Connect JupyterLab notebook on Google Cloud Platform to BitBucket repository

[Pradeep Varanasi]

Hi, 

I have Python code files running in jupyterlab on the Google Cloud Platform and would like to create/push the code to a company-managed BitBucket repository. 

Any architecture/workflows/training documents would be helpful in establishing the connection. 

Regards,
Pradeep 

[Theodora Boudale]

Hi Pradeep and welcome to the community!

Atlassian doesn't have an integration that can do this. However, I see that Google Cloud Platform has documentation on how to save a notebook to GitHub:

• https://cloud.google.com/vertex-ai/docs/workbench/user-managed/save-to-github

It may be possible to use the steps outlined in this document in order to save the notebook to a Bitbucket repo, instead of a GitHub repo. I haven't tested this and I'm not sure if it will work, but you can give it a try (you could reach out to the support team of Google Cloud Platform to make sure).

If you read the document and if you have any questions about how any of the steps listed for GitHub can be performed in Bitbucket Cloud, please feel free to let me know. I will provide below some links about authentication in Bitbucket Cloud:

• If you need to provide credentials for your Bitbucket account, you can use your username (found here: https://bitbucket.org/account/settings/) and an app password https://support.atlassian.com/bitbucket-cloud/docs/app-passwords/
• If you want to use SSH, you can add the public SSH key to the settings of your account by following the steps here: https://support.atlassian.com/bitbucket-cloud/docs/set-up-personal-ssh-keys-on-linux/#Provide-Bitbucket-Cloud-with-your-public-key

Kind regards,
Theodora

[Pradeep Varanasi]

Hi Theodora, thanks a lot for taking the time to answer the question. This is really helpful info. Let me try to replicate the scenario on my end.  

[Theodora Boudale]

Hi Pradeep.

You are very welcome, please feel free to let me know if you need anything further.

Kind regards,
Theodora