dd_emoji

dd slack emoji monitoring - a small express application leveraging the slack api, datadog, redis, and a few other free and open source tools to monitor slack emoji status, trends, and sentiment.

Setup and Installation

• clone this repository and cd into the root of the directory
• touch .env
• in the .env file, add your SLACK TOKEN (found on slack here ) and Redis Host, Port, and Password to the .env file. I used the RedisToGo free plan, but a local redis server would work fine for development purposes (simply install redis by following the directions here and, in another terminal, run redis-server to expose redis locally on localhost:6379 )
• in the .env file, add your Datadog API_KEY and APP_KEY to the .env file in this repository. DatadogHQ is a monitoring platform that's free to sign up for at https://www.datadoghq.com/.
• in the .env file, add your Companies Email Domain. For example examplecompany.com, gmail.com , wayneenterprises.com, umbrellacorporation.com, biffco.com , nakatomi-corporation.com, stricklandpropane.com or any other very real company email domain.
• in the .env file, indicate an environment for datadog. Do not use DD_ENV=dev unless you've read the repository carefully.
• npm install
• npm start

Usage

• To collect metrics, make a HTTP GET Request to localhost:3000/?sendMetrics=yes or wherever your application is hosted (this works great hosted on (glitch.me)[glitch.me] ).
• When passing the query string parameter sendMetrics=yes in your GET Request, this application will generate a gauge metric sent to Datadog called emoji.active tagged with the emoji_name representing the current number of times each emoji is currently being used in slack by an active employee with your company's email domain, including custom emoji. It will also generate the metric emoji.active_sentiment , that represented the average sentiment of all your Slack User's Emoji Status, according to the AFINN-165 wordlist and Emoji Sentiment Ranking scale between -5 and 5. You can learn more about this calculation here.
• To generate an HTML report, make a HTTP GET Request to localhost:3000 or wherever your application is hosted.

Example HTML Report and Datadog Dashboard

• HTML Report

• Datadog Dashboard