I wanted to play around with Event Emitters in Node tonight. Pretty neat! I’m going to have to figure out a way to incorporate this into future projects.
It gives me a bit more insight into how things like WebSockets work as well.
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I wanted to play around with Event Emitters in Node tonight. Pretty neat! I’m going to have to figure out a way to incorporate this into future projects.
It gives me a bit more insight into how things like WebSockets work as well.
Current Version: 0.1.4
Say hello to NodeEBot (pronounced as “nodey bot” or even “naughty bot”, if you prefer). It stands for Node E-books Bot.
It’s a Nodejs package for creating Twitter bots which can write their own tweets and interact with other users (by favoriting, replying, and following). This project draws heavy inspiration from the twitter_ebooks gem for Ruby.
You can see two examples of this bot in action at @daveleeeeee and @roboderp.
This project requires Nodejs v0.10.35+. If you’re looking for a place to host Nodejs projects, I’ve had success setting up a free Ubuntu virtual server through Amazon’s Web Services dashboard and installing nodejs on it.
To run, copy the project into your preferred directory and then install the required dependencies using:
npm install
You can edit various configuration settings in the bot.js file. Before you can begin you’ll need to have Twitter API credentials which can be setup right here. Once you have your consumer API key and secret as well as your access token and secret, add them to the top of the bot.js file:
// Twitter API configuration
var client = new Twitter({
consumer_key: ‘xxxx’,
consumer_secret: ‘xxxx’,
access_token_key: ‘xxxx’,
access_token_secret: ‘xxxx’
});
You’ll also need to add the Twitter username of your bot (without the @ symbol) to the config file. (This is for tracking mentions as well as making sure the bot ignores actions from itself so it doesn’t get caught in a loop).
// Your robot’s Twitter username (without the @ symbol)
// We use this to search for mentions of the robot and to prevent it from replying to itself
robotName = “xxxx”;
Once that’s done, the bot is almost ready to go. You can modify a few other settings that influence how chatty the bot is, how often it will interact with other users or use random hashtags and emojis.
In order to run the bot, I use the forever npm package. This allows us to automatically restart the server in case of a crash, as well as force restart the server in order to reload the Twitter stream (added in v 0.1.2).
The one last thing that you’ll need to do is give it some source material to generate text from. I use source material my own Twitter archive.
Right now, I haven’t implemented a way to parse the Twitter’s csv data that’s generated when you request your history. In the meantime, I’ve simply opened up the tweets.csv in a spreadsheet app, copied the contents of the ‘text’ column into a new file and used that as the source material. This script will treat each line as a separate and unique sentence.
I’ve added some basic ability to strip our Twitter usernames and URLs from the archive. That means it will treat something like:
@davely That’s great. I’ve seen something like that before.
http://flickr.com/…
as
That’s great. I’ve seen something like that before.
If you want to run multiple bots for different Twitter accounts, copy this project into separate folders (e.g., ~/MyBot1, ~/MyBot2, ~/MyBot3, etc) and make sure you input the proper Twitter API credentials at the top of each bot.js file. Then spool up separate node instances and load up the relevant bot files.
If you end up using this script in your own Twitter bots, let me know! I’d love to know how it works out for you and please let me know about any improvements or suggestions you might have.
Thanks for checking it out!
I’ve been playing around with Node.js recently and taking some of the neat online lessons available through Nodeschool. One of the lessons involved streaming realtime data between the client and server using Socket.io.
This sounded insanely powerful and fun, so I took a break from the rest of the lessons and started playing around with Socket.io. They have a tutorial that explains how to build a simple, realtime chat application using its library in about 20 minutes.
I’ve uploaded the results of this little project to Github and you can view it right here. This little web app is more or less a result of tutorial and I’ve added some additional stuff as I played around with it:
All in all, it’s been a really fun learning process and has given me some ideas on how to use Node.js for future realtime applications.
Note: You can see this in action on Heroku. You’ll probably be the only one only, but hey! https://davechat.herokuapp.com/