python-eagle-eye-manual-build-publish.yaml

name: Eagle Eye Image Publish

on:
  workflow_dispatch:
    inputs:
      branch:
        type: string
        description: Branch to push/publish
        required: true
jobs:
  build-eagle-eye-dist:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
        with:
          ref: ${{inputs.branch}}
      - 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: eu-central-1

      - name: Login to Amazon ECR
        id: login-ecr
        uses: aws-actions/amazon-ecr-login@v1

      - name: Set env
        run: echo "RELEASE_VERSION=${GITHUB_REF#refs/*/}" >> $GITHUB_ENV
      - name: Version Info
        run: |
          echo eagle eye lambda image build is starting with version: ${{ env.RELEASE_VERSION }}

      - name: Set up QEMU
        uses: docker/setup-qemu-action@v2

      - name: Set up Docker Buildx
        id: buildx
        uses: docker/setup-buildx-action@v2

      - name: Inspect builder
        run: |
          echo "Name:      ${{ steps.buildx.outputs.name }}"
          echo "Endpoint:  ${{ steps.buildx.outputs.endpoint }}"
          echo "Status:    ${{ steps.buildx.outputs.status }}"
          echo "Flags:     ${{ steps.buildx.outputs.flags }}"
          echo "Platforms: ${{ steps.buildx.outputs.platforms }}"

      - name: Build with buildx
        working-directory: ./premium/eagle-eye
        run: docker buildx build -f ./Dockerfile --platform linux/amd64 -t 359905442998.dkr.ecr.eu-central-1.amazonaws.com/python-eagle-eye-lambda:${{ env.RELEASE_VERSION }} --push .