Linux Immersive Learning System (LILS)
an invention by dgarcia
Updated almost 2 years ago. 4 hacker ♥️. 2 followers.

Project Description

Immersive system to run interactive tutorials, hacking learning lessons or just games that integrates with your system. The main idea is to have an INK language engine to process the tutorial scripts and provide an interactive user interface to the user. The system should be able to listen to different Linux events (like filesystem changes, process is running, the current date, etc) and modify the tutorial state depending on that.

Example: * We've a tutorial to learn about how to use the linux terminal, a bash introduction * The tutorial gives to the user a brief explanation about how to create a directory and waits for the directory to be created * Once the system detects that directory, it automatically go forwards, says congrats to the user and continues with the next step

The main idea is to build the base system with Python and provide a generic interface (dbus, socket, cli) to be able to extend and use from different languages.

This idea is based on the Hack Computer concept, but trying to make it simpler and not tied to the desktop. It's a simple concept to have a way to create a more fun learning experience using a Choose Your Own Adventure like tutorial flow, with different user input that can happen in a different process.

Goal for this Hackweek

This is the full list of goals that will be great to have, in order of importance:

  1. Build a basic python Ink language interpreter
  2. Create the base system that runs the tutorial, keep the state and provide an API to be used
  3. Make the base system extensible with listeners that can wait for different kind of events:
    • user option selection
    • user text input
    • new file
    • date change
    • launch program, close program
    • system reboot?
    • ...
  4. Create initial tutorial about how to write lils tutorials / games
  5. Create different graphical user interfaces (GNOME shell plugin, desktop application, web interface...)

https://github.com/danigm/lils

Resources

python game tutorial learning scripting ui

Looking for hackers with the skills:

python game learning scripting tutorial

This project is part of:

Hack Week 22

Activity

  • almost 2 years ago: cdywan liked this project.
  • almost 2 years ago: robert.richardson liked this project.
  • almost 2 years ago: ybonatakis liked this project.
  • almost 2 years ago: kstreitova liked this project.
  • almost 2 years ago: dgarcia started this project.
  • almost 2 years ago: dgarcia added keyword "python" to this project.
  • almost 2 years ago: dgarcia added keyword "game" to this project.
  • almost 2 years ago: dgarcia added keyword "learning" to this project.
  • almost 2 years ago: dgarcia added keyword "scripting" to this project.
  • almost 2 years ago: dgarcia added keyword "tutorial" to this project.
  • almost 2 years ago: dgarcia originated this project.


    • Comments

    Be the first to comment!

    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.

    ClusterOps - Easily install and manage your personal kubernetes cluster by andreabenini

    Description

    ClusterOps is a Kubernetes installer and operator designed to streamline the initial configuration and ongoing maintenance of kubernetes clusters. The focus of this project is primarily on personal or local installations. However, the goal is to expand its use to encompass all installations of Kubernetes for local development purposes.
    It simplifies cluster management by automating tasks and providing just one user-friendly YAML-based configuration config.yml.

    Overview

    • Simplified Configuration: Define your desired cluster state in a simple YAML file, and ClusterOps will handle the rest.
    • Automated Setup: Automates initial cluster configuration, including network settings, storage provisioning, special requirements (for example GPUs) and essential components installation.
    • Ongoing Maintenance: Performs routine maintenance tasks such as upgrades, security updates, and resource monitoring.
    • Extensibility: Easily extend functionality with custom plugins and configurations.
    • Self-Healing: Detects and recovers from common cluster issues, ensuring stability, idempotence and reliability. Same operation can be performed multiple times without changing the result.
    • Discreet: It works only on what it knows, if you are manually configuring parts of your kubernetes and this configuration does not interfere with it you can happily continue to work on several parts and use this tool only for what is needed.

    Features

    • distribution and engine independence. Install your favorite kubernetes engine with your package manager, execute one script and you'll have a complete working environment at your disposal.
    • Basic config approach. One single config.yml file with configuration requirements (add/remove features): human readable, plain and simple. All fancy configs managed automatically (ingress, balancers, services, proxy, ...).
    • Local Builtin ContainerHub. The default installation provides a fully configured ContainerHub available locally along with the kubernetes installation. This configuration allows the user to build, upload and deploy custom container images as they were provided from external sources. Internet public sources are still available but local development can be kept in this localhost server. Builtin ClusterOps operator will be fetched from this ContainerHub registry too.
    • Kubernetes official dashboard installed as a plugin, others planned too (k9s for example).
    • Kubevirt plugin installed and properly configured. Unleash the power of classic virtualization (KVM+QEMU) on top of Kubernetes and manage your entire system from there, libvirtd and virsh libs are required.
    • One operator to rule them all. The installation script configures your machine automatically during installation and adds one kubernetes operator to manage your local cluster. From there the operator takes care of the cluster on your behalf.
    • Clean installation and removal. Just test it, when you are done just use the same program to uninstall everything without leaving configs (or pods) behind.

    Planned features (Wishlist / TODOs)

    • Containerized Data Importer (CDI). Persistent storage management add-on for Kubernetes to provide a declarative way of building and importing Virtual Machine Disks on PVCs for

    Saline (state deployment control and monitoring tool for SUSE Manager/Uyuni) by vizhestkov

    Project Description

    Saline is an addition for salt used in SUSE Manager/Uyuni aimed to provide better control and visibility for states deploymend in the large scale environments.

    In current state the published version can be used only as a Prometheus exporter and missing some of the key features implemented in PoC (not published). Now it can provide metrics related to salt events and state apply process on the minions. But there is no control on this process implemented yet.

    Continue with implementation of the missing features and improve the existing implementation:

    • authentication (need to decide how it should be/or not related to salt auth)

    • web service providing the control of states deployment

    Goal for this Hackweek

    • Implement missing key features

    • Implement the tool for state deployment control with CLI

    Resources

    https://github.com/openSUSE/saline

    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

    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

    Day 2

    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.

    SUSE Prague claw machine by anstalker

    Project Description

    The idea is to build a claw machine similar to e.g. this one:

    example image

    Why? Well, it could be a lot of fun!

    But also it's a great way to dispense SUSE and openSUSE merch like little Geekos at events like conferences, career fairs and open house events.

    Goal for this Hackweek

    Build an arcade claw machine.

    Resources

    In French, an article about why you always lose in claw machine games:

    We're looking for handy/crafty people in the Prague office:

    • woodworking XP or equipment
    • arduino/raspi embedded programming knowledge
    • Anthony can find a budget for going to GM and buying servos and such ;)