建立項目互動事件追蹤器

您必須先建立項目互動事件追蹤器，才能記錄項目互動事件。事件追蹤器會將新事件資料導向至資料集群組中的項目互動資料集。

您可以使用 Amazon Personalize 主控台或 CreateEventTracker API 作業建立事件追蹤器。您可以將包含目標項目互動資料集之資料集群組的 Amazon 資源名稱 (ARN) 做為參數傳遞。如需使用 Amazon Personalize 主控台建立事件追蹤器的指示，請參閱創建事件跟踪器（控制台）。

事件追蹤器包含追蹤 ID，您可以在使用PutEvents作業時將其當做參數傳遞。然後，Amazon Personalize 會將新事件資料附加到您在事件追蹤器中指定之資料集群組的項目互動資料集。

注意

您只能為資料集群組建立一個項目互動事件追蹤器。

Python

import boto3

personalize = boto3.client('personalize')

response = personalize.create_event_tracker(
    name='MovieClickTracker',
    datasetGroupArn='arn:aws:personalize:us-west-2:acct-id:dataset-group/MovieClickGroup'
)
print(response['eventTrackerArn'])
print(response['trackingId'])

事件追蹤器 ARN 和追蹤 ID 顯示，例如：

{
    "eventTrackerArn": "arn:aws:personalize:us-west-2:acct-id:event-tracker/MovieClickTracker",
    "trackingId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

AWS CLI

aws personalize create-event-tracker \
    --name MovieClickTracker \
    --dataset-group-arn arn:aws:personalize:us-west-2:acct-id:dataset-group/MovieClickGroup

事件追蹤器 ARN 和追蹤 ID 顯示，例如：

{
    "eventTrackerArn": "arn:aws:personalize:us-west-2:acct-id:event-tracker/MovieClickTracker",
    "trackingId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

SDK for JavaScript v3

// Get service clients module and commands using ES6 syntax.
import { CreateEventTrackerCommand } from
  "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the event tracker's parameters.
export const createEventTrackerParam = {
  datasetGroupArn: 'DATASET_GROUP_ARN', /* required */
  name: 'NAME', /* required */
}

export const run = async () => {
  try {
    const response = await personalizeClient.send(new CreateEventTrackerCommand(createEventTrackerParam));
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

SDK for Java 2.x

public static String createEventTracker(PersonalizeClient personalizeClient, 
                                      String eventTrackerName, 
                                      String datasetGroupArn) {
        
    String eventTrackerId = null;
    String eventTrackerArn = null;
    long maxTime = 3 * 60 * 60; 
    long waitInMilliseconds = 30 * 1000;
    String status;
    
    try {
        CreateEventTrackerRequest createEventTrackerRequest = CreateEventTrackerRequest.builder()
            .name(eventTrackerName)
            .datasetGroupArn(datasetGroupArn)
            .build();
       
        CreateEventTrackerResponse createEventTrackerResponse = 
            personalizeClient.createEventTracker(createEventTrackerRequest);
        
        eventTrackerArn = createEventTrackerResponse.eventTrackerArn();
        eventTrackerId = createEventTrackerResponse.trackingId();
        
        System.out.println("Event tracker ARN: " + eventTrackerArn);
        System.out.println("Event tracker ID: " + eventTrackerId);

        maxTime = Instant.now().getEpochSecond() + maxTime;

        DescribeEventTrackerRequest describeRequest = DescribeEventTrackerRequest.builder()
            .eventTrackerArn(eventTrackerArn)
            .build();
        
        while (Instant.now().getEpochSecond() < maxTime) {

            status = personalizeClient.describeEventTracker(describeRequest).eventTracker().status();
            System.out.println("EventTracker status: " + status);

            if (status.equals("ACTIVE") || status.equals("CREATE FAILED")) {
                break;
            }
            try {
                Thread.sleep(waitInMilliseconds);
            } catch (InterruptedException e) {
                System.out.println(e.getMessage());
            }
        }
        return eventTrackerId;
    }
    catch (PersonalizeException e){
        System.out.println(e.awsErrorDetails().errorMessage());
        System.exit(1);
    }
    return eventTrackerId;
}