This can be seen as a subproject of ethtool netlink interface but from the technical view it's independent.
Every new piece of software is going to be buggy and with frequent changes and rewrites, new regressions are introduced. Automated selftests can help a lot but as ethtool deals with hardware devices, we do not want these tests to depend on a specific hardware. The netdevsim driver was created as a virtual device which (unlike e.g. dummy) cannot be used for actual network traffic but implements various configuration interfaces so that it can be used for their (automated) testing.
Currently (February 2020, before Hackweek 19), netdevsim driver does not provide ethtool_ops
callbacks so that it cannot be used with ethtool.
The goal is to implement at least basic ethtool_ops
callbacks so that netdevsim can be used for automated testing of both kernel ethtool code and userspace ethtool utility. Ideally, use could set internal values used for replies so that various corner cases can be also tested.
Looking for hackers with the skills:
This project is part of:
Hack Week 18 Hack Week 19
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early stage kdump support by mbrugger
Project Description
When we experience a early boot crash, we are not able to analyze the kernel dump, as user-space wasn't able to load the crash system. The idea is to make the crash system compiled into the host kernel (think of initramfs) so that we can create a kernel dump really early in the boot process.
Goal for the Hackweeks
- Investigate if this is possible and the implications it would have (done in HW21)
- Hack up a PoC (done in HW22 and HW23)
- Prepare RFC series (giving it's only one week, we are entering wishful thinking territory here).
update HW23
- I was able to include the crash kernel into the kernel Image.
- I'll need to find a way to load that from
init/main.c:start_kernel()
probably afterkcsan_init()
- I workaround for a smoke test was to hack
kexec_file_load()
systemcall which has two problems:- My initramfs in the porduction kernel does not have a new enough kexec version, that's not a blocker but where the week ended
- As the crash kernel is part of init.data it will be already stale once I can call
kexec_file_load()
from user-space.
The solution is probably to rewrite the POC so that the invocation can be done from init.text (that's my theory) but I'm not sure if I can reuse the kexec infrastructure in the kernel from there, which I rely on heavily.
update HW24
- Day1
- rebased on v6.12 with no problems others then me breaking the config
- setting up a new compilation and qemu/virtme env
- getting desperate as nothing works that used to work
- Day 2
- getting to call the invocation of loading the early kernel from
__init
afterkcsan_init()
- getting to call the invocation of loading the early kernel from
Day 3
- fix problem of memdup not being able to alloc so much memory... use 64K page sizes for now
- code refactoring
- I'm now able to load the crash kernel
- When using virtme I can boot into the crash kernel, also it doesn't boot completely (major milestone!), crash in
elfcorehdr_read_notes()
Day 4
- crash systems crashes (no pun intended) in
copy_old_mempage()
link; will need to understand elfcorehdr... - call path
vmcore_init() -> parse_crash_elf_headers() -> elfcorehdr_read() -> read_from_oldmem() -> copy_oldmem_page() -> copy_to_iter()
- crash systems crashes (no pun intended) in
Day 5
- hacking
arch/arm64/kernel/crash_dump.c:copy_old_mempage()
to see if crash system really starts. It does. - fun fact: retested with more reserved memory and with UEFI FW, host kernel crashes in init but directly starts the crash kernel, so it works (somehow) \o/
- hacking
TODOs
- fix elfcorehdr so that we actually can make use of all this...
- test where in the boot
__init()
chain we can/should callkexec_early_dump()
RISC-V emulator in GLSL capable of running Linux by favogt
Description
There are already numerous ways to run Linux and some programs through emulation in a web browser (e.g. x86 and riscv64 on https://bellard.org/jslinux/), but none use WebGL/WebGPU to run the emulation on the GPU.
I already made a PoC of an AArch64 (64-bit Arm) emulator in OpenCL which is unfortunately hindered by a multitude of OpenCL compiler bugs on all platforms (Intel with beignet or the new compute runtime and AMD with Mesa Clover and rusticl). With more widespread and thus less broken GLSL vs. OpenCL and the less complex implementation requirements for RV32 (especially 32bit integers instead of 64bit), that should not be a major problem anymore.
Goals
Write an RISC-V system emulator in GLSL that is capable of booting Linux and run some userspace programs interactively. Ideally it is small enough to work on online test platforms like Shaderoo with a custom texture that contains bootstrap code, kernel and initrd.
Minimum:
riscv32 without FPU (RV32 IMA) and MMU (µClinux), running Linux in M-mode and userspace in U-mode.
Stretch goals:
FPU support, S-Mode support with MMU, SMP. Custom web frontend with more possibilities for I/O (disk image, network?).
Resources
RISC-V ISA Specifications
Shaderoo
OpenGL 4.5 Quick Reference Card
Result as of Hackweek 2024
WebGL turned out to be insufficient, it only supports OpenGL ES 3.0 but imageLoad/imageStore needs ES 3.1. So we switched directions and had to write a native C++ host for the shaders.
As of Hackweek Friday, the kernel attempts to boot and outputs messages, but panics due to missing memory regions.
Since then, some bugs were fixed and enough hardware emulation implemented, so that now Linux boots with framebuffer support and it's possible to log in and run programs!
The repo with a demo video is available at https://github.com/Vogtinator/risky-v
Hacking on sched_ext by flonnegren
Description
Sched_ext upstream has some interesting issues open for grabs:
Goals
Send patches to sched_ext upstream
Also set up perfetto to trace some of the example schedulers.
Resources
https://github.com/sched-ext/scx
Kill DMA and DMA32 memory zones by ptesarik
Description
Provide a better allocator for DMA-capable buffers, making the DMA and DMA32 zones obsolete.
Goals
Make a PoC kernel which can boot a x86 VM and a Raspberry Pi (because early RPi4 boards have some of the weirdest DMA constraints).
Resources
- LPC2024 talk:
- video:
Create a DRM driver for VGA video cards by tdz
Yes, those VGA video cards. The goal of this project is to implement a DRM graphics driver for such devices. While actual hardware is hard to obtain or even run today, qemu emulates VGA output.
VGA has a number of limitations, which make this project interesting.
- There are only 640x480 pixels (or less) on the screen. That resolution is also a soft lower limit imposed by DRM. It's mostly a problem for desktop environments though.
- Desktop environments assume 16 million colors, but there are only 16 colors with VGA. VGA's 256 color palette is not available at 640x480. We can choose those 16 colors freely. The interesting part is how to choose them. We have to build a palette for the displayed frame and map each color to one of the palette's 16 entries. This is called dithering, and VGA's limitations are a good opportunity to learn about dithering algorithms.
- VGA has an interesting memory layout. Most graphics devices use linear framebuffers, which store the pixels byte by byte. VGA uses 4 bitplanes instead. Plane 0 holds all bits 0 of all pixels. Plane 1 holds all bits 1 of all pixels, and so on.
The driver will probably not be useful to many people. But, if finished, it can serve as test environment for low-level hardware. There's some interest in supporting old Amiga and Atari framebuffers in DRM. Those systems have similar limitations as VGA, but are harder to obtain and test with. With qemu, the VGA driver could fill this gap.
Apart from the Wikipedia entry, good resources on VGA are at osdev.net and FreeVGA
Remote control for Adam Audio active monitor speakers by dmach
Description
I own a pair of Adam Audio A7V active studio monitor speakers. They have ethernet connectors that allow changing their settings remotely using the A Control software. From Windows :-( I couldn't find any open source alternative for Linux besides AES70.js library.
Goals
- Create a command-line tool for controlling the speakers.
- Python is the language of choice.
- Implement only a simple tool with the desired functionality rather than a full coverage of AES70 standard.
TODO
- ✅ discover the device
- ❌ get device manufacturer and model
- ✅ get serial number
- ✅ get description
- ✅ set description
- ✅ set mute
- ✅ set sleep
- ✅ set input (XRL (balanced), RCA (unbalanced))
- ✅ set room adaptation
- bass (1, 0, -1, -2)
- desk (0, -1, -2)
- presence (1, 0, -1)
- treble (1, 0, -1)
- ✅ set voicing (Pure, UNR, Ext)
- ❌ the Ext voicing enables the following extended functionality:
- gain
- equalizer bands
- on/off
- type
- freq
- q
- gain
- ❌ udev rules to sleep/wakeup the speakers together with the sound card
Resources
- https://www.adam-audio.com/en/a-series/a7v/
- https://www.adam-audio.com/en/technology/a-control-remote-software/
- https://github.com/DeutscheSoft/AES70.js
- https://www.aes.org/publications/standards/search.cfm?docID=101 - paid
- https://www.aes.org/standards/webinars/AESStandardsWebinarSC0212L20220531.pdf
- https://ocaalliance.github.io/downloads/AES143%20Network%20track%20NA10%20-%20AES70%20Controller.pdf
Result
- The code is available on GitHub: https://github.com/dmach/pacontrol
FastFileCheck work by pstivanin
Description
FastFileCheck is a high-performance, multithreaded file integrity checker for Linux. Designed for speed and efficiency, it utilizes parallel processing and a lightweight database to quickly hash and verify large volumes of files, ensuring their integrity over time.
https://github.com/paolostivanin/FastFileCheck
Goals
- Release v1.0.0
Design overwiew:
- Main thread (producer): traverses directories and feeds the queue (one thread is more than enough for most use cases)
- Dedicated consumer thread: manages queue and distributes work to threadpool
- Worker threads: compute hashes in parallel
This separation of concerns is efficient because:
- Directory traversal is I/O bound and works well in a single thread
- Queue management is centralized, preventing race conditions
- Hash computation is CPU-intensive and properly parallelized
FizzBuzz OS by mssola
Project Description
FizzBuzz OS (or just fbos
) is an idea I've had in order to better grasp the fundamentals of the low level of a RISC-V machine. In practice, I'd like to build a small Operating System kernel that is able to launch three processes: one that simply prints "Fizz", another that prints "Buzz", and the third which prints "FizzBuzz". These processes are unaware of each other and it's up to the kernel to schedule them by using the timer interrupts as given on openSBI (fizz on % 3 seconds, buzz on % 5 seconds, and fizzbuzz on % 15 seconds).
This kernel provides just one system call, write
, which allows any program to pass the string to be written into stdout.
This project is free software and you can find it here.
Goal for this Hackweek
- Better understand the RISC-V SBI interface.
- Better understand RISC-V in privileged mode.
- Have fun.
Resources
Results
The project was a resounding success Lots of learning, and the initial target was met.
Add a machine-readable output to dmidecode by jdelvare
Description
There have been repeated requests for a machine-friendly dmidecode output over the last decade. During Hack Week 19, 5 years ago, I prepared the code to support alternative output formats, but didn't have the time to go further. Last year, Jiri Hnidek from Red Hat Linux posted a proof-of-concept implementation to add JSON output support. This is a fairly large pull request which needs to be carefully reviewed and tested.
Goals
Review Jiri's work and provide constructive feedback. Merge the code if acceptable. Evaluate the costs and benefits of using a library such as json-c.
ESETv2 Emulator / interpreter by m.crivellari
Description
ESETv2 is an intriguing challenge developed by ESET, available on their website under the "Challenge" menu.
The challenge involves an "assembly-like" language and a Python compiler that generates .evm
binary files.
This is an example using one of their samples (it prints N Fibonacci numbers):
.dataSize 0
.code
loadConst 0, r1 # first
loadConst 1, r2 # second
loadConst 1, r14 # loop helper
consoleRead r3
loop:
jumpEqual end, r3, r15
add r1, r2, r4
mov r2, r1
mov r4, r2
consoleWrite r1
sub r3, r14, r3
jump loop
end:
hlt
This language also supports multi-threading. It includes instructions such as createThread
to start a new thread, joinThread
to wait until a thread completes, and lock
/unlock
to facilitate synchronization between threads.
Goals
- create a full interpreter able to run all the available samples provided by ESET.
- improve / optimize memory (eg. using bitfields where needed as well as avoid unnecessary memory allocations)
Resources
- Challenge URL: https://join.eset.com/en/challenges/core-software-engineer
- My github project: https://github.com/DispatchCode/eset_vm2 (not 100% complete)
Achivements
Project still not complete. Added lock / unlock instruction implementation but further debug is needed; there is a bug somewhere. Actually the code it works for almost all the examples in the samples folder. 1 of them is not yet runnable (due to a missing "write" opcode implementation), another will cause the bug to show up; still not investigated, anyhow.
Hack on isotest-ng - a rust port of isotovideo (os-autoinst aka testrunner of openQA) by szarate
Description
Some time ago, I managed to convince ByteOtter to hack something that resembles isotovideo but in Rust, not because I believe that Perl is dead, but more because there are certain limitations in the perl code (how it was written), and its always hard to add new functionalities when they are about implementing a new backend, or fixing bugs (Along with people complaining that Perl is dead, and that they don't like it)
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
make
targets 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
Drag Race - comparative performance testing for pull requests by balanza
Description
«Sophia, a backend developer, submitted a pull request with optimizations for a critical database query. Once she pushed her code, an automated load test ran, comparing her query against the main branch. Moments later, she saw a new comment automatically added to her PR: the comparison results showed reduced execution time and improved efficiency. Smiling, Sophia messaged her team, “Performance gains confirmed!”»
Goals
- To have a convenient and ergonomic framework to describe test scenarios, including environment and seed;
- to compare results from different tests
- to have a GitHub action that executes such tests on a CI environment
Resources
The MVP will be built on top of Preevy and K6.
Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil
Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!
Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.
For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.
No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)
The idea is testing Salt and Salt-ssh clients, but NOT traditional clients, which are deprecated.
To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):
- Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
- Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
- Package management (install, remove, update...)
- Patching
- Applying any basic salt state (including a formula)
- Salt remote commands
- Bonus point: Java part for product identification, and monitoring enablement
- Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
- Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
- Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)
If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)
- If you don't have knowledge about some of the steps: ask the team
- If you still don't know what to do: switch to another distribution and keep testing.
This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)
Pending
FUSS
FUSS is a complete GNU/Linux solution (server, client and desktop/standalone) based on Debian for managing an educational network.
https://fuss.bz.it/
Seems to be a Debian 12 derivative, so adding it could be quite easy.
[W]
Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)[W]
Onboarding (salt minion from UI, salt minion from bootstrap script, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator) --> Working for all 3 options (salt minion UI, salt minion bootstrap script and salt-ssh minion from the UI).[W]
Package management (install, remove, update...) --> Installing a new package works, needs to test the rest.[I]
Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already). No patches detected. Do we support patches for Debian at all?[W]
Applying any basic salt state (including a formula)[W]
Salt remote commands[ ]
Bonus point: Java part for product identification, and monitoring enablement
Automated Test Report reviewer by oscar-barrios
Description
In SUMA/Uyuni team we spend a lot of time reviewing test reports, analyzing each of the test cases failing, checking if the test is a flaky test, checking logs, etc.
Goals
Speed up the review by automating some parts through AI, in a way that we can consume some summary of that report that could be meaningful for the reviewer.
Resources
No idea about the resources yet, but we will make use of:
- HTML/JSON Report (text + screenshots)
- The Test Suite Status GithHub board (via API)
- The environment tested (via SSH)
- The test framework code (via files)
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.