jacobsanford/slack-hodor

Docker image : leverages python-rtmbot and python-rtmbot-hodor to monitor mentions of Hodor's name in a Slack channel and reply with a message:

Hodor's replies are determined 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.

Quick Start

1. Add a bot user to your slack team and obtain the API token.
2. Deploy the image, passing to it the API token in the SLACK_TOKEN environment variable:

docker run \
       --rm \
       --name hodorbot \
       -e SLACK_TOKEN=_API_TOKEN_OBTAINED_FROM_SLACK_INTEGRATION_ \
       jacobsanford/slack-hodor

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