mirror of
https://github.com/paperless-ngx/paperless-ngx.git
synced 2025-12-29 01:38:11 +01:00
Fixes the error: "cd: /home/user/IntelliDocs-ngx: No such file or directory"
Changes:
- Removed hardcoded absolute path `/home/user/IntelliDocs-ngx` from line 48
- After `actions/checkout@v4`, the runner is already in the project directory
- Using the implicit `${{ github.workspace }}` is the standard practice
This fixes the workflow failure in the "Install Python dependencies" step
of the "test-ml-dependencies" job.
Issue: GitHub Actions runners don't have this local development path
Solution: Rely on the default working directory set by actions/checkout
263 lines
8.8 KiB
YAML
263 lines
8.8 KiB
YAML
name: IntelliDocs Docker Build & Deploy
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on:
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push:
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branches: [dev, main, 'claude/**']
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paths-ignore:
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- 'docs/**'
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- '**.md'
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- '.github/workflows/ci.yml'
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pull_request:
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branches: [dev, main]
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workflow_dispatch:
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env:
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REGISTRY: ghcr.io
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IMAGE_NAME: ${{ github.repository }}
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jobs:
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# ============================================================================
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# JOB 1: Validar dependencias ML/OCR
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# ============================================================================
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test-ml-dependencies:
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name: Validate ML/OCR Dependencies
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runs-on: ubuntu-24.04
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.12'
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- name: Install UV package manager
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uses: astral-sh/setup-uv@v6
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with:
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version: '0.9.x'
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- name: Install system dependencies for OpenCV/ML
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run: |
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sudo apt-get update -qq
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sudo apt-get install -qq --no-install-recommends \
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libglib2.0-0 libsm6 libxext6 libxrender1 libgomp1 libgl1
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- name: Install Python dependencies
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run: |
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uv sync --all-extras
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- name: Test ML/OCR imports
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run: |
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uv run python -c "
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import sys
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try:
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import torch
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print(f'✅ torch: {torch.__version__}')
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except ImportError as e:
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print(f'❌ torch: {e}')
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sys.exit(1)
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try:
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import transformers
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print(f'✅ transformers: {transformers.__version__}')
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except ImportError as e:
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print(f'❌ transformers: {e}')
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sys.exit(1)
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try:
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import cv2
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print(f'✅ opencv: {cv2.__version__}')
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except ImportError as e:
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print(f'❌ opencv: {e}')
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sys.exit(1)
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try:
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import sentence_transformers
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print(f'✅ sentence-transformers: {sentence_transformers.__version__}')
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except ImportError as e:
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print(f'❌ sentence-transformers: {e}')
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sys.exit(1)
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print('\\n✅ All ML/OCR dependencies loaded successfully!')
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"
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- name: Run ML smoke tests
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run: |
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uv run pytest src/documents/tests/test_ml_smoke.py -v --tb=short
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# ============================================================================
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# JOB 2: Build y Push imagen Docker
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# ============================================================================
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build-and-push:
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name: Build IntelliDocs Docker Image
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runs-on: ubuntu-24.04
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needs: test-ml-dependencies
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permissions:
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contents: read
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packages: write
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id-token: write
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strategy:
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matrix:
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platform: [linux/amd64, linux/arm64]
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Set up QEMU for multi-arch builds
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uses: docker/setup-qemu-action@v3
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with:
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platforms: arm64
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- name: Log in to GitHub Container Registry
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if: github.event_name != 'pull_request'
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata (tags, labels)
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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: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
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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=sha,prefix={{branch}}-,format=short
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type=raw,value=latest,enable={{is_default_branch}}
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- name: Build and push Docker image
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id: build
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uses: docker/build-push-action@v6
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with:
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context: .
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file: ./Dockerfile
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platforms: ${{ matrix.platform }}
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push: ${{ github.event_name != 'pull_request' }}
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha,scope=${{ matrix.platform }}
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cache-to: type=gha,mode=max,scope=${{ matrix.platform }}
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build-args: |
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BUILD_DATE=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.created'] }}
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VERSION=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.version'] }}
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REVISION=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
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- name: Analyze image size
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if: github.event_name != 'pull_request'
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run: |
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echo "### Docker Image Built ✅" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "**Platform:** ${{ matrix.platform }}" >> $GITHUB_STEP_SUMMARY
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echo "**Tags:** ${{ steps.meta.outputs.tags }}" >> $GITHUB_STEP_SUMMARY
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echo "**Digest:** ${{ steps.build.outputs.digest }}" >> $GITHUB_STEP_SUMMARY
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# ============================================================================
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# JOB 3: Smoke tests en contenedor
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# ============================================================================
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test-docker-image:
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name: Test Docker Image
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runs-on: ubuntu-24.04
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needs: build-and-push
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if: github.event_name != 'pull_request'
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steps:
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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: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Determine image tag
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id: tag
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run: |
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if [[ "${{ github.ref }}" == "refs/heads/main" ]]; then
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echo "tag=latest" >> $GITHUB_OUTPUT
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else
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echo "tag=${{ github.ref_name }}" >> $GITHUB_OUTPUT
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fi
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- name: Pull Docker image
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run: |
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docker pull ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.tag }}
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- name: Test ML dependencies in container
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run: |
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docker run --rm \
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.tag }} \
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python -c "
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import sys
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try:
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import torch, transformers, cv2, sentence_transformers
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print('✅ All ML dependencies loaded successfully in container')
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except ImportError as e:
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print(f'❌ ML dependency error: {e}')
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sys.exit(1)
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"
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- name: Test Django migrations check
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run: |
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docker run --rm \
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.tag }} \
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python src/manage.py makemigrations --check --dry-run
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- name: Verify OpenCV system dependencies
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run: |
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docker run --rm \
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${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.tag }} \
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sh -c "dpkg -l | grep -E 'libglib2.0-0|libsm6|libxext6|libxrender1|libgomp1|libgl1'"
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- name: Generate test report
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if: always()
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run: |
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echo "## Docker Image Tests 🐳" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "✅ Image pulled successfully" >> $GITHUB_STEP_SUMMARY
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echo "✅ ML dependencies verified" >> $GITHUB_STEP_SUMMARY
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echo "✅ Django migrations validated" >> $GITHUB_STEP_SUMMARY
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echo "✅ System dependencies verified" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "**Image:** \`${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.tag }}\`" >> $GITHUB_STEP_SUMMARY
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# ============================================================================
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# JOB 4: Crear GitHub Release (solo para tags)
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# ============================================================================
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create-release:
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name: Create GitHub Release
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runs-on: ubuntu-24.04
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needs: [build-and-push, test-docker-image]
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if: startsWith(github.ref, 'refs/tags/v')
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permissions:
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contents: write
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Create Release
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uses: softprops/action-gh-release@v2
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with:
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generate_release_notes: true
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body: |
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## IntelliDocs Release ${{ github.ref_name }}
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### Docker Images
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- **AMD64:** `${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.ref_name }}`
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- **ARM64:** `${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.ref_name }}`
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### Installation
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```bash
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docker pull ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.ref_name }}
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```
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See [DOCKER_SETUP_INTELLIDOCS.md](DOCKER_SETUP_INTELLIDOCS.md) for full setup instructions.
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