我有这个函数,它可以在我的机器上使用 python 3.8 在本地正常工作,但它会在 Google Cloud Functions 上引发运行时错误。
def telegram_test(request):
request_json = request.get_json()
import datetime
import pandas as pd
from pyrogram import Client
session_string = "...............38Q8uTHG5gHwyWD8nW6h................."
# the rest of the authantication
api_id = 32494131641215
api_hash = "ioadsfsjnjksfgnfriuthg#qw]/zwq ]w/\lc ec,"
# one of bbc channels on telegram you want to access
channel_name = 'pyrogram'
# if you only want to get messages older than 7 days in unix style
seven_days = int((datetime.datetime.now() - datetime.timedelta(days=7)).timestamp())
# call telegram with parameters such as limit and date
# save the result to dataframe
with Client(session_string,api_id,api_hash, takeout=True,workers=2) as app:
hist_iter = app.iter_history(channel_name,offset_date=seven_days, limit=100)
msglist = [msg.__dict__ for msg in hist_iter]
df = pd.DataFrame(msglist)
print(df.head(5))
return f'it works!:{request_json}'
我从 GCF 日志中得到的错误消息:
文件“/opt/python3.8/lib/python3.8/asyncio/events.py”,第 639 行,在 get_event_loop 中引发 RuntimeError('There is no current event loop in thread %r.' RuntimeError: There is no current event在线程“ThreadPoolExecutor-0_0”中循环。
更新
我更新了代码,运行时错误消失了。但我收到超时错误。我将超时设置为 180 秒,但当我测试该功能时仍然超时 60 秒。
这是更新的代码。有什么我做错了吗?
async def foo():
from datetime import datetime, timedelta
from pandas import DataFrame
from pyrogram import Client
import asyncio
session_string = "********zNmkubA4ibjsdjhsdfjlhweruifnjkldfioY5DE*********"
api_id = 325511548224831351
api_hash = "jdffjgtrkjhfklmrtgjtrm;sesews;;wex"
channel_name = 'cnn'
with Client(session_string, api_id, api_hash, takeout=True) as app:
hist_iter = app.iter_history(
channel_name, limit=10)
msglist = [msg.__dict__ for msg in hist_iter]
df = DataFrame(msglist)
return df
async def bar():
return await foo()
def test(request):
from asyncio import run
return run(bar())