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July 11, 2021 18:15
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Run SageMaker notebook from AWS Lambda
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| import boto3 | |
| import time | |
| from botocore.vendored import requests | |
| from websocket_client import websocket | |
| def lambda_handler(event, context): | |
| sm_client = boto3.client('sagemaker') | |
| notebook_instance_name = 'automate-nb' | |
| url = sm_client.create_presigned_notebook_instance_url(NotebookInstanceName=notebook_instance_name)['AuthorizedUrl'] | |
| url_tokens = url.split('/') | |
| http_proto = url_tokens[0] | |
| http_hn = url_tokens[2].split('?')[0].split('#')[0] | |
| s = requests.Session() | |
| r = s.get(url) | |
| cookies = "; ".join(key + "=" + value for key, value in s.cookies.items()) | |
| ws = websocket.create_connection( | |
| "wss://{}/terminals/websocket/1".format(http_hn), | |
| cookie=cookies, | |
| host=http_hn, | |
| origin=http_proto + "//" + http_hn | |
| ) | |
| ws.send("""[ "stdin", "jupyter nbconvert --execute --to notebook --inplace /home/ec2-user/SageMaker/hello_world.ipynb --ExecutePreprocessor.kernel_name=python3 --ExecutePreprocessor.timeout=1500\\r" ]""") | |
| # time.sleep(1) | |
| ws.close() | |
| return None |
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