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BREAKING CHANGE: Monolithic ci.yml split into focused pipeline files ## Pipeline Reorganization Split single CI/CD pipeline into 7 specialized workflows: 1. **lint.yml** - Code quality checks (Black, Ruff, MyPy) 2. **test.yml** - Test suite with coverage reporting 3. **security.yml** - Security scanning (Bandit) 4. **build.yml** - Docker image builds and registry push 5. **deploy-staging.yml** - Staging environment deployment 6. **deploy-production.yml** - Production deployment (tags only) 7. **docs-generation.yml** - Scheduled documentation generation ## Benefits - **Modularity**: Each pipeline has single responsibility - **Performance**: Workflows run independently, faster feedback - **Clarity**: Easier to understand and maintain - **Flexibility**: Trigger pipelines independently - **Debugging**: Isolated failures easier to diagnose ## Dockerfile Improvements - Fix FROM AS casing (was 'as', now 'AS') in all Dockerfiles - Resolves Docker build warnings - Improves consistency across build files ## Documentation - Added .gitea/workflows/README.md with: - Workflow descriptions and triggers - Dependency diagram - Environment variables reference - Troubleshooting guide - Best practices ## Migration Notes - Old monolithic pipeline backed up as ci.yml.old - All triggers preserved from original pipeline - No changes to build or deploy logic - Same environment variables and secrets required 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
51 lines
1.6 KiB
YAML
51 lines
1.6 KiB
YAML
# Deploy to Production Environment
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name: Deploy Production
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on:
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push:
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tags:
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- 'v*'
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env:
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REGISTRY: ${{ vars.PACKAGES_REGISTRY }}
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IMAGE_NAME: ${{ gitea.repository }}
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jobs:
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deploy-production:
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name: Deploy to Production
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runs-on: ubuntu-latest
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environment:
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name: production
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url: https://docs.company.local
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up kubectl
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uses: azure/setup-kubectl@v3
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with:
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version: 'latest'
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- name: Configure kubectl
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run: |
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echo "${{ secrets.KUBE_CONFIG_PRODUCTION }}" > kubeconfig
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export KUBECONFIG=kubeconfig
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- name: Deploy to Kubernetes
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run: |
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export KUBECONFIG=kubeconfig
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kubectl set image deployment/api api=${{ vars.PACKAGES_REGISTRY }}/${{ env.IMAGE_NAME }}/api:${{ github.ref_name }} -n datacenter-docs
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kubectl set image deployment/chat chat=${{ vars.PACKAGES_REGISTRY }}/${{ env.IMAGE_NAME }}/chat:${{ github.ref_name }} -n datacenter-docs
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kubectl set image deployment/worker worker=${{ vars.PACKAGES_REGISTRY }}/${{ env.IMAGE_NAME }}/worker:${{ github.ref_name }} -n datacenter-docs
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kubectl rollout status deployment/api -n datacenter-docs --timeout=5m
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kubectl rollout status deployment/chat -n datacenter-docs --timeout=5m
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kubectl rollout status deployment/worker -n datacenter-docs --timeout=5m
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- name: Smoke test
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run: |
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sleep 30
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curl -f https://docs.company.local/health || exit 1
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continue-on-error: true
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