Public | Automated Build

Last pushed: a year ago
Short Description
Have a good time working out at work using my flexbot!
Full Description

slackbot-workout

A fun hack that gets Slackbot to force your teammates to work out!

<img src = "https://ctrlla-blog.s3.amazonaws.com/2015/Jun/Screen_Shot_2015_06_10_at_5_57_55_PM-1433984292189.png" width = 500>

Instructions

  1. Clone the repo and navigate into the directory in your terminal.

    $ git clone git@github.com:mgyucht/slackbot-workout.git

  2. Go to your slack home page https://{yourgroup}.slack.com/home & click on Integrations on the left sidebar.

    <img src = "https://ctrlla-blog.s3.amazonaws.com/2015/Jun/Screen_Shot_2015_06_05_at_7_21_33_PM-1433557303531.png" width = 300>

  3. Scroll All the Way Down until you see Slack API and Slackbot. You'll need to access these two integrations.

    <img src="https://ctrlla-blog.s3.amazonaws.com/2015/Jun/Screen_Shot_2015_06_05_at_7_19_44_PM-1433557206307.png" width = 500>

  4. In the Slack API Page, select WebAPI in the left side bar, scroll all the way down, and register yourself an auth token. You should see this. Take note of the token, e.g. xoxp-2751727432-4028172038-5281317294-3c46b1. This is your User Auth Token

    <img src="https://ctrlla-blog.s3.amazonaws.com/2015/Jun/Screen_Shot_2015_06_05_at_7_00_24_PM-1433557433415.png" width = 500>

  5. Set up channel and customize configurations

    Copy default.yaml or default.json and configure to your heart's desire. There are a handful of sample configurations located in the samples/ directory.

  6. While in the project directory, run

     $ sudo ./install-dependencies.sh
     $ sudo pip install -r requirements.txt
     $ python -m samples.run_flexbot
    

    Run the script to start the workouts and hit ctrl+\ to stop the script. Hope you have fun with it!

Docker usage

Alternatively to running the source directly, my Docker hub page for flexbot is linked to the current version on the hackathon branch. This should simplify the setup substantially. In order to run this docker container, you need to bind mount the configuration and logging configuration into the /flexbot/configuration directory in the container. Additionally, you'll need to set up the port mapping for whatever port you have specified the web server to run on.

  1. Run docker pull yucht/flexbot:latest to get the most recent version from the registry.
  2. Run

    docker run -v <config_file>:/flexbot/configuration/config.yaml \
        -v <logging_config_file>:/flexbot/configuration/logging.yaml \
        -d -p 80:80 -t yucht/flexbot:latest
    

    where <config_file> is your flexbot configuration and <logging_config_file> is your logging
    configuration to start running flexbot.

To ease development, this docker container also exposes port 8080, so if you want to run a development version for testing and a production version simultaneously, you can simply bring up your webserver on port 8080 and run a production container and a development one simultaneously.

Usage

Currently, you can specify two configuration files, one which controls the behavior of slackbot, and the other which controls the behavior of the loggers in slackbot. The samples.flexbot module currently defaults to using config.yaml and logging.yaml in the current working directory, but you can specify alternate configuration files by using --config and --logging-config respectively. Slackbot can read both YAML and JSON files for the configuration files and exercise files.

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Owner
yucht
Source Repository