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Publish Docker image workflow (aigc-apps/PAI-RAG)

The Publish Docker image workflow from aigc-apps/PAI-RAG, explained and optimized by Latchkey.

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Source: aigc-apps/PAI-RAG.github/workflows/docker.ymlLicense MITView source

What it does

This is the Publish Docker image workflow from the aigc-apps/PAI-RAG repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

workflow (.yml)
name: Publish Docker image

# Configures this workflow to run every time a change is pushed to the branch called `release`.
on:
  workflow_dispatch:
  push:
    branches: ["feature"]
    paths:
      - 'backend/**'
      - 'frontend/**'
      - 'integrations/**'
      - 'resources/**'
      - 'alembic/**'
      - 'alembic.ini'
      - 'scripts/**'
      - '**/pyproject.toml'
      - '**/poetry.lock'
      - 'Dockerfile'
      - '.github/workflows/docker.yml'

# Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds.
env:
  TEST_REGISTRY: registry.cn-hangzhou.aliyuncs.com

# There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu.
jobs:
  build-and-push-image:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v4

      - name: Check disk space
        run: df . -h

      - name: Free disk space
        run: |
          sudo docker rmi $(docker image ls -aq) >/dev/null 2>&1 || true
          sudo rm -rf \
            /usr/share/dotnet /usr/local/lib/android /opt/ghc \
            /usr/local/share/powershell /usr/share/swift /usr/local/.ghcup \
            /usr/lib/jvm || true
          df . -h
    
      - name: Extract version
        run: |
          pip install poetry
          VERSION_TAG=$(poetry version --short)
          CURRENT_TIME="`date +%Y%m%d%H%M%S`"
          echo "VERSION_TAG=$VERSION_TAG" >> $GITHUB_ENV
          echo "TIME_VERSION_TAG=$VERSION_TAG-$CURRENT_TIME" >> $GITHUB_ENV

      - name: Login to ACR Hangzhou region
        uses: docker/login-action@v1
        with:
          registry: ${{ env.TEST_REGISTRY }}
          username: ${{ secrets.ACR_USER }}
          password: ${{ secrets.ACR_PASSWORD }}

      - name: Build and push image
        env:
          TEST_IMAGE_TAG: ${{env.TIME_VERSION_TAG}}
        run: |
          docker build -t ${{ env.TEST_REGISTRY }}/mybigpai/pai-rag:$TEST_IMAGE_TAG .
          docker push ${{ env.TEST_REGISTRY }}/mybigpai/pai-rag:$TEST_IMAGE_TAG

      - name: Free disk space
        run: |
          docker image prune --filter "until=168h" --force -a
          docker builder prune --filter "until=24h" -f

The same workflow, on Latchkey

Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.

name: Publish Docker image
 
# Configures this workflow to run every time a change is pushed to the branch called `release`.
on:
  workflow_dispatch:
  push:
    branches: ["feature"]
    paths:
      - 'backend/**'
      - 'frontend/**'
      - 'integrations/**'
      - 'resources/**'
      - 'alembic/**'
      - 'alembic.ini'
      - 'scripts/**'
      - '**/pyproject.toml'
      - '**/poetry.lock'
      - 'Dockerfile'
      - '.github/workflows/docker.yml'
 
# Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds.
env:
  TEST_REGISTRY: registry.cn-hangzhou.aliyuncs.com
 
# There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu.
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build-and-push-image:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - name: Checkout repository
        uses: actions/checkout@v4
 
      - name: Check disk space
        run: df . -h
 
      - name: Free disk space
        run: |
          sudo docker rmi $(docker image ls -aq) >/dev/null 2>&1 || true
          sudo rm -rf \
            /usr/share/dotnet /usr/local/lib/android /opt/ghc \
            /usr/local/share/powershell /usr/share/swift /usr/local/.ghcup \
            /usr/lib/jvm || true
          df . -h
    
      - name: Extract version
        run: |
          pip install poetry
          VERSION_TAG=$(poetry version --short)
          CURRENT_TIME="`date +%Y%m%d%H%M%S`"
          echo "VERSION_TAG=$VERSION_TAG" >> $GITHUB_ENV
          echo "TIME_VERSION_TAG=$VERSION_TAG-$CURRENT_TIME" >> $GITHUB_ENV
 
      - name: Login to ACR Hangzhou region
        uses: docker/login-action@v1
        with:
          registry: ${{ env.TEST_REGISTRY }}
          username: ${{ secrets.ACR_USER }}
          password: ${{ secrets.ACR_PASSWORD }}
 
      - name: Build and push image
        env:
          TEST_IMAGE_TAG: ${{env.TIME_VERSION_TAG}}
        run: |
          docker build -t ${{ env.TEST_REGISTRY }}/mybigpai/pai-rag:$TEST_IMAGE_TAG .
          docker push ${{ env.TEST_REGISTRY }}/mybigpai/pai-rag:$TEST_IMAGE_TAG
 
      - name: Free disk space
        run: |
          docker image prune --filter "until=168h" --force -a
          docker builder prune --filter "until=24h" -f
 

What changed

1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.

What Latchkey heals here

This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:

This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow