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. PRs welcome.

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.

In order for the Action to have access to the code, you must use the actions/checkout@master job before it. See the example below.

• Lambda code should be structured normally/as Lambda would expect it.
• Dependencies must be stored in a requirements.txt or a similar file (provide the filename explicitly if that's the case).

Stored as secrets or env vars, doesn't matter. 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_function_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
• requirements_txt The name/path for the requirements.txt file. Defaults to requirements.txt.

name: deploy-py-lambda
on:
  push:
    branches:
      - master
jobs:
  build:
    runs-on: ubuntu-latest
    
    steps:
    - uses: actions/checkout@master
    - name: Deploy code to Lambda
      uses: mariamrf/py-lambda-action@v1.0.0
      with:
        lambda_layer_arn: 'arn:aws:lambda:us-east-2:123456789012:layer:my-layer'
        lambda_function_name: 'my-function'
      env:
        AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
        AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        AWS_DEFAULT_REGION: 'us-east-2'