取消数据标签作业

使用 cancel_data_labeling_job 方法取消数据标签作业。

代码示例

Java

在尝试此示例之前，请按照《Vertex AI 快速入门：使用客户端库》中的 Java 设置说明执行操作。如需了解详情，请参阅 Vertex AI Java API 参考文档。

如需向 Vertex AI 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.aiplatform.v1.DataLabelingJobName;
import com.google.cloud.aiplatform.v1.JobServiceClient;
import com.google.cloud.aiplatform.v1.JobServiceSettings;
import java.io.IOException;

public class CancelDataLabelingJobSample {
  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String project = "YOUR_PROJECT_ID";
    String dataLabelingJobId = "YOUR_DATA_LABELING_JOB_ID";
    cancelDataLabelingJob(project, dataLabelingJobId);
  }

  static void cancelDataLabelingJob(String project, String dataLabelingJobId) throws IOException {
    JobServiceSettings jobServiceSettings =
        JobServiceSettings.newBuilder()
            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
            .build();

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
      String location = "us-central1";

      DataLabelingJobName dataLabelingJobName =
          DataLabelingJobName.of(project, location, dataLabelingJobId);
      jobServiceClient.cancelDataLabelingJob(dataLabelingJobName);
      System.out.println("Cancelled Data labeling job");
    }
  }
}

Python

在尝试此示例之前，请按照《Vertex AI 快速入门：使用客户端库》中的 Python 设置说明执行操作。如需了解详情，请参阅 Vertex AI Python API 参考文档。

如需向 Vertex AI 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

from google.cloud import aiplatform

def cancel_data_labeling_job_sample(
    project: str,
    data_labeling_job_id: str,
    location: str = "us-central1",
    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
    # The AI Platform services require regional API endpoints.
    client_options = {"api_endpoint": api_endpoint}
    # Initialize client that will be used to create and send requests.
    # This client only needs to be created once, and can be reused for multiple requests.
    client = aiplatform.gapic.JobServiceClient(client_options=client_options)
    name = client.data_labeling_job_path(
        project=project, location=location, data_labeling_job=data_labeling_job_id
    )
    response = client.cancel_data_labeling_job(name=name)
    print("response:", response)

后续步骤

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