Question 80887 in Docker Question posted in
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How to associate a Jupyter Workspace Custom Container with it's Vertex AI Workbench instance – Docker

I have multiple User Managed Vertex AI Workbench instances running in my GCP Project.
Each can run one or more Jupyter Workspaces by clicking OPEN JUPYTERLAB. Each Jupyter lab opens in a new browser tab.
From one of the Jupyter lab tabs, how can I tell which workbench instance or VM is hosting it?

EDIT: The first answer by @kiran mathew is not working for me because I have a custom docker container and that solution returns the hostname of the container which is not set to the Workench instance name. I changed the title of the question to be specific to custom containers.

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  1. Chosen as BEST ANSWER
    0

    Using the URL solution in the comment by @KiranMathew, here is a function to return the workbook name that works with custom docker containers.

        def get_workbook_name():
        url = "http://metadata.google.internal/computeMetadata/v1/instance/name"
        req = urllib.request.Request(url)
        req.add_header("Metadata-Flavor", "Google")
        workbook_name = urllib.request.urlopen(req).read().decode()
        return workbook_name

    Still anticipating a simpler approach will be available as foreshadowed by @gogasca

    You can also get the project id with: http://metadata.google.internal/computeMetadata/v1/project/project-id


  2. 0

    Python code:

    import socket 
instance_name = socket.gethostname() 
print(instance_name)

    I have two notebooks stacckkk and stackoverflow2 . When I ran the above code in these two notebook individually I got the below results.

    enter image description here

    Result:

    1st Notebook

    enter image description here

    2nd Notebook

    enter image description here

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