Building a real-time public opinion monitoring service based on Swoole

Building a real-time public opinion monitoring service based on Swoole

With the rise of social media, the public is paying more and more attention to public opinion. Public opinion monitoring has become one of the important tasks of enterprises and government departments. In order to monitor public opinion information in real time, we can use Swoole to build a high-performance real-time public opinion monitoring service.

Swoole is a coroutine network communication engine based on PHP language, which provides a series of high-performance components and APIs related to network communication. By utilizing Swoole's multi-process and multi-thread model, we can easily implement real-time public opinion monitoring services.

First, we need to set up a Swoole TCP server to receive external public opinion data push. The following is a simple sample code:

<?php
$server = new SwooleServer('0.0.0.0', 9501, SWOOLE_PROCESS, SWOOLE_SOCK_TCP);

// 设置服务器配置
$server->set([
    'worker_num' => 4,  // 设置工作进程数
]);

// 注册事件回调函数
$server->on('Receive', function ($server, $fd, $reactor_id, $data) {
    // 处理接收到的舆情数据
    // 这里示意将舆情数据存入数据库
    $db = new PDO('mysql:host=localhost;dbname=test', 'root', '123456');
    $db->exec("INSERT INTO messages (`content`) VALUES ('$data')");
    
    // 返回响应给客户端
    $server->send($fd, 'Received!');
});

// 启动服务器
$server->start();

The above code creates a TCP server and sets up 4 worker processes. When the server receives data, the Receive event callback function is triggered. In this callback function, we process the received public opinion data, store it in the database, and return the response to the client.

Next, we can use Swoole's timer function to regularly query the latest public opinion data from the database and analyze and process it. The following is a sample code:

<?php
$timer = SwooleTimer::tick(5000, function () {
    // 这里示意从数据库中查询最新的舆情数据
    $db = new PDO('mysql:host=localhost;dbname=test', 'root', '123456');
    $stmt = $db->query("SELECT content FROM messages ORDER BY id DESC LIMIT 10");
    $messages = $stmt->fetchAll(PDO::FETCH_ASSOC);
    
    // 分析处理舆情数据
    foreach ($messages as $message) {
        // 这里示意进行舆情数据的分析处理，例如情感分析、关键词提取等
        // ...
        
        // 将处理结果存入数据库或发送给其他系统进行进一步处理
    }
});

The above code uses Swoole's timer function to query the latest public opinion data from the database every 5 seconds and process it. In actual scenarios, we can customize the time interval of the timer according to needs.

Through the above code examples, we have implemented a basic framework of a real-time public opinion monitoring service based on Swoole. Of course, according to specific needs, we can also expand more functions, such as adding filtering of public opinion data, keyword matching and alarming, etc. In addition, in order to improve the availability and performance of the service, we can also optimize the code, such as using connection pool technology, introducing message queues, etc.

In short, using Swoole to build a real-time public opinion monitoring service can provide high-performance and real-time public opinion data processing capabilities to meet the needs of enterprises and government departments for public opinion monitoring.

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