Behind Reverse Proxy

[enahwe]

I tried many possibilities by using Apache Reverse Proxy in order to expose dtale widgets outside my JupyterLab/JupyterHub Platform, but I didn't find any solution.

Here's some rules I tested with Apache web server, but it doesn't works :

RewriteRule /datalab/mynode/dtale/5100/(.) ws://127.0.0.1:41000/dtale/main/$1 [P,L]
ProxypassMatch /datalab/mynode/dtale/5100/(.) http://127.0.0.1:41000/dtale/main/$1
ProxypassReverse /datalab/mynode/dtale/5100/(.*) http://127.0.0.1:41000/dtale/main/$1

You should specify in your doc where to configure the "base_url" in order to expose your dtale outside.

Nowadays I consider dtale like a "localhost" component, impossible to open it for teams who want to develop and collaborate by using JupyterLab instances on a remote server.

It seems that dtale has been developed for only selfish developpers who are working on their laptop !

Be more open-mind please.

[phillipdupuis]

Edit: ignore my answer, it is not helpful. I don't use notebooks much.

Seems like the right way to do this is by using flask_ngrok: https://github.com/gstaff/flask-ngrok
Which, coincidentally, the owner was just working with (and should have some helpful advice/tips)

[aschonfeld]

I'm sorry to hear you're having issues. But luckily for you I just released a new version this morning which allows users to use D-Tale within hosted notebook services like Google Colab & Kaggle suing something called flask_ngrok

Here are the tutorials: https://github.com/man-group/dtale#google-colab--kaggle

Here is an example of how to get it started:

import pandas as pd

import dtale
import dtale.app as dtale_app

dtale_app.USE_NGROK = True

dtale.show(pd.DataFrame([1,2,3]))

The key is setting USE_NGROK to true. Hopefully this works, but if not I can take you through some of the horror stories we went through getting it to work in jupyterhub through our comapny's proxy.

[aschonfeld]

@enahwe I just recently released v.1.8.13 with support for a jupyterhub extension jupyter-server-proxy. Here's the documentation

Hopefully this might help with using D-Tale in jupyterhub on top of kubernetes

[shainaraza]

its working simply if we install directly from git
!pip install -U dtale