Claude Fable 5
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New scheduled workflow (monthly + on demand) runs deploy/backup/drill.sh: it reads the drilled stage's backups volume strictly read-only, restores the latest successful set into a throwaway Postgres and volumes under a unique drill prefix via the backup image's restore path, boots the api against the result, and verifies readyz (database + migrations), row counts, rendered content in the page cache, a public API request, and a media byte-check against the attachments table — then tears everything down, also on failure. Each run reports its outcome as a comment on the pinned "Restore drills" issue (#98). docs/operations/restore-runbook.md carries the manual procedure, which doubles as the Prod relocation path; pre-go-live the drill restores the Test set (switch the source volume at go-live, #89 — off-host fetch from the BASEL mirror stays with #84). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EwZ4jR4KFAPvpjWevfUGX1
60 lines
2.4 KiB
YAML
60 lines
2.4 KiB
YAML
# Monthly restore drill (ADR 0015, issue #87): restores the latest backup
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# set of the drilled stage into a scratch environment on the runner's Docker
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# daemon (the stage host), verifies it, and logs the outcome as a comment on
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# the pinned "Restore drills" issue. Pre-go-live the drilled stage is Test;
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# switch DRILL_SOURCE_VOLUME to the Prod backups volume at go-live (#89).
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name: Restore drill
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on:
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schedule:
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# 04:17 UTC on the 1st — after the 03:00 stage-local nightly backups.
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- cron: '17 4 1 * *'
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workflow_dispatch:
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env:
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IMAGE_BASE: gitea.101010.cloud/stwaidele/dorfteich
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DRILL_SOURCE_VOLUME: dorfteich-test_backups
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DRILL_LOG_ISSUE: '98'
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jobs:
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drill:
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name: Restore the latest backup into a scratch stack
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runs-on: ubuntu-latest
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timeout-minutes: 20
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Log in to the Gitea registry
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run: printf '%s' "${{ secrets.REGISTRY_TOKEN }}" | tr -d '[:space:]' | docker login gitea.101010.cloud -u fable-5 --password-stdin
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- name: Run the drill
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id: drill
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run: |
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set -o pipefail
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SOURCE_VOLUME=$DRILL_SOURCE_VOLUME IMAGE_BASE=$IMAGE_BASE TAG=test \
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sh deploy/backup/drill.sh 2>&1 | tee drill.log
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- name: Report the outcome on the drill log issue
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if: always()
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run: |
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OUTCOME="${{ steps.drill.outcome }}"
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{
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printf '**Restore drill %s** — source `%s`, run %s\n\n```\n' \
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"$OUTCOME" "$DRILL_SOURCE_VOLUME" "${{ github.run_number }}"
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tail -c 3000 drill.log 2>/dev/null || echo 'drill produced no log output'
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printf '```\n'
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} > comment.md
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# JSON-encode via a node container — the runner image guarantees
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# only git/curl/docker, not python or node.
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docker run --rm -i node:22.15-alpine node -e \
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'const fs=require("fs");process.stdout.write(JSON.stringify({body:fs.readFileSync(0,"utf8")}))' \
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< comment.md > comment.json
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curl -sf -X POST \
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-H "Authorization: token ${{ github.token }}" \
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-H 'Content-Type: application/json' \
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--data @comment.json \
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"${{ github.server_url }}/api/v1/repos/${{ github.repository }}/issues/$DRILL_LOG_ISSUE/comments" \
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> /dev/null && echo "reported to issue #$DRILL_LOG_ISSUE"
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