问题
I have this function which works fine locally on my machine with python 3.8, but it throws runtime error on Google Cloud Functions.
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}'
The error message I get from GCF log:
File "/opt/python3.8/lib/python3.8/asyncio/events.py", line 639, in get_event_loop raise RuntimeError('There is no current event loop in thread %r.' RuntimeError: There is no current event loop in thread 'ThreadPoolExecutor-0_0'.
Update
I updated the code, the runtime error gone. but I am getting time out error. I put the timeout 180 secondes, but still when I test the function times out on 60 seconds.
Here is the updated code. Is there something I am doing wrong?
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())
回答1:
bar()
is redundant- You're trying to return a dataframe. Is it a valid HTTP response?
with
->async with
hist_iter = app.iter_history()
->hist_iter = await app.iter_history()
- M.b. it waits for input?
回答2:
The solution in the end was to change from Pyrogram to telethon and create the asyncio manaually before creating the client.
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
来源:https://stackoverflow.com/questions/66095735/asyncio-not-working-on-google-cloud-functions