Workspace url for machine learning experiment notebook

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I am running a machine learning experiment in Databricks and I want to obtain the workspace URL for certain uses.

I know how to manually obtain the workspace URL of notebook from this link https://docs.microsoft.com/en-us/azure/databricks/workspace/per-workspace-urls

Similar to how you can obtain the path of your notebook by

dbutils.notebook.entry_point.getDbutils().notebook().getContext().notebookPath().get()

How do I programmatically obtain the notebook's URL?

azure-databricks databricks python-3.x
1 Answers

There are two things available:

  • Browser host name - it gives you just host name, without http/https schema, but it's really a name that you see in the browser:
dbutils.notebook.entry_point.getDbutils().notebook().getContext() \
  .browserHostName().get()
  • API URL: base URL with HTTPS schema that you can use to call APIs:
dbutils.notebook.entry_point.getDbutils().notebook().getContext() \
  .apiUrl().get()

P.S. I really prefer to convert that information into a Python dict that it's easier to investigate and use. I use code like this:

import json
ctx = json.loads(dbutils.notebook.entry_point.getDbutils().notebook() \
  .getContext().toJson())
ctx
Alex_Ott_186270
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