Which package currently provides libfoo.so.6 ?

A question for/from packagers and currently not easy to answer, even if the Build Service might know about the content of packages inside a repository as he created the nice filelist.gz files inside the repomd directories with all the needed information already.

Maybe this can be integrated into the general search of the openSUSE Build Service, which already has some special search options included.

Main questions would be:

  • how to get the latest file lists of a repository into some database ?
  • how to integrate this database into the OBS search?
  • how to integrate all together in osc ?

I'm unsure how far this project will come, but I guess it might be definitely worth the work.

Looking for hackers with the skills:

python sql

This project is part of:

Hack Week 10

Activity

  • about 10 years ago: ancorgs disliked this project.
  • about 11 years ago: gameboy974 liked this project.
  • about 11 years ago: hennevogel disliked this project.
  • about 11 years ago: jnweiger liked this project.
  • about 11 years ago: lrupp liked this project.
  • about 11 years ago: lrupp left this project.
  • about 11 years ago: jreidinger liked this project.
  • about 11 years ago: oholecek liked this project.
  • about 11 years ago: ancorgs liked this project.
  • about 11 years ago: coolo liked this project.
  • about 11 years ago: jospoortvliet liked this project.
  • about 11 years ago: hennevogel liked this project.
  • about 11 years ago: cyberiad liked this project.
  • about 11 years ago: bmwiedemann liked this project.
  • about 11 years ago: lrupp started this project.
  • about 11 years ago: lrupp added keyword "sql" to this project.
  • about 11 years ago: lrupp added keyword "python" to this project.
  • about 11 years ago: lrupp originated this project.

  • Comments

    • cb400f
      about 11 years ago by cb400f | Reply

      I think benJIman has already done most of the work. http://webpinstant.com/search/libfoo.so.6

    • sleep_walker
      about 11 years ago by sleep_walker | Reply

      Since we ask this question quite often in L3, I spent some time on tool (for now) called whichpkg. You can find it in here: https://build.opensuse.org/package/show/home:sleep_walker:l3/whichpkg

      or in l3-scripts GIT repository on bolzano.suse.de.

      It's intended to be used within internal network with schnell and dist mounted. And yes, it's limited: 1] works only on medias with ARCHIVE.gz, no maintenance updates 2] can't tell you important information about package metadata

      I'd love to see revived pdb.suse.de or merged its functionality into build service...

    • jnweiger
      about 11 years ago by jnweiger | Reply

      Thomas: There is a packaging Problem: nothing provides /bin/bash4 needed by whichpkg-0.2-3.1.noarch

    • jnweiger
      about 11 years ago by jnweiger | Reply

      http://webpinstant.com is cool! Maybe it is sufficient to advertise this properly?

    Similar Projects

    Team Hedgehogs' Data Observability Dashboard by gsamardzhiev

    Description

    This project aims to develop a comprehensive Data Observability Dashboard that provides r insights into key aspects of data quality and reliability. The dashboard will track:

    Data Freshness: Monitor when data was last updated and flag potential delays.

    Data Volume: Track table row counts to detect unexpected surges or drops in data.

    Data Distribution: Analyze data for null values, outliers, and anomalies to ensure accuracy.

    Data Schema: Track schema changes over time to prevent breaking changes.

    The dashboard's aim is to support historical tracking to support proactive data management and enhance data trust across the data function.

    Goals

    Although the final goal is to create a power bi dashboard that we are able to monitor, our goals is to 1. Create the necessary tables that track the relevant metadata about our current data 2. Automate the process so it runs in a timely manner

    Resources

    AWS Redshift; AWS Glue, Airflow, Python, SQL

    Why Hedgehogs?

    Because we like them.


    Ansible for add-on management by lmanfredi

    Description

    Machines can contains various combinations of add-ons and are often modified during the time.

    The list of repos can change so I would like to create an automation able to reset the status to a given state, based on metadata available for these machines

    Goals

    Create an Ansible automation able to take care of add-on (repo list) configuration using metadata as reference

    Resources

    Results

    Created WIP project Ansible-add-on-openSUSE


    SUSE AI Meets the Game Board by moio

    Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!
    A chameleon playing chess in a train car, as a metaphor of SUSE AI applied to games


    Results: Infrastructure Achievements

    We successfully built and automated a containerized stack to support our AI experiments. This included:

    A screenshot of k9s and nvtop showing PyTAG running in Kubernetes with GPU acceleration

    ./deploy.sh and voilà - Kubernetes running PyTAG (k9s, above) with GPU acceleration (nvtop, below)

    Results: Game Design Insights

    Our project focused on modeling and analyzing two card games of our own design within the TAG framework:

    • Game Modeling: We implemented models for Dario's "Bamboo" and Silvio's "Totoro" and "R3" games, enabling AI agents to play thousands of games ...in minutes!
    • AI-driven optimization: By analyzing statistical data on moves, strategies, and outcomes, we iteratively tweaked the game mechanics and rules to achieve better balance and player engagement.
    • Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .

    Cards from the three games

    A family picture of our card games in progress. From the top: Bamboo, Totoro, R3

    Results: Learning, Collaboration, and Innovation

    Beyond technical accomplishments, the project showcased innovative approaches to coding, learning, and teamwork:

    • "Trio programming" with AI assistance: Our "trio programming" approach—two developers and GitHub Copilot—was a standout success, especially in handling slightly-repetitive but not-quite-exactly-copypaste tasks. Java as a language tends to be verbose and we found it to be fitting particularly well.
    • AI tools for reporting and documentation: We extensively used AI chatbots to streamline writing and reporting. (Including writing this report! ...but this note was added manually during edit!)
    • GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
    • Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.

    Last but not least we had a lot of fun! ...and this was definitely not a chatbot generated line!

    The Context: AI + Board Games


    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):

    1. Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
    2. 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)
    3. Package management (install, remove, update...)
    4. Patching
    5. Applying any basic salt state (including a formula)
    6. Salt remote commands
    7. Bonus point: Java part for product identification, and monitoring enablement
    8. Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
    9. Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
    10. 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


    Run local LLMs with Ollama and explore possible integrations with Uyuni by PSuarezHernandez

    Description

    Using Ollama you can easily run different LLM models in your local computer. This project is about exploring Ollama, testing different LLMs and try to fine tune them. Also, explore potential ways of integration with Uyuni.

    Goals

    • Explore Ollama
    • Test different models
    • Fine tuning
    • Explore possible integration in Uyuni

    Resources

    • https://ollama.com/
    • https://huggingface.co/
    • https://apeatling.com/articles/part-2-building-your-training-data-for-fine-tuning/


    Team Hedgehogs' Data Observability Dashboard by gsamardzhiev

    Description

    This project aims to develop a comprehensive Data Observability Dashboard that provides r insights into key aspects of data quality and reliability. The dashboard will track:

    Data Freshness: Monitor when data was last updated and flag potential delays.

    Data Volume: Track table row counts to detect unexpected surges or drops in data.

    Data Distribution: Analyze data for null values, outliers, and anomalies to ensure accuracy.

    Data Schema: Track schema changes over time to prevent breaking changes.

    The dashboard's aim is to support historical tracking to support proactive data management and enhance data trust across the data function.

    Goals

    Although the final goal is to create a power bi dashboard that we are able to monitor, our goals is to 1. Create the necessary tables that track the relevant metadata about our current data 2. Automate the process so it runs in a timely manner

    Resources

    AWS Redshift; AWS Glue, Airflow, Python, SQL

    Why Hedgehogs?

    Because we like them.