supportconfig database
an invention by leonardocf
Updated almost 6 years ago. 2 hacker ♥️.

The supportconfig utility is used by support teams to collect all information needed to troubleshoot a system in one shot.

The objective of this project is to create a central repository of supportconfig tarballs. To do so, we're going to develop a set of tools to automatically fetch tarballs from known sources, parse the information, import the useful parts into an SQL database and expose it in a Web front-end where users can run some simple queries.

The following components will be developed:

  • Collector: Retrieves supportconfigs from the usual sources (Bugzilla, ftp.novell.com).
  • Parser: Parses the data from a supportconfig tarball and imports it into a database.
  • Front-end: Displays the collected data in useful formats, generate statistics and allow simple queries.

Looking for hackers with the skills:

python django shell

This project is part of:

Hack Week 10

Activity

  • over 7 years ago: barendartchuk liked this project.
  • over 9 years ago: mkoutny liked this project.
  • over 12 years ago: leonardocf removed keyword xml from this project.
  • over 12 years ago: leonardocf added keyword "python" to this project.
  • over 12 years ago: leonardocf added keyword "django" to this project.
  • over 12 years ago: leonardocf added keyword "shell" to this project.
  • over 12 years ago: leonardocf added keyword "xml" to this project.
  • over 12 years ago: leonardocf started this project.
  • over 12 years ago: leonardocf originated this project.


    • Comments

    • leonardocf
      over 12 years ago by leonardocf | Reply

      The "Collector" and "Parser" components were developed during Hack Week 9.

    • leonardocf
      over 12 years ago by leonardocf | Reply

      A working prototype of the front-end (using python-django) was developed during Hack Week 10.

    Similar Projects

    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

    SUSE Hackweek AI Song Search

    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

    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

    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
    • Partially DONE: Make the python code modular
    • DONE: Add code coverage if possible

    Resources

    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:

    • User prompt: "Can you show me the list of p"
    • Autocomplete suggestion: "Can you show me the list of p...od in local cluster?"

    Example:

    • User prompt: "Show me the logs of #rancher-"
    • Chat console: It shows a drop-down widget, next to the # character, with the list of available pod names starting with "rancher-".

    Technical Overview

    1. The AI agent should expose a new ws/autocomplete endpoint to proxy autocomplete messages to the LLM.
    2. The UI extension should be able to display prompt suggestions and allow users to apply the autocomplete to the Prompt via keyboard shortcuts.

    Resources

    GitHub repository

    OS self documentation, health check and troubleshooting by roseswe

    Project Description

    The aim of this hackweek project is to improve the utility "cfg2html" so that it is even more usable under SLES and perhaps also under Rancher.

    cfg2html (see also https://github.com/cfg2html/cfg2html) itself is a very mature utility for collecting and documenting information of an operating system like Linux, AIX, HP-UX and others.

    Goal for this Hackweek

    The aim is to extend cfg2html

    • for SLES and SLES-for-SAP apps, high availability
    • Improve code for MicroOS 5.x, SUMA, Edge and k8s environments
    • fix shellbeauity warnings
    • possibly add more plugins
    • SUMA/Salt integration to collect.

    Resources

    Required skills: Bash, shell script and the SUSE products mentioned.

    https://github.com/cfg2html/cfg2html

    https://www.cfg2html.com/