Twitter bot powering www.twitter.com/arichduvet
Uses @sixohsix's Python-based Twitter API for posting and other actions.
Scraping done with the help of Kenneth Reitz's requests module and some rudimentary regular expressions.
A poster on this project was presented at PyCon US 2019 by me and at EuroPython 2019 by my friend Parth (because of my absence due to ongoing internship):
This bot framework is built in Python, so make sure Python 3.x is installed on your system. Once Python is installed, create a virtual environment in the root directory of this repo using the following command:
$ python3 -m venv bot
Then activate this virtual environment using:
$ source bot/bin/activate (for Windows users this can look like workon bot, see the relevant virtualenv documentation for exact usage)
Now install the dependencies using the following command:
$ pip install -r requirements.txt
You will need a PostgreSQL database service ready, a good free service is ElephantSQL. Once you've set up an empty database, save its url (it'll be needed while running init_script below).
For bot deployment, this framework uses Heroku, so you'll also need a Heroku account.
After creating a new app on Heroku dashboard, install the Heroku CLI on your machine. Then use the following commands to add a new remote to this repository:
$ heroku login
<enter your Heroku credentials>
...
$ heroku git:remote -a <your Heroku app name>
(You can setup a GitHub pipeline on Heroku, but instructions on setting it up are beyond the scope of this README.)
Now create a new branch for this repository, name it "deploy" and check it out:
$ git checkout -b deploy
Remove the chirps/credentials.py and chirps/screen_name.py entries from the .gitignore file. The file should now look like:
[.gitignore]
.DS_Store
.env
bot/
.vscode/
chirps/__pycache__/
Next, run the bot initialization script and enter the required information very carefully:
$ python -m chirps.init_script <your database URL>
The bot setup is essentially complete once this script executes successfully. Now you just need to "tune" certain options of the bot in the Heroku Procfile. Create a file named "Procfile" in the root of this repository and provide the configuration options as per your needs:
[Procfile] # Do not include this in file
worker: python3 -m chirps.main --rate=300 --fav --retweet --follow --follow_limit=6000 --scrape scrape_thenewstack get_tech_news
For example, the above Procfile says "Tweet every 5 minutes (300 seconds), like (favorite) and follow tweets (those tweets that have keywords specified in init_script.py), keep following people tweeting about those keywords till your following count reaches 6000, and use scraper functions scrape_thenewstack() and get_tech_news() for aggregating content to be tweeted by your bot. You can build your own tweet-er functions (usually scrapers) in scrapers.py (they should return or yield strings, which will be tweeted by your bot) and tune other parameters as per your requirements.
Finally, deploy your bot using the following command:
$ git push heroku deploy:master
Once the deployment completes, "switch on" the bot as follows:
$ heroku ps:scale worker=1
Now your bot should be up and running!
If you want to dig deeper into the codebase and know more about the implementation of "generator-of-generators" function in chirps/functions.py, see my tutorial on DigitalOcean which explains that part in detail.