Files
the-other-dude/.planning/phases/09-retention-cleanup/09-01-SUMMARY.md
Jason Staack 50211d1853 docs(09-01): complete retention cleanup plan
- 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>
2026-03-12 23:35:37 -05:00

3.2 KiB

phase, plan, subsystem, tags, requires, provides, affects, tech-stack, key-files, key-decisions, patterns-established, requirements-completed, duration, completed
phase plan subsystem tags requires provides affects tech-stack key-files key-decisions patterns-established requirements-completed duration completed
09-retention-cleanup 01 database
apscheduler
retention
postgresql
prometheus
cascade-delete
phase provides
01-database-schema router_config_snapshots table with CASCADE FK constraints
Automatic retention cleanup of expired config snapshots
CONFIG_RETENTION_DAYS env var for configurable retention period
Prometheus metrics for cleanup observability
added patterns
APScheduler IntervalTrigger for periodic maintenance jobs
created modified
backend/app/services/retention_service.py
backend/tests/test_retention_service.py
backend/app/config.py
backend/app/main.py
make_interval(days => :days) for parameterized PostgreSQL interval (no string concatenation)
24h IntervalTrigger with 1h jitter to stagger cleanup across instances
AdminAsyncSessionLocal (bypasses RLS) since retention is cross-tenant system operation
IntervalTrigger pattern for periodic maintenance jobs (vs CronTrigger for scheduled backups)
STOR-03
STOR-04
2min 2026-03-13

Phase 9 Plan 1: Retention Cleanup Summary

Daily APScheduler job deletes config snapshots older than CONFIG_RETENTION_DAYS (default 90) with CASCADE FK cleanup of diffs and changes

Performance

  • Duration: 2 min
  • Started: 2026-03-13T04:31:48Z
  • Completed: 2026-03-13T04:34:12Z
  • Tasks: 2
  • Files modified: 4

Accomplishments

  • Retention service with parameterized SQL DELETE using make_interval for safe interval binding
  • APScheduler IntervalTrigger running every 24h with 1h jitter for stagger
  • Prometheus counter and histogram for cleanup observability
  • Wired into main.py lifespan with non-fatal startup pattern

Task Commits

Each task was committed atomically:

  1. Task 1 (RED): Add failing tests - 00bdde9 (test)
  2. Task 1 (GREEN): Implement retention service + config setting - a9f7a45 (feat)
  3. Task 2: Wire retention scheduler into lifespan - 4d62bc9 (feat)

Files Created/Modified

  • backend/app/services/retention_service.py - Retention cleanup logic, scheduler, Prometheus metrics
  • backend/tests/test_retention_service.py - 4 unit tests for cleanup function
  • backend/app/config.py - Added CONFIG_RETENTION_DAYS setting (default 90)
  • backend/app/main.py - Wired start/stop retention scheduler into lifespan

Decisions Made

  • Used make_interval(days => :days) for parameterized PostgreSQL interval (avoids string concatenation SQL injection risk)
  • 24h IntervalTrigger with 1h jitter to stagger cleanup across instances
  • AdminAsyncSessionLocal bypasses RLS since retention is a cross-tenant system operation

Deviations from Plan

None - plan executed exactly as written.

Issues Encountered

None

User Setup Required

None - no external service configuration required. CONFIG_RETENTION_DAYS defaults to 90 if not set.

Next Phase Readiness

  • Retention cleanup is fully operational, ready for phase 10
  • No blockers

Phase: 09-retention-cleanup Completed: 2026-03-13