Since this will be my first real "from the start" publication the goal for me has more to do with the experience of publishing the projects, use of the public hosting site and access tools, particularly git.
The projects that will be published are:
Python based
Qt 6. based
One is a V4L2 device regular frame capture to jpeg file application (I use it ultimately to create daily timelapse videos of the vew from my home)
This application has a view on the main window that shows a simulation of the time-of-day using a graphical model (a sun passing through a ground/sky view with colors that are based on day time and a moon passing through a ground/sky view with colors that are based on night time)
One is a three part audio meter where the parts are all in the same UI window and are:
a) A live self-relative dB meter at a user chosen sample rate and update frequency
b) A moving day-view track of the minimum and maximum signal level
c) A moving day-view track of the audio frequency content via FFT
The current state of both projects is usable, almost fully functional, with the potential for some improvements (e.g. optimizing 5 to reduce it's runtime overhead, which is difficult for an app doing filtered, windowed and FFTed liveaudio sample data)
Both apps make decent example Python Qt6, a v4L2 client and audio capture applications
My interest in 3 is the creation of daily timelapse videos of the view from my home because in snow storms the videos look great but I wanted the frame capture automated and just left to run. My interest in 5 was a matter of exploring audio capture client interfaces with no real purpose, ergo two different signal level meters and an audio spectrum content meter were "things to do".
The audio meter application could be developed by anyone with access to monitor for problems at a location, which is one of the reasons for wanting to publish it for the benefit of others.
Both would be GPL3 licensed.
This project is part of:
Hack Week 23
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openQA log viewer by mpagot
Description
*** Warning: Are You at Risk for VOMIT? ***
Do you find yourself staring at a screen, your eyes glossing over as thousands of lines of text scroll by? Do you feel a wave of text-based nausea when someone asks you to "just check the logs"?
You may be suffering from VOMIT (Verbose Output Mental Irritation Toxicity).
This dangerous, work-induced ailment is triggered by exposure to an overwhelming quantity of log data, especially from parallel systems. The human brain, not designed to mentally process 12 simultaneous autoinst-log.txt files, enters a state of toxic shock. It rejects the "Verbose Output," making it impossible to find the one critical error line buried in a 50,000-line sea of "INFO: doing a thing."
Before you're forced to rm -rf /var/log in a fit of desperation, we present the digital antacid.
No panic: we have The openQA Log Visualizer
This is the UI antidote for handling toxic log environments. It bravely dives into the chaotic, multi-machine mess of your openQA test runs, finds all the related, verbose logs, and force-feeds them into a parser.
Goals
Work on the existing POC openqa-log-visualizer about few specific tasks:
- add support for more type of logs
- extend the configuration file syntax beyond the actual one
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Find some beta-tester and collect feedback and ideas about features
If time allow for it evaluate other UI frameworks and solutions (something more simple to distribute and run, maybe more low level to gain in performance).
Resources
mgr-ansible-ssh - Intelligent, Lightweight CLI for Distributed Remote Execution by deve5h
Description
By the end of Hack Week, the target will be to deliver a minimal functional version 1 (MVP) of a custom command-line tool named mgr-ansible-ssh (a unified wrapper for BOTH ad-hoc shell & playbooks) that allows operators to:
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The MVP should enable day-to-day operations to efficiently target thousands of machines with a single, consistent interface.
Goals
Primary Goals (MVP):
Build a functional CLI tool (mgr-ansible-ssh) capable of executing shell commands on multiple remote hosts using Ansible Runner. Test the tool across a large distributed environment (1000+ machines) to validate its performance and reliability.
Looking forward to significantly reducing the zypper deployment time across all 351 RMT VM servers in our MLM cluster by eliminating the dependency on the taskomatic service, bringing execution down to a fraction of the current duration. The tool should also support multiple runtime flags, such as:
mgr-ansible-ssh: Remote command execution wrapper using Ansible Runner
Usage: mgr-ansible-ssh [--help] [--version] [--inventory INVENTORY]
[--run RUN] [--playbook PLAYBOOK] [--limit LIMIT]
[--forks FORKS] [--dry-run] [--no-ansible-output]
Required Arguments
--inventory, -i Path to Ansible inventory file to use
Any One of the Arguments Is Required
--run, -r Execute the specified shell command on target hosts
--playbook, -p Execute the specified Ansible playbook on target hosts
Optional Arguments
--help, -h Show the help message and exit
--version, -v Show the version and exit
--limit, -l Limit execution to specific hosts or groups
--forks, -f Number of parallel Ansible forks
--dry-run Run in Ansible check mode (requires -p or --playbook)
--no-ansible-output Suppress Ansible stdout output
Secondary/Stretched Goals (if time permits):
- Add pretty output formatting (success/failure summary per host).
- Implement basic logging of executed commands and results.
- Introduce safety checks for risky commands (shutdown, rm -rf, etc.).
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Resources
Collaboration is welcome from anyone interested in CLI tooling, automation, or distributed systems. Skills that would be particularly valuable include:
- Python especially around CLI dev (argparse, click, rich)
Improve/rework household chore tracker `chorazon` by gniebler
Description
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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.
It's written using the Pyramid Python framework with URL traversal, ZODB as the data store and Web Components for the frontend.
Goals
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Resources
tbd (Gitlab repo)
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.
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Goals
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Resources
tbd (Gitlab repo)