asyncio+ThreadPoolExecutor爬虫

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#使用多线程:在携程中集成阻塞io
import asyncio
from concurrent.futures import ThreadPoolExecutor
import socket
from urllib.parse import urlparse
 
 
def get_url(url):
    #通过socket请求html
    url = urlparse(url)
    host = url.netloc
    path = url.path
    if path == "":
        path = "/"
 
    #建立socket连接
    client = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
    # client.setblocking(False)
    client.connect((host,80)) #阻塞不会消耗cpu
 
    #不停的询问连接是否建立好, 需要while循环不停的去检查状态
    #做计算任务或者再次发起其他的连接请求
 
    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()
 
 
if __name__ == "__main__":
    import time
    start_time = time.time()
    loop = asyncio.get_event_loop()
    executor = ThreadPoolExecutor(10)
    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))
原文链接:https://www.f2er.com/note/411478.html

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