Login Screen For My Shiny App Does Not Time Out

Question

I have a shiny app where I have added authentication. The app is hosted on shinyapps.io and I have a few clients using the app. However, one client does not close his browser tabs, leaving the login page idle. I have found out that the login page does not time out. It remains idle and constantly eats up my active hours. Here is what my shiny app logs look like plus the front authentication page.

I am using the shinymanager package. I have set the shiny app settings to time out after 10 minutes of being idle. This works great if you are logged in. However, when you are not, it does not time out.

I am wondering if there is something I can implement in my code so that the login will time out if idle for x amount of minutes. Here is a reproducible toy example of my code. So if someone really wanted to screw me they could open N amount of tabs and leave the login page idle. That would really slow down my performance.

gloabal.R

library(shiny)
library(shinymanager)


# data.frame with credentials info
credentials <- data.frame(
  user = c("fanny", "victor", "benoit"),
  password = c("azerty", "12345", "azerty"),
  # comment = c("alsace", "auvergne", "bretagne"),
  stringsAsFactors = FALSE
)

ui.R

secure_app(fluidPage(

  # classic app
  headerPanel('Iris k-means clustering'),
  sidebarPanel(
    selectInput('xcol', 'X Variable', names(iris)),
    selectInput('ycol', 'Y Variable', names(iris),
                selected=names(iris)[[2]]),
    numericInput('clusters', 'Cluster count', 3,
                 min = 1, max = 9)
  ),
  mainPanel(
    plotOutput('plot1'),
    verbatimTextOutput("res_auth")
  )

))

server.R

function(input, output, session) {

  result_auth <- secure_server(check_credentials = 
check_credentials(credentials))

  output$res_auth <- renderPrint({
    reactiveValuesToList(result_auth)
  })

  # classic app
  selectedData <- reactive({
    iris[, c(input$xcol, input$ycol)]
  })

  clusters <- reactive({
    kmeans(selectedData(), input$clusters)
  })

  output$plot1 <- renderPlot({
    palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
              "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))

    par(mar = c(5.1, 4.1, 0, 1))
    plot(selectedData(),
         col = clusters()$cluster,
         pch = 20, cex = 3)
    points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
  })

}

Answer 1

You can use the some js and add it to the secure_app function. Example below will timeout authentication page after 5 seconds

library(shiny)
library(shinymanager)

inactivity <- "function idleTimer() {
var t = setTimeout(logout, 5000);
window.onmousemove = resetTimer; // catches mouse movements
window.onmousedown = resetTimer; // catches mouse movements
window.onclick = resetTimer;     // catches mouse clicks
window.onscroll = resetTimer;    // catches scrolling
window.onkeypress = resetTimer;  //catches keyboard actions

function logout() {
window.close();  //close the window
}

function resetTimer() {
clearTimeout(t);
t = setTimeout(logout, 5000);  // time is in milliseconds (1000 is 1 second)
}
}
idleTimer();"


# data.frame with credentials info
credentials <- data.frame(
  user = c("1", "fanny", "victor", "benoit"),
  password = c("1", "azerty", "12345", "azerty"),
  # comment = c("alsace", "auvergne", "bretagne"), %>% 
  stringsAsFactors = FALSE
)

ui <- secure_app(head_auth = tags$script(inactivity),
  fluidPage(
    # classic app
    headerPanel('Iris k-means clustering'),
    sidebarPanel(
      selectInput('xcol', 'X Variable', names(iris)),
      selectInput('ycol', 'Y Variable', names(iris),
                  selected=names(iris)[[2]]),
      numericInput('clusters', 'Cluster count', 3,
                   min = 1, max = 9)
    ),
    mainPanel(
      plotOutput('plot1'),
      verbatimTextOutput("res_auth")
    )

  ))

server <- function(input, output, session) {

  result_auth <- secure_server(check_credentials = 
                                 check_credentials(credentials))

  output$res_auth <- renderPrint({
    reactiveValuesToList(result_auth)
  })

  # classic app
  selectedData <- reactive({
    iris[, c(input$xcol, input$ycol)]
  })

  clusters <- reactive({
    kmeans(selectedData(), input$clusters)
  })

  output$plot1 <- renderPlot({
    palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
              "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))

    par(mar = c(5.1, 4.1, 0, 1))
    plot(selectedData(),
         col = clusters()$cluster,
         pch = 20, cex = 3)
    points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
  })

}


shinyApp(ui = ui, server = server)