I re-used my Twitter bot script of How to create a simple Twitter bot with Python. The main goal was to auto-tweet each new post of our blog, but while I was at it I decided to 'watch' a couple of feeds more. Follow @pybites to get our updates and other good Python news / content ...
Probably the best site to follow Python news feeds is Planet Python, yet for this exercise I found reposting 20+ new links a day too much (not another spam bot please!), so I decided to watch these 7:
# more feeds http://pybit.es/feeds/all.rss.xml https://talkpython.fm/episodes/rss https://pythonbytes.fm/episodes/rss https://dbader.org/rss https://www.codementor.io/python/tutorial/feed http://feeds.feedburner.com/PythonInsider http://www.weeklypython.chat/feed/
I wanted to include Python Weekly, but could not find an RSS feed, probably because it's an email service.
Need to say it: Talk Python To Me is awesome, a podcast every Python developer should listen to!
Code and install instructions (if you want to re-use this) are on Github. Basically I parse the feeds file above, use feedparser to get the articles for each feed that were published less than 24 hours ago, and use tweepy to post these to Twitter.
I hide config.py in .gitignore and provide a blank config.py-example under version control. This is to hide the Twitter key/token stuff. As I run this in a daily cronjob, I turned on logging for debugging.
All together pretty impressive that you can do all this in just 67 LOC, mainly because we use PyPI.
Env / dependencies
(venv) $ pip freeze > requirements.txt
Now you can get this script running simply by cloning my env:
$ virtualenv venv  $ source venv/bin/activate (venv) $ pip install -r requirements.txt
Here is a filter of this morning's run where we caught our last post, a new Talk Python podcast episode and a nice new post from Dan Bader:
# grep posted pybites_twitter.log 04:55:54 root DEBUG posted status Learning from Python mistakes http://pybit.es/py-mistakes.html #python to twitter 04:55:57 root DEBUG posted status #91 Top 10 Data Science Stories of 2016 https://talkpython.fm/episodes/show/91/top-10-data-science-stories-of-2016 #python to twitter 04:56:00 root DEBUG posted status The Difference Between “is” and “==” in Python https://dbader.org/blog/difference-between-is-and-equals-in-python #python to twitter
Automating Twitter :)
Another cool thing about the logging module is that you get the imported packages logging for free. The following entries in my log files were not added by the code I wrote, they came from tweepy and/or feedparser and/or their dependencies!
# more pybites_twitter.log |cut -d' ' -f2|sort|uniq -c |sort -nr ... 15 requests_oauthlib.oauth1_auth 15 oauthlib.oauth1.rfc5849 6 requests.packages.urllib3.connectionpool 3 tweepy.binder
Daily cronjob on server. I needed to export the site-packages path defined in PYTHONPATH:
0 2 * * * export PYTHONPATH=/path/to/python3.5/site-packages && cd /path/to/twitter_bot && /path/to/python3.5 tweetbot.py
TODO: checkout if Python's sched is a better alternative?
Again, using PyPI you save yourself a lot of coding (= time).
In just 67 LOC I could built a complete Twitterbot that will auto-post our new blog posts as well as some other good Python blogs and podcasts. We might add a few more feeds but this will do for starters.
Tests?! Yeah I know ... as I am writing this I am adding some tests using (learning) pytest (I used unittest so far). I will blog about this framework in an upcoming post ...
Any suggestion of feedback use the comments below. Thanks for reading.
And to get our latest posts and other good Python content follow @pybites.
Keep Calm and Code in Python!
See an error in this post? Please submit a pull request on Github.