This hackweek, we will be hacking on Weblate and adding features that we need to use it as a translation tool for openSUSE!
Chief among those is a better permission management that would allow us to assign different rights to different projects, languages, distributions etc.
There are also smaller things, like per-project whiteboards, filtered views ("show all opensuse projects" / "show only SLE projects") and so on.
we want to solve the following github issues:
We will be hanging out at #weblate on the suse internal IRC. If someone from outside SUSE wants to join, we will move the channel to freenode. I'll try to watch the list of participants, but please leave a comment if you want to attract my attention ;)
This project is part of:
Hack Week 13
Activity
Comments
Be the first to comment!
Similar Projects
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
- Put M2Crypto into better shape (most issues closed, all pull requests processed)
- More fun to learn jujutsu
- Play more with Gemini, how much it help (or not).
- Perhaps, also (just slightly related), help to fix vis to work with LuaJIT, particularly to make vis-lspc working.
Collection and organisation of information about Bulgarian schools by iivanov
Description
To achieve this it will be necessary:
- Collect/download raw data from various government and non-governmental organizations
- Clean up raw data and organise it in some kind database.
- Create tool to make queries easy.
- Or perhaps dump all data into AI and ask questions in natural language.
Goals
By selecting particular school information like this will be provided:
- School scores on national exams.
- School scores from the external evaluations exams.
- School town, municipality and region.
- Employment rate in a town or municipality.
- Average health of the population in the region.
Resources
Some of these are available only in bulgarian.
- https://danybon.com/klasazia
- https://nvoresults.com/index.html
- https://ri.mon.bg/active-institutions
- https://www.nsi.bg/nrnm/ekatte/archive
Results
- Information about all Bulgarian schools with their scores during recent years cleaned and organised into SQL tables
- Information about all Bulgarian villages, cities, municipalities and districts cleaned and organised into SQL tables
- Information about all Bulgarian villages and cities census since beginning of this century cleaned and organised into SQL tables.
- Information about all Bulgarian municipalities about religion, ethnicity cleaned and organised into SQL tables.
- Data successfully loaded to locally running Ollama with help to Vanna.AI
- Seems to be usable.
TODO
- Add more statistical information about municipalities and ....
Code and data
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;
- Free text search;
- Integration with an LLM (for example, with MCP or the OpenAI API) for music suggestions based on your own library.
The code for this project will be entirely written using AI to better explore and demonstrate AI capabilities.
Result
In this MVP we implemented:
- Async Song Analysis with Clap model
- Free Text Search of the songs
- Similar song search based on vector representation
- Containerised version with web interface
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;
- Free Music Archive: Creative Commons songs that can be used for testing;
Enhance git-sha-verify: A tool to checkout validated git hashes by gpathak
Description
git-sha-verify is a simple shell utility to verify and checkout trusted git commits signed using GPG key. This tool helps ensure that only authorized or validated commit hashes are checked out from a git repository, supporting better code integrity and security within the workflow.
Supports:
- Verifying commit authenticity signed using gpg key
- Checking out trusted commits
Ideal for teams and projects where the integrity of git history is crucial.
Goals
A minimal python code of the shell script exists as a pull request.
The goal of this hackweek is to:
- DONE: Add more unit tests
- New and more tests can be added later
- New and more tests can be added later
- Partially DONE: Make the python code modular
- DONE: Add code coverage if possible
Resources
- Link to GitHub Repository: https://github.com/openSUSE/git-sha-verify
Improve chore and screen time doc generator script `wochenplaner` by gniebler
Description
I wrote a little Python script to generate PDF docs, which can be used to track daily chore completion and screen time usage for several people, with one page per person/week.
I named this script wochenplaner and have been using it for a few months now.
It needs some improvements and adjustments in how the screen time should be tracked and how chores are displayed.
Goals
- Fix chore field separation lines
- Change screen time tracking logic from "global" (week-long) to daily subtraction and weekly addition of remainders (more intuitive than current "weekly time budget method)
- Add logic to fill in chore fields/lines, ideally with pictures, falling back to text.
Resources
tbd (Gitlab repo)