13 并发编程-(线程)-异步调用与回调机制&进程池线程池小练习

#提交任务的两种方式
#1、同步调用:提交完任务后，就在原地等待任务执行完毕，拿到结果，再执行下一行代码,导致程序是串行执行

一、提交任务的两种方式

1、同步调用：提交任务后，就在原地等待任务完毕，拿到结果，再执行下一行代码，导致程序串行执行

from concurrent.futures import ThreadPoolExecutor
import time
import random
def produce(name):
    print('%s is producing' %name)
    time.sleep(random.randint(3,5))
    res=random.randint(7,13)*'#'
    return {'name':name,'res':res}

def number(commodity):
    name=commodity['name']
    size=len(commodity['res'])
    print('%s 制造了 《%s》件商品' %(name,size))


if __name__ == '__main__':
    pool=ThreadPoolExecutor(13)

    p1=pool.submit(produce,'alex').result()  # 取得返回的结果
    number(p1)

    p2=pool.submit(produce,'wupeiqi').result()
    number(p2)

    p3=pool.submit(produce,'yuanhao').result()
    number(p3)

alex is producing
alex 制造了 《12》件商品
wupeiqi is producing
wupeiqi 制造了 《12》件商品
yuanhao is producing
yuanhao 制造了 《11》件商品

2、回调函数--异步调用：提交完任务后，不用原地等待任务执行完毕，

 

from concurrent.futures import ThreadPoolExecutor
import time
import random
def produce(name):
    print('%s is producing' %name)
    time.sleep(random.randint(3,5))
    res=random.randint(7,13)*'#'
    return {'name':name,'res':res}

def number(commodity):
    commodity = commodity.result()
    name=commodity['name']
    size=len(commodity['res'])
    print('%s 制造了 《%s》件商品' %(name,size))

if __name__ == '__main__':
    pool=ThreadPoolExecutor(13)
    pool.submit(produce,'alex').add_done_callback(number)
    pool.submit(produce,'wupeiqi').add_done_callback(number)
    pool.submit(produce,'yuanhao').add_done_callback(number)

alex is producing
wupeiqi is producing
yuanhao is producing
yuanhao 制造了 《9》件商品
alex 制造了 《8》件商品
wupeiqi 制造了 《12》件商品

3、进程池线程池小练习

我们在浏览器上输入一个网址，就能看到一个页面内容，中间经历了那些过程呢：

浏览器本质套接字客户端，套接字服务端在站点，服务器主机上，把目标文件下载到本机

 3.1 提取网页信息（回调函数）

# import requests,time
# requests = requests.get('https://www.cnblogs.com/foremostxl/p/9734442.html')
# print(requests.text)

from concurrent.futures import ThreadPoolExecutor
import requests,time
def get(url):
    request = requests.get(url)
    time.sleep(3)# 模拟网络延迟
    return {'url':url,'content':request.text}
def parse(res):
    res = res.result()
    print('%s parse res is %s' % (res['url'], len(res['content'])))
if __name__ == '__main__':
    urls=[
        'http://www.cnblogs.com/foremostxl',
        'https://www.python.org',
        'https://www.baidu.com',
    ]
    pool = ThreadPoolExecutor(3)
    for url in urls:
        pool.submit(get,url).add_done_callback(parse)

http://www.cnblogs.com/foremostxl parse res is 13105
https://www.baidu.com parse res is 2443
https://www.python.org parse res is 49097

3.2 基于线程池实现套接字通信

服务端：

import socket
from concurrent.futures import ThreadPoolExecutor
def Server(ip_port):
    server = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
    server.bind(ip_port)
    server.listen(5)
    while True:
        conn ,addr = server.accept()
        pool.submit(communicate,conn)
    server.close()
def communicate(conn):
    while True:
        try:
            data = conn.recv(1024)
            conn.send(data.upper())
        except Exception as e:
            print(e)
            break
    conn.close()

if __name__ == '__main__':
    ip_port = ('127.0.0.1',8080)
    pool = ThreadPoolExecutor(2)
    Server(ip_port)

客户端：

import socket
client = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
ip_port = ('127.0.0.1',8080)
client.connect(ip_port)
while True:
    msg = input('>>').strip()
    if not msg:break
    client.send(msg.encode('utf-8'))
    data = client.recv(1024)
    print(data.decode('utf-8'))
client.close()