A Github Action to deploy AWS Lambda functions written in Python with their dependencies in a separate layer. For now, only works with Python 3.6.

Doesn't take any arguments. Deploys everything in the repo as code to the Lambda function, and installs/zips/deploys the dependencies as a separate layer the function can then immediately use.

• Lambda code should be structured normally/as Lambda would expect it.
• Dependencies must be stored in a requirements.txt.

Passed to the action through a with block, can be pulled from secrets. But also please don't put your AWS keys outside Secrets.

• AWS Credentials
  That includes the AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, etc. It's used by awscli, so the docs for that can be found here.
• LAMBDA_LAYER_ARN
  The ARN for the Lambda layer the dependencies should be pushed to without the version (every push is a new version).
• LAMBDA_FUNCITON_NAME
  The Lambda function name. From the AWS docs, it can be any of the following:
  • Function name - my-function
  • Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function
  • Partial ARN - 123456789012:function:my-function

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
      - name: Configure AWS Credentials
        uses: aws-actions/configure-aws-credentials@v1
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: ${{ secrets.DEFAULT_AWS_REGION }}
      - name: Py Lambda Deploy
        uses: mariamrf/py-lambda-action@master
        with:
          lambda_layer_arn: ${{ secrets.LAMBDA_LAYER_ARN }}
          lambda_function_name: ${{ secrets.LAMBDA_FUNCTION_NAME }}