Slack Hodor Integration

Plugin for python-rtmbot : listens for mentions of Hodor's name in slack channels and reply with a message.

Messages are pre-defined from a basic module import and classified by mood.

The 'mood' of reply is determined by comparing the content of the triggering message against a library of words and human interpreted intent scoring. After mood assignment, a message is chosen based on a 'item drop' type selection process that allows for weighting of responses.

Docker

A docker image has been created to deploy this service quickly.

QuickStart

1. Download the python-rtmbot code

    git clone git@github.com:slackhq/python-rtmbot.git
    cd python-rtmbot
   

2. Install dependencies (virtualenv is recommended.)

    pip install -r requirements.txt
   

3. Configure rtmbot (https://api.slack.com/bot-users)

    cp doc/example-config/rtmbot.conf .
    vi rtmbot.conf
      SLACK_TOKEN: "xoxb-11111111111-222222222222222"
   

4. Download and enable this plugin

    git submodule add -f git://github.com/JacobSanford/python-rtmbot-hodor.git plugins/hodor
   

5. Start

    ./rtmbot.py
   

Run As Daemon

If you plan on running the Slack Hodor Integration for long periods of time, you may consider using a process manager daemon such as supervisor to start and stop the rtmbot. A supervisor tutorial is available here.

License

• Slack Hodor Integration is licensed under the MIT License:
  • http://opensource.org/licenses/mit-license.html
• Attribution is not required, but much appreciated:
  • Slack Hodor Integration by Jacob Sanford

Sources

• Mood is chosen based on a dataset 'AFINN' generated by Finn Arup Nielsen in 2009-2011 and used under the "Open Database License (ODbL) v1.0". http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010