Use PHP code to implement the request caching and caching strategy of Baidu Wenxin Yiyan API interface

Use PHP code to implement the request caching and caching strategy of Baidu Wenxin Yiyan API interface

When using Baidu Wenxin Yiyan API interface, in order to improve the request For efficiency and reducing the load on the API service, we can consider using cache to store the data that has been requested, and read the data directly from the cache on the next request to avoid repeated network requests. In this article, we will use PHP code to implement the request caching and caching strategy of Baidu Wenxin Yiyan API interface.

Caching is a technology that stores data in memory or other high-speed storage media, which can greatly increase the speed of data reading. In PHP, we can use caching libraries to implement data caching operations, such as Memcached or Redis. Next, we will use Memcached as our cache storage medium.

First, we need to install and configure the Memcached extension to ensure that PHP can connect and operate the Memcached server normally. After the installation is complete, we can use the following code to connect to the Memcached server:

$memcached = new Memcached();
$memcached->addServer('localhost', 11211);

Next, we need to define a function to obtain and cache the data of Baidu Wenxin Yiyan API. This function can accept a parameter to specify the cache key name. If the specified key name exists in the cache, the data is read directly from the cache and returned; otherwise, the API request is executed and the returned data is stored in the cache. The following is a sample code implementation:

function getBaiduContent($cacheKey)
{
    $memcached = new Memcached();
    $memcached->addServer('localhost', 11211);

    // 尝试从缓存中读取数据
    $content = $memcached->get($cacheKey);

    if (empty($content)) {
        // 缓存中不存在数据，执行API请求
        $url = 'https://api.lovelive.tools/api/SweetNothings/1';

        $ch = curl_init();
        curl_setopt($ch, CURLOPT_URL, $url);
        curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
        $result = curl_exec($ch);
        curl_close($ch);

        // 将API返回的数据存储到缓存中，设定有效期为600秒
        $memcached->set($cacheKey, $result, 600);

        $content = $result;
    }

    return $content;
}

In the above code, we use $cacheKey as the cache key name and try to obtain data from the cache. If the data does not exist in the cache, use the curl library to perform the API request, store the returned data in the cache, and set the cache validity period to 600 seconds.

Finally, we can call the getBaiduContent function to obtain the data of Baidu Wenxin Yiyan API and output it to the page. The following is a simple example:

$cacheKey = 'baidu_content';

$content = getBaiduContent($cacheKey);

echo $content;

Through the above code, we implemented the request caching and caching strategy of Baidu Wenxin Yiyan API. Each time the getBaiduContent function is called, it will first try to read data from the cache. If the data does not exist in the cache, the API request will be executed and the returned data will be saved in the cache. In this way, in subsequent requests, the data is read directly from the cache without having to access the API server again, which improves the efficiency and performance of the request.

To sum up, using PHP code to implement the request caching and caching strategy of Baidu Wenxin Yiyan API can greatly reduce the frequency of requests to API services, improve the efficiency of requests and reduce the load. Through reasonable caching strategies, we can store data in high-speed storage media to reduce data reading time. In actual applications, we can set appropriate cache validity periods and cache key names according to actual needs to meet different business needs.

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