K2cr2O1
c851b49db9
重构 WS 类中的连接获取和释放逻辑，使用 connection 上下文管理器确保连接正确释放。 同时改进消息处理循环中的异常处理和连接管理。 refactor(ws_pool): 增强连接池的健壮性和管理能力 1. 添加连接上下文管理器支持 2. 改进连接获取和释放逻辑，增加连接计数和锁保护 3. 优化连接健康检查和清理机制 4. 增强错误处理和日志记录 fix(bot_status): 增加系统信息获取和渲染的错误处理 1. 为系统信息获取添加超时和错误处理 2. 为Redis数据获取添加异常捕获 3. 为图片渲染添加异常处理 4. 改进日志记录和用户反馈
182 lines
6.9 KiB
Python
182 lines
6.9 KiB
Python
"""
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Bot 状态查询插件
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提供 /status 指令，以图片形式展示机器人当前的综合运行状态。
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"""
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import os
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import psutil
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import time
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import asyncio
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from datetime import datetime, timedelta
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from core.bot import Bot
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from core.managers.command_manager import matcher
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from core.managers.image_manager import image_manager
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from core.managers.redis_manager import redis_manager
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from core.utils.executor import run_in_thread_pool
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from core.utils.logger import logger
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from models.events.message import MessageEvent, MessageSegment
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from models.objects import LoginInfo, Status, VersionInfo
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__plugin_meta__ = {
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"name": "bot_status",
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"description": "以图片形式展示机器人当前的综合运行状态",
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"usage": "/status 或 /状态",
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}
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# 记录机器人启动时间
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START_TIME = time.time()
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# 获取当前进程
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PROCESS = psutil.Process(os.getpid())
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def _get_system_info():
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"""
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同步函数：使用 psutil 获取系统信息，避免阻塞事件循环。
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"""
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try:
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# interval=1 会阻塞1秒，必须在线程池中运行
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cpu_percent = psutil.cpu_percent(interval=1)
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mem_info = psutil.virtual_memory()
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bot_mem_mb = PROCESS.memory_info().rss / (1024 * 1024)
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return {
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"cpu_percent": f"{cpu_percent:.1f}",
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"mem_percent": f"{mem_info.percent:.1f}",
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"bot_mem_mb": f"{bot_mem_mb:.2f}",
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}
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except Exception as e:
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logger.error(f"获取系统信息失败: {e}")
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return {
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"cpu_percent": "N/A",
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"mem_percent": "N/A",
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"bot_mem_mb": "N/A",
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}
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@matcher.command("status", "状态")
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async def handle_status(bot: Bot, event: MessageEvent, args: list[str]):
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"""
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处理 status 指令，生成并回复机器人状态图片。
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"""
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logger.info(f"收到用户 {event.user_id} 的状态查询指令，开始生成状态图...")
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try:
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# 1. 获取API信息 (增加独立错误处理)
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try:
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# 优先使用 get_stranger_info 获取自身信息，比 get_login_info 更轻量
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stranger_info = await bot.get_stranger_info(user_id=bot.self_id)
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nickname = stranger_info.nickname
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except Exception as e:
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logger.warning(f"获取 stranger_info 失败: {e}, 将回退到 login_info")
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try:
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login_info = await bot.get_login_info()
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nickname = login_info.nickname
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except Exception as e2:
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logger.warning(f"获取 login_info 也失败了: {e2}")
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nickname = "获取失败"
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# 状态信息：如果能响应此命令，说明机器人必然在线且状态良好
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# 这避免了依赖可能超时或未实现的 get_status API
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logger.debug("正在推断机器人状态...")
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status_info = Status(online=True, good=True)
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logger.debug(f"推断状态成功: online={status_info.online}, good={status_info.good}")
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try:
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version_info = await bot.get_version_info()
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except Exception as e:
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logger.warning(f"获取 version_info 失败: {e}")
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version_info = VersionInfo(app_name="获取失败", app_version="N/A", protocol_version="N/A")
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# 2. 计算运行时长
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uptime_seconds = int(time.time() - START_TIME)
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uptime_delta = timedelta(seconds=uptime_seconds)
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days = uptime_delta.days
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hours, remainder = divmod(uptime_delta.seconds, 3600)
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minutes, seconds = divmod(remainder, 60)
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uptime_str = f"{days}天 {hours:02}:{minutes:02}:{seconds:02}"
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bot_info_data = {
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"user_id": bot.self_id,
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"nickname": nickname,
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"avatar_url": f"https://q1.qlogo.cn/g?b=qq&nk={bot.self_id}&s=640",
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"start_time": datetime.fromtimestamp(START_TIME).strftime("%Y-%m-%d %H:%M:%S"),
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"uptime": uptime_str,
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}
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# 3. 获取统计数据
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try:
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msgs_recv = await redis_manager.get("neobot:stats:messages_received") or 0
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msgs_sent = await redis_manager.get("neobot:stats:messages_sent") or 0
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command_stats_raw = await redis_manager.redis.hgetall("neobot:command_stats")
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total_commands = sum(int(v) for v in command_stats_raw.values())
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stats_data = {
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"messages_received": int(msgs_recv),
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"messages_sent": int(msgs_sent),
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"total_commands": total_commands,
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}
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command_stats_data = sorted(
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[{"name": k, "count": int(v)} for k, v in command_stats_raw.items()],
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key=lambda x: x["count"],
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reverse=True
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)
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except Exception as e:
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logger.error(f"获取Redis统计数据失败: {e}")
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stats_data = {
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"messages_received": 0,
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"messages_sent": 0,
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"total_commands": 0,
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}
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command_stats_data = []
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# 4. 异步获取系统信息
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# 设置超时，防止 psutil 阻塞过久
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try:
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system_data = await asyncio.wait_for(run_in_thread_pool(_get_system_info), timeout=5.0)
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except asyncio.TimeoutError:
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logger.error("获取系统信息超时")
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system_data = {
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"cpu_percent": "Timeout",
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"mem_percent": "Timeout",
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"bot_mem_mb": "Timeout",
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}
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except Exception as e:
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logger.error(f"获取系统信息异常: {e}")
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system_data = {
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"cpu_percent": "Error",
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"mem_percent": "Error",
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"bot_mem_mb": "Error",
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}
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# 5. 准备模板所需的所有数据
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template_data = {
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"bot_info": bot_info_data,
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"status_info": status_info,
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"version_info": version_info,
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"stats": stats_data,
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"system": system_data,
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"command_stats": command_stats_data,
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}
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# 6. 渲染图片
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try:
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base64_str = await image_manager.render_template_to_base64(
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template_name="status.html",
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data=template_data,
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output_name="status.png",
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image_type="png"
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)
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if base64_str:
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await event.reply(MessageSegment.image(base64_str))
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else:
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# 如果渲染失败，image_manager 内部会记录错误，这里给用户一个通用提示
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await event.reply("状态图片生成失败，可能是渲染服务出现问题，请联系管理员。")
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except Exception as e:
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logger.error(f"渲染图片失败: {e}")
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await event.reply("状态图片渲染过程中发生错误。")
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except Exception as e:
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logger.exception(f"生成状态图时发生意外错误, 用户: {event.user_id}")
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await event.reply(f"获取状态信息时发生未知错误，请稍后再试或联系管理员。")
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