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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Ansible to Salt integration by vizhestkov
Description
We already have initial integration of Ansible in Salt with the possibility to run playbooks from the salt-master on the salt-minion used as an Ansible Control node.
In this project I want to check if it possible to make Ansible working on the transport of Salt. Basically run playbooks with Ansible through existing established Salt (ZeroMQ) transport and not using ssh at all.
It could be a good solution for the end users to reuse Ansible playbooks or run Ansible modules they got used to with no effort of complex configuration with existing Salt (or Uyuni/SUSE Multi Linux Manager) infrastructure.
Goals
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- [v] Discover Ansible codebase to figure out possible ways of integration
- [v] Create Salt/Uyuni inventory module
- [v] Make basic modules to work with no using separate ssh connection, but reusing existing Salt connection
- [v] Test some most basic playbooks
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Improvements to osc (especially with regards to the Git workflow) by mcepl
Description
There is plenty of hacking on osc, where we could spent some fun time. I would like to see a solution for https://github.com/openSUSE/osc/issues/2006 (which is sufficiently non-serious, that it could be part of HackWeek project).
Update M2Crypto by mcepl
There are couple of projects I work on, which need my attention and putting them to shape:
Goal for this Hackweek
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Liz - Prompt autocomplete by ftorchia
Description
Liz is the Rancher AI assistant for cluster operations.
Goals
We want to help users when sending new messages to Liz, by adding an autocomplete feature to complete their requests based on the context.
Example:
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Example:
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Technical Overview
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Improve/rework household chore tracker `chorazon` by gniebler
Description
I wrote a household chore tracker named chorazon, which is meant to be deployed as a web application in the household's local network.
It features the ability to set up different (so far only weekly) schedules per task and per person, where tasks may span several days.
There are "tokens", which can be collected by users. Tasks can (and usually will) have rewards configured where they yield a certain amount of tokens. The idea is that they can later be redeemed for (surprise) gifts, but this is not implemented yet. (So right now one needs to edit the DB manually to subtract tokens when they're redeemed.)
Days are not rolled over automatically, to allow for task completion control.
We used it in my household for several months, with mixed success. There are many limitations in the system that would warrant a revisit.
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Goals
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Resources
tbd (Gitlab repo)
Song Search with CLAP by gcolangiuli
Description
Contrastive Language-Audio Pretraining (CLAP) is an open-source library that enables the training of a neural network on both Audio and Text descriptions, making it possible to search for Audio using a Text input. Several pre-trained models for song search are already available on huggingface
Goals
Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:
- Music Tagging;
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The code for this project will be entirely written using AI to better explore and demonstrate AI capabilities.
Result
In this MVP we implemented:
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We also documented what went well and what can be improved in the use of AI.
You can have a look at the result here:
Future implementation can be related to performance improvement and stability of the analysis.
References
- CLAP: The main model being researched;
- huggingface: Pre-trained models for CLAP;
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Create openSUSE images for Arm and RISC-V boards by avicenzi
Project Description
Create openSUSE images (or test generic EFI images) for Arm and RISC-V boards that are not yet supported.
Goal for 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.
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