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SKFBOT

Introduction

skfbot is a chat bot built on the [Hubot][hubot] framework. It was initially generated by [generator-hubot][generator-hubot], and configured to be deployed on [Heroku][heroku] to get you up and running as quick as possible.

Where to Check:

You can check this bot on gitter.im in the following lobbies:

SKF-Gitter_chatbot/Lobby Join the chat at https://gitter.im/SKF-Gitter_chatbot/Lobby

Security-Knowledge-Framework/Lobby Join the chat at https://gitter.im/Security-Knowledge-Framework/Lobby

Gitter Setup

To get hubot, or in our case skfbot running, these are the steps that had to be followed. I have captured them here so that we don't forget what was done 😸

NOTE: Although there are two hubot adapter's for Gitter, we found that only one of them works. Namely, this one. The other one seems older, and has been replaced by the one that we ended up using.

  • Login into Gitter with the Github account that you want to run as your bot(Probably make a new github account which have only one repo which is your bot)

  • Join the room that you want the bot to be activated on (i.e. Security-Knowledge-Framework/Lobby)

  • Install node.js (which includes npm)

  • Install Heroku Toolkit (In case of Ubuntu * 'sudo snap install heroku --classic') for other refer this

  • mkdir skfbot

  • cd skfbot

  • heroku login

  • npm install --global coffee-script hubot

  • npm install --global yo generator-hubot

  • yo hubot (when prompted, enter gitter2 as adapter name, and skfbot as name

  • npm install --save hubot-gitter2

  • git init

  • git add .

  • git commit -m "Initial commit"

  • heroku create

  • heroku config:set HUBOT_GITTER2_TOKEN=**** (here the token is the Personal Access Token for Github Account that will be running as the bot, in our case, the skf-bot user on Github. The Personal Access Token can be retrieved from here

  • heroku config:set HEROKU_URL=https://whispering-peak-2284.herokuapp.com/ (this is to keep the heroku application alive. The URL is generated from the heroku create command above

  • heroku config:set HUBOT_GITTER2_TESTING_ROOMS=Security-Knowledge-Framework/Lobby (this was used initially to verify that it was working on one room in particular, but it was later removed so that any room that skfbot user is signed into will respond to commands)

  • heroku config:set HUBOT_ADAPTER="gitter2" (this ensures we use the gitter2 adapter)

  • heroku addons:create scheduler:standard (this adds the free heroku scheduler to your account)

  • Sign into your heroku account, and click on the newly created scheduler image

  • Edit the settings of the job to look like the following: image NOTE: The next due time you be set as the same as the HUBOT_HEROKU_WAKEUP_TIME above.

  • git push heroku master

  • heroku logs (if all goes well here, you should see something simalar to the following)

image

If all of the above has worked, go to your Gitter Chat Room, and try issuing a hubot command like @skfbot ping and hopefully you will see the following:

image

Running skfbot Locally

You can test your hubot by running the following locally.

You can clone this repo in your system and then cd skfbot

After that you can start skfbot locally by running:

$ ./bin/hubot

You'll see some start up output and a prompt:

[Sat Feb 28 2015 12:38:27 GMT+0000 (GMT)] INFO Using default redis on localhost:6379
skfbot>

Then you can interact with skfbot by typing skfbot help.

skfbot> skfbot help
skfbot animate me <query> - The same thing as `image me`, except adds [snip]
skfbot help - Displays all of the help commands that skfbot knows about.
...

Scripting

An example script is included at scripts/example.coffee, so check it out to get started, along with the Scripting Guide.

For many common tasks, there's a good chance someone has already one to do just the thing.

hubot-scripts

There will inevitably be functionality that everyone will want. Instead of writing it yourself, you can check hubot-scripts for existing scripts.

To enable scripts from the hubot-scripts package, add the script name with extension as a double quoted string to the hubot-scripts.json file in this repo.

external-scripts

Hubot is able to load scripts from third-party npm package. Check the package's documentation, but in general it is:

  1. Add the packages as dependencies into your package.json
  2. npm install to make sure those packages are installed
  3. Add the package name to external-scripts.json as a double quoted string

You can review external-scripts.json to see what is included by default.

Adapters

Adapters are the interface to the service you want your hubot to run on. This can be something like Campfire or IRC. There are a number of third party adapters that the community have contributed. Check Hubot Adapters for the available ones.

If you would like to run a non-Campfire or shell adapter you will need to add the adapter package as a dependency to the package.json file in the dependencies section.

Once you've added the dependency and run npm install to install it you can then run hubot with the adapter.

% bin/hubot -a <adapter>

Where <adapter> is the name of your adapter without the hubot- prefix.

Deployment

% heroku create --stack cedar
% git push heroku master

If your Heroku account has been verified you can run the following to enable and add the Redis to Go addon to your app.

% heroku addons:add redistogo:nano

If you run into any problems, checkout Heroku's docs.

You'll need to edit the Procfile to set the name of your hubot.

More detailed documentation can be found on the deploying hubot onto Heroku wiki page.

Deploying to UNIX or Windows

If you would like to deploy to either a UNIX operating system or Windows. Please check out the deploying hubot onto UNIX and deploying hubot onto Windows wiki pages.

If the bot listens to everything in the lobby try adding this in your code:

robot.hear /@skfchatbot (.*)/i, (res)->

After this it will only listens to its name

More details in Script folder

Restart the bot

You may want to get comfortable with heroku logs and heroku restart if you're having issues.

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  • CoffeeScript 88.7%
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