Using requests_cache and my code can not run

[Nevermetyou65]

Hi

I have a problem with my code

import requests
import requests_cache
import pandas as pd
import joblib

from requests.adapters import HTTPAdapter
from urllib3.util import Retry

from bs4 import BeautifulSoup
from pythainlp.util import normalize
from tqdm.auto import tqdm, trange
from concurrent.futures import ThreadPoolExecutor, as_completed

# Setup retry strategy for session
# session = requests.Session()
session = requests_cache.CachedSession("muan_cache")
retry_strategy = Retry(
    total=3,
    backoff_factor=0.5,
    status_forcelist=[500, 502, 503, 504],  # Retry on these HTTP errors
)
adapter = HTTPAdapter(max_retries=retry_strategy)
session.mount("http://", adapter)
session.mount("https://", adapter)

def fetch_url(url, session):
    """Fetch the URL and return its status code."""
    try:
        response = session.get(url, timeout=5)
        return url, response.status_code
    except requests.RequestException:
        return url, None


def fetch_all_urls(urls, session, max_workers=32):
    """Fetch all URLs using multi-threading."""
    with ThreadPoolExecutor(max_workers=max_workers) as executor:
        future_to_url = {executor.submit(fetch_url, url, session): url for url in urls}
        for future in tqdm(as_completed(future_to_url), total=len(urls)):
            url, status = future.result()
            urls_response[url] = status

    return urls_response

BASE_URL = "https://muan.space/?p="
urls = [BASE_URL + str(i) for i in trange(1, 30_000 + 1)]

# Fetch URLs concurrently
urls_response = fetch_all_urls(urls, session)
# url_response = {url : fetch_url(url, session) for url in tqdm(urls)}

I can run this line urls_response = fetch_all_urls(urls, session) using requests but it the same can not be saidm when I use requests_cache. Any Idea?? I ran this in jupyterlab