Failed to load resource also using flask, gunicorn, and docker

I know this has been posted before here, but when I’ve tried to follow the suggestions I am still unable to resolve the error: Failed to load resource: net::ERR_BLOCKED_BY_CLIENT.

Like the previous post, I am also using the example set here bokeh/ at branch-2.4 · bokeh/bokeh · GitHub to try and get bokeh running on a remote computer that is connected to my network.

I have changed this line to explicitly set the port

sockets, port = bind_sockets("localhost", 5006)

I’ve also tried many different variations with setting the extra_websocket_origins parameter e.g.

bokeh_tornado = BokehTornado({'/bkapp': bkapp}, extra_websocket_origins=["*"])
bokeh_tornado = BokehTornado({'/bkapp': bkapp}, extra_websocket_origins=["localhost:8000"])
bokeh_tornado = BokehTornado({'/bkapp': bkapp}, extra_websocket_origins=[""])

And the Dockerfile exposes both port 8000 and 5006

FROM python:3.8

RUN apt-get update && apt-get upgrade -y

COPY templates templates


Here are the docker commands I’ve tried:

docker run -d --restart always -p 8000:8000 -p 5006:5006 -v /home/bli/miniconda3/:/home/bli/miniconda3/ sanger_flask gunicorn --bind app:app

docker run -d --restart always -p 8000:8000 -v /home/bli/miniconda3/:/home/bli/miniconda3/ sanger_flask gunicorn --bind app:app

I thought it might have been a firewall issue, but I was able to access other test websites I built with flask + docker using ports 8000, 5006, 5001 ect.

My hunch is their is still some issue is with extra_websocket_origins or I’m not correctly exposing the ports between docker and bokeh.

Any examples of how this works with docker would be wonderful.


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