Files
banban/talkingq-url/services/scheduler.py
2026-05-27 16:31:44 +08:00

67 lines
2.7 KiB
Python

from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.interval import IntervalTrigger
from banban.service.pending_voice_message import pending_voice_message_service
from services.offline_audio_cache import offline_audio_cache
from utils.logger import session_logger as logger
class TaskScheduler:
_instance = None
def __init__(self):
self._scheduler = AsyncIOScheduler(timezone="Asia/Shanghai")
@classmethod
def get_instance(cls) -> "TaskScheduler":
if cls._instance is None:
cls._instance = cls()
return cls._instance
@classmethod
def reset_instance(cls):
if cls._instance is not None:
cls._instance.shutdown()
cls._instance = None
def start(self):
if not self._scheduler.running:
self._scheduler.start()
logger.system_info("", "定时任务调度器已启动")
def shutdown(self):
if self._scheduler.running:
self._scheduler.shutdown(wait=False)
logger.system_info("", "定时任务调度器已关闭")
async def _execute_task(self):
try:
pending_devices = await pending_voice_message_service.list_devices_with_pending()
audio_cache = await offline_audio_cache.get_all_audio_cache()
fallback_devices = list(audio_cache.keys()) if audio_cache else []
device_ids = list(dict.fromkeys([*pending_devices, *fallback_devices]))
if not device_ids:
logger.warning("", "", "无离线音频缓存,跳过本次执行")
return
for device_id in device_ids:
sent = await pending_voice_message_service.notify_device_pending_message(
target_device_id=device_id,
)
if sent:
logger.info(device_id, "", f"[定时任务] 发送待收听留言提醒成功: device={device_id}")
else:
logger.info(device_id, "", f"[定时任务] 待收听留言提醒未发送: device={device_id}")
except Exception as e:
logger.error("", "", f"[定时任务] 执行失败: {e}")
def add_interval_task(self, interval_seconds: int = 600):
task_id = "Voice_Message_Task"
task_name = "Voice_Message_Task"
job = self._scheduler.add_job(
self._execute_task,
trigger=IntervalTrigger(seconds=interval_seconds),
id=task_id,
name=task_name,
replace_existing=True,
)
logger.system_info("", f"[定时任务] 已添加: {task_id} | 间隔={interval_seconds}s | 下次执行={job.next_run_time}")