harden: cache PG/Redis singletons, safe orphan-lock cleanup, ScraperAbortedError on lock loss

This commit is contained in:
qananasikq
2026-04-18 00:33:10 +03:00
parent a8c5f8aa41
commit 7b7efbf525
9 changed files with 245 additions and 53 deletions

View File

@@ -11,6 +11,7 @@ from celery import shared_task
from redis import Redis
from ..core.config import Settings, parse_listing_segments
from ..core.exceptions import ScraperAbortedError
from ..scraper import IAAIScraper
from ..storage.db import PersistenceService
@@ -26,6 +27,11 @@ SYNC_LISTING_BOOTSTRAP_FAILURE_STREAK_TTL_SECONDS = 24 * 60 * 60
SYNC_LISTING_FOLLOWUP_PENDING_KEY = "iaai:state:sync_listing_followup_pending"
SYNC_LISTING_TASK_NAME = "iaai_scraper.worker.tasks.sync_listing_task"
# Process-level caches (по одному на prefork-child) — пересоздаются при ошибках
# или при старте нового child (max_tasks_per_child).
_CACHED_PERSISTENCE: PersistenceService | None = None
_CACHED_REDIS: Redis | None = None
def _retry_with_backoff(func, *, attempts: int = 5, base_delay_s: float = 1.0):
last_exc: Exception | None = None
@@ -92,32 +98,75 @@ def _sync_listing_lock_ttl_seconds() -> int:
def _get_persistence() -> PersistenceService:
settings = Settings()
persistence = PersistenceService(settings)
# Кэшируем engine на уровне процесса — иначе каждая task создаёт новый
# SQLAlchemy pool (5+10 коннектов), и за сутки worker исчерпает
# max_connections Postgres. С max_tasks_per_child=5 пул переиспользуется
# для всех 5 тасок, после чего child перезапустится и пул пересоздастся.
global _CACHED_PERSISTENCE
if _CACHED_PERSISTENCE is None:
settings = Settings()
_CACHED_PERSISTENCE = PersistenceService(settings)
persistence = _CACHED_PERSISTENCE
def _ping_db() -> None:
with persistence.engine.connect() as conn:
conn.exec_driver_sql("SELECT 1")
_retry_with_backoff(_ping_db, attempts=5, base_delay_s=1.0)
try:
_retry_with_backoff(_ping_db, attempts=3, base_delay_s=1.0)
except Exception:
# Engine мог стать невалидным (PG рестарт) — пересоздаём.
logger.warning("Cached DB engine ping failed; recreating engine", exc_info=True)
try:
_CACHED_PERSISTENCE.engine.dispose()
except Exception:
pass
_CACHED_PERSISTENCE = PersistenceService(Settings())
persistence = _CACHED_PERSISTENCE
_retry_with_backoff(_ping_db, attempts=5, base_delay_s=1.0)
return persistence
def _get_redis() -> Redis:
settings = Settings()
redis_client = Redis.from_url(
settings.redis.url,
decode_responses=True,
socket_connect_timeout=settings.redis.socket_connect_timeout_seconds,
socket_timeout=settings.redis.socket_timeout_seconds,
health_check_interval=settings.redis.health_check_interval_seconds,
retry_on_timeout=True,
)
# Кэшируем клиент на уровне процесса — Redis().from_url каждый раз создаёт
# отдельный connection pool. См. _get_persistence для аналогичного обоснования.
global _CACHED_REDIS
if _CACHED_REDIS is None:
settings = Settings()
_CACHED_REDIS = Redis.from_url(
settings.redis.url,
decode_responses=True,
socket_connect_timeout=settings.redis.socket_connect_timeout_seconds,
socket_timeout=settings.redis.socket_timeout_seconds,
health_check_interval=settings.redis.health_check_interval_seconds,
retry_on_timeout=True,
)
redis_client = _CACHED_REDIS
def _ping_redis() -> None:
redis_client.ping()
_retry_with_backoff(_ping_redis, attempts=5, base_delay_s=1.0)
try:
_retry_with_backoff(_ping_redis, attempts=3, base_delay_s=1.0)
except Exception:
logger.warning("Cached Redis ping failed; recreating client", exc_info=True)
try:
_CACHED_REDIS.close()
except Exception:
pass
settings = Settings()
_CACHED_REDIS = Redis.from_url(
settings.redis.url,
decode_responses=True,
socket_connect_timeout=settings.redis.socket_connect_timeout_seconds,
socket_timeout=settings.redis.socket_timeout_seconds,
health_check_interval=settings.redis.health_check_interval_seconds,
retry_on_timeout=True,
)
redis_client = _CACHED_REDIS
_retry_with_backoff(_ping_redis, attempts=5, base_delay_s=1.0)
return redis_client
@@ -179,7 +228,10 @@ def _release_lock_if_owner(redis_client: Redis, key: str, owner_token: str) -> N
def _has_running_sync_listing_tasks(celery_app, *, exclude_task_id: str | None = None) -> bool:
try:
inspector = celery_app.control.inspect(timeout=1.0)
# 10s — под нагрузкой workers могут отвечать с задержкой; 1s давал
# ложноположительные "пусто" → удаление валидного lock и параллельный
# запуск sync_listing с дублированием запросов к IAAI.
inspector = celery_app.control.inspect(timeout=10.0)
snapshots = [
inspector.active() or {},
inspector.reserved() or {},
@@ -208,6 +260,7 @@ def _clear_orphan_sync_listing_lock(redis_client: Redis, celery_app, *, current_
owner_token = redis_client.get(SYNC_LISTING_LOCK_KEY)
if not owner_token:
return False
ttl = redis_client.ttl(SYNC_LISTING_LOCK_KEY)
except Exception:
logger.warning("Failed to read sync listing lock before cleanup", exc_info=True)
return False
@@ -216,8 +269,21 @@ def _clear_orphan_sync_listing_lock(redis_client: Redis, celery_app, *, current_
logger.info("sync_listing lock preserved: active task still detected")
return False
# Защита от race: если активный owner_token изменился между inspect и delete —
# значит другой worker уже acquire'нул lock; удалять его нельзя.
try:
owner_token_after = redis_client.get(SYNC_LISTING_LOCK_KEY)
if owner_token_after != owner_token:
logger.info(
"sync_listing lock owner changed during cleanup (%s -> %s); preserving",
owner_token, owner_token_after,
)
return False
except Exception:
logger.warning("Failed to re-check sync listing lock owner before cleanup", exc_info=True)
return False
try:
ttl = redis_client.ttl(SYNC_LISTING_LOCK_KEY)
redis_client.delete(SYNC_LISTING_LOCK_KEY)
logger.warning(
"Removed orphan sync_listing lock owner=%s ttl=%s after worker restart",
@@ -344,20 +410,29 @@ def _start_lock_heartbeat(
key: str,
owner_token: str,
ttl_seconds: int,
) -> tuple[Event, Thread]:
) -> tuple[Event, Event, Thread]:
# Возвращает (stop_event, lock_lost_event, thread).
# lock_lost_event ставится в True, когда heartbeat обнаружил, что lock
# принадлежит другому owner'у (orphan-cleanup сработал ошибочно).
# Главная задача должна периодически проверять этот event.
stop_event = Event()
lock_lost_event = Event()
interval_seconds = max(5.0, min(30.0, ttl_seconds / 3))
def _heartbeat() -> None:
while not stop_event.wait(interval_seconds):
refreshed = _refresh_lock_if_owner(redis_client, key, owner_token, ttl_seconds)
if refreshed is False:
logger.warning("Lost sync_listing lock ownership for %s", owner_token)
logger.error(
"Lost sync_listing lock ownership for %s — signaling abort",
owner_token,
)
lock_lost_event.set()
return
thread = Thread(target=_heartbeat, name="sync-listing-lock-heartbeat", daemon=True)
thread.start()
return stop_event, thread
return stop_event, lock_lost_event, thread
@shared_task(
@@ -416,29 +491,40 @@ def sync_listing_task(
lock_acquired = False
lock_ttl = _sync_listing_lock_ttl_seconds()
heartbeat_stop: Event | None = None
heartbeat_lock_lost: Event | None = None
heartbeat_thread: Thread | None = None
force_bootstrap_full_scan = False
def _enqueue_bootstrap_followup(
reason: str,
delay_seconds: int = 5,
delay_seconds: int | None = None,
*,
count_as_failure: bool = False,
) -> None:
flag_ttl = max(lock_ttl, delay_seconds + 300)
# Всегда растим стрик (даже на soft timeout) — иначе в патологическом сценарии
# follow-up уходит каждые N секунд бесконечно. Сбрасывается только полным успехом.
streak, should_enqueue = _bump_bootstrap_failure_streak(redis_client, reason=reason)
if not should_enqueue:
logger.error(
"Bootstrap follow-up suppressed by circuit breaker (streak=%d, reason=%s); "
"next attempt will go through Celery beat schedule",
streak, reason,
)
return
# Экспоненциальный backoff: 30s, 60s, 120s, ... до 1 часа.
# Для count_as_failure=False (soft timeout с прогрессом) — короче.
base = 15 if not count_as_failure else 30
computed_delay = min(3600, base * (2 ** max(0, streak - 1)))
effective_delay = computed_delay if delay_seconds is None else max(int(delay_seconds), computed_delay)
flag_ttl = max(lock_ttl, effective_delay + 300)
if not _try_set_followup_pending(redis_client, ttl_seconds=flag_ttl):
logger.info(
"Bootstrap follow-up already pending; skip enqueue (reason=%s)",
reason,
)
return
if count_as_failure:
_, should_enqueue = _bump_bootstrap_failure_streak(redis_client, reason=reason)
if not should_enqueue:
_clear_followup_pending(redis_client)
return
else:
_clear_bootstrap_failure_streak(redis_client)
try:
self.app.send_task(
"iaai_scraper.worker.tasks.sync_listing_task",
@@ -450,12 +536,13 @@ def sync_listing_task(
"only_new": only_new,
},
queue="scraping",
countdown=max(0, int(delay_seconds)),
countdown=effective_delay,
)
logger.info(
"Bootstrap follow-up sync queued in %ss (reason=%s)",
delay_seconds,
"Bootstrap follow-up sync queued in %ss (reason=%s, streak=%d)",
effective_delay,
reason,
streak,
)
except Exception:
_clear_followup_pending(redis_client)
@@ -505,7 +592,7 @@ def sync_listing_task(
_clear_followup_pending(redis_client)
heartbeat_stop, heartbeat_thread = _start_lock_heartbeat(
heartbeat_stop, heartbeat_lock_lost, heartbeat_thread = _start_lock_heartbeat(
redis_client,
SYNC_LISTING_LOCK_KEY,
owner_token,
@@ -537,6 +624,10 @@ def sync_listing_task(
def _job():
with IAAIScraper() as scraper:
# Прокидываем abort-сигнал: scraper будет проверять его
# между сегментами/страницами и поднимет ScraperAbortedError.
if heartbeat_lock_lost is not None:
scraper.set_abort_callback(heartbeat_lock_lost.is_set)
if use_segmented:
return scraper.sync_listing_segmented(
segments=segments,
@@ -618,13 +709,27 @@ def sync_listing_task(
"note": "partial progress saved to DB; bootstrap continuation queued",
}
except ScraperAbortedError as exc:
# Lock потерян (orphan-cleanup в другом worker'е). НЕ освобождаем lock
# принудительно — он принадлежит другому owner'у. Не retry'имся, не
# планируем follow-up: новый владелец lock'а уже работает.
logger.warning("sync_listing_task aborted: %s", exc)
return {
"status": "aborted",
"task_id": task_id,
"reason": "lock_lost",
}
except Exception as exc:
logger.error("sync_listing_task failed: %s", exc, exc_info=True)
# Retry только на не-таймаутные ошибки (сеть, БД, браузер).
try:
if force_bootstrap_full_scan:
_set_full_scan_done(redis_client, False)
raise self.retry(exc=exc, countdown=5)
# Не делаем мгновенный retry в bootstrap — иначе зацикливание при
# стабильно падающем сегменте. Backoff: 60s × 2^attempt.
attempt = int(getattr(self.request, "retries", 0) or 0)
raise self.retry(exc=exc, countdown=min(600, 60 * (2 ** attempt)))
raise self.retry(exc=exc)
except self.MaxRetriesExceededError:
logger.error("sync_listing_task max retries exceeded, giving up")