在网上看到了SocketServer模块,于是Server端简化:

#coding:utf-8
import socketserver
class MyTCPHandler(socketserver.BaseRequestHandler):

    def handle(self):
        self.BUFSIZE = 1024
        '''获取request数据并删除头尾空格'''
        self.data = self.request.recv(self.BUFSIZE).strip()
        print("{} wrote:" .format(self.client_address[0]))
        print(self.data.decode('utf8'))
        self.request.sendall(self.data.upper())

if __name__ == '__main__':
    ADDR = HOST, PROT = "192.168.37.129", 1122
    server = socketserver.TCPServer(ADDR, MyTCPHandler)
    print("开始监听 :", ADDR)
    server.serve_forever()

  详情可以查看python的帮助文档,感觉,程序员还是要会这个的,可以结合google看

  这个是python3.5的帮助文档,可以找中文版的

  帮助不小,给大家推荐,

  引用声明:以下摘自  Python 3.5 Manuals (64-bit)

21.21. socketserver — A framework for network servers

Source code: Lib/socketserver.py


The socketserver module simplifies the task of writing network servers.

There are four basic concrete server classes:

class socketserver.TCPServer(server_address, RequestHandlerClass, bind_and_activate=True)

This uses the Internet TCP protocol, which provides for continuous streams of data between the client and server. If bind_and_activate is true, the constructor automatically attempts to invoke server_bind() and server_activate(). The other parameters are passed to the BaseServer base class.

class socketserver.UDPServer(server_address, RequestHandlerClass, bind_and_activate=True)

This uses datagrams, which are discrete packets of information that may arrive out of order or be lost while in transit. The parameters are the same as for TCPServer.

class socketserver.UnixStreamServer(server_address, RequestHandlerClass, bind_and_activate=True)
class socketserver.UnixDatagramServer(server_address, RequestHandlerClass, bind_and_activate=True)

These more infrequently used classes are similar to the TCP and UDP classes, but use Unix domain sockets; they’re not available on non-Unix platforms. The parameters are the same as for TCPServer.

These four classes process requests synchronously; each request must be completed before the next request can be started. This isn’t suitable if each request takes a long time to complete, because it requires a lot of computation, or because it returns a lot of data which the client is slow to process. The solution is to create a separate process or thread to handle each request; the ForkingMixIn and ThreadingMixIn mix-in classes can be used to support asynchronous behaviour.

Creating a server requires several steps. First, you must create a request handler class by subclassing the BaseRequestHandler class and overriding its handle() method; this method will process incoming requests. Second, you must instantiate one of the server classes, passing it the server’s address and the request handler class. Then call the handle_request() or serve_forever() method of the server object to process one or many requests. Finally, call server_close() to close the socket.

When inheriting from ThreadingMixIn for threaded connection behavior, you should explicitly declare how you want your threads to behave on an abrupt shutdown. The ThreadingMixIn class defines an attribute daemon_threads, which indicates whether or not the server should wait for thread termination. You should set the flag explicitly if you would like threads to behave autonomously; the default is False, meaning that Python will not exit until all threads created by ThreadingMixIn have exited.

Server classes have the same external methods and attributes, no matter what network protocol they use.

21.21.1. Server Creation Notes

There are five classes in an inheritance diagram, four of which represent synchronous servers of four types:

+------------+
| BaseServer |
+------------+
      |
      v
+-----------+        +------------------+
| TCPServer |------->| UnixStreamServer |
+-----------+        +------------------+
      |
      v
+-----------+        +--------------------+
| UDPServer |------->| UnixDatagramServer |
+-----------+        +--------------------+

Note that UnixDatagramServer derives from UDPServer, not from UnixStreamServer — the only difference between an IP and a Unix stream server is the address family, which is simply repeated in both Unix server classes.

class socketserver.ForkingMixIn
class socketserver.ThreadingMixIn

Forking and threading versions of each type of server can be created using these mix-in classes. For instance, ThreadingUDPServer is created as follows:

class ThreadingUDPServer(ThreadingMixIn, UDPServer):
    pass

The mix-in class comes first, since it overrides a method defined in UDPServer. Setting the various attributes also changes the behavior of the underlying server mechanism.

class socketserver.ForkingTCPServer
class socketserver.ForkingUDPServer
class socketserver.ThreadingTCPServer
class socketserver.ThreadingUDPServer

These classes are pre-defined using the mix-in classes.

To implement a service, you must derive a class from BaseRequestHandler and redefine its handle() method. You can then run various versions of the service by combining one of the server classes with your request handler class. The request handler class must be different for datagram or stream services. This can be hidden by using the handler subclasses StreamRequestHandler or DatagramRequestHandler.

Of course, you still have to use your head! For instance, it makes no sense to use a forking server if the service contains state in memory that can be modified by different requests, since the modifications in the child process would never reach the initial state kept in the parent process and passed to each child. In this case, you can use a threading server, but you will probably have to use locks to protect the integrity of the shared data.

On the other hand, if you are building an HTTP server where all data is stored externally (for instance, in the file system), a synchronous class will essentially render the service “deaf” while one request is being handled – which may be for a very long time if a client is slow to receive all the data it has requested. Here a threading or forking server is appropriate.

In some cases, it may be appropriate to process part of a request synchronously, but to finish processing in a forked child depending on the request data. This can be implemented by using a synchronous server and doing an explicit fork in the request handler class handle() method.

Another approach to handling multiple simultaneous requests in an environment that supports neither threads nor fork() (or where these are too expensive or inappropriate for the service) is to maintain an explicit table of partially finished requests and to use selectors to decide which request to work on next (or whether to handle a new incoming request). This is particularly important for stream services where each client can potentially be connected for a long time (if threads or subprocesses cannot be used). See asyncore for another way to manage this.

21.21.2. Server Objects

class socketserver.BaseServer(server_address, RequestHandlerClass)

This is the superclass of all Server objects in the module. It defines the interface, given below, but does not implement most of the methods, which is done in subclasses. The two parameters are stored in the respective server_address and RequestHandlerClass attributes.

fileno()

Return an integer file descriptor for the socket on which the server is listening. This function is most commonly passed to selectors, to allow monitoring multiple servers in the same process.

handle_request()

Process a single request. This function calls the following methods in order: get_request(), verify_request(), and process_request(). If the user-provided handle() method of the handler class raises an exception, the server’s handle_error() method will be called. If no request is received within timeout seconds, handle_timeout() will be called and handle_request() will return.

serve_forever(poll_interval=0.5)

Handle requests until an explicit shutdown() request. Poll for shutdown every poll_interval seconds. Ignores the timeout attribute. It also calls service_actions(), which may be used by a subclass or mixin to provide actions specific to a given service. For example, the ForkingMixIn class uses service_actions() to clean up zombie child processes.

Changed in version 3.3: Added service_actions call to the serve_forever method.

service_actions()

This is called in the serve_forever() loop. This method can be overridden by subclasses or mixin classes to perform actions specific to a given service, such as cleanup actions.

New in version 3.3.

shutdown()

Tell the serve_forever() loop to stop and wait until it does.

server_close()

Clean up the server. May be overridden.

address_family

The family of protocols to which the server’s socket belongs. Common examples are socket.AF_INET and socket.AF_UNIX.

RequestHandlerClass

The user-provided request handler class; an instance of this class is created for each request.

server_address

The address on which the server is listening. The format of addresses varies depending on the protocol family; see the documentation for the socket module for details. For Internet protocols, this is a tuple containing a string giving the address, and an integer port number: ('127.0.0.1', 80), for example.

socket

The socket object on which the server will listen for incoming requests.

The server classes support the following class variables:

allow_reuse_address

Whether the server will allow the reuse of an address. This defaults to False, and can be set in subclasses to change the policy.

request_queue_size

The size of the request queue. If it takes a long time to process a single request, any requests that arrive while the server is busy are placed into a queue, up to request_queue_size requests. Once the queue is full, further requests from clients will get a “Connection denied” error. The default value is usually 5, but this can be overridden by subclasses.

socket_type

The type of socket used by the server; socket.SOCK_STREAM and socket.SOCK_DGRAM are two common values.

timeout

Timeout duration, measured in seconds, or None if no timeout is desired. If handle_request() receives no incoming requests within the timeout period, the handle_timeout() method is called.

There are various server methods that can be overridden by subclasses of base server classes like TCPServer; these methods aren’t useful to external users of the server object.

finish_request()

Actually processes the request by instantiating RequestHandlerClass and calling its handle() method.

get_request()

Must accept a request from the socket, and return a 2-tuple containing the new socket object to be used to communicate with the client, and the client’s address.

handle_error(request, client_address)

This function is called if the handle() method of a RequestHandlerClass instance raises an exception. The default action is to print the traceback to standard output and continue handling further requests.

handle_timeout()

This function is called when the timeout attribute has been set to a value other than None and the timeout period has passed with no requests being received. The default action for forking servers is to collect the status of any child processes that have exited, while in threading servers this method does nothing.

process_request(request, client_address)

Calls finish_request() to create an instance of the RequestHandlerClass. If desired, this function can create a new process or thread to handle the request; the ForkingMixIn and ThreadingMixIn classes do this.

server_activate()

Called by the server’s constructor to activate the server. The default behavior for a TCP server just invokes listen() on the server’s socket. May be overridden.

server_bind()

Called by the server’s constructor to bind the socket to the desired address. May be overridden.

verify_request(request, client_address)

Must return a Boolean value; if the value is True, the request will be processed, and if it’s False, the request will be denied. This function can be overridden to implement access controls for a server. The default implementation always returns True.

21.21.3. Request Handler Objects

class socketserver.BaseRequestHandler

This is the superclass of all request handler objects. It defines the interface, given below. A concrete request handler subclass must define a new handle() method, and can override any of the other methods. A new instance of the subclass is created for each request.

setup()

Called before the handle() method to perform any initialization actions required. The default implementation does nothing.

handle()

This function must do all the work required to service a request. The default implementation does nothing. Several instance attributes are available to it; the request is available as self.request; the client address as self.client_address; and the server instance as self.server, in case it needs access to per-server information.

The type of self.request is different for datagram or stream services. For stream services, self.request is a socket object; for datagram services, self.request is a pair of string and socket.

finish()

Called after the handle() method to perform any clean-up actions required. The default implementation does nothing. If setup() raises an exception, this function will not be called.

class socketserver.StreamRequestHandler
class socketserver.DatagramRequestHandler

These BaseRequestHandler subclasses override the setup() and finish() methods, and provide self.rfile and self.wfile attributes. The self.rfile and self.wfile attributes can be read or written, respectively, to get the request data or return data to the client.

21.21.4. Examples

21.21.4.1. socketserver.TCPServer Example

This is the server side:

import socketserver

class MyTCPHandler(socketserver.BaseRequestHandler):
    """
    The request handler class for our server.

    It is instantiated once per connection to the server, and must
    override the handle() method to implement communication to the
    client.
    """

    def handle(self):
        # self.request is the TCP socket connected to the client
        self.data = self.request.recv(1024).strip()
        print("{} wrote:".format(self.client_address[0]))
        print(self.data)
        # just send back the same data, but upper-cased
        self.request.sendall(self.data.upper())

if __name__ == "__main__":
    HOST, PORT = "localhost", 9999

    # Create the server, binding to localhost on port 9999
    server = socketserver.TCPServer((HOST, PORT), MyTCPHandler)

    # Activate the server; this will keep running until you
    # interrupt the program with Ctrl-C
    server.serve_forever()

An alternative request handler class that makes use of streams (file-like objects that simplify communication by providing the standard file interface):

class MyTCPHandler(socketserver.StreamRequestHandler):

    def handle(self):
        # self.rfile is a file-like object created by the handler;
        # we can now use e.g. readline() instead of raw recv() calls
        self.data = self.rfile.readline().strip()
        print("{} wrote:".format(self.client_address[0]))
        print(self.data)
        # Likewise, self.wfile is a file-like object used to write back
        # to the client
        self.wfile.write(self.data.upper())

The difference is that the readline() call in the second handler will call recv() multiple times until it encounters a newline character, while the single recv() call in the first handler will just return what has been sent from the client in one sendall() call.

This is the client side:

import socket
import sys

HOST, PORT = "localhost", 9999
data = " ".join(sys.argv[1:])

# Create a socket (SOCK_STREAM means a TCP socket)
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
    # Connect to server and send data
    sock.connect((HOST, PORT))
    sock.sendall(bytes(data + "\n", "utf-8"))

    # Receive data from the server and shut down
    received = str(sock.recv(1024), "utf-8")

print("Sent:     {}".format(data))
print("Received: {}".format(received))

The output of the example should look something like this:

Server:

$ python TCPServer.py
127.0.0.1 wrote:
b'hello world with TCP'
127.0.0.1 wrote:
b'python is nice'

Client:

$ python TCPClient.py hello world with TCP
Sent:     hello world with TCP
Received: HELLO WORLD WITH TCP
$ python TCPClient.py python is nice
Sent:     python is nice
Received: PYTHON IS NICE

21.21.4.2. socketserver.UDPServer Example

This is the server side:

import socketserver

class MyUDPHandler(socketserver.BaseRequestHandler):
    """
    This class works similar to the TCP handler class, except that
    self.request consists of a pair of data and client socket, and since
    there is no connection the client address must be given explicitly
    when sending data back via sendto().
    """

    def handle(self):
        data = self.request[0].strip()
        socket = self.request[1]
        print("{} wrote:".format(self.client_address[0]))
        print(data)
        socket.sendto(data.upper(), self.client_address)

if __name__ == "__main__":
    HOST, PORT = "localhost", 9999
    server = socketserver.UDPServer((HOST, PORT), MyUDPHandler)
    server.serve_forever()

This is the client side:

import socket
import sys

HOST, PORT = "localhost", 9999
data = " ".join(sys.argv[1:])

# SOCK_DGRAM is the socket type to use for UDP sockets
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)

# As you can see, there is no connect() call; UDP has no connections.
# Instead, data is directly sent to the recipient via sendto().
sock.sendto(bytes(data + "\n", "utf-8"), (HOST, PORT))
received = str(sock.recv(1024), "utf-8")

print("Sent:     {}".format(data))
print("Received: {}".format(received))

The output of the example should look exactly like for the TCP server example.

21.21.4.3. Asynchronous Mixins

To build asynchronous handlers, use the ThreadingMixIn and ForkingMixIn classes.

An example for the ThreadingMixIn class:

import socket
import threading
import socketserver

class ThreadedTCPRequestHandler(socketserver.BaseRequestHandler):

    def handle(self):
        data = str(self.request.recv(1024), 'ascii')
        cur_thread = threading.current_thread()
        response = bytes("{}: {}".format(cur_thread.name, data), 'ascii')
        self.request.sendall(response)

class ThreadedTCPServer(socketserver.ThreadingMixIn, socketserver.TCPServer):
    pass

def client(ip, port, message):
    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
        sock.connect((ip, port))
        sock.sendall(bytes(message, 'ascii'))
        response = str(sock.recv(1024), 'ascii')
        print("Received: {}".format(response))

if __name__ == "__main__":
    # Port 0 means to select an arbitrary unused port
    HOST, PORT = "localhost", 0

    server = ThreadedTCPServer((HOST, PORT), ThreadedTCPRequestHandler)
    ip, port = server.server_address

    # Start a thread with the server -- that thread will then start one
    # more thread for each request
    server_thread = threading.Thread(target=server.serve_forever)
    # Exit the server thread when the main thread terminates
    server_thread.daemon = True
    server_thread.start()
    print("Server loop running in thread:", server_thread.name)

    client(ip, port, "Hello World 1")
    client(ip, port, "Hello World 2")
    client(ip, port, "Hello World 3")

    server.shutdown()
    server.server_close()

The output of the example should look something like this:

$ python ThreadedTCPServer.py
Server loop running in thread: Thread-1
Received: Thread-2: Hello World 1
Received: Thread-3: Hello World 2
Received: Thread-4: Hello World 3

The ForkingMixIn class is used in the same way, except that the server will spawn a new process for each request.

python--DenyHttp项目(1)--socket编程:服务器端进阶版socketServer的更多相关文章

  1. Python之路,Day8 - Socket编程进阶

    Python之路,Day8 - Socket编程进阶   本节内容: Socket语法及相关 SocketServer实现多并发 Socket语法及相关 socket概念 socket本质上就是在2台 ...

  2. 【爬坑】Python 3.6 在 Socket 编程时出现类型错误 TypeError: a bytes-like object is required, not 'str'

    1. 问题描述 Python 3.6 在 Socket 编程时出现错误如下 Traceback (most recent call last): File "F:/share/IdeaPro ...

  3. Python(七)Socket编程、IO多路复用、SocketServer

    本章内容: Socket IO多路复用(select) SocketServer 模块(ThreadingTCPServer源码剖析) Socket socket通常也称作"套接字" ...

  4. Python基础篇【第8篇】: Socket编程(二)SocketServer

    SocketServer 在上一篇文章中我们学习了利用socket模块创建socket通信服务,但细心学习后就会发现利用socket模块创建的服务无法进行多进程的处理,当需要进行大量请求处理时,请求就 ...

  5. iOS Socket编程-C语言版(TCP)

    . TCP Socket编程 TCP是面向连接的,安全可靠的传输层协议.TCP的程序基本框架设计图: TCP的程序基本框架设计图.jpg 注意:Socket通信一定有要服务端和客户端. 1.1 TCP ...

  6. iOS Socket编程-C语言版(UDP)

    . UDP Socket编程 先讲一讲UDP编程,因为比TCP要简单多了.首先,我们需要明白UDP是用户数据报协议,英文名为User Datagram Protocol,它是面向无连接的. 注意:So ...

  7. Python网络编程之socket编程

    什么是Socket? Socket是应用层与TCP/IP协议族通信的中间软件抽象层,它是一组接口.在设计模式中,Socket其实就是一个门面模式,它把复杂的TCP/IP协议族隐藏在Socket接口后面 ...

  8. python 基础(十五) socket编程

    SOCKET TCP协议: 有请求 有响应 称之为 tcp协议 是面向连接的协议 就是在收发数据之前 必须先要建立一个可靠的链接 三次握手 如:网站 UDP协议: 是一个非链接的协议 传输之前不需要键 ...

  9. python【项目】:工资管理(简易版)

    功能要求: 登录系统用户认证通过后才能列出下一级菜单员工信息表 登录系统要有用户登录.注册账号.删除账号.修改密码.退出 登录密码要有加密功能 从info.txt文件读取员工及工资信息,最后通过增加, ...

随机推荐

  1. tomcat运行war包报错,找不到context-root文件

    今天在部署项目的时候遇到了这个问题,查看Tomcat日志/logs/cataline.out这个文件. 里面有一句:can not open .....[context-root.xml], 进过很长 ...

  2. go语言返回变量存储地址

    package main import "fmt" func main() { e:= fmt.Println(e) fmt.Println(&e) //&e; 将 ...

  3. 【Android Developers Training】 94. 创建一个空内容提供器(Content Provider)

    注:本文翻译自Google官方的Android Developers Training文档,译者技术一般,由于喜爱安卓而产生了翻译的念头,纯属个人兴趣爱好. 原文链接:http://developer ...

  4. example001点击隐藏

    <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8&quo ...

  5. create groups 和 create folder reference

      当将文件拖入工程中的时候会出现这个对话框,这个对话框中在Added folders中有两种选择:Create groups 和 Create folder references   这两种的区别是 ...

  6. 最新的极光推送服务器端代码(java服务器后台向手机端自定义推送消息)

    一共两个类 一个Jdpush  一个JpushClientUtil 代码如下   注解都写的很清楚 package com.sm.common.ajpush; import org.slf4j.Log ...

  7. webpack的Hot Module Replacement运行机制

    使用webpack打包,难免会使用Hot Module Replacement功能,该功能能够实现修改.添加或删除前端页面中的模块代码,而且是在页面不刷新的前提下.它究竟是怎么运作的呢?本文主要从调试 ...

  8. java的多线程初体验

    这里以车站售票作为模拟场景,多个票务人员同时出售某一列高铁(G250?)的车票,售票的基本保证有2点: 1.不能售出多于预定限额的车票. 2.不能售出具有相同座位的车票. 初学java,有不当的地方各 ...

  9. 适合初学者的一个分布式环境搭建过程(spring boot + zookeeper + dubbo + mybatis + mysql)

    本人也是才开始接触 阿里巴巴的开源分布式框架 dubbo,因为现在微服务框架 spring boot也非常的火,然后结合dubbo的官网搭建这个开发环境. 一.首先 zookeeper作为集群管理服务 ...

  10. Postgresql_fqw

    Postgresql_fqw 测试环境 Ubuntu 16.04 LTS云主机2台,主机名为pg1(192.168.0.34)和pg2(192.168.0.39). 安装postgresql 下面这个 ...