python 之socket 网络编程

时间:2023-12-21 14:46:32

socket通常也称作"套接字",用于描述IP地址和端口,是一个通信链的句柄,应用程序通常通过"套接字"向网络发出请求或者应答网络请求。

socket起源于Unix,而Unix/Linux基本哲学之一就是“一切皆文件”,对于文件用【打开】【读写】【关闭】模式来操作。socket就是该模式的一个实现,socket即是一种特殊的文件,一些socket函数就是对其进行的操作(读/写IO、打开、关闭)

python 之socket     网络编程

#!/usr/bin/env python
# -*- coding:utf-8 -*- import socket ip_port = ('127.0.0.1',9999) sk = socket.socket()
sk.bind(ip_port)
sk.listen(5) while True:
print 'server waiting...'
conn,addr = sk.accept() client_data = conn.recv(1024)
print client_data
conn.sendall('不要回答,不要回答,不要回答') conn.close() socket server

  

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import socket
ip_port = ('127.0.0.1',9999) sk = socket.socket()
sk.connect(ip_port) sk.sendall('请求占领地球') server_reply = sk.recv(1024)
print server_reply sk.close() socket client

 web服务 

#!/usr/bin/env python
#coding:utf-8
import socket
 
def handle_request(client):
    buf = client.recv(1024)
    client.send("HTTP/1.1 200 OK\r\n\r\n")
    client.send("Hello, World")
 
def main():
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    sock.bind(('localhost',8080))
    sock.listen(5)
 
    while True:
        connection, address = sock.accept()
        handle_request(connection)
        connection.close()
 
if __name__ == '__main__':
  main()

  

sk.bind(address)

  s.bind(address) 将套接字绑定到地址。address地址的格式取决于地址族。在AF_INET下,以元组(host,port)的形式表示地址。

sk.listen(backlog)

  开始监听传入连接。backlog指定在拒绝连接之前,可以挂起的最大连接数量。

backlog等于5,表示内核已经接到了连接请求,但服务器还没有调用accept进行处理的连接个数最大为5
      这个值不能无限大,因为要在内核中维护连接队列

sk.setblocking(bool)

  是否阻塞(默认True),如果设置False,那么accept和recv时一旦无数据,则报错。

sk.accept()

  接受连接并返回(conn,address),其中conn是新的套接字对象,可以用来接收和发送数据。address是连接客户端的地址。

  接收TCP 客户的连接(阻塞式)等待连接的到来

sk.connect(address)

  连接到address处的套接字。一般,address的格式为元组(hostname,port),如果连接出错,返回socket.error错误。

sk.connect_ex(address)

  同上,只不过会有返回值,连接成功时返回 0 ,连接失败时候返回编码,例如:10061

sk.close()

  关闭套接字

sk.recv(bufsize[,flag])

  接受套接字的数据。数据以字符串形式返回,bufsize指定最多可以接收的数量。flag提供有关消息的其他信息,通常可以忽略。

sk.recvfrom(bufsize[.flag])

  与recv()类似,但返回值是(data,address)。其中data是包含接收数据的字符串,address是发送数据的套接字地址。

sk.send(string[,flag])

  将string中的数据发送到连接的套接字。返回值是要发送的字节数量,该数量可能小于string的字节大小。即:可能未将指定内容全部发送。

sk.sendall(string[,flag])

  将string中的数据发送到连接的套接字,但在返回之前会尝试发送所有数据。成功返回None,失败则抛出异常。

内部通过递归调用send,将所有内容发送出去。

sk.sendto(string[,flag],address)

  将数据发送到套接字,address是形式为(ipaddr,port)的元组,指定远程地址。返回值是发送的字节数。该函数主要用于UDP协议。

sk.settimeout(timeout)

  设置套接字操作的超时期,timeout是一个浮点数,单位是秒。值为None表示没有超时期。一般,超时期应该在刚创建套接字时设置,因为它们可能用于连接的操作(如 client 连接最多等待5s )

sk.getpeername()

  返回连接套接字的远程地址。返回值通常是元组(ipaddr,port)。

sk.getsockname()

  返回套接字自己的地址。通常是一个元组(ipaddr,port)

sk.fileno()

  套接字的文件描述符

import socket
ip_port = ('127.0.0.1',9999)
sk = socket.socket(socket.AF_INET,socket.SOCK_DGRAM,0)
sk.bind(ip_port) while True:
data = sk.recv(1024)
print data import socket
ip_port = ('127.0.0.1',9999) sk = socket.socket(socket.AF_INET,socket.SOCK_DGRAM,0)
while True:
inp = raw_input('数据:').strip()
if inp == 'exit':
break
sk.sendto(inp,ip_port) sk.close() UDP Demo

  实例:智能机器人

#!/usr/bin/env python
# -*- coding:utf-8 -*- import socket ip_port = ('127.0.0.1',8888)
sk = socket.socket()
sk.bind(ip_port)
sk.listen(5) while True:
conn,address = sk.accept()
conn.sendall('欢迎致电 10086,请输入1xxx,0转人工服务.')
Flag = True
while Flag:
data = conn.recv(1024)
if data == 'exit':
Flag = False
elif data == '0':
conn.sendall('通过可能会被录音.balabala一大推')
else:
conn.sendall('请重新输入.')
conn.close() 服务端

  

#!/usr/bin/env python
# -*- coding:utf-8 -*- import socket ip_port = ('127.0.0.1',8005)
sk = socket.socket()
sk.connect(ip_port)
sk.settimeout(5) while True:
data = sk.recv(1024)
print 'receive:',data
inp = raw_input('please input:')
sk.sendall(inp)
if inp == 'exit':
break sk.close() 客户端

IO多路复用

I/O多路复用指:通过一种机制,可以监视多个描述符,一旦某个描述符就绪(一般是读就绪或者写就绪),能够通知程序进行相应的读写操作。

Linux

Linux中的 select,poll,epoll 都是IO多路复用的机制。

Python中有一个select模块,其中提供了:select、poll、epoll三个方法,分别调用系统的 select,poll,epoll 从而实现IO多路复用。

Windows Python:
    提供: select
Mac Python:
    提供: select
Linux Python:
    提供: select、poll、epoll

  

注意:网络操作、文件操作、终端操作等均属于IO操作,对于windows只支持Socket操作,其他系统支持其他IO操作,但是无法检测 普通文件操作 自动上次读取是否已经变化。

对于select方法:

句柄列表11, 句柄列表22, 句柄列表33 = select.select(句柄序列1, 句柄序列2, 句柄序列3, 超时时间)
 
参数: 可接受四个参数(前三个必须)
返回值:三个列表
 
select方法用来监视文件句柄,如果句柄发生变化,则获取该句柄。
1、当 参数1 序列中的句柄发生可读时(accetp和read),则获取发生变化的句柄并添加到 返回值1 序列中
2、当 参数2 序列中含有句柄时,则将该序列中所有的句柄添加到 返回值2 序列中
3、当 参数3 序列中的句柄发生错误时,则将该发生错误的句柄添加到 返回值3 序列中
4、当 超时时间 未设置,则select会一直阻塞,直到监听的句柄发生变化
   当 超时时间 = 1时,那么如果监听的句柄均无任何变化,则select会阻塞 1 秒,之后返回三个空列表,如果监听的句柄有变化,则直接执行。

  

#!/usr/bin/env python
# -*- coding:utf-8 -*- import socket
import select sk1 = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sk1.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
sk1.bind(('127.0.0.1',8002))
sk1.listen(5)
sk1.setblocking(0) inputs = [sk1,] while True:
readable_list, writeable_list, error_list = select.select(inputs, [], inputs, 1)
for r in readable_list:
# 当客户端第一次连接服务端时
if sk1 == r:
print 'accept'
request, address = r.accept()
request.setblocking(0)
inputs.append(request)
# 当客户端连接上服务端之后,再次发送数据时
else:
received = r.recv(1024)
# 当正常接收客户端发送的数据时
if received:
print 'received data:', received
# 当客户端关闭程序时
else:
inputs.remove(r) sk1.close() 利用select实现伪同时处理多个Socket客户端请求:服务端
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import socket ip_port = ('127.0.0.1',8002)
sk = socket.socket()
sk.connect(ip_port) while True:
inp = raw_input('please input:')
sk.sendall(inp)
sk.close() 利用select实现伪同时处理多个Socket客户端请求:客户端

 此处的Socket服务端相比与原生的Socket,他支持当某一个请求不再发送数据时,服务器端不会等待而是可以去处理其他请求的数据。

但是,如果每个请求的耗时比较长时,select版本的服务器端也无法完成同时操作。

#!/usr/bin/env python
#coding:utf8 '''
服务器的实现 采用select的方式
''' import select
import socket
import sys
import Queue #创建套接字并设置该套接字为非阻塞模式 server = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
server.setblocking(0) #绑定套接字
server_address = ('localhost',10000)
print >>sys.stderr,'starting up on %s port %s'% server_address
server.bind(server_address) #将该socket变成服务模式
#backlog等于5,表示内核已经接到了连接请求,但服务器还没有调用accept进行处理的连接个数最大为5
#这个值不能无限大,因为要在内核中维护连接队列 server.listen(5) #初始化读取数据的监听列表,最开始时希望从server这个套接字上读取数据
inputs = [server] #初始化写入数据的监听列表,最开始并没有客户端连接进来,所以列表为空 outputs = [] #要发往客户端的数据
message_queues = {}
while inputs:
print >>sys.stderr,'waiting for the next event'
#调用select监听所有监听列表中的套接字,并将准备好的套接字加入到对应的列表中
readable,writable,exceptional = select.select(inputs,outputs,inputs)#列表中的socket 套接字 如果是文件呢?
#监控文件句柄有某一处发生了变化 可写 可读 异常属于Linux中的网络编程
#属于同步I/O操作,属于I/O复用模型的一种
#rlist--等待到准备好读
#wlist--等待到准备好写
#xlist--等待到一种异常
#处理可读取的套接字 '''
如果server这个套接字可读,则说明有新链接到来
此时在server套接字上调用accept,生成一个与客户端通讯的套接字
并将与客户端通讯的套接字加入inputs列表,下一次可以通过select检查连接是否可读
然后在发往客户端的缓冲中加入一项,键名为:与客户端通讯的套接字,键值为空队列
select系统调用是用来让我们的程序监视多个文件句柄(file descrīptor)的状态变化的。程序会停在select这里等待,
直到被监视的文件句柄有某一个或多个发生了状态改变
''' '''
若可读的套接字不是server套接字,有两种情况:一种是有数据到来,另一种是链接断开
如果有数据到来,先接收数据,然后将收到的数据填入往客户端的缓存区中的对应位置,最后
将于客户端通讯的套接字加入到写数据的监听列表:
如果套接字可读.但没有接收到数据,则说明客户端已经断开。这时需要关闭与客户端连接的套接字
进行资源清理
''' for s in readable:
if s is server:
connection,client_address = s.accept()
print >>sys.stderr,'connection from',client_address
connection.setblocking(0)#设置非阻塞
inputs.append(connection)
message_queues[connection] = Queue.Queue()
else:
data = s.recv(1024)
if data:
print >>sys.stderr,'received "%s" from %s'% \
(data,s.getpeername())
message_queues[s].put(data)
if s not in outputs:
outputs.append(s)
else:
print >>sys.stderr,'closing',client_address
if s in outputs:
outputs.remove(s)
inputs.remove(s)
s.close()
del message_queues[s] #处理可写的套接字
'''
在发送缓冲区中取出响应的数据,发往客户端。
如果没有数据需要写,则将套接字从发送队列中移除,select中不再监视
''' for s in writable:
try:
next_msg = message_queues[s].get_nowait() except Queue.Empty:
print >>sys.stderr,' ',s,getpeername(),'queue empty'
outputs.remove(s)
else:
print >>sys.stderr,'sending "%s" to %s'% \
(next_msg,s.getpeername())
s.send(next_msg) #处理异常情况 for s in exceptional:
for s in exceptional:
print >>sys.stderr,'exception condition on',s.getpeername()
inputs.remove(s)
if s in outputs:
outputs.remove(s)
s.close()
del message_queues[s] 基于select实现socket服务端

SocketServer模块

  SocketServer内部使用 IO多路复用 以及 “多线程” 和 “多进程” ,从而实现并发处理多个客户端请求的Socket服务端。即:每个客户端请求

连接到服务器时,Socket服务端都会在服务器是创建一个“线程”或者“进程” 专门负责处理当前客户端的所有请求。

python 之socket     网络编程

ThreadingTCPServer

ThreadingTCPServer实现的Soket服务器内部会为每个client创建一个 “线程”,该线程用来和客户端进行交互。

1、ThreadingTCPServer基础

使用ThreadingTCPServer:

  • 创建一个继承自 SocketServer.BaseRequestHandler 的类
  • 类中必须定义一个名称为 handle 的方法
  • 启动ThreadingTCPServer

2、ThreadingTCPServer源码剖析

ThreadingTCPServer的类图关系如下:

python 之socket     网络编程

内部调用流程为:

  • 启动服务端程序
  • 执行 TCPServer.__init__ 方法,创建服务端Socket对象并绑定 IP 和 端口
  • 执行 BaseServer.__init__ 方法,将自定义的继承自SocketServer.BaseRequestHandler 的类 MyRequestHandle赋值给 self.RequestHandlerClass
  • 执行 BaseServer.server_forever 方法,While 循环一直监听是否有客户端请求到达 ...
  • 当客户端连接到达服务器
  • 执行 ThreadingMixIn.process_request 方法,创建一个 “线程” 用来处理请求
  • 执行 ThreadingMixIn.process_request_thread 方法
  • 执行 BaseServer.finish_request 方法,执行 self.RequestHandlerClass()  即:执行 自定义 MyRequestHandler 的构造方法(自动调用基类BaseRequestHandler的构造方法,在该构造方法中又会调用 MyRequestHandler的handle方法)

ThreadingTCPServer相关源码:

class BaseServer:

    """Base class for server classes.

    Methods for the caller:

    - __init__(server_address, RequestHandlerClass)
- serve_forever(poll_interval=0.5)
- shutdown()
- handle_request() # if you do not use serve_forever()
- fileno() -> int # for select() Methods that may be overridden: - server_bind()
- server_activate()
- get_request() -> request, client_address
- handle_timeout()
- verify_request(request, client_address)
- server_close()
- process_request(request, client_address)
- shutdown_request(request)
- close_request(request)
- handle_error() Methods for derived classes: - finish_request(request, client_address) Class variables that may be overridden by derived classes or
instances: - timeout
- address_family
- socket_type
- allow_reuse_address Instance variables: - RequestHandlerClass
- socket """ timeout = None def __init__(self, server_address, RequestHandlerClass):
"""Constructor. May be extended, do not override."""
self.server_address = server_address
self.RequestHandlerClass = RequestHandlerClass
self.__is_shut_down = threading.Event()
self.__shutdown_request = False def server_activate(self):
"""Called by constructor to activate the server. May be overridden. """
pass def serve_forever(self, poll_interval=0.5):
"""Handle one request at a time until shutdown. Polls for shutdown every poll_interval seconds. Ignores
self.timeout. If you need to do periodic tasks, do them in
another thread.
"""
self.__is_shut_down.clear()
try:
while not self.__shutdown_request:
# XXX: Consider using another file descriptor or
# connecting to the socket to wake this up instead of
# polling. Polling reduces our responsiveness to a
# shutdown request and wastes cpu at all other times.
r, w, e = _eintr_retry(select.select, [self], [], [],
poll_interval)
if self in r:
self._handle_request_noblock()
finally:
self.__shutdown_request = False
self.__is_shut_down.set() def shutdown(self):
"""Stops the serve_forever loop. Blocks until the loop has finished. This must be called while
serve_forever() is running in another thread, or it will
deadlock.
"""
self.__shutdown_request = True
self.__is_shut_down.wait() # The distinction between handling, getting, processing and
# finishing a request is fairly arbitrary. Remember:
#
# - handle_request() is the top-level call. It calls
# select, get_request(), verify_request() and process_request()
# - get_request() is different for stream or datagram sockets
# - process_request() is the place that may fork a new process
# or create a new thread to finish the request
# - finish_request() instantiates the request handler class;
# this constructor will handle the request all by itself def handle_request(self):
"""Handle one request, possibly blocking. Respects self.timeout.
"""
# Support people who used socket.settimeout() to escape
# handle_request before self.timeout was available.
timeout = self.socket.gettimeout()
if timeout is None:
timeout = self.timeout
elif self.timeout is not None:
timeout = min(timeout, self.timeout)
fd_sets = _eintr_retry(select.select, [self], [], [], timeout)
if not fd_sets[0]:
self.handle_timeout()
return
self._handle_request_noblock() def _handle_request_noblock(self):
"""Handle one request, without blocking. I assume that select.select has returned that the socket is
readable before this function was called, so there should be
no risk of blocking in get_request().
"""
try:
request, client_address = self.get_request()
except socket.error:
return
if self.verify_request(request, client_address):
try:
self.process_request(request, client_address)
except:
self.handle_error(request, client_address)
self.shutdown_request(request) def handle_timeout(self):
"""Called if no new request arrives within self.timeout. Overridden by ForkingMixIn.
"""
pass def verify_request(self, request, client_address):
"""Verify the request. May be overridden. Return True if we should proceed with this request. """
return True def process_request(self, request, client_address):
"""Call finish_request. Overridden by ForkingMixIn and ThreadingMixIn. """
self.finish_request(request, client_address)
self.shutdown_request(request) def server_close(self):
"""Called to clean-up the server. May be overridden. """
pass def finish_request(self, request, client_address):
"""Finish one request by instantiating RequestHandlerClass."""
self.RequestHandlerClass(request, client_address, self) def shutdown_request(self, request):
"""Called to shutdown and close an individual request."""
self.close_request(request) def close_request(self, request):
"""Called to clean up an individual request."""
pass def handle_error(self, request, client_address):
"""Handle an error gracefully. May be overridden. The default is to print a traceback and continue. """
print '-'*40
print 'Exception happened during processing of request from',
print client_address
import traceback
traceback.print_exc() # XXX But this goes to stderr!
print '-'*40 BaseServer

BaseServer

class TCPServer(BaseServer):

    """Base class for various socket-based server classes.

    Defaults to synchronous IP stream (i.e., TCP).

    Methods for the caller:

    - __init__(server_address, RequestHandlerClass, bind_and_activate=True)
- serve_forever(poll_interval=0.5)
- shutdown()
- handle_request() # if you don't use serve_forever()
- fileno() -> int # for select() Methods that may be overridden: - server_bind()
- server_activate()
- get_request() -> request, client_address
- handle_timeout()
- verify_request(request, client_address)
- process_request(request, client_address)
- shutdown_request(request)
- close_request(request)
- handle_error() Methods for derived classes: - finish_request(request, client_address) Class variables that may be overridden by derived classes or
instances: - timeout
- address_family
- socket_type
- request_queue_size (only for stream sockets)
- allow_reuse_address Instance variables: - server_address
- RequestHandlerClass
- socket """ address_family = socket.AF_INET socket_type = socket.SOCK_STREAM request_queue_size = 5 allow_reuse_address = False def __init__(self, server_address, RequestHandlerClass, bind_and_activate=True):
"""Constructor. May be extended, do not override."""
BaseServer.__init__(self, server_address, RequestHandlerClass)
self.socket = socket.socket(self.address_family,
self.socket_type)
if bind_and_activate:
try:
self.server_bind()
self.server_activate()
except:
self.server_close()
raise def server_bind(self):
"""Called by constructor to bind the socket. May be overridden. """
if self.allow_reuse_address:
self.socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.socket.bind(self.server_address)
self.server_address = self.socket.getsockname() def server_activate(self):
"""Called by constructor to activate the server. May be overridden. """
self.socket.listen(self.request_queue_size) def server_close(self):
"""Called to clean-up the server. May be overridden. """
self.socket.close() def fileno(self):
"""Return socket file number. Interface required by select(). """
return self.socket.fileno() def get_request(self):
"""Get the request and client address from the socket. May be overridden. """
return self.socket.accept() def shutdown_request(self, request):
"""Called to shutdown and close an individual request."""
try:
#explicitly shutdown. socket.close() merely releases
#the socket and waits for GC to perform the actual close.
request.shutdown(socket.SHUT_WR)
except socket.error:
pass #some platforms may raise ENOTCONN here
self.close_request(request) def close_request(self, request):
"""Called to clean up an individual request."""
request.close() TCPServer

TCPServer

class ThreadingMixIn:
"""Mix-in class to handle each request in a new thread.""" # Decides how threads will act upon termination of the
# main process
daemon_threads = False def process_request_thread(self, request, client_address):
"""Same as in BaseServer but as a thread. In addition, exception handling is done here. """
try:
self.finish_request(request, client_address)
self.shutdown_request(request)
except:
self.handle_error(request, client_address)
self.shutdown_request(request) def process_request(self, request, client_address):
"""Start a new thread to process the request."""
t = threading.Thread(target = self.process_request_thread,
args = (request, client_address))
t.daemon = self.daemon_threads
t.start() ThreadingMixIn

ThreadingMixIn

class ThreadingTCPServer(ThreadingMixIn, TCPServer): pass

ThreadingTCPServer

RequestHandler相关源码:

class BaseRequestHandler:

    """Base class for request handler classes.

    This class is instantiated for each request to be handled.  The
constructor sets the instance variables request, client_address
and server, and then calls the handle() method. To implement a
specific service, all you need to do is to derive a class which
defines a handle() method. The handle() method can find the request as self.request, the
client address as self.client_address, and the server (in case it
needs access to per-server information) as self.server. Since a
separate instance is created for each request, the handle() method
can define arbitrary other instance variariables. """ def __init__(self, request, client_address, server):
self.request = request
self.client_address = client_address
self.server = server
self.setup()
try:
self.handle()
finally:
self.finish() def setup(self):
pass def handle(self):
pass def finish(self):
pass SocketServer.BaseRequestHandler

SocketServer.BaseRequestHandler

实例:

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import SocketServer class MyServer(SocketServer.BaseRequestHandler): def handle(self):
# print self.request,self.client_address,self.server
conn = self.request
conn.sendall('欢迎致电 10086,请输入1xxx,0转人工服务.')
Flag = True
while Flag:
data = conn.recv(1024)
if data == 'exit':
Flag = False
elif data == '':
conn.sendall('通过可能会被录音.balabala一大推')
else:
conn.sendall('请重新输入.') if __name__ == '__main__':
server = SocketServer.ThreadingTCPServer(('127.0.0.1',8009),MyServer)
server.serve_forever() 服务端

服务端

#!/usr/bin/env python
# -*- coding:utf-8 -*- import socket ip_port = ('127.0.0.1',8009)
sk = socket.socket()
sk.connect(ip_port)
sk.settimeout(5) while True:
data = sk.recv(1024)
print 'receive:',data
inp = raw_input('please input:')
sk.sendall(inp)
if inp == 'exit':
break sk.close() 客户端

客户端

源码精简:

import socket
import threading
import select def process(request, client_address):
print request,client_address
conn = request
conn.sendall('欢迎致电 10086,请输入1xxx,0转人工服务.')
flag = True
while flag:
data = conn.recv(1024)
if data == 'exit':
flag = False
elif data == '':
conn.sendall('通过可能会被录音.balabala一大推')
else:
conn.sendall('请重新输入.') sk = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sk.bind(('127.0.0.1',8002))
sk.listen(5) while True:
r, w, e = select.select([sk,],[],[],1)
print 'looping'
if sk in r:
print 'get request'
request, client_address = sk.accept()
t = threading.Thread(target=process, args=(request, client_address))
t.daemon = False
t.start() sk.close()

如精简代码可以看出,SocketServer的ThreadingTCPServer之所以可以同时处理请求得益于 select 和Threading 两个东西,其实本质上就是在服务器端为每一个客户端创建一个线程,当前线程用来处理对应客户端的请求,所以,可以支持同时n个客户端链接(长连接)。

ForkingTCPServer

ForkingTCPServer和ThreadingTCPServer的使用和执行流程基本一致,只不过在内部分别为请求者建立 “线程”  和 “进程”。

基本使用:

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import SocketServer class MyServer(SocketServer.BaseRequestHandler): def handle(self):
# print self.request,self.client_address,self.server
conn = self.request
conn.sendall('欢迎致电 10086,请输入1xxx,0转人工服务.')
Flag = True
while Flag:
data = conn.recv(1024)
if data == 'exit':
Flag = False
elif data == '':
conn.sendall('通过可能会被录音.balabala一大推')
else:
conn.sendall('请重新输入.') if __name__ == '__main__':
server = SocketServer.ForkingTCPServer(('127.0.0.1',8009),MyServer)
server.serve_forever() 服务端

服务端

#!/usr/bin/env python
# -*- coding:utf-8 -*- import socket ip_port = ('127.0.0.1',8009)
sk = socket.socket()
sk.connect(ip_port)
sk.settimeout(5) while True:
data = sk.recv(1024)
print 'receive:',data
inp = raw_input('please input:')
sk.sendall(inp)
if inp == 'exit':
break sk.close() 客户端

客户端

以上ForkingTCPServer只是将 ThreadingTCPServer 实例中的代码:

server = SocketServer.ThreadingTCPServer(('127.0.0.1',8009),MyRequestHandler)
变更为:
server = SocketServer.ForkingTCPServer(('127.0.0.1',8009),MyRequestHandler)

SocketServer的ThreadingTCPServer之所以可以同时处理请求得益于 select 和 os.fork 两个东西,其实本质上就是在服务器端为每一个客户端创建一个进程,当前新创建的进程用来处理对应客户端的请求,所以,可以支持同时n个客户端链接(长连接)。

源码剖析参考 ThreadingTCPServer

Twisted

Twisted是一个事件驱动的网络框架,其中包含了诸多功能,例如:网络协议、线程、数据库管理、网络操作、电子邮件等。

事件驱动

简而言之,事件驱动分为二个部分:第一,注册事件;第二,触发事件。

自定义事件驱动框架,命名为:“弑君者”:

#!/usr/bin/env python
# -*- coding:utf-8 -*- # event_drive.py event_list = [] def run():
for event in event_list:
obj = event()
obj.execute() class BaseHandler(object):
"""
用户必须继承该类,从而规范所有类的方法(类似于接口的功能)
"""
def execute(self):
raise Exception('you must overwrite execute') 最牛逼的事件驱动框架

最牛逼的事件驱动框架

程序员使用“弑君者框架”:

#!/usr/bin/env python
# -*- coding:utf-8 -*- from source import event_drive class MyHandler(event_drive.BaseHandler): def execute(self):
print 'event-drive execute MyHandler' event_drive.event_list.append(MyHandler)
event_drive.run()

上述代码,事件驱动只不过是框架规定了执行顺序,程序员在使用框架时,可以向原执行顺序中注册“事件”,从而在框架执行时可以出发已注册的“事件”。

基于事件驱动Socket

#!/usr/bin/env python
# -*- coding:utf-8 -*-
 
from twisted.internet import protocol
from twisted.internet import reactor
 
class Echo(protocol.Protocol):
    def dataReceived(self, data):
        self.transport.write(data)
 
def main():
    factory = protocol.ServerFactory()
    factory.protocol = Echo
 
    reactor.listenTCP(8000,factory)
    reactor.run()
 
if __name__ == '__main__':
    main()

  python 之socket     网络编程

程序执行流程:

  • 运行服务端程序
  • 创建Protocol的派生类Echo
  • 创建ServerFactory对象,并将Echo类封装到其protocol字段中
  • 执行reactor的 listenTCP 方法,内部使用 tcp.Port 创建socket server对象,并将该对象添加到了 reactor的set类型的字段 _read 中
  • 执行reactor的 run 方法,内部执行 while 循环,并通过 select 来监视 _read 中文件描述符是否有变化,循环中...
  • 客户端请求到达
  • 执行reactor的 _doReadOrWrite 方法,其内部通过反射调用 tcp.Port 类的 doRead 方法,内部 accept 客户端连接并创建Server对象实例(用于封装客户端socket信息)和 创建 Echo 对象实例(用于处理请求) ,然后调用 Echo 对象实例的 makeConnection 方法,创建连接。
  • 执行 tcp.Server 类的 doRead 方法,读取数据,
  • 执行 tcp.Server 类的 _dataReceived 方法,如果读取数据内容为空(关闭链接),否则,出发 Echo 的 dataReceived 方法
  • 执行 Echo 的 dataReceived 方法

从源码可以看出,上述实例本质上使用了事件驱动的方法 和 IO多路复用的机制来进行Socket的处理。

#!/usr/bin/env python
# -*- coding:utf-8 -*- from twisted.internet import reactor, protocol
from twisted.web.client import getPage
from twisted.internet import reactor
import time class Echo(protocol.Protocol): def dataReceived(self, data):
deferred1 = getPage('http://cnblogs.com')
deferred1.addCallback(self.printContents) deferred2 = getPage('http://baidu.com')
deferred2.addCallback(self.printContents) for i in range(2):
time.sleep(1)
print 'execute ',i def execute(self,data):
self.transport.write(data) def printContents(self,content):
print len(content),content[0:100],time.time() def main(): factory = protocol.ServerFactory()
factory.protocol = Echo reactor.listenTCP(8000,factory)
reactor.run() if __name__ == '__main__':
main() 异步IO操作

异步IO操作