笔记本实例的生命周期配置花费时间超过了5分钟。
创始人
2024-12-15 20:30:28
0

这是因为笔记本实例的生命周期配置程序没有正常运行或被阻止。为此,可以通过以下代码示例重新运行配置程序:

import boto3

# Set up the Amazon SageMaker client
sm_client = boto3.client('sagemaker')

# Get the Notebook Instance Name
notebook_instance_name = 'your_notebook_instance_name_here'

# Get the Notebook Instance ARN
notebook_instance_response = sm_client.describe_notebook_instance(NotebookInstanceName=notebook_instance_name)
notebook_instance_arn = notebook_instance_response['NotebookInstanceArn']

# Get the Lifecycle Config Name
lifecycle_config_name = notebook_instance_response['NotebookInstanceLifecycleConfigName']

# Stop Notebook Instance
sm_client.stop_notebook_instance(NotebookInstanceName=notebook_instance_name)

# Wait for Notebook Instance to stop
sm_client.get_waiter('notebook_instance_stopped').wait(NotebookInstanceName=notebook_instance_name)

# Start Notebook Instance
sm_client.start_notebook_instance(NotebookInstanceName=notebook_instance_name)

# Wait for Notebook Instance to start
sm_client.get_waiter('notebook_instance_status_ok').wait(NotebookInstanceName=notebook_instance_name)

# Update Lifecycle Config
sm_client.update_notebook_instance_lifecycle_config(NotebookInstanceName=notebook_instance_name, NotebookInstanceLifecycleConfigName=lifecycle_config_name)

# Wait for Notebook Instance to update
sm_client.get_waiter('notebook_instance_lifecycle_configured').wait(NotebookInstanceName=notebook_instance_name)

# Get the Notebook Instance Status
notebook_instance_status_response = sm_client.describe_notebook_instance(NotebookInstanceName=notebook_instance_name)
notebook_instance_status = notebook_instance_status_response['NotebookInstanceStatus']
print('Notebook Instance status is: ' + notebook_instance_status)

这个代码将重启笔记本实例,并更新它的生命周期配置。它也可以检查笔记本实例的状态,以确保配置成功应用。

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