perf(loyalty): Phase 3 — batched expiration + wallet sync backoff
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Phase 3 of the production launch plan: task reliability improvements to prevent DB lock issues at scale and handle transient wallet API failures gracefully. - 3.1 Batched point expiration: rewrite per-card Python loop to chunked processing (LIMIT 500 FOR UPDATE SKIP LOCKED). Each chunk commits independently, releasing row locks before processing the next batch. Notifications sent after commit (outside lock window). Warning emails also chunked with same pattern. - 3.2 Wallet sync exponential backoff: replace time.sleep(2) single retry with 4 attempts using [1s, 4s, 16s] backoff delays. Per-card try/except ensures one failing card doesn't block the batch. Failed card IDs logged for observability. 342 tests pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -6,12 +6,16 @@ Handles expiring points that are older than the configured
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expiration period based on card inactivity.
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Runs daily at 02:00 via the scheduled task configuration in definition.py.
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Processing is chunked (LIMIT 500 + FOR UPDATE SKIP LOCKED) to avoid
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holding long-running row locks on the loyalty_cards table.
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"""
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import logging
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from datetime import UTC, datetime, timedelta
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from celery import shared_task
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from sqlalchemy import or_
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from sqlalchemy.orm import Session
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from app.core.database import SessionLocal
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@@ -20,6 +24,8 @@ from app.modules.loyalty.models.loyalty_transaction import TransactionType
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logger = logging.getLogger(__name__)
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CHUNK_SIZE = 500
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@shared_task(name="loyalty.expire_points")
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def expire_points() -> dict:
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@@ -27,10 +33,9 @@ def expire_points() -> dict:
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Expire points that are past their expiration date based on card inactivity.
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For each program with points_expiration_days configured:
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1. Find cards that haven't had activity in the expiration period
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2. Expire all points on those cards
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3. Create POINTS_EXPIRED transaction records
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4. Update card balances
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1. Send 14-day warning emails to cards approaching expiry
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2. Expire points in chunks of 500, committing after each chunk
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3. Send expired notifications
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Returns:
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Summary of expired points
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@@ -40,10 +45,10 @@ def expire_points() -> dict:
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db: Session = SessionLocal()
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try:
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result = _process_point_expiration(db)
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db.commit()
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logger.info(
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f"Point expiration complete: {result['cards_processed']} cards, "
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f"{result['points_expired']} points expired"
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f"{result['points_expired']} points expired, "
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f"{result['warnings_sent']} warnings sent"
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)
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return result
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except Exception as e:
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@@ -54,30 +59,23 @@ def expire_points() -> dict:
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"error": str(e),
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"cards_processed": 0,
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"points_expired": 0,
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"warnings_sent": 0,
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}
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finally:
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db.close()
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def _process_point_expiration(db: Session) -> dict:
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"""
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Process point expiration for all programs.
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Args:
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db: Database session
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Returns:
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Summary of expired points
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"""
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total_cards_processed = 0
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total_points_expired = 0
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"""Process point expiration for all programs."""
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total_cards = 0
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total_points = 0
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total_warnings = 0
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programs_processed = 0
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# Find all active programs with point expiration configured
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programs = (
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db.query(LoyaltyProgram)
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.filter(
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LoyaltyProgram.is_active == True,
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LoyaltyProgram.is_active == True, # noqa: E712
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LoyaltyProgram.points_expiration_days.isnot(None),
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LoyaltyProgram.points_expiration_days > 0,
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)
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@@ -87,164 +85,194 @@ def _process_point_expiration(db: Session) -> dict:
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logger.info(f"Found {len(programs)} programs with point expiration configured")
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for program in programs:
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cards_count, points_count = _expire_points_for_program(db, program)
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total_cards_processed += cards_count
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total_points_expired += points_count
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cards, points, warnings = _process_program(db, program)
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total_cards += cards
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total_points += points
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total_warnings += warnings
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programs_processed += 1
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logger.debug(
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f"Program {program.id} (merchant {program.merchant_id}): "
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f"{cards_count} cards, {points_count} points expired"
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)
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return {
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"status": "success",
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"programs_processed": programs_processed,
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"cards_processed": total_cards_processed,
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"points_expired": total_points_expired,
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"cards_processed": total_cards,
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"points_expired": total_points,
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"warnings_sent": total_warnings,
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}
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def _expire_points_for_program(db: Session, program: LoyaltyProgram) -> tuple[int, int]:
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"""
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Expire points for a specific loyalty program.
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def _process_program(
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db: Session, program: LoyaltyProgram
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) -> tuple[int, int, int]:
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"""Process warnings + expiration for a single program.
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Also sends warning emails to cards approaching their expiration date
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(14 days before) and expired notifications after points are zeroed.
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Args:
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db: Database session
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program: Loyalty program to process
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Returns:
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Tuple of (cards_processed, points_expired)
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Returns (cards_expired, points_expired, warnings_sent).
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"""
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if not program.points_expiration_days:
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return 0, 0
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return 0, 0, 0
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now = datetime.now(UTC)
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# Calculate expiration threshold
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expiration_threshold = now - timedelta(days=program.points_expiration_days)
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logger.debug(
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f"Processing program {program.id}: expiration after {program.points_expiration_days} days "
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f"(threshold: {expiration_threshold})"
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)
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# --- Phase 1: Send 14-day warning emails ---
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# --- Phase 1: Send 14-day warning emails (chunked) ---
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warning_days = 14
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warning_threshold = now - timedelta(
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days=program.points_expiration_days - warning_days
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)
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_send_expiration_warnings(
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db, program, warning_threshold, warning_days, now
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warnings_sent = _send_expiration_warnings_chunked(
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db, program, warning_threshold, expiration_threshold, warning_days, now
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)
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# --- Phase 2: Expire points ---
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# Find cards with:
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# - Points balance > 0
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# - Last activity before expiration threshold
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# - Belonging to this program's merchant
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cards_to_expire = (
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db.query(LoyaltyCard)
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# --- Phase 2: Expire points (chunked) ---
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cards_expired, points_expired = _expire_points_chunked(
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db, program, expiration_threshold, now
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)
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return cards_expired, points_expired, warnings_sent
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# =========================================================================
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# Chunked expiration
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# =========================================================================
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def _expire_points_chunked(
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db: Session,
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program: LoyaltyProgram,
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expiration_threshold: datetime,
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now: datetime,
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) -> tuple[int, int]:
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"""Expire points in chunks to avoid long-held row locks.
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Each chunk:
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1. SELECT ... LIMIT 500 FOR UPDATE SKIP LOCKED
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2. Create POINTS_EXPIRED transactions
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3. Update card balances
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4. Commit (releases locks for this chunk)
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Returns (total_cards, total_points).
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"""
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total_cards = 0
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total_points = 0
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while True:
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# Fetch next chunk with row-level locks; SKIP LOCKED means
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# concurrent workers won't block on the same rows.
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card_ids_and_balances = (
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db.query(LoyaltyCard.id, LoyaltyCard.points_balance, LoyaltyCard.stamp_count)
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.filter(
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LoyaltyCard.merchant_id == program.merchant_id,
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LoyaltyCard.points_balance > 0,
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LoyaltyCard.last_activity_at < expiration_threshold,
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LoyaltyCard.is_active == True,
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LoyaltyCard.is_active == True, # noqa: E712
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)
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.limit(CHUNK_SIZE)
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.with_for_update(skip_locked=True)
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.all()
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)
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if not cards_to_expire:
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logger.debug(f"No cards to expire for program {program.id}")
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return 0, 0
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if not card_ids_and_balances:
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break
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logger.info(f"Found {len(cards_to_expire)} cards to expire for program {program.id}")
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chunk_cards = 0
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chunk_points = 0
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cards_processed = 0
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points_expired = 0
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for card in cards_to_expire:
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if card.points_balance <= 0:
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for card_id, balance, stamp_count in card_ids_and_balances:
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if balance <= 0:
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continue
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expired_points = card.points_balance
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# Create expiration transaction
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transaction = LoyaltyTransaction(
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card_id=card.id,
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db.add(
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LoyaltyTransaction(
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card_id=card_id,
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merchant_id=program.merchant_id,
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store_id=None, # System action, no store
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store_id=None,
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transaction_type=TransactionType.POINTS_EXPIRED.value,
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points_delta=-expired_points,
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points_delta=-balance,
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points_balance_after=0,
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stamps_delta=0,
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stamps_balance_after=card.stamp_count,
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notes=f"Points expired after {program.points_expiration_days} days of inactivity",
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stamps_balance_after=stamp_count,
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notes=(
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f"Points expired after {program.points_expiration_days} "
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f"days of inactivity"
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),
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transaction_at=now,
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)
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db.add(transaction) # noqa: PERF006
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)
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# Update card balance and voided tracking
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card.expire_points(expired_points)
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# Note: We don't update last_activity_at for expiration
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# Bulk-update the card in the same transaction
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db.query(LoyaltyCard).filter(LoyaltyCard.id == card_id).update(
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{
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LoyaltyCard.points_balance: 0,
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LoyaltyCard.total_points_voided: (
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LoyaltyCard.total_points_voided + balance
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),
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},
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synchronize_session=False,
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)
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# Send expired notification
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chunk_cards += 1
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chunk_points += balance
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# Commit this chunk — releases row locks
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db.commit()
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# Send notifications AFTER commit (outside the lock window)
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for card_id, balance, _stamp_count in card_ids_and_balances:
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if balance <= 0:
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continue
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try:
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card = db.query(LoyaltyCard).get(card_id)
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if card:
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from app.modules.loyalty.services.notification_service import (
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notification_service,
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)
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notification_service.send_points_expired(db, card, expired_points)
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notification_service.send_points_expired(db, card, balance)
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except Exception:
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logger.warning(
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f"Failed to queue expiration notification for card {card.id}",
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f"Failed to queue expiration notification for card {card_id}",
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exc_info=True,
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)
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cards_processed += 1
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points_expired += expired_points
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total_cards += chunk_cards
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total_points += chunk_points
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logger.debug(
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f"Expired {expired_points} points from card {card.id} "
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f"(last activity: {card.last_activity_at})"
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logger.info(
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f"Program {program.id}: expired chunk of {chunk_cards} cards "
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f"({chunk_points} pts), total so far: {total_cards} cards"
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)
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return cards_processed, points_expired
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return total_cards, total_points
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def _send_expiration_warnings(
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# =========================================================================
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# Chunked expiration warnings
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# =========================================================================
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def _send_expiration_warnings_chunked(
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db: Session,
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program: LoyaltyProgram,
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warning_threshold: datetime,
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expiration_threshold: datetime,
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warning_days: int,
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now: datetime,
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) -> int:
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"""Send expiration warning emails to cards approaching expiry.
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"""Send expiration warning emails in chunks.
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Only sends one warning per expiration cycle (tracked via
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last_expiration_warning_at on the card).
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Returns:
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Number of warnings sent
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"""
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from sqlalchemy import or_
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# Find cards in the warning window:
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# - Have points
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# - Last activity is past the warning threshold (i.e. will expire in ~14 days)
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# - But NOT yet past the full expiration threshold
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# - Haven't received a warning yet in this cycle
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expiration_threshold = now - timedelta(days=program.points_expiration_days)
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total_warnings = 0
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expiration_date = (now + timedelta(days=warning_days)).strftime("%Y-%m-%d")
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while True:
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cards = (
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db.query(LoyaltyCard)
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.filter(
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LoyaltyCard.merchant_id == program.merchant_id,
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LoyaltyCard.points_balance > 0,
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LoyaltyCard.is_active == True,
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LoyaltyCard.is_active == True, # noqa: E712
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LoyaltyCard.last_activity_at < warning_threshold,
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LoyaltyCard.last_activity_at >= expiration_threshold,
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or_(
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@@ -252,17 +280,14 @@ def _send_expiration_warnings(
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LoyaltyCard.last_expiration_warning_at < warning_threshold,
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),
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)
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.limit(CHUNK_SIZE)
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.all()
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)
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if not cards:
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return 0
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warnings_sent = 0
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expiration_date = (
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now + timedelta(days=warning_days)
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).strftime("%Y-%m-%d")
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break
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chunk_warnings = 0
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for card in cards:
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try:
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from app.modules.loyalty.services.notification_service import (
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@@ -277,17 +302,21 @@ def _send_expiration_warnings(
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expiration_date=expiration_date,
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)
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card.last_expiration_warning_at = now
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warnings_sent += 1
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chunk_warnings += 1
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except Exception:
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logger.warning(
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f"Failed to queue expiration warning for card {card.id}",
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exc_info=True,
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)
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db.commit()
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total_warnings += chunk_warnings
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if total_warnings:
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logger.info(
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f"Sent {warnings_sent} expiration warnings for program {program.id}"
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f"Sent {total_warnings} expiration warnings for program {program.id}"
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)
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return warnings_sent
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return total_warnings
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# Allow running directly for testing
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@@ -4,14 +4,22 @@ Wallet synchronization task.
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Handles syncing loyalty card data to Google Wallet and Apple Wallet
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for cards that may have missed real-time updates.
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Uses exponential backoff (1s, 4s, 16s) per card to handle transient
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API failures without blocking the entire batch.
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"""
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import logging
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import time
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from celery import shared_task
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logger = logging.getLogger(__name__)
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# Exponential backoff delays in seconds: 1s, 4s, 16s
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_RETRY_DELAYS = [1, 4, 16]
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_MAX_ATTEMPTS = len(_RETRY_DELAYS) + 1 # 4 total attempts
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@shared_task(name="loyalty.sync_wallet_passes")
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def sync_wallet_passes() -> dict:
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@@ -35,7 +43,6 @@ def sync_wallet_passes() -> dict:
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# Find cards with transactions in the last hour that have wallet IDs
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one_hour_ago = datetime.now(UTC) - timedelta(hours=1)
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# Get card IDs with recent transactions
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recent_tx_card_ids = (
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db.query(LoyaltyTransaction.card_id)
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.filter(LoyaltyTransaction.transaction_at >= one_hour_ago)
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@@ -51,9 +58,9 @@ def sync_wallet_passes() -> dict:
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"cards_checked": 0,
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"google_synced": 0,
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"apple_synced": 0,
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"failed_card_ids": [],
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}
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# Get cards with wallet integrations
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cards = (
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db.query(LoyaltyCard)
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.filter(
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@@ -69,31 +76,21 @@ def sync_wallet_passes() -> dict:
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failed_card_ids = []
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for card in cards:
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synced = False
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for attempt in range(2): # 1 retry
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try:
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results = wallet_service.sync_card_to_wallets(db, card)
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if results.get("google_wallet"):
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google_synced += 1
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if results.get("apple_wallet"):
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apple_synced += 1
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synced = True
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break
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except Exception as e:
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if attempt == 0:
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logger.warning(
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f"Failed to sync card {card.id} (attempt 1/2), "
|
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f"retrying in 2s: {e}"
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success, google, apple = _sync_card_with_backoff(
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wallet_service, db, card
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)
|
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import time
|
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time.sleep(2)
|
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if success:
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google_synced += google
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apple_synced += apple
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else:
|
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logger.error(
|
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f"Failed to sync card {card.id} after 2 attempts: {e}"
|
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)
|
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if not synced:
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failed_card_ids.append(card.id)
|
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|
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if failed_card_ids:
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logger.error(
|
||||
f"Wallet sync: {len(failed_card_ids)} cards failed after "
|
||||
f"{_MAX_ATTEMPTS} attempts each: {failed_card_ids}"
|
||||
)
|
||||
|
||||
logger.info(
|
||||
f"Wallet sync complete: {len(cards)} cards checked, "
|
||||
f"{google_synced} Google, {apple_synced} Apple, "
|
||||
@@ -113,6 +110,37 @@ def sync_wallet_passes() -> dict:
|
||||
return {
|
||||
"status": "error",
|
||||
"error": str(e),
|
||||
"failed_card_ids": [],
|
||||
}
|
||||
finally:
|
||||
db.close()
|
||||
|
||||
|
||||
def _sync_card_with_backoff(wallet_service, db, card) -> tuple[bool, int, int]:
|
||||
"""Sync a single card with exponential backoff.
|
||||
|
||||
Returns (success, google_count, apple_count).
|
||||
"""
|
||||
last_error = None
|
||||
|
||||
for attempt in range(_MAX_ATTEMPTS):
|
||||
try:
|
||||
results = wallet_service.sync_card_to_wallets(db, card)
|
||||
google = 1 if results.get("google_wallet") else 0
|
||||
apple = 1 if results.get("apple_wallet") else 0
|
||||
return True, google, apple
|
||||
except Exception as e:
|
||||
last_error = e
|
||||
if attempt < len(_RETRY_DELAYS):
|
||||
delay = _RETRY_DELAYS[attempt]
|
||||
logger.warning(
|
||||
f"Card {card.id} sync failed (attempt {attempt + 1}/"
|
||||
f"{_MAX_ATTEMPTS}), retrying in {delay}s: {e}"
|
||||
)
|
||||
time.sleep(delay)
|
||||
|
||||
logger.error(
|
||||
f"Card {card.id} sync failed after {_MAX_ATTEMPTS} attempts: "
|
||||
f"{last_error}"
|
||||
)
|
||||
return False, 0, 0
|
||||
|
||||
Reference in New Issue
Block a user