Simple Reporter

Simple reporter is a shiny module for capturing app views during the session, and eventually downloading a report document. The Simple reporter module consists of two separate modules one for each of the two buttons, Add Card and Download Report buttons modules.

module designed to capture and visualize application views throughout a session, facilitating the generation and download of a comprehensive report document. This module consists of two separate modules one for each of the two buttons.

• Add card button.
• Download report button.

The implementation should consist of 4 steps:

1. Add modules UI component to the app’s UI.
2. Initialize Reporter instance.
3. Create a reactive that must return a teal_card object. The teal_card object should be built step by step, assuming that it is empty at the beginning. Please note that the document page’s design is up to the developer’s imagination.
4. Invoke the servers with the Reporter instance and the function to create the ReportCard instance.

The code added to introduce the reporter is wrapped in the ### REPORTER code blocks.

First, load the required packages:

library(shiny)
library(bslib)
library(teal.reporter)
library(ggplot2)
library(rtables)

Simple reporter shiny app with separate modules for each button:

ui <- bslib::page_fluid(
  titlePanel(""),
  sidebarLayout(
    sidebarPanel(
      uiOutput("encoding")
    ),
    mainPanel(
      ### REPORTER
      tags$div(
        add_card_button_ui("addReportCard"),
        download_report_button_ui("downloadButton"),
        reset_report_button_ui("resetButton")
      ),
      ###
      tags$br(),
      tabsetPanel(
        id = "tabs",
        tabPanel("Plot", plotOutput("dist_plot")),
        tabPanel("Table", verbatimTextOutput("table"))
      )
    )
  )
)

server <- function(input, output, session) {
  output$encoding <- renderUI({
    if (input$tabs == "Plot") {
      sliderInput(
        "binwidth",
        "binwidth",
        min = 2,
        max = 10,
        value = 8
      )
    } else {
      selectInput(
        "stat",
        label = "Statistic",
        choices = c("mean", "median", "sd"),
        "mean"
      )
    }
  })

  plot <- reactive({
    req(input$binwidth)
    x <- mtcars$mpg
    ggplot(data = mtcars, aes(x = mpg)) +
      geom_histogram(binwidth = input$binwidth)
  })

  output$dist_plot <- renderPlot({
    plot()
  })

  table <- reactive({
    req(input$stat)
    lyt <- basic_table() %>%
      split_rows_by("Month", label_pos = "visible") %>%
      analyze("Ozone", afun = eval(str2expression(input$stat)))

    build_table(lyt, airquality)
  })

  output$table <- renderPrint({
    table()
  })

  ### REPORTER
  reporter <- Reporter$new()
  card_r <- reactive({
    card <- teal_card()
    if (input$tabs == "Plot") {
      card <- c(card, "## My plot", plot())
    } else if (input$tabs == "Table") {
      card <- c(card, "## My Table", table())
    }
    card
  })

  add_card_button_srv("addReportCard", reporter = reporter, card_fun = card_r)
  download_report_button_srv("downloadButton", reporter = reporter)
  reset_report_button_srv("resetButton", reporter)
  ###
}

shinyApp(ui = ui, server = server)

Simple reporter shiny app with combined buttons modules:

ui <- bslib::page_fluid(
  titlePanel(""),
  sidebarLayout(
    sidebarPanel(
      uiOutput("encoding")
    ),
    mainPanel(
      ### REPORTER
      simple_reporter_ui("simpleReporter"),
      ###
      tabsetPanel(
        id = "tabs",
        tabPanel("Plot", plotOutput("dist_plot")),
        tabPanel("Table", verbatimTextOutput("table"))
      )
    )
  )
)

server <- function(input, output, session) {
  output$encoding <- renderUI({
    if (input$tabs == "Plot") {
      sliderInput(
        "binwidth",
        "binwidth",
        min = 2,
        max = 10,
        value = 8
      )
    } else {
      selectInput(
        "stat",
        label = "Statistic",
        choices = c("mean", "median", "sd"),
        "mean"
      )
    }
  })

  plot <- reactive({
    req(input$binwidth)
    x <- mtcars$mpg
    ggplot(data = mtcars, aes(x = mpg)) +
      geom_histogram(binwidth = input$binwidth)
  })

  output$dist_plot <- renderPlot({
    plot()
  })

  table <- reactive({
    req(input$stat)
    lyt <- basic_table() %>%
      split_rows_by("Month", label_pos = "visible") %>%
      analyze("Ozone", afun = eval(str2expression(input$stat)))

    build_table(lyt, airquality)
  })

  output$table <- renderPrint({
    table()
  })

  ### REPORTER
  reporter <- Reporter$new()

  # Optionally set reporter id to e.g. secure report reload only for the same app
  # The id is added to the downloaded file name.
  reporter$set_id("myappid")

  reporter <- Reporter$new()
  card_r <- reactive({
    card <- teal_card()
    if (input$tabs == "Plot") {
      card <- c(card, "## My plot", plot())
    } else if (input$tabs == "Table") {
      card <- c(card, "## My Table", table())
    }
    card
  })

  simple_reporter_srv("simpleReporter", reporter = reporter, card_fun = card_r)
  ###
}

shinyApp(ui = ui, server = server)