3b9bd02b5f
变更项：\n1. 新增 async_job 启动钩子能力 add_startup_job，在调度器事件循环中执行一次性初始化任务。\n2. 将 main.py 的 Markdown 转图预热从独立线程改为调度器 loop 内执行，确保预热实例可被后续任务复用。\n3. 增强 markdown_to_image 常驻浏览器管理：记录 owner loop、检测跨 loop 复用并自动重建。\n4. 补充预热与常驻浏览器日志，输出 loop 标识和浏览器 PID，便于线上排查进程状态。\n5. 保持现有转图超时与重试逻辑不变，仅修复预热生效链路与可观测性。
140 lines
4.4 KiB
Python
140 lines
4.4 KiB
Python
#! /usr/bin/env python3
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# -*- coding: utf-8 -*-
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import asyncio
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import threading
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from admin.GlancesMonitor import GlancesMonitor
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from utils.decorator.async_job import async_job
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from utils.markdown_to_image import warmup_md2img_browser
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from configuration import Config
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from robot import Robot
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from loguru import logger
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from utils.sehuatang.sehuatang_bot import SehuatangCrawler
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# 普通日志不附带 traceback，避免 debug/info 文件被异常堆栈刷屏。
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def _plain_log_format(record):
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record["exception"] = None
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return "{time:YYYY-MM-DD HH:mm:ss.SSS} | {level:<8} | {name}:{function}:{line} - {message}\n"
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def _error_log_format(record):
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return (
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"{time:YYYY-MM-DD HH:mm:ss.SSS} | {level:<8} | {name}:{function}:{line} - {message}\n"
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"{exception}"
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)
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# INFO 日志（包含 INFO、DEBUG，但不包含 WARNING、ERROR）
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logger.add(
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f"logs/wx_info.log",
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level="INFO",
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filter=lambda record: record["level"].name in ["INFO", "DEBUG"],
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rotation="10 MB",
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retention="7 days",
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encoding="utf-8",
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format=_plain_log_format,
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backtrace=False,
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diagnose=False,
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)
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# ERROR 日志（仅 ERROR 及以上）
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logger.add(
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f"logs/wx_error.log",
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level="ERROR",
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rotation="10 MB",
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retention="7 days",
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encoding="utf-8",
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format=_error_log_format,
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backtrace=True,
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diagnose=True,
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)
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# ERROR 日志（仅 ERROR 及以上）
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logger.add(
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f"logs/wx_debug.log",
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level="DEBUG",
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rotation="10 MB",
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retention="7 days",
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encoding="utf-8",
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format=_plain_log_format,
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backtrace=False,
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diagnose=False,
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)
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def main():
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config = Config()
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# 创建机器人实例
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robot = Robot(config)
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robot.LOG.info(f"ABOT服务 正在启动...")
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# 初始化并启动wechat_ipad客户端
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if robot.init_wechat_ipad():
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robot.LOG.info("wechat_ipad客户端启动成功")
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else:
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robot.LOG.error("wechat_ipad客户端启动失败")
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# 注册定时任务
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jobs(robot)
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# 启动Dashboard服务器
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try:
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# 创建Dashboard服务器实例，共享robot对象
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from admin.dashboard.server import DashboardServer
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dashboard_server = DashboardServer(robot_instance=robot)
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# 在单独的线程中启动Dashboard服务器
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dashboard_thread = threading.Thread(target=dashboard_server.run, daemon=True)
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dashboard_thread.start()
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robot.LOG.info(f"Dashboard服务器已在 http://{dashboard_server.host}:{dashboard_server.port} 启动")
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except Exception as e:
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robot.LOG.error(f"Dashboard服务器启动失败: {e}")
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try:
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robot.LOG.debug(f"开始启动GlancesMonitor")
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# 初始化 Glances 监控
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monitor = GlancesMonitor(
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email_sender=robot.email_sender,
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host=config.glances.get("host"),
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port=config.glances.get("port"),
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cpu_threshold=80.0,
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load_threshold=16, # 自动设为 CPU 核心数 * 2
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io_threshold=100.0,
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disk_usage_threshold=70.0,
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handle_threshold=20000,
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recipient=config.email.get("alert_recipient")
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)
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monitor.run()
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except Exception as e:
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robot.LOG.error(f"GlancesMonitor服务器启动失败: {e}")
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# 启动后在“调度器同一事件循环”中预热 Markdown 转图浏览器。
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# 这样可确保预热得到的常驻浏览器与后续截图任务复用同一 loop，避免跨 loop 句柄失效。
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try:
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async def _warmup_md2img():
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ok = await warmup_md2img_browser(timeout_seconds=60)
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if ok:
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robot.LOG.info("Markdown 转图浏览器预热成功（调度器事件循环）")
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else:
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robot.LOG.warning("Markdown 转图浏览器预热失败，运行期将按需重试")
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async_job.add_startup_job(_warmup_md2img, name="md2img_warmup")
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except Exception as e:
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robot.LOG.error(f"注册 Markdown 转图预热任务失败: {e}")
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robot.LOG.info(f"=" * 50)
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asyncio.run(async_job.run_all())
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# 让机器人一直跑
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robot.keep_running_and_block_process()
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def jobs(robot: Robot):
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# 系统级定时任务统一改为数据库驱动，不再在 main.py 里硬编码维护。
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# 这里保留入口，只负责按表配置重新加载，便于运行时刷新。
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if hasattr(robot, "system_job_loader") and robot.system_job_loader:
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robot.system_job_loader.reload_from_db()
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if __name__ == "__main__":
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main()
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