store_sqlite: Use SQLite database as storage mode

In shinylogs: Record Everything that Happens in a 'Shiny' Application

Use SQLite database as storage mode

Description

All logs will be written in the same file.

Usage

store_sqlite(path)

Arguments

path	Path to the SQLite file or a directory where to create one.

Value

A list that can be used in track_usage().

Examples

if (interactive()) {

  library(shiny)
  library(shinylogs)

  # temp directory for writing logs
  tmp <- tempdir()

  # when app stop,
  # navigate to the directory containing logs
  onStop(function() {
    browseURL(url = tmp)
  })

  # Classir 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 RDS with logs in the temp dir
    track_usage(
      storage_mode = store_sqlite(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)

}

shinylogs documentation built on April 18, 2022, 5:05 p.m.