track_usage {shinylogs} | R Documentation |
Track usage of a Shiny app
Description
Used in Shiny server
it will record all inputs and
output changes and errors that occurs through an output.
Usage
track_usage(
storage_mode,
what = c("session", "input", "output", "error"),
exclude_input_regex = NULL,
exclude_input_id = NULL,
on_unload = FALSE,
app_name = NULL,
exclude_users = NULL,
get_user = NULL,
dependencies = TRUE,
session = getDefaultReactiveDomain()
)
Arguments
storage_mode |
Storage mode to use : |
what |
Elements to record between |
exclude_input_regex |
Regular expression to exclude inputs from tracking. |
exclude_input_id |
Vector of |
on_unload |
Logical, save log when user close the browser window or tab,
if |
app_name |
Name of the app as a character string.
If |
exclude_users |
Character vectors of user for whom it is not necessary to save the log. |
get_user |
A |
dependencies |
Load dependencies in client, can be set to |
session |
The shiny session. |
Note
The following input
s will be accessible in the server:
-
.shinylogs_lastInput : last
input
used by the user -
.shinylogs_input : all
input
s send from the browser to the server -
.shinylogs_error : all errors generated by
output
s elements -
.shinylogs_output : all
output
s generated from the server -
.shinylogs_browserData : information about the browser where application is displayed.
Examples
# Save logs on disk ----------------------------------
if (interactive()) {
# temporary directory for writing logs
tmp <- tempdir()
# when app stop,
# navigate to the directory containing logs
onStop(function() {
browseURL(url = tmp)
})
# Classic Iris clustering with Shiny
ui <- fluidPage(
headerPanel("Iris k-means clustering"),
sidebarLayout(
sidebarPanel(
selectInput(
inputId = "xcol",
label = "X Variable",
choices = names(iris)
),
selectInput(
inputId = "ycol",
label = "Y Variable",
choices = names(iris),
selected = names(iris)[[2]]
),
numericInput(
inputId = "clusters",
label = "Cluster count",
value = 3,
min = 1,
max = 9
)
),
mainPanel(
plotOutput("plot1")
)
)
)
server <- function(input, output, session) {
# Store JSON with logs in the temp dir
track_usage(
storage_mode = store_json(path = tmp)
)
# classic server logic
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, server)
}
# Logs in console & special inputs ------------------------
if (interactive()) {
library(shiny)
library(shinylogs)
ui <- fluidPage(
tags$h2("Record inputs change"),
fluidRow(
column(
width = 3,
selectInput(
inputId = "select",
label = "Select input",
choices = month.name
),
numericInput(
inputId = "numeric",
label = "Numerci input",
value = 4,
min = 0, max = 20
),
checkboxGroupInput(
inputId = "checkboxGroup",
label = "Checkbox group input",
choices = LETTERS[1:5]
),
sliderInput(
inputId = "slider",
label = "Slider input",
min = 0, max = 100, value = 50
)
),
column(
width = 9,
tags$b("Last input triggered:"),
verbatimTextOutput(outputId = "last_input"),
tags$b("All inputs:"),
verbatimTextOutput(outputId = "all_inputs")
)
)
)
server <- function(input, output, session) {
# dont store on disk, just show in R console
track_usage(
storage_mode = store_null()
)
# last input triggered
output$last_input <- renderPrint({
input$.shinylogs_lastInput
})
# all inputs that have changed
output$all_inputs <- renderPrint({
input$.shinylogs_input
})
}
shinyApp(ui, server)
}