python asyncio 使用ThreadPoolExecutor和asyncio完成阻塞IO請求

#使用多線程：在協程中集成阻塞io
import asyncio
from concurrent.futures import ThreadPoolExecutor
import socket
from urllib.parse import urlparse


def get_url(url):
    #通過socket請求html
    url = urlparse(url)
    host = url.netloc
    path = url.path
    if path == "":
        path = "/"

    #建立socket連接
    client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    # client.setblocking(False)
    client.connect((host, 80)) #阻塞不會消耗cpu

    #不停的詢問連接是否建立好， 需要while循環不停的去檢查狀態
    #做計算任務或者再次發起其他的連接請求

    client.send("GET {} HTTP/1.1\r\nHost:{}\r\nConnection:close\r\n\r\n".format(path, host).encode("utf8"))

    data = b""
    while True:
        d = client.recv(1024)
        if d:
            data += d
        else:
            break

    data = data.decode("utf8")
    html_data = data.split("\r\n\r\n")[1]
    print(html_data)
    client.close()


# 如果在協程中要用到阻塞IO，就把他放到線程池里面去運行，在運行的時候，本質還是線程池，同步的
if __name__ == "__main__":
    import time
    start_time = time.time()
    loop = asyncio.get_event_loop()
    executor = ThreadPoolExecutor(3)
    tasks = []
    for url in range(20):
        url = "http://shop.projectsedu.com/goods/{}/".format(url)
        task = loop.run_in_executor(executor, get_url, url)
        tasks.append(task)
    loop.run_until_complete(asyncio.wait(tasks))
    print("last time:{}".format(time.time()-start_time))