Platform For AI:Appeler un service via une connexion directe VPC

Python SDK

1. Installez ou mettez à niveau le SDK :

      pip install -U eas-prediction --user

2. Appelez le service en utilisant le format de requête TensorFlow. Pour les autres formats, consultez le Guide du SDK Python.

   Le constructeur PredictClient nécessite le point de terminaison de connexion directe VPC et le nom du service. Appelez set_endpoint_type(ENDPOINT_TYPE_DIRECT) pour activer la connexion directe VPC, puis appelez init() pour initialiser.

      #!/usr/bin/env python
      from eas_prediction import PredictClient
      from eas_prediction import StringRequest
      from eas_prediction import TFRequest
      from eas_prediction import ENDPOINT_TYPE_DIRECT
   
      # VPC direct connection endpoint: {Uid}.vpc.{RegionId}.pai-eas.aliyuncs.com
      # Replace with your account ID and region
      ENDPOINT = "123**********.vpc.cn-shanghai.pai-eas.aliyuncs.com"
   
      # Replace with your EAS service name
      SERVICE_NAME = "mnist_saved_model_example"
   
      # Replace with your service token from the service details page
      # Store tokens in environment variables or KMS, not in code
      TOKEN = "M2FhNjJlZDBmMzBmMzE4NjFiNzZhMmUxY2IxZjkyMDczNzAzYjFi****"
   
      if __name__ == '__main__':
          client = PredictClient(ENDPOINT, SERVICE_NAME)
          client.set_token(TOKEN)
          client.set_endpoint_type(ENDPOINT_TYPE_DIRECT)  # Enable VPC direct connection
          client.init()
   
          req = TFRequest('predict_images')
          req.add_feed('images', [1, 784], TFRequest.DT_FLOAT, [1] * 784)
          resp = client.predict(req)
          print(resp)

Java SDK

1. Ajoutez la dépendance Maven au fichier pom.xml. Pour obtenir la dernière version, consultez le dépôt Maven. Pour plus de détails, voir le Guide du SDK Java.

      <dependency>
        <groupId>com.aliyun.openservices.eas</groupId>
        <artifactId>eas-sdk</artifactId>
        <version>2.0.20</version>
      </dependency>

2. Appelez le service.

      import com.aliyun.openservices.eas.predict.http.PredictClient;
      import com.aliyun.openservices.eas.predict.http.HttpConfig;
   
      public class TestString {
          public static void main(String[] args) throws Exception {
              // Create and initialize the client once at startup
              // Do not create a new client for each request
              PredictClient client = new PredictClient(new HttpConfig());
   
              // Replace with your service token from the service details page
              client.setToken("YWFlMDYyZDNmNTc3M2I3MzMwYmY0MmYwM2Y2MTYxMTY4NzBkNzdj****");
   
              // Set VPC direct connection endpoint: {Uid}.vpc.{RegionId}.pai-eas.aliyuncs.com
              // Replace with your account ID and region
              client.setDirectEndpoint("123**********.vpc.cn-shanghai.pai-eas.aliyuncs.com");
   
              // Replace with your EAS service name
              client.setModelName("scorecard_pmml_example");
   
              // Define input string
              String request = "[{\"money_credit\": 3000000}, {\"money_credit\": 10000}]";
              System.out.println(request);
   
              // Send prediction request
              try {
                  String response = client.predict(request);
                  System.out.println(response);
              } catch (Exception e) {
                  e.printStackTrace();
              }
   
              // Shut down client when finished
              client.shutdown();
          }
      }

Go SDK

Le gestionnaire de packages Go télécharge automatiquement le SDK lors de la compilation. Pour plus de détails, consultez le Guide du SDK Go.

package main

import (
    "fmt"
    "github.com/pai-eas/eas-golang-sdk/eas"
)

func main() {
    // VPC direct connection endpoint: {Uid}.vpc.{RegionId}.pai-eas.aliyuncs.com
    // Replace with your account ID, region, and service name
    client := eas.NewPredictClient("123**********.vpc.cn-shanghai.pai-eas.aliyuncs.com", "scorecard_pmml_example")

    // Replace with your service token from the service details page
    client.SetToken("YWFlMDYyZDNmNTc3M2I3MzMwYmY0MmYwM2Y2MTYxMTY4NzBkNzdj****")
    client.SetEndpointType(eas.EndpointTypeDirect)
    client.Init()

    req := "[{\"fea1\": 1, \"fea2\": 2}]"
    for i := 0; i < 100; i++ {
        resp, err := client.StringPredict(req)
        if err != nil {
            fmt.Printf("failed to predict: %v\n", err.Error())
        } else {
            fmt.Printf("%v\n", resp)
        }
    }
}