail features, so:
- retail fomulas configuration
- build hosts preparation
- creation of kiwi image profiles
- scheduling of kiwi image building
- applying of highstate
...will be possible to test via this tool.
Setup of retail formulas will be handled via json files already used to store their configuration.
Resources
This project is part of:
Hack Week 20
Activity
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Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
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FUSS
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Resources
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Objectives
- Give $audience a small window on how to get some questions answered either on the spot or within days of how some things at engineering are done
- Give Santiago Zarate from Quality Engineering a look into how $audience sees the engineering departments, and find out possibilities of further collaboration
How?
By running an "Ask me Anything" session, which is a format of a kind of open Q & A session, where participants ask the host multiple questions.
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 ;)
Rules
The rules are simple, the more questions the more fun it will be; while this will be only a window into engineering, it can also be the place to help all of us get to a similar level of understanding of the processes that are behind our respective areas of the organization.
Dynamics
The host will be monitoring the questions on some pre-agreed page, and try to answer to the best of their knowledge, if a question is too difficult or the host doesn't have the answer, he will do his best to provide an answer at a later date.
Atendees are encouraged to add questions beforehand; in the case there aren't any, we would be looking at how Quality Engineering tests new products or performs regression tests
Agenda
- Introduction of Santiago Zarate, Product Owner of Quality Engineering Core team
- Introduction of the Group/Team/Persons interested
- Ice breaker
- AMA time! Add your questions $PAGE
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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
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- 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
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Hack on isotest-ng - a rust port of isotovideo (os-autoinst aka testrunner of openQA) by szarate
Description
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In reality, I wanted to see if this could be done, and ByteOtter proved that it could be, while doing an amazing job at hacking a vnc console, and helping me understand better what RuPerl needs to work.
I plan to keep working on this for the next few years, and while I don't aim for feature completion or replacing isotovideo tih isotest-ng (name in progress), I do plan to be able to use it on a daily basis, using specialized tooling with interfaces, instead of reimplementing everything in the backend
Todo
- Add
maketargets for testability, e.g "spawn qemu and type" - Add image search matching algorithm
- Add a Null test distribution provider
- Add a Perl Test Distribution Provider
- Fix unittests https://github.com/os-autoinst/isotest-ng/issues/5
- Research OpenTofu how to add new hypervisors/baremetal to OpenTofu
- Add an interface to openQA cli
Goals
- Implement at least one of the above, prepare proposals for GSoC
- Boot a system via it's BMC
Resources
See https://github.com/os-autoinst/isotest-ng