#threading #python

threading_requests.py

import concurrent.futures
import json
import time
import requests

URLS = [
    "https://reqres.in/api/users",
    "http://dummy.restapiexample.com/api/v1/employees",
    # "https://jsonplaceholder.typicode.com/todos",
    # "https://jsonplaceholder.typicode.com/posts",
]


# Retrieve a single page and report the URL and contents
def load_url(url, timeout):
    with requests.Session() as s:
        return s.get(url, timeout=timeout).content


# We can use a with statement to ensure threads are cleaned up promptly
result = []
start_time = time.time()
with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
    # Start the load operations and mark each future with its URL
    future_to_url = {executor.submit(load_url, url, 60): url for url in URLS}
    for future in concurrent.futures.as_completed(future_to_url):
        url = future_to_url[future]
        try:
            data = json.loads(future.result().decode("utf-8"))
            result.append(data)
        except Exception as exc:
            print("%r generated an exception: %s" % (url, exc))
        else:
            print("%r page is %d bytes" % (url, len(data)))
print(result)
print("total time took is %s" % (time.time() - start_time))