Files
daily-paper/app/services/scheduler.py
T

105 lines
2.9 KiB
Python

"""调度服务 — APScheduler 每日自动抓取、总结、清理流水线。"""
from __future__ import annotations
import logging
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.cron import CronTrigger
from sqlalchemy.orm import Session
from zoneinfo import ZoneInfo
from app.config import settings
from app.database import SessionLocal
from app.services.pipeline import run_pipeline
from app.utils import today_str
logger = logging.getLogger(__name__)
# 模块级 scheduler 实例,保证单例
_scheduler: AsyncIOScheduler | None = None
def get_scheduler() -> AsyncIOScheduler | None:
"""返回当前 scheduler 实例(供测试和外部检查用)。"""
return _scheduler
def start_scheduler() -> AsyncIOScheduler | None:
"""创建并启动 APScheduler。
约束:
- SCHEDULER_ENABLED=true 才启动。
- APP_WORKERS > 1 时只打印警告(多 worker 下调度器可能重复触发)。
- 使用 task_locks 表防重入。
- 调度时间按 APP_TIMEZONE 时区。
"""
global _scheduler
if not settings.SCHEDULER_ENABLED:
logger.info("Scheduler disabled (SCHEDULER_ENABLED=false)")
return None
if settings.APP_WORKERS > 1:
logger.warning(
"⚠️ APP_WORKERS=%d > 1, scheduler may trigger duplicate tasks. "
"Set APP_WORKERS=1 or SCHEDULER_ENABLED=false.",
settings.APP_WORKERS,
)
tz = ZoneInfo(settings.APP_TIMEZONE)
scheduler = AsyncIOScheduler(timezone=tz)
# 每日流水线:抓取 → 总结 → 清理
trigger = CronTrigger(
hour=settings.SCHEDULE_HOUR,
minute=settings.SCHEDULE_MINUTE,
timezone=tz,
)
scheduler.add_job(
_daily_pipeline,
trigger=trigger,
id="daily_pipeline",
name="daily_pipeline",
replace_existing=True,
max_instances=1,
misfire_grace_time=3600, # 允许迟到 1 小时内补执行
)
scheduler.start()
_scheduler = scheduler
logger.info(
"Scheduler started: %02d:%02d %s",
settings.SCHEDULE_HOUR,
settings.SCHEDULE_MINUTE,
settings.APP_TIMEZONE,
)
return scheduler
def stop_scheduler() -> None:
"""停止调度器。"""
global _scheduler
if _scheduler:
_scheduler.shutdown(wait=False)
_scheduler = None
logger.info("Scheduler stopped")
async def _daily_pipeline() -> None:
"""每日流水线:抓取 → 总结 → 清理。
委托给 pipeline.run_pipeline 执行,使用 task_locks 防重入。
"""
today = today_str()
db: Session = SessionLocal()
try:
await run_pipeline(db, today, owner="daily_pipeline")
except RuntimeError:
logger.warning("Daily pipeline already running for %s, skipping", today)
except Exception:
logger.exception("Unexpected error in daily pipeline")
finally:
db.close()