Home Backend Development Python Tutorial Python Server Programming: Building an Asynchronous Multi-User Chat Room with Twisted

Python Server Programming: Building an Asynchronous Multi-User Chat Room with Twisted

Jun 18, 2023 pm 08:57 PM
python Asynchronous programming twisted

Python Server Programming: Using Twisted to Build an Asynchronous Multi-User Chat Room

In modern computer science, network applications have become one of the most important parts of it. Server-side programming is an integral part of these network applications. As a high-level programming language, Python has very powerful server-side programming capabilities. Twisted is an asynchronous network framework that allows us to write efficient, event-driven network applications through Python. In this article, we will explore how to build an asynchronous multi-user chat room using Twisted.

1. What is Twisted?

Twisted is a Python framework for writing event-based web applications and clients. It is an asynchronous network framework that is very suitable for writing large-scale, highly concurrent network applications, such as web servers, chat programs, mail servers, etc.

2. Twisted chat room architecture

First let us take a look at the architecture of the Twisted chat room:

  • The Twisted server listens to a TCP port and waits for the client to connect .
  • Whenever a client connects successfully, the server creates a new ChatProtocol instance.
  • Each ChatProtocol instance represents a client connection and handles all input and output of the client.
  • When a ChatProtocol instance receives a new message, it forwards the message to all other clients.

3. Implement Twisted chat room

Next, let us use Twisted to implement our chat room! First, we need to install the Twisted library:

pip install twisted
Copy after login

Then, we need to define a ChatProtocol class to handle all connections and messages:

from twisted.internet.protocol import Protocol

class ChatProtocol(Protocol):

    def __init__(self, factory):
        self.factory = factory
        self.name = None

    def connectionMade(self):
        self.factory.clients.add(self)
        self.factory.notifyAllClients("New user connected.")

    def connectionLost(self, reason):
        self.factory.clients.remove(self)
        self.factory.notifyAllClients("User disconnected.")

    def dataReceived(self, data):
        message = data.decode().rstrip()
        
        if self.name is None:
            self.name = message
            self.factory.notifyAllClients("{} joined the room.".format(self.name))
        else:
            self.factory.notifyAllClients("{}: {}".format(self.name, message))

    def sendMessage(self, message):
        self.transport.write(message.encode())
Copy after login

In the above code, we define a ChatProtocol Class, which inherits from the Protocol class, this class defines methods for handling connections and messages.

In the __init__ method, we initialize the variables factory and name. factory is a factory class used to manage all client connections, and name represents the name of the client. When a client connects successfully, name is None.

In the connectionMade method, we add a new client connection and send notification messages to all other clients.

In the connectionLost method, we remove the disconnected client and send notification messages to all other clients.

In the dataReceived method, we process the received message. If the client's name is None, then we set this message to the client's name and send a notification message to all other clients. Otherwise, we send this message to all other clients.

Finally, in the sendMessage method, we send the message to the client.

Now, we need to define a ChatFactory class to manage all client connections:

from twisted.internet.protocol import Factory

class ChatFactory(Factory):

    def __init__(self):
        self.clients = set()

    def buildProtocol(self, addr):
        return ChatProtocol(self)

    def notifyAllClients(self, message):
        for client in self.clients:
            client.sendMessage(message)
Copy after login

In the above code, we define a ChatFactory class, which inherits from the Factory class, This class defines methods for creating new ChatProtocol instances.

In the __init__ method, we initialize the variable clients, which is used to store all client connections.

In the buildProtocol method, we create a new ChatProtocol instance and pass self to it.

Finally, in the notifyAllClients method, we send a message to all clients.

Now that we have defined the ChatProtocol class and ChatFactory class, let us create a Twisted server and use ChatFactory as its factory:

from twisted.internet import reactor

factory = ChatFactory()
reactor.listenTCP(1234, factory)
reactor.run()
Copy after login

In the above code, we first Create a ChatFactory instance and pass it to the Twisted server's listenTCP method. This method indicates that the server will listen for all connections on TCP port 1234. Finally, we start the Twisted server so it starts listening for connections and processing messages.

4. Using Twisted Chat Room

Now, we have successfully built an asynchronous multi-user chat room using Twisted. Let's put it to the test! First, we need to run the server-side Python code:

python chat_server.py
Copy after login

Then, we need to run the client-side Python code in multiple terminal windows:

import socket

sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect(("localhost", 1234))

sock.sendall("Alice
".encode())
sock.sendall("Hello!
".encode())

sock.sendall("Bob
".encode())
sock.sendall("Hi there!
".encode())

sock.sendall("Charlie
".encode())
sock.sendall("How are you guys?
".encode())
Copy after login

In the above code, we first create a TCP connects to port 1234 on the server side and then sends the name of each client, along with the message they want to send. Running this code in multiple terminal windows allows multiple users to join the chat room at the same time and communicate with each other in real time.

Summary

In this article, we introduced the Twisted framework and how to use it to build asynchronous multi-user chat rooms. Through this example, we experienced Twisted's powerful asynchronous network programming capabilities and the ability to write efficient event-driven network applications through Python.

The above is the detailed content of Python Server Programming: Building an Asynchronous Multi-User Chat Room with Twisted. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Will R.E.P.O. Have Crossplay?
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Code Examples and Comparison PHP and Python: Code Examples and Comparison Apr 15, 2025 am 12:07 AM

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python vs. JavaScript: Community, Libraries, and Resources Python vs. JavaScript: Community, Libraries, and Resources Apr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

How is the GPU support for PyTorch on CentOS How is the GPU support for PyTorch on CentOS Apr 14, 2025 pm 06:48 PM

Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:

Detailed explanation of docker principle Detailed explanation of docker principle Apr 14, 2025 pm 11:57 PM

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

MiniOpen Centos compatibility MiniOpen Centos compatibility Apr 14, 2025 pm 05:45 PM

MinIO Object Storage: High-performance deployment under CentOS system MinIO is a high-performance, distributed object storage system developed based on the Go language, compatible with AmazonS3. It supports a variety of client languages, including Java, Python, JavaScript, and Go. This article will briefly introduce the installation and compatibility of MinIO on CentOS systems. CentOS version compatibility MinIO has been verified on multiple CentOS versions, including but not limited to: CentOS7.9: Provides a complete installation guide covering cluster configuration, environment preparation, configuration file settings, disk partitioning, and MinI

How to operate distributed training of PyTorch on CentOS How to operate distributed training of PyTorch on CentOS Apr 14, 2025 pm 06:36 PM

PyTorch distributed training on CentOS system requires the following steps: PyTorch installation: The premise is that Python and pip are installed in CentOS system. Depending on your CUDA version, get the appropriate installation command from the PyTorch official website. For CPU-only training, you can use the following command: pipinstalltorchtorchvisiontorchaudio If you need GPU support, make sure that the corresponding version of CUDA and cuDNN are installed and use the corresponding PyTorch version for installation. Distributed environment configuration: Distributed training usually requires multiple machines or single-machine multiple GPUs. Place

How to choose the PyTorch version on CentOS How to choose the PyTorch version on CentOS Apr 14, 2025 pm 06:51 PM

When installing PyTorch on CentOS system, you need to carefully select the appropriate version and consider the following key factors: 1. System environment compatibility: Operating system: It is recommended to use CentOS7 or higher. CUDA and cuDNN:PyTorch version and CUDA version are closely related. For example, PyTorch1.9.0 requires CUDA11.1, while PyTorch2.0.1 requires CUDA11.3. The cuDNN version must also match the CUDA version. Before selecting the PyTorch version, be sure to confirm that compatible CUDA and cuDNN versions have been installed. Python version: PyTorch official branch

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

See all articles