lambda_deploy.yaml

name: Deploy to Amazon ECR and lambda

on:
  push:
    branches: ["main"]
  # pull_request_target:
  #   branches: ["main"]

env:
  AWS_REGION: us-east-1
  SHA: ${{ github.event.pull_request.head.sha || github.event.after }}
  DOCKERFILE_PATH: Dockerfile
  
  
jobs:
  deploy:
    strategy:
      matrix:
        LAMBDA_NAME: [lambda1, lambda2, lambda3]
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v4.1.7

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v4.0.2
        with:
          aws-session-token: ${{ secrets.AWS_SESSION_TOKEN_CORP }}
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID_CORP }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY_CORP }}
          aws-region: ${{ env.AWS_REGION }}

      - name: Login to Amazon ECR
        id: login-ecr
        uses: aws-actions/amazon-ecr-login@v2.0.1
      - name: Build, tag, and push image to Amazon ECR
        id: build-image
        env:
          ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
          IMAGE_TAG: ${{ github.sha }}
        run: |
          # Build a docker container and
          # push it to ECR so that it can
          # be deployed to ECS.
          docker build --target prod --build-arg LAMBDA_NAME=${{matrix.LAMBDA_NAME}} --provenance=false -t $ECR_REGISTRY/${{matrix.LAMBDA_NAME}}:$IMAGE_TAG .
          docker push $ECR_REGISTRY/${{matrix.LAMBDA_NAME}}:$IMAGE_TAG
          echo "image=$ECR_REGISTRY/${{matrix.LAMBDA_NAME}}:$IMAGE_TAG" >> $GITHUB_OUTPUT