chore: import upstream snapshot with attribution
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@@ -0,0 +1,86 @@
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name: Build and Push Docker Image
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on:
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pull_request:
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types: [closed]
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branches:
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- main
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workflow_dispatch:
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inputs:
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tag:
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description: 'Docker image tag'
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required: true
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default: 'latest'
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env:
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DOCKERHUB_IMAGE: pyd4vinci/scrapling
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GHCR_IMAGE: ghcr.io/${{ github.repository_owner }}/scrapling
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jobs:
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build-and-push:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Checkout repository
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uses: actions/checkout@v6
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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with:
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platforms: linux/amd64,linux/arm64
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- name: Log in to Docker Hub
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uses: docker/login-action@v3
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with:
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registry: docker.io
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username: ${{ secrets.DOCKER_USERNAME }}
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password: ${{ secrets.DOCKER_PASSWORD }}
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- name: Log in to GitHub Container Registry
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uses: docker/login-action@v3
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with:
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registry: ghcr.io
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username: ${{ github.actor }}
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password: ${{ secrets.CONTAINER_TOKEN }}
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- name: Extract metadata
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: |
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${{ env.DOCKERHUB_IMAGE }}
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${{ env.GHCR_IMAGE }}
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tags: |
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type=ref,event=branch
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type=ref,event=pr
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type=semver,pattern={{version}}
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type=semver,pattern={{major}}.{{minor}}
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type=semver,pattern={{major}}
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type=raw,value=latest,enable={{is_default_branch}}
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labels: |
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org.opencontainers.image.title=Scrapling
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org.opencontainers.image.description=An undetectable, powerful, flexible, high-performance Python library that makes Web Scraping easy and effortless as it should be!
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org.opencontainers.image.vendor=D4Vinci
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org.opencontainers.image.licenses=BSD
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org.opencontainers.image.url=https://scrapling.readthedocs.io/en/latest/
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org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
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org.opencontainers.image.documentation=https://scrapling.readthedocs.io/en/latest/
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- name: Build and push Docker image
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uses: docker/build-push-action@v6
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with:
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context: .
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platforms: linux/amd64,linux/arm64
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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build-args: |
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BUILDKIT_INLINE_CACHE=1
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- name: Image digest
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run: echo ${{ steps.build.outputs.digest }}
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