50211d1853
- Create 09-01-SUMMARY.md with execution results - Update STATE.md with phase 9 position and decisions - Update ROADMAP.md with phase 9 progress - Mark STOR-03 and STOR-04 requirements complete Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
99 lines
3.2 KiB
Markdown
99 lines
3.2 KiB
Markdown
---
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phase: 09-retention-cleanup
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plan: 01
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subsystem: database
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tags: [apscheduler, retention, postgresql, prometheus, cascade-delete]
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# Dependency graph
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requires:
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- phase: 01-database-schema
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provides: router_config_snapshots table with CASCADE FK constraints
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provides:
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- Automatic retention cleanup of expired config snapshots
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- CONFIG_RETENTION_DAYS env var for configurable retention period
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- Prometheus metrics for cleanup observability
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affects: []
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# Tech tracking
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tech-stack:
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added: []
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patterns: [APScheduler IntervalTrigger for periodic maintenance jobs]
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key-files:
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created:
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- backend/app/services/retention_service.py
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- backend/tests/test_retention_service.py
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modified:
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- backend/app/config.py
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- backend/app/main.py
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key-decisions:
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- "make_interval(days => :days) for parameterized PostgreSQL interval (no string concatenation)"
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- "24h IntervalTrigger with 1h jitter to stagger cleanup across instances"
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- "AdminAsyncSessionLocal (bypasses RLS) since retention is cross-tenant system operation"
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patterns-established:
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- "IntervalTrigger pattern for periodic maintenance jobs (vs CronTrigger for scheduled backups)"
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requirements-completed: [STOR-03, STOR-04]
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# Metrics
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duration: 2min
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completed: 2026-03-13
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---
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# Phase 9 Plan 1: Retention Cleanup Summary
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**Daily APScheduler job deletes config snapshots older than CONFIG_RETENTION_DAYS (default 90) with CASCADE FK cleanup of diffs and changes**
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## Performance
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- **Duration:** 2 min
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- **Started:** 2026-03-13T04:31:48Z
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- **Completed:** 2026-03-13T04:34:12Z
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- **Tasks:** 2
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- **Files modified:** 4
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## Accomplishments
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- Retention service with parameterized SQL DELETE using make_interval for safe interval binding
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- APScheduler IntervalTrigger running every 24h with 1h jitter for stagger
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- Prometheus counter and histogram for cleanup observability
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- Wired into main.py lifespan with non-fatal startup pattern
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## Task Commits
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Each task was committed atomically:
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1. **Task 1 (RED): Add failing tests** - `00bdde9` (test)
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2. **Task 1 (GREEN): Implement retention service + config setting** - `a9f7a45` (feat)
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3. **Task 2: Wire retention scheduler into lifespan** - `4d62bc9` (feat)
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## Files Created/Modified
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- `backend/app/services/retention_service.py` - Retention cleanup logic, scheduler, Prometheus metrics
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- `backend/tests/test_retention_service.py` - 4 unit tests for cleanup function
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- `backend/app/config.py` - Added CONFIG_RETENTION_DAYS setting (default 90)
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- `backend/app/main.py` - Wired start/stop retention scheduler into lifespan
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## Decisions Made
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- Used make_interval(days => :days) for parameterized PostgreSQL interval (avoids string concatenation SQL injection risk)
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- 24h IntervalTrigger with 1h jitter to stagger cleanup across instances
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- AdminAsyncSessionLocal bypasses RLS since retention is a cross-tenant system operation
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## Deviations from Plan
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None - plan executed exactly as written.
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## Issues Encountered
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None
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## User Setup Required
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None - no external service configuration required. CONFIG_RETENTION_DAYS defaults to 90 if not set.
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## Next Phase Readiness
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- Retention cleanup is fully operational, ready for phase 10
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- No blockers
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---
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*Phase: 09-retention-cleanup*
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*Completed: 2026-03-13*
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