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WilliamBergamin/bolt-python-step-template

A template for building Slack steps with Bolt for Python

Bolt for Python steps template

This is a generic Bolt for Python template app used to build out Slack custom steps.

Installation

Create a Slack App

  1. Open https://api.slack.com/apps/new and
    choose "From an app manifest"
  2. Choose the workspace you want to install the application to
  3. Copy the contents of manifest.json into the text box that
    says *Paste your manifest code here* (within the JSON tab) and click Next
  4. Review the configuration and click Create
  5. Click Install button and Allow on the screen that follows. You'll then be
    redirected to the App Settings dashboard.

Environment Variables

Before you can run the app, you'll need to store some environment variables.

  1. Rename .example.env to .env
  2. Open your apps setting page from this list, click OAuth &
    Permissions
    in the left hand menu, then copy the Bot User OAuth Token. You
    will store this in your environment as SLACK_BOT_TOKEN.
  3. Click *Basic Information from the left hand menu and follow the steps in
    the App-Level Tokens section to create an app-level token with the
    connections:write scope. Copy this token. You will store this in your
    environment as SLACK_APP_TOKEN.
  4. Populate the other environment variable value with proper values.

Local Project

# Clone this project onto your machine
git clone https://github.com/WilliamBergamin/bolt-python-step-template.git

# Change into this project directory
cd bolt-python-step-template

# Setup your python virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install the dependencies
pip3 install -r requirements.txt

# Start your local server
python3 app.py

Linting

# Run ruff from root directory for linting
ruff check

# Run ruff from root directory for code formatting
ruff format
ruff check --fix

Testing

For an example of how to test a function, see
tests/.

Run all tests with:

pytest tests/

Type checking

mypy --config-file pyproject.toml

Using Steps in Workflow Builder

With your server running, your function is now ready for use in
Workflow Builder! Add it as a
custom step in a new or existing workflow, then run the workflow while your app
is running.

For more information on creating workflows and adding custom steps, read more
here.

WilliamBergamin/bolt-python-step-template | GitHunt