marcua / nommer Goto Github PK

A collection of tools to nom on the tweet stream:

• timeline_stats.py will tell you who the most prolific/tweetiest people you follow are.
• that's it for now. Yay Sunday afternoons!

At the command line, type the following:

git clone [email protected]:marcua/nommer.git
cd nommer
pip install -r requirements.txt
cp settings.py.template settings.py

• Create a new Twitter app.
• Copy its key/secret to API_KEY/API_SECRET in the settings.py file.
• Run a script, like python timeline_stats.py
• The script will provide you with a URL to visit.
• Go to the URL and permit your application to access your account.
• Copy the verifier token to the waiting script.
• Copy the AUTH_KEY/AUTH_SECRET into settings.py.
• Profit.

Run python timeline_stats.py. The output will look something like this:

Period: 2014-07-20 19:00:06 - 2014-07-20 19:31:01 (0:30:55)
Total tweets 8
Tweetiest people (format is "@person - # tweets (% of total tweets)"):
  person1 - 3 (37.50%)
  person2 - 2 (25.00%)
  person3 - 1 (12.50%)
  person4 - 1 (12.50%)
  person5 - 1 (12.50%)

Issue a pull request. I'm friendly