The NorrisBot is a Slack bot that kicks asses, roundhouse-kicks to be precise... It's super-powered with Chuck Norris jokes and it aims to make your Slack channel even more "slacker" and enjoyable.
NorrisBot is loaded with guns and jokes about Chuck Norris and it will tell a random joke every time that someone says “Chuck Norris” or "norrisbot" in a slack channel.
As simple as installing any other global node package. Be sure to have npm and node (
>= 4.3.2 version) installed and launch:
$ npm install -g norrisbot
From release 2.0.3, every release comes also with dependency-free binaries for linux, mac and windows that can be downloaded in the Releases page on GitHub.
To run the NorrisBot you must have a valid Slack BOT token to authenticate the bot on your slack organization. Once you get it (instructions on the next paragraph) you just have to run:
Once the bot is up and running, you need to invite him into the channels you want it to be available in.
To allow the NorrisBot to connect your Slack channel you must provide him a BOT token. To retrieve it you need to add a new Bot in your Slack organization by visiting the following url: https://yourorganization.slack.com/services/new/bot, where yourorganization must be substituted with the name of your organization (e.g. https://loige.slack.com/services/new/bot). Ensure you are logged to your Slack organization in your browser and you have the admin rights to add a new bot.
You will find your BOT token under the field
API Token, copy it in a safe place and get ready to use it.
As an alternative you can create a bot by creating a custom application in the Slack developer portal. Inside the application settings you will be able to add a bot user and retrieve a OAUTH BOT token for it.
The NorrisBot is configurable through environment variables. There are several variable available:
||The Slack Bot User OAuth Access Token for your organisation/team (mandatory)|
||A coma separated list of words that triggers the bot to reply with a joke (default:
||A coma separated list to enable special joke categories like "explicit" and "nerdy" (default:
||If set to TRUE will disable pictures in jokes (default:
||The hex color used by the bot to mark it's messages (default:
A great place where to deploy our lovely NorrisBot is Heroku. We can go reasonably well with their free worker tier and the deploy process is reasonably easy and convenient. Let’s see how we can do that.
I am assuming you already have and account on Heroku and that you have installed and configured the Heroku toolbelt on your machine.
Create a local folder and install norrisbot on it:
mkdir norrisbot-myorgcd norrisbot-myorgnpm init -ynpm i --save norrisbot
Then create a new app on heroku:
heroku create norrisbot-myorg
heroku config:set --app norrisbot-myorg NORRISBOT_TOKEN=xoxb-YOUR-AWESOME-BOT-TOKEN
(of course you need to replace
xoxb-YOUR-AWESOME-BOT-TOKEN with your actual token).
You can add extra configuration by defining values for the other supported environment variables if you want to customize the behavior of the bot.
Create an Heroku
Procfile (service definition)
echo "worker: node_modules/.bin/norrisbot" >> Procfile
Then prepare the project to be published through git:
git initecho "node_modules/" >> .gitignoregit add --allgit commit -am "first version"heroku git:remote --app norrisbot-myorg
Through heroku git
git push heroku master
Stop the web app (not present but started by default by Heroku) and run the worker:
heroku ps:scale web=0 worker=1
That's it, now go on your Slack organization and start enjoying Chuck Norris jokes! 😂
If you downloaded the source code of the bot you can build the bot with
npm run build
Then you can run it with:
$ npm start
Don't forget to set your
NORRISBOT_TOKEN environment variable bedore doing so and to install all the dependencies (including dev ones with NPM or Yarn).
Version 1 of NorrisBot has been developed in collaboration with Scotch.io. A very detailed article has been published to explain every single line of code. It also explains you how to deploy the bot on a free Heroku instance, so you should give it a shot!
Enjoy your reading!
Licensed under MIT License. © Luciano Mammino.