shinyproxy | Open Source Enterprise Deployment for Shiny and data | Data Visualization library

I'm struggling with character encoding with my ShinyApp. I'm using ShinyProxy for deploying the apps.

I read my data as JSON encoded in UTF-8 with:

I'm using ShinyProxy to deploy R ShinyApps.

I plot on a Leaflet Map marker point and cluster them because I have more than one (actually a lot) points for the same coordinates.

Each point can be in two state, so I change the color in Red or Green.

I'd like to change the color of the "cluster marker" too in:

• red if at least one marker inside of it is red
• green otherwise

Here a (simple dummy) photo to better explain what I mean:

I searched a lot but I cannot find a solution to my problem.

Here a portion of my code:

I am using Shinyproxy with Keycloak and read the username with userName <- Sys.getenv("SHINYPROXY_USERNAME")

Unfortunately I receive a concatenation of FirstName and LastName, which is not unique.

I would like to have the username in SHINYPROXY_USERNAME. Is this a Keycloak configuration issue?

Everytime I restart my ec2 server I have to do: sudo systemctl start docker and then docker-compose up -d to launch all my containers.
Would there be a way to automatically run these two commands at the start of the instance? I have read this answer and I think ideally I would like to know how to do that:

Create a systemd service and enable it. All the enabled systems services will be started on powering.

Do you know how to create such systemd service?

[EDIT 1]: Following Chris William's comment, here is what I have done:

Thanks Chris, so I created a docker_boot.service with the following content:

I am following the instructions in order to secure shinyproxy as per https://shinyproxy.io/security/. Is it possible to run shinyproxy in a container and bind to 127.0.0.1 so that my nginx reverse proxy can forward the request via proxy_pass to 127.0.0.1:8080?

So something like sudo docker run -d -p 127.0.0.1:8080:8080 --net sp-example-net -v /var/run/docker.sock:/var/run/docker.sock shinyproxy_base:localhost where bind-address: 127.0.0.1 in application.yml.

This works if i remove bind-address:127.0.0.1 and change -p 8080:8080 so that shinyproxy is listening on 0.0.0.0 but that is not suggested.

Is the above possible or should I keep the docker container listening on 0.0.0.0?

I wrote a shiny web application and deploy it on a server using ShinyProxy. Accessing the app directly via the IP address and port 8080 works fine. However, I need to connect it to a URL. On the ShinyProxy website there is an explanation on how it works with Nginx:

I successfully deployed an application with shiny and shinyproxy. The purpose of the app is to manually review an algorithm decision

We want to store not only the decision but also the timestamp in which the decision is made, so inside the code we are making use of Sys.time(). Our current time zone is UTC+2 while inside the app when deployed with shinyproxy it seems that Sys.time will give us UTC time ( so 2 hours behind what we'd like to see). I checked the server date and it's ok.

Is there some configuration we can modify on shinyproxy to deal with this situation? Or it's easier to work on some parameters of Sys.time() or another R function, i suppose specifying something like timezone="Europe/Amsterdam"?

Thanks

I'm looking at setting up a Shiny app that uses the Furrr package behind the scenes for some multithreaded operations. While checking the documentation for Shiny Server I read that the Open Source version is limited to a single process.

Does this mean anything running on Shiny Server Open Source can't be used in conjunction with any of the multithreading packages, since afaik all multithreading in R requires creating multiple processes? Also would this apply as well to something like ShinyProxy?

I am trying to deploy my R application using ShinyProxy and docker. As soon as run the command, java -jar I get a nested exception in docker terminal stating Illegal argument exception. I am attaching the last traceback error. I referred https://www.databentobox.com/2019/11/05/deploy-r-app-with-shinyproxy/ tutorial for deploying R application. Any suggestion on how to overcome this error?