<!-- Provide a brief summary of your changes --> ## Motivation and Context <!-- Why is this change needed? What problem does it solve? --> We have some more work to do on that so let's temporarily comment out the scheduled cron job for syncing the database. ## How Has This Been Tested? <!-- Have you tested this in a real application? Which scenarios were tested? --> ## Breaking Changes <!-- Will users need to update their code or configurations? --> ## Types of changes <!-- What types of changes does your code introduce? Put an `x` in all the boxes that apply: --> - [ ] Bug fix (non-breaking change which fixes an issue) - [ ] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update ## Checklist <!-- Go over all the following points, and put an `x` in all the boxes that apply. --> - [ ] I have read the [MCP Documentation](https://modelcontextprotocol.io) - [ ] My code follows the repository's style guidelines - [ ] New and existing tests pass locally - [ ] I have added appropriate error handling - [ ] I have added or updated documentation as needed ## Additional context <!-- Add any other context, implementation notes, or design decisions -->
435 lines
17 KiB
YAML
435 lines
17 KiB
YAML
name: Sync Production DB to Staging (from backups)
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on:
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# schedule:
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# # Run daily at 2 AM UTC (during low-traffic hours)
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# - cron: '0 2 * * *'
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workflow_dispatch: # Allow manual triggering
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permissions:
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contents: read
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jobs:
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sync-database:
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name: Sync Prod DB to Staging from k8up Backups
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runs-on: ubuntu-latest
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environment: staging
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concurrency:
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group: sync-staging-database
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cancel-in-progress: false
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steps:
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- name: Authenticate to Google Cloud (Production)
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uses: google-github-actions/auth@7c6bc770dae815cd3e89ee6cdf493a5fab2cc093
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with:
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credentials_json: ${{ secrets.GCP_PROD_SERVICE_ACCOUNT_KEY }}
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- name: Setup Google Cloud SDK
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uses: google-github-actions/setup-gcloud@aa5489c8933f4cc7a4f7d45035b3b1440c9c10db
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with:
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project_id: mcp-registry-prod
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install_components: gke-gcloud-auth-plugin
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- name: Get backup credentials from prod cluster
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id: backup-creds
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run: |
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gcloud container clusters get-credentials mcp-registry-prod \
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--zone=us-central1-b \
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--project=mcp-registry-prod
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# Store in outputs (GitHub Actions encrypts these automatically)
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kubectl get secret k8up-backup-credentials -n default -o json | jq -r '
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"access_key=" + (.data.AWS_ACCESS_KEY_ID | @base64d),
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"secret_key=" + (.data.AWS_SECRET_ACCESS_KEY | @base64d)
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' >> $GITHUB_OUTPUT
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- name: Remove all production access (SAFETY MEASURE)
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run: |
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# Remove production cluster from kubeconfig
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kubectl config delete-context gke_mcp-registry-prod_us-central1-b_mcp-registry-prod 2>/dev/null || true
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# Revoke gcloud credentials
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gcloud auth revoke --all 2>/dev/null || true
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# Clear gcloud configuration
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gcloud config unset project 2>/dev/null || true
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gcloud config unset account 2>/dev/null || true
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# Verify no contexts remain
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CONTEXT_COUNT=$(kubectl config get-contexts -o name 2>/dev/null | wc -l)
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if [ "$CONTEXT_COUNT" -gt 0 ]; then
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echo "❌ ERROR: $CONTEXT_COUNT context(s) still exist after cleanup!"
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kubectl config get-contexts
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exit 1
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fi
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- name: Switch to staging cluster
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uses: google-github-actions/auth@7c6bc770dae815cd3e89ee6cdf493a5fab2cc093
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with:
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credentials_json: ${{ secrets.GCP_STAGING_SERVICE_ACCOUNT_KEY }}
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- name: Configure staging cluster access
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run: |
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gcloud config set project mcp-registry-staging
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gcloud container clusters get-credentials mcp-registry-staging \
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--zone=us-central1-b \
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--project=mcp-registry-staging
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- name: Create secret for prod backup bucket access
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run: |
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# Create/update secret in staging with access to prod backups
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kubectl create secret generic prod-to-staging-sync-credentials \
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--from-literal=AWS_ACCESS_KEY_ID="${{ steps.backup-creds.outputs.access_key }}" \
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--from-literal=AWS_SECRET_ACCESS_KEY="${{ steps.backup-creds.outputs.secret_key }}" \
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--dry-run=client -o yaml | kubectl apply -f -
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- name: Create restore PVC
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run: |
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kubectl apply -f - <<EOF
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: restore-data-pvc
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namespace: default
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 50Gi
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EOF
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- name: Trigger k8up restore from prod backups
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id: restore
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run: |
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RESTORE_NAME="restore-from-prod-$(date +%Y%m%d-%H%M%S)"
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echo "restore_name=$RESTORE_NAME" >> $GITHUB_OUTPUT
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# Create a k8up Restore resource to restore from prod backups
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kubectl apply -f - <<EOF
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apiVersion: k8up.io/v1
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kind: Restore
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metadata:
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name: $RESTORE_NAME
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namespace: default
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spec:
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snapshot: latest
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restoreMethod:
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folder:
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claimName: restore-data-pvc
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backend:
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repoPasswordSecretRef:
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name: k8up-repo-password
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key: password
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s3:
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bucket: mcp-registry-prod-backups
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endpoint: https://storage.googleapis.com
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accessKeyIDSecretRef:
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name: prod-to-staging-sync-credentials
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key: AWS_ACCESS_KEY_ID
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secretAccessKeySecretRef:
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name: prod-to-staging-sync-credentials
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key: AWS_SECRET_ACCESS_KEY
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EOF
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- name: Wait for k8up restore to complete
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run: |
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RESTORE_NAME="${{ steps.restore.outputs.restore_name }}"
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echo "Waiting for restore job to start..."
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sleep 15
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# Find the job created by k8up for this restore
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# k8up creates jobs with name pattern "restore-<restore-name>"
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# Since our restore is named "restore-from-prod-*", the job will be "restore-restore-from-prod-*"
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for i in {1..60}; do
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JOB_NAME=$(kubectl get jobs -n default --no-headers 2>/dev/null | grep "^restore-$RESTORE_NAME" | awk '{print $1}' | head -1)
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if [ -n "$JOB_NAME" ]; then
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echo "Found restore job: $JOB_NAME"
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break
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fi
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echo "Waiting for job to be created... ($i/60)"
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sleep 2
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done
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if [ -z "$JOB_NAME" ]; then
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echo "ERROR: Restore job not found after 120 seconds"
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echo "Checking restore resource status:"
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kubectl get restore $RESTORE_NAME -n default
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kubectl describe restore $RESTORE_NAME -n default
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echo "Checking for any restore jobs:"
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kubectl get jobs -n default | grep restore || echo "No restore jobs found"
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echo "Checking k8up operator logs:"
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kubectl logs deployment/k8up -n default --tail=50 | grep -i restore || echo "No restore logs found"
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exit 1
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fi
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# Wait for the restore job to complete (max 15 minutes)
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echo "Waiting for restore job to complete..."
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kubectl wait --for=condition=complete \
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job/$JOB_NAME \
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--timeout=900s -n default || {
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echo "Restore job failed or timed out"
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echo "Job status:"
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kubectl get job/$JOB_NAME -n default
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echo "Job details:"
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kubectl describe job/$JOB_NAME -n default
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echo "Job logs (if available):"
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kubectl logs job/$JOB_NAME -n default --tail=100 || echo "No logs available"
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# Check if it's a credential issue
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echo "Checking if credentials exist:"
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kubectl get secret prod-to-staging-sync-credentials -n default || echo "Credentials secret missing!"
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exit 1
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}
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- name: Find staging PostgreSQL PVC
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id: pgdata-pvc
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run: |
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# Find the PVC used by the PostgreSQL cluster
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PVC_NAME=$(kubectl get pvc -n default -l cnpg.io/cluster=registry-pg -o jsonpath='{.items[0].metadata.name}')
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if [ -z "$PVC_NAME" ]; then
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echo "ERROR: Could not find PostgreSQL PVC"
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kubectl get pvc -n default -l cnpg.io/cluster=registry-pg
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exit 1
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fi
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echo "pvc_name=$PVC_NAME" >> $GITHUB_OUTPUT
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- name: Scale down staging PostgreSQL
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run: |
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echo "Scaling down PostgreSQL cluster..."
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kubectl patch cluster registry-pg -n default \
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--type merge \
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--patch '{"spec":{"instances":0}}'
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# Wait for pods to terminate
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echo "Waiting for pods to terminate..."
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kubectl wait --for=delete pod -l cnpg.io/cluster=registry-pg -n default --timeout=300s || true
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- name: Verify we are in staging cluster (SAFETY CHECK)
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run: |
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# Get current cluster context
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CURRENT_CONTEXT=$(kubectl config current-context)
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CURRENT_PROJECT=$(gcloud config get-value project)
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echo "Current kubectl context: $CURRENT_CONTEXT"
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echo "Current GCP project: $CURRENT_PROJECT"
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# Verify we're in staging
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if ! echo "$CURRENT_CONTEXT" | grep -qi "staging"; then
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echo "❌ SAFETY CHECK FAILED: Not in staging cluster"
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echo "Context: $CURRENT_CONTEXT"
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echo "Expected: staging cluster"
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exit 1
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fi
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if [ "$CURRENT_PROJECT" != "mcp-registry-staging" ]; then
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echo "❌ SAFETY CHECK FAILED: Not in staging project"
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echo "Project: $CURRENT_PROJECT"
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echo "Expected: mcp-registry-staging"
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exit 1
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fi
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- name: Replace staging database with restored backup
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id: copy-job
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run: |
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JOB_NAME="copy-pgdata-$(date +%Y%m%d-%H%M%S)"
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echo "job_name=$JOB_NAME" >> $GITHUB_OUTPUT
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# Create a job to copy the restored backup data to the staging PVC
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kubectl apply -f - <<EOF
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apiVersion: batch/v1
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kind: Job
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metadata:
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name: $JOB_NAME
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namespace: default
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spec:
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ttlSecondsAfterFinished: 600
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template:
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spec:
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restartPolicy: Never
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containers:
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- name: copy-data
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image: busybox:latest
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command:
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- /bin/sh
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- -c
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- |
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set -e
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echo "Finding PostgreSQL data in backup..."
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echo "Restore structure:"
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find /restore -maxdepth 3 -type d 2>/dev/null | head -20
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# Try different possible paths for pgdata
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PGDATA_SOURCE=""
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for path in \$(find /restore -type d -name "pgdata" 2>/dev/null); do
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if [ -f "\$path/PG_VERSION" ]; then
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PGDATA_SOURCE="\$path"
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break
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fi
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done
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if [ -z "\$PGDATA_SOURCE" ]; then
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echo "ERROR: Could not find valid pgdata directory with PG_VERSION"
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echo "Searched paths:"
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find /restore -type d -name "pgdata" 2>/dev/null
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exit 1
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fi
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echo "Found pgdata at: \$PGDATA_SOURCE"
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echo "Contents:"
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ls -lah \$PGDATA_SOURCE/ | head -10
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echo "Backing up existing staging data..."
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mkdir -p /pgdata-backup
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if [ "\$(ls -A /pgdata)" ]; then
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cp -a /pgdata/. /pgdata-backup/ || echo "Warning: Could not backup existing data"
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fi
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echo "Clearing existing data..."
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rm -rf /pgdata/*
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echo "Copying backup data to staging PVC..."
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cp -a \$PGDATA_SOURCE/. /pgdata/
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echo "Setting correct permissions..."
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chmod 700 /pgdata
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ls -lah /pgdata/ | head -20
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echo "PostgreSQL version: \$(cat /pgdata/PG_VERSION)"
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volumeMounts:
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- name: restore-data
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mountPath: /restore
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- name: staging-pgdata
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mountPath: /pgdata
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volumes:
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- name: restore-data
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persistentVolumeClaim:
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claimName: restore-data-pvc
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- name: staging-pgdata
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persistentVolumeClaim:
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claimName: ${{ steps.pgdata-pvc.outputs.pvc_name }}
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EOF
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- name: Wait for data copy to complete
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run: |
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JOB_NAME="${{ steps.copy-job.outputs.job_name }}"
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# Wait for copy to complete
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kubectl wait --for=condition=complete job/$JOB_NAME --timeout=600s -n default || {
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echo "Data copy job failed"
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kubectl describe job/$JOB_NAME -n default
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kubectl logs job/$JOB_NAME -n default --tail=100
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exit 1
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}
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- name: Scale up staging PostgreSQL
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run: |
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echo "Scaling up PostgreSQL cluster..."
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kubectl patch cluster registry-pg -n default \
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--type merge \
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--patch '{"spec":{"instances":1}}'
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# Wait for PostgreSQL pod to be created
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echo "Waiting for PostgreSQL pod to be created..."
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for i in {1..60}; do
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POD_COUNT=$(kubectl get pods -l cnpg.io/cluster=registry-pg -n default --no-headers 2>/dev/null | wc -l)
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if [ "$POD_COUNT" -gt 0 ]; then
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echo "Pod created"
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break
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fi
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echo "Waiting... ($i/60)"
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sleep 2
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done
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# Wait for PostgreSQL to be ready
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echo "Waiting for PostgreSQL to be ready..."
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kubectl wait --for=condition=ready pod -l cnpg.io/cluster=registry-pg -n default --timeout=300s
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- name: Verify staging DB is functional
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run: |
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# Create a verification pod
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kubectl run pg-verify-$(date +%s) \
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--image=postgres:15 \
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--rm -i --restart=Never \
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--env="PGPASSWORD=$(kubectl get secret registry-pg-superuser -n default -o jsonpath='{.data.password}' | base64 -d)" \
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-- bash -c '
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echo "Waiting for database to accept connections..."
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for i in {1..30}; do
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if pg_isready -h registry-pg-rw -U postgres 2>/dev/null; then
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break
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fi
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echo "Waiting... ($i/30)"
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sleep 2
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done
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echo "Querying database..."
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TABLE_COUNT=$(psql -h registry-pg-rw -U postgres -d app -tAc "SELECT COUNT(*) FROM information_schema.tables WHERE table_schema = '\''public'\'';" 2>&1)
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if [ $? -ne 0 ]; then
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echo "ERROR: Could not query database"
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echo "$TABLE_COUNT"
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exit 1
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fi
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if [ "$TABLE_COUNT" -lt 1 ]; then
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echo "ERROR: Staging DB has no tables!"
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exit 1
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fi
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echo "Staging DB has $TABLE_COUNT tables"
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echo "Top 10 tables by row count:"
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psql -h registry-pg-rw -U postgres -d app \
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-c "SELECT schemaname, tablename, n_live_tup FROM pg_stat_user_tables ORDER BY n_live_tup DESC LIMIT 10;" || true
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'
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- name: Cleanup
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if: always()
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run: |
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# Wait for any restore jobs to finish before cleanup (max 5 minutes for large database restores)
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echo "Checking for running restore jobs..."
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RESTORE_NAME="${{ steps.restore.outputs.restore_name }}"
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for i in {1..60}; do
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# Check specifically for our restore job in Running or Pending state
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RUNNING_JOBS=$(kubectl get jobs -n default --no-headers 2>/dev/null | grep "^restore-${RESTORE_NAME}" | grep -E "Running|Pending" | wc -l)
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if [ "$RUNNING_JOBS" -eq 0 ]; then
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echo "No running restore jobs found"
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break
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fi
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echo "Waiting for $RUNNING_JOBS restore job(s) to finish... ($i/60)"
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sleep 5
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done
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# Clean up jobs first
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if [ -n "${{ steps.copy-job.outputs.job_name }}" ]; then
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kubectl delete job ${{ steps.copy-job.outputs.job_name }} -n default || true
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fi
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# Clean up the restore job if it exists (with proper error handling)
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if [ -n "$RESTORE_NAME" ]; then
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if kubectl get job "restore-$RESTORE_NAME" -n default >/dev/null 2>&1; then
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echo "Deleting restore job: restore-$RESTORE_NAME"
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kubectl delete job "restore-$RESTORE_NAME" -n default || echo "Failed to delete job, may have already been cleaned up"
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else
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echo "Restore job restore-$RESTORE_NAME not found, skipping deletion"
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fi
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fi
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# Remove restore PVC (will wait for jobs to finish)
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kubectl delete pvc restore-data-pvc -n default || true
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# Remove prod backup credentials (for security)
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kubectl delete secret prod-to-staging-sync-credentials -n default || true
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# Clean up old restore resources (keep last 3)
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kubectl get restore -n default --sort-by=.metadata.creationTimestamp -o name | head -n -3 | xargs -r kubectl delete || true
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# Clean up old restore jobs (keep last 3)
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kubectl get jobs -n default --sort-by=.metadata.creationTimestamp -o name | grep '^job.batch/restore-' | head -n -3 | xargs -r kubectl delete -n default || true
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# Clean up old copy jobs (keep last 3)
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kubectl get jobs -n default --sort-by=.metadata.creationTimestamp -o name | grep 'copy-pgdata-' | head -n -3 | xargs -r kubectl delete -n default || true
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