Use Workerman to develop a high-performance intelligent question answering system

Use Workerman to develop a high-performance intelligent question and answer system

The intelligent question and answer system is an important implementation method of a type of artificial intelligence application. It can perform tasks based on questions raised by users. Semantic analysis and natural language processing to give accurate and reasonable answers. In order to implement a high-performance intelligent question and answer system, we can use Workerman, PHP's open source network programming framework.

Workerman is a high-performance network programming framework based on PHP. It is developed using pure PHP and does not need to install any extensions. It is characterized by high performance, high concurrency, low latency, support for long connections and distributed deployment. Therefore, using Workerman to develop an intelligent question and answer system can meet high concurrency and real-time requirements.

The following will introduce in detail the steps to use Workerman to develop an intelligent question and answer system:

Step 1: Install Workerman

First, we need to download the official website of Workerman (http:// www.workerman.net/) Download the latest version of Workerman source code and extract it to the project directory.

Step 2: Create a question and answer interface

In the project directory, create a file named question.php to receive user questions and return processing results. The following is a simple example:

<?php
require_once __DIR__ . '/Workerman/Autoloader.php';

use WorkermanWorker;

// 创建一个Worker监听2345端口，使用http协议通讯
$http_worker = new Worker('http://0.0.0.0:2345');

// 启动4个进程对外提供服务
$http_worker->count = 4;

// 接收到http请求时的回调函数
$http_worker->onMessage = function ($http_connection, $request) {
    // 解析用户发送的问题
    $question = $request->get['question'];

    // 调用智能问答模块，获取回答
    $answer = smartQa($question);

    // 回答用户的问题
    $http_connection->send($answer);
};

// 运行worker
Worker::runAll();

Step 3: Implement the intelligent question and answer module

In the project directory, create a file named smartqa.php to implement the core algorithm of intelligent question and answer . Here is a simple keyword matching as an example:

<?php
function smartQa($question) {
    // 在这里实现智能问答的核心算法

    // 模拟一个简单的关键词匹配
    $keywords = [
        '你好' => '你好，有什么可以帮助你的吗？',
        '天气' => '今天的天气晴朗，适合出行。',
        '时间' => '现在是' . date('Y-m-d H:i:s'),
    ];

    // 根据关键词匹配问题类型并给出回答
    foreach ($keywords as $keyword => $answer) {
        if (strpos($question, $keyword) !== false) {
            return $answer;
        }
    }

    // 如果没有匹配到关键词，则返回默认回答
    return '我不知道你在说什么，请换个问题。';
}

Step 4: Start the server

Switch to the project directory on the command line and run the following command to start the server:

php question.php start

So far, we have completed all the steps to develop a high-performance intelligent question and answer system using Workerman. Users can ask questions to the intelligent question and answer system by accessing the IP address and port number of the server. The system will perform keyword matching based on the user's questions and give corresponding answers.

Summary

The above are the detailed steps for using Workerman to develop a high-performance intelligent question and answer system. By using Workerman, a high-performance network programming framework, we can implement an intelligent question and answer system that can meet high concurrency and real-time requirements. Of course, this is just a simple example. In actual projects, algorithm optimization and function expansion need to be carried out according to specific needs. I hope this article can be helpful to everyone in developing intelligent question and answer systems.

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