Yggdrasil - A simplistic bot designed to streamline your server experience

Overview

Ygggdrasil

A simplistic bot designed to streamline your server experience.

Design Ideas

  • Seperate commands into submodules
  • Nothing too fancy -> Descriptive commands, recurring command structure, embeds responses only if not possible otherwise

Disclaimer

This bot is currently in development and probably won't work fine just now. Try at your own risk!

Features

Restrictions (by Discord)

  • An app can have up to 50 top-level global commands (50 commands with unique names)
  • An app can have up to an additional 50 guild commands per guild
  • An app can have up to 10 subcommand groups on a top-level command
  • An app can have up to 10 subcommands within a subcommand group
  • Choices can have up to 10 values per option
  • Commands can have up to 10 options per command

Limitations on command names

Limitations on nesting subcommands and groups

Command Structure

Base

base # base
|
|__ reload_extension # command
-> Reloads an extension by name.
|
|__ purge_application_commands # command
-> Purge all slashCommands for this application.

Admin

admin # extension
|
|__ bot # command (prefixCommand slashCommand)
    |
    |__ restart # subcommand (prefixCommand) (bot owner only)
    -> Restarts the bot.
    |
    |__ shutdown # subcommand (prefixCommand) (bot owner only)
    -> Shuts down the bot.
    |
    |__ ping # subcommand (slashCommand)
    -> Lets the bot ping Discord and prints the Ping to the current channel.
|
|__ admin # command (prefixCommand)
    |
    |__ kick # subcommand (prefixCommand) (KICK_MEMBERS only)
    -> Kicks a specified user.
    |
    |__ ban # subcommand (prefixCommand) (BAN_MEMBERS only)
    -> Kicks a specified user.
    |
    |__ unban # subcommand (prefixCommand) (BAN_MEMBERS only)
    -> Kicks a specified user.
|
|__ server # command (prefixCommand)
    |
    |__ announce # subcommand (prefixCommand) (ADMINISTRATOR only)
    -> Takes an Embed as Webhook embed json as text and sends it to the announcement channel.
    |
    |__ clear # subcommand (prefixCommand) (MANAGE_MESSAGES only)
    -> Purges the current channel by 1 message, unless specified otherwise (Admin only).

Dice

dice # extension
|
|__ dice # command (prefixCommand, slashCommand)
    |
    |__ roll # subcommand (prefixCommand, slashCommand)
    -> Throws dice eg.: 3d6
    |
    |__ hroll # subcommand (prefixCommand)
    -> Throws dice eg.: 3d6, responds with epemeral message

Should we allow prefixCommand here?

Experience

experience # extension
|
|__ experience # command (prefixCommand, slashCommand)
    |
    |__ xp # subcommand (slashCommand)
    -> Prints the current stats of the user.
    |
    |__ leaderboard # subcommand (slashCommand)
    -> Print the top-ten members of the guild and the users relation to them.
    |
    |__ updateUser # subcommand (prefixCommand) (ADMINISTRATOR only)
    -> Overwrites the data of a given user in the database, or creates new if not present.

Will later receive an update with role/permission changes based on level of members.

Misc

misc # extension
|
|__ misc # command
    |
    |__ datecounter # subcommand (slashCommand)
    -> Prints the number of days from or to a given date.
    |
    |__ echo # subcommand (slashCommand)
    -> Echos text as Embed title.
    |
    |__ embed # subcommand (slashCommand)
    -> Echos text as Embed.
    |
    |__ fibonacci # subcommand (slashCommand)
    -> Prints the n-Fibonacci number.
    |
    |__ reverse # subcommand (slashCommand)
    -> Reverses the letter order of the text given and print it.

Voice

voice # extension
|
|__ setCategoryId # command (prefixCommand) (ADMINISTRATOR only)
-> Sets the category id of the Category for temporary voicechannel to be created in.
|
|__ setChannelId # command (prefixCommand) (ADMINISTRATOR only)
-> Sets the channel id of the channel to listen to for user join.
|
|__ voice # command
    |
    |__ claim # subcommand (slashCommand)
    -> Lets the user claim the current channel.
    |
    |__ limit # subcommand (slashCommand)
    -> Lets the user limit the number of member in their channel.
    |
    |__ lock # subcommand (slashCommand)
    -> Locks the users channel.
    |
    |__ name # subcommand (slashCommand)
    -> Changes the channelname of the users channel.
    |
    |__ permit # subcommand (slashCommand)
    -> Permits a given user to join the users channel, even if it's locked.
    |
    |__ reject # subcommand (slashCommand)
    -> Revokes the permission given to a user to join the users channel.
    |
    |__ unlock # subcommand (slashCommand)
    -> Unlocks the users channel.
    |
    |__ bitrate # subcommand (slashCommand)
    -> Changes the users channels bitrate.

Wolfram

wolfram # extension
|
|__ wolfram # command
    |
    |__ ask # subcommand (prefixCommand, slashCommand)
    -> Send a Wolframalpha query.

Should we allow prefixCommand here?

Running the bot

Run the bot: docker-compose up -d

View the current logs: docker-compose logs -f

Stop the bot: docker-compose down

Debugging commands

Connect to Postgres (Yggdrasil DB): docker exec -it PostgreSQL psql -U postgres yggdrasil

Backup Postgres (Yggdrasil DB): docker exec -it postgres pg_dump -U postgres yggdrasil > outfile

Owner
Sntx_
Sntx_
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Thalles Silva 1.7k Dec 28, 2022
Implementation of association rules mining algorithms (Apriori|FPGrowth) using python.

Association Rules Mining Using Python Implementation of association rules mining algorithms (Apriori|FPGrowth) using python. As a part of hw1 code in

Pre 2 Nov 10, 2021
An implementation for Neural Architecture Search with Random Labels (CVPR 2021 poster) on Pytorch.

Neural Architecture Search with Random Labels(RLNAS) Introduction This project provides an implementation for Neural Architecture Search with Random L

18 Nov 08, 2022
Using contrastive learning and OpenAI's CLIP to find good embeddings for images with lossy transformations

Creating Robust Representations from Pre-Trained Image Encoders using Contrastive Learning Sriram Ravula, Georgios Smyrnis This is the code for our pr

Sriram Ravula 26 Dec 10, 2022
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

CoCa - Pytorch Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch. They were able to elegantly fit in contras

Phil Wang 565 Dec 30, 2022
Real-time Joint Semantic Reasoning for Autonomous Driving

MultiNet MultiNet is able to jointly perform road segmentation, car detection and street classification. The model achieves real-time speed and state-

Marvin Teichmann 518 Dec 12, 2022
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

Vera 75 Dec 13, 2022
Image reconstruction done with untrained neural networks.

PyTorch Deep Image Prior An implementation of image reconstruction methods from Deep Image Prior (Ulyanov et al., 2017) in PyTorch. The point of the p

Atiyo Ghosh 192 Nov 30, 2022
🛠️ SLAMcore SLAM Utilities

slamcore_utils Description This repo contains the slamcore-setup-dataset script. It can be used for installing a sample dataset for offline testing an

SLAMcore 7 Aug 04, 2022
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch

Image Super-Resolution via Iterative Refinement Paper | Project Brief This is a unoffical implementation about Image Super-Resolution via Iterative Re

LiangWei Jiang 2.5k Jan 02, 2023
Run PowerShell command without invoking powershell.exe

PowerLessShell PowerLessShell rely on MSBuild.exe to remotely execute PowerShell scripts and commands without spawning powershell.exe. You can also ex

Mr.Un1k0d3r 1.2k Jan 03, 2023
An index of recommendation algorithms that are based on Graph Neural Networks.

An index of recommendation algorithms that are based on Graph Neural Networks.

FIB LAB, Tsinghua University 564 Jan 07, 2023
Source code for our paper "Do Not Trust Prediction Scores for Membership Inference Attacks"

Do Not Trust Prediction Scores for Membership Inference Attacks Abstract: Membership inference attacks (MIAs) aim to determine whether a specific samp

<a href=[email protected]"> 3 Oct 25, 2022
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

Aladdin Persson 4.7k Jan 08, 2023
NHL 94 AI contests

nhl94-ai The end goals of this project is to: Train Models that play NHL 94 Support AI vs AI contests in NHL 94 Provide an improved AI opponent for NH

Mathieu Poliquin 2 Dec 06, 2021
Repository for GNSS-based position estimation using a Deep Neural Network

Code repository accompanying our work on 'Improving GNSS Positioning using Neural Network-based Corrections'. In this paper, we present a Deep Neural

32 Dec 13, 2022
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation This repository is the pytorch implementation of our paper: Hierarchical Cr

43 Nov 21, 2022
Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

Robust Object Detection via Instance-Level Temporal Cycle Confusion This repo contains the implementation of the ICCV 2021 paper, Robust Object Detect

Xin Wang 69 Oct 13, 2022
[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation

Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation This repository contains the source code for

Yun-Chun Chen 60 Nov 25, 2022
We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.

Overview This repository provides the implementation for the paper "Improved Regularization and Robustness for Fine-tuning in Neural Networks", which

NEU-StatsML-Research 21 Sep 08, 2022