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module-auth.R
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if (interactive()) {
library(shiny)
library(shinymanager)
# data.frame with credentials info
# credentials <- data.frame(
# user = c("fanny", "victor"),
# password = c("azerty", "12345"),
# comment = c("alsace", "auvergne"),
# stringsAsFactors = FALSE
# )
# you can hash the password using scrypt
# and adding a column is_hashed_password
# data.frame with credentials info
credentials <- data.frame(
user = c("fanny", "victor"),
password = c(scrypt::hashPassword("azerty"), scrypt::hashPassword("12345")),
is_hashed_password = TRUE,
comment = c("alsace", "auvergne"),
stringsAsFactors = FALSE
)
# app
ui <- fluidPage(
# authentication module
auth_ui(
id = "auth",
# add image on top ?
tags_top =
tags$div(
tags$h4("Demo", style = "align:center"),
tags$img(
src = "https://www.r-project.org/logo/Rlogo.png", width = 100
)
),
# add information on bottom ?
tags_bottom = tags$div(
tags$p(
"For any question, please contact ",
tags$a(
href = "mailto:[email protected]?Subject=Shiny%20aManager",
target="_top", "administrator"
)
)
),
# change auth ui background ?
# https://developer.mozilla.org/fr/docs/Web/CSS/background
background = "linear-gradient(rgba(0, 0, 255, 0.5),
rgba(255, 255, 0, 0.5)),
url('https://www.r-project.org/logo/Rlogo.png');",
# set language ?
lan = use_language("fr")
),
# result of authentication
verbatimTextOutput(outputId = "res_auth"),
# 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')
)
)
server <- function(input, output, session) {
# authentication module
auth <- callModule(
module = auth_server,
id = "auth",
check_credentials = check_credentials(credentials)
)
output$res_auth <- renderPrint({
reactiveValuesToList(auth)
})
# classic app
selectedData <- reactive({
req(auth$result) # <---- dependency on authentication result
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)
}