Use PHP to develop and implement data preprocessing and compression transmission of Baidu Wenxinyiyan API interface

Using PHP to develop and implement data preprocessing and compression transmission of Baidu Wenxin Yiyan API interface

With the development of the Internet, people's demand for interfaces is also increasing more. The Baidu Wenxin Yiyan API interface is a very popular interface, which can provide some interesting sentences, famous sayings and aphorisms. In order to improve the efficiency and performance of the interface, we can perform some preprocessing and compression transmission on the interface data, thereby speeding up data transmission and reducing bandwidth usage.

First of all, we need to apply for an API Key on the Baidu open platform so that we can use the Baidu Wenxin Yiyan API interface. After the application is successful, we can obtain a Key, which will serve as the credential for our request interface.

Next, we use PHP development to implement preprocessing and compression transmission of interface data. First, we send a request using the cURL library and include the API Key as part of the request header to ensure that our request is processed correctly.

// 请求URL
$url = 'https://api.lwl12.com/hitokoto/v1';

// 请求头
$headers = [
    'X-Bce-Date: ' . date('Y-m-d H:i:s'),
    'X-Bce-Key: ' . $apiKey
];

// 创建cURL会话
$ch = curl_init();

// 设置请求的URL和请求头
curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

// 执行请求
$response = curl_exec($ch);

// 关闭cURL会话
curl_close($ch);

After the interface request is successful, we can get a response result in JSON format. To reduce the size of data transfer, we can compress the response results. In PHP, we can use the gzencode function to compress JSON strings.

// 压缩响应结果
$compressedResponse = gzencode($response, 9);

// 设置响应头，指定压缩格式和内容编码
header('Content-Type: application/json');
header('Content-Encoding: gzip');
header('Content-Length: ' . strlen($compressedResponse));

// 输出压缩后的响应结果
echo $compressedResponse;

Through the above code, we have implemented the preprocessing and compression transmission of Baidu Wenxin Yiyan API interface data.

It is worth noting that in order to decompress the response result normally, we need to decompress the response on the client side. In JavaScript, we can use the pako library to decompress. The following is a simple decompression example:

// 发送请求
fetch('https://your-api-url')
    .then(response => response.blob())
    .then(blob => {
        // 创建一个FileReader对象
        const reader = new FileReader();
        
        // 读取响应数据并解压缩
        reader.onload = function() {
            const compressedData = new Uint8Array(reader.result);
            const uncompressedData = pako.inflate(compressedData, { to: 'string' });
            
            // 处理解压缩后的数据
            console.log(uncompressedData);
        };
        
        // 将响应数据转化为ArrayBuffer
        reader.readAsArrayBuffer(blob);
    });

In the above code, we use JavaScript's fetchAPI to send a request and convert the response result into a BlobObject. Then, we use the FileReader object to read the Blob data into an ArrayBuffer. Finally, use the pako.inflate method to decompress the compressed data into a string and process it.

Through the above PHP code example, we successfully implemented the preprocessing and compression transmission of Baidu Wenxin Yiyan API interface data, and provided the corresponding JavaScript decompression code. This can not only speed up the response speed of the interface, but also reduce the size of data transmission and improve the user experience. Of course, we can also perform other processing on the interface data according to specific needs to meet different business needs.

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