​
Automated Deploys

It’s fairly straightforward to setup automation for deploying your code to Beam. At a high level, the following steps are all you need: 
curl https://raw.githubusercontent.com/slai-labs/get-beam/main/get-beam.sh -sSfL | sh
pip3 install --upgrade pip
pip3 install beam-sdk
beam configure --clientId=$BEAM_CLIENT_ID --clientSecret=$BEAM_CLIENT_SECRET --profile=$PROFILE
beam deploy app.py --$PROFILE

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Authentication

You can initialize Beam with inline credentials using the beta9 config command. You can also add an optional field --profileName to override the default profile. For example, you might want separate dev, staging, and prod profiles. 
beam configure --clientId="MY_CLIENT_ID" --clientSecret="MY_CLIENT_SECRET" --profileName="staging"

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Example: Deploy on Github Commit

You can setup a Github workflow to deploy your code whenever a new commit is made to your Git repo. Here’s an example workflow:
deploy-to-beam.yml
name: deploy-beam

on:
  push:
    branches:
      - master

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest
    environment: production

    steps:
      - uses: actions/checkout@v3
      - name: Authenticate Beam and Deploy
        env:
          BEAM_CLIENT_ID: ${{ secrets.BEAM_CLIENT_ID }}
          BEAM_CLIENT_SECRET: ${{ secrets.BEAM_CLIENT_SECRET }}
          PROFILE: ${{ secrets.BEAM_PROFILE }}
        run: |
          curl https://raw.githubusercontent.com/slai-labs/get-beam/main/get-beam.sh -sSfL | sh
          pip3 install --upgrade pip
          pip3 install beam-sdk
          beam configure --clientId=$BEAM_CLIENT_ID --clientSecret=$BEAM_CLIENT_SECRET
          beam deploy app.py