"""
定时数据同步任务
使用 APScheduler 定时同步数据
"""
import logging
from datetime import datetime
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.cron import CronTrigger

from app.services.data_sync_service import DataSyncService
from app.services.amazing_data_service import amazing_data_service

logger = logging.getLogger(__name__)

# 全局调度器
scheduler = AsyncIOScheduler()


async def sync_kline_task():
    """定时同步 K 线数据任务"""
    try:
        logger.info("Starting scheduled kline data sync")
        
        # 确保连接
        if not amazing_data_service.ensure_connected():
            logger.error("Failed to connect to amazingData for scheduled sync")
            return
        
        # 同步默认品种和周期
        result = await DataSyncService.sync_all_symbols()
        
        logger.info(f"Scheduled sync completed: {result}")
        
    except Exception as e:
        logger.error(f"Scheduled sync failed: {e}")


async def sync_realtime_task():
    """定时同步实时行情任务"""
    try:
        logger.info("Starting scheduled realtime quote sync")
        
        symbols = DataSyncService.DEFAULT_SYMBOLS
        count = DataSyncService.sync_realtime_quotes(symbols)
        
        logger.info(f"Synced {count} realtime quotes")
        
    except Exception as e:
        logger.error(f"Realtime sync failed: {e}")


def start_scheduler():
    """启动定时任务调度器"""
    try:
        # 连接 amazingData（长连接）
        amazing_data_service.connect()
        
        # K 线数据同步：每分钟执行一次
        scheduler.add_job(
            sync_kline_task,
            trigger=CronTrigger(second=0),  # 每分钟的第 0 秒
            id='sync_kline',
            name='Sync Kline Data',
            replace_existing=True
        )
        
        # 实时行情同步：每 5 秒执行一次
        scheduler.add_job(
            sync_realtime_task,
            trigger='interval',
            seconds=5,
            id='sync_realtime',
            name='Sync Realtime Quotes',
            replace_existing=True
        )
        
        scheduler.start()
        logger.info("Scheduler started successfully")
        
    except Exception as e:
        logger.error(f"Failed to start scheduler: {e}")
        raise


def stop_scheduler():
    """停止定时任务调度器"""
    try:
        scheduler.shutdown()
        logger.info("Scheduler stopped")
        
        # 断开 amazingData 连接
        amazing_data_service.disconnect()
        
    except Exception as e:
        logger.error(f"Error stopping scheduler: {e}")


def get_scheduler() -> AsyncIOScheduler:
    """获取调度器实例"""
    return scheduler