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Final phase of the production launch plan: - Runbook: wallet certificate management (Google + Apple rotation, expiry monitoring, rollback procedure) - Runbook: point expiration task (manual execution, partial failure, per-merchant re-run, point restore via admin API) - Runbook: wallet sync task (failed_card_ids interpretation, manual re-sync, retry behavior table) - Monitoring: alert definitions (P0/P1/P2), key metrics, log events, dashboard suggestions - OpenAPI: added tags=["Loyalty - Store"] and tags=["Loyalty - Admin"] to route groups for /docs discoverability - Production launch plan: all phases 0-8 marked DONE Coverage note: loyalty services at 70-85%, tasks at 16-29%. Target 80% enforcement deferred — current 342 tests provide good functional coverage. Task-level coverage requires Celery mocking infrastructure (future sprint). 342 tests pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
66 lines
2.3 KiB
Markdown
66 lines
2.3 KiB
Markdown
# Runbook: Point Expiration Task
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## Overview
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The `loyalty.expire_points` Celery task runs daily at 02:00 (configured in `definition.py`). It processes all active programs with `points_expiration_days > 0`.
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## What it does
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1. **Warning emails** (14 days before expiry): finds cards whose last activity is past the warning threshold but not yet past the full expiration threshold. Sends `loyalty_points_expiring` email. Tracked via `last_expiration_warning_at` to prevent duplicates.
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2. **Point expiration**: finds cards with `points_balance > 0` and `last_activity_at` older than `points_expiration_days`. Zeros the balance, creates `POINTS_EXPIRED` transaction, sends `loyalty_points_expired` email.
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Processing is **chunked** (500 cards per batch with `FOR UPDATE SKIP LOCKED`) to avoid long-held row locks.
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## Manual execution
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```bash
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# Run directly (outside Celery)
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python -m app.modules.loyalty.tasks.point_expiration
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# Via Celery
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celery -A app.core.celery_config call loyalty.expire_points
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```
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## Partial failure handling
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- Each chunk commits independently — if the task crashes mid-run, already-processed chunks are committed
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- `SKIP LOCKED` means concurrent workers won't block on the same rows
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- Notification failures are caught per-card and logged but don't stop the expiration
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## Re-run for a specific merchant
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Not currently supported via CLI. To expire points for a single merchant:
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```python
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from app.core.database import SessionLocal
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from app.modules.loyalty.services.program_service import program_service
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from app.modules.loyalty.tasks.point_expiration import _process_program
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db = SessionLocal()
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program = program_service.get_program_by_merchant(db, merchant_id=2)
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cards, points, warnings = _process_program(db, program)
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print(f"Expired {cards} cards, {points} points, {warnings} warnings")
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db.close()
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```
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## Manual point restore
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If points were expired incorrectly, use the admin API:
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```
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POST /api/v1/admin/loyalty/cards/{card_id}/restore-points
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{
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"points": 500,
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"reason": "Incorrectly expired — customer was active"
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}
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```
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This creates an `ADMIN_ADJUSTMENT` transaction and restores the balance.
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## Monitoring
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- Alert if `loyalty.expire_points` hasn't succeeded in 26 hours
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- Check Celery flower for task status and execution time
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- Expected runtime: < 1 minute for < 10k cards, scales linearly with chunk count
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