Discord bot for notifying on github events

Overview

Git-Observer

Discord bot for notifying on github events

⚠️ This bot is meant to write messages to only one channel (implementing this for multiple projects/channels is a mess so...) ⚠️

⚠️ Even bigger warning: Sometime, I will do a nice installation script, but until then you'll have to follow the long installation process ⚠️

⚠️ I published this project because some friends wanted to use my bot for themselves, but I did not intend to do something generic. A lot of paths and other stuff were hard-coded (bad habit, I know...). So you'll have to change them yourselves, although I'll guide you through this process, don't worry. ⚠️

This project is meant to be installed on a linux server.

How does it work ?

Like this :

Loop #1
Event on your github repository >--git event-- ...
... ----> Github Hook Server >--webhook------- ...
... ----> nginx server >---local proxy pass--- ...
... ----> hook listener >-------write json on disk

Loop #2
discord bot script listener >--file content--- ...
... ----> webhook formatter >----printable---- ...
... ----> writing the pretty-msg to discord server

Installation

Since this project is split into two distinct parts (discord bot and webhook listener), the installation process is a bit long. But everything is pretty straightforward. First, please clone the repository :

git clone https://github.com/Nicolas-Reyland/Git-Observer
cd Git-Observer

Setting up the github webhooks listener

Setting up github webhooks in github

Setting up webhooks on your github repos is very simple! Please refer to one of these guides :

When adding your webhook, please select the following Content Type: application/json ⚠️ The webhook secret should be remembered; we will need it later. You can use something like "https://your-domain-or-ip-address/github-webhooks" for the payload url.

Installing the dependencies for the webhooks listener

The gh webhook listener runs on ruby, using a library called Sinatra :

sudo apt update
sudo apt-get install ruby-dev build-essential -y
sudo gem install sinatra --no-document # the '--no-document' is optional

Setting up the listener

Here, you have to make some choices.

# you should be in the Git-Observer repo dir
cp -r ./webhook-listener path-to-the-listenenr-repo # (you have to create it)
cd path-to-the-listenenr-repo # you can also stay inside the github repo and not create a new dir

You should see myapp.rb when typing ls -l. Now, please enter the following commands :

mkdir hook-dumps # this is your hook-dump directory (please remember this)
./update-gh-hook-ip-list # if this fails, it should not be fatal

Changing the contents of the ruby script

Please open the script myapp.rb in you favorite text editor (e.g. vim myapp.rb). Now, on line 17, you can change the GH_WH_LISTENER to the absolute path of the current directory. The result yould look like so: /home/nicolas/gh-wh-listener. The whole line should look like this:

file = File.open("/home/nicolas/gh-wh-listener/hook-dumps/#{date.to_i.to_s}.json", "w") {

Setting up the discord bot

Setting up the bot dir

Create the discord bot directory like this :

cp -r discord-bot your-discord-bot-dir # you can also stay inside the github repo

Creating a discord bot

Creating a discord bot is very straightforward. Please follow one of the following tutorials:

For the permissions, please refer to the content of this file (although selecting "administrator rights" is quicker).

Then, you should copy the discord bot token to the your-discord-bot-dir/discord-bot-token.txt (in this repo).

Installing the dependencies for the discord bot

You need python3.9 (or a higher version) and the discord.py dependecy.

sudo apt update
sudo apt install python3-dev
sudo apt install python3.9
pip install discord.py

Changing the bot scripts

In the your-discord-bot-dir/cogs/git-notifier.py file, change the following :

  • on line 11, add path to the hook-dumps directory, which was setup in the ruby listener installation step
  • on line 12, add the id of the discord channel which you want the bot to write messages in (as an int, not a str)

Creating the appropriate linux services

Fist of all, please copy the service files to the correct location :

# inside the repo dir
cp -i services/*.service /etc/systemd/system/

Changing the content of the ruby listener service file

Edit /etc/systemd/system/github-webhooks-sudoku-sinatra.service like so :

  • on line 8, edit the string and replace it by your github webhook secret (you chose this during the webhook creation in github)
  • on line 11, add your user name
  • on line 12, change the working directory to the github webhook listener
  • on line 13, add the full path to the myapp.rb script

Changing the content of the discord bot service file

Edit /etc/systemd/system/git-observer-bot.service like so :

  • on line 10, add your user name
  • on line 11, add the discord bot directory path
  • on line 12, add the full path to the bot.py script

Optional steps

If you wish these services to be started system boot time, you can enter these commands :

sudo systemctl enable github-webhook-listener.service
sudo systemctl enable git-observer-bot.service

Redirecting your requests to the ruby server

I will assume that you are using nginx on your linux server. The steps are not that different when using a different web server service. In you default web site script (/etc/nginx/sites-available/default.00 or something), add these line in the main server block :

location /github-webhooks {
  # you could restrict the ip addresses that access this to the github hooks url list
  # see webhook-listener/update-gh-hook-ip-list and webhook-listener/github-hooks-ip-list
  proxy_pass http://localhost:4567;
  proxy_set_header Host $host;
  proxy_set_header X-Real-IP $remote_addr;
}

Think to verify that your file valid :

sudo nginx -t

And reload the nginx service :

sudo systemctl reload nginx

Post-installation & Usage

To start the application, you can enter these commands :

sudo systemctl start github-webhook-listener.service
sudo systemctl start git-observer-bot.service

To modify the output of the bot, you can modify the your-discord-bot-dir/cogs/webhook_formatter.py file.

Todo:

  • local socket communication instead of new-file-detection method (makes it one-loop arch instead of 2-loop)
  • propoer, generic values instead of hard-coded ones
  • can write to multiple channels, one per repository
  • installation script
  • remove the nginx redirection -> directly listen to webhooks in the ruby script
Owner
ilu_vatar_
Computer Science student living in Europe
ilu_vatar_
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021, official Pytorch implementatio

Microsoft 247 Dec 25, 2022
ByteTrack: Multi-Object Tracking by Associating Every Detection Box

ByteTrack ByteTrack is a simple, fast and strong multi-object tracker. ByteTrack: Multi-Object Tracking by Associating Every Detection Box Yifu Zhang,

Yifu Zhang 2.9k Jan 04, 2023
A scikit-learn compatible neural network library that wraps PyTorch

A scikit-learn compatible neural network library that wraps PyTorch. Resources Documentation Source Code Examples To see more elaborate examples, look

4.9k Dec 31, 2022
Automated Evidence Collection for Fake News Detection

Automated Evidence Collection for Fake News Detection This is the code repo for the Automated Evidence Collection for Fake News Detection paper accept

Mrinal Rawat 2 Apr 12, 2022
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning AutoPentest-DRL is an automated penetration testing framework based o

Cyber Range Organization and Design Chair 217 Jan 01, 2023
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

PortaSpeech - PyTorch Implementation PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech. Model Size Module Nor

Keon Lee 279 Jan 04, 2023
Pytorch Implementation of LNSNet for Superpixel Segmentation

LNSNet Overview Official implementation of Learning the Superpixel in a Non-iterative and Lifelong Manner (CVPR'21) Learning Strategy The proposed LNS

42 Oct 11, 2022
Pytorch implementation of

EfficientTTS Unofficial Pytorch implementation of "EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture"(arXiv). Disclaimer: Somebo

Liu Songxiang 109 Nov 16, 2022
This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.

SLATE This is the official source code for SLATE. We provide the code for the model, the training code and a dataset loader for the 3D Shapes dataset.

Gautam Singh 66 Dec 26, 2022
Volumetric parameterization of the placenta to a flattened template

placenta-flattening A MATLAB algorithm for volumetric mesh parameterization. Developed for mapping a placenta segmentation derived from an MRI image t

Mazdak Abulnaga 12 Mar 14, 2022
PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

Compositional Zero-Shot Learning This is the official PyTorch code of the CVPR 2021 works Learning Graph Embeddings for Compositional Zero-shot Learni

EML Tübingen 70 Dec 27, 2022
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

Trading Gym Trading Gym is an open-source project for the development of reinforcement learning algorithms in the context of trading. It is currently

Dimitry Foures 535 Nov 15, 2022
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

lacmus The program for searching through photos from the air of lost people in the forest using Retina Net neural nwtwork. The project is being develo

Lacmus Foundation 168 Dec 27, 2022
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to

4.2k Jan 01, 2023
Bianace Prediction Pytorch Model

Bianace Prediction Pytorch Model Main Results ETHUSDT from 2021-01-01 00:00:00 t

RoyYang 4 Jul 20, 2022
A Real-Time-Strategy game for Deep Learning research

Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi

Centre for Artificial Intelligence Research (CAIR) 156 Dec 19, 2022
An implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

This work has now been superseded by: https://github.com/sniklaus/revisiting-sepconv sepconv-slomo This is a reference implementation of Video Frame I

Simon Niklaus 984 Dec 16, 2022
efficient neural audio synthesis in the waveform domain

neural waveshaping synthesis real-time neural audio synthesis in the waveform domain paper • website • colab • audio by Ben Hayes, Charalampos Saitis,

Ben Hayes 169 Dec 23, 2022
CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning

CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning This repository contains the code and relevant instructions

XiaoMing 5 Aug 19, 2022
Manipulation OpenAI Gym environments to simulate robots at the STARS lab

Manipulator Learning This repository contains a set of manipulation environments that are compatible with OpenAI Gym and simulated in pybullet. In par

STARS Laboratory 5 Dec 08, 2022