Discord股票机器人called_once_a_day报错：RuntimeError: no running event loop

核心问题 #

报错RuntimeError: no running event loop是因为在asyncio事件循环未启动时调用了定时任务的start()方法，同时脚本顶层直接执行called_once_a_day.start()，此时Discord bot的事件循环还未初始化，导致无法创建异步任务。另外代码中还存在同步阻塞调用的隐患。

修复步骤 #

1. 调整定时任务启动时机 #

将called_once_a_day.start()移至bot的on_ready事件回调中，确保在bot登录完成、事件循环已启动后再启动定时任务：

@bot.event
async def on_ready():
    print(f"已登录为 {bot.user}")
    # 避免重复启动任务
    if not called_once_a_day.is_running():
        called_once_a_day.start()

2. 替换同步HTTP请求为异步调用 #

原代码中requests.get()是同步阻塞方法，会卡住整个bot的事件循环，改用异步HTTP库aiohttp替代：
先安装依赖：

pip install aiohttp

修改定时任务函数：

import aiohttp
from bs4 import BeautifulSoup
from discord.ext import tasks, commands

@tasks.loop(hours=24)
async def called_once_a_day():
    URL = "https://finance.yahoo.com/quote/^QMI"
    # 异步请求页面
    async with aiohttp.ClientSession() as session:
        async with session.get(URL) as response:
            page_text = await response.text()
    
    soup = BeautifulSoup(page_text, "html.parser")
    premarket = ""
    try:
        price_container = soup.find("div", {"class":"My(6px) Pos(r) smartphone_Mt(6px)"})
        if price_container:
            spans = price_container.find_all("span")
            if len(spans) >= 2:
                current_price = spans[0]
                change = spans[1]
                premarket = f"NASDAQ 100 Pre Market\t{current_price.text}\t{change.text}"
            else:
                premarket = "数据不足"
        else:
            premarket = "未找到数据容器"
    except Exception as e:
        premarket = f"获取数据失败: {str(e)}"

    # 遍历频道发送消息
    for guild in bot.guilds:
        for channel in guild.channels:
            try:
                embed = get_news()  # 若get_news是同步函数，建议也改为异步避免阻塞
                await channel.send(embed=embed)
                await channel.send(premarket)
            except Exception as e:
                print(f"发送到频道 {channel.name} 失败: {str(e)}")
                continue

3. 优化异常处理与元素查找 #

• 移除宽泛的except:，改为捕获具体异常并打印错误信息，便于调试
• 增加元素存在性判断，避免索引越界报错

内容的提问来源于stack exchange，提问作者Kartikay Mehta