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Glossary Bot

This is a simple web app designed to be used as a Slack integration. Specifically, it responds to POSTs created by the Slack Slash Commands integration and responds with messages to Slack’s Incoming Webhooks integration.

Glossary Bot maintains a glossary of terms created by its users, and responds to requests with definitions.



Glossary Bot is a Flask app built to run on Heroku.

To install locally, clone this repository and cd into the resulting directory:

git clone
cd glossary-bot

Set up and activate a new virtual environment using Virtualenv:

virtualenv venv-glossary-bot

Activate the virtual environment:

source venv-glossary-bot/bin/activate

Install the required packages with pip:

pip install -r requirements.txt

Create the production PostgreSQL database:

createdb glossary-bot

Copy env.sample to .env and make sure that the value of DATABASE_URL in .env matches the name of the database you created in the last step:

cp env.sample .env

Initialize the database:

python createdb

And run the application:

python runserver


To run the app’s tests, first create a test database. Make sure the name of the database matches the value of environ['DATABASE_URL'] set in the setUp() function in test/

createdb glossary-bot-test

You can now run the tests from the command line:

python runtests

or run an individual test:

python tests/ BotTestCase.test_get_definition

Set Up on Slack

Glossary Bot uses two Slack integrations: Slash Commands for private communication between the bot and the user, and Incoming Webhooks for posting public messages.

Set up a Slash Command integration. There are three critical values that you need to set or save: Command is the command people on slack will use to communicate with the bot. We use /gloss. URL is the public URL where the bot will live; you can fill this in after you’ve deployed the application to Heroku, as described below. Token is used to authenticate communication between Slack and the bot; save this value for when you’re setting up the bot on Heroku.

Set up an Incoming Webhooks integration. The two important values here are: Post to Channel, which is a default channel where public messages from the bot will appear. This default is always overridden by the bot, but you do need to have one – we created a new channel called #testing-glossary-bot for this purpose. Save the value of Webhook URL; this is the URL that the bot will POST public messages to, and you’ll need it when setting up Gloss Bot on Heroku.

Deploy on Heroku

Now it’s time to deploy the bot to Heroku! First, make sure you’ve got the basics set up by following Heroku’s instructions for getting started with Python.

Now, create a new Heroku application with a unique name:

heroku create my-glossary-bot

When you deploy your app, it’ll be reachable at a URL like Enter this URL into the URL field of the Slash Commands integration on Slack. See the Heroku documentation for more configuration options.

To give the bot everything it needs to communicate with Slack, set the config variables you saved when you set up the Slack integrations above. The Token from the Slash Command integration:

heroku config:set SLACK_TOKEN=1234567890

and the Webhook URL from the Incoming Webhooks integration:

heroku config:set SLACK_WEBHOOK_URL=

You can also set these variables in the Heroku web interface.

Now run a git push to deploy the application:

git push heroku master

And you’re good to get glossing!

Upgrade on Heroku

You’ve got an older version of Gloss Bot on Heroku and want to upgrade to the latest version. First, guarantee that you’ve got a backup of your database by following the instructions in Heroku’s PGBackups documentation.

Now, do a git pull in your local glossbot directory:

git pull

And deploy it to Heroku:

git push heroku master

You may need to run database migrations to get your database current with the new version:

heroku run python db upgrade

If you get errors when you try that, you may need to stamp your database with a revision id that matches its current state. You can check whether that’s the problem by connecting to your remote database:

heroku pg:psql

And in psql, checking for the alembic_version table:

SELECT * FROM alembic_version;

If that gives you an error like ERROR: relation "alembic_version" does not exist then you need to create that table. First type \q to leave psql, then run this heroku command:

heroku run python db stamp 578b43a08697

That will create the alembic_version table and give it a value for version_num of 578b43a08697, which matches the inital database migration for the application.

Now that you’ve done that, you should be able to run

heroku run python db upgrade

without errors.

Project Status production
Skills Needed
Tags slack bot integration python flask glossary dictionary