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Operation and maintenance experience of PHP REST API in the education platform
Home Backend Development PHP Tutorial Operation and maintenance experience of PHP REST API in education platform

Operation and maintenance experience of PHP REST API in education platform

Jun 02, 2024 pm 07:21 PM
php rest api

Experience in PHP REST API operation and maintenance in education platform: Data standardization: Use JSON Schema to standardize the data structure to ensure API robustness and interoperability. Error handling: Define unified error codes and messages, and use HTTP status codes to indicate error levels. Response caching: Use Redis to implement caching to improve the performance of frequently requested API endpoints. Load balancing: Use Nginx reverse proxy to distribute requests to multiple servers to improve processing capabilities. Monitoring: Use Prometheus to collect API indicators, such as number of requests, latency, etc., to ensure API stability.

PHP REST API在教育平台中的运维经验

Operation and maintenance experience of PHP REST API in the education platform

When developing the education platform, we use the RESTful API architecture to achieve the separation of the front and back ends. The API is implemented using the PHP framework Laravel. After a period of operation and maintenance, we summed up some experience.

Data standardization

The data passed in the API should follow a unified format, including request parameters, response data, etc. We have defined JSON Schema in the platform to standardize the data structure and ensure the robustness and interoperability of the API.

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use Neomerx\JsonApi\Schema\SchemaProvider;

use Neomerx\JsonApi\Encoder\Encoder;

 

$schema = (new SchemaProvider)->createSchema('user', [

    'attributes' => [

        'name' => SchemaProvider::attrString('name'),

        'email' => SchemaProvider::attrString('email'),

    ],

]);

 

$encoder = new Encoder();

$data = $encoder->encodeData([

    'user' => [

        'id' => '1',

        'name' => 'John Doe',

        'email' => 'john@example.com',

    ],

], $schema);

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Error handling

API may have errors due to various reasons, such as client errors, server errors, etc. We define a unified set of error codes and messages in the API and use standard HTTP status codes to indicate error levels.

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// 自定义异常类

class ApiException extends \Exception {

    public function getStatusCode() {

        return $this->statusCode;

    }

 

    public function getErrorMessage() {

        return $this->errorMessage;

    }

}

 

// 控制器中处理错误

public function getUser($id) {

    try {

        // ... 获取用户数据代码

 

        return response()->json($user);

    } catch (ApiException $e) {

        return response()->json(['error' => $e->getErrorMessage()], $e->getStatusCode());

    } catch (\Exception $e) {

        return response()->json(['error' => 'Internal Server Error'], 500);

    }

}

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Response Caching

For frequently requested API endpoints, caching responses can significantly improve performance. We use Redis as cache storage in the platform and use Laravel Cache middleware to implement caching.

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// 控制器中启用缓存

public function getUserCacheable($id) {

    return Cache::remember('user-' . $id, 60, function() {

        // ... 获取用户数据代码

    });

}

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Load Balancing

As the number of users increases, a single API server may have difficulty handling requests. We implement load balancing by using Nginx reverse proxy to distribute requests to multiple servers.

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upstream api_servers {

    server server1.example.com:80;

    server server2.example.com:80;

}

 

server {

    location /api {

        proxy_pass http://api_servers;

    }

}

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Monitoring

In order to ensure the stability of the API, we need to monitor it. We use Prometheus to collect API metrics, such as number of requests, latency, etc.

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// Prometheus指标类

class ApiMetrics {

    public static function incrementRequestCount($endpoint) {

        $metric = Prometheus::counter('api_request_count', 'Number of API requests');

        $metric->setLabels(['endpoint' => $endpoint]);

        $metric->inc();

    }

 

    public static function setLatency($endpoint, $latency) {

        $metric = Prometheus::histogram('api_latency', 'API latency in milliseconds');

        $metric->setLabels(['endpoint' => $endpoint]);

        $metric->observe($latency);

    }

}

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Practical case

We use PHP REST API in the education platform to achieve the following functions:

  • User management: create, obtain , update and delete users
  • Course management: create, obtain, update and delete courses
  • Assignment management: create, obtain, update and delete assignments
  • Grade management: create, Get, update and delete grades

By following best practices such as data standardization, error handling, response caching, load balancing and monitoring, our PHP REST API exhibits excellent performance in education platforms, Robustness and maintainability.

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