How to implement real-time statistical charts with real-time updates in PHP and Vue.js-PHP Tutorial-php.cn

How to implement real-time statistical charts with real-time updates in PHP and Vue.js

王林

Release： 2023-08-17 09:32:01

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How to implement real-time statistical charts with real-time updates in PHP and Vue.js

How to implement real-time updated statistical charts in PHP and Vue.js

Overview
With the continuous development of the Internet, the demand for real-time data is also increasing. Come more and more. Real-time statistical charts allow us to monitor data changes in real time and provide strong support for decision-making. This article will introduce how to use PHP and Vue.js to implement a real-time statistical chart that updates in real time.

Technology Stack
When implementing real-time updated statistical charts, PHP is responsible for the processing and transmission of background data, while Vue.js, as the front-end framework, is responsible for real-time rendering and updating of charts.

Steps

Installing and Configuring WebSocket Service
The key to achieving real-time updates is to use WebSocket technology. We can use Ratchet to implement a simple WebSocket server. Execute the following command in the PHP project to install:

$ composer require cboden/ratchet

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After the installation is complete, we can create a WebSocket server class, inherit Ratchet's WebSocketServerInterface, and implement methods such as onMessage, onOpen, and onClose. For specific implementation, please refer to Ratchet’s official documentation.

Start and run the WebSocket service
You can start the WebSocket service in the entry file of the PHP project. When there is a new message, the message is pushed to the front end through WebSocket.

// 入口文件 index.php

use RatchetServerIoServer;
use MyWebSocketServer;

require dirname(__FILE__) . '/vendor/autoload.php';

$server = IoServer::factory(
    new MyWebSocketServer(),
    8080
);
$server->run();

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Front-end page design
To use Vue.js to build a front-end page, you first need to introduce the Vue.js library and Chart.js (an excellent chart library). Then, define some initial chart data in the data property of the Vue instance.

<!DOCTYPE html>
<html>
<head>
    <title>实时统计图表</title>
    <script src="https://cdn.jsdelivr.net/npm/vue/dist/vue.js"></script>
    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
</head>
<body>
    <div id="app">
        <canvas id="chart"></canvas>
    </div>

    <script>
        new Vue({
            el: "#app",
            data: {
                chartData: {
                    labels: [],
                    datasets: []
                }
            },
            mounted() {
                this.initChart();
                this.listenWebSocket();
            },
            methods: {
                initChart() {
                    // 使用Chart.js初始化图表
                    // 可以根据需要自定义图表的样式和数据
                    // 请参考Chart.js的官方文档
                },
                listenWebSocket() {
                    let socket = new WebSocket("ws://localhost:8080");
                    socket.onmessage = (event) => {
                        // 当有新的数据推送时，更新chartData
                        this.chartData.labels.push(event.data.label);
                        this.chartData.datasets.push({
                            label: event.data.label,
                            data: event.data.value
                        });

                        // 更新图表
                        this.updateChart();
                    };
                },
                updateChart() {
                    // 使用Chart.js更新图表
                    // 可以根据需要自定义图表的样式和数据
                    // 请参考Chart.js的官方文档
                }
            }
        });
    </script>
</body>
</html>

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Backend data processing and push
After the WebSocket server receives the data, we need to process the data, and then push the data to the front end through WebSocket.

// MyWebSocketServer.php

use RatchetConnectionInterface;
use RatchetMessageComponentInterface;

class MyWebSocketServer implements MessageComponentInterface
{
    protected $clients;

    public function __construct()
    {
        $this->clients = new SplObjectStorage;
    }

    public function onOpen(ConnectionInterface $conn)
    {
        $this->clients->attach($conn);
    }

    public function onMessage(ConnectionInterface $from, $msg)
    {
        foreach ($this->clients as $client) {
            if ($client !== $from) {
                $client->send(json_encode([
                    'label' => $msg['label'],
                    'value' => $msg['value']
                ]));
            }
        }
    }

    public function onClose(ConnectionInterface $conn)
    {
        $this->clients->detach($conn);
    }

    public function onError(ConnectionInterface $conn, Exception $e)
    {
        $conn->close();
    }
}

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Conclusion
Through the above steps, we successfully implemented a real-time statistical chart that updates in real time. PHP is responsible for processing data and pushing, while Vue.js is responsible for rendering and updating charts in real time. This real-time data display method can be widely used in real-time monitoring, data analysis and other fields to provide timely and accurate data support for decision-making.

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