xianyu-backend-java/XianyuAutoAsync.py

import asyncio
import json
import re
import time
import base64
import os
import random
from enum import Enum
from loguru import logger
import websockets
from utils.xianyu_utils import (
    decrypt, generate_mid, generate_uuid, trans_cookies,
    generate_device_id, generate_sign
)
from config import (
    WEBSOCKET_URL, HEARTBEAT_INTERVAL, HEARTBEAT_TIMEOUT,
    TOKEN_REFRESH_INTERVAL, TOKEN_RETRY_INTERVAL, COOKIES_STR,
    LOG_CONFIG, AUTO_REPLY, DEFAULT_HEADERS, WEBSOCKET_HEADERS,
    APP_CONFIG, API_ENDPOINTS
)
import sys
import aiohttp
from collections import defaultdict
from db_manager import db_manager

# 滑块验证补丁已废弃，使用集成的 Playwright 登录方法
# 不再需要猴子补丁，所有功能已集成到 XianyuSliderStealth 类中

class ConnectionState(Enum):
    """WebSocket连接状态枚举"""
    DISCONNECTED = "disconnected"  # 未连接
    CONNECTING = "connecting"  # 连接中
    CONNECTED = "connected"  # 已连接
    RECONNECTING = "reconnecting"  # 重连中
    FAILED = "failed"  # 连接失败
    CLOSED = "closed"  # 已关闭


class AutoReplyPauseManager:
    """自动回复暂停管理器"""
    def __init__(self):
        # 存储每个chat_id的暂停信息 {chat_id: pause_until_timestamp}
        self.paused_chats = {}

    def pause_chat(self, chat_id: str, cookie_id: str):
        """暂停指定chat_id的自动回复，使用账号特定的暂停时间"""
        # 获取账号特定的暂停时间
        try:
            from db_manager import db_manager
            pause_minutes = db_manager.get_cookie_pause_duration(cookie_id)
        except Exception as e:
            logger.error(f"获取账号 {cookie_id} 暂停时间失败: {e}，使用默认10分钟")
            pause_minutes = 10

        # 如果暂停时间为0，表示不暂停
        if pause_minutes == 0:
            logger.info(f"【{cookie_id}】检测到手动发出消息，但暂停时间设置为0，不暂停自动回复")
            return

        pause_duration_seconds = pause_minutes * 60
        pause_until = time.time() + pause_duration_seconds
        self.paused_chats[chat_id] = pause_until

        # 计算暂停结束时间
        end_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(pause_until))
        logger.info(f"【{cookie_id}】检测到手动发出消息，chat_id {chat_id} 自动回复暂停{pause_minutes}分钟，恢复时间: {end_time}")

    def is_chat_paused(self, chat_id: str) -> bool:
        """检查指定chat_id是否处于暂停状态"""
        if chat_id not in self.paused_chats:
            return False

        current_time = time.time()
        pause_until = self.paused_chats[chat_id]

        if current_time >= pause_until:
            # 暂停时间已过，移除记录
            del self.paused_chats[chat_id]
            return False

        return True

    def get_remaining_pause_time(self, chat_id: str) -> int:
        """获取指定chat_id剩余暂停时间（秒）"""
        if chat_id not in self.paused_chats:
            return 0

        current_time = time.time()
        pause_until = self.paused_chats[chat_id]
        remaining = max(0, int(pause_until - current_time))

        return remaining

    def cleanup_expired_pauses(self):
        """清理已过期的暂停记录"""
        current_time = time.time()
        expired_chats = [chat_id for chat_id, pause_until in self.paused_chats.items()
                        if current_time >= pause_until]

        for chat_id in expired_chats:
            del self.paused_chats[chat_id]


# 全局暂停管理器实例
pause_manager = AutoReplyPauseManager()

def log_captcha_event(cookie_id: str, event_type: str, success: bool = None, details: str = ""):
    """
    简单记录滑块验证事件到txt文件

    Args:
        cookie_id: 账号ID
        event_type: 事件类型 (检测到/开始处理/成功/失败)
        success: 是否成功 (None表示进行中)
        details: 详细信息
    """
    try:
        log_dir = 'logs'
        os.makedirs(log_dir, exist_ok=True)
        log_file = os.path.join(log_dir, 'captcha_verification.txt')

        timestamp = time.strftime('%Y-%m-%d %H:%M:%S')
        status = "成功" if success is True else "失败" if success is False else "进行中"

        log_entry = f"[{timestamp}] 【{cookie_id}】{event_type} - {status}"
        if details:
            log_entry += f" - {details}"
        log_entry += "\n"

        with open(log_file, 'a', encoding='utf-8') as f:
            f.write(log_entry)

    except Exception as e:
        logger.error(f"记录滑块验证日志失败: {e}")

# 日志配置
log_dir = 'logs'
os.makedirs(log_dir, exist_ok=True)
log_path = os.path.join(log_dir, f"xianyu_{time.strftime('%Y-%m-%d')}.log")
logger.remove()
logger.add(
    log_path,
    rotation=LOG_CONFIG.get('rotation', '1 day'),
    retention=LOG_CONFIG.get('retention', '7 days'),
    compression=LOG_CONFIG.get('compression', 'zip'),
    level=LOG_CONFIG.get('level', 'DEBUG'),
    format=LOG_CONFIG.get('format', '<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>'),
    encoding='utf-8',
    enqueue=True
)
logger.add(
    sys.stdout,
    level=LOG_CONFIG.get('level', 'DEBUG'),
    format=LOG_CONFIG.get('format', '<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>'),
    enqueue=True
)

class XianyuLive:
    # 类级别的锁字典，为每个order_id维护一个锁（用于自动发货）
    _order_locks = defaultdict(lambda: asyncio.Lock())
    # 记录锁的最后使用时间，用于清理
    _lock_usage_times = {}
    # 记录锁的持有状态和释放时间 {lock_key: {'locked': bool, 'release_time': float, 'task': asyncio.Task}}
    _lock_hold_info = {}

    # 独立的锁字典，用于订单详情获取（不使用延迟锁机制）
    _order_detail_locks = defaultdict(lambda: asyncio.Lock())
    # 记录订单详情锁的使用时间
    _order_detail_lock_times = {}

    # 商品详情缓存（24小时有效）
    _item_detail_cache = {}  # {item_id: {'detail': str, 'timestamp': float, 'access_time': float}}
    _item_detail_cache_lock = asyncio.Lock()
    _item_detail_cache_max_size = 1000  # 最大缓存1000个商品
    _item_detail_cache_ttl = 24 * 60 * 60  # 24小时TTL

    # 类级别的实例管理字典，用于API调用
    _instances = {}  # {cookie_id: XianyuLive实例}
    _instances_lock = asyncio.Lock()
    
    # 类级别的密码登录时间记录，用于防止重复登录
    _last_password_login_time = {}  # {cookie_id: timestamp}
    _password_login_cooldown = 60  # 密码登录冷却时间：60秒
    
    def _safe_str(self, e):
        """安全地将异常转换为字符串"""
        try:
            return str(e)
        except:
            try:
                return repr(e)
            except:
                return "未知错误"

    def _set_connection_state(self, new_state: ConnectionState, reason: str = ""):
        """设置连接状态并记录日志"""
        if self.connection_state != new_state:
            old_state = self.connection_state
            self.connection_state = new_state
            self.last_state_change_time = time.time()
            
            # 记录状态转换
            state_msg = f"【{self.cookie_id}】连接状态: {old_state.value} → {new_state.value}"
            if reason:
                state_msg += f" ({reason})"
            
            # 根据状态严重程度选择日志级别
            if new_state == ConnectionState.FAILED:
                logger.error(state_msg)
            elif new_state == ConnectionState.RECONNECTING:
                logger.warning(state_msg)
            elif new_state == ConnectionState.CONNECTED:
                logger.success(state_msg)
            else:
                logger.info(state_msg)

    async def _interruptible_sleep(self, duration: float):
        """可中断的sleep，将长时间sleep拆分成多个短时间sleep，以便及时响应取消信号
        
        Args:
            duration: 总睡眠时间（秒）
        """
        # 将长时间sleep拆分成多个1秒的短sleep，这样可以及时响应取消信号
        chunk_size = 1.0  # 每次sleep 1秒
        remaining = duration
        
        while remaining > 0:
            sleep_time = min(chunk_size, remaining)
            try:
                await asyncio.sleep(sleep_time)
                remaining -= sleep_time
            except asyncio.CancelledError:
                # 如果收到取消信号，立即抛出
                raise

    def _reset_background_tasks(self):
        """直接重置后台任务引用，不等待取消（用于快速重连）
        
        注意：只重置心跳任务，因为只有心跳任务依赖WebSocket连接。
        其他任务（Token刷新、清理、Cookie刷新）不依赖WebSocket，可以继续运行。
        """
        logger.info(f"【{self.cookie_id}】准备重置后台任务引用（仅重置依赖WebSocket的任务）...")
        
        # 只处理心跳任务（依赖WebSocket，需要重启）
        if self.heartbeat_task:
            status = "已完成" if self.heartbeat_task.done() else "运行中"
            logger.info(f"【{self.cookie_id}】发现心跳任务（状态: {status}），需要重置（因为依赖WebSocket连接）")
            # 尝试取消心跳任务（但不等待）
            if not self.heartbeat_task.done():
                try:
                    self.heartbeat_task.cancel()
                    logger.debug(f"【{self.cookie_id}】已发送取消信号给心跳任务（不等待响应）")
                except Exception as e:
                    logger.warning(f"【{self.cookie_id}】取消心跳任务失败: {e}")
            # 重置心跳任务引用
            self.heartbeat_task = None
            logger.info(f"【{self.cookie_id}】心跳任务引用已重置")
        else:
            logger.info(f"【{self.cookie_id}】没有心跳任务需要重置")
        
        # 检查其他任务的状态（这些任务不依赖WebSocket，不需要重启）
        other_tasks_status = []
        if self.token_refresh_task:
            status = "已完成" if self.token_refresh_task.done() else "运行中"
            other_tasks_status.append(f"Token刷新任务({status})")
        if self.cleanup_task:
            status = "已完成" if self.cleanup_task.done() else "运行中"
            other_tasks_status.append(f"清理任务({status})")
        if self.cookie_refresh_task:
            status = "已完成" if self.cookie_refresh_task.done() else "运行中"
            other_tasks_status.append(f"Cookie刷新任务({status})")
        
        if other_tasks_status:
            logger.info(f"【{self.cookie_id}】其他任务继续运行（不依赖WebSocket）: {', '.join(other_tasks_status)}")
        else:
            logger.info(f"【{self.cookie_id}】没有其他任务在运行")
        
        logger.info(f"【{self.cookie_id}】任务重置完成，可以立即创建新的心跳任务")

    async def _cancel_background_tasks(self):
        """取消并清理所有后台任务（保留此方法用于程序退出时的完整清理）"""
        try:
            tasks_to_cancel = []
            
            # 收集所有需要取消的任务（只收集未完成的任务）
            if self.heartbeat_task:
                if not self.heartbeat_task.done():
                    tasks_to_cancel.append(("心跳任务", self.heartbeat_task))
                else:
                    logger.debug(f"【{self.cookie_id}】心跳任务已完成，跳过")
                    
            if self.token_refresh_task:
                if not self.token_refresh_task.done():
                    tasks_to_cancel.append(("Token刷新任务", self.token_refresh_task))
                else:
                    logger.debug(f"【{self.cookie_id}】Token刷新任务已完成，跳过")
                    
            if self.cleanup_task:
                if not self.cleanup_task.done():
                    tasks_to_cancel.append(("清理任务", self.cleanup_task))
                else:
                    logger.debug(f"【{self.cookie_id}】清理任务已完成，跳过")
                    
            if self.cookie_refresh_task:
                if not self.cookie_refresh_task.done():
                    tasks_to_cancel.append(("Cookie刷新任务", self.cookie_refresh_task))
                else:
                    logger.debug(f"【{self.cookie_id}】Cookie刷新任务已完成，跳过")
            
            if not tasks_to_cancel:
                logger.info(f"【{self.cookie_id}】没有后台任务需要取消（所有任务已完成或不存在）")
                # 立即重置任务引用
                self.heartbeat_task = None
                self.token_refresh_task = None
                self.cleanup_task = None
                self.cookie_refresh_task = None
                return
            
            logger.info(f"【{self.cookie_id}】开始取消 {len(tasks_to_cancel)} 个未完成的后台任务...")
            
            # 取消所有任务
            for task_name, task in tasks_to_cancel:
                try:
                    if task.done():
                        logger.info(f"【{self.cookie_id}】任务已完成，跳过取消: {task_name}")
                    else:
                        task.cancel()
                        logger.info(f"【{self.cookie_id}】已发送取消信号: {task_name}")
                except Exception as e:
                    logger.warning(f"【{self.cookie_id}】取消任务失败 {task_name}: {e}")
            
            # 等待所有任务完成取消，使用合理的超时时间
            # 现在任务中已经添加了 await asyncio.sleep(0) 来让出控制权，应该能够响应取消信号
            tasks = [task for _, task in tasks_to_cancel]
            logger.info(f"【{self.cookie_id}】等待 {len(tasks)} 个任务响应取消信号...")
            
            wait_timeout = 5.0  # 增加超时时间到5秒，给任务更多时间响应取消信号
            
            start_time = time.time()
            try:
                # 只等待未完成的任务
                pending_tasks_list = [task for task in tasks if not task.done()]
                
                # 记录每个任务的状态
                for task_name, task in tasks_to_cancel:
                    status = "已完成" if task.done() else "运行中"
                    logger.info(f"【{self.cookie_id}】任务状态: {task_name} - {status}")
                
                if not pending_tasks_list:
                    logger.info(f"【{self.cookie_id}】所有任务已完成，无需等待")
                else:
                    logger.info(f"【{self.cookie_id}】等待 {len(pending_tasks_list)} 个未完成任务响应（超时时间: {wait_timeout}秒）...")
                    try:
                        # 使用 wait 等待任务完成，设置超时
                        logger.debug(f"【{self.cookie_id}】开始调用 asyncio.wait()...")
                        done, pending = await asyncio.wait(
                            pending_tasks_list,
                            timeout=wait_timeout,
                            return_when=asyncio.ALL_COMPLETED
                        )
                        elapsed = time.time() - start_time
                        logger.info(f"【{self.cookie_id}】asyncio.wait() 返回，耗时 {elapsed:.3f}秒，已完成: {len(done)}，未完成: {len(pending)}")
                        
                        # 检查已完成的任务，并记录详细信息
                        for task_name, task in tasks_to_cancel:
                            if task in done:
                                try:
                                    task.result()
                                    logger.warning(f"【{self.cookie_id}】⚠️ 任务正常完成（非取消）: {task_name}")
                                except asyncio.CancelledError:
                                    logger.info(f"【{self.cookie_id}】✅ 任务已成功取消: {task_name}")
                                except Exception as e:
                                    logger.warning(f"【{self.cookie_id}】⚠️ 任务取消时出现异常 {task_name}: {e}")
                        
                        if pending:
                            # 找出未完成的任务名称和详细信息
                            pending_names = []
                            for task_name, task in tasks_to_cancel:
                                if task in pending:
                                    pending_names.append(task_name)
                                    # 记录未完成任务的状态
                                    if task.done():
                                        try:
                                            task.result()
                                            logger.warning(f"【{self.cookie_id}】任务在等待期间完成: {task_name}")
                                        except asyncio.CancelledError:
                                            logger.info(f"【{self.cookie_id}】任务在等待期间被取消: {task_name}")
                                        except Exception as e:
                                            logger.warning(f"【{self.cookie_id}】任务在等待期间异常 {task_name}: {e}")
                                    else:
                                        logger.warning(f"【{self.cookie_id}】任务仍未完成: {task_name} (done={task.done()})")
                            
                            logger.warning(f"【{self.cookie_id}】等待超时 ({elapsed:.3f}秒)，以下任务可能仍在运行: {', '.join(pending_names)}")
                            
                            # 强制取消所有未完成的任务（再次尝试）
                            for task_name, task in tasks_to_cancel:
                                if task in pending and not task.done():
                                    try:
                                        task.cancel()
                                        logger.warning(f"【{self.cookie_id}】强制取消任务: {task_name}")
                                    except Exception as e:
                                        logger.warning(f"【{self.cookie_id}】强制取消任务失败 {task_name}: {e}")
                            
                            # 再等待一小段时间，看是否有任务响应
                            if pending:
                                try:
                                    done2, pending2 = await asyncio.wait(pending, timeout=1.0, return_when=asyncio.ALL_COMPLETED)
                                    for task_name, task in tasks_to_cancel:
                                        if task in done2:
                                            try:
                                                task.result()
                                            except asyncio.CancelledError:
                                                logger.info(f"【{self.cookie_id}】任务在二次等待期间被取消: {task_name}")
                                            except Exception as e:
                                                logger.warning(f"【{self.cookie_id}】任务在二次等待期间异常 {task_name}: {e}")
                                except Exception as e:
                                    logger.warning(f"【{self.cookie_id}】二次等待任务时出错: {e}")
                            
                            logger.warning(f"【{self.cookie_id}】强制继续重连流程，未完成的任务将在后台继续运行（但已标记为取消）")
                        else:
                            logger.info(f"【{self.cookie_id}】所有后台任务已取消 (耗时 {elapsed:.3f}秒)")
                            
                    except Exception as e:
                        elapsed = time.time() - start_time
                        logger.warning(f"【{self.cookie_id}】等待任务时出错 (耗时 {elapsed:.3f}秒): {e}")
                        import traceback
                        logger.warning(f"【{self.cookie_id}】等待任务异常堆栈:\n{traceback.format_exc()}")
                        
            except Exception as e:
                elapsed = time.time() - start_time
                logger.error(f"【{self.cookie_id}】等待任务取消时出错 (耗时 {elapsed:.3f}秒): {e}")
                import traceback
                logger.error(f"【{self.cookie_id}】等待任务取消异常堆栈:\n{traceback.format_exc()}")
            
            logger.info(f"【{self.cookie_id}】任务取消流程完成，继续重连流程")
            
            # 最后检查一次所有任务的状态
            for task_name, task in tasks_to_cancel:
                if task and not task.done():
                    logger.warning(f"【{self.cookie_id}】⚠️ 任务取消流程完成后，任务仍未完成: {task_name} (done={task.done()})")
                elif task and task.done():
                    logger.debug(f"【{self.cookie_id}】✅ 任务已完成: {task_name}")
        
        finally:
            # 使用 finally 确保无论发生什么情况都会重置任务引用
            # 这样可以保证下次重连时所有任务都会被重新创建
            self.heartbeat_task = None
            self.token_refresh_task = None
            self.cleanup_task = None
            self.cookie_refresh_task = None
            logger.info(f"【{self.cookie_id}】后台任务引用已全部重置")

    def _calculate_retry_delay(self, error_msg: str) -> int:
        """根据错误类型和失败次数计算重试延迟"""
        # WebSocket意外断开 - 短延迟
        if "no close frame received or sent" in error_msg:
            return min(3 * self.connection_failures, 15)
        
        # 网络连接问题 - 长延迟
        elif "Connection refused" in error_msg or "timeout" in error_msg.lower():
            return min(10 * self.connection_failures, 60)
        
        # 其他未知错误 - 中等延迟
        else:
            return min(5 * self.connection_failures, 30)

    def _cleanup_instance_caches(self):
        """清理实例级别的缓存，防止内存泄漏"""
        try:
            current_time = time.time()
            cleaned_total = 0
            
            # 清理过期的通知记录（保留30分钟内的，从1小时优化）
            max_notification_age = 1800  # 30分钟（从3600优化）
            expired_notifications = [
                key for key, last_time in self.last_notification_time.items()
                if current_time - last_time > max_notification_age
            ]
            for key in expired_notifications:
                del self.last_notification_time[key]
            if expired_notifications:
                cleaned_total += len(expired_notifications)
                logger.warning(f"【{self.cookie_id}】清理了 {len(expired_notifications)} 个过期通知记录")
            
            # 清理过期的发货记录（保留30分钟内的）
            max_delivery_age = 1800  # 30分钟
            expired_deliveries = [
                order_id for order_id, last_time in self.last_delivery_time.items()
                if current_time - last_time > max_delivery_age
            ]
            for order_id in expired_deliveries:
                del self.last_delivery_time[order_id]
            if expired_deliveries:
                cleaned_total += len(expired_deliveries)
                logger.warning(f"【{self.cookie_id}】清理了 {len(expired_deliveries)} 个过期发货记录")

            # 清理过期的已发货记录（与发货冷却保持一致）
            expired_sent_orders = [
                order_id for order_id, sent_time in self.delivery_sent_orders.items()
                if current_time - sent_time > max_delivery_age
            ]
            for order_id in expired_sent_orders:
                del self.delivery_sent_orders[order_id]
            if expired_sent_orders:
                cleaned_total += len(expired_sent_orders)
                logger.warning(f"【{self.cookie_id}】清理了 {len(expired_sent_orders)} 个已发货记录")
            
            # 清理过期的订单确认记录（保留30分钟内的）
            max_confirm_age = 1800  # 30分钟
            expired_confirms = [
                order_id for order_id, last_time in self.confirmed_orders.items()
                if current_time - last_time > max_confirm_age
            ]
            for order_id in expired_confirms:
                del self.confirmed_orders[order_id]
            if expired_confirms:
                cleaned_total += len(expired_confirms)
                logger.warning(f"【{self.cookie_id}】清理了 {len(expired_confirms)} 个过期订单确认记录")
            
            # 只有实际清理了内容才记录总数日志
            if cleaned_total > 0:
                logger.info(f"【{self.cookie_id}】实例缓存清理完成，共清理 {cleaned_total} 条记录")
                logger.warning(
                    f"【{self.cookie_id}】当前缓存数量 - 通知: {len(self.last_notification_time)}, 发货: {len(self.last_delivery_time)}, 已发货: {len(self.delivery_sent_orders)}, 确认: {len(self.confirmed_orders)}"
                )
        
        except Exception as e:
            logger.error(f"【{self.cookie_id}】清理实例缓存时出错: {self._safe_str(e)}")
    
    async def _cleanup_playwright_cache(self):
        """清理Playwright浏览器临时文件和缓存（Docker环境专用）"""
        try:
            import shutil
            import glob
            
            # 定义需要清理的临时目录路径
            temp_paths = [
                '/tmp/playwright-*',  # Playwright临时会话
                '/tmp/chromium-*',    # Chromium临时文件
                '/ms-playwright/chromium-*/Default/Cache',  # 浏览器缓存
                '/ms-playwright/chromium-*/Default/Code Cache',  # 代码缓存
                '/ms-playwright/chromium-*/Default/GPUCache',  # GPU缓存
            ]
            
            total_cleaned = 0
            total_size_mb = 0
            
            for pattern in temp_paths:
                try:
                    matching_paths = glob.glob(pattern)
                    for path in matching_paths:
                        try:
                            if os.path.exists(path):
                                # 计算大小
                                if os.path.isdir(path):
                                    size = sum(
                                        os.path.getsize(os.path.join(dirpath, filename))
                                        for dirpath, _, filenames in os.walk(path)
                                        for filename in filenames
                                    )
                                    shutil.rmtree(path, ignore_errors=True)
                                else:
                                    size = os.path.getsize(path)
                                    os.remove(path)
                                
                                total_size_mb += size / (1024 * 1024)
                                total_cleaned += 1
                        except Exception as e:
                            logger.warning(f"清理路径 {path} 时出错: {e}")
                except Exception as e:
                    logger.warning(f"匹配路径 {pattern} 时出错: {e}")
            
            if total_cleaned > 0:
                logger.info(f"【{self.cookie_id}】Playwright缓存清理完成: 删除了 {total_cleaned} 个文件/目录，释放 {total_size_mb:.2f} MB")
            else:
                logger.warning(f"【{self.cookie_id}】Playwright缓存清理: 没有需要清理的临时文件")
                
        except Exception as e:
            logger.warning(f"【{self.cookie_id}】清理Playwright缓存时出错: {self._safe_str(e)}")

    async def _cleanup_old_logs(self, retention_days: int = 7):
        """清理过期的日志文件
        
        Args:
            retention_days: 保留的天数，默认7天
            
        Returns:
            清理的文件数量
        """
        try:
            import glob
            from datetime import datetime, timedelta
            
            logs_dir = "logs"
            if not os.path.exists(logs_dir):
                logger.warning(f"【{self.cookie_id}】日志目录不存在: {logs_dir}")
                return 0
            
            # 计算过期时间点
            cutoff_time = datetime.now() - timedelta(days=retention_days)
            
            # 查找所有日志文件（包括.log和.log.zip）
            log_patterns = [
                os.path.join(logs_dir, "xianyu_*.log"),
                os.path.join(logs_dir, "xianyu_*.log.zip"),
                os.path.join(logs_dir, "app_*.log"),
                os.path.join(logs_dir, "app_*.log.zip"),
            ]
            
            total_cleaned = 0
            total_size_mb = 0
            
            for pattern in log_patterns:
                log_files = glob.glob(pattern)
                for log_file in log_files:
                    try:
                        # 获取文件修改时间
                        file_mtime = datetime.fromtimestamp(os.path.getmtime(log_file))
                        
                        # 如果文件早于保留期限，则删除
                        if file_mtime < cutoff_time:
                            file_size = os.path.getsize(log_file)
                            os.remove(log_file)
                            total_size_mb += file_size / (1024 * 1024)
                            total_cleaned += 1
                            logger.debug(f"【{self.cookie_id}】删除过期日志文件: {log_file} (修改时间: {file_mtime})")
                    except Exception as e:
                        logger.warning(f"【{self.cookie_id}】删除日志文件失败 {log_file}: {self._safe_str(e)}")
            
            if total_cleaned > 0:
                logger.info(f"【{self.cookie_id}】日志清理完成: 删除了 {total_cleaned} 个日志文件，释放 {total_size_mb:.2f} MB (保留 {retention_days} 天内的日志)")
            else:
                logger.debug(f"【{self.cookie_id}】日志清理: 没有需要清理的过期日志文件 (保留 {retention_days} 天)")
            
            return total_cleaned
            
        except Exception as e:
            logger.error(f"【{self.cookie_id}】清理日志文件时出错: {self._safe_str(e)}")
            return 0

    def __init__(self, cookies_str=None, cookie_id: str = "default", user_id: int = None):
        """初始化闲鱼直播类"""
        logger.info(f"【{cookie_id}】开始初始化XianyuLive...")

        if not cookies_str:
            cookies_str = COOKIES_STR
        if not cookies_str:
            raise ValueError("未提供cookies，请在global_config.yml中配置COOKIES_STR或通过参数传入")

        logger.info(f"【{cookie_id}】解析cookies...")
        self.cookies = trans_cookies(cookies_str)
        logger.info(f"【{cookie_id}】cookies解析完成，包含字段: {list(self.cookies.keys())}")

        self.cookie_id = cookie_id  # 唯一账号标识
        self.cookies_str = cookies_str  # 保存原始cookie字符串
        self.user_id = user_id  # 保存用户ID，用于token刷新时保持正确的所有者关系
        self.base_url = WEBSOCKET_URL

        if 'unb' not in self.cookies:
            raise ValueError(f"【{cookie_id}】Cookie中缺少必需的'unb'字段，当前字段: {list(self.cookies.keys())}")

        self.myid = self.cookies['unb']
        logger.info(f"【{cookie_id}】用户ID: {self.myid}")
        self.device_id = generate_device_id(self.myid)

        # 心跳相关配置
        self.heartbeat_interval = HEARTBEAT_INTERVAL
        self.heartbeat_timeout = HEARTBEAT_TIMEOUT
        self.last_heartbeat_time = 0
        self.last_heartbeat_response = 0
        self.heartbeat_task = None
        self.ws = None

        # Token刷新相关配置
        self.token_refresh_interval = TOKEN_REFRESH_INTERVAL
        self.token_retry_interval = TOKEN_RETRY_INTERVAL
        self.last_token_refresh_time = 0
        self.current_token = None
        self.token_refresh_task = None
        self.connection_restart_flag = False  # 连接重启标志

        # 通知防重复机制
        self.last_notification_time = {}  # 记录每种通知类型的最后发送时间
        self.notification_cooldown = 300  # 5分钟内不重复发送相同类型的通知
        self.token_refresh_notification_cooldown = 18000  # Token刷新异常通知冷却时间：3小时
        self.notification_lock = asyncio.Lock()  # 通知防重复机制的异步锁

        # 自动发货防重复机制
        self.last_delivery_time = {}  # 记录每个商品的最后发货时间
        self.delivery_cooldown = 600  # 10分钟内不重复发货

        # 自动确认发货防重复机制
        self.confirmed_orders = {}  # 记录已确认发货的订单，防止重复确认
        self.order_confirm_cooldown = 600  # 10分钟内不重复确认同一订单

        # 自动发货已发送订单记录（存时间戳便于清理）
        self.delivery_sent_orders = {}  # {order_id: timestamp}

        self.session = None  # 用于API调用的aiohttp session

        # 启动定期清理过期暂停记录的任务
        self.cleanup_task = None

        # Cookie刷新定时任务
        self.cookie_refresh_task = None
        self.cookie_refresh_interval = 1200  # 1小时 = 3600秒
        self.last_cookie_refresh_time = 0
        self.cookie_refresh_lock = asyncio.Lock()  # 使用Lock防止重复执行Cookie刷新
        self.cookie_refresh_enabled = True  # 是否启用Cookie刷新功能

        # 扫码登录Cookie刷新标志
        self.last_qr_cookie_refresh_time = 0  # 记录上次扫码登录Cookie刷新时间
        self.qr_cookie_refresh_cooldown = 600  # 扫码登录Cookie刷新后的冷却时间：10分钟

        # 消息接收标识 - 用于控制Cookie刷新
        self.last_message_received_time = 0  # 记录上次收到消息的时间
        self.message_cookie_refresh_cooldown = 300  # 收到消息后5分钟内不执行Cookie刷新

        # 浏览器Cookie刷新成功标志
        self.browser_cookie_refreshed = False  # 标记_refresh_cookies_via_browser是否成功更新过数据库
        self.restarted_in_browser_refresh = False  # 刷新流程内部是否已触发重启（用于去重）


        # 滑块验证相关
        self.captcha_verification_count = 0  # 滑块验证次数计数器
        self.max_captcha_verification_count = 3  # 最大滑块验证次数，防止无限递归

        # WebSocket连接监控
        self.connection_state = ConnectionState.DISCONNECTED  # 连接状态
        self.connection_failures = 0  # 连续连接失败次数
        self.max_connection_failures = 5  # 最大连续失败次数
        self.last_successful_connection = 0  # 上次成功连接时间
        self.last_state_change_time = time.time()  # 上次状态变化时间

        # 后台任务追踪（用于清理未等待的任务）
        self.background_tasks = set()  # 追踪所有后台任务
        
        # 消息处理并发控制（防止内存泄漏）
        self.message_semaphore = asyncio.Semaphore(100)  # 最多100个并发消息处理任务
        self.active_message_tasks = 0  # 当前活跃的消息处理任务数

        # 消息防抖管理器：用于处理用户连续发送消息的情况
        # {chat_id: {'task': asyncio.Task, 'last_message': dict, 'timer': float}}
        self.message_debounce_tasks = {}  # 存储每个chat_id的防抖任务
        self.message_debounce_delay = 1  # 防抖延迟时间（秒）：用户停止发送消息1秒后才回复
        self.message_debounce_lock = asyncio.Lock()  # 防抖任务管理的锁
        
        # 消息去重机制：防止同一条消息被处理多次
        self.processed_message_ids = {}  # 存储已处理的消息ID和时间戳 {message_id: timestamp}
        self.processed_message_ids_lock = asyncio.Lock()  # 消息ID去重的锁
        self.processed_message_ids_max_size = 10000  # 最大保存10000个消息ID，防止内存泄漏
        self.message_expire_time = 3600  # 消息过期时间（秒），默认1小时后可以重复回复

        # 初始化订单状态处理器
        self._init_order_status_handler()

        # 注册实例到类级别字典（用于API调用）
        self._register_instance()

    def _init_order_status_handler(self):
        """初始化订单状态处理器"""
        try:
            # 直接导入订单状态处理器
            from order_status_handler import order_status_handler
            self.order_status_handler = order_status_handler
            logger.info(f"【{self.cookie_id}】订单状态处理器已启用")
        except Exception as e:
            logger.error(f"【{self.cookie_id}】初始化订单状态处理器失败: {self._safe_str(e)}")
            self.order_status_handler = None

    def _register_instance(self):
        """注册当前实例到类级别字典"""
        try:
            # 使用同步方式注册，避免在__init__中使用async
            XianyuLive._instances[self.cookie_id] = self
            logger.warning(f"【{self.cookie_id}】实例已注册到全局字典")
        except Exception as e:
            logger.error(f"【{self.cookie_id}】注册实例失败: {self._safe_str(e)}")

    def _unregister_instance(self):
        """从类级别字典中注销当前实例"""
        try:
            if self.cookie_id in XianyuLive._instances:
                del XianyuLive._instances[self.cookie_id]
                logger.warning(f"【{self.cookie_id}】实例已从全局字典中注销")
        except Exception as e:
            logger.error(f"【{self.cookie_id}】注销实例失败: {self._safe_str(e)}")

    @classmethod
    def get_instance(cls, cookie_id: str):
        """获取指定cookie_id的XianyuLive实例"""
        return cls._instances.get(cookie_id)

    @classmethod
    def get_all_instances(cls):
        """获取所有活跃的XianyuLive实例"""
        return dict(cls._instances)

    @classmethod
    def get_instance_count(cls):
        """获取当前活跃实例数量"""
        return len(cls._instances)
    
    def _create_tracked_task(self, coro):
        """创建并追踪后台任务，确保异常不会被静默忽略"""
        task = asyncio.create_task(coro)
        self.background_tasks.add(task)
        task.add_done_callback(self.background_tasks.discard)
        return task

    def is_auto_confirm_enabled(self) -> bool:
        """检查当前账号是否启用自动确认发货"""
        try:
            from db_manager import db_manager
            return db_manager.get_auto_confirm(self.cookie_id)
        except Exception as e:
            logger.error(f"【{self.cookie_id}】获取自动确认发货设置失败: {self._safe_str(e)}")
            return True  # 出错时默认启用



    def can_auto_delivery(self, order_id: str) -> bool:
        """检查是否可以进行自动发货（防重复发货）- 基于订单ID"""
        if not order_id:
            # 如果没有订单ID，则不进行冷却检查，允许发货
            return True

        current_time = time.time()
        last_delivery = self.last_delivery_time.get(order_id, 0)

        if current_time - last_delivery < self.delivery_cooldown:
            logger.info(f"【{self.cookie_id}】订单 {order_id} 在冷却期内，跳过自动发货")
            return False

        return True

    def mark_delivery_sent(self, order_id: str):
        """标记订单已发货"""
        current_time = time.time()
        self.delivery_sent_orders[order_id] = current_time
        # 同步更新冷却时间记录，避免重复发货
        self.last_delivery_time[order_id] = current_time
        logger.info(f"【{self.cookie_id}】订单 {order_id} 已标记为发货")
        
        # 更新订单状态为已发货
        logger.info(f"【{self.cookie_id}】检查自动发货订单状态处理器: handler_exists={self.order_status_handler is not None}")
        if self.order_status_handler:
            logger.info(f"【{self.cookie_id}】准备调用订单状态处理器.handle_auto_delivery_order_status: {order_id}")
            try:
                success = self.order_status_handler.handle_auto_delivery_order_status(
                    order_id=order_id,
                    cookie_id=self.cookie_id,
                    context="自动发货完成"
                )
                logger.info(f"【{self.cookie_id}】订单状态处理器.handle_auto_delivery_order_status返回结果: {success}")
                if success:
                    logger.info(f"【{self.cookie_id}】订单 {order_id} 状态已更新为已发货")
                else:
                    logger.warning(f"【{self.cookie_id}】订单 {order_id} 状态更新为已发货失败")
            except Exception as e:
                logger.error(f"【{self.cookie_id}】订单状态更新失败: {self._safe_str(e)}")
                import traceback
                logger.error(f"【{self.cookie_id}】详细错误信息: {traceback.format_exc()}")
        else:
            logger.warning(f"【{self.cookie_id}】订单状态处理器为None，跳过自动发货状态更新: {order_id}")

    async def _delayed_lock_release(self, lock_key: str, delay_minutes: int = 10):
        """
        延迟释放锁的异步任务

        Args:
            lock_key: 锁的键
            delay_minutes: 延迟时间（分钟），默认10分钟
        """
        try:
            delay_seconds = delay_minutes * 60
            logger.info(f"【{self.cookie_id}】订单锁 {lock_key} 将在 {delay_minutes} 分钟后释放")

            # 等待指定时间
            await asyncio.sleep(delay_seconds)

            # 检查锁是否仍然存在且需要释放
            lock_info = self._lock_hold_info.get(lock_key)
            if lock_info:
                current_task = asyncio.current_task()
                lock_task = lock_info.get('task')
                if lock_task is not None and lock_task is not current_task:
                    logger.info(f"【{self.cookie_id}】订单锁 {lock_key} 延迟释放被新任务接管，跳过清理")
                    return

                if lock_info.get('locked', False):
                    # 释放锁
                    lock_info['locked'] = False
                    lock_info['release_time'] = time.time()
                    logger.info(f"【{self.cookie_id}】订单锁 {lock_key} 延迟释放完成")

                # 清理锁信息与关联结构，避免内存增长
                lock_info['task'] = None
                self._lock_hold_info.pop(lock_key, None)
                self._lock_usage_times.pop(lock_key, None)
                order_lock = self._order_locks.get(lock_key)
                if order_lock and not order_lock.locked():
                    self._order_locks.pop(lock_key, None)

        except asyncio.CancelledError:
            logger.info(f"【{self.cookie_id}】订单锁 {lock_key} 延迟释放任务被取消")
            raise
        except Exception as e:
            logger.error(f"【{self.cookie_id}】订单锁 {lock_key} 延迟释放失败: {self._safe_str(e)}")

    def is_lock_held(self, lock_key: str) -> bool:
        """
        检查指定的锁是否仍在持有状态

        Args:
            lock_key: 锁的键

        Returns:
            bool: True表示锁仍在持有，False表示锁已释放或不存在
        """
        if lock_key not in self._lock_hold_info:
            return False

        lock_info = self._lock_hold_info[lock_key]
        return lock_info.get('locked', False)

    def cleanup_expired_locks(self, max_age_hours: int = 24):
        """
        清理过期的锁（包括自动发货锁和订单详情锁）

        Args:
            max_age_hours: 锁的最大保留时间（小时），默认24小时
        """
        try:
            current_time = time.time()
            max_age_seconds = max_age_hours * 3600

            # 清理自动发货锁
            expired_delivery_locks = []
            for order_id, last_used in self._lock_usage_times.items():
                if current_time - last_used > max_age_seconds:
                    expired_delivery_locks.append(order_id)

            # 清理过期的自动发货锁
            for order_id in expired_delivery_locks:
                if order_id in self._order_locks:
                    del self._order_locks[order_id]
                if order_id in self._lock_usage_times:
                    del self._lock_usage_times[order_id]
                # 清理锁持有信息
                if order_id in self._lock_hold_info:
                    lock_info = self._lock_hold_info[order_id]
                    # 取消延迟释放任务
                    if 'task' in lock_info and lock_info['task']:
                        lock_info['task'].cancel()
                    del self._lock_hold_info[order_id]

            # 清理订单详情锁
            expired_detail_locks = []
            for order_id, last_used in self._order_detail_lock_times.items():
                if current_time - last_used > max_age_seconds:
                    expired_detail_locks.append(order_id)

            # 清理过期的订单详情锁
            for order_id in expired_detail_locks:
                if order_id in self._order_detail_locks:
                    del self._order_detail_locks[order_id]
                if order_id in self._order_detail_lock_times:
                    del self._order_detail_lock_times[order_id]

            total_expired = len(expired_delivery_locks) + len(expired_detail_locks)
            if total_expired > 0:
                logger.info(f"【{self.cookie_id}】清理了 {total_expired} 个过期锁 (发货锁: {len(expired_delivery_locks)}, 详情锁: {len(expired_detail_locks)})")
                logger.warning(f"【{self.cookie_id}】当前锁数量 - 发货锁: {len(self._order_locks)}, 详情锁: {len(self._order_detail_locks)}")

        except Exception as e:
            logger.error(f"【{self.cookie_id}】清理过期锁时发生错误: {self._safe_str(e)}")

    

    def _is_auto_delivery_trigger(self, message: str) -> bool:
        """检查消息是否为自动发货触发关键字"""
        # 定义所有自动发货触发关键字
        auto_delivery_keywords = [
            # 系统消息
            '[我已付款，等待你发货]',
            '[已付款，待发货]',
            '我已付款，等待你发货',
            '[记得及时发货]',
        ]

        # 检查消息是否包含任何触发关键字
        for keyword in auto_delivery_keywords:
            if keyword in message:
                return True

        return False

    def _extract_order_id(self, message: dict) -> str:
        """从消息中提取订单ID"""
        try:
            order_id = None

            # 先查看消息的完整结构
            logger.warning(f"【{self.cookie_id}】🔍 完整消息结构: {message}")

            # 检查message['1']的结构，处理可能是列表、字典或字符串的情况
            message_1 = message.get('1', {})
            content_json_str = ''

            if isinstance(message_1, dict):
                logger.warning(f"【{self.cookie_id}】🔍 message['1'] 是字典，keys: {list(message_1.keys())}")

                # 检查message['1']['6']的结构
                message_1_6 = message_1.get('6', {})
                if isinstance(message_1_6, dict):
                    logger.warning(f"【{self.cookie_id}】🔍 message['1']['6'] 是字典，keys: {list(message_1_6.keys())}")
                    # 方法1: 从button的targetUrl中提取orderId
                    content_json_str = message_1_6.get('3', {}).get('5', '') if isinstance(message_1_6.get('3', {}), dict) else ''
                else:
                    logger.warning(f"【{self.cookie_id}】🔍 message['1']['6'] 不是字典: {type(message_1_6)}")

            elif isinstance(message_1, list):
                logger.warning(f"【{self.cookie_id}】🔍 message['1'] 是列表，长度: {len(message_1)}")
                # 如果message['1']是列表，跳过这种提取方式

            elif isinstance(message_1, str):
                logger.warning(f"【{self.cookie_id}】🔍 message['1'] 是字符串，长度: {len(message_1)}")
                # 如果message['1']是字符串，跳过这种提取方式

            else:
                logger.warning(f"【{self.cookie_id}】🔍 message['1'] 未知类型: {type(message_1)}")
                # 其他类型，跳过这种提取方式

            if content_json_str:
                try:
                    content_data = json.loads(content_json_str)

                    # 方法1a: 从button的targetUrl中提取orderId
                    target_url = content_data.get('dxCard', {}).get('item', {}).get('main', {}).get('exContent', {}).get('button', {}).get('targetUrl', '')
                    if target_url:
                        # 从URL中提取orderId参数
                        order_match = re.search(r'orderId=(\d+)', target_url)
                        if order_match:
                            order_id = order_match.group(1)
                            logger.info(f'【{self.cookie_id}】✅ 从button提取到订单ID: {order_id}')

                    # 方法1b: 从main的targetUrl中提取order_detail的id
                    if not order_id:
                        main_target_url = content_data.get('dxCard', {}).get('item', {}).get('main', {}).get('targetUrl', '')
                        if main_target_url:
                            order_match = re.search(r'order_detail\?id=(\d+)', main_target_url)
                            if order_match:
                                order_id = order_match.group(1)
                                logger.info(f'【{self.cookie_id}】✅ 从main targetUrl提取到订单ID: {order_id}')

                except Exception as parse_e:
                    logger.warning(f"解析内容JSON失败: {parse_e}")

            # 方法2: 从dynamicOperation中的order_detail URL提取orderId
            if not order_id and content_json_str:
                try:
                    content_data = json.loads(content_json_str)
                    dynamic_target_url = content_data.get('dynamicOperation', {}).get('changeContent', {}).get('dxCard', {}).get('item', {}).get('main', {}).get('exContent', {}).get('button', {}).get('targetUrl', '')
                    if dynamic_target_url:
                        # 从order_detail URL中提取id参数
                        order_match = re.search(r'order_detail\?id=(\d+)', dynamic_target_url)
                        if order_match:
                            order_id = order_match.group(1)
                            logger.info(f'【{self.cookie_id}】✅ 从order_detail提取到订单ID: {order_id}')
                except Exception as parse_e:
                    logger.warning(f"解析dynamicOperation JSON失败: {parse_e}")

            # 方法3: 如果前面的方法都失败，尝试在整个消息中搜索订单ID模式
            if not order_id:
                try:
                    # 将整个消息转换为字符串进行搜索
                    message_str = str(message)

                    # 搜索各种可能的订单ID模式
                    patterns = [
                        r'orderId[=:](\d{10,})',  # orderId=123456789 或 orderId:123456789
                        r'order_detail\?id=(\d{10,})',  # order_detail?id=123456789
                        r'"id"\s*:\s*"?(\d{10,})"?',  # "id":"123456789" 或 "id":123456789
                        r'bizOrderId[=:](\d{10,})',  # bizOrderId=123456789
                    ]

                    for pattern in patterns:
                        matches = re.findall(pattern, message_str)
                        if matches:
                            # 取第一个匹配的订单ID
                            order_id = matches[0]
                            logger.info(f'【{self.cookie_id}】✅ 从消息字符串中提取到订单ID: {order_id} (模式: {pattern})')
                            break

                except Exception as search_e:
                    logger.warning(f"在消息字符串中搜索订单ID失败: {search_e}")

            if order_id:
                logger.info(f'【{self.cookie_id}】🎯 最终提取到订单ID: {order_id}')
            else:
                logger.warning(f'【{self.cookie_id}】❌ 未能从消息中提取到订单ID')

            return order_id

        except Exception as e:
            logger.error(f"【{self.cookie_id}】提取订单ID失败: {self._safe_str(e)}")
            return None

    async def _handle_auto_delivery(self, websocket, message: dict, send_user_name: str, send_user_id: str,
                                   item_id: str, chat_id: str, msg_time: str):
        """统一处理自动发货逻辑"""
        try:
            # 检查商品是否属于当前cookies
            if item_id and item_id != "未知商品":
                try:
                    from db_manager import db_manager
                    item_info = db_manager.get_item_info(self.cookie_id, item_id)
                    if not item_info:
                        logger.warning(f'[{msg_time}] 【{self.cookie_id}】❌ 商品 {item_id} 不属于当前账号，跳过自动发货')
                        return
                    logger.warning(f'[{msg_time}] 【{self.cookie_id}】✅ 商品 {item_id} 归属验证通过')
                except Exception as e:
                    logger.error(f'[{msg_time}] 【{self.cookie_id}】检查商品归属失败: {self._safe_str(e)}，跳过自动发货')
                    return

            # 提取订单ID
            order_id = self._extract_order_id(message)

            # 如果order_id不存在，直接返回
            if not order_id:
                logger.warning(f'[{msg_time}] 【{self.cookie_id}】❌ 未能提取到订单ID，跳过自动发货')
                return

            # 订单ID已提取，将在自动发货时进行确认发货处理
            logger.info(f'[{msg_time}] 【{self.cookie_id}】提取到订单ID: {order_id}，将在自动发货时处理确认发货')

            # 使用订单ID作为锁的键
            lock_key = order_id

            # 第一重检查：延迟锁状态（在获取锁之前检查，避免不必要的等待）
            if self.is_lock_held(lock_key):
                logger.info(f'[{msg_time}] 【{self.cookie_id}】🔒【提前检查】订单 {lock_key} 延迟锁仍在持有状态，跳过发货')
                return

            # 第二重检查：基于时间的冷却机制
            if not self.can_auto_delivery(order_id):
                logger.info(f'[{msg_time}] 【{self.cookie_id}】订单 {order_id} 在冷却期内，跳过发货')
                return

            # 获取或创建该订单的锁
            order_lock = self._order_locks[lock_key]

            # 更新锁的使用时间
            self._lock_usage_times[lock_key] = time.time()

            # 使用异步锁防止同一订单的并发处理
            async with order_lock:
                logger.info(f'[{msg_time}] 【{self.cookie_id}】获取订单锁成功: {lock_key}，开始处理自动发货')

                # 第三重检查：获取锁后再次检查延迟锁状态（双重检查，防止在等待锁期间状态发生变化）
                if self.is_lock_held(lock_key):
                    logger.info(f'[{msg_time}] 【{self.cookie_id}】订单 {lock_key} 在获取锁后检查发现延迟锁仍持有，跳过发货')
                    return

                # 第四重检查：获取锁后再次检查冷却状态
                if not self.can_auto_delivery(order_id):
                    logger.info(f'[{msg_time}] 【{self.cookie_id}】订单 {order_id} 在获取锁后检查发现仍在冷却期，跳过发货')
                    return

                # 构造用户URL
                user_url = f'https://www.goofish.com/personal?userId={send_user_id}'

                # 自动发货逻辑
                try:
                    # 设置默认标题（将通过API获取真实商品信息）
                    item_title = "待获取商品信息"

                    logger.info(f"【{self.cookie_id}】准备自动发货: item_id={item_id}, item_title={item_title}")

                    # 检查是否需要多数量发货
                    from db_manager import db_manager
                    quantity_to_send = 1  # 默认发送1个

                    # 检查商品是否开启了多数量发货
                    multi_quantity_delivery = db_manager.get_item_multi_quantity_delivery_status(self.cookie_id, item_id)

                    if multi_quantity_delivery and order_id:
                        logger.info(f"商品 {item_id} 开启了多数量发货，获取订单详情...")
                        try:
                            # 使用现有方法获取订单详情
                            order_detail = await self.fetch_order_detail_info(order_id, item_id, send_user_id)
                            if order_detail and order_detail.get('quantity'):
                                try:
                                    order_quantity = int(order_detail['quantity'])
                                    if order_quantity > 1:
                                        quantity_to_send = order_quantity
                                        logger.info(f"从订单详情获取数量: {order_quantity}，将发送 {quantity_to_send} 个卡券")
                                    else:
                                        logger.info(f"订单数量为 {order_quantity}，发送单个卡券")
                                except (ValueError, TypeError):
                                    logger.warning(f"订单数量格式无效: {order_detail.get('quantity')}，发送单个卡券")
                            else:
                                logger.info(f"未获取到订单数量信息，发送单个卡券")
                        except Exception as e:
                            logger.error(f"获取订单详情失败: {self._safe_str(e)}，发送单个卡券")
                    elif not multi_quantity_delivery:
                        logger.info(f"商品 {item_id} 未开启多数量发货，发送单个卡券")
                    else:
                        logger.info(f"无订单ID，发送单个卡券")

                    # 多次调用自动发货方法，每次获取不同的内容
                    delivery_contents = []
                    success_count = 0

                    for i in range(quantity_to_send):
                        try:
                            # 每次调用都可能获取不同的内容（API卡券、批量数据等）
                            delivery_content = await self._auto_delivery(item_id, item_title, order_id, send_user_id)
                            if delivery_content:
                                delivery_contents.append(delivery_content)
                                success_count += 1
                                if quantity_to_send > 1:
                                    logger.info(f"第 {i+1}/{quantity_to_send} 个卡券内容获取成功")
                            else:
                                logger.warning(f"第 {i+1}/{quantity_to_send} 个卡券内容获取失败")
                        except Exception as e:
                            logger.error(f"第 {i+1}/{quantity_to_send} 个卡券获取异常: {self._safe_str(e)}")

                    if delivery_contents:
                        # 标记已发货（防重复）- 基于订单ID
                        self.mark_delivery_sent(order_id)

                        # 标记锁为持有状态，并启动延迟释放任务
                        self._lock_hold_info[lock_key] = {
                            'locked': True,
                            'lock_time': time.time(),
                            'release_time': None,
                            'task': None
                        }

                        # 启动延迟释放锁的异步任务（10分钟后释放）
                        delay_task = asyncio.create_task(self._delayed_lock_release(lock_key, delay_minutes=10))
                        self._lock_hold_info[lock_key]['task'] = delay_task

                        # 发送所有获取到的发货内容
                        for i, delivery_content in enumerate(delivery_contents):
                            try:
                                # 检查是否是图片发送标记
                                if delivery_content.startswith("__IMAGE_SEND__"):
                                    # 提取卡券ID和图片URL
                                    image_data = delivery_content.replace("__IMAGE_SEND__", "")
                                    if "|" in image_data:
                                        card_id_str, image_url = image_data.split("|", 1)
                                        try:
                                            card_id = int(card_id_str)
                                        except ValueError:
                                            logger.error(f"无效的卡券ID: {card_id_str}")
                                            card_id = None
                                    else:
                                        # 兼容旧格式（没有卡券ID）
                                        card_id = None
                                        image_url = image_data

                                    # 发送图片消息
                                    await self.send_image_msg(websocket, chat_id, send_user_id, image_url, card_id=card_id)
                                    if len(delivery_contents) > 1:
                                        logger.info(f'[{msg_time}] 【多数量自动发货图片】第 {i+1}/{len(delivery_contents)} 张已向 {user_url} 发送图片: {image_url}')
                                    else:
                                        logger.info(f'[{msg_time}] 【自动发货图片】已向 {user_url} 发送图片: {image_url}')

                                    # 多数量发货时，消息间隔1秒
                                    if len(delivery_contents) > 1 and i < len(delivery_contents) - 1:
                                        await asyncio.sleep(1)

                                else:
                                    # 普通文本发货内容
                                    await self.send_msg(websocket, chat_id, send_user_id, delivery_content)
                                    if len(delivery_contents) > 1:
                                        logger.info(f'[{msg_time}] 【多数量自动发货】第 {i+1}/{len(delivery_contents)} 条已向 {user_url} 发送发货内容')
                                    else:
                                        logger.info(f'[{msg_time}] 【自动发货】已向 {user_url} 发送发货内容')

                                    # 多数量发货时，消息间隔1秒
                                    if len(delivery_contents) > 1 and i < len(delivery_contents) - 1:
                                        await asyncio.sleep(1)

                            except Exception as e:
                                logger.error(f"发送第 {i+1} 条消息失败: {self._safe_str(e)}")

                        # 发送成功通知
                        if len(delivery_contents) > 1:
                            await self.send_delivery_failure_notification(send_user_name, send_user_id, item_id, f"多数量发货成功，共发送 {len(delivery_contents)} 个卡券", chat_id)
                        else:
                            await self.send_delivery_failure_notification(send_user_name, send_user_id, item_id, "发货成功", chat_id)
                    else:
                        logger.warning(f'[{msg_time}] 【自动发货】未找到匹配的发货规则或获取发货内容失败')
                        # 发送自动发货失败通知
                        await self.send_delivery_failure_notification(send_user_name, send_user_id, item_id, "未找到匹配的发货规则或获取发货内容失败", chat_id)

                except Exception as e:
                    logger.error(f"自动发货处理异常: {self._safe_str(e)}")
                    # 发送自动发货异常通知
                    await self.send_delivery_failure_notification(send_user_name, send_user_id, item_id, f"自动发货处理异常: {str(e)}", chat_id)

                logger.info(f'[{msg_time}] 【{self.cookie_id}】订单锁释放: {lock_key}，自动发货处理完成')

        except Exception as e:
            logger.error(f"统一自动发货处理异常: {self._safe_str(e)}")



    async def refresh_token(self, captcha_retry_count: int = 0):
        """刷新token

        Args:
            captcha_retry_count: 滑块验证重试次数，用于防止无限递归
        """
        # 初始化通知发送标志，避免重复发送通知
        notification_sent = False
        
        try:
            logger.info(f"【{self.cookie_id}】开始刷新token... (滑块验证重试次数: {captcha_retry_count})")
            # 标记本次刷新状态
            self.last_token_refresh_status = "started"
            # 重置“刷新流程内已重启”标记，避免多次重启
            self.restarted_in_browser_refresh = False

            # 检查滑块验证重试次数，防止无限递归
            if captcha_retry_count >= self.max_captcha_verification_count:
                logger.error(f"【{self.cookie_id}】滑块验证重试次数已达上限 ({self.max_captcha_verification_count})，停止重试")
                await self.send_token_refresh_notification(
                    f"滑块验证重试次数已达上限，请手动处理",
                    "captcha_max_retries_exceeded"
                )
                notification_sent = True
                return None

            # 【消息接收检查】检查是否在消息接收后的冷却时间内，与 cookie_refresh_loop 保持一致
            current_time = time.time()
            time_since_last_message = current_time - self.last_message_received_time
            if self.last_message_received_time > 0 and time_since_last_message < self.message_cookie_refresh_cooldown:
                remaining_time = self.message_cookie_refresh_cooldown - time_since_last_message
                remaining_minutes = int(remaining_time // 60)
                remaining_seconds = int(remaining_time % 60)
                logger.info(f"【{self.cookie_id}】收到消息后冷却中，放弃本次token刷新，还需等待 {remaining_minutes}分{remaining_seconds}秒")
                # 标记为因冷却而跳过（正常情况）
                self.last_token_refresh_status = "skipped_cooldown"
                return None

            # 【重要】在刷新token前，先从数据库重新加载最新的cookie
            # 这样即使用户已经手动更新了cookie，代码也会使用最新的cookie
            logger.info(f"【{self.cookie_id}】开始执行Cookie刷新任务...")
            # await self._execute_cookie_refresh(time.time())
            try:
                from db_manager import db_manager
                account_info = db_manager.get_cookie_details(self.cookie_id)
                if account_info and account_info.get('cookie_value'):
                    new_cookies_str = account_info.get('cookie_value')
                    if new_cookies_str != self.cookies_str:
                        logger.info(f"【{self.cookie_id}】检测到数据库中的cookie已更新，重新加载cookie")
                        self.cookies_str = new_cookies_str
                        # 更新cookies字典
                        self.cookies = trans_cookies(self.cookies_str)
                        logger.warning(f"【{self.cookie_id}】Cookie已从数据库重新加载")
            except Exception as reload_e:
                logger.warning(f"【{self.cookie_id}】从数据库重新加载cookie失败，继续使用当前cookie: {self._safe_str(reload_e)}")

            # 生成更精确的时间戳
            timestamp = str(int(time.time() * 1000))

            params = {
                'jsv': '2.7.2',
                'appKey': '34839810',
                't': timestamp,
                'sign': '',
                'v': '1.0',
                'type': 'originaljson',
                'accountSite': 'xianyu',
                'dataType': 'json',
                'timeout': '20000',
                'api': 'mtop.taobao.idlemessage.pc.login.token',
                'sessionOption': 'AutoLoginOnly',
                'dangerouslySetWindvaneParams': '%5Bobject%20Object%5D',
                'smToken': 'token',
                'queryToken': 'sm',
                'sm': 'sm',
                'spm_cnt': 'a21ybx.im.0.0',
                'spm_pre': 'a21ybx.home.sidebar.1.4c053da6vYwnmf',
                'log_id': '4c053da6vYwnmf'
            }
            data_val = '{"appKey":"444e9908a51d1cb236a27862abc769c9","deviceId":"' + self.device_id + '"}'
            data = {
                'data': data_val,
            }

            # 获取token
            token = None
            token = trans_cookies(self.cookies_str).get('_m_h5_tk', '').split('_')[0] if trans_cookies(self.cookies_str).get('_m_h5_tk') else ''

            sign = generate_sign(params['t'], token, data_val)
            params['sign'] = sign

            # 发送请求 - 使用与浏览器完全一致的请求头
            headers = {
                'accept': 'application/json',
                'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8',
                'cache-control': 'no-cache',
                'content-type': 'application/x-www-form-urlencoded',
                'pragma': 'no-cache',
                'priority': 'u=1, i',
                'sec-ch-ua': '"Not;A=Brand";v="99", "Google Chrome";v="139", "Chromium";v="139"',
                'sec-ch-ua-mobile': '?0',
                'sec-ch-ua-platform': '"Windows"',
                'sec-fetch-dest': 'empty',
                'sec-fetch-mode': 'cors',
                'sec-fetch-site': 'same-site',
                'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36',
                'referer': 'https://www.goofish.com/',
                'origin': 'https://www.goofish.com',
                'cookie': self.cookies_str
            }

            # 打印所有请求参数（用于调试）
            api_url = API_ENDPOINTS.get('token')
            logger.info(f"【{self.cookie_id}】========== Token刷新API调用详情 ==========")
            logger.info(f"【{self.cookie_id}】API端点: {api_url}")
            logger.info(f"【{self.cookie_id}】请求方法: POST")
            logger.info(f"【{self.cookie_id}】")
            logger.info(f"【{self.cookie_id}】--- URL参数 (params) ---")
            for key, value in sorted(params.items()):
                # 对于敏感信息，只显示部分
                if key == 'sign':
                    logger.info(f"【{self.cookie_id}】  {key}: {value[:20]}...{value[-10:] if len(value) > 30 else value} (长度: {len(value)})")
                else:
                    logger.info(f"【{self.cookie_id}】  {key}: {value}")
            logger.info(f"【{self.cookie_id}】")
            logger.info(f"【{self.cookie_id}】--- 请求体 (data) ---")
            logger.info(f"【{self.cookie_id}】  data: {data_val}")
            logger.info(f"【{self.cookie_id}】")
            logger.info(f"【{self.cookie_id}】--- 签名计算信息 ---")
            logger.info(f"【{self.cookie_id}】  token (从_m_h5_tk提取): {token[:20]}...{token[-10:] if len(token) > 30 else token} (长度: {len(token)})")
            logger.info(f"【{self.cookie_id}】  timestamp (t): {params['t']}")
            logger.info(f"【{self.cookie_id}】  app_key: 34839810")
            logger.info(f"【{self.cookie_id}】  data_val: {data_val}")
            logger.info(f"【{self.cookie_id}】  计算签名: MD5({token}&{params['t']}&34839810&{data_val})")
            logger.info(f"【{self.cookie_id}】  最终签名: {sign}")
            logger.info(f"【{self.cookie_id}】")
            logger.info(f"【{self.cookie_id}】--- 请求头 (headers) ---")
            for key, value in sorted(headers.items()):
                if key == 'cookie':
                    # Cookie很长，只显示关键信息
                    cookie_dict = trans_cookies(self.cookies_str)
                    logger.info(f"【{self.cookie_id}】  {key}: [Cookie字符串，长度: {len(value)}]")
                    logger.info(f"【{self.cookie_id}】    Cookie字段数: {len(cookie_dict)}")
                    logger.info(f"【{self.cookie_id}】    关键字段:")
                    important_keys = ['unb', '_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie']
                    for k in important_keys:
                        if k in cookie_dict:
                            val = cookie_dict[k]
                            if len(val) > 50:
                                logger.info(f"【{self.cookie_id}】      {k}: {val[:30]}...{val[-20:]} (长度: {len(val)})")
                            else:
                                logger.info(f"【{self.cookie_id}】      {k}: {val}")
                else:
                    logger.info(f"【{self.cookie_id}】  {key}: {value}")
            logger.info(f"【{self.cookie_id}】")
            logger.info(f"【{self.cookie_id}】--- 其他信息 ---")
            logger.info(f"【{self.cookie_id}】  device_id: {self.device_id}")
            logger.info(f"【{self.cookie_id}】  myid (unb): {self.myid}")
            logger.info(f"【{self.cookie_id}】  完整Cookie字符串长度: {len(self.cookies_str)}")
            logger.info(f"【{self.cookie_id}】==========================================")

            async with aiohttp.ClientSession() as session:
                async with session.post(
                    api_url,
                    params=params,
                    data=data,
                    headers=headers,
                    timeout=aiohttp.ClientTimeout(total=30)
                ) as response:
                    # 打印响应信息
                    logger.info(f"【{self.cookie_id}】--- API响应信息 ---")
                    logger.info(f"【{self.cookie_id}】  状态码: {response.status}")
                    logger.info(f"【{self.cookie_id}】  响应头: {dict(response.headers)}")
                    
                    res_json = await response.json()
                    logger.info(f"【{self.cookie_id}】  响应内容: {json.dumps(res_json, ensure_ascii=False, indent=2)}")
                    logger.info(f"【{self.cookie_id}】================================")

                    # 检查并更新Cookie
                    if 'set-cookie' in response.headers:
                        new_cookies = {}
                        for cookie in response.headers.getall('set-cookie', []):
                            if '=' in cookie:
                                name, value = cookie.split(';')[0].split('=', 1)
                                new_cookies[name.strip()] = value.strip()

                        # 更新cookies
                        if new_cookies:
                            self.cookies.update(new_cookies)
                            # 生成新的cookie字符串
                            self.cookies_str = '; '.join([f"{k}={v}" for k, v in self.cookies.items()])
                            # 更新数据库中的Cookie
                            await self.update_config_cookies()
                            logger.warning("已更新Cookie到数据库")

                    if isinstance(res_json, dict):
                        ret_value = res_json.get('ret', [])
                        # 检查ret是否包含成功信息
                        if any('SUCCESS::调用成功' in ret for ret in ret_value):
                            if 'data' in res_json and 'accessToken' in res_json['data']:
                                new_token = res_json['data']['accessToken']
                                self.current_token = new_token
                                self.last_token_refresh_time = time.time()

                                # 【消息接收时间重置】Token刷新成功后重置消息接收标志，与 cookie_refresh_loop 保持一致
                                self.last_message_received_time = 0
                                logger.warning(f"【{self.cookie_id}】Token刷新成功，已重置消息接收时间标识")

                                logger.info(f"【{self.cookie_id}】Token刷新成功")
                                # 标记为成功
                                self.last_token_refresh_status = "success"
                                return new_token

                    # 检查是否需要滑块验证
                    if self._need_captcha_verification(res_json):
                        logger.warning(f"【{self.cookie_id}】检测到需要滑块验证，开始处理...")

                        # 记录滑块验证检测到日志文件
                        verification_url = res_json.get('data', {}).get('url', 'Token刷新时检测')
                        log_captcha_event(self.cookie_id, "检测到滑块验证", None, f"触发场景: Token刷新, URL: {verification_url}")

                        # 添加风控日志记录
                        log_id = None
                        try:
                            from db_manager import db_manager
                            success = db_manager.add_risk_control_log(
                                cookie_id=self.cookie_id,
                                event_type='slider_captcha',
                                event_description=f"检测到需要滑块验证，触发场景: Token刷新, URL: {verification_url}",
                                processing_status='processing'
                            )
                            if success:
                                # 获取刚插入的记录ID（简单方式，实际应该返回ID）
                                logs = db_manager.get_risk_control_logs(cookie_id=self.cookie_id, limit=1)
                                if logs:
                                    log_id = logs[0].get('id')
                                logger.info(f"【{self.cookie_id}】风控日志记录成功，ID: {log_id}")
                        except Exception as log_e:
                            logger.error(f"【{self.cookie_id}】记录风控日志失败: {log_e}")

                        try:
                            # 尝试通过滑块验证获取新的cookies
                            captcha_start_time = time.time()
                            new_cookies_str = await self._handle_captcha_verification(res_json)
                            captcha_duration = time.time() - captcha_start_time

                            if new_cookies_str:
                                logger.info(f"【{self.cookie_id}】滑块验证成功，准备重启实例...")

                                # 更新风控日志为成功状态
                                if 'log_id' in locals() and log_id:
                                    try:
                                        from db_manager import db_manager
                                        db_manager.update_risk_control_log(
                                            log_id=log_id,
                                            processing_result=f"滑块验证成功，耗时: {captcha_duration:.2f}秒, cookies长度: {len(new_cookies_str)}",
                                            processing_status='success'
                                        )
                                    except Exception as update_e:
                                        logger.error(f"【{self.cookie_id}】更新风控日志失败: {update_e}")

                                # 重启实例（cookies已在_handle_captcha_verification中更新到数据库）
                                # await self._restart_instance()
                                
                                # 重新尝试刷新token（递归调用，但有深度限制）
                                return await self.refresh_token(captcha_retry_count + 1)
                            else:
                                logger.error(f"【{self.cookie_id}】滑块验证失败")

                                # 更新风控日志为失败状态
                                if 'log_id' in locals() and log_id:
                                    try:
                                        from db_manager import db_manager
                                        db_manager.update_risk_control_log(
                                            log_id=log_id,
                                            processing_result=f"滑块验证失败，耗时: {captcha_duration:.2f}秒, 原因: 未获取到新cookies",
                                            processing_status='failed'
                                        )
                                    except Exception as update_e:
                                        logger.error(f"【{self.cookie_id}】更新风控日志失败: {update_e}")
                                
                                # 标记已发送通知（通知已在_handle_captcha_verification中发送）
                                notification_sent = True
                        except Exception as captcha_e:
                            logger.error(f"【{self.cookie_id}】滑块验证处理异常: {self._safe_str(captcha_e)}")

                            # 更新风控日志为异常状态
                            captcha_duration = time.time() - captcha_start_time if 'captcha_start_time' in locals() else 0
                            if 'log_id' in locals() and log_id:
                                try:
                                    from db_manager import db_manager
                                    db_manager.update_risk_control_log(
                                        log_id=log_id,
                                        processing_result=f"滑块验证处理异常，耗时: {captcha_duration:.2f}秒",
                                        processing_status='failed',
                                        error_message=str(captcha_e)
                                    )
                                except Exception as update_e:
                                    logger.error(f"【{self.cookie_id}】更新风控日志失败: {update_e}")
                            
                            # 标记已发送通知（通知已在_handle_captcha_verification中发送）
                            notification_sent = True

                    # 检查是否包含"令牌过期"或"Session过期"
                    if isinstance(res_json, dict):
                        res_json_str = json.dumps(res_json, ensure_ascii=False, separators=(',', ':'))
                        if '令牌过期' in res_json_str or 'Session过期' in res_json_str:
                            # 调用统一的密码登录刷新方法
                            refresh_success = await self._try_password_login_refresh("令牌/Session过期")
                            
                            if not refresh_success:
                                # 标记已发送通知，避免重复通知
                                notification_sent = True
                                # 返回None，让调用者知道刷新失败
                                return None
                            else:
                                # 刷新成功后，重新尝试获取token
                                return await self.refresh_token(captcha_retry_count)
                                
                                # 刷新失败时继续执行原有的失败处理逻辑

                    logger.error(f"【{self.cookie_id}】Token刷新失败: {res_json}")

                    # 清空当前token，确保下次重试时重新获取
                    self.current_token = None

                    # 只有在没有发送过通知的情况下才发送Token刷新失败通知
                    # 并且WebSocket未连接时才发送（已连接说明只是暂时失败）
                    if not notification_sent:
                        # 检查WebSocket连接状态
                        is_ws_connected = (
                            self.connection_state == ConnectionState.CONNECTED and 
                            self.ws and 
                            not self.ws.closed
                        )
                        
                        if is_ws_connected:
                            logger.info(f"【{self.cookie_id}】WebSocket连接正常，Token刷新失败可能是暂时的，跳过失败通知")
                        else:
                            logger.warning(f"【{self.cookie_id}】WebSocket未连接，发送Token刷新失败通知")
                            await self.send_token_refresh_notification(f"Token刷新失败: {res_json}", "token_refresh_failed")
                    else:
                        logger.info(f"【{self.cookie_id}】已发送滑块验证相关通知，跳过Token刷新失败通知")
                    return None

        except Exception as e:
            logger.error(f"Token刷新异常: {self._safe_str(e)}")

            # 清空当前token，确保下次重试时重新获取
            self.current_token = None

            # 只有在没有发送过通知的情况下才发送Token刷新异常通知
            # 并且WebSocket未连接时才发送（已连接说明只是暂时失败）
            if not notification_sent:
                # 检查WebSocket连接状态
                is_ws_connected = (
                    self.connection_state == ConnectionState.CONNECTED and 
                    self.ws and 
                    not self.ws.closed
                )
                
                if is_ws_connected:
                    logger.info(f"【{self.cookie_id}】WebSocket连接正常，Token刷新异常可能是暂时的，跳过失败通知")
                else:
                    logger.warning(f"【{self.cookie_id}】WebSocket未连接，发送Token刷新异常通知")
                    await self.send_token_refresh_notification(f"Token刷新异常: {str(e)}", "token_refresh_exception")
            else:
                logger.info(f"【{self.cookie_id}】已发送滑块验证相关通知，跳过Token刷新异常通知")
            return None

    def _need_captcha_verification(self, res_json: dict) -> bool:
        """检查响应是否需要滑块验证"""
        try:
            if not isinstance(res_json, dict):
                return False

            # 记录res_json内容到日志文件
            import json
            res_json_str = json.dumps(res_json, ensure_ascii=False, separators=(',', ':'))
            log_captcha_event(self.cookie_id, "检查滑块验证响应", None, f"res_json内容: {res_json_str}")

            # 检查返回的错误信息
            ret_value = res_json.get('ret', [])
            if not ret_value:
                return False

            # 检查是否包含需要验证的关键词
            captcha_keywords = [
                'FAIL_SYS_USER_VALIDATE',  # 用户验证失败
                'RGV587_ERROR',            # 风控错误
                '哎哟喂,被挤爆啦',          # 被挤爆了
                '哎哟喂，被挤爆啦',         # 被挤爆了（中文逗号）
                '挤爆了',                  # 挤爆了
                '请稍后重试',              # 请稍后重试
                'punish?x5secdata',        # 惩罚页面
                'captcha',                 # 验证码
            ]

            error_msg = str(ret_value[0]) if ret_value else ''

            # 检查错误信息是否包含需要验证的关键词
            for keyword in captcha_keywords:
                if keyword in error_msg:
                    logger.info(f"【{self.cookie_id}】检测到需要滑块验证的关键词: {keyword}")
                    return True

            # 检查data字段中是否包含验证URL
            data = res_json.get('data', {})
            if isinstance(data, dict) and 'url' in data:
                url = data.get('url', '')
                if 'punish' in url or 'captcha' in url or 'validate' in url:
                    logger.info(f"【{self.cookie_id}】检测到验证URL: {url}")
                    return True

            return False

        except Exception as e:
            logger.error(f"【{self.cookie_id}】检查是否需要滑块验证时出错: {self._safe_str(e)}")
            return False

    async def _handle_captcha_verification(self, res_json: dict) -> str:
        """处理滑块验证，返回新的cookies字符串"""
        try:
            logger.info(f"【{self.cookie_id}】开始处理滑块验证...")

            # 获取验证URL
            verification_url = None

            # 从data字段获取URL
            data = res_json.get('data', {})
            if isinstance(data, dict) and 'url' in data:
                verification_url = data.get('url')

            # 如果没有找到URL，使用默认的验证页面
            if not verification_url:
                logger.info(f"【{self.cookie_id}】未找到验证URL，认为不需要滑块验证，返回正常")
                return None

            logger.info(f"【{self.cookie_id}】验证URL: {verification_url}")

            # 使用滑块验证器（独立实例，解决并发冲突）
            try:
                # 使用集成的滑块验证方法（无需猴子补丁）
                from utils.xianyu_slider_stealth import XianyuSliderStealth
                logger.info(f"【{self.cookie_id}】XianyuSliderStealth导入成功，使用滑块验证")

                # 创建独立的滑块验证实例（每个用户独立实例，避免并发冲突）
                slider_stealth = XianyuSliderStealth(
                    # user_id=f"{self.cookie_id}_{int(time.time() * 1000)}",  # 使用唯一ID避免冲突
                    user_id=f"{self.cookie_id}",  # 使用唯一ID避免冲突
                    enable_learning=True,  # 启用学习功能
                    headless=True  # 使用无头模式
                )

                # 在线程池中执行滑块验证
                import asyncio
                import concurrent.futures

                loop = asyncio.get_event_loop()
                with concurrent.futures.ThreadPoolExecutor() as executor:
                    # 执行滑块验证
                    success, cookies = await loop.run_in_executor(
                        executor,
                        slider_stealth.run,
                        verification_url
                    )

                if success and cookies:
                    logger.info(f"【{self.cookie_id}】滑块验证成功，获取到新的cookies")

                    # 只提取x5sec相关的cookie值进行更新
                    updated_cookies = self.cookies.copy()  # 复制现有cookies
                    new_cookie_count = 0
                    updated_cookie_count = 0
                    x5sec_cookies = {}

                    # 筛选出x5相关的cookies（包括x5sec, x5step等）
                    for cookie_name, cookie_value in cookies.items():
                        cookie_name_lower = cookie_name.lower()
                        if cookie_name_lower.startswith('x5') or 'x5sec' in cookie_name_lower:
                            x5sec_cookies[cookie_name] = cookie_value

                    logger.info(f"【{self.cookie_id}】找到{len(x5sec_cookies)}个x5相关cookies: {list(x5sec_cookies.keys())}")

                    # 只更新x5相关的cookies
                    for cookie_name, cookie_value in x5sec_cookies.items():
                        if cookie_name in updated_cookies:
                            if updated_cookies[cookie_name] != cookie_value:
                                logger.warning(f"【{self.cookie_id}】更新x5 cookie: {cookie_name}")
                                updated_cookies[cookie_name] = cookie_value
                                updated_cookie_count += 1
                            else:
                                logger.warning(f"【{self.cookie_id}】x5 cookie值未变: {cookie_name}")
                        else:
                            logger.warning(f"【{self.cookie_id}】新增x5 cookie: {cookie_name}")
                            updated_cookies[cookie_name] = cookie_value
                            new_cookie_count += 1

                    # 将合并后的cookies字典转换为字符串格式
                    cookies_str = "; ".join([f"{k}={v}" for k, v in updated_cookies.items()])

                    logger.info(f"【{self.cookie_id}】x5 Cookie更新完成: 新增{new_cookie_count}个, 更新{updated_cookie_count}个, 总计{len(updated_cookies)}个")

                    # 自动更新数据库中的cookie
                    try:
                        # 备份原有cookies
                        old_cookies_str = self.cookies_str
                        old_cookies_dict = self.cookies.copy()

                        # 更新当前实例的cookies（使用合并后的cookies）
                        self.cookies_str = cookies_str
                        self.cookies = updated_cookies

                        # 更新数据库中的cookies
                        await self.update_config_cookies()
                        logger.info(f"【{self.cookie_id}】滑块验证成功后，数据库cookies已自动更新")

                            
                        # 记录成功更新到日志文件，包含x5相关的cookie信息
                        x5sec_cookies_str = "; ".join([f"{k}={v}" for k, v in x5sec_cookies.items()]) if x5sec_cookies else "无"
                        log_captcha_event(self.cookie_id, "滑块验证成功并自动更新数据库", True,
                            f"cookies长度: {len(cookies_str)}, 新增{new_cookie_count}个x5, 更新{updated_cookie_count}个x5, 总计{len(updated_cookies)}个cookie项, x5 cookies: {x5sec_cookies_str}")

                        # 发送成功通知
                        await self.send_token_refresh_notification(
                            f"滑块验证成功，cookies已自动更新到数据库",
                            "captcha_success_auto_update"
                        )

                    except Exception as update_e:
                        logger.error(f"【{self.cookie_id}】自动更新数据库cookies失败: {self._safe_str(update_e)}")

                        # 回滚cookies
                        self.cookies_str = old_cookies_str
                        self.cookies = old_cookies_dict

                        # 记录更新失败到日志文件，包含获取到的x5 cookies
                        x5sec_cookies_str = "; ".join([f"{k}={v}" for k, v in x5sec_cookies.items()]) if x5sec_cookies else "无"
                        log_captcha_event(self.cookie_id, "滑块验证成功但数据库更新失败", False,
                            f"更新异常: {self._safe_str(update_e)[:100]}, 获取到的x5 cookies: {x5sec_cookies_str}")

                        # 发送更新失败通知
                        await self.send_token_refresh_notification(
                            f"滑块验证成功但数据库更新失败: {self._safe_str(update_e)}",
                            "captcha_success_db_update_failed"
                        )

                    return cookies_str
                else:
                    logger.error(f"【{self.cookie_id}】滑块验证失败")

                    # 记录滑块验证失败到日志文件
                    log_captcha_event(self.cookie_id, "滑块验证失败", False,
                        f"XianyuSliderStealth执行失败, 环境: {'Docker' if os.getenv('DOCKER_ENV') else '本地'}")

                    # 发送通知（检查WebSocket连接状态）
                    # 只有在WebSocket未连接时才发送通知，已连接说明可能是暂时性问题
                    is_ws_connected = (
                        self.connection_state == ConnectionState.CONNECTED and 
                        self.ws and 
                        not self.ws.closed
                    )
                    
                    if is_ws_connected:
                        logger.info(f"【{self.cookie_id}】WebSocket连接正常，滑块验证失败可能是暂时的，跳过通知")
                    else:
                        logger.warning(f"【{self.cookie_id}】WebSocket未连接，发送滑块验证失败通知")
                        await self.send_token_refresh_notification(
                            f"滑块验证失败，需要手动处理。验证URL: {verification_url}",
                            "captcha_verification_failed"
                        )
                    return None

            except ImportError as import_e:
                logger.error(f"【{self.cookie_id}】XianyuSliderStealth导入失败: {import_e}")
                logger.error(f"【{self.cookie_id}】请安装Playwright库: pip install playwright")

                # 记录导入失败到日志文件
                log_captcha_event(self.cookie_id, "XianyuSliderStealth导入失败", False,
                    f"Playwright未安装, 错误: {import_e}")

                # 发送通知
                await self.send_token_refresh_notification(
                    f"滑块验证功能不可用，请安装Playwright。验证URL: {verification_url}",
                    "captcha_dependency_missing"
                )
                return None

            except Exception as stealth_e:
                logger.error(f"【{self.cookie_id}】滑块验证异常: {self._safe_str(stealth_e)}")

                # 记录异常到日志文件
                log_captcha_event(self.cookie_id, "滑块验证异常", False,
                    f"执行异常, 错误: {self._safe_str(stealth_e)[:100]}")

                # 发送通知（检查WebSocket连接状态）
                # 只有在WebSocket未连接时才发送通知，已连接说明可能是暂时性问题
                is_ws_connected = (
                    self.connection_state == ConnectionState.CONNECTED and 
                    self.ws and 
                    not self.ws.closed
                )
                
                if is_ws_connected:
                    logger.info(f"【{self.cookie_id}】WebSocket连接正常，滑块验证执行异常可能是暂时的，跳过通知")
                else:
                    logger.warning(f"【{self.cookie_id}】WebSocket未连接，发送滑块验证执行异常通知")
                    await self.send_token_refresh_notification(
                        f"滑块验证执行异常，需要手动处理。验证URL: {verification_url}",
                        "captcha_execution_error"
                    )
                return None



        except Exception as e:
            logger.error(f"【{self.cookie_id}】处理滑块验证时出错: {self._safe_str(e)}")
            return None

    async def _update_cookies_and_restart(self, new_cookies_str: str):
        """更新cookies并重启任务"""
        try:
            logger.info(f"【{self.cookie_id}】开始更新cookies并重启任务...")

            # 验证新cookies的有效性
            if not new_cookies_str or not new_cookies_str.strip():
                logger.error(f"【{self.cookie_id}】新cookies为空，无法更新")
                return False

            # 解析新cookies，确保格式正确
            try:
                new_cookies_dict = trans_cookies(new_cookies_str)
                if not new_cookies_dict:
                    logger.error(f"【{self.cookie_id}】新cookies解析失败，无法更新")
                    return False
                logger.info(f"【{self.cookie_id}】新cookies解析成功，包含 {len(new_cookies_dict)} 个字段")
            except Exception as parse_e:
                logger.error(f"【{self.cookie_id}】新cookies解析异常: {self._safe_str(parse_e)}")
                return False

            # 合并cookies：保留原有cookies，只更新新获取到的字段
            try:
                # 获取当前的cookies字典
                current_cookies_dict = trans_cookies(self.cookies_str)
                logger.info(f"【{self.cookie_id}】当前cookies包含 {len(current_cookies_dict)} 个字段")

                # 合并cookies：新cookies覆盖旧cookies中的相同字段
                merged_cookies_dict = current_cookies_dict.copy()
                updated_fields = []

                for key, value in new_cookies_dict.items():
                    if key in merged_cookies_dict:
                        if merged_cookies_dict[key] != value:
                            merged_cookies_dict[key] = value
                            updated_fields.append(key)
                    else:
                        merged_cookies_dict[key] = value
                        updated_fields.append(f"{key}(新增)")

                if updated_fields:
                    logger.info(f"【{self.cookie_id}】更新的cookie字段: {', '.join(updated_fields)}")
                else:
                    logger.info(f"【{self.cookie_id}】没有cookie字段需要更新")

                # 重新组装cookies字符串
                merged_cookies_str = '; '.join([f"{k}={v}" for k, v in merged_cookies_dict.items()])
                logger.info(f"【{self.cookie_id}】合并后cookies包含 {len(merged_cookies_dict)} 个字段")
                
                # 打印合并后的Cookie字段详情
                logger.info(f"【{self.cookie_id}】========== 合并后Cookie字段详情 ==========")
                logger.info(f"【{self.cookie_id}】Cookie字段数: {len(merged_cookies_dict)}")
                logger.info(f"【{self.cookie_id}】Cookie字段列表:")
                for i, (key, value) in enumerate(merged_cookies_dict.items(), 1):
                    if len(str(value)) > 50:
                        logger.info(f"【{self.cookie_id}】  {i:2d}. {key}: {str(value)[:30]}...{str(value)[-20:]} (长度: {len(str(value))})")
                    else:
                        logger.info(f"【{self.cookie_id}】  {i:2d}. {key}: {value}")
                
                # 检查关键字段
                important_keys = ['unb', '_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie', 'cna']
                logger.info(f"【{self.cookie_id}】关键字段检查:")
                for key in important_keys:
                    if key in merged_cookies_dict:
                        val = merged_cookies_dict[key]
                        logger.info(f"【{self.cookie_id}】  ✅ {key}: {'存在' if val else '为空'} (长度: {len(str(val)) if val else 0})")
                    else:
                        logger.info(f"【{self.cookie_id}】  ❌ {key}: 缺失")
                logger.info(f"【{self.cookie_id}】==========================================")

                # 使用合并后的cookies字符串
                new_cookies_str = merged_cookies_str
                new_cookies_dict = merged_cookies_dict

            except Exception as merge_e:
                logger.error(f"【{self.cookie_id}】cookies合并异常: {self._safe_str(merge_e)}")
                logger.warning(f"【{self.cookie_id}】将使用原始新cookies（不合并）")
                # 如果合并失败，继续使用原始的new_cookies_str

            # 备份原有cookies，以防更新失败需要回滚
            old_cookies_str = self.cookies_str
            old_cookies_dict = self.cookies.copy()

            try:
                # 更新当前实例的cookies
                self.cookies_str = new_cookies_str
                self.cookies = new_cookies_dict

                # 更新数据库中的cookies
                await self.update_config_cookies()
                logger.info(f"【{self.cookie_id}】数据库cookies更新成功")

                # 通过CookieManager重启任务
                logger.info(f"【{self.cookie_id}】通过CookieManager重启任务...")
                await self._restart_instance()
                
                # ⚠️ _restart_instance() 已触发重启，当前任务即将被取消
                # 立即返回，不执行后续代码
                logger.info(f"【{self.cookie_id}】cookies更新成功，重启请求已触发")
                return True

            except Exception as update_e:
                logger.error(f"【{self.cookie_id}】更新cookies过程中出错，尝试回滚: {self._safe_str(update_e)}")

                # 回滚cookies
                try:
                    self.cookies_str = old_cookies_str
                    self.cookies = old_cookies_dict
                    await self.update_config_cookies()
                    logger.info(f"【{self.cookie_id}】cookies已回滚到原始状态")
                except Exception as rollback_e:
                    logger.error(f"【{self.cookie_id}】cookies回滚失败: {self._safe_str(rollback_e)}")

                return False

        except Exception as e:
            logger.error(f"【{self.cookie_id}】更新cookies并重启任务时出错: {self._safe_str(e)}")
            return False

    async def update_config_cookies(self):
        """更新数据库中的cookies（不会覆盖账号密码等其他字段）"""
        try:
            from db_manager import db_manager

            # 更新数据库中的Cookie
            if hasattr(self, 'cookie_id') and self.cookie_id:
                try:
                    # 获取当前Cookie的用户ID，避免在刷新时改变所有者
                    current_user_id = None
                    if hasattr(self, 'user_id') and self.user_id:
                        current_user_id = self.user_id

                    # 使用 update_cookie_account_info 避免覆盖其他字段（如 username, password, pause_duration, remark 等）
                    # 这个方法会自动处理新账号和现有账号的情况，不会覆盖账号密码
                    success = db_manager.update_cookie_account_info(
                        self.cookie_id, 
                        cookie_value=self.cookies_str,
                        user_id=current_user_id  # 如果是新账号，需要提供user_id
                    )
                    if not success:
                        # 如果更新失败，记录错误但不使用 save_cookie（避免覆盖账号密码）
                        logger.warning(f"更新Cookie到数据库失败: {self.cookie_id}，但不使用save_cookie避免覆盖账号密码")
                    else:
                        logger.warning(f"已更新Cookie到数据库: {self.cookie_id}")
                except Exception as e:
                    logger.error(f"更新数据库Cookie失败: {self._safe_str(e)}")
                    # 发送数据库更新失败通知
                    await self.send_token_refresh_notification(f"数据库Cookie更新失败: {str(e)}", "db_update_failed")
            else:
                logger.warning("Cookie ID不存在，无法更新数据库")
                # 发送Cookie ID缺失通知
                await self.send_token_refresh_notification("Cookie ID不存在，无法更新数据库", "cookie_id_missing")

        except Exception as e:
            logger.error(f"更新Cookie失败: {self._safe_str(e)}")
            # 发送Cookie更新失败通知
            await self.send_token_refresh_notification(f"Cookie更新失败: {str(e)}", "cookie_update_failed")

    async def _try_password_login_refresh(self, trigger_reason: str = "令牌/Session过期"):
        """尝试通过密码登录刷新Cookie并重启实例
        
        Args:
            trigger_reason: 触发原因，用于日志记录
            
        Returns:
            bool: 是否成功刷新Cookie
        """
        logger.warning(f"【{self.cookie_id}】检测到{trigger_reason}，准备刷新Cookie并重启实例...")

        # 检查是否在密码登录冷却期内，避免重复登录
        current_time = time.time()
        last_password_login = XianyuLive._last_password_login_time.get(self.cookie_id, 0)
        time_since_last_login = current_time - last_password_login
        
        if last_password_login > 0 and time_since_last_login < XianyuLive._password_login_cooldown:
            remaining_time = XianyuLive._password_login_cooldown - time_since_last_login
            logger.warning(f"【{self.cookie_id}】距离上次密码登录仅 {time_since_last_login:.1f} 秒，仍在冷却期内（还需等待 {remaining_time:.1f} 秒），跳过密码登录")
            logger.warning(f"【{self.cookie_id}】提示：如果新Cookie仍然无效，请检查账号状态或手动更新Cookie")
            return False

        # 记录到日志文件
        log_captcha_event(self.cookie_id, f"{trigger_reason}触发Cookie刷新和实例重启", None,
            f"检测到{trigger_reason}，准备刷新Cookie并重启实例")

        try:
            # 从数据库获取账号登录信息
            from db_manager import db_manager
            account_info = db_manager.get_cookie_details(self.cookie_id)
            
            if not account_info:
                logger.error(f"【{self.cookie_id}】无法获取账号信息")
                return False
            
            # 【重要】先检查数据库中的cookie是否已经更新
            # 如果用户已经手动更新了cookie，就不需要触发密码登录刷新
            db_cookie_value = account_info.get('cookie_value', '')
            if db_cookie_value and db_cookie_value != self.cookies_str:
                logger.info(f"【{self.cookie_id}】检测到数据库中的cookie已更新，重新加载cookie")
                self.cookies_str = db_cookie_value
                self.cookies = trans_cookies(self.cookies_str)
                logger.info(f"【{self.cookie_id}】Cookie已从数据库重新加载，跳过密码登录刷新")
                return True
            
            username = account_info.get('username', '')
            password = account_info.get('password', '')
            show_browser = account_info.get('show_browser', False)
            
            # 检查是否配置了用户名和密码
            if not username or not password:
                logger.warning(f"【{self.cookie_id}】未配置用户名或密码，跳过密码登录刷新")
                await self.send_token_refresh_notification(
                    f"检测到{trigger_reason}，但未配置用户名或密码，无法自动刷新Cookie",
                    "no_credentials"
                )
                return False
            
            # 使用集成的 Playwright 登录方法（无需猴子补丁）
            from utils.xianyu_slider_stealth import XianyuSliderStealth
            browser_mode = "有头" if show_browser else "无头"
            logger.info(f"【{self.cookie_id}】开始使用{browser_mode}浏览器进行密码登录刷新Cookie...")
            logger.info(f"【{self.cookie_id}】使用账号: {username}")
            
            # 创建一个通知回调包装函数，支持接收截图路径和验证链接
            async def notification_callback_wrapper(message: str, screenshot_path: str = None, verification_url: str = None):
                """通知回调包装函数，支持接收截图路径和验证链接"""
                await self.send_token_refresh_notification(
                    error_message=message,
                    notification_type="token_refresh",
                    chat_id=None,
                    attachment_path=screenshot_path,
                    verification_url=verification_url
                )
            
            # 在单独的线程中运行同步的登录方法
            import asyncio
            slider = XianyuSliderStealth(user_id=self.cookie_id, enable_learning=False, headless=not show_browser)
            result = await asyncio.to_thread(
                slider.login_with_password_playwright,
                account=username,
                password=password,
                show_browser=show_browser,
                notification_callback=notification_callback_wrapper
            )
            
            if result:
                logger.info(f"【{self.cookie_id}】密码登录成功，获取到Cookie")
                logger.info(f"【{self.cookie_id}】Cookie内容: {result}")
                
                # 打印密码登录获取的Cookie字段详情
                logger.info(f"【{self.cookie_id}】========== 密码登录Cookie字段详情 ==========")
                logger.info(f"【{self.cookie_id}】Cookie字段数: {len(result)}")
                logger.info(f"【{self.cookie_id}】Cookie字段列表:")
                for i, (key, value) in enumerate(result.items(), 1):
                    if len(str(value)) > 50:
                        logger.info(f"【{self.cookie_id}】  {i:2d}. {key}: {str(value)[:30]}...{str(value)[-20:]} (长度: {len(str(value))})")
                    else:
                        logger.info(f"【{self.cookie_id}】  {i:2d}. {key}: {value}")
                
                # 检查关键字段
                important_keys = ['unb', '_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie', 'cna']
                logger.info(f"【{self.cookie_id}】关键字段检查:")
                for key in important_keys:
                    if key in result:
                        val = result[key]
                        logger.info(f"【{self.cookie_id}】  ✅ {key}: {'存在' if val else '为空'} (长度: {len(str(val)) if val else 0})")
                    else:
                        logger.info(f"【{self.cookie_id}】  ❌ {key}: 缺失")
                logger.info(f"【{self.cookie_id}】==========================================")
                
                # 将cookie字典转换为字符串格式
                new_cookies_str = '; '.join([f"{k}={v}" for k, v in result.items()])
                logger.info(f"【{self.cookie_id}】Cookie字符串格式: {new_cookies_str[:200]}..." if len(new_cookies_str) > 200 else f"【{self.cookie_id}】Cookie字符串格式: {new_cookies_str}")
                
                # 记录密码登录时间，防止重复登录
                XianyuLive._last_password_login_time[self.cookie_id] = time.time()
                logger.warning(f"【{self.cookie_id}】已记录密码登录时间，冷却期 {XianyuLive._password_login_cooldown} 秒")
                
                # 更新cookies并重启任务
                update_success = await self._update_cookies_and_restart(new_cookies_str)
                
                if update_success:
                    logger.info(f"【{self.cookie_id}】Cookie更新并重启任务成功")
                    # 发送账号密码登录成功通知
                    await self.send_token_refresh_notification(
                        f"账号密码登录成功，Cookie已更新，任务已重启",
                        "password_login_success"
                    )
                    return True
                else:
                    logger.error(f"【{self.cookie_id}】Cookie更新失败")
                    return False
                    
            else:
                logger.warning(f"【{self.cookie_id}】密码登录失败，未获取到Cookie")
                return False

        except Exception as refresh_e:
            logger.error(f"【{self.cookie_id}】Cookie刷新或实例重启失败: {self._safe_str(refresh_e)}")
            import traceback
            logger.error(f"【{self.cookie_id}】详细堆栈:\n{traceback.format_exc()}")
            return False

    async def _verify_cookie_validity(self) -> dict:
        """验证Cookie的有效性，通过实际调用API测试
        
        Returns:
            dict: {
                'valid': bool,  # 总体是否有效
                'confirm_api': bool,  # 确认发货API是否有效
                'image_api': bool,  # 图片上传API是否有效
                'details': str  # 详细信息
            }
        """
        logger.info(f"【{self.cookie_id}】开始验证Cookie有效性（使用真实API调用）...")
        
        result = {
            'valid': True,
            'confirm_api': None,
            'image_api': None,
            'details': []
        }
        
        # 1. 测试确认发货API - 使用测试订单ID实际调用
        # try:
        #     logger.info(f"【{self.cookie_id}】测试确认发货API（使用测试数据实际调用）...")
            
        #     # 确保session存在
        #     if not self.session:
        #         import aiohttp
        #         connector = aiohttp.TCPConnector(limit=100, limit_per_host=30)
        #         timeout = aiohttp.ClientTimeout(total=30)
        #         self.session = aiohttp.ClientSession(connector=connector, timeout=timeout)
            
        #     # 创建临时的确认发货实例
        #     from secure_confirm_decrypted import SecureConfirm
        #     confirm_tester = SecureConfirm(
        #         session=self.session,
        #         cookies_str=self.cookies_str,
        #         cookie_id=self.cookie_id,
        #         main_instance=self
        #     )
            
        #     # 使用一个测试订单ID（不存在的订单ID）
        #     # 如果Cookie有效，应该返回"订单不存在"类的错误
        #     # 如果Cookie无效，会返回"Session过期"错误
        #     test_order_id = "999999999999999999"  # 不存在的测试订单ID
            
        #     # 实际调用API (retry_count=3阻止重试，快速失败)
        #     response = await confirm_tester.auto_confirm(test_order_id, retry_count=3)
            
        #     # 分析响应
        #     if response and isinstance(response, dict):
        #         error_msg = str(response.get('error', ''))
        #         success = response.get('success', False)
                
        #         # 检查是否是Session过期错误
        #         if 'Session过期' in error_msg or 'SESSION_EXPIRED' in error_msg:
        #             logger.warning(f"【{self.cookie_id}】❌ 确认发货API验证失败: Session过期")
        #             result['confirm_api'] = False
        #             result['valid'] = False
        #             result['details'].append("确认发货API: Session过期")
        #         elif '令牌过期' in error_msg:
        #             logger.warning(f"【{self.cookie_id}】❌ 确认发货API验证失败: 令牌过期")
        #             result['confirm_api'] = False
        #             result['valid'] = False
        #             result['details'].append("确认发货API: 令牌过期")
        #         elif success:
        #             # 竟然成功了（不太可能，因为是测试订单ID）
        #             logger.info(f"【{self.cookie_id}】✅ 确认发货API验证通过: API调用成功")
        #             result['confirm_api'] = True
        #             result['details'].append("确认发货API: 通过验证")
        #         elif error_msg and len(error_msg) > 0:
        #             # 有其他错误信息（如订单不存在、重试次数过多等），说明Cookie是有效的
        #             logger.info(f"【{self.cookie_id}】✅ 确认发货API验证通过: Cookie有效（返回业务错误: {error_msg[:50]}）")
        #             result['confirm_api'] = True
        #             result['details'].append(f"确认发货API: 通过验证")
        #         else:
        #             # 没有明确信息，保守认为可能有问题
        #             logger.warning(f"【{self.cookie_id}】⚠️ 确认发货API验证警告: 响应不明确")
        #             result['confirm_api'] = False
        #             result['valid'] = False
        #             result['details'].append("确认发货API: 响应不明确")
        #     else:
        #         # 没有响应，可能有问题
        #         logger.warning(f"【{self.cookie_id}】⚠️ 确认发货API验证警告: 无响应")
        #         result['confirm_api'] = False
        #         result['valid'] = False
        #         result['details'].append("确认发货API: 无响应")
                    
        # except Exception as e:
        #     error_str = self._safe_str(e)
        #     # 检查异常信息中是否包含Session过期
        #     if 'Session过期' in error_str or 'SESSION_EXPIRED' in error_str:
        #         logger.warning(f"【{self.cookie_id}】❌ 确认发货API验证失败: Session过期")
        #         result['confirm_api'] = False
        #         result['valid'] = False
        #         result['details'].append("确认发货API: Session过期")
        #     else:
        #         logger.error(f"【{self.cookie_id}】确认发货API验证异常: {error_str}")
        #         # 网络异常等问题，不一定是Cookie问题，暂时标记为通过
        #         result['confirm_api'] = True
        #         result['details'].append(f"确认发货API: 调用异常(可能非Cookie问题)")
        
        # 2. 测试图片上传API - 创建测试图片并实际上传
        try:
            logger.info(f"【{self.cookie_id}】测试图片上传API（使用测试图片实际上传）...")
            
            # 创建一个最小的测试图片（1x1像素的PNG）
            import tempfile
            import os
            from PIL import Image
            
            # 创建临时目录
            temp_dir = tempfile.gettempdir()
            test_image_path = os.path.join(temp_dir, f'cookie_test_{self.cookie_id}.png')
            
            try:
                # 创建1x1像素的白色图片
                img = Image.new('RGB', (1, 1), color='white')
                img.save(test_image_path, 'PNG')
                logger.info(f"【{self.cookie_id}】已创建测试图片: {test_image_path}")
                
                # 创建图片上传实例
                from utils.image_uploader import ImageUploader
                uploader = ImageUploader(cookies_str=self.cookies_str)
                
                # 创建session
                await uploader.create_session()
                
                try:
                    # 实际上传测试图片
                    upload_result = await uploader.upload_image(test_image_path)
                finally:
                    # 确保关闭session
                    await uploader.close_session()
                
                # 分析上传结果
                if upload_result:
                    # 上传成功，Cookie有效
                    logger.info(f"【{self.cookie_id}】✅ 图片上传API验证通过: 上传成功 ({upload_result[:50]}...)")
                    result['image_api'] = True
                    result['details'].append("图片上传API: 通过验证")
                else:
                    # 上传失败，需要进一步判断原因
                    # 如果是Cookie失效，通常会返回HTML登录页面
                    logger.warning(f"【{self.cookie_id}】❌ 图片上传API验证失败: 上传失败（可能是Cookie失效）")
                    result['image_api'] = False
                    result['valid'] = False
                    result['details'].append("图片上传API: 上传失败，可能Cookie已失效")
                
            finally:
                # 清理测试图片
                if os.path.exists(test_image_path):
                    try:
                        os.remove(test_image_path)
                        logger.debug(f"【{self.cookie_id}】已删除测试图片")
                    except:
                        pass
                        
        except Exception as e:
            error_str = self._safe_str(e)
            logger.error(f"【{self.cookie_id}】图片上传API验证异常: {error_str}")
            # 图片上传异常，标记为失败
            result['image_api'] = False
            result['valid'] = False
            result['details'].append(f"图片上传API: 验证异常 - {error_str[:50]}")
        
        # 汇总结果
        if result['valid']:
            logger.info(f"【{self.cookie_id}】✅ Cookie验证通过: 所有关键API均可用")
        else:
            logger.warning(f"【{self.cookie_id}】❌ Cookie验证失败:")
            for detail in result['details']:
                logger.warning(f"【{self.cookie_id}】  - {detail}")
        
        result['details'] = '; '.join(result['details'])
        return result

    async def _restart_instance(self):
        """重启XianyuLive实例
        
        ⚠️ 注意：此方法会触发当前任务被取消！
        调用此方法后，当前任务会立即被 CookieManager 取消，
        因此不要在此方法后执行任何重要操作。
        """
        try:
            logger.info(f"【{self.cookie_id}】准备重启实例...")

            # 导入CookieManager
            from cookie_manager import manager as cookie_manager

            if cookie_manager:
                # 通过CookieManager重启实例
                logger.info(f"【{self.cookie_id}】通过CookieManager重启实例...")
                
                # ⚠️ 重要：不要等待重启完成！
                # cookie_manager.update_cookie() 会立即取消当前任务
                # 如果我们等待它完成，会导致 CancelledError 中断等待
                # 正确的做法是：触发重启后立即返回，让任务自然退出
                
                import threading
                
                def trigger_restart():
                    """在后台线程中触发重启，不阻塞当前任务"""
                    try:
                        # 给当前任务一点时间完成清理（避免竞态条件）
                        import time
                        time.sleep(0.5)
                        
                        # save_to_db=False 因为 update_config_cookies 已经保存过了
                        cookie_manager.update_cookie(self.cookie_id, self.cookies_str, save_to_db=False)
                        logger.info(f"【{self.cookie_id}】实例重启请求已触发")
                    except Exception as e:
                        logger.error(f"【{self.cookie_id}】触发实例重启失败: {e}")
                        import traceback
                        logger.error(f"【{self.cookie_id}】重启失败详情:\n{traceback.format_exc()}")

                # 在后台线程中触发重启
                restart_thread = threading.Thread(target=trigger_restart, daemon=True)
                restart_thread.start()
                
                logger.info(f"【{self.cookie_id}】实例重启已触发，当前任务即将退出...")
                logger.warning(f"【{self.cookie_id}】注意：重启请求已发送，CookieManager将在0.5秒后取消当前任务并启动新实例")
                    
            else:
                logger.warning(f"【{self.cookie_id}】CookieManager不可用，无法重启实例")

        except Exception as e:
            logger.error(f"【{self.cookie_id}】重启实例失败: {self._safe_str(e)}")
            import traceback
            logger.error(f"【{self.cookie_id}】重启失败堆栈:\n{traceback.format_exc()}")
            # 发送重启失败通知
            try:
                await self.send_token_refresh_notification(f"实例重启失败: {str(e)}", "instance_restart_failed")
            except Exception as notify_e:
                logger.error(f"【{self.cookie_id}】发送重启失败通知时出错: {self._safe_str(notify_e)}")

    async def save_item_info_to_db(self, item_id: str, item_detail: str = None, item_title: str = None):
        """保存商品信息到数据库

        Args:
            item_id: 商品ID
            item_detail: 商品详情内容（可以是任意格式的文本）
            item_title: 商品标题
        """
        try:
            # 跳过以 auto_ 开头的商品ID
            if item_id and item_id.startswith('auto_'):
                logger.warning(f"跳过保存自动生成的商品ID: {item_id}")
                return

            # 验证：如果只有商品ID，没有商品标题和商品详情，则不插入数据库
            if not item_title and not item_detail:
                logger.warning(f"跳过保存商品信息：缺少商品标题和详情 - {item_id}")
                return

            # 如果有商品标题但没有详情，也跳过（根据需求，需要同时有标题和详情）
            if not item_title or not item_detail:
                logger.warning(f"跳过保存商品信息：商品标题或详情不完整 - {item_id}")
                return

            from db_manager import db_manager

            # 直接使用传入的详情内容
            item_data = item_detail

            # 保存到数据库
            success = db_manager.save_item_info(self.cookie_id, item_id, item_data)
            if success:
                logger.info(f"商品信息已保存到数据库: {item_id}")
            else:
                logger.warning(f"保存商品信息到数据库失败: {item_id}")

        except Exception as e:
            logger.error(f"保存商品信息到数据库异常: {self._safe_str(e)}")

    async def save_item_detail_only(self, item_id, item_detail):
        """仅保存商品详情（不影响标题等基本信息）"""
        try:
            from db_manager import db_manager

            # 使用专门的详情更新方法
            success = db_manager.update_item_detail(self.cookie_id, item_id, item_detail)

            if success:
                logger.info(f"商品详情已更新: {item_id}")
            else:
                logger.warning(f"更新商品详情失败: {item_id}")

            return success

        except Exception as e:
            logger.error(f"更新商品详情异常: {self._safe_str(e)}")
            return False

    async def fetch_item_detail_from_api(self, item_id: str) -> str:
        """获取商品详情（使用浏览器获取，支持24小时缓存）

        Args:
            item_id: 商品ID

        Returns:
            str: 商品详情文本，获取失败返回空字符串
        """
        try:
            # 检查是否启用自动获取功能
            from config import config
            auto_fetch_config = config.get('ITEM_DETAIL', {}).get('auto_fetch', {})

            if not auto_fetch_config.get('enabled', True):
                logger.warning(f"自动获取商品详情功能已禁用: {item_id}")
                return ""

            # 1. 首先检查缓存（24小时有效）
            async with self._item_detail_cache_lock:
                if item_id in self._item_detail_cache:
                    cache_data = self._item_detail_cache[item_id]
                    cache_time = cache_data['timestamp']
                    current_time = time.time()

                    # 检查缓存是否在24小时内
                    if current_time - cache_time < self._item_detail_cache_ttl:
                        # 更新访问时间（用于LRU）
                        cache_data['access_time'] = current_time
                        logger.info(f"从缓存获取商品详情: {item_id}")
                        return cache_data['detail']
                    else:
                        # 缓存过期，删除
                        del self._item_detail_cache[item_id]
                        logger.warning(f"缓存已过期，删除: {item_id}")

            # 2. 尝试使用浏览器获取商品详情
            detail_from_browser = await self._fetch_item_detail_from_browser(item_id)
            if detail_from_browser:
                # 保存到缓存（带大小限制）
                await self._add_to_item_cache(item_id, detail_from_browser)
                logger.info(f"成功通过浏览器获取商品详情: {item_id}, 长度: {len(detail_from_browser)}")
                return detail_from_browser

            # 浏览器获取失败
            logger.warning(f"浏览器获取商品详情失败: {item_id}")
            return ""

        except Exception as e:
            logger.error(f"获取商品详情异常: {item_id}, 错误: {self._safe_str(e)}")
            return ""

    async def _add_to_item_cache(self, item_id: str, detail: str):
        """添加商品详情到缓存，实现LRU策略和大小限制
        
        Args:
            item_id: 商品ID
            detail: 商品详情
        """
        async with self._item_detail_cache_lock:
            current_time = time.time()
            
            # 检查缓存大小，如果超过限制则清理
            if len(self._item_detail_cache) >= self._item_detail_cache_max_size:
                # 使用LRU策略删除最久未访问的项
                if self._item_detail_cache:
                    # 找到最久未访问的项
                    oldest_item = min(
                        self._item_detail_cache.items(),
                        key=lambda x: x[1].get('access_time', x[1]['timestamp'])
                    )
                    oldest_item_id = oldest_item[0]
                    del self._item_detail_cache[oldest_item_id]
                    logger.warning(f"缓存已满，删除最旧项: {oldest_item_id}")
            
            # 添加新项到缓存
            self._item_detail_cache[item_id] = {
                'detail': detail,
                'timestamp': current_time,
                'access_time': current_time
            }
            logger.warning(f"添加商品详情到缓存: {item_id}, 当前缓存大小: {len(self._item_detail_cache)}")

    @classmethod
    async def _cleanup_item_cache(cls):
        """清理过期的商品详情缓存"""
        try:
            async with cls._item_detail_cache_lock:
                # 在持有锁时也要能响应取消信号
                await asyncio.sleep(0)
                
                current_time = time.time()
                expired_items = []
                
                # 找出所有过期的项
                for item_id, cache_data in cls._item_detail_cache.items():
                    # 在循环中也要能响应取消信号
                    await asyncio.sleep(0)
                    if current_time - cache_data['timestamp'] >= cls._item_detail_cache_ttl:
                        expired_items.append(item_id)
                
                # 删除过期项
                for item_id in expired_items:
                    await asyncio.sleep(0)  # 让出控制权
                    del cls._item_detail_cache[item_id]
                
                if expired_items:
                    logger.info(f"清理了 {len(expired_items)} 个过期的商品详情缓存")
                
                return len(expired_items)
        except asyncio.CancelledError:
            # 如果被取消，确保锁能正确释放
            raise

    async def _fetch_item_detail_from_browser(self, item_id: str) -> str:
        """使用浏览器获取商品详情"""
        playwright = None
        browser = None
        try:
            from playwright.async_api import async_playwright

            logger.info(f"开始使用浏览器获取商品详情: {item_id}")

            playwright = await async_playwright().start()

            # 启动浏览器（参照order_detail_fetcher的配置）
            browser_args = [
                '--no-sandbox',
                '--disable-setuid-sandbox',
                '--disable-dev-shm-usage',
                '--disable-accelerated-2d-canvas',
                '--no-first-run',
                '--no-zygote',
                '--disable-gpu',
                '--disable-background-timer-throttling',
                '--disable-backgrounding-occluded-windows',
                '--disable-renderer-backgrounding',
                '--disable-features=TranslateUI',
                '--disable-ipc-flooding-protection',
                '--disable-extensions',
                '--disable-default-apps',
                '--disable-sync',
                '--disable-translate',
                '--hide-scrollbars',
                '--mute-audio',
                '--no-default-browser-check',
                '--no-pings'
            ]

            # 在Docker环境中添加额外参数
            if os.getenv('DOCKER_ENV'):
                browser_args.extend([
                    # '--single-process',  # 注释掉，避免多用户并发时的进程冲突和资源泄漏
                    '--disable-background-networking',
                    '--disable-client-side-phishing-detection',
                    '--disable-hang-monitor',
                    '--disable-popup-blocking',
                    '--disable-prompt-on-repost',
                    '--disable-web-resources',
                    '--metrics-recording-only',
                    '--safebrowsing-disable-auto-update',
                    '--enable-automation',
                    '--password-store=basic',
                    '--use-mock-keychain'
                ])

            browser = await playwright.chromium.launch(
                headless=True,
                args=browser_args
            )

            # 创建浏览器上下文
            context = await browser.new_context(
                viewport={'width': 1920, 'height': 1080},
                user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36'
            )

            # 设置Cookie
            cookies = []
            for cookie_pair in self.cookies_str.split('; '):
                if '=' in cookie_pair:
                    name, value = cookie_pair.split('=', 1)
                    cookies.append({
                        'name': name.strip(),
                        'value': value.strip(),
                        'domain': '.goofish.com',
                        'path': '/'
                    })

            await context.add_cookies(cookies)
            logger.warning(f"已设置 {len(cookies)} 个Cookie")

            # 创建页面
            page = await context.new_page()

            # 构造商品详情页面URL
            item_url = f"https://www.goofish.com/item?id={item_id}"
            logger.info(f"访问商品页面: {item_url}")

            # 访问页面
            await page.goto(item_url, wait_until='networkidle', timeout=30000)

            # 等待页面完全加载
            await asyncio.sleep(3)

            # 获取商品详情内容
            detail_text = ""
            try:
                # 等待目标元素出现
                await page.wait_for_selector('.desc--GaIUKUQY', timeout=10000)

                # 获取商品详情文本
                detail_element = await page.query_selector('.desc--GaIUKUQY')
                if detail_element:
                    detail_text = await detail_element.inner_text()
                    logger.info(f"成功获取商品详情: {item_id}, 长度: {len(detail_text)}")
                    return detail_text.strip()
                else:
                    logger.warning(f"未找到商品详情元素: {item_id}")

            except Exception as e:
                logger.warning(f"获取商品详情元素失败: {item_id}, 错误: {self._safe_str(e)}")

            return ""

        except Exception as e:
            logger.error(f"浏览器获取商品详情异常: {item_id}, 错误: {self._safe_str(e)}")
            return ""
        finally:
            # 确保资源被正确清理
            try:
                if browser:
                    await browser.close()
                    logger.warning(f"Browser已关闭: {item_id}")
            except Exception as e:
                logger.warning(f"关闭browser时出错: {self._safe_str(e)}")
            
            try:
                if playwright:
                    await playwright.stop()
                    logger.warning(f"Playwright已停止: {item_id}")
            except Exception as e:
                logger.warning(f"停止playwright时出错: {self._safe_str(e)}")


    async def save_items_list_to_db(self, items_list):
        """批量保存商品列表信息到数据库（并发安全）

        Args:
            items_list: 从get_item_list_info获取的商品列表
        """
        try:
            from db_manager import db_manager

            # 准备批量数据
            batch_data = []
            items_need_detail = []  # 需要获取详情的商品列表

            for item in items_list:
                item_id = item.get('id')
                if not item_id or item_id.startswith('auto_'):
                    continue

                # 构造商品详情数据
                item_detail = {
                    'title': item.get('title', ''),
                    'price': item.get('price', ''),
                    'price_text': item.get('price_text', ''),
                    'category_id': item.get('category_id', ''),
                    'auction_type': item.get('auction_type', ''),
                    'item_status': item.get('item_status', 0),
                    'detail_url': item.get('detail_url', ''),
                    'pic_info': item.get('pic_info', {}),
                    'detail_params': item.get('detail_params', {}),
                    'track_params': item.get('track_params', {}),
                    'item_label_data': item.get('item_label_data', {}),
                    'card_type': item.get('card_type', 0)
                }

                # 检查数据库中是否已有详情
                existing_item = db_manager.get_item_info(self.cookie_id, item_id)
                has_detail = existing_item and existing_item.get('item_detail') and existing_item['item_detail'].strip()

                batch_data.append({
                    'cookie_id': self.cookie_id,
                    'item_id': item_id,
                    'item_title': item.get('title', ''),
                    'item_description': '',  # 暂时为空
                    'item_category': str(item.get('category_id', '')),
                    'item_price': item.get('price_text', ''),
                    'item_detail': json.dumps(item_detail, ensure_ascii=False)
                })

                # 如果没有详情，添加到需要获取详情的列表
                if not has_detail:
                    items_need_detail.append({
                        'item_id': item_id,
                        'item_title': item.get('title', '')
                    })

            if not batch_data:
                logger.info("没有有效的商品数据需要保存")
                return 0

            # 使用批量保存方法（并发安全）
            saved_count = db_manager.batch_save_item_basic_info(batch_data)
            logger.info(f"批量保存商品信息完成: {saved_count}/{len(batch_data)} 个商品")

            # 异步获取缺失的商品详情
            if items_need_detail:
                from config import config
                auto_fetch_config = config.get('ITEM_DETAIL', {}).get('auto_fetch', {})

                if auto_fetch_config.get('enabled', True):
                    logger.info(f"发现 {len(items_need_detail)} 个商品缺少详情，开始获取...")
                    detail_success_count = await self._fetch_missing_item_details(items_need_detail)
                    logger.info(f"成功获取 {detail_success_count}/{len(items_need_detail)} 个商品的详情")
                else:
                    logger.info(f"发现 {len(items_need_detail)} 个商品缺少详情，但自动获取功能已禁用")

            return saved_count

        except Exception as e:
            logger.error(f"批量保存商品信息异常: {self._safe_str(e)}")
            return 0

    async def _fetch_missing_item_details(self, items_need_detail):
        """批量获取缺失的商品详情

        Args:
            items_need_detail: 需要获取详情的商品列表

        Returns:
            int: 成功获取详情的商品数量
        """
        success_count = 0

        try:
            from db_manager import db_manager
            from config import config

            # 从配置获取并发数量和延迟时间
            auto_fetch_config = config.get('ITEM_DETAIL', {}).get('auto_fetch', {})
            max_concurrent = auto_fetch_config.get('max_concurrent', 3)
            retry_delay = auto_fetch_config.get('retry_delay', 0.5)

            # 限制并发数量，避免对API服务器造成压力
            semaphore = asyncio.Semaphore(max_concurrent)

            async def fetch_single_item_detail(item_info):
                async with semaphore:
                    try:
                        item_id = item_info['item_id']
                        item_title = item_info['item_title']

                        # 获取商品详情
                        item_detail_text = await self.fetch_item_detail_from_api(item_id)

                        if item_detail_text:
                            # 保存详情到数据库
                            success = await self.save_item_detail_only(item_id, item_detail_text)
                            if success:
                                logger.info(f"✅ 成功获取并保存商品详情: {item_id} - {item_title}")
                                return 1
                            else:
                                logger.warning(f"❌ 获取详情成功但保存失败: {item_id}")
                        else:
                            logger.warning(f"❌ 未能获取商品详情: {item_id} - {item_title}")

                        # 添加延迟，避免请求过于频繁
                        await asyncio.sleep(retry_delay)
                        return 0

                    except Exception as e:
                        logger.error(f"获取单个商品详情异常: {item_info.get('item_id', 'unknown')}, 错误: {self._safe_str(e)}")
                        return 0

            # 并发获取所有商品详情
            tasks = [fetch_single_item_detail(item_info) for item_info in items_need_detail]
            results = await asyncio.gather(*tasks, return_exceptions=True)

            # 统计成功数量
            for result in results:
                if isinstance(result, int):
                    success_count += result
                elif isinstance(result, Exception):
                    logger.error(f"获取商品详情任务异常: {result}")

            return success_count

        except Exception as e:
            logger.error(f"批量获取商品详情异常: {self._safe_str(e)}")
            return success_count

    async def get_item_info(self, item_id, retry_count=0):
        """获取商品信息，自动处理token失效的情况"""
        if retry_count >= 4:  # 最多重试3次
            logger.error("获取商品信息失败，重试次数过多")
            return {"error": "获取商品信息失败，重试次数过多"}

        # 确保session已创建
        if not self.session:
            await self.create_session()

        params = {
            'jsv': '2.7.2',
            'appKey': '34839810',
            't': str(int(time.time()) * 1000),
            'sign': '',
            'v': '1.0',
            'type': 'originaljson',
            'accountSite': 'xianyu',
            'dataType': 'json',
            'timeout': '20000',
            'api': 'mtop.taobao.idle.pc.detail',
            'sessionOption': 'AutoLoginOnly',
            'spm_cnt': 'a21ybx.im.0.0',
        }

        data_val = '{"itemId":"' + item_id + '"}'
        data = {
            'data': data_val,
        }

        # 始终从最新的cookies中获取_m_h5_tk token（刷新后cookies会被更新）
        token = trans_cookies(self.cookies_str).get('_m_h5_tk', '').split('_')[0] if trans_cookies(self.cookies_str).get('_m_h5_tk') else ''

        if token:
            logger.warning(f"使用cookies中的_m_h5_tk token: {token}")
        else:
            logger.warning("cookies中没有找到_m_h5_tk token")

        from utils.xianyu_utils import generate_sign
        sign = generate_sign(params['t'], token, data_val)
        params['sign'] = sign

        try:
            async with self.session.post(
                'https://h5api.m.goofish.com/h5/mtop.taobao.idle.pc.detail/1.0/',
                params=params,
                data=data
            ) as response:
                res_json = await response.json()

                # 检查并更新Cookie
                if 'set-cookie' in response.headers:
                    new_cookies = {}
                    for cookie in response.headers.getall('set-cookie', []):
                        if '=' in cookie:
                            name, value = cookie.split(';')[0].split('=', 1)
                            new_cookies[name.strip()] = value.strip()

                    # 更新cookies
                    if new_cookies:
                        self.cookies.update(new_cookies)
                        # 生成新的cookie字符串
                        self.cookies_str = '; '.join([f"{k}={v}" for k, v in self.cookies.items()])
                        # 更新数据库中的Cookie
                        await self.update_config_cookies()
                        logger.warning("已更新Cookie到数据库")

                logger.warning(f"商品信息获取成功: {res_json}")
                # 检查返回状态
                if isinstance(res_json, dict):
                    ret_value = res_json.get('ret', [])
                    # 检查ret是否包含成功信息
                    if not any('SUCCESS::调用成功' in ret for ret in ret_value):
                        logger.warning(f"商品信息API调用失败，错误信息: {ret_value}")

                        await asyncio.sleep(0.5)
                        return await self.get_item_info(item_id, retry_count + 1)
                    else:
                        logger.warning(f"商品信息获取成功: {item_id}")
                        return res_json
                else:
                    logger.error(f"商品信息API返回格式异常: {res_json}")
                    return await self.get_item_info(item_id, retry_count + 1)

        except Exception as e:
            logger.error(f"商品信息API请求异常: {self._safe_str(e)}")
            await asyncio.sleep(0.5)
            return await self.get_item_info(item_id, retry_count + 1)

    def extract_item_id_from_message(self, message):
        """从消息中提取商品ID的辅助方法"""
        try:
            # 方法1: 从message["1"]中提取（如果是字符串格式）
            message_1 = message.get('1')
            if isinstance(message_1, str):
                # 尝试从字符串中提取数字ID
                id_match = re.search(r'(\d{10,})', message_1)
                if id_match:
                    logger.info(f"从message[1]字符串中提取商品ID: {id_match.group(1)}")
                    return id_match.group(1)

            # 方法2: 从message["3"]中提取
            message_3 = message.get('3', {})
            if isinstance(message_3, dict):

                # 从extension中提取
                if 'extension' in message_3:
                    extension = message_3['extension']
                    if isinstance(extension, dict):
                        item_id = extension.get('itemId') or extension.get('item_id')
                        if item_id:
                            logger.info(f"从extension中提取商品ID: {item_id}")
                            return item_id

                # 从bizData中提取
                if 'bizData' in message_3:
                    biz_data = message_3['bizData']
                    if isinstance(biz_data, dict):
                        item_id = biz_data.get('itemId') or biz_data.get('item_id')
                        if item_id:
                            logger.info(f"从bizData中提取商品ID: {item_id}")
                            return item_id

                # 从其他可能的字段中提取
                for key, value in message_3.items():
                    if isinstance(value, dict):
                        item_id = value.get('itemId') or value.get('item_id')
                        if item_id:
                            logger.info(f"从{key}字段中提取商品ID: {item_id}")
                            return item_id

                # 从消息内容中提取数字ID
                content = message_3.get('content', '')
                if isinstance(content, str) and content:
                    id_match = re.search(r'(\d{10,})', content)
                    if id_match:
                        logger.info(f"【{self.cookie_id}】从消息内容中提取商品ID: {id_match.group(1)}")
                        return id_match.group(1)

            # 方法3: 遍历整个消息结构查找可能的商品ID
            def find_item_id_recursive(obj, path=""):
                if isinstance(obj, dict):
                    # 直接查找itemId字段
                    for key in ['itemId', 'item_id', 'id']:
                        if key in obj and isinstance(obj[key], (str, int)):
                            value = str(obj[key])
                            if len(value) >= 10 and value.isdigit():
                                logger.info(f"从{path}.{key}中提取商品ID: {value}")
                                return value

                    # 递归查找
                    for key, value in obj.items():
                        result = find_item_id_recursive(value, f"{path}.{key}" if path else key)
                        if result:
                            return result

                elif isinstance(obj, str):
                    # 从字符串中提取可能的商品ID
                    id_match = re.search(r'(\d{10,})', obj)
                    if id_match:
                        logger.info(f"从{path}字符串中提取商品ID: {id_match.group(1)}")
                        return id_match.group(1)

                return None

            result = find_item_id_recursive(message)
            if result:
                return result

            logger.warning("所有方法都未能提取到商品ID")
            return None

        except Exception as e:
            logger.error(f"提取商品ID失败: {self._safe_str(e)}")
            return None

    def debug_message_structure(self, message, context=""):
        """调试消息结构的辅助方法"""
        try:
            logger.warning(f"[{context}] 消息结构调试:")
            logger.warning(f"  消息类型: {type(message)}")

            if isinstance(message, dict):
                for key, value in message.items():
                    logger.warning(f"  键 '{key}': {type(value)} - {str(value)[:100]}...")

                    # 特别关注可能包含商品ID的字段
                    if key in ["1", "3"] and isinstance(value, dict):
                        logger.warning(f"    详细结构 '{key}':")
                        for sub_key, sub_value in value.items():
                            logger.warning(f"      '{sub_key}': {type(sub_value)} - {str(sub_value)[:50]}...")
            else:
                logger.warning(f"  消息内容: {str(message)[:200]}...")

        except Exception as e:
            logger.error(f"调试消息结构时发生错误: {self._safe_str(e)}")

    async def get_default_reply(self, send_user_name: str, send_user_id: str, send_message: str, chat_id: str, item_id: str = None) -> dict:
        """获取默认回复内容，支持指定商品回复、变量替换、只回复一次功能和图片发送
        
        Returns:
            dict: 包含 'text' (文字回复) 和 'image_url' (图片URL，可选) 的字典
                  或 None (无回复)
                  或 "EMPTY_REPLY" (空回复标记)
        """
        try:
            from db_manager import db_manager

            # 1. 优先检查指定商品回复
            if item_id:
                item_reply = db_manager.get_item_reply(self.cookie_id, item_id)
                if item_reply and item_reply.get('reply_content'):
                    reply_content = item_reply['reply_content']
                    logger.info(f"【{self.cookie_id}】使用指定商品回复: 商品ID={item_id}")

                    # 进行变量替换
                    try:
                        formatted_reply = reply_content.format(
                            send_user_name=send_user_name,
                            send_user_id=send_user_id,
                            send_message=send_message,
                            item_id=item_id
                        )
                        logger.info(f"【{self.cookie_id}】指定商品回复内容: {formatted_reply}")
                        return {'text': formatted_reply, 'image_url': None}
                    except Exception as format_error:
                        logger.error(f"指定商品回复变量替换失败: {self._safe_str(format_error)}")
                        # 如果变量替换失败，返回原始内容
                        return {'text': reply_content, 'image_url': None}
                else:
                    logger.warning(f"【{self.cookie_id}】商品ID {item_id} 没有配置指定回复，使用默认回复")

            # 2. 获取当前账号的默认回复设置
            default_reply_settings = db_manager.get_default_reply(self.cookie_id)

            if not default_reply_settings or not default_reply_settings.get('enabled', False):
                logger.warning(f"账号 {self.cookie_id} 未启用默认回复")
                return None

            # 检查"只回复一次"功能
            if default_reply_settings.get('reply_once', False) and chat_id:
                # 检查是否已经回复过这个chat_id
                if db_manager.has_default_reply_record(self.cookie_id, chat_id):
                    logger.info(f"【{self.cookie_id}】chat_id {chat_id} 已使用过默认回复，跳过（只回复一次）")
                    return None

            reply_content = default_reply_settings.get('reply_content', '')
            reply_image_url = default_reply_settings.get('reply_image_url', '')
            
            # 如果文字和图片都为空，返回空回复标记
            if (not reply_content or reply_content.strip() == '') and (not reply_image_url or reply_image_url.strip() == ''):
                logger.info(f"账号 {self.cookie_id} 默认回复内容和图片都为空，不进行回复")
                return "EMPTY_REPLY"  # 返回特殊标记表示不回复

            # 进行变量替换
            try:
                # 获取当前商品是否有设置自动回复
                item_replay = db_manager.get_item_replay(item_id)

                formatted_reply = reply_content.format(
                    send_user_name=send_user_name,
                    send_user_id=send_user_id,
                    send_message=send_message
                ) if reply_content else ''

                if item_replay:
                    formatted_reply = item_replay.get('reply_content', '')

                # 如果开启了"只回复一次"功能，记录这次回复
                if default_reply_settings.get('reply_once', False) and chat_id:
                    db_manager.add_default_reply_record(self.cookie_id, chat_id)
                    logger.info(f"【{self.cookie_id}】记录默认回复: chat_id={chat_id}")

                logger.info(f"【{self.cookie_id}】使用默认回复: 文字={formatted_reply}, 图片={reply_image_url}")
                return {'text': formatted_reply, 'image_url': reply_image_url if reply_image_url and reply_image_url.strip() else None}
            except Exception as format_error:
                logger.error(f"默认回复变量替换失败: {self._safe_str(format_error)}")
                # 如果变量替换失败，返回原始内容
                return {'text': reply_content, 'image_url': reply_image_url if reply_image_url and reply_image_url.strip() else None}

        except Exception as e:
            logger.error(f"获取默认回复失败: {self._safe_str(e)}")
            return None

    async def get_keyword_reply(self, send_user_name: str, send_user_id: str, send_message: str, item_id: str = None) -> str:
        """获取关键词匹配回复（支持商品ID优先匹配和图片类型）"""
        try:
            from db_manager import db_manager

            # 获取当前账号的关键词列表（包含类型信息）
            keywords = db_manager.get_keywords_with_type(self.cookie_id)

            if not keywords:
                logger.warning(f"账号 {self.cookie_id} 没有配置关键词")
                return None

            # 1. 如果有商品ID，优先匹配该商品ID对应的关键词
            if item_id:
                for keyword_data in keywords:
                    keyword = keyword_data['keyword']
                    reply = keyword_data['reply']
                    keyword_item_id = keyword_data['item_id']
                    keyword_type = keyword_data.get('type', 'text')
                    image_url = keyword_data.get('image_url')

                    if keyword_item_id == item_id and keyword.lower() in send_message.lower():
                        logger.info(f"商品ID关键词匹配成功: 商品{item_id} '{keyword}' (类型: {keyword_type})")

                        # 根据关键词类型处理
                        if keyword_type == 'image' and image_url:
                            # 图片类型关键词，发送图片
                            return await self._handle_image_keyword(keyword, image_url, send_user_name, send_user_id, send_message)
                        else:
                            # 文本类型关键词，检查回复内容是否为空
                            if not reply or (reply and reply.strip() == ''):
                                logger.info(f"商品ID关键词 '{keyword}' 回复内容为空，不进行回复")
                                return "EMPTY_REPLY"  # 返回特殊标记表示匹配到但不回复

                            # 进行变量替换
                            try:
                                formatted_reply = reply.format(
                                    send_user_name=send_user_name,
                                    send_user_id=send_user_id,
                                    send_message=send_message
                                )
                                logger.info(f"商品ID文本关键词回复: {formatted_reply}")
                                return formatted_reply
                            except Exception as format_error:
                                logger.error(f"关键词回复变量替换失败: {self._safe_str(format_error)}")
                                # 如果变量替换失败，返回原始内容
                                return reply

            # 2. 如果商品ID匹配失败或没有商品ID，匹配没有商品ID的通用关键词
            for keyword_data in keywords:
                keyword = keyword_data['keyword']
                reply = keyword_data['reply']
                keyword_item_id = keyword_data['item_id']
                keyword_type = keyword_data.get('type', 'text')
                image_url = keyword_data.get('image_url')

                if not keyword_item_id and keyword.lower() in send_message.lower():
                    logger.info(f"通用关键词匹配成功: '{keyword}' (类型: {keyword_type})")

                    # 根据关键词类型处理
                    if keyword_type == 'image' and image_url:
                        # 图片类型关键词，发送图片
                        return await self._handle_image_keyword(keyword, image_url, send_user_name, send_user_id, send_message)
                    else:
                        # 文本类型关键词，检查回复内容是否为空
                        if not reply or (reply and reply.strip() == ''):
                            logger.info(f"通用关键词 '{keyword}' 回复内容为空，不进行回复")
                            return "EMPTY_REPLY"  # 返回特殊标记表示匹配到但不回复

                        # 进行变量替换
                        try:
                            formatted_reply = reply.format(
                                send_user_name=send_user_name,
                                send_user_id=send_user_id,
                                send_message=send_message
                            )
                            logger.info(f"通用文本关键词回复: {formatted_reply}")
                            return formatted_reply
                        except Exception as format_error:
                            logger.error(f"关键词回复变量替换失败: {self._safe_str(format_error)}")
                            # 如果变量替换失败，返回原始内容
                            return reply

            logger.warning(f"未找到匹配的关键词: {send_message}")
            return None

        except Exception as e:
            logger.error(f"获取关键词回复失败: {self._safe_str(e)}")
            return None

    async def _handle_image_keyword(self, keyword: str, image_url: str, send_user_name: str, send_user_id: str, send_message: str) -> str:
        """处理图片类型关键词"""
        try:
            # 检查图片URL类型
            if self._is_cdn_url(image_url):
                # 已经是CDN链接，直接使用
                logger.info(f"使用已有的CDN图片链接: {image_url}")
                return f"__IMAGE_SEND__{image_url}"

            elif image_url.startswith('/static/uploads/') or image_url.startswith('static/uploads/'):
                # 本地图片，需要上传到闲鱼CDN
                local_image_path = image_url.replace('/static/uploads/', 'static/uploads/')
                if os.path.exists(local_image_path):
                    logger.info(f"准备上传本地图片到闲鱼CDN: {local_image_path}")

                    # 使用图片上传器上传到闲鱼CDN
                    from utils.image_uploader import ImageUploader
                    uploader = ImageUploader(self.cookies_str)

                    async with uploader:
                        cdn_url = await uploader.upload_image(local_image_path)
                        if cdn_url:
                            logger.info(f"图片上传成功，CDN URL: {cdn_url}")
                            # 更新数据库中的图片URL为CDN URL
                            await self._update_keyword_image_url(keyword, cdn_url)
                            image_url = cdn_url
                        else:
                            logger.error(f"图片上传失败: {local_image_path}")
                            logger.error(f"❌ Cookie可能已失效！请检查配置并更新Cookie")
                            return f"抱歉，图片发送失败（Cookie可能已失效，请检查日志）"
                else:
                    logger.error(f"本地图片文件不存在: {local_image_path}")
                    return f"抱歉，图片文件不存在。"

            else:
                # 其他类型的URL（可能是外部链接），直接使用
                logger.info(f"使用外部图片链接: {image_url}")

            # 发送图片（这里返回特殊标记，在调用处处理实际发送）
            return f"__IMAGE_SEND__{image_url}"

        except Exception as e:
            logger.error(f"处理图片关键词失败: {e}")
            return f"抱歉，图片发送失败: {str(e)}"

    def _is_cdn_url(self, url: str) -> bool:
        """检查URL是否是闲鱼CDN链接"""
        if not url:
            return False

        # 闲鱼CDN域名列表
        cdn_domains = [
            'gw.alicdn.com',
            'img.alicdn.com',
            'cloud.goofish.com',
            'goofish.com',
            'taobaocdn.com',
            'tbcdn.cn',
            'aliimg.com'
        ]

        # 检查是否包含CDN域名
        url_lower = url.lower()
        for domain in cdn_domains:
            if domain in url_lower:
                return True

        # 检查是否是HTTPS链接且包含图片特征
        if url_lower.startswith('https://') and any(ext in url_lower for ext in ['.jpg', '.jpeg', '.png', '.gif', '.webp']):
            return True

        return False

    async def _get_image_size_from_url(self, image_url: str) -> tuple:
        """从URL获取图片尺寸
        
        Args:
            image_url: 图片URL
            
        Returns:
            (width, height) 元组，失败返回 (None, None)
        """
        import aiohttp
        from io import BytesIO
        
        try:
            logger.info(f"【{self.cookie_id}】开始从URL获取图片尺寸: {image_url[:80]}...")
            
            # 不接受AVIF格式（PIL默认不支持），让CDN返回WEBP/JPEG等格式
            headers = {
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
                'Accept': 'image/jpeg,image/png,image/gif,image/webp,*/*;q=0.8',
                'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
                'Referer': 'https://www.goofish.com/',
            }
            
            async with aiohttp.ClientSession() as session:
                async with session.get(image_url, headers=headers, timeout=aiohttp.ClientTimeout(total=10)) as response:
                    if response.status == 200:
                        image_data = await response.read()
                        from PIL import Image
                        with Image.open(BytesIO(image_data)) as img:
                            width, height = img.size
                            logger.info(f"【{self.cookie_id}】解析图片尺寸成功: {width}x{height}")
                            return (width, height)
                    else:
                        logger.warning(f"【{self.cookie_id}】下载图片失败，HTTP状态码: {response.status}")
        except Exception as e:
            logger.warning(f"【{self.cookie_id}】从URL获取图片尺寸失败: {e}")
        
        return (None, None)

    async def _update_keyword_image_url(self, keyword: str, new_image_url: str):
        """更新关键词的图片URL"""
        try:
            from db_manager import db_manager
            success = db_manager.update_keyword_image_url(self.cookie_id, keyword, new_image_url)
            if success:
                logger.info(f"图片URL已更新: {keyword} -> {new_image_url}")
            else:
                logger.warning(f"图片URL更新失败: {keyword}")
        except Exception as e:
            logger.error(f"更新关键词图片URL失败: {e}")

    async def _update_card_image_url(self, card_id: int, new_image_url: str):
        """更新卡券的图片URL"""
        try:
            from db_manager import db_manager
            success = db_manager.update_card_image_url(card_id, new_image_url)
            if success:
                logger.info(f"卡券图片URL已更新: 卡券ID={card_id} -> {new_image_url}")
            else:
                logger.warning(f"卡券图片URL更新失败: 卡券ID={card_id}")
        except Exception as e:
            logger.error(f"更新卡券图片URL失败: {e}")

    async def _update_default_reply_image_url(self, new_image_url: str):
        """更新默认回复的图片URL为CDN URL"""
        try:
            from db_manager import db_manager
            success = db_manager.update_default_reply_image_url(self.cookie_id, new_image_url)
            if success:
                logger.info(f"【{self.cookie_id}】默认回复图片URL已更新: {new_image_url}")
            else:
                logger.warning(f"【{self.cookie_id}】默认回复图片URL更新失败")
        except Exception as e:
            logger.error(f"【{self.cookie_id}】更新默认回复图片URL失败: {e}")

    async def get_ai_reply(self, send_user_name: str, send_user_id: str, send_message: str, item_id: str, chat_id: str):
        """获取AI回复"""
        try:
            from ai_reply_engine import ai_reply_engine

            # 检查是否启用AI回复
            if not ai_reply_engine.is_ai_enabled(self.cookie_id):
                logger.warning(f"账号 {self.cookie_id} 未启用AI回复")
                return None

            # 从数据库获取商品信息
            from db_manager import db_manager
            item_info_raw = db_manager.get_item_info(self.cookie_id, item_id)

            if not item_info_raw:
                logger.warning(f"数据库中无商品信息: {item_id}")
                # 使用默认商品信息
                item_info = {
                    'title': '商品信息获取失败',
                    'price': 0,
                    'desc': '暂无商品描述'
                }
            else:
                # 解析数据库中的商品信息
                item_info = {
                    'title': item_info_raw.get('item_title', '未知商品'),
                    'price': self._parse_price(item_info_raw.get('item_price', '0')),
                    'desc': item_info_raw.get('item_detail', '暂无商品描述')
                }

            # 生成AI回复
            # 由于外部已实现防抖机制，跳过内部等待（skip_wait=True）
            reply = ai_reply_engine.generate_reply(
                message=send_message,
                item_info=item_info,
                chat_id=chat_id,
                cookie_id=self.cookie_id,
                user_id=send_user_id,
                item_id=item_id,
                skip_wait=True  # 跳过内部等待，因为外部已实现防抖
            )

            if reply:
                logger.info(f"【{self.cookie_id}】AI回复生成成功: {reply}")
                return reply
            else:
                logger.warning(f"AI回复生成失败")
                return None

        except Exception as e:
            logger.error(f"获取AI回复失败: {self._safe_str(e)}")
            return None

    def _parse_price(self, price_str: str) -> float:
        """解析价格字符串为数字"""
        try:
            if not price_str:
                return 0.0
            # 移除非数字字符，保留小数点
            price_clean = re.sub(r'[^\d.]', '', str(price_str))
            return float(price_clean) if price_clean else 0.0
        except:
            return 0.0

    async def send_notification(self, send_user_name: str, send_user_id: str, send_message: str, item_id: str = None, chat_id: str = None):
        """发送消息通知"""
        try:
            from db_manager import db_manager
            import aiohttp
            import hashlib

            # 过滤系统默认消息，不发送通知
            system_messages = [
                '发来一条消息',
                '发来一条新消息'
            ]

            if send_message in system_messages:
                logger.warning(f"📱 系统消息不发送通知: {send_message}")
                return

            # 生成通知的唯一标识（基于消息内容、chat_id、send_user_id）
            # 用于防重复发送
            notification_key = f"{chat_id or 'unknown'}_{send_user_id}_{send_message}"
            notification_hash = hashlib.md5(notification_key.encode('utf-8')).hexdigest()
            
            # 使用异步锁保护防重复检查，确保并发安全
            async with self.notification_lock:
                # 检查是否在冷却时间内已发送过相同的通知
                current_time = time.time()
                if notification_hash in self.last_notification_time:
                    time_since_last = current_time - self.last_notification_time[notification_hash]
                    if time_since_last < self.notification_cooldown:
                        remaining_seconds = int(self.notification_cooldown - time_since_last)
                        logger.warning(f"📱 通知在冷却期内（剩余 {remaining_seconds} 秒），跳过重复发送 - 账号: {self.cookie_id}, 买家: {send_user_name}, 消息: {send_message[:30]}...")
                        return
                
                # 更新通知发送时间
                self.last_notification_time[notification_hash] = current_time
                
                # 清理过期的通知记录（超过1小时的记录）
                expired_keys = [
                    key for key, timestamp in self.last_notification_time.items()
                    if current_time - timestamp > 3600  # 1小时
                ]
                for key in expired_keys:
                    del self.last_notification_time[key]

            logger.info(f"📱 开始发送消息通知 - 账号: {self.cookie_id}, 买家: {send_user_name}")

            # 获取当前账号的通知配置
            notifications = db_manager.get_account_notifications(self.cookie_id)

            if not notifications:
                logger.warning(f"📱 账号 {self.cookie_id} 未配置消息通知，跳过通知发送")
                return

            logger.info(f"📱 找到 {len(notifications)} 个通知渠道配置")

            # 构建通知消息
            notification_msg = f"🚨 接收消息通知\n\n" \
                             f"账号: {self.cookie_id}\n" \
                             f"买家: {send_user_name} (ID: {send_user_id})\n" \
                             f"商品ID: {item_id or '未知'}\n" \
                             f"聊天ID: {chat_id or '未知'}\n" \
                             f"消息内容: {send_message}\n" \
                             f"时间: {time.strftime('%Y-%m-%d %H:%M:%S')}\n\n"

            # 发送通知到各个渠道
            for i, notification in enumerate(notifications, 1):
                logger.info(f"📱 处理第 {i} 个通知渠道: {notification.get('channel_name', 'Unknown')}")

                if not notification.get('enabled', True):
                    logger.warning(f"📱 通知渠道 {notification.get('channel_name')} 已禁用，跳过")
                    continue

                channel_type = notification.get('channel_type')
                channel_config = notification.get('channel_config')

                logger.info(f"📱 渠道类型: {channel_type}, 配置: {channel_config}")

                try:
                    # 解析配置数据
                    config_data = self._parse_notification_config(channel_config)
                    logger.info(f"📱 解析后的配置数据: {config_data}")

                    match channel_type:
                        case 'ding_talk' | 'dingtalk':
                            logger.info(f"📱 开始发送钉钉通知...")
                            await self._send_dingtalk_notification(config_data, notification_msg)
                        case 'feishu' | 'lark':
                            logger.info(f"📱 开始发送飞书通知...")
                            await self._send_feishu_notification(config_data, notification_msg)
                        case 'bark':
                            logger.info(f"📱 开始发送Bark通知...")
                            await self._send_bark_notification(config_data, notification_msg)
                        case 'email':
                            logger.info(f"📱 开始发送邮件通知...")
                            await self._send_email_notification(config_data, notification_msg)
                        case 'webhook':
                            logger.info(f"📱 开始发送Webhook通知...")
                            await self._send_webhook_notification(config_data, notification_msg)
                        case 'wechat':
                            logger.info(f"📱 开始发送微信通知...")
                            await self._send_wechat_notification(config_data, notification_msg)
                        case 'telegram':
                            logger.info(f"📱 开始发送Telegram通知...")
                            await self._send_telegram_notification(config_data, notification_msg)
                        case _:
                            logger.warning(f"📱 不支持的通知渠道类型: {channel_type}")

                except Exception as notify_error:
                    logger.error(f"📱 发送通知失败 ({notification.get('channel_name', 'Unknown')}): {self._safe_str(notify_error)}")
                    import traceback
                    logger.error(f"📱 详细错误信息: {traceback.format_exc()}")

        except Exception as e:
            logger.error(f"📱 处理消息通知失败: {self._safe_str(e)}")
            import traceback
            logger.error(f"📱 详细错误信息: {traceback.format_exc()}")

    def _parse_notification_config(self, config: str) -> dict:
        """解析通知配置数据"""
        try:
            import json
            # 尝试解析JSON格式的配置
            return json.loads(config)
        except (json.JSONDecodeError, TypeError):
            # 兼容旧格式（直接字符串）
            return {"config": config}

    async def _send_dingtalk_notification(self, config_data: dict, message: str):
        """发送钉钉通知"""
        try:
            import aiohttp
            import json
            import hmac
            import hashlib
            import base64
            import time

            # 解析配置
            webhook_url = config_data.get('webhook_url') or config_data.get('config', '')
            secret = config_data.get('secret', '')

            webhook_url = webhook_url.strip() if webhook_url else ''
            if not webhook_url:
                logger.warning("钉钉通知配置为空")
                return

            # 如果有加签密钥，生成签名
            if secret:
                timestamp = str(round(time.time() * 1000))
                secret_enc = secret.encode('utf-8')
                string_to_sign = f'{timestamp}\n{secret}'
                string_to_sign_enc = string_to_sign.encode('utf-8')
                hmac_code = hmac.new(secret_enc, string_to_sign_enc, digestmod=hashlib.sha256).digest()
                sign = base64.b64encode(hmac_code).decode('utf-8')
                webhook_url += f'&timestamp={timestamp}&sign={sign}'

            data = {
                "msgtype": "markdown",
                "markdown": {
                    "title": "闲鱼自动回复通知",
                    "text": message
                }
            }

            async with aiohttp.ClientSession() as session:
                async with session.post(webhook_url, json=data, timeout=10) as response:
                    if response.status == 200:
                        logger.info(f"钉钉通知发送成功")
                    else:
                        logger.warning(f"钉钉通知发送失败: {response.status}")

        except Exception as e:
            logger.error(f"发送钉钉通知异常: {self._safe_str(e)}")

    async def _send_feishu_notification(self, config_data: dict, message: str):
        """发送飞书通知"""
        try:
            import aiohttp
            import json
            import hmac
            import hashlib
            import base64

            logger.info(f"📱 飞书通知 - 开始处理配置数据: {config_data}")

            # 解析配置
            webhook_url = config_data.get('webhook_url', '')
            secret = config_data.get('secret', '')

            logger.info(f"📱 飞书通知 - Webhook URL: {webhook_url[:50]}...")
            logger.info(f"📱 飞书通知 - 是否有签名密钥: {'是' if secret else '否'}")

            if not webhook_url:
                logger.warning("📱 飞书通知 - Webhook URL配置为空，无法发送通知")
                return

            # 如果有加签密钥，生成签名
            timestamp = str(int(time.time()))
            sign = ""

            if secret:
                string_to_sign = f'{timestamp}\n{secret}'
                hmac_code = hmac.new(
                    string_to_sign.encode('utf-8'),
                    ''.encode('utf-8'),
                    digestmod=hashlib.sha256
                ).digest()
                sign = base64.b64encode(hmac_code).decode('utf-8')
                logger.info(f"📱 飞书通知 - 已生成签名")

            # 构建请求数据
            data = {
                "msg_type": "text",
                "content": {
                    "text": message
                },
                "timestamp": timestamp
            }

            # 如果有签名，添加到请求数据中
            if sign:
                data["sign"] = sign

            logger.info(f"📱 飞书通知 - 请求数据构建完成")

            # 发送POST请求
            async with aiohttp.ClientSession() as session:
                async with session.post(webhook_url, json=data, timeout=10) as response:
                    response_text = await response.text()
                    logger.info(f"📱 飞书通知 - 响应状态: {response.status}")
                    logger.info(f"📱 飞书通知 - 响应内容: {response_text}")

                    if response.status == 200:
                        try:
                            response_json = json.loads(response_text)
                            if response_json.get('code') == 0:
                                logger.info(f"📱 飞书通知发送成功")
                            else:
                                logger.warning(f"📱 飞书通知发送失败: {response_json.get('msg', '未知错误')}")
                        except json.JSONDecodeError:
                            logger.info(f"📱 飞书通知发送成功（响应格式异常）")
                    else:
                        logger.warning(f"📱 飞书通知发送失败: HTTP {response.status}, 响应: {response_text}")

        except Exception as e:
            logger.error(f"📱 发送飞书通知异常: {self._safe_str(e)}")
            import traceback
            logger.error(f"📱 飞书通知异常详情: {traceback.format_exc()}")

    async def _send_bark_notification(self, config_data: dict, message: str):
        """发送Bark通知"""
        try:
            import aiohttp
            import json
            from urllib.parse import quote

            logger.info(f"📱 Bark通知 - 开始处理配置数据: {config_data}")

            # 解析配置
            server_url = config_data.get('server_url', 'https://api.day.app').rstrip('/')
            device_key = config_data.get('device_key', '')
            title = config_data.get('title', '闲鱼自动回复通知')
            sound = config_data.get('sound', 'default')
            icon = config_data.get('icon', '')
            group = config_data.get('group', 'xianyu')
            url = config_data.get('url', '')

            logger.info(f"📱 Bark通知 - 服务器: {server_url}")
            logger.info(f"📱 Bark通知 - 设备密钥: {device_key[:10]}..." if device_key else "📱 Bark通知 - 设备密钥: 未设置")
            logger.info(f"📱 Bark通知 - 标题: {title}")

            if not device_key:
                logger.warning("📱 Bark通知 - 设备密钥配置为空，无法发送通知")
                return

            # 构建请求URL和数据
            # Bark支持两种方式：URL路径方式和POST JSON方式
            # 这里使用POST JSON方式，更灵活且支持更多参数

            api_url = f"{server_url}/push"

            # 构建请求数据
            data = {
                "device_key": device_key,
                "title": title,
                "body": message,
                "sound": sound,
                "group": group
            }

            # 可选参数
            if icon:
                data["icon"] = icon
            if url:
                data["url"] = url

            logger.info(f"📱 Bark通知 - API地址: {api_url}")
            logger.info(f"📱 Bark通知 - 请求数据构建完成")

            # 发送POST请求
            async with aiohttp.ClientSession() as session:
                async with session.post(api_url, json=data, timeout=10) as response:
                    response_text = await response.text()
                    logger.info(f"📱 Bark通知 - 响应状态: {response.status}")
                    logger.info(f"📱 Bark通知 - 响应内容: {response_text}")

                    if response.status == 200:
                        try:
                            response_json = json.loads(response_text)
                            if response_json.get('code') == 200:
                                logger.info(f"📱 Bark通知发送成功")
                            else:
                                logger.warning(f"📱 Bark通知发送失败: {response_json.get('message', '未知错误')}")
                        except json.JSONDecodeError:
                            # 某些Bark服务器可能返回纯文本
                            if 'success' in response_text.lower() or 'ok' in response_text.lower():
                                logger.info(f"📱 Bark通知发送成功")
                            else:
                                logger.warning(f"📱 Bark通知响应格式异常: {response_text}")
                    else:
                        logger.warning(f"📱 Bark通知发送失败: HTTP {response.status}, 响应: {response_text}")

        except Exception as e:
            logger.error(f"📱 发送Bark通知异常: {self._safe_str(e)}")
            import traceback
            logger.error(f"📱 Bark通知异常详情: {traceback.format_exc()}")

    async def _send_email_notification(self, config_data: dict, message: str, attachment_path: str = None):
        """发送邮件通知（支持附件）
        
        Args:
            config_data: 邮件配置
            message: 邮件正文
            attachment_path: 附件文件路径（可选）
        """
        try:
            import smtplib
            from email.mime.text import MIMEText
            from email.mime.multipart import MIMEMultipart
            from email.mime.image import MIMEImage
            import os

            # 解析配置
            smtp_server = config_data.get('smtp_server', '')
            smtp_port = int(config_data.get('smtp_port', 587))
            email_user = config_data.get('email_user', '')
            email_password = config_data.get('email_password', '')
            recipient_email = config_data.get('recipient_email', '')
            smtp_use_tls = config_data.get('smtp_use_tls', smtp_port == 587)  # 修复：添加变量定义

            if not all([smtp_server, email_user, email_password, recipient_email]):
                logger.warning("邮件通知配置不完整")
                return

            # 创建邮件
            msg = MIMEMultipart()
            msg['From'] = email_user
            msg['To'] = recipient_email
            msg['Subject'] = "闲鱼自动回复通知"

            # 添加邮件正文
            msg.attach(MIMEText(message, 'plain', 'utf-8'))

            # 添加附件（如果有）
            if attachment_path and os.path.exists(attachment_path):
                try:
                    with open(attachment_path, 'rb') as f:
                        img_data = f.read()
                    
                    # 根据文件扩展名判断MIME类型
                    filename = os.path.basename(attachment_path)
                    if attachment_path.lower().endswith(('.png', '.jpg', '.jpeg', '.gif')):
                        img = MIMEImage(img_data)
                        img.add_header('Content-Disposition', 'attachment', filename=filename)
                        msg.attach(img)
                        logger.info(f"已添加图片附件: {filename}")
                    else:
                        from email.mime.application import MIMEApplication
                        attach = MIMEApplication(img_data)
                        attach.add_header('Content-Disposition', 'attachment', filename=filename)
                        msg.attach(attach)
                        logger.info(f"已添加附件: {filename}")
                except Exception as attach_error:
                    logger.error(f"添加邮件附件失败: {self._safe_str(attach_error)}")

            # 发送邮件
            server = None
            try:
                if smtp_port == 465:
                    # 使用SSL连接（端口465）
                    server = smtplib.SMTP_SSL(smtp_server, smtp_port, timeout=30)
                else:
                    # 使用普通连接，然后升级到TLS（端口587）
                    server = smtplib.SMTP(smtp_server, smtp_port, timeout=30)
                    if smtp_use_tls:
                        server.starttls()
                
                # 尝试登录
                try:
                    server.login(email_user, email_password)
                except smtplib.SMTPAuthenticationError as auth_error:
                    error_code = auth_error.smtp_code if hasattr(auth_error, 'smtp_code') else None
                    error_msg = str(auth_error)
                    
                    # 提供详细的错误提示
                    logger.error(f"邮件SMTP认证失败 (错误码: {error_code})")
                    logger.error(f"邮箱地址: {email_user}")
                    logger.error(f"SMTP服务器: {smtp_server}:{smtp_port}")
                    logger.error(f"错误详情: {error_msg}")
                    
                    # 根据常见错误提供解决建议
                    suggestions = []
                    if 'qq.com' in email_user.lower() or 'qq' in smtp_server.lower():
                        suggestions.append("QQ邮箱需要使用授权码而不是登录密码")
                        suggestions.append("请到QQ邮箱设置 -> 账户 -> 开启SMTP服务 -> 生成授权码")
                    elif 'gmail.com' in email_user.lower() or 'gmail' in smtp_server.lower():
                        suggestions.append("Gmail需要使用应用专用密码")
                        suggestions.append("请到Google账户 -> 安全性 -> 两步验证 -> 应用专用密码")
                        suggestions.append("或启用'允许不够安全的应用访问'（不推荐）")
                    elif '163.com' in email_user.lower() or '126.com' in email_user.lower() or 'yeah.net' in email_user.lower():
                        suggestions.append("网易邮箱需要使用授权码")
                        suggestions.append("请到邮箱设置 -> POP3/SMTP/IMAP -> 开启SMTP服务 -> 生成授权码")
                    else:
                        suggestions.append("请检查邮箱密码/授权码是否正确")
                        suggestions.append("某些邮箱服务商需要使用授权码而不是登录密码")
                        suggestions.append("请查看邮箱服务商的SMTP设置说明")
                    
                    if suggestions:
                        logger.error("解决建议:")
                        for i, suggestion in enumerate(suggestions, 1):
                            logger.error(f"  {i}. {suggestion}")
                    
                    raise  # 重新抛出异常
                
                server.send_message(msg)
                logger.info(f"邮件通知发送成功: {recipient_email}")

            finally:
                # 确保关闭连接
                if server:
                    try:
                        server.quit()
                    except:
                        try:
                            server.close()
                        except:
                            pass

        except smtplib.SMTPAuthenticationError:
            # 认证错误已在上面处理，这里不再重复记录
            pass
        except smtplib.SMTPException as smtp_error:
            logger.error(f"SMTP协议错误: {self._safe_str(smtp_error)}")
            logger.error(f"SMTP服务器: {smtp_server}:{smtp_port}")
            logger.error(f"请检查SMTP服务器地址和端口配置是否正确")
        except Exception as e:
            logger.error(f"发送邮件通知异常: {self._safe_str(e)}")
            import traceback
            logger.error(f"邮件发送详细错误: {traceback.format_exc()}")

    async def _send_webhook_notification(self, config_data: dict, message: str):
        """发送Webhook通知"""
        try:
            import aiohttp
            import json

            # 解析配置
            webhook_url = config_data.get('webhook_url', '')
            http_method = config_data.get('http_method', 'POST').upper()
            headers_str = config_data.get('headers', '{}')

            if not webhook_url:
                logger.warning("Webhook通知配置为空")
                return

            # 解析自定义请求头
            try:
                custom_headers = json.loads(headers_str) if headers_str else {}
            except json.JSONDecodeError:
                custom_headers = {}

            # 设置默认请求头
            headers = {'Content-Type': 'application/json'}
            headers.update(custom_headers)

            # 构建请求数据
            data = {
                'message': message,
                'timestamp': time.strftime('%Y-%m-%d %H:%M:%S'),
                'source': 'xianyu-auto-reply'
            }

            async with aiohttp.ClientSession() as session:
                if http_method == 'POST':
                    async with session.post(webhook_url, json=data, headers=headers, timeout=10) as response:
                        if response.status == 200:
                            logger.info(f"Webhook通知发送成功")
                        else:
                            logger.warning(f"Webhook通知发送失败: {response.status}")
                elif http_method == 'PUT':
                    async with session.put(webhook_url, json=data, headers=headers, timeout=10) as response:
                        if response.status == 200:
                            logger.info(f"Webhook通知发送成功")
                        else:
                            logger.warning(f"Webhook通知发送失败: {response.status}")
                else:
                    logger.warning(f"不支持的HTTP方法: {http_method}")

        except Exception as e:
            logger.error(f"发送Webhook通知异常: {self._safe_str(e)}")

    async def _send_wechat_notification(self, config_data: dict, message: str):
        """发送微信通知"""
        try:
            import aiohttp
            import json

            # 解析配置
            webhook_url = config_data.get('webhook_url', '')

            if not webhook_url:
                logger.warning("微信通知配置为空")
                return

            data = {
                "msgtype": "text",
                "text": {
                    "content": message
                }
            }

            async with aiohttp.ClientSession() as session:
                async with session.post(webhook_url, json=data, timeout=10) as response:
                    if response.status == 200:
                        logger.info(f"微信通知发送成功")
                    else:
                        logger.warning(f"微信通知发送失败: {response.status}")

        except Exception as e:
            logger.error(f"发送微信通知异常: {self._safe_str(e)}")

    async def _send_telegram_notification(self, config_data: dict, message: str):
        """发送Telegram通知"""
        try:
            import aiohttp

            # 解析配置
            bot_token = config_data.get('bot_token', '')
            chat_id = config_data.get('chat_id', '')

            if not all([bot_token, chat_id]):
                logger.warning("Telegram通知配置不完整")
                return

            # 构建API URL
            api_url = f"https://api.telegram.org/bot{bot_token}/sendMessage"

            data = {
                'chat_id': chat_id,
                'text': message,
                'parse_mode': 'HTML'
            }

            async with aiohttp.ClientSession() as session:
                async with session.post(api_url, json=data, timeout=10) as response:
                    if response.status == 200:
                        logger.info(f"Telegram通知发送成功")
                    else:
                        logger.warning(f"Telegram通知发送失败: {response.status}")

        except Exception as e:
            logger.error(f"发送Telegram通知异常: {self._safe_str(e)}")

    async def send_token_refresh_notification(self, error_message: str, notification_type: str = "token_refresh", chat_id: str = None, attachment_path: str = None, verification_url: str = None):
        """发送Token刷新异常通知（带防重复机制，支持附件）
        
        Args:
            error_message: 错误消息
            notification_type: 通知类型
            chat_id: 聊天ID（可选）
            attachment_path: 附件路径（可选，用于发送截图）
        """
        try:
            # 检查是否是正常的令牌过期，这种情况不需要发送通知
            if self._is_normal_token_expiry(error_message):
                logger.warning(f"检测到正常的令牌过期，跳过通知: {error_message}")
                return

            # 检查是否在冷却期内
            current_time = time.time()
            last_time = self.last_notification_time.get(notification_type, 0)

            # 为Token刷新异常通知使用特殊的3小时冷却时间
            # 基于错误消息内容判断是否为Token相关异常
            if self._is_token_related_error(error_message):
                cooldown_time = self.token_refresh_notification_cooldown
                cooldown_desc = "3小时"
            else:
                cooldown_time = self.notification_cooldown
                cooldown_desc = f"{self.notification_cooldown // 60}分钟"

            if current_time - last_time < cooldown_time:
                remaining_time = cooldown_time - (current_time - last_time)
                remaining_hours = int(remaining_time // 3600)
                remaining_minutes = int((remaining_time % 3600) // 60)
                remaining_seconds = int(remaining_time % 60)

                if remaining_hours > 0:
                    time_desc = f"{remaining_hours}小时{remaining_minutes}分钟"
                elif remaining_minutes > 0:
                    time_desc = f"{remaining_minutes}分钟{remaining_seconds}秒"
                else:
                    time_desc = f"{remaining_seconds}秒"

                logger.warning(f"Token刷新通知在冷却期内，跳过发送: {notification_type} (还需等待 {time_desc})")
                return

            from db_manager import db_manager

            # 获取当前账号的通知配置
            notifications = db_manager.get_account_notifications(self.cookie_id)

            if not notifications:
                logger.warning("未配置消息通知，跳过Token刷新通知")
                return

            # 构造通知消息
            # 判断异常信息中是否包含"滑块验证成功"
            if "滑块验证成功" in error_message:
                notification_msg = f"{error_message}\n\n" \
                                  f"账号: {self.cookie_id}\n" \
                                  f"时间: {time.strftime('%Y-%m-%d %H:%M:%S')}\n"
            elif verification_url:
                # 如果有验证链接，添加到消息中
                notification_msg = f"{error_message}\n\n" \
                                  f"账号: {self.cookie_id}\n" \
                                  f"时间: {time.strftime('%Y-%m-%d %H:%M:%S')}\n\n" \
                                  f"验证链接: {verification_url}\n"
            else:
                notification_msg = f"Token刷新异常\n\n" \
                                  f"账号ID: {self.cookie_id}\n" \
                                  f"异常时间: {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())}\n" \
                                  f"异常信息: {error_message}\n\n" \
                                  f"请检查账号Cookie是否过期，如有需要请及时更新Cookie配置。\n"

            logger.info(f"准备发送Token刷新异常通知: {self.cookie_id}")

            # 发送通知到各个渠道
            notification_sent = False
            for notification in notifications:
                if not notification.get('enabled', True):
                    continue

                channel_type = notification.get('channel_type')
                channel_config = notification.get('channel_config')

                try:
                    # 解析配置数据
                    config_data = self._parse_notification_config(channel_config)

                    match channel_type:
                        case 'ding_talk' | 'dingtalk':
                            await self._send_dingtalk_notification(config_data, notification_msg)
                            notification_sent = True
                        case 'feishu' | 'lark':
                            await self._send_feishu_notification(config_data, notification_msg)
                            notification_sent = True
                        case 'bark':
                            await self._send_bark_notification(config_data, notification_msg)
                            notification_sent = True
                        case 'email':
                            # 邮件支持附件
                            await self._send_email_notification(config_data, notification_msg, attachment_path)
                            notification_sent = True
                        case 'webhook':
                            await self._send_webhook_notification(config_data, notification_msg)
                            notification_sent = True
                        case 'wechat':
                            await self._send_wechat_notification(config_data, notification_msg)
                            notification_sent = True
                        case 'telegram':
                            await self._send_telegram_notification(config_data, notification_msg)
                            notification_sent = True
                        case _:
                            logger.warning(f"不支持的通知渠道类型: {channel_type}")

                except Exception as notify_error:
                    logger.error(f"发送Token刷新通知失败 ({notification.get('channel_name', 'Unknown')}): {self._safe_str(notify_error)}")

            # 如果成功发送了通知，更新最后发送时间
            if notification_sent:
                self.last_notification_time[notification_type] = current_time

                # 根据错误消息内容使用不同的冷却时间
                if self._is_token_related_error(error_message):
                    next_send_time = current_time + self.token_refresh_notification_cooldown
                    cooldown_desc = "3小时"
                else:
                    next_send_time = current_time + self.notification_cooldown
                    cooldown_desc = f"{self.notification_cooldown // 60}分钟"

                next_send_time_str = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(next_send_time))
                logger.info(f"Token刷新通知已发送，下次可发送时间: {next_send_time_str} (冷却时间: {cooldown_desc})")

        except Exception as e:
            logger.error(f"处理Token刷新通知失败: {self._safe_str(e)}")

    def _is_normal_token_expiry(self, error_message: str) -> bool:
        """检查是否是正常的令牌过期或其他不需要通知的情况"""
        # 不需要发送通知的关键词
        no_notification_keywords = [
            # 正常的令牌过期
            'FAIL_SYS_TOKEN_EXOIRED::令牌过期',
            'FAIL_SYS_TOKEN_EXPIRED::令牌过期',
            'FAIL_SYS_TOKEN_EXOIRED',
            'FAIL_SYS_TOKEN_EXPIRED',
            '令牌过期',
            # Session过期（正常情况）
            'FAIL_SYS_SESSION_EXPIRED::Session过期',
            'FAIL_SYS_SESSION_EXPIRED',
            'Session过期',
            # Token定时刷新失败（会自动重试）
            'Token定时刷新失败，将自动重试',
            'Token定时刷新失败'
        ]

        # 检查错误消息是否包含不需要通知的关键词
        for keyword in no_notification_keywords:
            if keyword in error_message:
                return True

        return False

    def _is_token_related_error(self, error_message: str) -> bool:
        """检查是否是Token相关的错误，需要使用3小时冷却时间"""
        # Token相关错误的关键词
        token_error_keywords = [
            # Token刷新失败相关
            'Token刷新失败',
            'Token刷新异常',
            'token刷新失败',
            'token刷新异常',
            'TOKEN刷新失败',
            'TOKEN刷新异常',
            # 具体的Token错误信息
            'FAIL_SYS_USER_VALIDATE',
            'RGV587_ERROR',
            '哎哟喂,被挤爆啦',
            '请稍后重试',
            'punish?x5secdata',
            'captcha',
            # Token获取失败
            '无法获取有效token',
            '无法获取有效Token',
            'Token获取失败',
            'token获取失败',
            'TOKEN获取失败',
            # Token定时刷新失败
            'Token定时刷新失败',
            'token定时刷新失败',
            'TOKEN定时刷新失败',
            # 初始化Token失败
            '初始化时无法获取有效Token',
            '初始化时无法获取有效token',
            # 其他Token相关错误
            'accessToken',
            'access_token',
            '_m_h5_tk',
            'mtop.taobao.idlemessage.pc.login.token'
        ]

        # 检查错误消息是否包含Token相关的关键词
        error_message_lower = error_message.lower()
        for keyword in token_error_keywords:
            if keyword.lower() in error_message_lower:
                return True

        return False

    async def send_delivery_failure_notification(self, send_user_name: str, send_user_id: str, item_id: str, error_message: str, chat_id: str = None):
        """发送自动发货失败通知"""
        try:
            from db_manager import db_manager

            # 获取当前账号的通知配置
            notifications = db_manager.get_account_notifications(self.cookie_id)

            if not notifications:
                logger.warning("未配置消息通知，跳过自动发货通知")
                return

            # 构造通知消息
            notification_message = f"🚨 自动发货通知\n\n" \
                                 f"账号: {self.cookie_id}\n" \
                                 f"买家: {send_user_name} (ID: {send_user_id})\n" \
                                 f"商品ID: {item_id}\n" \
                                 f"聊天ID: {chat_id or '未知'}\n" \
                                 f"结果: {error_message}\n" \
                                 f"时间: {time.strftime('%Y-%m-%d %H:%M:%S')}\n\n" \
                                 f"请及时处理！"

            # 发送通知到所有已启用的通知渠道
            for notification in notifications:
                if notification.get('enabled', False):
                    channel_type = notification.get('channel_type', 'qq')
                    channel_config = notification.get('channel_config', '')

                    try:
                        # 解析配置数据
                        config_data = self._parse_notification_config(channel_config)

                        match channel_type:
                            case 'ding_talk' | 'dingtalk':
                                await self._send_dingtalk_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到钉钉")
                            case 'email':
                                await self._send_email_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到邮箱")
                            case 'webhook':
                                await self._send_webhook_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到Webhook")
                            case 'wechat':
                                await self._send_wechat_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到微信")
                            case 'telegram':
                                await self._send_telegram_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到Telegram")
                            case 'bark':
                                await self._send_bark_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到Bark")
                            case 'feishu' | 'lark':
                                await self._send_feishu_notification(config_data, notification_message)
                                logger.info(f"已发送自动发货通知到飞书")
                            case _:
                                logger.warning(f"不支持的通知渠道类型: {channel_type}")

                    except Exception as notify_error:
                        logger.error(f"发送自动发货通知失败: {self._safe_str(notify_error)}")

        except Exception as e:
            logger.error(f"发送自动发货通知异常: {self._safe_str(e)}")

    async def auto_confirm(self, order_id, item_id=None, retry_count=0):
        """自动确认发货 - 使用加密模块，不包含延时处理（延时已在_auto_delivery中处理）"""
        try:
            logger.warning(f"【{self.cookie_id}】开始确认发货，订单ID: {order_id}")

            # 导入解密后的确认发货模块
            from secure_confirm_decrypted import SecureConfirm

            # 创建确认实例，传入主界面类实例
            secure_confirm = SecureConfirm(self.session, self.cookies_str, self.cookie_id, self)

            # 传递必要的属性
            secure_confirm.current_token = self.current_token
            secure_confirm.last_token_refresh_time = self.last_token_refresh_time
            secure_confirm.token_refresh_interval = self.token_refresh_interval

            # 调用确认方法，传入item_id用于token刷新
            result = await secure_confirm.auto_confirm(order_id, item_id, retry_count)

            # 同步更新后的cookies和token
            if secure_confirm.cookies_str != self.cookies_str:
                self.cookies_str = secure_confirm.cookies_str
                self.cookies = secure_confirm.cookies
                logger.warning(f"【{self.cookie_id}】已同步确认发货模块更新的cookies")

            if secure_confirm.current_token != self.current_token:
                self.current_token = secure_confirm.current_token
                self.last_token_refresh_time = secure_confirm.last_token_refresh_time
                logger.warning(f"【{self.cookie_id}】已同步确认发货模块更新的token")

            return result

        except Exception as e:
            logger.error(f"【{self.cookie_id}】加密确认模块调用失败: {self._safe_str(e)}")
            return {"error": f"加密确认模块调用失败: {self._safe_str(e)}", "order_id": order_id}

    async def auto_freeshipping(self, order_id, item_id, buyer_id, retry_count=0):
        """自动免拼发货 - 使用解密模块"""
        try:
            logger.warning(f"【{self.cookie_id}】开始免拼发货，订单ID: {order_id}")

            # 导入解密后的免拼发货模块
            from secure_freeshipping_decrypted import SecureFreeshipping

            # 创建免拼发货实例
            secure_freeshipping = SecureFreeshipping(self.session, self.cookies_str, self.cookie_id)

            # 传递必要的属性
            secure_freeshipping.current_token = self.current_token
            secure_freeshipping.last_token_refresh_time = self.last_token_refresh_time
            secure_freeshipping.token_refresh_interval = self.token_refresh_interval

            # 调用免拼发货方法
            return await secure_freeshipping.auto_freeshipping(order_id, item_id, buyer_id, retry_count)

        except Exception as e:
            logger.error(f"【{self.cookie_id}】免拼发货模块调用失败: {self._safe_str(e)}")
            return {"error": f"免拼发货模块调用失败: {self._safe_str(e)}", "order_id": order_id}

    async def fetch_order_detail_info(self, order_id: str, item_id: str = None, buyer_id: str = None, debug_headless: bool = None):
        """获取订单详情信息（使用独立的锁机制，不受延迟锁影响）"""
        # 使用独立的订单详情锁，不与自动发货锁冲突
        order_detail_lock = self._order_detail_locks[order_id]

        # 记录订单详情锁的使用时间
        self._order_detail_lock_times[order_id] = time.time()

        async with order_detail_lock:
            logger.info(f"🔍 【{self.cookie_id}】获取订单详情锁 {order_id}，开始处理...")
            
            try:
                logger.info(f"【{self.cookie_id}】开始获取订单详情: {order_id}")

                # 导入订单详情获取器
                from utils.order_detail_fetcher import fetch_order_detail_simple
                from db_manager import db_manager

                # 获取当前账号的cookie字符串
                cookie_string = self.cookies_str
                logger.warning(f"【{self.cookie_id}】使用Cookie长度: {len(cookie_string) if cookie_string else 0}")

                # 确定是否使用有头模式（调试用）
                headless_mode = True if debug_headless is None else debug_headless
                if not headless_mode:
                    logger.info(f"【{self.cookie_id}】🖥️ 启用有头模式进行调试")

                # 异步获取订单详情（使用当前账号的cookie）
                result = await fetch_order_detail_simple(order_id, cookie_string, headless=headless_mode)

                if result:
                    logger.info(f"【{self.cookie_id}】订单详情获取成功: {order_id}")
                    logger.info(f"【{self.cookie_id}】页面标题: {result.get('title', '未知')}")

                    # 获取解析后的规格信息
                    spec_name = result.get('spec_name', '')
                    spec_value = result.get('spec_value', '')
                    quantity = result.get('quantity', '')
                    amount = result.get('amount', '')

                    if spec_name and spec_value:
                        logger.info(f"【{self.cookie_id}】📋 规格名称: {spec_name}")
                        logger.info(f"【{self.cookie_id}】📝 规格值: {spec_value}")
                        print(f"🛍️ 【{self.cookie_id}】订单 {order_id} 规格信息: {spec_name} -> {spec_value}")
                    else:
                        logger.warning(f"【{self.cookie_id}】未获取到有效的规格信息")
                        print(f"⚠️ 【{self.cookie_id}】订单 {order_id} 规格信息获取失败")

                    # 插入或更新订单信息到数据库
                    try:
                        # 检查cookie_id是否在cookies表中存在
                        cookie_info = db_manager.get_cookie_by_id(self.cookie_id)
                        if not cookie_info:
                            logger.warning(f"Cookie ID {self.cookie_id} 不存在于cookies表中，丢弃订单 {order_id}")
                        else:
                            # 先保存订单基本信息
                            success = db_manager.insert_or_update_order(
                                order_id=order_id,
                                item_id=item_id,
                                buyer_id=buyer_id,
                                spec_name=spec_name,
                                spec_value=spec_value,
                                quantity=quantity,
                                amount=amount,
                                order_status='processing',
                                cookie_id=self.cookie_id
                            )
                            
                            # 使用订单状态处理器设置状态
                            logger.info(f"【{self.cookie_id}】检查订单状态处理器调用条件: success={success}, handler_exists={self.order_status_handler is not None}")
                            if success and self.order_status_handler:
                                logger.info(f"【{self.cookie_id}】准备调用订单状态处理器.handle_order_detail_fetched_status: {order_id}")
                                try:
                                    handler_result = self.order_status_handler.handle_order_detail_fetched_status(
                                        order_id=order_id,
                                        cookie_id=self.cookie_id,
                                        context="订单详情已拉取"
                                    )
                                    logger.info(f"【{self.cookie_id}】订单状态处理器.handle_order_detail_fetched_status返回结果: {handler_result}")
                                    
                                    # 处理待处理队列
                                    logger.info(f"【{self.cookie_id}】准备调用订单状态处理器.on_order_details_fetched: {order_id}")
                                    self.order_status_handler.on_order_details_fetched(order_id)
                                    logger.info(f"【{self.cookie_id}】订单状态处理器.on_order_details_fetched调用成功: {order_id}")
                                except Exception as e:
                                    logger.error(f"【{self.cookie_id}】订单状态处理器调用失败: {self._safe_str(e)}")
                                    import traceback
                                    logger.error(f"【{self.cookie_id}】详细错误信息: {traceback.format_exc()}")
                            else:
                                logger.warning(f"【{self.cookie_id}】订单状态处理器调用条件不满足: success={success}, handler_exists={self.order_status_handler is not None}")

                            if success:
                                logger.info(f"【{self.cookie_id}】订单信息已保存到数据库: {order_id}")
                                print(f"💾 【{self.cookie_id}】订单 {order_id} 信息已保存到数据库")
                            else:
                                logger.warning(f"【{self.cookie_id}】订单信息保存失败: {order_id}")

                    except Exception as db_e:
                        logger.error(f"【{self.cookie_id}】保存订单信息到数据库失败: {self._safe_str(db_e)}")

                    return result
                else:
                    logger.warning(f"【{self.cookie_id}】订单详情获取失败: {order_id}")
                    return None

            except Exception as e:
                logger.error(f"【{self.cookie_id}】获取订单详情异常: {self._safe_str(e)}")
                return None

    async def _auto_delivery(self, item_id: str, item_title: str = None, order_id: str = None, send_user_id: str = None):
        """自动发货功能 - 获取卡券规则，执行延时，确认发货，发送内容"""
        try:
            from db_manager import db_manager

            logger.info(f"开始自动发货检查: 商品ID={item_id}")

            # 获取商品详细信息
            item_info = None
            search_text = item_title  # 默认使用传入的标题

            if item_id and item_id != "未知商品":
                # 直接从数据库获取商品信息（发货时不再调用API）
                try:
                    logger.info(f"从数据库获取商品信息: {item_id}")
                    db_item_info = db_manager.get_item_info(self.cookie_id, item_id)
                    if db_item_info:
                        # 拼接商品标题和详情作为搜索文本
                        item_title_db = db_item_info.get('item_title', '') or ''
                        item_detail_db = db_item_info.get('item_detail', '') or ''

                        # 如果数据库中没有详情，尝试自动获取
                        if not item_detail_db.strip():
                            from config import config
                            auto_fetch_config = config.get('ITEM_DETAIL', {}).get('auto_fetch', {})

                            if auto_fetch_config.get('enabled', True):
                                logger.info(f"数据库中商品详情为空，尝试自动获取: {item_id}")
                                try:
                                    fetched_detail = await self.fetch_item_detail_from_api(item_id)
                                    if fetched_detail:
                                        # 保存获取到的详情
                                        await self.save_item_detail_only(item_id, fetched_detail)
                                        item_detail_db = fetched_detail
                                        logger.info(f"成功获取并保存商品详情: {item_id}")
                                    else:
                                        logger.warning(f"未能获取到商品详情: {item_id}")
                                except Exception as api_e:
                                    logger.warning(f"获取商品详情失败: {item_id}, 错误: {self._safe_str(api_e)}")
                            else:
                                logger.warning(f"自动获取商品详情功能已禁用，跳过: {item_id}")

                        # 组合搜索文本：商品标题 + 商品详情
                        search_parts = []
                        if item_title_db.strip():
                            search_parts.append(item_title_db.strip())
                        if item_detail_db.strip():
                            search_parts.append(item_detail_db.strip())

                        if search_parts:
                            search_text = ' '.join(search_parts)
                            logger.info(f"使用数据库商品标题+详情作为搜索文本: 标题='{item_title_db}', 详情长度={len(item_detail_db)}")
                            logger.warning(f"完整搜索文本: {search_text[:200]}...")
                        else:
                            logger.warning(f"数据库中商品标题和详情都为空: {item_id}")
                            search_text = item_title or item_id
                    else:
                        logger.warning(f"数据库中未找到商品信息: {item_id}")
                        search_text = item_title or item_id

                except Exception as db_e:
                    logger.warning(f"从数据库获取商品信息失败: {self._safe_str(db_e)}")
                    search_text = item_title or item_id

            if not search_text:
                search_text = item_id or "未知商品"

            logger.info(f"使用搜索文本匹配发货规则: {search_text[:100]}...")

            # 检查商品是否为多规格商品
            is_multi_spec = db_manager.get_item_multi_spec_status(self.cookie_id, item_id)
            spec_name = None
            spec_value = None

            # 如果是多规格商品且有订单ID，获取规格信息
            if is_multi_spec and order_id:
                logger.info(f"检测到多规格商品，获取订单规格信息: {order_id}")
                try:
                    order_detail = await self.fetch_order_detail_info(order_id, item_id, send_user_id)
                    # 确保order_detail是字典类型
                    if order_detail and isinstance(order_detail, dict):
                        spec_name = order_detail.get('spec_name', '')
                        spec_value = order_detail.get('spec_value', '')
                        if spec_name and spec_value:
                            logger.info(f"获取到规格信息: {spec_name} = {spec_value}")
                        else:
                            logger.warning(f"未能获取到规格信息，将跳过自动发货")
                            return None
                    else:
                        logger.warning(f"获取订单详情失败（返回类型: {type(order_detail).__name__}），将跳过自动发货")
                        return None
                except Exception as e:
                    logger.error(f"获取订单规格信息失败: {self._safe_str(e)}，将跳过自动发货")
                    return None

            # 智能匹配发货规则：多规格商品只匹配多规格卡券，非多规格商品只匹配非多规格卡券
            delivery_rules = []

            if is_multi_spec:
                # 多规格商品：只匹配多规格发货规则
                if spec_name and spec_value:
                    logger.info(f"多规格商品，尝试匹配多规格发货规则: {search_text[:50]}... [{spec_name}:{spec_value}]")
                    delivery_rules = db_manager.get_delivery_rules_by_keyword_and_spec(search_text, spec_name, spec_value)
                    # 过滤只保留多规格卡券
                    delivery_rules = [r for r in delivery_rules if r.get('is_multi_spec')]
                    
                    if delivery_rules:
                        logger.info(f"✅ 找到匹配的多规格发货规则: {len(delivery_rules)}个")
                    else:
                        logger.warning(f"❌ 多规格商品未找到匹配的多规格发货规则，跳过自动发货")
                        return None
                else:
                    logger.warning(f"❌ 多规格商品但无规格信息，跳过自动发货")
                    return None
            else:
                # 非多规格商品：只匹配非多规格发货规则
                logger.info(f"非多规格商品，尝试匹配普通发货规则: {search_text[:50]}...")
                delivery_rules = db_manager.get_delivery_rules_by_keyword(search_text)
                # 过滤只保留非多规格卡券
                delivery_rules = [r for r in delivery_rules if not r.get('is_multi_spec')]
                
                if delivery_rules:
                    logger.info(f"✅ 找到匹配的普通发货规则: {len(delivery_rules)}个")
                else:
                    logger.warning(f"❌ 非多规格商品未找到匹配的普通发货规则，跳过自动发货")
                    return None

            # 检查匹配到的卡券数量，只有唯一匹配时才自动发货
            if len(delivery_rules) > 1:
                rule_names = [f"{r['card_name']}({r.get('spec_name', '')}:{r.get('spec_value', '')})" if r.get('is_multi_spec') else r['card_name'] for r in delivery_rules]
                logger.warning(f"❌ 匹配到多个发货规则({len(delivery_rules)}个)，无法确定使用哪个，跳过自动发货: {', '.join(rule_names)}")
                return None

            if not delivery_rules:
                logger.warning(f"未找到匹配的发货规则: {search_text[:50]}...")
                return None

            # 使用唯一匹配的规则
            rule = delivery_rules[0]
            logger.info(f"✅ 唯一匹配发货规则: {rule['keyword']} -> {rule['card_name']} ({rule['card_type']})")

            # 保存商品信息到数据库（需要有商品标题才保存）
            # 尝试获取商品标题
            item_title_for_save = None
            try:
                from db_manager import db_manager
                db_item_info = db_manager.get_item_info(self.cookie_id, item_id)
                if db_item_info:
                    item_title_for_save = db_item_info.get('item_title', '').strip()
            except:
                pass

            # 如果有商品标题，则保存商品信息
            if item_title_for_save:
                await self.save_item_info_to_db(item_id, search_text, item_title_for_save)
            else:
                logger.warning(f"跳过保存商品信息：缺少商品标题 - {item_id}")

            # 详细的匹配结果日志
            if rule.get('is_multi_spec'):
                if spec_name and spec_value:
                    logger.info(f"🎯 精确匹配多规格发货规则: {rule['keyword']} -> {rule['card_name']} [{rule['spec_name']}:{rule['spec_value']}]")
                    logger.info(f"📋 订单规格: {spec_name}:{spec_value} ✅ 匹配卡券规格: {rule['spec_name']}:{rule['spec_value']}")
                else:
                    logger.info(f"⚠️ 使用多规格发货规则但无订单规格信息: {rule['keyword']} -> {rule['card_name']} [{rule['spec_name']}:{rule['spec_value']}]")
            else:
                if spec_name and spec_value:
                    logger.info(f"🔄 兜底匹配普通发货规则: {rule['keyword']} -> {rule['card_name']} ({rule['card_type']})")
                    logger.info(f"📋 订单规格: {spec_name}:{spec_value} ➡️ 使用普通卡券兜底")
                else:
                    logger.info(f"✅ 匹配普通发货规则: {rule['keyword']} -> {rule['card_name']} ({rule['card_type']})")

            # 获取延时设置
            delay_seconds = rule.get('card_delay_seconds', 0)

            # 执行延时（不管是否确认发货，只要有延时设置就执行）
            if delay_seconds and delay_seconds > 0:
                logger.info(f"检测到发货延时设置: {delay_seconds}秒，开始延时...")
                await asyncio.sleep(delay_seconds)
                logger.info(f"延时完成")

            # 如果有订单ID，执行确认发货
            if order_id:
                # 检查是否启用自动确认发货
                if not self.is_auto_confirm_enabled():
                    logger.info(f"自动确认发货已关闭，跳过订单 {order_id}")
                else:
                    # 检查确认发货冷却时间
                    current_time = time.time()
                    should_confirm = True

                    if order_id in self.confirmed_orders:
                        last_confirm_time = self.confirmed_orders[order_id]
                        if current_time - last_confirm_time < self.order_confirm_cooldown:
                            logger.info(f"订单 {order_id} 已在 {self.order_confirm_cooldown} 秒内确认过，跳过重复确认")
                            should_confirm = False

                    if should_confirm:
                        logger.info(f"开始自动确认发货: 订单ID={order_id}, 商品ID={item_id}")
                        confirm_result = await self.auto_confirm(order_id, item_id)
                        if confirm_result.get('success'):
                            self.confirmed_orders[order_id] = current_time
                            logger.info(f"🎉 自动确认发货成功！订单ID: {order_id}")
                        else:
                            logger.warning(f"⚠️ 自动确认发货失败: {confirm_result.get('error', '未知错误')}")
                            # 即使确认发货失败，也继续发送发货内容

            # 检查是否存在订单ID，只有存在订单ID才处理发货内容
            if order_id:
                # 保存订单基本信息到数据库（如果还没有详细信息）
                try:
                    from db_manager import db_manager

                    # 检查cookie_id是否在cookies表中存在
                    cookie_info = db_manager.get_cookie_by_id(self.cookie_id)
                    if not cookie_info:
                        logger.warning(f"Cookie ID {self.cookie_id} 不存在于cookies表中，丢弃订单 {order_id}")
                    else:
                        existing_order = db_manager.get_order_by_id(order_id)
                        if not existing_order:
                            # 插入基本订单信息
                            success = db_manager.insert_or_update_order(
                                order_id=order_id,
                                item_id=item_id,
                                buyer_id=send_user_id,
                                cookie_id=self.cookie_id
                            )
                            
                            # 使用订单状态处理器设置状态
                            if success and self.order_status_handler:
                                try:
                                    self.order_status_handler.handle_order_basic_info_status(
                                        order_id=order_id,
                                        cookie_id=self.cookie_id,
                                        context="自动发货-基本信息"
                                    )
                                except Exception as e:
                                    logger.error(f"【{self.cookie_id}】订单状态处理器调用失败: {self._safe_str(e)}")
                            
                            if success:
                                logger.info(f"保存基本订单信息到数据库: {order_id}")
                except Exception as db_e:
                    logger.error(f"保存基本订单信息失败: {self._safe_str(db_e)}")

                # 开始处理发货内容
                logger.info(f"开始处理发货内容，规则: {rule['keyword']} -> {rule['card_name']} ({rule['card_type']})")

                delivery_content = None

                # 根据卡券类型处理发货内容
                if rule['card_type'] == 'api':
                    # API类型：调用API获取内容，传入订单和商品信息用于动态参数替换
                    delivery_content = await self._get_api_card_content(rule, order_id, item_id, send_user_id, spec_name, spec_value)

                elif rule['card_type'] == 'text':
                    # 固定文字类型：直接使用文字内容
                    delivery_content = rule['text_content']

                elif rule['card_type'] == 'data':
                    # 批量数据类型：获取并消费第一条数据
                    delivery_content = db_manager.consume_batch_data(rule['card_id'])

                elif rule['card_type'] == 'image':
                    # 图片类型：返回图片发送标记，包含卡券ID
                    image_url = rule.get('image_url')
                    if image_url:
                        delivery_content = f"__IMAGE_SEND__{rule['card_id']}|{image_url}"
                        logger.info(f"准备发送图片: {image_url} (卡券ID: {rule['card_id']})")
                    else:
                        logger.error(f"图片卡券缺少图片URL: 卡券ID={rule['card_id']}")
                        delivery_content = None

                if delivery_content:
                    # 处理备注信息和变量替换
                    final_content = self._process_delivery_content_with_description(delivery_content, rule.get('card_description', ''))

                    # 增加发货次数统计
                    db_manager.increment_delivery_times(rule['id'])
                    logger.info(f"自动发货成功: 规则ID={rule['id']}, 内容长度={len(final_content)}")
                    return final_content
                else:
                    logger.warning(f"获取发货内容失败: 规则ID={rule['id']}")
                    return None
            else:
                # 没有订单ID，记录日志但不处理发货内容
                logger.info(f"⚠️ 未检测到订单ID，跳过发货内容处理。规则: {rule['keyword']} -> {rule['card_name']} ({rule['card_type']})")
                return None

        except Exception as e:
            logger.error(f"自动发货失败: {self._safe_str(e)}")
            return None



    def _process_delivery_content_with_description(self, delivery_content: str, card_description: str) -> str:
        """处理发货内容和备注信息，实现变量替换"""
        try:
            # 如果是图片发送标记，不进行备注处理，直接返回
            if delivery_content.startswith("__IMAGE_SEND__"):
                return delivery_content
            
            # 如果没有备注信息，直接返回发货内容
            if not card_description or not card_description.strip():
                return delivery_content

            # 替换备注中的变量
            processed_description = card_description.replace('{DELIVERY_CONTENT}', delivery_content)

            # 如果备注中包含变量替换，返回处理后的备注
            if '{DELIVERY_CONTENT}' in card_description:
                return processed_description
            else:
                # 如果备注中没有变量，将备注和发货内容组合
                return f"{processed_description}\n\n{delivery_content}"

        except Exception as e:
            logger.error(f"处理备注信息失败: {e}")
            # 出错时返回原始发货内容
            return delivery_content

    async def _get_api_card_content(self, rule, order_id=None, item_id=None, buyer_id=None, spec_name=None, spec_value=None, retry_count=0):
        """调用API获取卡券内容，支持动态参数替换和重试机制"""
        max_retries = 4

        if retry_count >= max_retries:
            logger.error(f"API调用失败，已达到最大重试次数({max_retries})")
            return None

        try:
            import aiohttp
            import json

            api_config = rule.get('api_config')
            if not api_config:
                logger.error(f"API配置为空，规则ID: {rule.get('id')}, 卡券名称: {rule.get('card_name')}")
                logger.warning(f"规则详情: {rule}")
                return None

            # 解析API配置
            if isinstance(api_config, str):
                api_config = json.loads(api_config)

            url = api_config.get('url')
            method = api_config.get('method', 'GET').upper()
            timeout = api_config.get('timeout', 10)
            headers = api_config.get('headers', '{}')
            params = api_config.get('params', '{}')

            # 解析headers和params
            if isinstance(headers, str):
                headers = json.loads(headers)
            if isinstance(params, str):
                params = json.loads(params)

            # 如果是POST请求且有动态参数，进行参数替换
            if method == 'POST' and params:
                params = await self._replace_api_dynamic_params(params, order_id, item_id, buyer_id, spec_name, spec_value)

            retry_info = f" (重试 {retry_count + 1}/{max_retries})" if retry_count > 0 else ""
            logger.info(f"调用API获取卡券: {method} {url}{retry_info}")
            if method == 'POST' and params:
                logger.warning(f"POST请求参数: {json.dumps(params, ensure_ascii=False)}")

            # 确保session存在
            if not self.session:
                await self.create_session()

            # 发起HTTP请求
            timeout_obj = aiohttp.ClientTimeout(total=timeout)

            if method == 'GET':
                async with self.session.get(url, headers=headers, params=params, timeout=timeout_obj) as response:
                    status_code = response.status
                    response_text = await response.text()
            elif method == 'POST':
                async with self.session.post(url, headers=headers, json=params, timeout=timeout_obj) as response:
                    status_code = response.status
                    response_text = await response.text()
            else:
                logger.error(f"不支持的HTTP方法: {method}")
                return None

            if status_code == 200:
                # 尝试解析JSON响应，如果失败则使用原始文本
                try:
                    result = json.loads(response_text)
                    # 如果返回的是对象，尝试提取常见的内容字段
                    if isinstance(result, dict):
                        content = result.get('data') or result.get('content') or result.get('card') or str(result)
                    else:
                        content = str(result)
                except:
                    content = response_text

                logger.info(f"API调用成功，返回内容长度: {len(content)}")
                return content
            else:
                logger.warning(f"API调用失败: {status_code} - {response_text[:200]}...")

                # 如果是服务器错误(5xx)或请求超时，进行重试
                if status_code >= 500 or status_code == 408:
                    if retry_count < max_retries - 1:
                        wait_time = (retry_count + 1) * 2  # 递增等待时间: 2s, 4s, 6s
                        logger.info(f"等待 {wait_time} 秒后重试...")
                        await asyncio.sleep(wait_time)
                        return await self._get_api_card_content(rule, order_id, item_id, buyer_id, spec_name, spec_value, retry_count + 1)

                return None

        except (aiohttp.ClientTimeout, aiohttp.ClientError) as e:
            logger.warning(f"API调用网络异常: {self._safe_str(e)}")

            # 网络异常也进行重试
            if retry_count < max_retries - 1:
                wait_time = (retry_count + 1) * 2  # 递增等待时间
                logger.info(f"等待 {wait_time} 秒后重试...")
                await asyncio.sleep(wait_time)
                return await self._get_api_card_content(rule, order_id, item_id, buyer_id, spec_name, spec_value, retry_count + 1)
            else:
                logger.error(f"API调用网络异常，已达到最大重试次数: {self._safe_str(e)}")
                return None

        except Exception as e:
            logger.error(f"API调用异常: {self._safe_str(e)}")
            return None

    async def _replace_api_dynamic_params(self, params, order_id=None, item_id=None, buyer_id=None, spec_name=None, spec_value=None):
        """替换API请求参数中的动态参数"""
        try:
            if not params or not isinstance(params, dict):
                return params

            # 获取订单和商品信息
            order_info = None
            item_info = None

            # 如果有订单ID，获取订单信息
            if order_id:
                try:
                    from db_manager import db_manager
                    # 尝试从数据库获取订单信息
                    order_info = db_manager.get_order_by_id(order_id)
                    if not order_info:
                        # 如果数据库中没有，尝试通过API获取
                        order_detail = await self.fetch_order_detail_info(order_id, item_id, buyer_id)
                        if order_detail:
                            order_info = order_detail
                            logger.warning(f"通过API获取到订单信息: {order_id}")
                        else:
                            logger.warning(f"无法获取订单信息: {order_id}")
                    else:
                        logger.warning(f"从数据库获取到订单信息: {order_id}")
                except Exception as e:
                    logger.warning(f"获取订单信息失败: {self._safe_str(e)}")

            # 如果有商品ID，获取商品信息
            if item_id:
                try:
                    from db_manager import db_manager
                    item_info = db_manager.get_item_info(self.cookie_id, item_id)
                    if item_info:
                        logger.warning(f"从数据库获取到商品信息: {item_id}")
                    else:
                        logger.warning(f"无法获取商品信息: {item_id}")
                except Exception as e:
                    logger.warning(f"获取商品信息失败: {self._safe_str(e)}")

            # 构建参数映射
            param_mapping = {
                'order_id': order_id or '',
                'item_id': item_id or '',
                'buyer_id': buyer_id or '',
                'cookie_id': self.cookie_id or '',
                'spec_name': spec_name or '',
                'spec_value': spec_value or '',
            }

            # 从订单信息中提取参数
            if order_info:
                param_mapping.update({
                    'order_amount': str(order_info.get('amount', '')),
                    'order_quantity': str(order_info.get('quantity', '')),
                })

            # 从商品信息中提取参数
            if item_info:
                # 处理商品详情，如果是JSON字符串则提取detail字段
                item_detail = item_info.get('item_detail', '')
                if item_detail:
                    try:
                        # 尝试解析JSON
                        import json
                        detail_data = json.loads(item_detail)
                        if isinstance(detail_data, dict) and 'detail' in detail_data:
                            item_detail = detail_data['detail']
                    except (json.JSONDecodeError, TypeError):
                        # 如果不是JSON或解析失败，使用原始字符串
                        pass

                param_mapping.update({
                    'item_detail': item_detail,
                })

            # 递归替换参数
            replaced_params = self._recursive_replace_params(params, param_mapping)

            # 记录替换的参数
            replaced_keys = []
            for key, value in replaced_params.items():
                if isinstance(value, str) and '{' in str(params.get(key, '')):
                    replaced_keys.append(key)

            if replaced_keys:
                logger.info(f"API动态参数替换完成，替换的参数: {replaced_keys}")
                logger.warning(f"参数映射: {param_mapping}")

            return replaced_params

        except Exception as e:
            logger.error(f"替换API动态参数失败: {self._safe_str(e)}")
            return params

    def _recursive_replace_params(self, obj, param_mapping):
        """递归替换参数中的占位符"""
        if isinstance(obj, dict):
            result = {}
            for key, value in obj.items():
                result[key] = self._recursive_replace_params(value, param_mapping)
            return result
        elif isinstance(obj, list):
            return [self._recursive_replace_params(item, param_mapping) for item in obj]
        elif isinstance(obj, str):
            # 替换字符串中的占位符
            result = obj
            for param_key, param_value in param_mapping.items():
                placeholder = f"{{{param_key}}}"
                if placeholder in result:
                    result = result.replace(placeholder, str(param_value))
            return result
        else:
            return obj

    async def token_refresh_loop(self):
        """Token刷新循环"""
        try:
            while True:
                try:
                    # 检查账号是否启用
                    from cookie_manager import manager as cookie_manager
                    if cookie_manager and not cookie_manager.get_cookie_status(self.cookie_id):
                        logger.info(f"【{self.cookie_id}】账号已禁用，停止Token刷新循环")
                        break

                    current_time = time.time()
                    if current_time - self.last_token_refresh_time >= self.token_refresh_interval:
                        logger.info("Token即将过期，准备刷新...")
                        new_token = await self.refresh_token()
                        if new_token:
                            logger.info(f"【{self.cookie_id}】Token刷新成功，将关闭WebSocket以使用新Token重连")
                            
                            # Token刷新成功后，需要关闭WebSocket连接，让它用新Token重新连接
                            # 原因：WebSocket连接建立时使用的是旧Token，新Token需要重新建立连接才能生效
                            # 注意：只关闭WebSocket，不重启整个实例（后台任务继续运行）
                            
                            # 关闭当前WebSocket连接
                            if self.ws and not self.ws.closed:
                                try:
                                    logger.info(f"【{self.cookie_id}】关闭当前WebSocket连接以使用新Token重连...")
                                    await self.ws.close()
                                    logger.info(f"【{self.cookie_id}】WebSocket连接已关闭，将自动重连")
                                except Exception as close_e:
                                    logger.warning(f"【{self.cookie_id}】关闭WebSocket时出错: {self._safe_str(close_e)}")
                            
                            # 退出Token刷新循环，让main循环重新建立连接
                            # 后台任务（心跳、清理等）继续运行
                            logger.info(f"【{self.cookie_id}】Token刷新完成，WebSocket将使用新Token重新连接")
                            break
                        else:
                            # 根据上一次刷新状态决定日志级别（冷却/已重启为正常情况）
                            if getattr(self, 'last_token_refresh_status', None) in ("skipped_cooldown", "restarted_after_cookie_refresh"):
                                logger.info(f"【{self.cookie_id}】Token刷新未执行或已重启（正常），将在{self.token_retry_interval // 60}分钟后重试")
                            else:
                                logger.error(f"【{self.cookie_id}】Token刷新失败，将在{self.token_retry_interval // 60}分钟后重试")

                            # 清空当前token，确保下次重试时重新获取
                            self.current_token = None

                            # 发送Token刷新失败通知
                            await self.send_token_refresh_notification("Token定时刷新失败，将自动重试", "token_scheduled_refresh_failed")
                            await self._interruptible_sleep(self.token_retry_interval)
                            continue
                    await self._interruptible_sleep(60)
                except asyncio.CancelledError:
                    # 收到取消信号，立即退出循环
                    logger.info(f"【{self.cookie_id}】Token刷新循环收到取消信号，准备退出")
                    raise
                except Exception as e:
                    logger.error(f"Token刷新循环出错: {self._safe_str(e)}")
                    # 出错后也等待1分钟再重试，使用可中断的sleep
                    try:
                        await self._interruptible_sleep(60)
                    except asyncio.CancelledError:
                        logger.info(f"【{self.cookie_id}】Token刷新循环在重试等待时收到取消信号，准备退出")
                        raise
        except asyncio.CancelledError:
            # 确保CancelledError被正确传播
            logger.info(f"【{self.cookie_id}】Token刷新循环已取消，正在退出...")
            raise
        finally:
            # 确保任务能正常结束
            logger.info(f"【{self.cookie_id}】Token刷新循环已退出")

    async def create_chat(self, ws, toid, item_id='891198795482'):
        msg = {
            "lwp": "/r/SingleChatConversation/create",
            "headers": {
                "mid": generate_mid()
            },
            "body": [
                {
                    "pairFirst": f"{toid}@goofish",
                    "pairSecond": f"{self.myid}@goofish",
                    "bizType": "1",
                    "extension": {
                        "itemId": item_id
                    },
                    "ctx": {
                        "appVersion": "1.0",
                        "platform": "web"
                    }
                }
            ]
        }
        await ws.send(json.dumps(msg))

    async def send_msg(self, ws, cid, toid, text):
        text = {
            "contentType": 1,
            "text": {
                "text": text
            }
        }
        text_base64 = str(base64.b64encode(json.dumps(text).encode('utf-8')), 'utf-8')
        msg = {
            "lwp": "/r/MessageSend/sendByReceiverScope",
            "headers": {
                "mid": generate_mid()
            },
            "body": [
                {
                    "uuid": generate_uuid(),
                    "cid": f"{cid}@goofish",
                    "conversationType": 1,
                    "content": {
                        "contentType": 101,
                        "custom": {
                            "type": 1,
                            "data": text_base64
                        }
                    },
                    "redPointPolicy": 0,
                    "extension": {
                        "extJson": "{}"
                    },
                    "ctx": {
                        "appVersion": "1.0",
                        "platform": "web"
                    },
                    "mtags": {},
                    "msgReadStatusSetting": 1
                },
                {
                    "actualReceivers": [
                        f"{toid}@goofish",
                        f"{self.myid}@goofish"
                    ]
                }
            ]
        }
        await ws.send(json.dumps(msg))

    async def init(self, ws):
        # 如果没有token或者token过期，获取新token
        token_refresh_attempted = False
        if not self.current_token or (time.time() - self.last_token_refresh_time) >= self.token_refresh_interval:
            logger.info(f"【{self.cookie_id}】获取初始token...")
            token_refresh_attempted = True

            await self.refresh_token()

        if not self.current_token:
            logger.error("无法获取有效token，初始化失败")
            # 只有在没有尝试刷新token的情况下才发送通知，避免与refresh_token中的通知重复
            if not token_refresh_attempted:
                await self.send_token_refresh_notification("初始化时无法获取有效Token", "token_init_failed")
            else:
                logger.info("由于刚刚尝试过token刷新，跳过重复的初始化失败通知")
            raise Exception("Token获取失败")

        msg = {
            "lwp": "/reg",
            "headers": {
                "cache-header": "app-key token ua wv",
                "app-key": APP_CONFIG.get('app_key'),
                "token": self.current_token,
                "ua": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36 DingTalk(2.1.5) OS(Windows/10) Browser(Chrome/133.0.0.0) DingWeb/2.1.5 IMPaaS DingWeb/2.1.5",
                "dt": "j",
                "wv": "im:3,au:3,sy:6",
                "sync": "0,0;0;0;",
                "did": self.device_id,
                "mid": generate_mid()
            }
        }
        await ws.send(json.dumps(msg))
        await asyncio.sleep(1)
        current_time = int(time.time() * 1000)
        msg = {
            "lwp": "/r/SyncStatus/ackDiff",
            "headers": {"mid": generate_mid()},
            "body": [
                {
                    "pipeline": "sync",
                    "tooLong2Tag": "PNM,1",
                    "channel": "sync",
                    "topic": "sync",
                    "highPts": 0,
                    "pts": current_time * 1000,
                    "seq": 0,
                    "timestamp": current_time
                }
            ]
        }
        await ws.send(json.dumps(msg))
        logger.info(f'【{self.cookie_id}】连接注册完成')

    async def send_heartbeat(self, ws):
        """发送心跳包"""
        # 检查WebSocket连接状态，如果已关闭则不发送
        if ws.closed:
            raise ConnectionError("WebSocket连接已关闭，无法发送心跳")
        
        msg = {
            "lwp": "/!",
            "headers": {
                "mid": generate_mid()
            }
        }
        # 添加超时保护，避免在WebSocket关闭时阻塞
        try:
            await asyncio.wait_for(ws.send(json.dumps(msg)), timeout=2.0)
            self.last_heartbeat_time = time.time()
            logger.warning(f"【{self.cookie_id}】心跳包已发送")
        except asyncio.TimeoutError:
            raise ConnectionError("心跳发送超时，WebSocket可能已断开")
        except asyncio.CancelledError:
            # 如果被取消，立即重新抛出，不执行后续操作
            raise

    async def heartbeat_loop(self, ws):
        """心跳循环"""
        consecutive_failures = 0
        max_failures = 3  # 连续失败3次后停止心跳

        try:
            while True:
                try:
                    # 检查账号是否启用
                    from cookie_manager import manager as cookie_manager
                    if cookie_manager and not cookie_manager.get_cookie_status(self.cookie_id):
                        logger.info(f"【{self.cookie_id}】账号已禁用，停止心跳循环")
                        break

                    # 检查WebSocket连接状态
                    if ws.closed:
                        logger.warning(f"【{self.cookie_id}】WebSocket连接已关闭，停止心跳循环")
                        break

                    await self.send_heartbeat(ws)
                    consecutive_failures = 0  # 重置失败计数

                    await self._interruptible_sleep(self.heartbeat_interval)

                except asyncio.CancelledError:
                    # 收到取消信号，立即退出循环
                    logger.info(f"【{self.cookie_id}】心跳循环收到取消信号，准备退出")
                    raise  # 重新抛出，让任务正常结束
                except Exception as e:
                    consecutive_failures += 1
                    logger.error(f"心跳发送失败 ({consecutive_failures}/{max_failures}): {self._safe_str(e)}")

                    if consecutive_failures >= max_failures:
                        logger.error(f"【{self.cookie_id}】心跳连续失败{max_failures}次，停止心跳循环")
                        break

                    # 失败后短暂等待再重试，使用可中断的sleep
                    try:
                        await self._interruptible_sleep(5)
                    except asyncio.CancelledError:
                        # 在等待重试时收到取消信号，立即退出
                        logger.info(f"【{self.cookie_id}】心跳循环在重试等待时收到取消信号，准备退出")
                        raise
        except asyncio.CancelledError:
            # 确保CancelledError被正确传播
            logger.info(f"【{self.cookie_id}】心跳循环已取消，正在退出...")
            raise
        finally:
            # 确保任务能正常结束
            logger.info(f"【{self.cookie_id}】心跳循环已退出")

    async def handle_heartbeat_response(self, message_data):
        """处理心跳响应"""
        try:
            if message_data.get("code") == 200:
                self.last_heartbeat_response = time.time()
                logger.warning("心跳响应正常")
                return True
        except Exception as e:
            logger.error(f"处理心跳响应出错: {self._safe_str(e)}")
        return False

    async def pause_cleanup_loop(self):
        """定期清理过期的暂停记录、锁和缓存"""
        try:
            while True:
                try:
                    # 检查账号是否启用
                    from cookie_manager import manager as cookie_manager
                    if cookie_manager and not cookie_manager.get_cookie_status(self.cookie_id):
                        logger.info(f"【{self.cookie_id}】账号已禁用，停止清理循环")
                        break

                    # 清理过期的暂停记录
                    pause_manager.cleanup_expired_pauses()
                    await asyncio.sleep(0)  # 让出控制权，允许检查取消信号

                    # 清理过期的锁（每5分钟清理一次，保留24小时内的锁）
                    self.cleanup_expired_locks(max_age_hours=24)
                    await asyncio.sleep(0)  # 让出控制权，允许检查取消信号

                    # 清理过期的商品详情缓存
                    try:
                        cleaned_count = await self._cleanup_item_cache()
                        if cleaned_count > 0:
                            logger.info(f"【{self.cookie_id}】清理了 {cleaned_count} 个过期的商品详情缓存")
                    except asyncio.CancelledError:
                        raise
                    except Exception as cache_clean_e:
                        logger.warning(f"【{self.cookie_id}】清理商品详情缓存时出错: {cache_clean_e}")

                    # 清理过期的通知、发货和订单确认记录（防止内存泄漏）
                    self._cleanup_instance_caches()
                    await asyncio.sleep(0)  # 让出控制权，允许检查取消信号

                    # 清理QR登录过期会话（每5分钟检查一次）
                    try:
                        from utils.qr_login import qr_login_manager
                        qr_login_manager.cleanup_expired_sessions()
                        await asyncio.sleep(0)  # 让出控制权，允许检查取消信号
                    except asyncio.CancelledError:
                        raise
                    except Exception as qr_clean_e:
                        logger.warning(f"【{self.cookie_id}】清理QR登录会话时出错: {qr_clean_e}")
                    
                    # 清理Playwright浏览器临时文件和缓存（每5分钟检查一次）
                    try:
                        await self._cleanup_playwright_cache()
                    except asyncio.CancelledError:
                        raise
                    except Exception as pw_clean_e:
                        logger.warning(f"【{self.cookie_id}】清理Playwright缓存时出错: {pw_clean_e}")
                    
                    # 清理过期的日志文件（每5分钟检查一次，保留7天）
                    try:
                        cleaned_logs = await self._cleanup_old_logs(retention_days=7)
                        await asyncio.sleep(0)  # 让出控制权，允许检查取消信号
                    except asyncio.CancelledError:
                        raise
                    except Exception as log_clean_e:
                        logger.warning(f"【{self.cookie_id}】清理日志文件时出错: {log_clean_e}")
                    
                    # 清理数据库历史数据（每天一次，保留90天数据）
                    # 为避免所有实例同时执行，只让第一个实例执行
                    try:
                        if hasattr(self.__class__, '_last_db_cleanup_time'):
                            last_cleanup = self.__class__._last_db_cleanup_time
                        else:
                            self.__class__._last_db_cleanup_time = 0
                            last_cleanup = 0
                        
                        current_time = time.time()
                        # 每24小时清理一次
                        if current_time - last_cleanup > 86400:
                            logger.info(f"【{self.cookie_id}】开始执行数据库历史数据清理...")
                            # 数据库清理可能很耗时，使用线程池执行，避免阻塞事件循环
                            # 这样即使清理操作很慢，也能响应取消信号
                            try:
                                stats = await asyncio.to_thread(db_manager.cleanup_old_data, days=90)
                                if 'error' not in stats:
                                    logger.info(f"【{self.cookie_id}】数据库清理完成: {stats}")
                                    self.__class__._last_db_cleanup_time = current_time
                                else:
                                    logger.error(f"【{self.cookie_id}】数据库清理失败: {stats['error']}")
                            except asyncio.CancelledError:
                                logger.warning(f"【{self.cookie_id}】数据库清理被取消")
                                raise
                    except asyncio.CancelledError:
                        raise  # 重新抛出取消信号
                    except Exception as db_clean_e:
                        logger.error(f"【{self.cookie_id}】清理数据库历史数据时出错: {db_clean_e}")

                    # 每5分钟清理一次
                    await self._interruptible_sleep(300)
                except asyncio.CancelledError:
                    # 收到取消信号，立即退出循环
                    logger.info(f"【{self.cookie_id}】清理循环收到取消信号，准备退出")
                    raise
                except Exception as e:
                    logger.error(f"【{self.cookie_id}】清理任务失败: {self._safe_str(e)}")
                    # 出错后也等待5分钟再重试，使用可中断的sleep
                    try:
                        await self._interruptible_sleep(300)
                    except asyncio.CancelledError:
                        logger.info(f"【{self.cookie_id}】清理循环在重试等待时收到取消信号，准备退出")
                        raise
        except asyncio.CancelledError:
            # 确保CancelledError被正确传播
            logger.info(f"【{self.cookie_id}】清理循环已取消，正在退出...")
            raise
        finally:
            # 确保任务能正常结束
            logger.info(f"【{self.cookie_id}】清理循环已退出")


    async def cookie_refresh_loop(self):
        """Cookie刷新定时任务 - 每小时执行一次"""
        try:
            while True:
                try:
                    # 检查账号是否启用
                    from cookie_manager import manager as cookie_manager
                    if cookie_manager and not cookie_manager.get_cookie_status(self.cookie_id):
                        logger.info(f"【{self.cookie_id}】账号已禁用，停止Cookie刷新循环")
                        break

                    # 检查Cookie刷新功能是否启用
                    if not self.cookie_refresh_enabled:
                        logger.warning(f"【{self.cookie_id}】Cookie刷新功能已禁用，跳过执行")
                        await self._interruptible_sleep(300)  # 5分钟后再检查
                        continue

                    current_time = time.time()
                    if current_time - self.last_cookie_refresh_time >= self.cookie_refresh_interval:
                        # 检查是否在消息接收后的冷却时间内
                        time_since_last_message = current_time - self.last_message_received_time
                        if time_since_last_message < self.message_cookie_refresh_cooldown:
                            remaining_time = self.message_cookie_refresh_cooldown - time_since_last_message
                            remaining_minutes = int(remaining_time // 60)
                            remaining_seconds = int(remaining_time % 60)
                            logger.warning(f"【{self.cookie_id}】收到消息后冷却中，还需等待 {remaining_minutes}分{remaining_seconds}秒 才能执行Cookie刷新")
                        # 检查是否已有Cookie刷新任务在执行
                        elif self.cookie_refresh_lock.locked():
                            logger.warning(f"【{self.cookie_id}】Cookie刷新任务已在执行中，跳过本次触发")
                        else:
                            logger.info(f"【{self.cookie_id}】开始执行Cookie刷新任务...")
                            # 在独立的任务中执行Cookie刷新，避免阻塞主循环
                            asyncio.create_task(self._execute_cookie_refresh(current_time))

                    # 每分钟检查一次是否需要执行
                    await self._interruptible_sleep(60)
                except asyncio.CancelledError:
                    # 收到取消信号，立即退出循环
                    logger.info(f"【{self.cookie_id}】Cookie刷新循环收到取消信号，准备退出")
                    raise
                except Exception as e:
                    logger.error(f"【{self.cookie_id}】Cookie刷新循环失败: {self._safe_str(e)}")
                    # 出错后也等待1分钟再重试，使用可中断的sleep
                    try:
                        await self._interruptible_sleep(60)
                    except asyncio.CancelledError:
                        logger.info(f"【{self.cookie_id}】Cookie刷新循环在重试等待时收到取消信号，准备退出")
                        raise
        except asyncio.CancelledError:
            # 确保CancelledError被正确传播
            logger.info(f"【{self.cookie_id}】Cookie刷新循环已取消，正在退出...")
            raise
        finally:
            # 确保任务能正常结束
            logger.info(f"【{self.cookie_id}】Cookie刷新循环已退出")

    async def _execute_cookie_refresh(self, current_time):
        """独立执行Cookie刷新任务，避免阻塞主循环"""

        # 使用Lock确保原子性，防止重复执行
        async with self.cookie_refresh_lock:
            try:
                logger.info(f"【{self.cookie_id}】开始Cookie刷新任务，暂时暂停心跳以避免连接冲突...")

                # 暂时暂停心跳任务，避免与浏览器操作冲突
                heartbeat_was_running = False
                if self.heartbeat_task and not self.heartbeat_task.done():
                    heartbeat_was_running = True
                    self.heartbeat_task.cancel()
                    logger.warning(f"【{self.cookie_id}】已暂停心跳任务")

                # 为整个Cookie刷新任务添加超时保护（3分钟，缩短时间减少影响）
                success = await asyncio.wait_for(
                    self._refresh_cookies_via_browser(),
                    timeout=180.0  # 3分钟超时，减少对WebSocket的影响
                )

                # 重新启动心跳任务
                if heartbeat_was_running and self.ws and not self.ws.closed:
                    logger.warning(f"【{self.cookie_id}】重新启动心跳任务")
                    self.heartbeat_task = asyncio.create_task(self.heartbeat_loop(self.ws))

                if success:
                    self.last_cookie_refresh_time = current_time
                    logger.info(f"【{self.cookie_id}】Cookie刷新任务完成，心跳已恢复")
                    
                    # 刷新成功后，验证Cookie有效性
                    logger.info(f"【{self.cookie_id}】开始验证刷新后的Cookie有效性...")
                    try:
                        validation_result = await self._verify_cookie_validity()
                        
                        if not validation_result['valid']:
                            logger.warning(f"【{self.cookie_id}】❌ Cookie验证失败: {validation_result['details']}")
                            logger.warning(f"【{self.cookie_id}】检测到Cookie可能无法用于关键API，尝试通过密码登录重新获取...")
                            
                            # 触发密码登录刷新
                            password_refresh_success = await self._try_password_login_refresh("Cookie验证失败(关键API不可用)")
                            
                            if password_refresh_success:
                                logger.info(f"【{self.cookie_id}】✅ 密码登录刷新成功，Cookie已更新")
                            else:
                                logger.warning(f"【{self.cookie_id}】⚠️ 密码登录刷新失败，Cookie可能仍然无效")
                                # 发送通知
                                await self.send_token_refresh_notification(
                                    f"Cookie验证失败且密码登录刷新也失败\n验证详情: {validation_result['details']}",
                                    "cookie_validation_failed"
                                )
                        else:
                            logger.info(f"【{self.cookie_id}】✅ Cookie验证通过: {validation_result['details']}")
                            
                    except Exception as verify_e:
                        logger.error(f"【{self.cookie_id}】Cookie验证过程异常: {self._safe_str(verify_e)}")
                        import traceback
                        logger.error(f"【{self.cookie_id}】详细堆栈:\n{traceback.format_exc()}")
                else:
                    logger.warning(f"【{self.cookie_id}】Cookie刷新任务失败")
                    # 即使失败也要更新时间，避免频繁重试
                    self.last_cookie_refresh_time = current_time

            except asyncio.TimeoutError:
                # 超时也要更新时间，避免频繁重试
                self.last_cookie_refresh_time = current_time
            except Exception as e:
                logger.error(f"【{self.cookie_id}】执行Cookie刷新任务异常: {self._safe_str(e)}")
                # 异常也要更新时间，避免频繁重试
                self.last_cookie_refresh_time = current_time
            finally:
                # 确保心跳任务恢复（如果WebSocket仍然连接）
                if (self.ws and not self.ws.closed and
                    (not self.heartbeat_task or self.heartbeat_task.done())):
                    logger.info(f"【{self.cookie_id}】Cookie刷新完成，心跳任务正常运行")
                    self.heartbeat_task = asyncio.create_task(self.heartbeat_loop(self.ws))

                # 清空消息接收标志，允许下次正常执行Cookie刷新
                self.last_message_received_time = 0
                logger.warning(f"【{self.cookie_id}】Cookie刷新完成，已清空消息接收标志")



    def enable_cookie_refresh(self, enabled: bool = True):
        """启用或禁用Cookie刷新功能"""
        self.cookie_refresh_enabled = enabled
        status = "启用" if enabled else "禁用"
        logger.info(f"【{self.cookie_id}】Cookie刷新功能已{status}")


    async def refresh_cookies_from_qr_login(self, qr_cookies_str: str, cookie_id: str = None, user_id: int = None):
        """使用扫码登录获取的cookie访问指定界面获取真实cookie并存入数据库

        Args:
            qr_cookies_str: 扫码登录获取的cookie字符串
            cookie_id: 可选的cookie ID，如果不提供则使用当前实例的cookie_id
            user_id: 可选的用户ID，如果不提供则使用当前实例的user_id

        Returns:
            bool: 成功返回True，失败返回False
        """
        playwright = None
        browser = None
        target_cookie_id = cookie_id or self.cookie_id
        target_user_id = user_id or self.user_id

        try:
            import asyncio
            from playwright.async_api import async_playwright
            from utils.xianyu_utils import trans_cookies

            logger.info(f"【{target_cookie_id}】开始使用扫码登录cookie获取真实cookie...")
            logger.info(f"【{target_cookie_id}】扫码cookie长度: {len(qr_cookies_str)}")

            # 解析扫码登录的cookie
            qr_cookies_dict = trans_cookies(qr_cookies_str)
            logger.info(f"【{target_cookie_id}】扫码cookie字段数: {len(qr_cookies_dict)}")

            # Docker环境下修复asyncio子进程问题
            is_docker = os.getenv('DOCKER_ENV') or os.path.exists('/.dockerenv')

            if is_docker:
                logger.warning(f"【{target_cookie_id}】检测到Docker环境，应用asyncio修复")

                # 创建一个完整的虚拟子进程监视器
                class DummyChildWatcher:
                    def __enter__(self):
                        return self
                    def __exit__(self, *args):
                        pass
                    def is_active(self):
                        return True
                    def add_child_handler(self, *args, **kwargs):
                        pass
                    def remove_child_handler(self, *args, **kwargs):
                        pass
                    def attach_loop(self, *args, **kwargs):
                        pass
                    def close(self):
                        pass
                    def __del__(self):
                        pass

                # 创建自定义事件循环策略
                class DockerEventLoopPolicy(asyncio.DefaultEventLoopPolicy):
                    def get_child_watcher(self):
                        return DummyChildWatcher()

                # 临时设置策略
                old_policy = asyncio.get_event_loop_policy()
                asyncio.set_event_loop_policy(DockerEventLoopPolicy())

                try:
                    # 添加超时机制，避免无限等待
                    playwright = await asyncio.wait_for(
                        async_playwright().start(),
                        timeout=30.0  # 30秒超时
                    )
                    logger.warning(f"【{target_cookie_id}】Docker环境下Playwright启动成功")
                except asyncio.TimeoutError:
                    logger.error(f"【{target_cookie_id}】Docker环境下Playwright启动超时")
                    return False
                finally:
                    # 恢复原策略
                    asyncio.set_event_loop_policy(old_policy)
            else:
                # 非Docker环境，正常启动（也添加超时保护）
                try:
                    playwright = await asyncio.wait_for(
                        async_playwright().start(),
                        timeout=30.0  # 30秒超时
                    )
                except asyncio.TimeoutError:
                    logger.error(f"【{target_cookie_id}】Playwright启动超时")
                    return False

            # 启动浏览器（参照商品搜索的配置）
            browser_args = [
                '--no-sandbox',
                '--disable-setuid-sandbox',
                '--disable-dev-shm-usage',
                '--disable-accelerated-2d-canvas',
                '--no-first-run',
                '--no-zygote',
                '--disable-gpu',
                '--disable-background-timer-throttling',
                '--disable-backgrounding-occluded-windows',
                '--disable-renderer-backgrounding',
                '--disable-features=TranslateUI',
                '--disable-ipc-flooding-protection',
                '--disable-extensions',
                '--disable-default-apps',
                '--disable-sync',
                '--disable-translate',
                '--hide-scrollbars',
                '--mute-audio',
                '--no-default-browser-check',
                '--no-pings'
            ]

            # 在Docker环境中添加额外参数
            if os.getenv('DOCKER_ENV'):
                browser_args.extend([
                    # '--single-process',  # 注释掉，避免多用户并发时的进程冲突和资源泄漏
                    '--disable-background-networking',
                    '--disable-client-side-phishing-detection',
                    '--disable-hang-monitor',
                    '--disable-popup-blocking',
                    '--disable-prompt-on-repost',
                    '--disable-web-resources',
                    '--metrics-recording-only',
                    '--safebrowsing-disable-auto-update',
                    '--enable-automation',
                    '--password-store=basic',
                    '--use-mock-keychain'
                ])

            # 使用无头浏览器
            browser = await playwright.chromium.launch(
                headless=True,  # 改回无头模式
                args=browser_args
            )

            # 创建浏览器上下文
            context_options = {
                'user_agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36'
            }

            # 使用标准窗口大小
            context_options['viewport'] = {'width': 1920, 'height': 1080}

            context = await browser.new_context(**context_options)

            # 设置扫码登录获取的Cookie
            cookies = []
            for cookie_pair in qr_cookies_str.split('; '):
                if '=' in cookie_pair:
                    name, value = cookie_pair.split('=', 1)
                    cookies.append({
                        'name': name.strip(),
                        'value': value.strip(),
                        'domain': '.goofish.com',
                        'path': '/'
                    })

            await context.add_cookies(cookies)
            logger.info(f"【{target_cookie_id}】已设置 {len(cookies)} 个扫码Cookie到浏览器")

            # 打印设置的扫码Cookie详情
            logger.info(f"【{target_cookie_id}】=== 设置到浏览器的扫码Cookie ===")
            for i, cookie in enumerate(cookies, 1):
                logger.info(f"【{target_cookie_id}】{i:2d}. {cookie['name']}: {cookie['value'][:50]}{'...' if len(cookie['value']) > 50 else ''}")

            # 创建页面
            page = await context.new_page()

            # 等待页面准备
            await asyncio.sleep(0.1)

            # 访问指定页面获取真实cookie
            target_url = "https://www.goofish.com/im"
            logger.info(f"【{target_cookie_id}】访问页面获取真实cookie: {target_url}")

            # 使用更灵活的页面访问策略
            try:
                # 首先尝试较短超时
                await page.goto(target_url, wait_until='domcontentloaded', timeout=15000)
                logger.info(f"【{target_cookie_id}】页面访问成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{target_cookie_id}】页面访问超时，尝试降级策略...")
                    try:
                        # 降级策略：只等待基本加载
                        await page.goto(target_url, wait_until='load', timeout=20000)
                        logger.info(f"【{target_cookie_id}】页面访问成功（降级策略）")
                    except Exception as e2:
                        logger.warning(f"【{target_cookie_id}】降级策略也失败，尝试最基本访问...")
                        # 最后尝试：不等待任何加载完成
                        await page.goto(target_url, timeout=25000)
                        logger.info(f"【{target_cookie_id}】页面访问成功（最基本策略）")
                else:
                    raise e

            # 等待页面完全加载并获取真实cookie
            logger.info(f"【{target_cookie_id}】页面加载完成，等待获取真实cookie...")
            await asyncio.sleep(2)

            # 执行一次刷新以确保获取最新的cookie
            logger.info(f"【{target_cookie_id}】执行页面刷新获取最新cookie...")
            try:
                await page.reload(wait_until='domcontentloaded', timeout=12000)
                logger.info(f"【{target_cookie_id}】页面刷新成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{target_cookie_id}】页面刷新超时，使用降级策略...")
                    await page.reload(wait_until='load', timeout=15000)
                    logger.info(f"【{target_cookie_id}】页面刷新成功（降级策略）")
                else:
                    raise e
            await asyncio.sleep(1)

            # 获取更新后的真实Cookie
            logger.info(f"【{target_cookie_id}】获取真实Cookie...")
            updated_cookies = await context.cookies()

            # 构造新的Cookie字典
            real_cookies_dict = {}
            for cookie in updated_cookies:
                real_cookies_dict[cookie['name']] = cookie['value']

            # 生成真实cookie字符串
            real_cookies_str = '; '.join([f"{k}={v}" for k, v in real_cookies_dict.items()])

            logger.info(f"【{target_cookie_id}】真实Cookie已获取，包含 {len(real_cookies_dict)} 个字段")
            
            # 打印扫码登录获取的真实Cookie字段详情
            logger.info(f"【{target_cookie_id}】========== 扫码登录真实Cookie字段详情 ==========")
            logger.info(f"【{target_cookie_id}】Cookie字段数: {len(real_cookies_dict)}")
            logger.info(f"【{target_cookie_id}】Cookie字段列表:")
            for i, (key, value) in enumerate(real_cookies_dict.items(), 1):
                if len(str(value)) > 50:
                    logger.info(f"【{target_cookie_id}】  {i:2d}. {key}: {str(value)[:30]}...{str(value)[-20:]} (长度: {len(str(value))})")
                else:
                    logger.info(f"【{target_cookie_id}】  {i:2d}. {key}: {value}")
            
            # 检查关键字段
            important_keys = ['unb', '_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie', 'cna']
            logger.info(f"【{target_cookie_id}】关键字段检查:")
            for key in important_keys:
                if key in real_cookies_dict:
                    val = real_cookies_dict[key]
                    logger.info(f"【{target_cookie_id}】  ✅ {key}: {'存在' if val else '为空'} (长度: {len(str(val)) if val else 0})")
                else:
                    logger.info(f"【{target_cookie_id}】  ❌ {key}: 缺失")
            logger.info(f"【{target_cookie_id}】==========================================")

            # 打印完整的真实Cookie内容
            logger.info(f"【{target_cookie_id}】=== 完整真实Cookie内容 ===")
            logger.info(f"【{target_cookie_id}】Cookie字符串长度: {len(real_cookies_str)}")
            logger.info(f"【{target_cookie_id}】Cookie完整内容:")
            logger.info(f"【{target_cookie_id}】{real_cookies_str}")

            # 打印所有Cookie字段的详细信息
            logger.info(f"【{target_cookie_id}】=== Cookie字段详细信息 ===")
            for i, (name, value) in enumerate(real_cookies_dict.items(), 1):
                # 对于长值，显示前后部分
                if len(value) > 50:
                    display_value = f"{value[:20]}...{value[-20:]}"
                else:
                    display_value = value
                logger.info(f"【{target_cookie_id}】{i:2d}. {name}: {display_value}")

            # 打印原始扫码Cookie对比
            logger.info(f"【{target_cookie_id}】=== 扫码Cookie对比 ===")
            logger.info(f"【{target_cookie_id}】扫码Cookie长度: {len(qr_cookies_str)}")
            logger.info(f"【{target_cookie_id}】扫码Cookie字段数: {len(qr_cookies_dict)}")
            logger.info(f"【{target_cookie_id}】真实Cookie长度: {len(real_cookies_str)}")
            logger.info(f"【{target_cookie_id}】真实Cookie字段数: {len(real_cookies_dict)}")
            logger.info(f"【{target_cookie_id}】长度增加: {len(real_cookies_str) - len(qr_cookies_str)} 字符")
            logger.info(f"【{target_cookie_id}】字段增加: {len(real_cookies_dict) - len(qr_cookies_dict)} 个")

            # 检查Cookie变化
            changed_cookies = []
            new_cookies = []
            for name, new_value in real_cookies_dict.items():
                old_value = qr_cookies_dict.get(name)
                if old_value is None:
                    new_cookies.append(name)
                elif old_value != new_value:
                    changed_cookies.append(name)

            # 显示Cookie变化统计
            if changed_cookies:
                logger.info(f"【{target_cookie_id}】发生变化的Cookie字段 ({len(changed_cookies)}个): {', '.join(changed_cookies)}")
            if new_cookies:
                logger.info(f"【{target_cookie_id}】新增的Cookie字段 ({len(new_cookies)}个): {', '.join(new_cookies)}")
            if not changed_cookies and not new_cookies:
                logger.info(f"【{target_cookie_id}】Cookie无变化")

            # 打印重要Cookie字段的完整详情
            important_cookies = ['_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie', 'unb', 'uc1', 'uc3', 'uc4']
            logger.info(f"【{target_cookie_id}】=== 重要Cookie字段完整详情 ===")
            for cookie_name in important_cookies:
                if cookie_name in real_cookies_dict:
                    cookie_value = real_cookies_dict[cookie_name]

                    # 标记是否发生了变化
                    change_mark = " [已变化]" if cookie_name in changed_cookies else " [新增]" if cookie_name in new_cookies else " [无变化]"

                    # 显示完整的cookie值
                    logger.info(f"【{target_cookie_id}】{cookie_name}{change_mark}:")
                    logger.info(f"【{target_cookie_id}】  值: {cookie_value}")
                    logger.info(f"【{target_cookie_id}】  长度: {len(cookie_value)}")

                    # 如果有对应的扫码cookie值，显示对比
                    if cookie_name in qr_cookies_dict:
                        old_value = qr_cookies_dict[cookie_name]
                        if old_value != cookie_value:
                            logger.info(f"【{target_cookie_id}】  原值: {old_value}")
                            logger.info(f"【{target_cookie_id}】  原长度: {len(old_value)}")
                    logger.info(f"【{target_cookie_id}】  ---")
                else:
                    logger.info(f"【{target_cookie_id}】{cookie_name}: [不存在]")

            # 保存真实Cookie到数据库
            from db_manager import db_manager
            
            # 检查是否为新账号
            existing_cookie = db_manager.get_cookie_details(target_cookie_id)
            if existing_cookie:
                # 现有账号，使用 update_cookie_account_info 避免覆盖其他字段（如 pause_duration, remark 等）
                success = db_manager.update_cookie_account_info(target_cookie_id, cookie_value=real_cookies_str)
            else:
                # 新账号，使用 save_cookie
                success = db_manager.save_cookie(target_cookie_id, real_cookies_str, target_user_id)

            if success:
                logger.info(f"【{target_cookie_id}】真实Cookie已成功保存到数据库")

                # 如果当前实例的cookie_id匹配，更新实例的cookie信息
                if target_cookie_id == self.cookie_id:
                    self.cookies = real_cookies_dict
                    self.cookies_str = real_cookies_str
                    logger.info(f"【{target_cookie_id}】已更新当前实例的Cookie信息")

                # 更新扫码登录Cookie刷新时间标志
                self.last_qr_cookie_refresh_time = time.time()
                logger.info(f"【{target_cookie_id}】已更新扫码登录Cookie刷新时间标志，_refresh_cookies_via_browser将等待{self.qr_cookie_refresh_cooldown//60}分钟后执行")

                return True
            else:
                logger.error(f"【{target_cookie_id}】保存真实Cookie到数据库失败")
                return False

        except Exception as e:
            logger.error(f"【{target_cookie_id}】使用扫码cookie获取真实cookie失败: {self._safe_str(e)}")
            return False
        finally:
            # 确保资源清理
            try:
                # 先关闭浏览器，再关闭Playwright（顺序很重要）
                if browser:
                    try:
                        await asyncio.wait_for(browser.close(), timeout=5.0)
                        logger.warning(f"【{target_cookie_id}】浏览器关闭完成")
                    except asyncio.TimeoutError:
                        logger.warning(f"【{target_cookie_id}】浏览器关闭超时（5秒），资源可能未完全释放")
                        # 尝试取消浏览器相关的任务
                        try:
                            if hasattr(browser, '_connection'):
                                browser._connection = None
                        except:
                            pass
                    except Exception as e:
                        logger.warning(f"【{target_cookie_id}】关闭浏览器时出错: {self._safe_str(e)}")
                
                # Playwright关闭：使用更短的超时，超时后立即放弃
                if playwright:
                    try:
                        logger.warning(f"【{target_cookie_id}】正在关闭Playwright...")
                        await asyncio.wait_for(playwright.stop(), timeout=2.0)
                        logger.warning(f"【{target_cookie_id}】Playwright关闭完成")
                    except asyncio.TimeoutError:
                        logger.warning(f"【{target_cookie_id}】Playwright关闭超时（2秒），进程可能仍在运行")
                        logger.warning(f"【{target_cookie_id}】提示：如果后续Playwright启动失败，可能需要手动清理残留进程")
                        # 尝试清理Playwright的内部状态
                        try:
                            # 取消可能正在运行的Playwright任务
                            if hasattr(playwright, '_transport'):
                                playwright._transport = None
                        except:
                            pass
                    except Exception as e:
                        logger.warning(f"【{target_cookie_id}】关闭Playwright时出错: {self._safe_str(e)}")
            except Exception as cleanup_e:
                logger.warning(f"【{target_cookie_id}】清理浏览器资源时出错: {self._safe_str(cleanup_e)}")

    async def _refresh_cookies_via_browser_page(self, current_cookies_str: str):
        """使用当前cookie访问指定页面获取真实cookie并更新
        
        这是令牌过期时的备用刷新方案，类似于refresh_cookies_from_qr_login，
        但使用当前的cookie而不是扫码登录的cookie。

        Args:
            current_cookies_str: 当前的cookie字符串

        Returns:
            bool: 成功返回True，失败返回False
        """
        playwright = None
        browser = None

        try:
            import asyncio
            from playwright.async_api import async_playwright
            from utils.xianyu_utils import trans_cookies

            logger.info(f"【{self.cookie_id}】开始使用当前cookie访问指定页面获取真实cookie...")
            logger.info(f"【{self.cookie_id}】当前cookie长度: {len(current_cookies_str)}")

            # 解析当前的cookie
            current_cookies_dict = trans_cookies(current_cookies_str)
            logger.info(f"【{self.cookie_id}】当前cookie字段数: {len(current_cookies_dict)}")

            # Docker环境下修复asyncio子进程问题
            is_docker = os.getenv('DOCKER_ENV') or os.path.exists('/.dockerenv')

            if is_docker:
                logger.warning(f"【{self.cookie_id}】检测到Docker环境，应用asyncio修复")

                # 创建一个完整的虚拟子进程监视器
                class DummyChildWatcher:
                    def __enter__(self):
                        return self
                    def __exit__(self, *args):
                        pass
                    def is_active(self):
                        return True
                    def add_child_handler(self, *args, **kwargs):
                        pass
                    def remove_child_handler(self, *args, **kwargs):
                        pass
                    def attach_loop(self, *args, **kwargs):
                        pass
                    def close(self):
                        pass
                    def __del__(self):
                        pass

                # 创建自定义事件循环策略
                class DockerEventLoopPolicy(asyncio.DefaultEventLoopPolicy):
                    def get_child_watcher(self):
                        return DummyChildWatcher()

                # 临时设置策略
                old_policy = asyncio.get_event_loop_policy()
                asyncio.set_event_loop_policy(DockerEventLoopPolicy())

                try:
                    # 添加超时机制，避免无限等待
                    playwright = await asyncio.wait_for(
                        async_playwright().start(),
                        timeout=30.0  # 30秒超时
                    )
                    logger.warning(f"【{self.cookie_id}】Docker环境下Playwright启动成功")
                except asyncio.TimeoutError:
                    logger.error(f"【{self.cookie_id}】Docker环境下Playwright启动超时")
                    return False
                finally:
                    # 恢复原策略
                    asyncio.set_event_loop_policy(old_policy)
            else:
                # 非Docker环境，正常启动（也添加超时保护）
                try:
                    playwright = await asyncio.wait_for(
                        async_playwright().start(),
                        timeout=30.0  # 30秒超时
                    )
                except asyncio.TimeoutError:
                    logger.error(f"【{self.cookie_id}】Playwright启动超时")
                    return False

            # 启动浏览器（参照商品搜索的配置）
            browser_args = [
                '--no-sandbox',
                '--disable-setuid-sandbox',
                '--disable-dev-shm-usage',
                '--disable-accelerated-2d-canvas',
                '--no-first-run',
                '--no-zygote',
                '--disable-gpu',
                '--disable-background-timer-throttling',
                '--disable-backgrounding-occluded-windows',
                '--disable-renderer-backgrounding',
                '--disable-features=TranslateUI',
                '--disable-ipc-flooding-protection',
                '--disable-extensions',
                '--disable-default-apps',
                '--disable-sync',
                '--disable-translate',
                '--hide-scrollbars',
                '--mute-audio',
                '--no-default-browser-check',
                '--no-pings'
            ]

            # 在Docker环境中添加额外参数
            if os.getenv('DOCKER_ENV'):
                browser_args.extend([
                    '--disable-background-networking',
                    '--disable-client-side-phishing-detection',
                    '--disable-hang-monitor',
                    '--disable-popup-blocking',
                    '--disable-prompt-on-repost',
                    '--disable-web-resources',
                    '--metrics-recording-only',
                    '--safebrowsing-disable-auto-update',
                    '--enable-automation',
                    '--password-store=basic',
                    '--use-mock-keychain'
                ])

            # 使用无头浏览器
            browser = await playwright.chromium.launch(
                headless=True,
                args=browser_args
            )

            # 创建浏览器上下文
            context_options = {
                'user_agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36'
            }

            # 使用标准窗口大小
            context_options['viewport'] = {'width': 1920, 'height': 1080}

            context = await browser.new_context(**context_options)

            # 设置当前的Cookie
            cookies = []
            for cookie_pair in current_cookies_str.split('; '):
                if '=' in cookie_pair:
                    name, value = cookie_pair.split('=', 1)
                    cookies.append({
                        'name': name.strip(),
                        'value': value.strip(),
                        'domain': '.goofish.com',
                        'path': '/'
                    })

            await context.add_cookies(cookies)
            logger.info(f"【{self.cookie_id}】已设置 {len(cookies)} 个当前Cookie到浏览器")

            # 创建页面
            page = await context.new_page()

            # 等待页面准备
            await asyncio.sleep(0.1)

            # 访问指定页面获取真实cookie
            target_url = "https://www.goofish.com/im"
            logger.info(f"【{self.cookie_id}】访问页面获取真实cookie: {target_url}")

            # 使用更灵活的页面访问策略
            try:
                # 首先尝试较短超时
                await page.goto(target_url, wait_until='domcontentloaded', timeout=15000)
                logger.info(f"【{self.cookie_id}】页面访问成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{self.cookie_id}】页面访问超时，尝试降级策略...")
                    try:
                        # 降级策略：只等待基本加载
                        await page.goto(target_url, wait_until='load', timeout=20000)
                        logger.info(f"【{self.cookie_id}】页面访问成功（降级策略）")
                    except Exception as e2:
                        logger.warning(f"【{self.cookie_id}】降级策略也失败，尝试最基本访问...")
                        # 最后尝试：不等待任何加载完成
                        await page.goto(target_url, timeout=25000)
                        logger.info(f"【{self.cookie_id}】页面访问成功（最基本策略）")
                else:
                    raise e

            # 等待页面完全加载并获取真实cookie
            logger.info(f"【{self.cookie_id}】页面加载完成，等待获取真实cookie...")
            await asyncio.sleep(2)

            # 执行一次刷新以确保获取最新的cookie
            logger.info(f"【{self.cookie_id}】执行页面刷新获取最新cookie...")
            try:
                await page.reload(wait_until='domcontentloaded', timeout=12000)
                logger.info(f"【{self.cookie_id}】页面刷新成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{self.cookie_id}】页面刷新超时，使用降级策略...")
                    await page.reload(wait_until='load', timeout=15000)
                    logger.info(f"【{self.cookie_id}】页面刷新成功（降级策略）")
                else:
                    raise e
            await asyncio.sleep(1)

            # 获取更新后的真实Cookie
            logger.info(f"【{self.cookie_id}】获取真实Cookie...")
            updated_cookies = await context.cookies()

            # 构造新的Cookie字典
            real_cookies_dict = {}
            for cookie in updated_cookies:
                real_cookies_dict[cookie['name']] = cookie['value']

            # 生成真实cookie字符串
            real_cookies_str = '; '.join([f"{k}={v}" for k, v in real_cookies_dict.items()])

            logger.info(f"【{self.cookie_id}】真实Cookie已获取，包含 {len(real_cookies_dict)} 个字段")
            logger.info(f"【{self.cookie_id}】真实Cookie: {real_cookies_str}")
            # 检查关键字段
            important_keys = ['unb', '_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie', 'cna']
            logger.info(f"【{self.cookie_id}】关键字段检查:")
            for key in important_keys:
                if key in real_cookies_dict:
                    val = real_cookies_dict[key]
                    logger.info(f"【{self.cookie_id}】  ✅ {key}: {'存在' if val else '为空'} (长度: {len(str(val)) if val else 0})")
                else:
                    logger.info(f"【{self.cookie_id}】  ❌ {key}: 缺失")

            # 检查Cookie是否有有效更新
            changed_cookies = []
            new_cookies = []
            for name, new_value in real_cookies_dict.items():
                old_value = current_cookies_dict.get(name)
                if old_value is None:
                    new_cookies.append(name)
                elif old_value != new_value:
                    changed_cookies.append(name)

            if not changed_cookies and not new_cookies:
                logger.warning(f"【{self.cookie_id}】Cookie无变化，可能当前cookie已失效")
                return False

            logger.info(f"【{self.cookie_id}】发生变化的Cookie字段 ({len(changed_cookies)}个): {', '.join(changed_cookies[:10])}")
            if new_cookies:
                logger.info(f"【{self.cookie_id}】新增的Cookie字段 ({len(new_cookies)}个): {', '.join(new_cookies[:10])}")

            # 更新Cookie并重启任务
            logger.info(f"【{self.cookie_id}】开始更新Cookie并重启任务...")
            update_success = await self._update_cookies_and_restart(real_cookies_str)

            if update_success:
                logger.info(f"【{self.cookie_id}】通过访问指定页面成功更新Cookie并重启任务")
                return True
            else:
                logger.error(f"【{self.cookie_id}】更新Cookie或重启任务失败")
                return False

        except Exception as e:
            logger.error(f"【{self.cookie_id}】使用当前cookie访问指定页面获取真实cookie失败: {self._safe_str(e)}")
            return False
        finally:
            # 确保资源清理
            try:
                # 先关闭浏览器，再关闭Playwright（顺序很重要）
                if browser:
                    try:
                        await asyncio.wait_for(browser.close(), timeout=5.0)
                        logger.warning(f"【{self.cookie_id}】浏览器关闭完成")
                    except asyncio.TimeoutError:
                        logger.warning(f"【{self.cookie_id}】浏览器关闭超时（5秒），资源可能未完全释放")
                    except Exception as e:
                        logger.warning(f"【{self.cookie_id}】关闭浏览器时出错: {self._safe_str(e)}")
                
                # Playwright关闭：使用更短的超时，超时后立即放弃
                if playwright:
                    try:
                        logger.warning(f"【{self.cookie_id}】正在关闭Playwright...")
                        await asyncio.wait_for(playwright.stop(), timeout=2.0)
                        logger.warning(f"【{self.cookie_id}】Playwright关闭完成")
                    except asyncio.TimeoutError:
                        logger.warning(f"【{self.cookie_id}】Playwright关闭超时（2秒），进程可能仍在运行")
                    except Exception as e:
                        logger.warning(f"【{self.cookie_id}】关闭Playwright时出错: {self._safe_str(e)}")
            except Exception as cleanup_e:
                logger.warning(f"【{self.cookie_id}】清理浏览器资源时出错: {self._safe_str(cleanup_e)}")

    def reset_qr_cookie_refresh_flag(self):
        """重置扫码登录Cookie刷新标志，允许立即执行_refresh_cookies_via_browser"""
        self.last_qr_cookie_refresh_time = 0
        logger.info(f"【{self.cookie_id}】已重置扫码登录Cookie刷新标志")

    def get_qr_cookie_refresh_remaining_time(self) -> int:
        """获取扫码登录Cookie刷新剩余冷却时间（秒）"""
        current_time = time.time()
        time_since_qr_refresh = current_time - self.last_qr_cookie_refresh_time
        remaining_time = max(0, self.qr_cookie_refresh_cooldown - time_since_qr_refresh)
        return int(remaining_time)

    async def _refresh_cookies_via_browser(self, triggered_by_refresh_token: bool = False):
        """通过浏览器访问指定页面刷新Cookie

        Args:
            triggered_by_refresh_token: 是否由refresh_token方法触发，如果是True则设置browser_cookie_refreshed标志
        """


        playwright = None
        browser = None
        try:
            import asyncio
            from playwright.async_api import async_playwright

            # 检查是否需要等待扫码登录Cookie刷新的冷却时间
            current_time = time.time()
            time_since_qr_refresh = current_time - self.last_qr_cookie_refresh_time

            if time_since_qr_refresh < self.qr_cookie_refresh_cooldown:
                remaining_time = self.qr_cookie_refresh_cooldown - time_since_qr_refresh
                remaining_minutes = int(remaining_time // 60)
                remaining_seconds = int(remaining_time % 60)

                logger.info(f"【{self.cookie_id}】扫码登录Cookie刷新冷却中，还需等待 {remaining_minutes}分{remaining_seconds}秒")
                logger.info(f"【{self.cookie_id}】跳过本次浏览器Cookie刷新")
                return False

            logger.info(f"【{self.cookie_id}】开始通过浏览器刷新Cookie...")
            logger.info(f"【{self.cookie_id}】刷新前Cookie长度: {len(self.cookies_str)}")
            logger.info(f"【{self.cookie_id}】刷新前Cookie字段数: {len(self.cookies)}")

            # Docker环境下修复asyncio子进程问题
            is_docker = os.getenv('DOCKER_ENV') or os.path.exists('/.dockerenv')

            if is_docker:
                logger.warning(f"【{self.cookie_id}】检测到Docker环境，应用asyncio修复")

                # 创建一个完整的虚拟子进程监视器
                class DummyChildWatcher:
                    def __enter__(self):
                        return self
                    def __exit__(self, *args):
                        pass
                    def is_active(self):
                        return True
                    def add_child_handler(self, *args, **kwargs):
                        pass
                    def remove_child_handler(self, *args, **kwargs):
                        pass
                    def attach_loop(self, *args, **kwargs):
                        pass
                    def close(self):
                        pass
                    def __del__(self):
                        pass

                # 创建自定义事件循环策略
                class DockerEventLoopPolicy(asyncio.DefaultEventLoopPolicy):
                    def get_child_watcher(self):
                        return DummyChildWatcher()

                # 临时设置策略
                old_policy = asyncio.get_event_loop_policy()
                asyncio.set_event_loop_policy(DockerEventLoopPolicy())

                try:
                    # 添加超时机制，避免无限等待
                    playwright = await asyncio.wait_for(
                        async_playwright().start(),
                        timeout=30.0  # 30秒超时
                    )
                    logger.warning(f"【{self.cookie_id}】Docker环境下Playwright启动成功")
                except asyncio.TimeoutError:
                    logger.error(f"【{self.cookie_id}】Docker环境下Playwright启动超时")
                    return False
                finally:
                    # 恢复原策略
                    asyncio.set_event_loop_policy(old_policy)
            else:
                # 非Docker环境，正常启动（也添加超时保护）
                try:
                    playwright = await asyncio.wait_for(
                        async_playwright().start(),
                        timeout=30.0  # 30秒超时
                    )
                except asyncio.TimeoutError:
                    logger.error(f"【{self.cookie_id}】Playwright启动超时")
                    return False

            # 启动浏览器（参照商品搜索的配置）
            browser_args = [
                '--no-sandbox',
                '--disable-setuid-sandbox',
                '--disable-dev-shm-usage',
                '--disable-accelerated-2d-canvas',
                '--no-first-run',
                '--no-zygote',
                '--disable-gpu',
                '--disable-background-timer-throttling',
                '--disable-backgrounding-occluded-windows',
                '--disable-renderer-backgrounding',
                '--disable-features=TranslateUI',
                '--disable-ipc-flooding-protection',
                '--disable-extensions',
                '--disable-default-apps',
                '--disable-sync',
                '--disable-translate',
                '--hide-scrollbars',
                '--mute-audio',
                '--no-default-browser-check',
                '--no-pings'
            ]

            # 在Docker环境中添加额外参数
            if os.getenv('DOCKER_ENV'):
                browser_args.extend([
                    # '--single-process',  # 注释掉，避免多用户并发时的进程冲突和资源泄漏
                    '--disable-background-networking',
                    '--disable-client-side-phishing-detection',
                    '--disable-hang-monitor',
                    '--disable-popup-blocking',
                    '--disable-prompt-on-repost',
                    '--disable-web-resources',
                    '--metrics-recording-only',
                    '--safebrowsing-disable-auto-update',
                    '--enable-automation',
                    '--password-store=basic',
                    '--use-mock-keychain'
                ])

            # Cookie刷新模式使用无头浏览器
            browser = await playwright.chromium.launch(
                headless=True,
                args=browser_args
            )

            # 创建浏览器上下文
            context_options = {
                'user_agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36'
            }

            # 使用标准窗口大小
            context_options['viewport'] = {'width': 1920, 'height': 1080}

            context = await browser.new_context(**context_options)

            # 设置当前Cookie
            cookies = []
            for cookie_pair in self.cookies_str.split('; '):
                if '=' in cookie_pair:
                    name, value = cookie_pair.split('=', 1)
                    cookies.append({
                        'name': name.strip(),
                        'value': value.strip(),
                        'domain': '.goofish.com',
                        'path': '/'
                    })

            await context.add_cookies(cookies)
            logger.info(f"【{self.cookie_id}】已设置 {len(cookies)} 个Cookie到浏览器")

            # 创建页面
            page = await context.new_page()

            # 等待页面准备
            await asyncio.sleep(0.1)

            # 访问指定页面
            target_url = "https://www.goofish.com/im"
            logger.info(f"【{self.cookie_id}】访问页面: {target_url}")

            # 使用更灵活的页面访问策略
            try:
                # 首先尝试较短超时
                await page.goto(target_url, wait_until='domcontentloaded', timeout=15000)
                logger.info(f"【{self.cookie_id}】页面访问成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{self.cookie_id}】页面访问超时，尝试降级策略...")
                    try:
                        # 降级策略：只等待基本加载
                        await page.goto(target_url, wait_until='load', timeout=20000)
                        logger.info(f"【{self.cookie_id}】页面访问成功（降级策略）")
                    except Exception as e2:
                        logger.warning(f"【{self.cookie_id}】降级策略也失败，尝试最基本访问...")
                        # 最后尝试：不等待任何加载完成
                        await page.goto(target_url, timeout=25000)
                        logger.info(f"【{self.cookie_id}】页面访问成功（最基本策略）")
                else:
                    raise e

            # Cookie刷新模式：执行两次刷新
            logger.info(f"【{self.cookie_id}】页面加载完成，开始刷新...")
            await asyncio.sleep(1)

            # 第一次刷新 - 带重试机制
            logger.info(f"【{self.cookie_id}】执行第一次刷新...")
            try:
                await page.reload(wait_until='domcontentloaded', timeout=12000)
                logger.info(f"【{self.cookie_id}】第一次刷新成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{self.cookie_id}】第一次刷新超时，使用降级策略...")
                    await page.reload(wait_until='load', timeout=15000)
                    logger.info(f"【{self.cookie_id}】第一次刷新成功（降级策略）")
                else:
                    raise e
            await asyncio.sleep(1)

            # 第二次刷新 - 带重试机制
            logger.info(f"【{self.cookie_id}】执行第二次刷新...")
            try:
                await page.reload(wait_until='domcontentloaded', timeout=12000)
                logger.info(f"【{self.cookie_id}】第二次刷新成功")
            except Exception as e:
                if 'timeout' in str(e).lower():
                    logger.warning(f"【{self.cookie_id}】第二次刷新超时，使用降级策略...")
                    await page.reload(wait_until='load', timeout=15000)
                    logger.info(f"【{self.cookie_id}】第二次刷新成功（降级策略）")
                else:
                    raise e
            await asyncio.sleep(1)

            # Cookie刷新模式：正常更新Cookie
            logger.info(f"【{self.cookie_id}】获取更新后的Cookie...")
            updated_cookies = await context.cookies()
            
            # 获取并打印当前页面标题
            page_title = await page.title()
            logger.info(f"【{self.cookie_id}】当前页面标题: {page_title}")

            # 构造新的Cookie字典
            new_cookies_dict = {}
            for cookie in updated_cookies:
                new_cookies_dict[cookie['name']] = cookie['value']

            # 检查Cookie变化
            changed_cookies = []
            new_cookies = []
            for name, new_value in new_cookies_dict.items():
                old_value = self.cookies.get(name)
                if old_value is None:
                    new_cookies.append(name)
                elif old_value != new_value:
                    changed_cookies.append(name)

            # 更新self.cookies和cookies_str
            self.cookies.update(new_cookies_dict)
            self.cookies_str = '; '.join([f"{k}={v}" for k, v in self.cookies.items()])

            logger.info(f"【{self.cookie_id}】Cookie已更新，包含 {len(new_cookies_dict)} 个字段")

            # 显示Cookie变化统计
            if changed_cookies:
                logger.info(f"【{self.cookie_id}】发生变化的Cookie字段 ({len(changed_cookies)}个): {', '.join(changed_cookies)}")
            if new_cookies:
                logger.info(f"【{self.cookie_id}】新增的Cookie字段 ({len(new_cookies)}个): {', '.join(new_cookies)}")
            if not changed_cookies and not new_cookies:
                logger.info(f"【{self.cookie_id}】Cookie无变化")

            # 打印完整的更新后Cookie（可选择性启用）
            logger.info(f"【{self.cookie_id}】更新后的完整Cookie: {self.cookies_str}")

            # 打印主要的Cookie字段详情
            important_cookies = ['_m_h5_tk', '_m_h5_tk_enc', 'cookie2', 't', 'sgcookie', 'unb', 'uc1', 'uc3', 'uc4']
            logger.info(f"【{self.cookie_id}】重要Cookie字段详情:")
            for cookie_name in important_cookies:
                if cookie_name in new_cookies_dict:
                    cookie_value = new_cookies_dict[cookie_name]
                    # 对于敏感信息，只显示前后几位
                    if len(cookie_value) > 20:
                        display_value = f"{cookie_value[:8]}...{cookie_value[-8:]}"
                    else:
                        display_value = cookie_value

                    # 标记是否发生了变化
                    change_mark = " [已变化]" if cookie_name in changed_cookies else " [新增]" if cookie_name in new_cookies else ""
                    logger.info(f"【{self.cookie_id}】  {cookie_name}: {display_value}{change_mark}")

            # 更新数据库中的Cookie
            await self.update_config_cookies()

            # 只有当由refresh_token触发时才设置浏览器Cookie刷新成功标志
            if triggered_by_refresh_token:
                self.browser_cookie_refreshed = True
                logger.info(f"【{self.cookie_id}】由refresh_token触发，浏览器Cookie刷新成功标志已设置为True")

                # 兜底：直接在此处触发实例重启，避免外层协程在返回后被取消导致未重启
                try:
                    # 标记"刷新流程内已触发重启"，供外层去重
                    self.restarted_in_browser_refresh = True

                    logger.info(f"【{self.cookie_id}】Cookie刷新成功，准备重启实例...(via _refresh_cookies_via_browser)")
                    await self._restart_instance()
                    
                    # ⚠️ _restart_instance() 已触发重启，当前任务即将被取消
                    # 不要等待或执行耗时操作
                    logger.info(f"【{self.cookie_id}】重启请求已触发(via _refresh_cookies_via_browser)")
                    
                    # 标记重启标志（无需主动关闭WS，重启由管理器处理）
                    self.connection_restart_flag = True
                except Exception as e:
                    logger.error(f"【{self.cookie_id}】兜底重启失败: {self._safe_str(e)}")
            else:
                logger.info(f"【{self.cookie_id}】由定时任务触发，不设置浏览器Cookie刷新成功标志")

            logger.info(f"【{self.cookie_id}】Cookie刷新完成")
            return True

        except Exception as e:
            logger.error(f"【{self.cookie_id}】通过浏览器刷新Cookie失败: {self._safe_str(e)}")
            return False
        finally:
            # 异步关闭浏览器：创建清理任务并等待完成，确保资源正确释放
            close_task = None
            try:
                if browser or playwright:
                    # 创建关闭任务
                    close_task = asyncio.create_task(
                        self._async_close_browser(browser, playwright)
                    )
                    logger.info(f"【{self.cookie_id}】浏览器异步关闭任务已启动")
                    
                    # 等待关闭任务完成，但设置超时避免阻塞太久
                    try:
                        await asyncio.wait_for(close_task, timeout=15.0)
                        logger.info(f"【{self.cookie_id}】浏览器关闭任务已完成")
                    except asyncio.TimeoutError:
                        logger.warning(f"【{self.cookie_id}】浏览器关闭任务超时（15秒），强制继续")
                        # 取消任务，避免资源泄漏
                        if not close_task.done():
                            close_task.cancel()
                            try:
                                await close_task
                            except (asyncio.CancelledError, Exception):
                                pass
                    except Exception as wait_e:
                        logger.warning(f"【{self.cookie_id}】等待浏览器关闭任务时出错: {self._safe_str(wait_e)}")
                        # 确保任务被取消
                        if close_task and not close_task.done():
                            close_task.cancel()
                            try:
                                await close_task
                            except (asyncio.CancelledError, Exception):
                                pass
            except Exception as cleanup_e:
                logger.warning(f"【{self.cookie_id}】创建浏览器关闭任务时出错: {self._safe_str(cleanup_e)}")
                # 如果创建任务失败，尝试直接关闭
                if browser or playwright:
                    try:
                        await self._force_close_resources(browser, playwright)
                    except Exception:
                        pass

    async def _async_close_browser(self, browser, playwright):
        """异步关闭：正常关闭，超时后强制关闭"""
        try:
            logger.info(f"【{self.cookie_id}】开始异步关闭浏览器...")  # 改为info级别
            
            # 正常关闭，设置超时
            await asyncio.wait_for(
                self._normal_close_resources(browser, playwright),
                timeout=10.0
            )
            logger.info(f"【{self.cookie_id}】浏览器正常关闭完成")  # 改为info级别
            
        except asyncio.TimeoutError:
            logger.warning(f"【{self.cookie_id}】正常关闭超时，开始强制关闭...")
            await self._force_close_resources(browser, playwright)
            
        except Exception as e:
            logger.warning(f"【{self.cookie_id}】异步关闭时出错，强制关闭: {self._safe_str(e)}")
            await self._force_close_resources(browser, playwright)

    async def _normal_close_resources(self, browser, playwright):
        """正常关闭资源：浏览器+Playwright短超时关闭"""
        try:
            # 先关闭浏览器，再关闭Playwright
            if browser:
                try:
                    # 关闭浏览器，设置超时
                    await asyncio.wait_for(browser.close(), timeout=5.0)
                    logger.info(f"【{self.cookie_id}】浏览器关闭完成")
                except asyncio.TimeoutError:
                    logger.warning(f"【{self.cookie_id}】浏览器关闭超时，尝试强制关闭")
                    try:
                        # 尝试强制关闭
                        if hasattr(browser, '_connection'):
                            browser._connection.dispose()
                    except Exception:
                        pass
                except Exception as e:
                    logger.warning(f"【{self.cookie_id}】关闭浏览器时出错: {e}")
            
            # 关闭Playwright：使用短超时，如果超时就放弃
            if playwright:
                try:
                    logger.info(f"【{self.cookie_id}】正在关闭Playwright...")
                    # 增加超时时间，确保Playwright有足够时间清理资源
                    await asyncio.wait_for(playwright.stop(), timeout=5.0)
                    logger.info(f"【{self.cookie_id}】Playwright关闭完成")
                except asyncio.TimeoutError:
                    logger.warning(f"【{self.cookie_id}】Playwright关闭超时，将自动清理")
                    # 尝试强制清理Playwright的内部连接
                    try:
                        if hasattr(playwright, '_connection'):
                            playwright._connection.dispose()
                    except Exception:
                        pass
                except Exception as e:
                    logger.warning(f"【{self.cookie_id}】关闭Playwright时出错: {e}")
                
        except Exception as e:
            logger.error(f"【{self.cookie_id}】正常关闭时出现异常: {e}")
            raise

    
    async def _force_close_resources(self, browser, playwright):
        """强制关闭资源：强制关闭浏览器+Playwright超时等待"""
        try:
            logger.warning(f"【{self.cookie_id}】开始强制关闭资源...")
            
            # 强制关闭浏览器+Playwright，设置短超时
            force_tasks = []
            if browser:
                force_tasks.append(asyncio.wait_for(browser.close(), timeout=3.0))
            if playwright:
                force_tasks.append(asyncio.wait_for(playwright.stop(), timeout=3.0))
            
            if force_tasks:
                # 使用gather执行，所有失败都会被忽略
                results = await asyncio.gather(*force_tasks, return_exceptions=True)
                
                # 检查是否有超时或异常，尝试强制清理
                for i, result in enumerate(results):
                    if isinstance(result, (asyncio.TimeoutError, Exception)):
                        resource_name = "浏览器" if i == 0 and browser else "Playwright"
                        logger.warning(f"【{self.cookie_id}】{resource_name}强制关闭失败，尝试直接清理连接")
                        try:
                            if i == 0 and browser and hasattr(browser, '_connection'):
                                browser._connection.dispose()
                            elif playwright and hasattr(playwright, '_connection'):
                                playwright._connection.dispose()
                        except Exception:
                            pass
                
                logger.info(f"【{self.cookie_id}】强制关闭完成")
            else:
                logger.info(f"【{self.cookie_id}】没有需要强制关闭的资源")
            
        except Exception as e:
            logger.warning(f"【{self.cookie_id}】强制关闭时出现异常（已忽略）: {e}")

    async def send_msg_once(self, toid, item_id, text):
        headers = {
            "Cookie": self.cookies_str,
            "Host": "wss-goofish.dingtalk.com",
            "Connection": "Upgrade",
            "Pragma": "no-cache",
            "Cache-Control": "no-cache",
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36",
            "Origin": "https://www.goofish.com",
            "Accept-Encoding": "gzip, deflate, br, zstd",
            "Accept-Language": "zh-CN,zh;q=0.9",
        }
        # 兼容不同版本的websockets库
        try:
            async with websockets.connect(
                self.base_url,
                extra_headers=headers
            ) as websocket:
                await self._handle_websocket_connection(websocket, toid, item_id, text)
        except TypeError as e:
            # 安全地检查异常信息
            error_msg = self._safe_str(e)

            if "extra_headers" in error_msg:
                logger.warning("websockets库不支持extra_headers参数，使用兼容模式")
                # 使用兼容模式，通过subprotocols传递部分头信息
                async with websockets.connect(
                    self.base_url,
                    additional_headers=headers
                ) as websocket:
                    await self._handle_websocket_connection(websocket, toid, item_id, text)
            else:
                raise

    async def _create_websocket_connection(self, headers):
        """创建WebSocket连接，兼容不同版本的websockets库"""
        import websockets

        # 获取websockets版本用于调试
        websockets_version = getattr(websockets, '__version__', '未知')
        logger.warning(f"websockets库版本: {websockets_version}")

        try:
            # 尝试使用extra_headers参数
            return websockets.connect(
                self.base_url,
                extra_headers=headers
            )
        except Exception as e:
            # 捕获所有异常类型，不仅仅是TypeError
            error_msg = self._safe_str(e)
            logger.warning(f"extra_headers参数失败: {error_msg}")

            if "extra_headers" in error_msg or "unexpected keyword argument" in error_msg:
                logger.warning("websockets库不支持extra_headers参数，尝试additional_headers")
                # 使用additional_headers参数（较新版本）
                try:
                    return websockets.connect(
                        self.base_url,
                        additional_headers=headers
                    )
                except Exception as e2:
                    error_msg2 = self._safe_str(e2)
                    logger.warning(f"additional_headers参数失败: {error_msg2}")

                    if "additional_headers" in error_msg2 or "unexpected keyword argument" in error_msg2:
                        # 如果都不支持，则不传递headers
                        logger.warning("websockets库不支持headers参数，使用基础连接模式")
                        return websockets.connect(self.base_url)
                    else:
                        raise e2
            else:
                raise e

    async def _handle_websocket_connection(self, websocket, toid, item_id, text):
        """处理WebSocket连接的具体逻辑"""
        await self.init(websocket)
        await self.create_chat(websocket, toid, item_id)
        async for message in websocket:
            try:
                logger.info(f"【{self.cookie_id}】message: {message}")
                message = json.loads(message)
                cid = message["body"]["singleChatConversation"]["cid"]
                cid = cid.split('@')[0]
                await self.send_msg(websocket, cid, toid, text)
                logger.info(f'【{self.cookie_id}】send message')
                return
            except Exception as e:
                pass

    def is_chat_message(self, message):
        """判断是否为用户聊天消息"""
        try:
            return (
                isinstance(message, dict)
                and "1" in message
                and isinstance(message["1"], dict)
                and "10" in message["1"]
                and isinstance(message["1"]["10"], dict)
                and "reminderContent" in message["1"]["10"]
            )
        except Exception:
            return False

    def is_sync_package(self, message_data):
        """判断是否为同步包消息"""
        try:
            return (
                isinstance(message_data, dict)
                and "body" in message_data
                and "syncPushPackage" in message_data["body"]
                and "data" in message_data["body"]["syncPushPackage"]
                and len(message_data["body"]["syncPushPackage"]["data"]) > 0
            )
        except Exception:
            return False

    async def create_session(self):
        """创建aiohttp session"""
        if not self.session:
            # 创建带有cookies和headers的session
            headers = DEFAULT_HEADERS.copy()
            headers['cookie'] = self.cookies_str

            self.session = aiohttp.ClientSession(
                headers=headers,
                timeout=aiohttp.ClientTimeout(total=30)
            )

    async def close_session(self):
        """关闭aiohttp session"""
        if self.session:
            await self.session.close()
            self.session = None

    async def get_api_reply(self, msg_time, user_url, send_user_id, send_user_name, item_id, send_message, chat_id):
        """调用API获取回复消息"""
        try:
            if not self.session:
                await self.create_session()

            api_config = AUTO_REPLY.get('api', {})
            timeout = aiohttp.ClientTimeout(total=api_config.get('timeout', 10))

            payload = {
                "cookie_id": self.cookie_id,
                "msg_time": msg_time,
                "user_url": user_url,
                "send_user_id": send_user_id,
                "send_user_name": send_user_name,
                "item_id": item_id,
                "send_message": send_message,
                "chat_id": chat_id
            }

            async with self.session.post(
                api_config.get('url', 'http://localhost:8080/xianyu/reply'),
                json=payload,
                timeout=timeout
            ) as response:
                result = await response.json()

                # 将code转换为字符串进行比较，或者直接用数字比较
                if str(result.get('code')) == '200' or result.get('code') == 200:
                    send_msg = result.get('data', {}).get('send_msg')
                    if send_msg:
                        # 格式化消息中的占位符
                        return send_msg.format(
                            send_user_id=payload['send_user_id'],
                            send_user_name=payload['send_user_name'],
                            send_message=payload['send_message']
                        )
                    else:
                        logger.warning("API返回成功但无回复消息")
                        return None
                else:
                    logger.warning(f"API返回错误: {result.get('msg', '未知错误')}")
                    return None

        except asyncio.TimeoutError:
            logger.error("API调用超时")
            return None
        except Exception as e:
            logger.error(f"调用API出错: {self._safe_str(e)}")
            return None

    async def _handle_message_with_semaphore(self, message_data, websocket):
        """带信号量的消息处理包装器，防止并发任务过多"""
        async with self.message_semaphore:
            self.active_message_tasks += 1
            try:
                await self.handle_message(message_data, websocket)
            finally:
                self.active_message_tasks -= 1
                # 定期记录活跃任务数（每100个任务记录一次）
                if self.active_message_tasks % 100 == 0 and self.active_message_tasks > 0:
                    logger.info(f"【{self.cookie_id}】当前活跃消息处理任务数: {self.active_message_tasks}")

    def _extract_message_id(self, message_data: dict) -> str:
        """
        从消息数据中提取消息ID，用于去重
        
        Args:
            message_data: 原始消息数据
            
        Returns:
            消息ID字符串，如果无法提取则返回None
        """
        try:
            # 尝试从 message['1']['10']['bizTag'] 中提取 messageId
            if isinstance(message_data, dict) and "1" in message_data:
                message_1 = message_data.get("1")
                if isinstance(message_1, dict) and "10" in message_1:
                    message_10 = message_1.get("10")
                    if isinstance(message_10, dict) and "bizTag" in message_10:
                        biz_tag = message_10.get("bizTag", "")
                        if isinstance(biz_tag, str):
                            # bizTag 是 JSON 字符串，格式如: '{"sourceId":"S:1","messageId":"984f323c719d4cd0a7b993a0769a33b6"}'
                            try:
                                import json
                                biz_tag_dict = json.loads(biz_tag)
                                if isinstance(biz_tag_dict, dict) and "messageId" in biz_tag_dict:
                                    return biz_tag_dict.get("messageId")
                            except (json.JSONDecodeError, TypeError):
                                pass
                        
                        # 如果 bizTag 解析失败，尝试从 extJson 中提取
                        if "extJson" in message_10:
                            ext_json = message_10.get("extJson", "")
                            if isinstance(ext_json, str):
                                try:
                                    import json
                                    ext_json_dict = json.loads(ext_json)
                                    if isinstance(ext_json_dict, dict) and "messageId" in ext_json_dict:
                                        return ext_json_dict.get("messageId")
                                except (json.JSONDecodeError, TypeError):
                                    pass
        except Exception as e:
            logger.debug(f"【{self.cookie_id}】提取消息ID失败: {self._safe_str(e)}")
        
        return None

    async def _schedule_debounced_reply(self, chat_id: str, message_data: dict, websocket, 
                                       send_user_name: str, send_user_id: str, send_message: str,
                                       item_id: str, msg_time: str):
        """
        调度防抖回复：如果用户连续发送消息，等待用户停止发送后再回复最后一条消息
        
        Args:
            chat_id: 聊天ID
            message_data: 原始消息数据
            websocket: WebSocket连接
            send_user_name: 发送者用户名
            send_user_id: 发送者用户ID
            send_message: 消息内容
            item_id: 商品ID
            msg_time: 消息时间
        """
        # 提取消息ID并检查是否已处理
        message_id = self._extract_message_id(message_data)
        # 如果没有 messageId，使用备用标识（chat_id + send_message + 时间戳）
        if not message_id:
            try:
                # 尝试从消息数据中提取时间戳
                create_time = 0
                if isinstance(message_data, dict) and "1" in message_data:
                    message_1 = message_data.get("1")
                    if isinstance(message_1, dict):
                        create_time = message_1.get("5", 0)
                # 使用组合键作为备用标识
                message_id = f"{chat_id}_{send_message}_{create_time}"
            except Exception:
                # 如果提取失败，使用当前时间戳
                message_id = f"{chat_id}_{send_message}_{int(time.time() * 1000)}"
        
        async with self.processed_message_ids_lock:
            current_time = time.time()
            
            # 检查消息是否已处理且未过期
            if message_id in self.processed_message_ids:
                last_process_time = self.processed_message_ids[message_id]
                time_elapsed = current_time - last_process_time
                
                # 如果消息处理时间未超过1小时，跳过
                if time_elapsed < self.message_expire_time:
                    remaining_time = int(self.message_expire_time - time_elapsed)
                    logger.warning(f"【{self.cookie_id}】消息ID {message_id[:50]}... 已处理过，距离可重复回复还需 {remaining_time} 秒")
                    return
                else:
                    # 超过1小时，可以重新处理
                    logger.info(f"【{self.cookie_id}】消息ID {message_id[:50]}... 已超过 {int(time_elapsed/60)} 分钟，允许重新回复")
            
            # 标记消息ID为已处理（更新或添加时间戳）
            self.processed_message_ids[message_id] = current_time
            
            # 定期清理过期的消息ID
            if len(self.processed_message_ids) > self.processed_message_ids_max_size:
                # 清理超过1小时的旧记录
                expired_ids = [
                    msg_id for msg_id, timestamp in self.processed_message_ids.items()
                    if current_time - timestamp > self.message_expire_time
                ]
                
                for msg_id in expired_ids:
                    del self.processed_message_ids[msg_id]
                
                logger.info(f"【{self.cookie_id}】已清理 {len(expired_ids)} 个过期消息ID")
                
                # 如果清理后仍然过大，删除最旧的一半
                if len(self.processed_message_ids) > self.processed_message_ids_max_size:
                    sorted_ids = sorted(self.processed_message_ids.items(), key=lambda x: x[1])
                    remove_count = len(sorted_ids) // 2
                    for msg_id, _ in sorted_ids[:remove_count]:
                        del self.processed_message_ids[msg_id]
                    logger.info(f"【{self.cookie_id}】消息ID去重字典过大，已清理 {remove_count} 个最旧记录")
        
        async with self.message_debounce_lock:
            # 如果该chat_id已有防抖任务，取消它
            if chat_id in self.message_debounce_tasks:
                old_task = self.message_debounce_tasks[chat_id].get('task')
                if old_task and not old_task.done():
                    old_task.cancel()
                    logger.warning(f"【{self.cookie_id}】取消chat_id {chat_id} 的旧防抖任务")
            
            # 更新最后一条消息信息
            current_timer = time.time()
            self.message_debounce_tasks[chat_id] = {
                'last_message': {
                    'message_data': message_data,
                    'websocket': websocket,
                    'send_user_name': send_user_name,
                    'send_user_id': send_user_id,
                    'send_message': send_message,
                    'item_id': item_id,
                    'msg_time': msg_time
                },
                'timer': current_timer
            }
            
            # 创建新的防抖任务
            async def debounce_task():
                saved_timer = current_timer  # 保存创建任务时的时间戳
                try:
                    # 等待防抖延迟时间
                    await asyncio.sleep(self.message_debounce_delay)
                    
                    # 检查是否仍然是最新的消息（防止在等待期间有新消息）
                    async with self.message_debounce_lock:
                        if chat_id not in self.message_debounce_tasks:
                            return
                        
                        debounce_info = self.message_debounce_tasks[chat_id]
                        # 检查时间戳是否匹配（确保这是最新的消息）
                        if saved_timer != debounce_info['timer']:
                            logger.warning(f"【{self.cookie_id}】chat_id {chat_id} 在防抖期间有新消息，跳过旧消息处理")
                            return
                        
                        # 获取最后一条消息
                        last_msg = debounce_info['last_message']
                        
                        # 从防抖任务中移除
                        del self.message_debounce_tasks[chat_id]
                    
                    # 处理最后一条消息
                    logger.info(f"【{self.cookie_id}】防抖延迟结束，开始处理chat_id {chat_id} 的最后一条消息: {last_msg['send_message'][:30]}...")
                    await self._process_chat_message_reply(
                        last_msg['message_data'],
                        last_msg['websocket'],
                        last_msg['send_user_name'],
                        last_msg['send_user_id'],
                        last_msg['send_message'],
                        last_msg['item_id'],
                        chat_id,
                        last_msg['msg_time']
                    )
                    
                except asyncio.CancelledError:
                    logger.warning(f"【{self.cookie_id}】chat_id {chat_id} 的防抖任务被取消")
                except Exception as e:
                    logger.error(f"【{self.cookie_id}】处理防抖回复时发生错误: {self._safe_str(e)}")
                    # 确保从防抖任务中移除
                    async with self.message_debounce_lock:
                        if chat_id in self.message_debounce_tasks:
                            del self.message_debounce_tasks[chat_id]
            
            task = self._create_tracked_task(debounce_task())
            self.message_debounce_tasks[chat_id]['task'] = task
            logger.warning(f"【{self.cookie_id}】为chat_id {chat_id} 创建防抖任务，延迟 {self.message_debounce_delay} 秒")

    async def _process_chat_message_reply(self, message_data: dict, websocket, send_user_name: str,
                                         send_user_id: str, send_message: str, item_id: str,
                                         chat_id: str, msg_time: str):
        """
        处理聊天消息的回复逻辑（从handle_message中提取出来的核心回复逻辑）
        
        Args:
            message_data: 原始消息数据
            websocket: WebSocket连接
            send_user_name: 发送者用户名
            send_user_id: 发送者用户ID
            send_message: 消息内容
            item_id: 商品ID
            chat_id: 聊天ID
            msg_time: 消息时间
        """
        try:
            # 自动回复消息
            if not AUTO_REPLY.get('enabled', True):
                logger.info(f"[{msg_time}] 【{self.cookie_id}】【系统】自动回复已禁用")
                return

            # 检查该chat_id是否处于暂停状态
            if pause_manager.is_chat_paused(chat_id):
                remaining_time = pause_manager.get_remaining_pause_time(chat_id)
                remaining_minutes = remaining_time // 60
                remaining_seconds = remaining_time % 60
                logger.info(f"[{msg_time}] 【{self.cookie_id}】【系统】chat_id {chat_id} 自动回复已暂停，剩余时间: {remaining_minutes}分{remaining_seconds}秒")
                return

            # 构造用户URL
            user_url = f'https://www.goofish.com/personal?userId={send_user_id}'

            reply = None
            # 判断是否启用API回复
            if AUTO_REPLY.get('api', {}).get('enabled', False):
                reply = await self.get_api_reply(
                    msg_time, user_url, send_user_id, send_user_name,
                    item_id, send_message, chat_id
                )
                if not reply:
                    logger.error(f"[{msg_time}] 【API调用失败】用户: {send_user_name} (ID: {send_user_id}), 商品({item_id}): {send_message}")

            # 记录回复来源
            reply_source = 'API'  # 默认假设是API回复

            # 如果API回复失败或未启用API，按新的优先级顺序处理
            if not reply:
                # 1. 首先尝试关键词匹配（传入商品ID）
                reply = await self.get_keyword_reply(send_user_name, send_user_id, send_message, item_id)
                if reply == "EMPTY_REPLY":
                    # 匹配到关键词但回复内容为空，不进行任何回复
                    logger.info(f"[{msg_time}] 【{self.cookie_id}】匹配到空回复关键词，跳过自动回复")
                    return
                elif reply:
                    reply_source = '关键词'  # 标记为关键词回复
                else:
                    # 2. 关键词匹配失败，如果AI开关打开，尝试AI回复
                    reply = await self.get_ai_reply(send_user_name, send_user_id, send_message, item_id, chat_id)
                    if reply:
                        reply_source = 'AI'  # 标记为AI回复
                    else:
                        # 3. 最后使用默认回复
                        default_reply_result = await self.get_default_reply(send_user_name, send_user_id, send_message, chat_id, item_id)
                        if default_reply_result == "EMPTY_REPLY":
                            # 默认回复内容为空，不进行任何回复
                            logger.info(f"[{msg_time}] 【{self.cookie_id}】默认回复内容为空，跳过自动回复")
                            return
                        
                        # 处理默认回复（可能包含图片和文字）
                        if default_reply_result and isinstance(default_reply_result, dict):
                            reply_source = '默认'  # 标记为默认回复
                            default_image_url = default_reply_result.get('image_url')
                            default_text = default_reply_result.get('text')
                            
                            # 如果存在图片，先发送图片
                            if default_image_url:
                                try:
                                    # 处理图片URL（上传到CDN如果需要）
                                    final_image_url = default_image_url
                                    image_width, image_height = 800, 600  # 默认尺寸
                                    
                                    if self._is_cdn_url(default_image_url):
                                        # 已经是CDN链接，获取真实尺寸
                                        logger.info(f"【{self.cookie_id}】默认回复使用CDN图片: {default_image_url}")
                                        width, height = await self._get_image_size_from_url(default_image_url)
                                        if width and height:
                                            image_width, image_height = width, height
                                    elif default_image_url.startswith('/static/uploads/') or default_image_url.startswith('static/uploads/'):
                                        # 本地图片，需要上传到闲鱼CDN
                                        local_image_path = default_image_url.replace('/static/uploads/', 'static/uploads/')
                                        if os.path.exists(local_image_path):
                                            logger.info(f"【{self.cookie_id}】准备上传默认回复本地图片到闲鱼CDN: {local_image_path}")
                                            
                                            from utils.image_uploader import ImageUploader
                                            uploader = ImageUploader(self.cookies_str)
                                            
                                            async with uploader:
                                                cdn_url = await uploader.upload_image(local_image_path)
                                                if cdn_url:
                                                    logger.info(f"【{self.cookie_id}】默认回复图片上传成功，CDN URL: {cdn_url}")
                                                    final_image_url = cdn_url
                                                    
                                                    # 更新数据库中的图片URL为CDN URL
                                                    await self._update_default_reply_image_url(cdn_url)
                                                    
                                                    # 获取实际图片尺寸
                                                    from utils.image_utils import image_manager
                                                    try:
                                                        actual_width, actual_height = image_manager.get_image_size(local_image_path)
                                                        if actual_width and actual_height:
                                                            image_width, image_height = actual_width, actual_height
                                                    except Exception as e:
                                                        logger.warning(f"【{self.cookie_id}】获取图片尺寸失败，使用默认尺寸: {e}")
                                                else:
                                                    logger.error(f"【{self.cookie_id}】默认回复图片上传失败: {local_image_path}")
                                                    final_image_url = None
                                        else:
                                            logger.error(f"【{self.cookie_id}】默认回复本地图片文件不存在: {local_image_path}")
                                            final_image_url = None
                                    else:
                                        # 其他类型的URL，获取真实尺寸
                                        width, height = await self._get_image_size_from_url(default_image_url)
                                        if width and height:
                                            image_width, image_height = width, height
                                    
                                    # 发送图片
                                    if final_image_url:
                                        await self.send_image_msg(websocket, chat_id, send_user_id, final_image_url, image_width, image_height)
                                        msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                                        logger.info(f"[{msg_time}] 【{reply_source}图片发出】用户: {send_user_name} (ID: {send_user_id}), 商品({item_id}): 图片 {final_image_url}")
                                except Exception as e:
                                    logger.error(f"【{self.cookie_id}】默认回复图片发送失败: {self._safe_str(e)}")
                            
                            # 然后发送文字（如果有）
                            if default_text and default_text.strip():
                                reply = default_text
                            else:
                                # 只有图片没有文字，已经发送完毕
                                if default_image_url:
                                    return
                                reply = None
                        else:
                            reply = None

            # 注意：这里只有商品ID，没有标题和详情，根据新的规则不保存到数据库
            # 商品信息会在其他有完整信息的地方保存（如发货规则匹配时）
            # 消息通知已在收到消息时立即发送，此处不再重复发送

            # 如果有回复内容，发送消息
            if reply:
                # 检查是否是图片发送标记
                if reply.startswith("__IMAGE_SEND__"):
                    # 提取图片URL（关键词回复不包含卡券ID）
                    image_url = reply.replace("__IMAGE_SEND__", "")
                    # 发送图片消息
                    try:
                        await self.send_image_msg(websocket, chat_id, send_user_id, image_url)
                        # 记录发出的图片消息
                        msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                        logger.info(f"[{msg_time}] 【{reply_source}图片发出】用户: {send_user_name} (ID: {send_user_id}), 商品({item_id}): 图片 {image_url}")
                    except Exception as e:
                        # 图片发送失败，发送错误提示
                        logger.error(f"图片发送失败: {self._safe_str(e)}")
                        await self.send_msg(websocket, chat_id, send_user_id, "抱歉，图片发送失败，请稍后重试。")
                        msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                        logger.error(f"[{msg_time}] 【{reply_source}图片发送失败】用户: {send_user_name} (ID: {send_user_id}), 商品({item_id})")
                else:
                    # 普通文本消息
                    await self.send_msg(websocket, chat_id, send_user_id, reply)
                    # 记录发出的消息
                    msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                    logger.info(f"[{msg_time}] 【{reply_source}发出】用户: {send_user_name} (ID: {send_user_id}), 商品({item_id}): {reply}")
            else:
                msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                logger.info(f"[{msg_time}] 【{self.cookie_id}】【系统】未找到匹配的回复规则，不回复")
        except Exception as e:
            logger.error(f"处理聊天消息回复时发生错误: {self._safe_str(e)}")

    async def handle_message(self, message_data, websocket):
        """处理所有类型的消息"""
        try:
            # 检查账号是否启用
            from cookie_manager import manager as cookie_manager
            if cookie_manager and not cookie_manager.get_cookie_status(self.cookie_id):
                logger.warning(f"【{self.cookie_id}】账号已禁用，跳过消息处理")
                return

            # 发送确认消息
            try:
                message = message_data
                ack = {
                    "code": 200,
                    "headers": {
                        "mid": message["headers"]["mid"] if "mid" in message["headers"] else generate_mid(),
                        "sid": message["headers"]["sid"] if "sid" in message["headers"] else '',
                    }
                }
                if 'app-key' in message["headers"]:
                    ack["headers"]["app-key"] = message["headers"]["app-key"]
                if 'ua' in message["headers"]:
                    ack["headers"]["ua"] = message["headers"]["ua"]
                if 'dt' in message["headers"]:
                    ack["headers"]["dt"] = message["headers"]["dt"]
                await websocket.send(json.dumps(ack))
            except Exception as e:
                pass

            # 如果不是同步包消息，直接返回
            if not self.is_sync_package(message_data):
                # 添加调试日志，记录非同步包消息
                logger.debug(f"【{self.cookie_id}】非同步包消息，跳过处理")
                return

            # 获取并解密数据
            sync_data = message_data["body"]["syncPushPackage"]["data"][0]

            # 检查是否有必要的字段
            if "data" not in sync_data:
                logger.warning("同步包中无data字段")
                return

            # 解密数据
            message = None
            try:
                data = sync_data["data"]
                try:
                    data = base64.b64decode(data).decode("utf-8")
                    parsed_data = json.loads(data)
                    # 处理未加密的消息（如系统提示等）
                    msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                    if isinstance(parsed_data, dict) and 'chatType' in parsed_data:
                        if 'operation' in parsed_data and 'content' in parsed_data['operation']:
                            content = parsed_data['operation']['content']
                            if 'sessionArouse' in content:
                                # 处理系统引导消息
                                logger.info(f"[{msg_time}] 【{self.cookie_id}】【系统】小闲鱼智能提示:")
                                if 'arouseChatScriptInfo' in content['sessionArouse']:
                                    for qa in content['sessionArouse']['arouseChatScriptInfo']:
                                        logger.info(f"  - {qa['chatScrip']}")
                            elif 'contentType' in content:
                                # 其他类型的未加密消息
                                logger.warning(f"[{msg_time}] 【{self.cookie_id}】【系统】其他类型消息: {content}")
                        return
                    else:
                        # 如果不是系统消息，将解析的数据作为message
                        message = parsed_data
                except Exception as e:
                    # 如果JSON解析失败，尝试解密
                    decrypted_data = decrypt(data)
                    message = json.loads(decrypted_data)
            except Exception as e:
                logger.error(f"消息解密失败: {self._safe_str(e)}")
                return

            # 确保message不为空
            if message is None:
                logger.error("消息解析后为空")
                return

            # 确保message是字典类型
            if not isinstance(message, dict):
                logger.error(f"消息格式错误，期望字典但得到: {type(message)}")
                logger.warning(f"消息内容: {message}")
                return

            # 【消息接收标识】记录收到消息的时间，用于控制Cookie刷新
            self.last_message_received_time = time.time()
            logger.warning(f"【{self.cookie_id}】收到消息，更新消息接收时间标识")

            # 【优先处理】尝试获取订单ID并获取订单详情
            order_id = None
            try:
                order_id = self._extract_order_id(message)
                if order_id:
                    msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
                    logger.info(f'[{msg_time}] 【{self.cookie_id}】✅ 检测到订单ID: {order_id}，开始获取订单详情')

                    # 通知订单状态处理器订单ID已提取
                    if self.order_status_handler:
                        logger.info(f"【{self.cookie_id}】准备调用订单状态处理器.on_order_id_extracted: {order_id}")
                        try:
                            self.order_status_handler.on_order_id_extracted(order_id, self.cookie_id, message)
                            logger.info(f"【{self.cookie_id}】订单状态处理器.on_order_id_extracted调用成功: {order_id}")
                        except Exception as e:
                            logger.error(f"【{self.cookie_id}】通知订单状态处理器订单ID提取失败: {self._safe_str(e)}")
                            import traceback
                            logger.error(f"【{self.cookie_id}】详细错误信息: {traceback.format_exc()}")
                    else:
                        logger.warning(f"【{self.cookie_id}】订单状态处理器为None，跳过订单ID提取通知: {order_id}")

                    # 立即获取订单详情信息
                    try:
                        # 先尝试提取用户ID和商品ID用于订单详情获取
                        temp_user_id = None
                        temp_item_id = None

                        # 提取用户ID
                        try:
                            message_1 = message.get("1")
                            if isinstance(message_1, str) and '@' in message_1:
                                temp_user_id = message_1.split('@')[0]
                            elif isinstance(message_1, dict):
                                # 从字典中提取用户ID
                                if "10" in message_1 and isinstance(message_1["10"], dict):
                                    temp_user_id = message_1["10"].get("senderUserId", "unknown_user")
                                else:
                                    temp_user_id = "unknown_user"
                            else:
                                temp_user_id = "unknown_user"
                        except:
                            temp_user_id = "unknown_user"

                        # 提取商品ID
                        try:
                            if "1" in message and isinstance(message["1"], dict) and "10" in message["1"] and isinstance(message["1"]["10"], dict):
                                url_info = message["1"]["10"].get("reminderUrl", "")
                                if isinstance(url_info, str) and "itemId=" in url_info:
                                    temp_item_id = url_info.split("itemId=")[1].split("&")[0]

                            if not temp_item_id:
                                temp_item_id = self.extract_item_id_from_message(message)
                        except:
                            pass

                        # 调用订单详情获取方法
                        order_detail = await self.fetch_order_detail_info(order_id, temp_item_id, temp_user_id)
                        if order_detail:
                            logger.info(f'[{msg_time}] 【{self.cookie_id}】✅ 订单详情获取成功: {order_id}')
                        else:
                            logger.warning(f'[{msg_time}] 【{self.cookie_id}】⚠️ 订单详情获取失败: {order_id}')

                    except Exception as detail_e:
                        logger.error(f'[{msg_time}] 【{self.cookie_id}】❌ 获取订单详情异常: {self._safe_str(detail_e)}')
                else:
                    logger.warning(f"【{self.cookie_id}】未检测到订单ID")
            except Exception as e:
                logger.error(f"【{self.cookie_id}】提取订单ID失败: {self._safe_str(e)}")

            # 安全地获取用户ID
            user_id = None
            try:
                message_1 = message.get("1")
                if isinstance(message_1, str) and '@' in message_1:
                    user_id = message_1.split('@')[0]
                elif isinstance(message_1, dict):
                    # 如果message['1']是字典，从message["1"]["10"]["senderUserId"]中提取user_id
                    if "10" in message_1 and isinstance(message_1["10"], dict):
                        user_id = message_1["10"].get("senderUserId", "unknown_user")
                    else:
                        user_id = "unknown_user"
                else:
                    user_id = "unknown_user"
            except Exception as e:
                logger.warning(f"提取用户ID失败: {self._safe_str(e)}")
                user_id = "unknown_user"



            # 安全地提取商品ID
            item_id = None
            try:
                if "1" in message and isinstance(message["1"], dict) and "10" in message["1"] and isinstance(message["1"]["10"], dict):
                    url_info = message["1"]["10"].get("reminderUrl", "")
                    if isinstance(url_info, str) and "itemId=" in url_info:
                        item_id = url_info.split("itemId=")[1].split("&")[0]

                # 如果没有提取到，使用辅助方法
                if not item_id:
                    item_id = self.extract_item_id_from_message(message)

                if not item_id:
                    item_id = f"auto_{user_id}_{int(time.time())}"
                    logger.warning(f"无法提取商品ID，使用默认值: {item_id}")

            except Exception as e:
                logger.error(f"提取商品ID时发生错误: {self._safe_str(e)}")
                item_id = f"auto_{user_id}_{int(time.time())}"
            # 处理订单状态消息
            try:
                logger.info(f"【{self.cookie_id}】🔍 完整消息结构: {message}")
                msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())

                # 安全地检查订单状态
                red_reminder = None
                if isinstance(message, dict) and "3" in message and isinstance(message["3"], dict):
                    red_reminder = message["3"].get("redReminder")

                if red_reminder == '等待买家付款':
                    user_url = f'https://www.goofish.com/personal?userId={user_id}'
                    logger.info(f'[{msg_time}] 【系统】等待买家 {user_url} 付款')
                    return
                elif red_reminder == '交易关闭':
                    user_url = f'https://www.goofish.com/personal?userId={user_id}'
                    logger.info(f'[{msg_time}] 【系统】买家 {user_url} 交易关闭')
                    return
                elif red_reminder == '等待卖家发货':
                    user_url = f'https://www.goofish.com/personal?userId={user_id}'
                    logger.info(f'[{msg_time}] 【系统】交易成功 {user_url} 等待卖家发货')
                    # return
            except:
                pass

            # 判断是否为聊天消息
            if not self.is_chat_message(message):
                logger.warning("非聊天消息")
                return

            # 处理聊天消息
            try:
                # 安全地提取聊天消息信息
                if not (isinstance(message, dict) and "1" in message and isinstance(message["1"], dict)):
                    logger.error("消息格式错误：缺少必要的字段结构")
                    return

                message_1 = message["1"]
                if not isinstance(message_1.get("10"), dict):
                    logger.error("消息格式错误：缺少消息详情字段")
                    return

                create_time = int(message_1.get("5", 0))
                message_10 = message_1["10"]
                send_user_name = message_10.get("senderNick", message_10.get("reminderTitle", "未知用户"))
                send_user_id = message_10.get("senderUserId", "unknown")
                send_message = message_10.get("reminderContent", "")

                chat_id_raw = message_1.get("2", "")
                chat_id = chat_id_raw.split('@')[0] if '@' in str(chat_id_raw) else str(chat_id_raw)

            except Exception as e:
                logger.error(f"提取聊天消息信息失败: {self._safe_str(e)}")
                return

            # 格式化消息时间
            msg_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(create_time/1000))



            # 判断消息方向
            if send_user_id == self.myid:
                logger.info(f"[{msg_time}] 【手动发出】 商品({item_id}): {send_message}")

                # 暂停该chat_id的自动回复10分钟
                pause_manager.pause_chat(chat_id, self.cookie_id)

                return
            else:
                logger.info(f"[{msg_time}] 【收到】用户: {send_user_name} (ID: {send_user_id}), 商品({item_id}): {send_message}")

                # 🔔 立即发送消息通知（独立于自动回复功能）
                # 检查是否为群组消息，如果是群组消息则跳过通知
                try:
                    session_type = message_10.get("sessionType", "1")  # 默认为个人消息类型
                    if session_type == "30":
                        logger.info(f"📱 检测到群组消息（sessionType=30），跳过消息通知")
                    else:
                        # 只对个人消息发送通知
                        await self.send_notification(send_user_name, send_user_id, send_message, item_id, chat_id)
                except Exception as notify_error:
                    logger.error(f"📱 发送消息通知失败: {self._safe_str(notify_error)}")




            # 【优先处理】使用订单状态处理器处理系统消息
            if self.order_status_handler:
                try:
                    # 处理系统消息的订单状态更新
                    try:
                        handled = self.order_status_handler.handle_system_message(
                            message=message,
                            send_message=send_message,
                            cookie_id=self.cookie_id,
                            msg_time=msg_time
                        )
                    except Exception as e:
                        logger.error(f"【{self.cookie_id}】处理系统消息失败: {self._safe_str(e)}")
                        handled = False
                    
                    # 处理红色提醒消息
                    if not handled:
                        try:
                            if isinstance(message, dict) and "3" in message and isinstance(message["3"], dict):
                                red_reminder = message["3"].get("redReminder")
                                user_id = message["3"].get("userId", "unknown")
                                
                                if red_reminder:
                                    try:
                                        self.order_status_handler.handle_red_reminder_message(
                                            message=message,
                                            red_reminder=red_reminder,
                                            user_id=user_id,
                                            cookie_id=self.cookie_id,
                                            msg_time=msg_time
                                        )
                                    except Exception as e:
                                        logger.error(f"【{self.cookie_id}】处理红色提醒消息失败: {self._safe_str(e)}")
                        except Exception as red_e:
                            logger.warning(f"处理红色提醒消息失败: {self._safe_str(red_e)}")
                            
                except Exception as e:
                    logger.error(f"订单状态处理失败: {self._safe_str(e)}")

            # 【优先处理】检查系统消息和自动发货触发消息（不受人工接入暂停影响）
            if send_message == '[我已拍下，待付款]':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】系统消息不处理')
                return
            elif send_message == '[你关闭了订单，钱款已原路退返]':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】系统消息不处理')
                return
            elif send_message == '[不想宝贝被砍价?设置不砍价回复  ]':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】系统提示信息不处理')
                return 
            elif send_message == 'AI正在帮你回复消息，不错过每笔订单':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】系统提示信息不处理')
                return 
            elif send_message == '发来一条消息':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】系统通知消息不处理')
                return
            elif send_message == '发来一条新消息':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】系统通知消息不处理')
                return
            elif send_message == '[买家确认收货，交易成功]':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】交易完成消息不处理')
                return
            elif send_message == '快给ta一个评价吧~' or send_message == '快给ta一个评价吧～':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】评价提醒消息不处理')
                return
            elif send_message == '卖家人不错？送Ta闲鱼小红花':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】小红花提醒消息不处理')
                return
            elif send_message == '[你已确认收货，交易成功]':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】买家确认收货消息不处理')
                return
            elif send_message == '[你已发货]':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】发货确认消息不处理')
                return
            elif send_message == '已发货':
                logger.info(f'[{msg_time}] 【{self.cookie_id}】发货确认消息不处理')
                return
            # 【重要】检查是否为自动发货触发消息 - 即使在人工接入暂停期间也要处理
            elif self._is_auto_delivery_trigger(send_message):
                logger.info(f'[{msg_time}] 【{self.cookie_id}】检测到自动发货触发消息，即使在暂停期间也继续处理: {send_message}')
                # 使用统一的自动发货处理方法
                await self._handle_auto_delivery(websocket, message, send_user_name, send_user_id,
                                               item_id, chat_id, msg_time)
                return
            # 【重要】检查是否为"我已小刀，待刀成"卡片消息 - 即使在人工接入暂停期间也要处理
            elif send_message == '[卡片消息]':
                # 检查是否为"我已小刀，待刀成"的卡片消息
                try:
                    # 从消息中提取卡片内容
                    card_title = None
                    if isinstance(message, dict) and "1" in message and isinstance(message["1"], dict):
                        message_1 = message["1"]
                        if "6" in message_1 and isinstance(message_1["6"], dict):
                            message_6 = message_1["6"]
                            if "3" in message_6 and isinstance(message_6["3"], dict):
                                message_6_3 = message_6["3"]
                                if "5" in message_6_3:
                                    # 解析JSON内容
                                    try:
                                        card_content = json.loads(message_6_3["5"])
                                        if "dxCard" in card_content and "item" in card_content["dxCard"]:
                                            card_item = card_content["dxCard"]["item"]
                                            if "main" in card_item and "exContent" in card_item["main"]:
                                                ex_content = card_item["main"]["exContent"]
                                                card_title = ex_content.get("title", "")
                                    except (json.JSONDecodeError, KeyError) as e:
                                        logger.warning(f"解析卡片消息失败: {e}")

                    # 检查是否为"我已小刀，待刀成"
                    if card_title == "我已小刀，待刀成":
                        logger.info(f'[{msg_time}] 【{self.cookie_id}】【系统】检测到"我已小刀，待刀成"，即使在暂停期间也继续处理')

                        # 检查商品是否属于当前cookies
                        if item_id and item_id != "未知商品":
                            try:
                                from db_manager import db_manager
                                item_info = db_manager.get_item_info(self.cookie_id, item_id)
                                if not item_info:
                                    logger.warning(f'[{msg_time}] 【{self.cookie_id}】❌ 商品 {item_id} 不属于当前账号，跳过免拼发货')
                                    return
                                logger.warning(f'[{msg_time}] 【{self.cookie_id}】✅ 商品 {item_id} 归属验证通过')
                            except Exception as e:
                                logger.error(f'[{msg_time}] 【{self.cookie_id}】检查商品归属失败: {self._safe_str(e)}，跳过免拼发货')
                                return

                        # 提取订单ID
                        order_id = self._extract_order_id(message)
                        if not order_id:
                            logger.warning(f'[{msg_time}] 【{self.cookie_id}】❌ 未能提取到订单ID，无法执行免拼发货')
                            return

                        # 更新订单的is_bargain字段为True（标记为小刀订单）
                        try:
                            from db_manager import db_manager
                            db_manager.insert_or_update_order(
                                order_id=order_id,
                                item_id=item_id,
                                buyer_id=send_user_id,
                                cookie_id=self.cookie_id,
                                is_bargain=True
                            )
                            logger.info(f'[{msg_time}] 【{self.cookie_id}】✅ 订单 {order_id} 已标记为小刀订单')
                        except Exception as e:
                            logger.error(f'[{msg_time}] 【{self.cookie_id}】标记小刀订单失败: {self._safe_str(e)}')

                        # 延迟2秒后执行免拼发货
                        logger.info(f'[{msg_time}] 【{self.cookie_id}】延迟2秒后执行免拼发货...')
                        await asyncio.sleep(2)
                        # 调用自动免拼发货方法
                        result = await self.auto_freeshipping(order_id, item_id, send_user_id)
                        if result.get('success'):
                            logger.info(f'[{msg_time}] 【{self.cookie_id}】✅ 自动免拼发货成功')
                        else:
                            logger.warning(f'[{msg_time}] 【{self.cookie_id}】❌ 自动免拼发货失败: {result.get("error", "未知错误")}')
                        await self._handle_auto_delivery(websocket, message, send_user_name, send_user_id,
                                                       item_id, chat_id, msg_time)
                        return
                    else:
                        logger.info(f'[{msg_time}] 【{self.cookie_id}】收到卡片消息，标题: {card_title or "未知"}')
                        # 如果不是目标卡片消息，继续正常处理流程（会受到暂停影响）

                except Exception as e:
                    logger.error(f"处理卡片消息异常: {self._safe_str(e)}")
                    # 如果处理异常，继续正常处理流程（会受到暂停影响）

            # 使用防抖机制处理聊天消息回复
            # 如果用户连续发送消息，等待用户停止发送后再回复最后一条消息
            await self._schedule_debounced_reply(
                chat_id=chat_id,
                message_data=message_data,
                websocket=websocket,
                send_user_name=send_user_name,
                send_user_id=send_user_id,
                send_message=send_message,
                item_id=item_id,
                msg_time=msg_time
            )

        except Exception as e:
            logger.error(f"处理消息时发生错误: {self._safe_str(e)}")
            logger.warning(f"原始消息: {message_data}")

    async def main(self):
        """主程序入口"""
        try:
            logger.info(f"【{self.cookie_id}】开始启动XianyuLive主程序...")
            await self.create_session()  # 创建session
            logger.info(f"【{self.cookie_id}】Session创建完成，开始WebSocket连接循环...")

            while True:
                try:
                    # 检查账号是否启用
                    from cookie_manager import manager as cookie_manager
                    if cookie_manager and not cookie_manager.get_cookie_status(self.cookie_id):
                        logger.info(f"【{self.cookie_id}】账号已禁用，停止主循环")
                        break

                    headers = WEBSOCKET_HEADERS.copy()
                    headers['Cookie'] = self.cookies_str

                    # 更新连接状态为连接中
                    self._set_connection_state(ConnectionState.CONNECTING, "准备建立WebSocket连接")
                    logger.info(f"【{self.cookie_id}】WebSocket目标地址: {self.base_url}")

                    # 兼容不同版本的websockets库
                    async with await self._create_websocket_connection(headers) as websocket:
                        self.ws = websocket
                        logger.info(f"【{self.cookie_id}】WebSocket连接建立成功，开始初始化...")

                        try:
                            # 开始初始化
                            await self.init(websocket)
                            logger.info(f"【{self.cookie_id}】WebSocket初始化完成！")

                            # 初始化完成后才设置为已连接状态
                            self._set_connection_state(ConnectionState.CONNECTED, "初始化完成，连接就绪")
                            self.connection_failures = 0
                            self.last_successful_connection = time.time()

                            # 记录后台任务启动前的状态
                            logger.warning(f"【{self.cookie_id}】准备启动后台任务 - 当前状态: heartbeat={self.heartbeat_task}, token_refresh={self.token_refresh_task}, cleanup={self.cleanup_task}, cookie_refresh={self.cookie_refresh_task}")
                            
                            # 如果存在心跳任务引用，先清理（心跳任务依赖WebSocket，必须重启）
                            if self.heartbeat_task:
                                logger.warning(f"【{self.cookie_id}】检测到旧心跳任务引用，先清理...")
                                self._reset_background_tasks()

                            # 启动心跳任务（依赖WebSocket，每次重连都需要重启）
                            logger.info(f"【{self.cookie_id}】启动心跳任务...")
                            self.heartbeat_task = asyncio.create_task(self.heartbeat_loop(websocket))

                            # 启动其他后台任务（不依赖WebSocket，只在首次连接时启动）
                            tasks_started = []
                            
                            if not self.token_refresh_task or self.token_refresh_task.done():
                                logger.info(f"【{self.cookie_id}】启动Token刷新任务...")
                                self.token_refresh_task = asyncio.create_task(self.token_refresh_loop())
                                tasks_started.append("Token刷新")
                            else:
                                logger.info(f"【{self.cookie_id}】Token刷新任务已在运行，跳过启动")

                            if not self.cleanup_task or self.cleanup_task.done():
                                logger.info(f"【{self.cookie_id}】启动暂停记录清理任务...")
                                self.cleanup_task = asyncio.create_task(self.pause_cleanup_loop())
                                tasks_started.append("暂停清理")
                            else:
                                logger.info(f"【{self.cookie_id}】暂停记录清理任务已在运行，跳过启动")

                            if not self.cookie_refresh_task or self.cookie_refresh_task.done():
                                logger.info(f"【{self.cookie_id}】启动Cookie刷新任务...")
                                self.cookie_refresh_task = asyncio.create_task(self.cookie_refresh_loop())
                                tasks_started.append("Cookie刷新")
                            else:
                                logger.info(f"【{self.cookie_id}】Cookie刷新任务已在运行，跳过启动")

                            # 记录所有后台任务状态
                            if tasks_started:
                                logger.info(f"【{self.cookie_id}】✅ 新启动的任务: {', '.join(tasks_started)}")
                            logger.info(f"【{self.cookie_id}】✅ 所有后台任务状态: 心跳(已启动), Token刷新({'运行中' if self.token_refresh_task and not self.token_refresh_task.done() else '已启动'}), 暂停清理({'运行中' if self.cleanup_task and not self.cleanup_task.done() else '已启动'}), Cookie刷新({'运行中' if self.cookie_refresh_task and not self.cookie_refresh_task.done() else '已启动'})")
                            
                            logger.info(f"【{self.cookie_id}】开始监听WebSocket消息...")
                            logger.info(f"【{self.cookie_id}】WebSocket连接状态正常，等待服务器消息...")
                            logger.info(f"【{self.cookie_id}】准备进入消息循环...")

                            async for message in websocket:
                                logger.info(f"【{self.cookie_id}】收到WebSocket消息: {len(message) if message else 0} 字节")
                                try:
                                    message_data = json.loads(message)

                                    # 处理心跳响应
                                    if await self.handle_heartbeat_response(message_data):
                                        continue

                                    # 处理其他消息
                                    # 使用追踪的异步任务处理消息，防止阻塞后续消息接收
                                    # 并通过信号量控制并发数量，防止内存泄漏
                                    self._create_tracked_task(self._handle_message_with_semaphore(message_data, websocket))

                                except Exception as e:
                                    logger.error(f"处理消息出错: {self._safe_str(e)}")
                                    continue
                        finally:
                            # 确保在退出 async with 块时清理 WebSocket 引用
                            # 注意：async with 会自动关闭 WebSocket，但我们需要清理引用
                            if self.ws == websocket:
                                self.ws = None
                                logger.info(f"【{self.cookie_id}】WebSocket连接已退出，引用已清理")

                except Exception as e:
                    error_msg = self._safe_str(e)
                    import traceback
                    error_type = type(e).__name__
                    
                    # 检查是否是 ConnectionClosedError（正常的连接关闭）
                    is_connection_closed = (
                        'ConnectionClosedError' in error_type or 
                        'ConnectionClosed' in error_type or
                        'no close frame received or sent' in error_msg or
                        'IncompleteReadError' in error_type
                    )
                    
                    # 对于连接关闭错误，使用警告级别而不是错误级别
                    if is_connection_closed:
                        logger.warning(f"【{self.cookie_id}】WebSocket连接已关闭 ({self.connection_failures + 1}/{self.max_connection_failures})")
                        logger.warning(f"【{self.cookie_id}】关闭原因: {error_msg}")
                    else:
                        self.connection_failures += 1
                    # 更新连接状态为重连中
                    self._set_connection_state(ConnectionState.RECONNECTING, f"第{self.connection_failures}次失败")
                    logger.error(f"【{self.cookie_id}】WebSocket连接异常 ({self.connection_failures}/{self.max_connection_failures})")
                    logger.error(f"【{self.cookie_id}】异常类型: {error_type}")
                    logger.error(f"【{self.cookie_id}】异常信息: {error_msg}")
                    logger.warning(f"【{self.cookie_id}】异常堆栈:\n{traceback.format_exc()}")
                    
                    # 确保清理 WebSocket 引用
                    if self.ws:
                        try:
                            # 检查 WebSocket 是否仍然打开
                            if hasattr(self.ws, 'close_code') and self.ws.close_code is None:
                                # WebSocket 可能仍然打开，尝试关闭
                                try:
                                    await asyncio.wait_for(self.ws.close(), timeout=2.0)
                                except (asyncio.TimeoutError, Exception):
                                    pass
                        except Exception:
                            pass
                        finally:
                            self.ws = None
                            logger.info(f"【{self.cookie_id}】WebSocket引用已清理")
                    
                    # 对于连接关闭错误，也增加失败计数
                    if is_connection_closed:
                        self.connection_failures += 1
                        # 更新连接状态为重连中
                        self._set_connection_state(ConnectionState.RECONNECTING, f"连接关闭，第{self.connection_failures}次重连")

                    # 检查是否超过最大失败次数
                    if self.connection_failures >= self.max_connection_failures:
                        self._set_connection_state(ConnectionState.FAILED, f"连续失败{self.max_connection_failures}次")
                        logger.warning(f"【{self.cookie_id}】连续失败{self.max_connection_failures}次，尝试通过密码登录刷新Cookie...")
                        
                        try:
                            # 调用统一的密码登录刷新方法
                            refresh_success = await self._try_password_login_refresh(f"连续失败{self.max_connection_failures}次")
                            
                            if refresh_success:
                                logger.info(f"【{self.cookie_id}】✅ 密码登录刷新成功，将重置失败计数并继续重连")
                                # 重置失败计数，因为已经刷新了Cookie
                                self.connection_failures = 0
                                # 更新连接状态
                                self._set_connection_state(ConnectionState.RECONNECTING, "Cookie已刷新，准备重连")
                                # 短暂等待后继续重连循环
                                await asyncio.sleep(2)
                                continue
                            else:
                                logger.warning(f"【{self.cookie_id}】❌ 密码登录刷新失败，将重启实例...")
                        except Exception as refresh_e:
                            logger.error(f"【{self.cookie_id}】密码登录刷新过程异常: {self._safe_str(refresh_e)}")
                            logger.warning(f"【{self.cookie_id}】将重启实例...")
                        
                        # 如果密码登录刷新失败或异常，则重启实例
                        logger.error(f"【{self.cookie_id}】准备重启实例...")
                        self.connection_failures = 0  # 重置失败计数
                        
                        # 先清理后台任务，避免与重启过程冲突
                        logger.info(f"【{self.cookie_id}】重启前先清理后台任务...")
                        try:
                            await asyncio.wait_for(
                                self._cancel_background_tasks(),
                                timeout=8.0  # 给足够时间让任务响应
                            )
                            logger.info(f"【{self.cookie_id}】后台任务已清理完成")
                        except asyncio.TimeoutError:
                            logger.warning(f"【{self.cookie_id}】后台任务清理超时，强制继续重启")
                        except Exception as cleanup_e:
                            logger.error(f"【{self.cookie_id}】后台任务清理失败: {self._safe_str(cleanup_e)}")
                        
                        # 触发重启（不等待完成）
                        await self._restart_instance()
                        
                        # ⚠️ 重要：_restart_instance() 已触发重启，0.5秒后当前任务会被取消
                        # 不要在这里等待或执行其他操作，让任务自然退出
                        logger.info(f"【{self.cookie_id}】重启请求已触发，主程序即将退出，新实例将自动启动")
                        return  # 退出当前连接循环，等待被取消

                    # 计算重试延迟
                    retry_delay = self._calculate_retry_delay(error_msg)
                    logger.warning(f"【{self.cookie_id}】将在 {retry_delay} 秒后重试连接...")

                    try:
                        # 清空当前token，确保重新连接时会重新获取
                        if self.current_token:
                            logger.warning(f"【{self.cookie_id}】清空当前token，重新连接时将重新获取")
                            self.current_token = None

                        # 直接重置任务引用，不等待取消（快速重连方案）
                        # 这样可以避免等待任务取消导致的阻塞问题
                        logger.info(f"【{self.cookie_id}】准备重置后台任务引用（快速重连模式）...")
                        self._reset_background_tasks()
                        logger.info(f"【{self.cookie_id}】后台任务引用已重置，可以立即重连")

                        # 等待后重试 - 使用可中断的sleep，并定期输出日志证明进程还活着
                        logger.info(f"【{self.cookie_id}】开始等待 {retry_delay} 秒...")
                        # 强制刷新日志缓冲区，确保日志被写入
                        try:
                            sys.stdout.flush()
                        except:
                            pass
                        
                        # 使用可中断的sleep，每5秒输出一次心跳日志
                        chunk_size = 5.0  # 每5秒输出一次日志
                        remaining = retry_delay
                        start_time = time.time()
                        
                        while remaining > 0:
                            sleep_time = min(chunk_size, remaining)
                            try:
                                await asyncio.sleep(sleep_time)
                                remaining -= sleep_time
                                elapsed = time.time() - start_time
                                if remaining > 0:
                                    logger.info(f"【{self.cookie_id}】等待中... 已等待 {elapsed:.1f} 秒，剩余 {remaining:.1f} 秒")
                                    # 定期刷新日志
                                    try:
                                        sys.stdout.flush()
                                    except:
                                        pass
                            except asyncio.CancelledError:
                                logger.warning(f"【{self.cookie_id}】等待期间收到取消信号")
                                raise
                            except Exception as sleep_error:
                                logger.error(f"【{self.cookie_id}】等待期间发生异常: {self._safe_str(sleep_error)}")
                                logger.warning(f"【{self.cookie_id}】等待异常堆栈:\n{traceback.format_exc()}")
                                # 即使出错也继续等待剩余时间
                                if remaining > 0:
                                    await asyncio.sleep(remaining)
                                break
                        
                        logger.info(f"【{self.cookie_id}】等待完成（总耗时 {time.time() - start_time:.1f} 秒），准备重新连接...")
                        # 再次强制刷新日志
                        try:
                            sys.stdout.flush()
                        except:
                            pass
                        
                    except Exception as cleanup_error:
                        logger.error(f"【{self.cookie_id}】清理过程出错: {self._safe_str(cleanup_error)}")
                        logger.warning(f"【{self.cookie_id}】清理异常堆栈:\n{traceback.format_exc()}")
                        # 即使清理失败，也要重置任务引用并等待后重试
                        self.heartbeat_task = None
                        self.token_refresh_task = None
                        self.cleanup_task = None
                        self.cookie_refresh_task = None
                        logger.warning(f"【{self.cookie_id}】清理失败，已强制重置所有任务引用")
                        # 使用可中断的sleep，并定期输出日志
                        logger.info(f"【{self.cookie_id}】清理失败后开始等待 {retry_delay} 秒...")
                        chunk_size = 5.0
                        remaining = retry_delay
                        start_time = time.time()
                        
                        while remaining > 0:
                            sleep_time = min(chunk_size, remaining)
                            try:
                                await asyncio.sleep(sleep_time)
                                remaining -= sleep_time
                                if remaining > 0:
                                    logger.info(f"【{self.cookie_id}】清理失败后等待中... 剩余 {remaining:.1f} 秒")
                            except asyncio.CancelledError:
                                logger.warning(f"【{self.cookie_id}】清理失败后等待期间收到取消信号")
                                raise
                            except Exception as sleep_error:
                                logger.error(f"【{self.cookie_id}】清理失败后等待期间发生异常: {self._safe_str(sleep_error)}")
                                if remaining > 0:
                                    await asyncio.sleep(remaining)
                                break
                        
                        logger.info(f"【{self.cookie_id}】清理失败后等待完成（总耗时 {time.time() - start_time:.1f} 秒）")
                    
                    # 继续下一次循环
                    logger.info(f"【{self.cookie_id}】开始新一轮WebSocket连接尝试...")
                    continue
        finally:
            # 更新连接状态为已关闭
            self._set_connection_state(ConnectionState.CLOSED, "程序退出")
            
            # 清空当前token
            if self.current_token:
                logger.info(f"【{self.cookie_id}】程序退出，清空当前token")
                self.current_token = None

            # 检查是否还有未取消的后台任务，如果有才执行清理
            has_pending_tasks = any([
                self.heartbeat_task and not self.heartbeat_task.done(),
                self.token_refresh_task and not self.token_refresh_task.done(),
                self.cleanup_task and not self.cleanup_task.done(),
                self.cookie_refresh_task and not self.cookie_refresh_task.done()
            ])
            
            if has_pending_tasks:
                logger.info(f"【{self.cookie_id}】检测到未完成的后台任务，执行清理...")
                # 使用统一的任务清理方法，添加超时保护
                try:
                    await asyncio.wait_for(
                        self._cancel_background_tasks(),
                        timeout=10.0
                    )
                except asyncio.TimeoutError:
                    logger.error(f"【{self.cookie_id}】程序退出时任务取消超时，强制继续")
                except Exception as e:
                    logger.error(f"【{self.cookie_id}】程序退出时任务取消失败: {self._safe_str(e)}")
                finally:
                    # 确保任务引用被重置
                    self.heartbeat_task = None
                    self.token_refresh_task = None
                    self.cleanup_task = None
                    self.cookie_refresh_task = None
            else:
                logger.info(f"【{self.cookie_id}】所有后台任务已清理完成，跳过重复清理")
                # 确保任务引用被重置
                self.heartbeat_task = None
                self.token_refresh_task = None
                self.cleanup_task = None
                self.cookie_refresh_task = None
            
            # 清理所有后台任务
            if self.background_tasks:
                logger.info(f"【{self.cookie_id}】等待 {len(self.background_tasks)} 个后台任务完成...")
                try:
                    await asyncio.wait_for(
                        asyncio.gather(*self.background_tasks, return_exceptions=True),
                        timeout=10.0  # 10秒超时
                    )
                except asyncio.TimeoutError:
                    logger.warning(f"【{self.cookie_id}】后台任务清理超时，强制继续")
            
            # 确保关闭session
            await self.close_session()

            # 从全局实例字典中注销当前实例
            self._unregister_instance()
            logger.info(f"【{self.cookie_id}】XianyuLive主程序已完全退出")

    async def get_item_list_info(self, page_number=1, page_size=20, retry_count=0):
        """获取商品信息，自动处理token失效的情况

        Args:
            page_number (int): 页码，从1开始
            page_size (int): 每页数量，默认20
            retry_count (int): 重试次数，内部使用
        """
        if retry_count >= 4:  # 最多重试3次
            logger.error("获取商品信息失败，重试次数过多")
            return {"error": "获取商品信息失败，重试次数过多"}

        # 确保session已创建
        if not self.session:
            await self.create_session()

        params = {
            'jsv': '2.7.2',
            'appKey': '34839810',
            't': str(int(time.time()) * 1000),
            'sign': '',
            'v': '1.0',
            'type': 'originaljson',
            'accountSite': 'xianyu',
            'dataType': 'json',
            'timeout': '20000',
            'api': 'mtop.idle.web.xyh.item.list',
            'sessionOption': 'AutoLoginOnly',
            'spm_cnt': 'a21ybx.im.0.0',
            'spm_pre': 'a21ybx.collection.menu.1.272b5141NafCNK'
        }

        data = {
            'needGroupInfo': False,
            'pageNumber': page_number,
            'pageSize': page_size,
            'groupName': '在售',
            'groupId': '58877261',
            'defaultGroup': True,
            "userId": self.myid
        }

        # 始终从最新的cookies中获取_m_h5_tk token（刷新后cookies会被更新）
        token = trans_cookies(self.cookies_str).get('_m_h5_tk', '').split('_')[0] if trans_cookies(self.cookies_str).get('_m_h5_tk') else ''

        logger.warning(f"准备获取商品列表，token: {token}")
        if token:
            logger.warning(f"使用cookies中的_m_h5_tk token: {token}")
        else:
            logger.warning("cookies中没有找到_m_h5_tk token")

        # 生成签名
        data_val = json.dumps(data, separators=(',', ':'))
        sign = generate_sign(params['t'], token, data_val)
        params['sign'] = sign

        try:
            async with self.session.post(
                'https://h5api.m.goofish.com/h5/mtop.idle.web.xyh.item.list/1.0/',
                params=params,
                data={'data': data_val}
            ) as response:
                res_json = await response.json()

                # 检查并更新Cookie
                if 'set-cookie' in response.headers:
                    new_cookies = {}
                    for cookie in response.headers.getall('set-cookie', []):
                        if '=' in cookie:
                            name, value = cookie.split(';')[0].split('=', 1)
                            new_cookies[name.strip()] = value.strip()

                    # 更新cookies
                    if new_cookies:
                        self.cookies.update(new_cookies)
                        # 生成新的cookie字符串
                        self.cookies_str = '; '.join([f"{k}={v}" for k, v in self.cookies.items()])
                        # 更新数据库中的Cookie
                        await self.update_config_cookies()
                        logger.warning("已更新Cookie到数据库")

                logger.info(f"商品信息获取响应: {res_json}")

                # 检查响应是否成功
                if res_json.get('ret') and res_json['ret'][0] == 'SUCCESS::调用成功':
                    items_data = res_json.get('data', {})
                    # 从cardList中提取商品信息
                    card_list = items_data.get('cardList', [])

                    # 解析cardList中的商品信息
                    items_list = []
                    for card in card_list:
                        card_data = card.get('cardData', {})
                        if card_data:
                            # 提取商品基本信息
                            item_info = {
                                'id': card_data.get('id', ''),
                                'title': card_data.get('title', ''),
                                'price': card_data.get('priceInfo', {}).get('price', ''),
                                'price_text': card_data.get('priceInfo', {}).get('preText', '') + card_data.get('priceInfo', {}).get('price', ''),
                                'category_id': card_data.get('categoryId', ''),
                                'auction_type': card_data.get('auctionType', ''),
                                'item_status': card_data.get('itemStatus', 0),
                                'detail_url': card_data.get('detailUrl', ''),
                                'pic_info': card_data.get('picInfo', {}),
                                'detail_params': card_data.get('detailParams', {}),
                                'track_params': card_data.get('trackParams', {}),
                                'item_label_data': card_data.get('itemLabelDataVO', {}),
                                'card_type': card.get('cardType', 0)
                            }
                            items_list.append(item_info)

                    logger.info(f"成功获取到 {len(items_list)} 个商品")

                    # 打印商品详细信息到控制台
                    print("\n" + "="*80)
                    print(f"📦 账号 {self.myid} 的商品列表 (第{page_number}页，{len(items_list)} 个商品)")
                    print("="*80)

                    for i, item in enumerate(items_list, 1):
                        print(f"\n🔸 商品 {i}:")
                        print(f"   商品ID: {item.get('id', 'N/A')}")
                        print(f"   商品标题: {item.get('title', 'N/A')}")
                        print(f"   价格: {item.get('price_text', 'N/A')}")
                        print(f"   分类ID: {item.get('category_id', 'N/A')}")
                        print(f"   商品状态: {item.get('item_status', 'N/A')}")
                        print(f"   拍卖类型: {item.get('auction_type', 'N/A')}")
                        print(f"   详情链接: {item.get('detail_url', 'N/A')}")
                        if item.get('pic_info'):
                            pic_info = item['pic_info']
                            print(f"   图片信息: {pic_info.get('width', 'N/A')}x{pic_info.get('height', 'N/A')}")
                            print(f"   图片链接: {pic_info.get('picUrl', 'N/A')}")
                        print(f"   完整信息: {json.dumps(item, ensure_ascii=False, indent=2)}")

                    print("\n" + "="*80)
                    print("✅ 商品列表获取完成")
                    print("="*80)

                    # 自动保存商品信息到数据库
                    if items_list:
                        saved_count = await self.save_items_list_to_db(items_list)
                        logger.info(f"已将 {saved_count} 个商品信息保存到数据库")

                    return {
                        "success": True,
                        "page_number": page_number,
                        "page_size": page_size,
                        "current_count": len(items_list),
                        "items": items_list,
                        "saved_count": saved_count if items_list else 0,
                        "raw_data": items_data  # 保留原始数据以备调试
                    }
                else:
                    # 检查是否是token失效
                    error_msg = res_json.get('ret', [''])[0] if res_json.get('ret') else ''
                    if 'FAIL_SYS_TOKEN_EXOIRED' in error_msg or 'token' in error_msg.lower():
                        logger.warning(f"Token失效，准备重试: {error_msg}")
                        await asyncio.sleep(0.5)
                        return await self.get_item_list_info(page_number, page_size, retry_count + 1)
                    else:
                        logger.error(f"获取商品信息失败: {res_json}")
                        return {"error": f"获取商品信息失败: {error_msg}"}

        except Exception as e:
            logger.error(f"商品信息API请求异常: {self._safe_str(e)}")
            await asyncio.sleep(0.5)
            return await self.get_item_list_info(page_number, page_size, retry_count + 1)

    async def get_all_items(self, page_size=20, max_pages=None):
        """获取所有商品信息（自动分页）

        Args:
            page_size (int): 每页数量，默认20
            max_pages (int): 最大页数限制，None表示无限制

        Returns:
            dict: 包含所有商品信息的字典
        """
        all_items = []
        page_number = 1
        total_saved = 0

        logger.info(f"开始获取所有商品信息，每页{page_size}条")

        while True:
            if max_pages and page_number > max_pages:
                logger.info(f"达到最大页数限制 {max_pages}，停止获取")
                break

            logger.info(f"正在获取第 {page_number} 页...")
            result = await self.get_item_list_info(page_number, page_size)

            if not result.get("success"):
                logger.error(f"获取第 {page_number} 页失败: {result}")
                break

            current_items = result.get("items", [])
            if not current_items:
                logger.info(f"第 {page_number} 页没有数据，获取完成")
                break

            all_items.extend(current_items)
            total_saved += result.get("saved_count", 0)

            logger.info(f"第 {page_number} 页获取到 {len(current_items)} 个商品")

            # 如果当前页商品数量少于页面大小，说明已经是最后一页
            if len(current_items) < page_size:
                logger.info(f"第 {page_number} 页商品数量({len(current_items)})少于页面大小({page_size})，获取完成")
                break

            page_number += 1

            # 添加延迟避免请求过快
            await asyncio.sleep(1)

        logger.info(f"所有商品获取完成，共 {len(all_items)} 个商品，保存了 {total_saved} 个")

        return {
            "success": True,
            "total_pages": page_number,
            "total_count": len(all_items),
            "total_saved": total_saved,
            "items": all_items
        }

    async def send_image_msg(self, ws, cid, toid, image_url, width=800, height=600, card_id=None):
        """发送图片消息"""
        try:
            # 检查图片URL是否需要上传到CDN
            original_url = image_url

            if self._is_cdn_url(image_url):
                # 已经是CDN链接，直接使用
                logger.info(f"【{self.cookie_id}】使用已有的CDN图片链接: {image_url}")
            elif image_url.startswith('/static/uploads/') or image_url.startswith('static/uploads/'):
                # 本地图片，需要上传到闲鱼CDN
                local_image_path = image_url.replace('/static/uploads/', 'static/uploads/')
                if os.path.exists(local_image_path):
                    logger.info(f"【{self.cookie_id}】准备上传本地图片到闲鱼CDN: {local_image_path}")

                    # 使用图片上传器上传到闲鱼CDN
                    from utils.image_uploader import ImageUploader
                    uploader = ImageUploader(self.cookies_str)

                    async with uploader:
                        cdn_url = await uploader.upload_image(local_image_path)
                        if cdn_url:
                            logger.info(f"【{self.cookie_id}】图片上传成功，CDN URL: {cdn_url}")
                            image_url = cdn_url

                            # 如果是卡券图片，更新数据库中的图片URL
                            if card_id is not None:
                                await self._update_card_image_url(card_id, cdn_url)

                            # 获取实际图片尺寸
                            from utils.image_utils import image_manager
                            try:
                                actual_width, actual_height = image_manager.get_image_size(local_image_path)
                                if actual_width and actual_height:
                                    width, height = actual_width, actual_height
                                    logger.info(f"【{self.cookie_id}】获取到实际图片尺寸: {width}x{height}")
                            except Exception as e:
                                logger.warning(f"【{self.cookie_id}】获取图片尺寸失败，使用默认尺寸: {e}")
                        else:
                            logger.error(f"【{self.cookie_id}】图片上传失败: {local_image_path}")
                            logger.error(f"【{self.cookie_id}】❌ Cookie可能已失效！请检查配置并更新Cookie")
                            raise Exception(f"图片上传失败（Cookie可能已失效）: {local_image_path}")
                else:
                    logger.error(f"【{self.cookie_id}】本地图片文件不存在: {local_image_path}")
                    raise Exception(f"本地图片文件不存在: {local_image_path}")
            else:
                logger.warning(f"【{self.cookie_id}】未知的图片URL格式: {image_url}")

            # 记录详细的图片信息
            logger.info(f"【{self.cookie_id}】准备发送图片消息:")
            logger.info(f"  - 原始URL: {original_url}")
            logger.info(f"  - CDN URL: {image_url}")
            logger.info(f"  - 图片尺寸: {width}x{height}")
            logger.info(f"  - 聊天ID: {cid}")
            logger.info(f"  - 接收者ID: {toid}")

            # 构造图片消息内容 - 使用正确的闲鱼格式
            image_content = {
                "contentType": 2,  # 图片消息类型
                "image": {
                    "pics": [
                        {
                            "height": int(height),
                            "type": 0,
                            "url": image_url,
                            "width": int(width)
                        }
                    ]
                }
            }

            # Base64编码
            content_json = json.dumps(image_content, ensure_ascii=False)
            content_base64 = str(base64.b64encode(content_json.encode('utf-8')), 'utf-8')

            logger.info(f"【{self.cookie_id}】图片内容JSON: {content_json}")
            logger.info(f"【{self.cookie_id}】Base64编码长度: {len(content_base64)}")

            # 构造WebSocket消息（完全参考send_msg的格式）
            msg = {
                "lwp": "/r/MessageSend/sendByReceiverScope",
                "headers": {
                    "mid": generate_mid()
                },
                "body": [
                    {
                        "uuid": generate_uuid(),
                        "cid": f"{cid}@goofish",
                        "conversationType": 1,
                        "content": {
                            "contentType": 101,
                            "custom": {
                                "type": 1,
                                "data": content_base64
                            }
                        },
                        "redPointPolicy": 0,
                        "extension": {
                            "extJson": "{}"
                        },
                        "ctx": {
                            "appVersion": "1.0",
                            "platform": "web"
                        },
                        "mtags": {},
                        "msgReadStatusSetting": 1
                    },
                    {
                        "actualReceivers": [
                            f"{toid}@goofish",
                            f"{self.myid}@goofish"
                        ]
                    }
                ]
            }

            await ws.send(json.dumps(msg))
            logger.info(f"【{self.cookie_id}】图片消息发送成功: {image_url}")

        except Exception as e:
            logger.error(f"【{self.cookie_id}】发送图片消息失败: {self._safe_str(e)}")
            raise

    async def send_image_from_file(self, ws, cid, toid, image_path):
        """从本地文件发送图片"""
        try:
            # 上传图片到闲鱼CDN
            logger.info(f"【{self.cookie_id}】开始上传图片: {image_path}")

            from utils.image_uploader import ImageUploader
            uploader = ImageUploader(self.cookies_str)

            async with uploader:
                image_url = await uploader.upload_image(image_path)

            if image_url:
                # 获取图片信息
                from utils.image_utils import image_manager
                try:
                    from PIL import Image
                    with Image.open(image_path) as img:
                        width, height = img.size
                except Exception as e:
                    logger.warning(f"无法获取图片尺寸，使用默认值: {e}")
                    width, height = 800, 600

                # 发送图片消息
                await self.send_image_msg(ws, cid, toid, image_url, width, height)
                logger.info(f"【{self.cookie_id}】图片发送完成: {image_path} -> {image_url}")
                return True
            else:
                logger.error(f"【{self.cookie_id}】图片上传失败: {image_path}")
                logger.error(f"【{self.cookie_id}】❌ Cookie可能已失效！请检查配置并更新Cookie")
                return False

        except Exception as e:
            logger.error(f"【{self.cookie_id}】从文件发送图片失败: {self._safe_str(e)}")
            return False

if __name__ == '__main__':
    cookies_str = os.getenv('COOKIES_STR')
    xianyuLive = XianyuLive(cookies_str)
    asyncio.run(xianyuLive.main())