In your dbt project directory, create a new file named slack_bot.py and open it.

Type this message: /invite the side-bar, right-click on the channel name and click on Open channel details.Ī modal should open and at the very bottom there is a channel ID. Now switch to a Slack window and go to a channel that you want the bot to post messages to.

Copy the resulting Bot User OAuth Token and put it in a safe place.Go to Install App and click on Install to Workspace.Click Add an OAuth Scope and add these scopes: channels:join and chat:write.On the left sidebar find Bot Token Scopes.The first step is to configure a Slack bot via the Slack website: The bot will be written in Python and we will use fal to run the bot script inside a dbt project. In this post, we will walk through a process of building a simple Slack bot that sends messages about dbt models.

They can enhance whatever workflow they are a part of, be it project management, version control or simple content sharing.Īs we bring our dbt projects to production, Slack bots can help us stay on top of dbt runs and models. Using Slack bots can be a great time saver.

Slack api python