teal.widgets coverage - 60.32%

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#' Include `CSS` files from `/inst/css/` package directory to application header
#'
#' `system.file` should not be used to access files in other packages, it does
#' not work with `devtools`. Therefore, we redefine this method in each package
#' as needed. Thus, we do not export this method
#'
#' @param pattern (`character`) pattern of files to be included
#'
#' @return HTML code that includes `CSS` files
#' @keywords internal
include_css_files <- function(pattern = "*") {
  css_files <- list.files(
    system.file("css", package = "teal.widgets", mustWork = TRUE),
    pattern = pattern, full.names = TRUE
  )
  if (length(css_files) == 0) {
    return(NULL)
  }
  return(shiny::singleton(tags$head(lapply(css_files, shiny::includeCSS))))
}

#' Get bootstrap current version
#' @note will work properly mainly inside a tag `.renderHook`
#' @keywords internal
get_bs_version <- function() {
  theme <- bslib::bs_current_theme()
  if (bslib::is_bs_theme(theme)) {
    bslib::theme_version(theme)
  } else {
    "3"
  }
}

#' This function checks the plot type and applies specific modifications
#' to the plot object based on the provided parameters.
#'
#' @param plot_obj The original plot object.
#' @param plot_type The type of the plot, either `gg` (`ggplot2`) or `grob` (`grid`, `graphics`).
#' @param dblclicking A logical value indicating whether double-clicking on data points on
#' the main plot is enabled or disabled.
#' @param ranges A list containing x and y values of ranges.
#'
#' @keywords internal
apply_plot_modifications <- function(plot_obj, plot_type, dblclicking, ranges) {
  if (plot_type == "gg" && dblclicking) {
    plot_obj +
      ggplot2::coord_cartesian(xlim = ranges$x, ylim = ranges$y, expand = FALSE)
  } else if (plot_type == "grob") {
    grid::grid.newpage()
    grid::grid.draw(plot_obj)
  } else {
    plot_obj
  }
}

#' This function opens a PDF graphics device using [grDevices::pdf()] to suppress
#' the plot display in the IDE. The purpose of this function is to avoid opening graphic devices
#' directly in the IDE.
#'
#' @param x lazy binding which generates the plot(s)
#'
#' @keywords internal
plot_suppress <- function(x) {
  grDevices::pdf(nullfile())
  on.exit(grDevices::dev.off())
  force(x)
}

#' Wrapper for `pickerInput`
#'
#' @description `r lifecycle::badge("stable")`
#' Wrapper for [shinyWidgets::pickerInput()] with additional features.
#' When `fixed = TRUE` or when the number of `choices` is less or equal to 1 (see `fixed_on_single`),
#' the `pickerInput` widget is hidden and non-interactive widget will be displayed
#' instead. Toggle of `HTML` elements is just the visual effect to avoid displaying
#' `pickerInput` widget when there is only one choice.
#'
#' @inheritParams shinyWidgets::pickerInput
#'
#' @param sep (`character(1)`)\cr
#'  A separator string to split the `choices` or `selected` inputs into the values of the different
#'  columns.
#'
#' @param label_help (`shiny.tag`) optional,\cr
#'  e.g. an object returned by [shiny::helpText()].
#'
#' @param fixed (`logical(1)`) optional,\cr
#'  whether to block user to select choices.
#'
#' @param fixed_on_single (`logical(1)`) optional,\cr
#'  whether to block user to select a choice when there is only one or less choice.
#'  When `FALSE`, user is still able to select or deselect the choice.
#'
#' @param width (`character(1)`)\cr
#'  The width of the input passed to `pickerInput`  e.g. `'auto'`, `'fit'`, `'100px'` or `'75%'`
#'
#' @return (`shiny.tag`) HTML tag with `pickerInput` widget and
#'  non-interactive element listing selected values.
#'
#' @export
#'
#' @examples
#' library(shiny)
#'
#' # Create a minimal example data frame
#' data <- data.frame(
#'   AGE = c(25, 30, 40, 35, 28),
#'   SEX = c("Male", "Female", "Male", "Female", "Male"),
#'   PARAMCD = c("Val1", "Val2", "Val3", "Val4", "Val5"),
#'   PARAM = c("Param1", "Param2", "Param3", "Param4", "Param5"),
#'   AVISIT = c("Visit1", "Visit2", "Visit3", "Visit4", "Visit5"),
#'   stringsAsFactors = TRUE
#' )
#'
#' ui_grid <- function(...) {
#'   fluidPage(
#'     fluidRow(
#'       lapply(list(...), function(x) column(4, wellPanel(x)))
#'     )
#'   )
#' }
#'
#' ui <- ui_grid(
#'   tags$div(
#'     optionalSelectInput(
#'       inputId = "c1",
#'       label = "Fixed choices",
#'       choices = LETTERS[1:5],
#'       selected = c("A", "B"),
#'       fixed = TRUE
#'     ),
#'     verbatimTextOutput(outputId = "c1_out")
#'   ),
#'   tags$div(
#'     optionalSelectInput(
#'       inputId = "c2",
#'       label = "Single choice",
#'       choices = "A",
#'       selected = "A"
#'     ),
#'     verbatimTextOutput(outputId = "c2_out")
#'   ),
#'   tags$div(
#'     optionalSelectInput(
#'       inputId = "c3",
#'       label = "NULL choices",
#'       choices = NULL
#'     ),
#'     verbatimTextOutput(outputId = "c3_out")
#'   ),
#'   tags$div(
#'     optionalSelectInput(
#'       inputId = "c4",
#'       label = "Default",
#'       choices = LETTERS[1:5],
#'       selected = "A"
#'     ),
#'     verbatimTextOutput(outputId = "c4_out")
#'   ),
#'   tags$div(
#'     optionalSelectInput(
#'       inputId = "c5",
#'       label = "Named vector",
#'       choices = c(`A - value A` = "A", `B - value B` = "B", `C - value C` = "C"),
#'       selected = "A"
#'     ),
#'     verbatimTextOutput(outputId = "c5_out")
#'   ),
#'   tags$div(
#'     selectInput(
#'       inputId = "c6_choices", label = "Update choices", choices = letters, multiple = TRUE
#'     ),
#'     optionalSelectInput(
#'       inputId = "c6",
#'       label = "Updated choices",
#'       choices = NULL,
#'       multiple = TRUE,
#'       fixed_on_single = TRUE
#'     ),
#'     verbatimTextOutput(outputId = "c6_out")
#'   )
#' )
#'
#' server <- function(input, output, session) {
#'   observeEvent(input$c6_choices, ignoreNULL = FALSE, {
#'     updateOptionalSelectInput(
#'       session = session,
#'       inputId = "c6",
#'       choices = input$c6_choices,
#'       selected = input$c6_choices
#'     )
#'   })
#'
#'   output$c1_out <- renderPrint(input$c1)
#'   output$c2_out <- renderPrint(input$c2)
#'   output$c3_out <- renderPrint(input$c3)
#'   output$c4_out <- renderPrint(input$c4)
#'   output$c5_out <- renderPrint(input$c5)
#'   output$c6_out <- renderPrint(input$c6)
#' }
#'
#' if (interactive()) {
#'   shinyApp(ui, server)
#' }
#'
optionalSelectInput <- function(inputId, # nolint
                                label = NULL,
                                choices = NULL,
                                selected = NULL,
                                multiple = FALSE,
                                sep = NULL,
                                options = list(),
                                label_help = NULL,
                                fixed = FALSE,
                                fixed_on_single = FALSE,
                                width = NULL) {
  checkmate::assert_string(inputId)
  checkmate::assert(
    checkmate::check_string(label, null.ok = TRUE),
    checkmate::check_class(label, "shiny.tag"),
    checkmate::check_class(label, "shiny.tag.list"),
    checkmate::check_class(label, "html")
  )
  stopifnot(is.null(choices) || length(choices) >= 1)
  stopifnot(
    is.null(selected) ||
      length(selected) == 0 ||
      all(selected %in% choices) ||
      all(selected %in% unlist(choices, recursive = FALSE))
  )
  checkmate::assert_flag(multiple)
  checkmate::assert_string(sep, null.ok = TRUE)
  checkmate::assert_list(options)
  checkmate::assert(
    checkmate::check_string(label_help, null.ok = TRUE),
    checkmate::check_class(label_help, "shiny.tag"),
    checkmate::check_class(label_help, "shiny.tag.list"),
    checkmate::check_class(label_help, "html")
  )
  checkmate::assert_flag(fixed)
  checkmate::assert_flag(fixed_on_single)

  if (!is.null(width)) {
    validateCssUnit(width)
  }

  default_options <- list(
    "actions-box" = multiple,
    "none-selected-text" = "- Nothing selected -",
    "max-options" = ifelse(multiple, Inf, 1),
    "show-subtext" = TRUE,
    "live-search" = ifelse(length(choices) > 10, TRUE, FALSE)
  )

  # if called outside the fluidPage then will assume bs 3
  bs_version <- get_bs_version()
  if (isTRUE(bs_version != "3")) default_options[["style"]] <- "btn-outline-secondary"

  options <- if (!identical(options, list())) {
    c(options, default_options[setdiff(names(default_options), names(options))])
  } else {
    default_options
  }

  if (is.null(choices)) {
    choices <- ""
    selected <- NULL
  }

  if (length(choices) <= 1 && fixed_on_single) fixed <- TRUE

  raw_choices <- extract_raw_choices(choices, attr(choices, "sep"))
  raw_selected <- extract_raw_choices(selected, attr(choices, "sep"))

  ui_picker <- tags$div(
    id = paste0(inputId, "_input"),
    # visibility feature marked with display: none/block instead of shinyjs::hide/show
    #  as mechanism to hide/show is handled by javascript code
    style = if (fixed) "display: none;" else "display: block;",
    shinyWidgets::pickerInput(
      inputId = inputId,
      label = label,
      choices = raw_choices,
      selected = raw_selected,
      multiple = TRUE,
      width = width,
      options = options,
      choicesOpt = picker_options(choices)
    )
  )

  if (!is.null(label_help)) {
    ui_picker[[3]] <- append(ui_picker[[3]], list(tags$div(class = "label-help", label_help)), after = 1)
  }

  ui_fixed <- tags$div(
    id = paste0(inputId, "_fixed"),
    # visibility feature marked with display: none/block instead of shinyjs::hide/show
    #  as mechanism to hide/show is handled by javascript code
    style = if (fixed) "display: block;" else "display: none;",
    tags$label(class = "control-label", label),
    # selected values as verbatim text
    tags$code(
      id = paste0(inputId, "_selected_text"),
      if (length(selected) > 0) {
        toString(selected)
      } else {
        "NULL"
      }
    ),
    label_help
  )

  tags$div(
    include_css_files(pattern = "picker_input"),

    # when selected values in ui_picker change
    # then update ui_fixed - specifically, update '{id}_selected_text' element
    tags$script(
      sprintf(
        "
        $(function() {
          $('#%1$s').on('change', function(e) {
            var select_concat = $(this).val().length ? $(this).val().join(', ') : 'NULL';
            $('#%1$s_selected_text').html(select_concat);
          })
        })",
        inputId
      )
    ),

    # if ui_picker has only one or less option or is fixed then hide {id}_input and show {id}_fixed
    if (fixed_on_single) {
      js <- sprintf(
        "$(function() {
          $('#%1$s').on('change', function(e) {
            var options = $('#%1$s').find('option');
            if (options.length == 1) {
              $('#%1$s_input').hide();
              $('#%1$s_fixed').show();
            } else {
              $('#%1$s_input').show();
              $('#%1$s_fixed').hide();
            }
          })
        })",
        inputId
      )
      tags$script(js)
    },
    tags$div(ui_picker, ui_fixed)
  )
}

#' @rdname optionalSelectInput
#' @param session (`shiny.session`)\cr
#' @export
updateOptionalSelectInput <- function(session, # nolint
                                      inputId, # nolint
                                      label = NULL,
                                      selected = NULL,
                                      choices = NULL) {
  raw_choices <- extract_raw_choices(choices, attr(choices, "sep"))
  raw_selected <- extract_raw_choices(selected, attr(choices, "sep"))

  # update picker input
  shinyWidgets::updatePickerInput(
    session = session,
    inputId = inputId,
    label = label,
    selected = as.character(raw_selected),
    choices = raw_choices,
    choicesOpt = picker_options(choices)
  )

  invisible(NULL)
}

#' Get icons to represent variable types in dataset
#'
#' @param var_type (`character`)\cr
#'  of R internal types (classes).
#'
#' @return (`character`)\cr
#'  vector of HTML icons corresponding to  data type in each column.
#' @keywords internal
#'
variable_type_icons <- function(var_type) {
  checkmate::assert_character(var_type, any.missing = FALSE)

  class_to_icon <- list(
    numeric = "arrow-up-1-9",
    integer = "arrow-up-1-9",
    logical = "pause",
    Date = "calendar",
    POSIXct = "calendar",
    POSIXlt = "calendar",
    factor = "chart-bar",
    character = "keyboard",
    primary_key = "key",
    unknown = "circle-question"
  )
  class_to_icon <- lapply(class_to_icon, function(icon_name) toString(icon(icon_name, lib = "font-awesome")))

  res <- unname(vapply(
    var_type,
    FUN.VALUE = character(1),
    FUN = function(class) {
      if (class == "") {
        class
      } else if (is.null(class_to_icon[[class]])) {
        class_to_icon[["unknown"]]
      } else {
        class_to_icon[[class]]
      }
    }
  ))

  return(res)
}

#' Optional content for `optionalSelectInput`
#'
#' Prepares content to be displayed in `optionalSelectInput` with icons and labels
#'
#' @param var_name (`character`)\cr
#'  variable name
#' @param var_label (`character`)\cr
#'  variable alternative name - for example variable label
#' @param var_type (`character`)
#' class of the variable.
#'
#' @return (`character`) HTML contents with all elements combined
#' @keywords internal
#'
picker_options_content <- function(var_name, var_label, var_type) {
  if (length(var_name) == 0) {
    return(character(0))
  }
  if (length(var_type) == 0 && length(var_label) == 0) {
    return(var_name)
  }
  checkmate::assert_character(var_name, min.len = 1, any.missing = FALSE)
  stopifnot(
    identical(var_type, character(0)) || length(var_type) == length(var_name),
    identical(var_label, character(0)) || length(var_label) == length(var_name)
  )

  var_icon <- variable_type_icons(var_type)

  res <- trimws(paste(
    var_icon,
    var_name,
    vapply(
      var_label,
      function(x) {
        ifelse(x == "", "", toString(tags$small(x, class = "text-muted")))
      },
      character(1)
    )
  ))

  return(res)
}

#' Create `choicesOpt` for `pickerInput`
#'
#' @param choices (`choices_labeled` or `character`)\cr
#'  choices vector
#'
#' @return (`list`)\cr
#'  to be passed as `choicesOpt` argument.
#' @keywords internal
picker_options <- function(choices) {
  if (inherits(choices, "choices_labeled")) {
    raw_choices <- extract_raw_choices(choices, sep = attr(choices, "sep"))
    return(
      list(
        content = picker_options_content(
          var_name  = raw_choices,
          var_label = extract_choices_labels(choices),
          var_type  = if (is.null(attr(choices, "types"))) character(0) else attr(choices, "types")
        )
      )
    )
  } else if (all(vapply(choices, inherits, logical(1), "choices_labeled"))) {
    choices <- unlist(unname(choices))
    return(
      list(content = picker_options_content(
        var_name  = choices,
        var_label = extract_choices_labels(choices),
        var_type  = if (is.null(attr(choices, "types"))) character(0) else attr(choices, "types")
      ))
    )
  } else {
    return(NULL)
  }
}

#' Extract raw values from choices
#'
#' @param choices (`choices_labeled`, `list` or `character`)\cr
#'  object containing choices
#' @param sep (`character(1)`)\cr
#'  A separator string to split the `choices` or `selected` inputs into the values of
#'  the different columns.
#' @return choices simplified
#' @keywords internal
extract_raw_choices <- function(choices, sep) {
  if (!is.null(sep)) {
    vapply(choices, paste, collapse = sep, character(1))
  } else if (inherits(choices, "choices_labeled")) {
    unname(unlist(choices))
  } else {
    choices
  }
}

#' if min or max are `NA` then the slider widget will be hidden
#'
#' @description `r lifecycle::badge("stable")`\cr
#' Hidden input widgets are useful to have the `input[[inputId]]` variable
#' on available in the server function but no corresponding visual clutter from
#' input widgets that provide only a single choice.
#'
#' @inheritParams shiny::sliderInput
#' @param label_help (`shiny.tag`) optional\cr
#'  object of class `shiny.tag`, e.g. an object returned by [shiny::helpText()]
#' @param ... optional arguments to `sliderInput`
#'
#' @return (`shiny.tag`) HTML tag with `sliderInput` widget.
#'
#' @export
#'
#' @examples
#' optionalSliderInput("a", "b", 0, 1, 0.2)
optionalSliderInput <- function(inputId, label, min, max, value, label_help = NULL, ...) { # nolint
  checkmate::assert_number(min, na.ok = TRUE)
  checkmate::assert_number(max, na.ok = TRUE)
  checkmate::assert_numeric(value, min.len = 1, max.len = 2, any.missing = FALSE)

  is_na_min <- is.na(min)
  is_na_max <- is.na(max)

  hide <- is_na_min || is_na_max

  if (length(value) == 2) {
    value1 <- value[1]
    value2 <- value[2]
  } else {
    value1 <- value
    value2 <- value
  }

  if (is_na_min) {
    min <- value1 - 1
  }
  if (is_na_max) {
    max <- value2 + 1
  }

  if (min > value1 || max < value2) {
    stop("arguments inconsistent: min <= value <= max expected")
  }

  slider <- sliderInput(inputId, label, min, max, value, ...)

  if (!is.null(label_help)) {
    slider[[3]] <- append(slider[[3]], list(tags$div(class = "label-help", label_help)), after = 1)
  }

  if (hide) {
    shinyjs::hidden(slider)
  } else {
    slider
  }
}

#' For `teal` modules we parameterize an `optionalSliderInput` with one argument
#' `value_min_max`
#'
#' @description `r lifecycle::badge("stable")`
#' The [optionalSliderInput()] function needs three arguments to determine
#' whether to hide the `sliderInput` widget or not. For `teal` modules we specify an
#' optional slider input with one argument here called `value_min_max`.
#'
#' @inheritParams optionalSliderInput
#'
#' @param value_min_max (`numeric(1)` or `numeric(3)`)\cr
#'  If of length 1 then the value gets set to that number and the `sliderInput` will be hidden.
#'  Otherwise, if it is of length three the three elements will map to `value`, `min` and `max` of
#'  the [optionalSliderInput()] function.
#'
#' @return (`shiny.tag`) HTML tag with range `sliderInput` widget.
#'
#' @export
#'
#' @examples
#'
#' optionalSliderInputValMinMax("a", "b", 1)
#' optionalSliderInputValMinMax("a", "b", c(3, 1, 5))
optionalSliderInputValMinMax <- function(inputId, label, value_min_max, label_help = NULL, ...) { # nolint
  checkmate::assert(
    checkmate::check_numeric(
      value_min_max,
      finite = TRUE,
      len = 3
    ),
    checkmate::check_numeric(
      value_min_max,
      finite = TRUE,
      len = 1
    )
  )

  x <- value_min_max

  vals <- if (length(x) == 3) {
    checkmate::assert_number(x[1], lower = x[2], upper = x[3], .var.name = "value_min_max")
    list(value = x[1], min = x[2], max = x[3])
  } else if (length(x) == 1) {
    list(value = x, min = NA_real_, max = NA_real_)
  }

  slider <- optionalSliderInput(inputId, label, vals$min, vals$max, vals$value, ...)

  if (!is.null(label_help)) {
    slider[[3]] <- append(slider[[3]], list(tags$div(class = "label-help", label_help)), after = 1)
  }
  return(slider)
}

#' Extract labels from choices basing on attributes and names
#'
#' @param choices (`list` or `vector`)\cr
#'  select choices
#' @param values optional\cr
#'  choices subset for which labels should be extracted, `NULL` for all choices.
#'
#' @return (`character`) vector with labels
#' @keywords internal
extract_choices_labels <- function(choices, values = NULL) {
  res <- if (inherits(choices, "choices_labeled")) {
    attr(choices, "raw_labels")
  } else if (!is.null(names(choices)) && !setequal(names(choices), unlist(unname(choices)))) {
    names(choices)
  } else {
    NULL
  }

  if (!is.null(values) && !is.null(res)) {
    stopifnot(all(values %in% choices))
    res <- res[vapply(values, function(val) which(val == choices), numeric(1))]
  }

  return(res)
}

#' @name plot_with_settings
#' @rdname plot_with_settings
#' @export
plot_with_settings_ui <- function(id) {
  checkmate::assert_string(id)

  ns <- NS(id)

  tagList(
    shiny::singleton(tags$head(
      tags$script(
        # nolint start
        sprintf(
          '$(document).on("shiny:connected", function(e) {
            Shiny.onInputChange("%s", document.getElementById("%s").clientWidth);
            Shiny.onInputChange("%s", 0.87*window.innerWidth);
            //based on modal CSS property, also accounting for margins
          });
          $(window).resize(function(e) {
            Shiny.onInputChange("%s", document.getElementById("%s").clientWidth);
            Shiny.onInputChange("%s", 0.87*window.innerWidth);
            //based on modal CSS property, also accounting for margins
          });',
          # nolint end
          ns("flex_width"), # session input$ variable name
          ns("plot_out_main"), # graph parent id
          ns("plot_modal_width"), # session input$ variable name
          ns("flex_width"), # session input$ variable name
          ns("plot_out_main"), # graph parent id
          ns("plot_modal_width") # session input$ variable name
        )
      )
    )),
    include_css_files("plot_with_settings"),
    tags$div(
      id = ns("plot-with-settings"),
      tags$div(
        class = "plot-settings-buttons",
        type_download_ui(ns("downbutton")),
        actionButton(
          ns("expand"),
          label = character(0),
          icon = icon("up-right-and-down-left-from-center"),
          class = "btn-sm"
        ),
        shinyWidgets::dropdownButton(
          circle = FALSE,
          icon = icon("maximize"),
          inline = TRUE,
          right = TRUE,
          label = "",
          inputId = ns("expbut"),
          uiOutput(ns("slider_ui")),
          uiOutput(ns("width_warning"))
        )
      ),
      uiOutput(ns("plot_out_main"), class = "plot_out_container", width = "100%")
    )
  )
}

#' Plot-with-settings module
#'
#' @rdname plot_with_settings
#' @description `r lifecycle::badge("stable")`\cr
#' Universal module for plots with settings for height, width, and download.
#'
#' @export
#'
#' @param id (`character(1)`) `shiny` module id.
#'
#' @param plot_r (`reactive` or `function`)\cr
#'  `reactive` expression or a simple `function` to draw a plot.
#'  A simple `function` is needed e.g. for base plots like `plot(1)` as the output can not be caught when downloading.
#'  Take into account that simple functions are less efficient than reactive, as not catching the result.
#' @param height (`numeric`) optional\cr
#'  vector with three elements c(VAL, MIN, MAX), where VAL is the starting value of the slider in
#'  the main and modal plot display. The value in the modal display is taken from the value of the
#'  slider in the main plot display.
#' @param width (`numeric`) optional\cr
#'  vector with three elements `c(VAL, MIN, MAX)`, where VAL is the starting value of the slider in
#'  the main and modal plot display; `NULL` for default display. The value in the modal
#'  display is taken from the value of the slider in the main plot display.
#' @param show_hide_signal optional, (`reactive logical` a mechanism to allow modules which call this
#'     module to show/hide the plot_with_settings UI)
#' @param brushing (`logical`) optional\cr
#'  mechanism to enable / disable brushing on the main plot (in particular: not the one displayed
#'  in modal). All the brushing data is stored as a reactive object in the `"brush"` element of
#'  returned list. See the example for details.
#' @param clicking (`logical`)\cr
#'  a mechanism to enable / disable clicking on data points on the main plot (in particular: not the
#'  one displayed in modal). All the clicking data is stored as a reactive object in the `"click"`
#'  element of returned list. See the example for details.
#' @param dblclicking (`logical`) optional\cr
#'  mechanism to enable / disable double-clicking on data points on the main plot (in particular:
#'  not the one displayed in modal). All the double clicking data is stored as a reactive object in
#'  the `"dblclick"` element of returned list. See the example for details.
#' @param hovering (`logical(1)`) optional\cr
#'  mechanism to enable / disable hovering over data points on the main plot (in particular: not
#'  the one displayed in modal). All the hovering data is stored as a reactive object in the
#' `"hover"` element of returned list. See the example for details.
#' @param graph_align (`character(1)`) optional,\cr
#'  one of `"left"` (default), `"center"`, `"right"` or `"justify"`. The alignment of the graph on
#'  the main page.
#'
#' @details By default the plot is rendered with `72 dpi`. In order to change this, to for example 96 set
#' `options(teal.plot_dpi = 96)`. The minimum allowed `dpi` value is `24` and it must be a whole number.
#' If an invalid value is set then the default value is used and a warning is outputted to the console.
#'
#' @return A `shiny` module.
#'
#' @examples
#' # Example using a reactive as input to plot_r
#' library(shiny)
#' library(ggplot2)
#'
#' ui <- fluidPage(
#'   plot_with_settings_ui(
#'     id = "plot_with_settings"
#'   )
#' )
#'
#' server <- function(input, output, session) {
#'   plot_r <- reactive({
#'     ggplot(faithful, aes(x = .data$waiting, y = .data$eruptions)) +
#'       geom_point()
#'   })
#'
#'   plot_with_settings_srv(
#'     id = "plot_with_settings",
#'     plot_r = plot_r,
#'     height = c(400, 100, 1200),
#'     width = c(500, 250, 750)
#'   )
#' }
#'
#' if (interactive()) {
#'   shinyApp(ui, server)
#' }
#'
#' # Example using a function as input to plot_r
#' library(lattice)
#'
#' ui <- fluidPage(
#'   radioButtons("download_option", "Select the Option", list("ggplot", "trellis", "grob", "base")),
#'   plot_with_settings_ui(
#'     id = "plot_with_settings"
#'   ),
#'   sliderInput("nums", "Value", 1, 10, 1)
#' )
#'
#' server <- function(input, output, session) {
#'   plot_r <- function() {
#'     numbers <- seq_len(input$nums)
#'     if (input$download_option == "ggplot") {
#'       ggplot(data.frame(n = numbers), aes(.data$n)) +
#'         geom_bar()
#'     } else if (input$download_option == "trellis") {
#'       densityplot(numbers)
#'     } else if (input$download_option == "grob") {
#'       tr_plot <- densityplot(numbers)
#'       ggplotGrob(
#'         ggplot(data.frame(n = numbers), aes(.data$n)) +
#'           geom_bar()
#'       )
#'     } else if (input$download_option == "base") {
#'       plot(numbers)
#'     }
#'   }
#'
#'   plot_with_settings_srv(
#'     id = "plot_with_settings",
#'     plot_r = plot_r,
#'     height = c(400, 100, 1200),
#'     width = c(500, 250, 750)
#'   )
#' }
#'
#' if (interactive()) {
#'   shinyApp(ui, server)
#' }
#'
#' # Example with brushing/hovering/clicking/double-clicking
#' ui <- fluidPage(
#'   plot_with_settings_ui(
#'     id = "plot_with_settings"
#'   ),
#'   fluidRow(
#'     column(4, tags$h3("Brush"), verbatimTextOutput("brushing_data")),
#'     column(4, tags$h3("Click"), verbatimTextOutput("clicking_data")),
#'     column(4, tags$h3("DblClick"), verbatimTextOutput("dblclicking_data")),
#'     column(4, tags$h3("Hover"), verbatimTextOutput("hovering_data"))
#'   )
#' )
#'
#' server <- function(input, output, session) {
#'   plot_r <- reactive({
#'     ggplot(faithful, aes(x = .data$waiting, y = .data$eruptions)) +
#'       geom_point()
#'   })
#'
#'   plot_data <- plot_with_settings_srv(
#'     id = "plot_with_settings",
#'     plot_r = plot_r,
#'     height = c(400, 100, 1200),
#'     brushing = TRUE,
#'     clicking = TRUE,
#'     dblclicking = TRUE,
#'     hovering = TRUE
#'   )
#'
#'   output$brushing_data <- renderPrint(plot_data$brush())
#'   output$clicking_data <- renderPrint(plot_data$click())
#'   output$dblclicking_data <- renderPrint(plot_data$dblclick())
#'   output$hovering_data <- renderPrint(plot_data$hover())
#' }
#'
#' if (interactive()) {
#'   shinyApp(ui, server)
#' }
#'
#' # Example which allows module to be hidden/shown
#' library("shinyjs")
#'
#' ui <- fluidPage(
#'   useShinyjs(),
#'   actionButton("button", "Show/Hide"),
#'   plot_with_settings_ui(
#'     id = "plot_with_settings"
#'   )
#' )
#'
#' server <- function(input, output, session) {
#'   plot_r <- plot_r <- reactive(
#'     ggplot(faithful, aes(x = .data$waiting, y = .data$eruptions)) +
#'       geom_point()
#'   )
#'
#'   show_hide_signal_rv <- reactiveVal(TRUE)
#'
#'   observeEvent(input$button, show_hide_signal_rv(!show_hide_signal_rv()))
#'
#'   plot_with_settings_srv(
#'     id = "plot_with_settings",
#'     plot_r = plot_r,
#'     height = c(400, 100, 1200),
#'     width = c(500, 250, 750),
#'     show_hide_signal = reactive(show_hide_signal_rv())
#'   )
#' }
#'
#' if (interactive()) {
#'   shinyApp(ui, server)
#' }
#'
plot_with_settings_srv <- function(id,
                                   plot_r,
                                   height = c(600, 200, 2000),
                                   width = NULL,
                                   show_hide_signal = reactive(TRUE),
                                   brushing = FALSE,
                                   clicking = FALSE,
                                   dblclicking = FALSE,
                                   hovering = FALSE,
                                   graph_align = "left") {
  checkmate::assert_string(id)
  checkmate::assert(
    checkmate::check_class(plot_r, "function"),
    checkmate::check_class(plot_r, "reactive")
  )
  checkmate::assert_numeric(height, min.len = 1, any.missing = FALSE)
  checkmate::assert_numeric(height, len = 3, any.missing = FALSE, finite = TRUE)
  checkmate::assert_numeric(height[1], lower = height[2], upper = height[3], .var.name = "height")
  checkmate::assert_numeric(width, len = 3, any.missing = FALSE, null.ok = TRUE, finite = TRUE)
  checkmate::assert_numeric(width[1], lower = width[2], upper = width[3], null.ok = TRUE, .var.name = "width")

  checkmate::assert_class(show_hide_signal, c("reactive", "function"))
  checkmate::assert_flag(brushing)
  checkmate::assert_flag(clicking)
  checkmate::assert_flag(dblclicking)
  checkmate::assert_flag(hovering)
  checkmate::assert_string(graph_align)
  checkmate::assert_subset(graph_align, c("left", "right", "center", "justify"))

  moduleServer(id, function(input, output, session) {
    ns <- session$ns
    default_w <- function() session$clientData[[paste0("output_", ns("plot_main_width"))]]
    default_h <- function() session$clientData[[paste0("output_", ns("plot_main_height"))]]

    default_slider_width <- reactiveVal(width)
    delayed_flex_width <- debounce(reactive(input$flex_width), millis = 100)

    if (is.null(width)) {
      # if width = NULL then set default_slider_width to be the value of the plot width on load
      observeEvent(session$clientData[[paste0("output_", ns("plot_main_width"))]],
        handlerExpr = {
          default_slider_width(default_w() * c(1, 0.5, 2.8))
        },
        once = TRUE,
        ignoreNULL = TRUE
      )

      observeEvent(delayed_flex_width(), {
        if (delayed_flex_width() > 0 && !isFALSE(input$width_resize_switch)) {
          default_slider_width(delayed_flex_width() * c(1, 0.5, 2.8))
          updateSliderInput(session, inputId = "width", value = delayed_flex_width())
        }
      })
    }

    plot_type <- reactive({
      if (inherits(plot_r(), "ggplot")) {
        "gg"
      } else if (inherits(plot_r(), "trellis")) {
        "trel"
      } else if (inherits(plot_r(), "grob")) {
        "grob"
      } else if (inherits(plot_r(), c("NULL", "histogram", "list")) && !inherits(plot_r, "reactive")) {
        "base"
      } else {
        "other"
      }
    })

    # allow modules which use this module to turn on and off the UI
    observeEvent(show_hide_signal(), {
      if (show_hide_signal()) {
        shinyjs::show("plot-with-settings")
      } else {
        shinyjs::hide("plot-with-settings")
      }
    })

    output$slider_ui <- renderUI({
      tags$div(
        optionalSliderInputValMinMax(
          inputId = ns("height"),
          label = "Plot height",
          value_min_max = round(height),
          ticks = FALSE,
          step = 1L,
          round = TRUE
        ),
        tags$b("Plot width"),
        shinyWidgets::switchInput(
          inputId = ns("width_resize_switch"),
          onLabel = "ON",
          offLabel = "OFF",
          label = "Auto width",
          value = `if`(is.null(width), TRUE, FALSE),
          size = "mini",
          labelWidth = "80px"
        ),
        optionalSliderInputValMinMax(
          inputId = ns("width"),
          label = NULL,
          value_min_max = round(isolate(default_slider_width())),
          ticks = FALSE,
          step = 1L,
          round = TRUE
        )
      )
    })

    observeEvent(input$width_resize_switch | delayed_flex_width(), {
      if (length(input$width_resize_switch) && input$width_resize_switch) {
        shinyjs::disable("width")
        updateSliderInput(session, inputId = "width", value = delayed_flex_width())
      } else {
        shinyjs::enable("width")
      }
    })

    ranges <- reactiveValues(x = NULL, y = NULL)

    observeEvent(input$plot_dblclick, {
      brush <- input$plot_brush
      if (!is.null(brush)) {
        ranges$x <- c(brush$xmin, brush$xmax)
        ranges$y <- c(brush$ymin, brush$ymax)
      } else {
        ranges$x <- NULL
        ranges$y <- NULL
      }
    })

    p_height <- reactive(`if`(!is.null(input$height), input$height, height[1]))
    p_width <- reactive(`if`(!is.null(input$width), input$width, default_slider_width()[1]))
    output$plot_main <- renderPlot(
      apply_plot_modifications(
        plot_obj = plot_suppress(plot_r()),
        plot_type = plot_suppress(plot_type()),
        dblclicking = dblclicking,
        ranges = ranges
      ),
      res = get_plot_dpi(),
      height = p_height,
      width = p_width
    )

    output$plot_modal <- renderPlot(
      apply_plot_modifications(
        plot_obj = plot_suppress(plot_r()),
        plot_type = plot_suppress(plot_type()),
        dblclicking = dblclicking,
        ranges = ranges
      ),
      res = get_plot_dpi(),
      height = reactive(input$height_in_modal),
      width = reactive(input$width_in_modal)
    )

    output$plot_out_main <- renderUI({
      req(plot_suppress(plot_r()))
      tags$div(
        align = graph_align,
        plotOutput(
          ns("plot_main"),
          height = "100%",
          brush = `if`(brushing, brushOpts(ns("plot_brush"), resetOnNew = FALSE), NULL),
          click = `if`(clicking, clickOpts(ns("plot_click")), NULL),
          dblclick = `if`(dblclicking, dblclickOpts(ns("plot_dblclick")), NULL),
          hover = `if`(hovering, hoverOpts(ns("plot_hover")), NULL)
        )
      )
    })

    output$width_warning <- renderUI({
      grDevices::pdf(NULL) # reset Rplots.pdf for shiny server
      w <- grDevices::dev.size("px")[1]
      grDevices::dev.off()
      if (p_width() < w) {
        helpText(
          icon("triangle-exclamation"),
          "Plot might be cut off for small widths."
        )
      }
    })

    type_download_srv(
      id = "downbutton",
      plot_reactive = plot_r,
      plot_type = plot_type,
      plot_w = p_width,
      default_w = default_w,
      plot_h = p_height,
      default_h = default_h
    )

    output$plot_out_modal <- renderUI({
      plotOutput(ns("plot_modal"), height = input$height_in_modal, width = input$width_in_modal)
    })

    observeEvent(input$expand, {
      showModal(
        tags$div(
          class = "plot-modal",
          modalDialog(
            easyClose = TRUE,
            tags$div(
              class = "plot-modal-sliders",
              optionalSliderInputValMinMax(
                inputId = ns("height_in_modal"),
                label = "Plot height",
                value_min_max = round(c(p_height(), height[2:3])),
                ticks = FALSE,
                step = 1L,
                round = TRUE
              ),
              optionalSliderInputValMinMax(
                inputId = ns("width_in_modal"),
                label = "Plot width",
                value_min_max = round(c(
                  ifelse(
                    is.null(input$width) || !isFALSE(input$width_resize_switch),
                    ifelse(
                      is.null(input$plot_modal_width) || input$plot_modal_width > default_slider_width()[3],
                      default_slider_width()[1],
                      input$plot_modal_width
                    ),
                    input$width
                  ),
                  default_slider_width()[2:3]
                )),
                ticks = FALSE,
                step = 1L,
                round = TRUE
              )
            ),
            tags$div(
              class = "float-right",
              type_download_ui(ns("modal_downbutton"))
            ),
            tags$div(
              align = "center",
              uiOutput(ns("plot_out_modal"), class = "plot_out_container")
            )
          )
        )
      )
    })

    type_download_srv(
      id = "modal_downbutton",
      plot_reactive = plot_r,
      plot_type = plot_type,
      plot_w = reactive(input$width_in_modal),
      default_w = default_w,
      plot_h = reactive(input$height_in_modal),
      default_h = default_h
    )

    return(
      list(
        brush = reactive({
          # refresh brush data on the main plot size change
          input$height
          input$width
          input$plot_brush
        }),
        click = reactive({
          # refresh click data on the main plot size change
          input$height
          input$width
          input$plot_click
        }),
        dblclick = reactive({
          # refresh double click data on the main plot size change
          input$height
          input$width
          input$plot_dblclick
        }),
        hover = reactive({
          # refresh hover data on the main plot size change
          input$height
          input$width
          input$plot_hover
        }),
        dim = reactive(c(p_width(), p_height()))
      )
    )
  })
}

#' @keywords internal
type_download_ui <- function(id) {
  ns <- NS(id)
  shinyWidgets::dropdownButton(
    circle = FALSE,
    icon = icon("download"),
    inline = TRUE,
    right = TRUE,
    label = "",
    inputId = ns("downl"),
    tags$div(
      radioButtons(ns("file_format"),
        label = "File type",
        choices = c("png" = "png", "pdf" = "pdf", "svg" = "svg"),
      ),
      textInput(ns("file_name"),
        label = "File name (without extension)",
        value = paste0("plot_", strftime(Sys.time(), format = "%Y%m%d_%H%M%S"))
      ),
      conditionalPanel(
        condition = paste0("input['", ns("file_name"), "'] != ''"),
        downloadButton(ns("data_download"), label = character(0), class = "btn-sm w-full")
      )
    )
  )
}

#' @keywords internal
type_download_srv <- function(id, plot_reactive, plot_type, plot_w, default_w, plot_h, default_h) {
  moduleServer(
    id,
    function(input, output, session) {
      output$data_download <- downloadHandler(
        filename = function() {
          paste(input$file_name, input$file_format, sep = ".")
        },
        content = function(file) {
          width <- `if`(!is.null(plot_w()), plot_w(), default_w())
          height <- `if`(!is.null(plot_h()), plot_h(), default_h())

          # svg and pdf have width in inches and 1 inch = get_plot_dpi() pixels
          switch(input$file_format,
            png = grDevices::png(file, width, height),
            pdf = grDevices::pdf(file, width / get_plot_dpi(), height / get_plot_dpi()),
            svg = grDevices::svg(file, width / get_plot_dpi(), height / get_plot_dpi())
          )

          print_plot(plot_reactive, plot_type)

          grDevices::dev.off()
        }
      )
    }
  )
}

#' Clean brushed points
#'
#' @description `r lifecycle::badge("stable")`\cr
#' Cleans and organizes output to account for NAs and remove empty rows. Wrapper around `shiny::brushedPoints`.
#' @param data (`data.frame`)\cr
#'  A data.frame from which to select rows.
#' @param brush (`list`)\cr
#'  The data from a brush e.g. `input$plot_brush`.
#'
#' @return A `data.frame` of selected rows.
#'
#' @examples
#'
#' brush <- list(
#'   mapping = list(
#'     x = "AGE",
#'     y = "BMRKR1"
#'   ),
#'   xmin = 30, xmax = 40,
#'   ymin = 0.7, ymax = 10,
#'   direction = "xy"
#' )
#'
#' data <- data.frame(
#'   STUDYID = letters[1:20],
#'   USUBJID = LETTERS[1:20],
#'   AGE = sample(25:40, size = 20, replace = TRUE),
#'   BMRKR1 = runif(20, min = 0, max = 12)
#' )
#' nrow(clean_brushedPoints(data, brush))
#' data$AGE[1:10] <- NA
#' nrow(clean_brushedPoints(data, brush))
#'
#' @export
#'
clean_brushedPoints <- function(data, brush) { # nolint object_name_linter.
  checkmate::assert_data_frame(data)
  checkmate::assert_list(brush, null.ok = TRUE)

  # define original panelvar1 and panelvar2 before getting overwritten
  original_panelvar1 <- brush$mapping$panelvar1
  original_panelvar2 <- brush$mapping$panelvar2

  # Assign NULL to `mapping$panelvar1` and `mapping$panelvar1` if `brush$panelvar1` and `brush$panelvar1` are NULL
  # This will not evaluate the `panelMatch` step in `brushedPoints` and thus will return a non empty dataframe
  if (is.null(brush$panelvar1)) brush$mapping$panelvar1 <- NULL
  if (is.null(brush$panelvar2)) brush$mapping$panelvar2 <- NULL

  bp_df <- brushedPoints(data, brush)

  # Keep required rows only based on the value of `brush$panelvar1`
  df <- if (is.null(brush$panelvar1) && is.character(original_panelvar1) &&
    is.null(brush$panelvar2) && is.character(original_panelvar2)) {
    df_var1 <- bp_df[is.na(bp_df[[original_panelvar1]]), ]
    df_var1[is.na(df_var1[[original_panelvar2]]), ]
  } else if (is.null(brush$panelvar1) && is.character(original_panelvar1)) {
    bp_df[is.na(bp_df[[original_panelvar1]]), ]
  } else if (is.null(brush$panelvar2) && is.character(original_panelvar2)) {
    bp_df[is.na(bp_df[[original_panelvar2]]), ]
  } else {
    bp_df
  }

  # filter out rows that are only NAs
  df <- df[rowSums(is.na(df)) != ncol(df), ]
  df
}

#' @keywords internal
#'
get_plot_dpi <- function() {
  default_dpi <- 72
  dpi <- getOption("teal.plot_dpi", default_dpi)
  if (!checkmate::test_integerish(dpi, lower = 24, any.missing = FALSE, len = 1)) {
    warning(paste("Invalid value for option 'teal.plot_dpi', therefore defaulting to", default_dpi, "dpi"))
    dpi <- default_dpi
  }
  dpi
}

#' Print plot for download functionality
#'
#' @param plot (`reactive`)\cr
#'  reactive expression to draw a plot
#' @param plot_type (`reactive`)\cr
#'  reactive plot type (`gg`, `trel`, `grob`, `other`)
#'
#' @return Nothing returned, the plot is printed.
#' @keywords internal
#'
print_plot <- function(plot, plot_type) {
  switch(plot_type(),
    "grob" = grid::grid.draw(plot()),
    "other" = {
      graphics::plot.new()
      graphics::text(
        x = graphics::grconvertX(0.5, from = "npc"),
        y = graphics::grconvertY(0.5, from = "npc"),
        labels = "This plot graphic type is not yet supported to download"
      )
    },
    "base" = plot(),
    print(plot())
  )
}

#' @name table_with_settings
#'
#' @title `table_with_settings` module
#'
#' @description `r lifecycle::badge("stable")`\cr
#' Module designed to create a `shiny` table output based on `rtable` object (`ElementaryTable` or `TableTree`) input.
#' @inheritParams shiny::moduleServer
#' @param ... (`character`)\cr
#'  Useful for providing additional HTML classes for the output tag.
#'
#' @rdname table_with_settings
#' @export
#'
table_with_settings_ui <- function(id, ...) {
  checkmate::assert_string(id)

  ns <- NS(id)

  tagList(
    include_css_files("table_with_settings"),
    tags$div(
      id = ns("table-with-settings"),
      tags$div(
        class = "table-settings-buttons",
        type_download_ui_table(ns("downbutton")),
        actionButton(
          inputId = ns("expand"), label = character(0),
          icon = icon("up-right-and-down-left-from-center"), class = "btn-sm"
        ),
      ),
      tags$div(
        class = "table-settings-table",
        uiOutput(ns("table_out_main"), width = "100%", ...)
      )
    )
  )
}

#' @inheritParams shiny::moduleServer
#' @param table_r (`reactive`)\cr
#'  reactive expression that yields an `rtable` object (`ElementaryTable` or `TableTree`)
#' @param show_hide_signal (`reactive logical`) optional\cr
#'  mechanism to allow modules which call this module to show/hide the table_with_settings UI.
#'
#' @rdname table_with_settings
#'
#' @return A `shiny` module.
#'
#' @export
#'
#' @examples
#' library(shiny)
#' library(rtables)
#' library(magrittr)
#'
#' ui <- fluidPage(
#'   table_with_settings_ui(
#'     id = "table_with_settings"
#'   )
#' )
#'
#' server <- function(input, output, session) {
#'   table_r <- reactive({
#'     l <- basic_table() %>%
#'       split_cols_by("ARM") %>%
#'       analyze(c("SEX", "AGE"))
#'
#'     tbl <- build_table(l, DM)
#'
#'     tbl
#'   })
#'
#'   table_with_settings_srv(id = "table_with_settings", table_r = table_r)
#' }
#'
#' if (interactive()) {
#'   shinyApp(ui, server)
#' }
#'
table_with_settings_srv <- function(id, table_r, show_hide_signal = reactive(TRUE)) {
  checkmate::assert_class(table_r, c("reactive", "function"))
  checkmate::assert_class(show_hide_signal, c("reactive", "function"))

  if (!requireNamespace("rtables", quietly = TRUE)) {
    stop("package rtables is required, please install")
  }

  moduleServer(id, function(input, output, session) {
    ns <- session$ns
    # Turn on and off the UI
    observeEvent(show_hide_signal(), {
      if (show_hide_signal()) {
        shinyjs::show("table-with-settings")
      } else {
        shinyjs::hide("table-with-settings")
      }
    })

    output$table_out_main <- output$table_out_modal <- renderUI({
      rtables::as_html(table_r())
    })

    type_download_srv_table(
      id = "downbutton",
      table_reactive = table_r
    )

    observeEvent(input$expand, {
      showModal(
        tags$div(
          class = "table-modal",
          modalDialog(
            easyClose = TRUE,
            tags$div(
              class = "float-right",
              type_download_ui_table(ns("modal_downbutton"))
            ),
            uiOutput(ns("table_out_modal"), class = "table_out_container")
          )
        )
      )
    })

    type_download_srv_table(
      id = "modal_downbutton",
      table_reactive = table_r
    )
  })
}

type_download_ui_table <- function(id) {
  ns <- NS(id)
  shinyWidgets::dropdownButton(
    circle = FALSE,
    icon = icon("download"),
    inline = TRUE,
    right = TRUE,
    label = "",
    inputId = ns("dwnl"),
    tags$div(
      class = "modal-download-ui-table-container",
      radioButtons(ns("file_format"),
        label = "File type",
        choices = c("formatted txt" = ".txt", "csv" = ".csv", "pdf" = ".pdf"),
      ),
      textInput(ns("file_name"),
        label = "File name (without extension)",
        value = paste0("table_", strftime(Sys.time(), format = "%Y%m%d_%H%M%S"))
      ),
      conditionalPanel(
        condition = paste0("input['", ns("file_format"), "'] != '.csv'"),
        tags$div(
          class = "lock-btn",
          title = "on / off",
          shinyWidgets::prettyToggle(
            ns("pagination_switch"),
            value = FALSE,
            label_on = NULL,
            label_off = NULL,
            status_on = "default",
            status_off = "default",
            outline = FALSE,
            plain = TRUE,
            icon_on = icon("fas fa-toggle-off"),
            icon_off = icon("fas fa-toggle-on"),
            animation = "pulse"
          )
        ),
        tags$div(
          class = "paginate-ui",
          shinyWidgets::numericInputIcon(
            inputId = ns("lpp"),
            label = "Paginate table:",
            value = 70,
            icon = list("lines / page")
          ),
          uiOutput(ns("lpp_warning"))
        )
      ),
      conditionalPanel(
        condition = paste0("input['", ns("file_name"), "'] != ''"),
        downloadButton(ns("data_download"), label = character(0), class = "btn-sm w-full")
      )
    )
  )
}

type_download_srv_table <- function(id, table_reactive) {
  moduleServer(
    id,
    function(input, output, session) {
      observeEvent(input$pagination_switch, {
        if (input$pagination_switch) {
          shinyjs::enable("lpp")
        } else {
          shinyjs::disable("lpp")
        }
      })

      output$lpp_warning <- renderUI({
        catch_warning <- if (input$file_format != ".csv" && input$pagination_switch) {
          try(rtables::paginate_table(
            tt = table_reactive(),
            lpp = as.numeric(input$lpp)
          ))
        }

        if (inherits(catch_warning, "try-error")) {
          helpText(
            class = "error",
            icon("triangle-exclamation"),
            "Maximum lines per page includes the reprinted header. Please enter a numeric value or increase the value."
          )
        }
      })

      output$data_download <- downloadHandler(
        filename = function() {
          paste0(input$file_name, input$file_format)
        },
        content = function(file) {
          if (input$file_format == ".txt") {
            rtables::export_as_txt(
              x = table_reactive(),
              file = file,
              paginate = input$pagination_switch,
              lpp = if (input$pagination_switch) as.numeric(input$lpp)
            )
          } else if (input$file_format == ".csv") {
            result <- rtables::matrix_form(table_reactive())$strings
            utils::write.table(
              x = result,
              file = file,
              sep = ",",
              col.names = FALSE,
              row.names = TRUE,
              append = FALSE
            )
          } else {
            rtables::export_as_pdf(
              x = table_reactive(),
              file = file,
              paginate = input$pagination_switch,
              lpp = if (input$pagination_switch) as.numeric(input$lpp)
            )
          }
        }
      )
    }
  )
}

#' Creates `ggplot2_args` object
#'
#' @description `r lifecycle::badge("experimental")`
#' Constructor of `ggplot2_args` class of objects.
#' The `ggplot2_args` argument should be a part of every module which contains any `ggplot2` graphics.
#' The function arguments are validated to match their `ggplot2` equivalents.
#'
#' For more details see the vignette: `vignette("custom-ggplot2-arguments", package = "teal.widgets")`.
#'
#' @seealso
#' * [resolve_ggplot2_args()] to resolve multiple objects into one using pre-defined priorities.
#' * [parse_ggplot2_args()] to parse resolved list into list of calls.
#'
#' @param labs (named `list`)\cr
#'  where all fields have to match [ggplot2::labs()] arguments.
#' @param theme (named `list`)\cr
#'  where all fields have to match [ggplot2::theme()] arguments.
#'
#' @return (`ggplot2_args`) object.
#' @export
#' @examples
#' ggplot2_args(
#'   labs = list(title = "TITLE"),
#'   theme = list(title = ggplot2::element_text(size = 20))
#' )
ggplot2_args <- function(labs = list(), theme = list()) {
  checkmate::assert_list(labs)
  checkmate::assert_list(theme)
  checkmate::assert_character(names(labs), unique = TRUE, null.ok = TRUE)
  checkmate::assert_character(names(theme), unique = TRUE, null.ok = TRUE)

  ggplot2_theme <- methods::formalArgs(ggplot2::theme)
  # utils::getFromNamespace is not recommended nevertheless needed as it is replacing `:::`.
  # usage of static values will be vulnerable to any changes in ggplot2 aesthetics.
  ggplot2_labs <- c(
    utils::getFromNamespace(".all_aesthetics", "ggplot2"),
    methods::formalArgs(ggplot2::labs)
  )
  checkmate::assert_subset(names(labs), choices = ggplot2_labs, empty.ok = TRUE)
  checkmate::assert_subset(names(theme), choices = ggplot2_theme, empty.ok = TRUE)

  structure(list(labs = labs, theme = theme), class = "ggplot2_args")
}

#' Resolving and reducing multiple `ggplot2_args` objects
#'
#' @description `r lifecycle::badge("experimental")`
#' Resolving and reducing multiple `ggplot2_args` objects.
#' This function is intended to utilize user provided settings, defaults provided by the module creator and
#' also `teal` option. See `Details`, below, to understand the logic.
#'
#' @seealso [parse_ggplot2_args()] to parse resolved list into list of calls.
#'
#' @param user_plot (`ggplot2_args`)\cr
#'  end user setup for theme and labs in the specific plot.
#'  Created with the [ggplot2_args()] function. The `NULL` value is supported.
#' @param user_default (`ggplot2_args`)\cr
#'  end user setup for module default theme and labs.
#'  Created with the [ggplot2_args()] function. The `NULL` value is supported.
#' @param module_plot (`ggplot2_args`)\cr
#'  module creator setup for theme and labs in the specific plot.
#'  Created with the [ggplot2_args()] function. The `NULL` value is supported.
#' @param app_default (`ggplot2_args`)\cr
#'  Application level setting. Can be `NULL`.
#'
#' @return `ggplot2_args` object.
#'
#' @details
#' The function picks the first non `NULL` value for each argument, checking in the following order:
#' 1. `ggplot2_args` argument provided by the end user.
#' Per plot (`user_plot`) and then default (`user_default`) setup.
#' 2. `app_default` global R variable, `teal.ggplot2_args`.
#' 3. `module_plot` which is a module creator setup.
#' @export
#' @examples
#' resolve_ggplot2_args(
#'   user_plot = ggplot2_args(
#'     labs = list(title = "TITLE"),
#'     theme = list(title = ggplot2::element_text(size = 20))
#'   ),
#'   user_default = ggplot2_args(
#'     labs = list(x = "XLAB")
#'   )
#' )
resolve_ggplot2_args <- function(user_plot = ggplot2_args(),
                                 user_default = ggplot2_args(),
                                 module_plot = ggplot2_args(),
                                 app_default = getOption("teal.ggplot2_args", ggplot2_args())) {
  checkmate::assert_class(user_plot, "ggplot2_args", null.ok = TRUE)
  checkmate::assert_class(user_default, "ggplot2_args", null.ok = TRUE)
  checkmate::assert_class(module_plot, "ggplot2_args", null.ok = TRUE)
  checkmate::assert_class(app_default, "ggplot2_args", null.ok = TRUE)

  ggplot2_args_all <- list(
    "plot" = user_plot,
    "default" = user_default,
    "teal" = app_default,
    "module" = module_plot
  )

  labs_args <- Reduce(`c`, lapply(ggplot2_args_all, function(x) x$labs))
  labs_args <- if (is.null(labs_args)) list() else labs_args[!duplicated(names(labs_args))]

  theme_args <- Reduce(`c`, lapply(ggplot2_args_all, function(x) x$theme))
  theme_args <- if (is.null(theme_args)) list() else theme_args[!duplicated(names(theme_args))]

  ggplot2_args(labs = labs_args, theme = theme_args)
}

#' Parse `ggplot2_args` object into the `ggplot2` expression
#'
#' @description `r lifecycle::badge("experimental")`
#' A function to parse expression from the `ggplot2_args` object.
#' @param ggplot2_args (`ggplot2_args`)\cr
#'  This argument could be a result of the [resolve_ggplot2_args()].
#' @param ggtheme (`character(1)`)\cr
#'  name of the `ggplot2` theme to be applied, e.g. `"dark"`.
#'
#' @return (`list`) of up to three elements of class `languange`: `"labs"`, `"ggtheme"` and `"theme"`.
#' @export
#' @examples
#' parse_ggplot2_args(
#'   resolve_ggplot2_args(ggplot2_args(
#'     labs = list(title = "TITLE"),
#'     theme = list(title = ggplot2::element_text(size = 20))
#'   ))
#' )
#'
#' parse_ggplot2_args(
#'   resolve_ggplot2_args(
#'     ggplot2_args(
#'       labs = list(title = "TITLE"),
#'       theme = list(title = ggplot2::element_text(size = 20))
#'     )
#'   ),
#'   ggtheme = "gray"
#' )
parse_ggplot2_args <- function(ggplot2_args = teal.widgets::ggplot2_args(),
                               ggtheme = c(
                                 "default",
                                 "gray",
                                 "bw",
                                 "linedraw",
                                 "light",
                                 "dark",
                                 "minimal",
                                 "classic",
                                 "void",
                                 "test"
                               )) {
  checkmate::assert_class(ggplot2_args, "ggplot2_args")
  ggtheme <- match.arg(ggtheme)

  res_list <- list()

  labs_args <- ggplot2_args$labs

  labs_f <- if (length(labs_args)) {
    as.call(c(list(quote(ggplot2::labs)), labs_args))
  } else {
    NULL
  }

  default_theme <- if (ggtheme != "default") {
    as.call(list(str2lang(paste0("ggplot2::theme_", ggtheme))))
  } else {
    NULL
  }

  theme_args <- ggplot2_args$theme

  theme_f <- if (length(theme_args)) {
    as.call(c(list(quote(ggplot2::theme)), theme_args))
  } else {
    NULL
  }

  final_list <- Filter(Negate(is.null), list(labs = labs_f, ggtheme = default_theme, theme = theme_f))
  # For empty final_list we want to return empty list, not empty named list
  `if`(length(final_list) == 0, list(), final_list)
}

#' Builds a `basic_table_args` object
#'
#' @description `r lifecycle::badge("experimental")`
#' This function has to be used to build an input for a `basic_table_args` argument.
#' The `basic_table_args` argument should be a part of every module which contains any `rtables` object.
#' Arguments are validated to match their `rtables` equivalents.
#'
#' For more details see the vignette: `vignette("custom-basic-table-arguments", package = "teal.widgets")`.
#'
#' @seealso
#' * [resolve_basic_table_args()] to resolve multiple objects into one using pre-defined priorities.
#' * [parse_basic_table_args()] to parse resolved list into list of calls.
#'
#' @param ... arguments compatible with [rtables::basic_table()].
#'
#' @return (`basic_table_args`) object.
#' @export
#' @examples
#' basic_table_args(subtitles = "SUBTITLE")
basic_table_args <- function(...) {
  table_args_l <- list(...)
  checkmate::assert_character(names(table_args_l), unique = TRUE, null.ok = TRUE)

  basic_table_formals <- methods::formalArgs(rtables::basic_table)
  checkmate::assert_subset(names(table_args_l), choices = basic_table_formals, empty.ok = TRUE)

  structure(table_args_l, class = "basic_table_args")
}

#' Resolves and reduces multiple `basic_table_args` objects
#'
#' @description `r lifecycle::badge("experimental")`
#' Resolving and reducing multiple `basic_table_args` objects.
#' This function is intended to utilize user provided settings, defaults provided by the module creator and
#' also `teal` option. See `Details`, below, to understand the logic.
#'
#' @seealso [parse_basic_table_args()] to parse resolved list into list of calls.
#'
#' @param user_table (`basic_table_args`)\cr
#'  end user setup for [rtables::basic_table()] of a specific table.
#'  Created with the [basic_table_args()] function. The `NULL` value is supported.
#' @param user_default (`basic_table_args`)\cr
#'  end user default setup for [rtables::basic_table()]
#'  of a specific table. Created with the [basic_table_args()] function. The `NULL` value is supported.
#' @param module_table (`ggplot2_args`)\cr
#'  module creator setup for [rtables::basic_table()] of a specific table.
#'  Created with the [basic_table_args()] function. The `NULL` value is supported.
#' @param app_default (`basic_table_args`)\cr
#'  Application level setting. Can be `NULL`.
#'
#' @return `basic_table_args` object.
#' @details
#' The function picks the first non `NULL` value for each argument, checking in the following order:
#' 1. `basic_table_args` argument provided by the end user.
#' Per table (`user_table`) and then default (`user_default`) setup.
#' 2. `app_default` global R variable, `teal.basic_table_args`.
#' 3. `module_table` which is a module creator setup.
#' @export
#' @examples
#' resolve_basic_table_args(
#'   user_table = basic_table_args(title = "TITLE"),
#'   user_default = basic_table_args(title = "DEFAULT_TITLE", subtitles = "SUBTITLE")
#' )
resolve_basic_table_args <- function(user_table = basic_table_args(),
                                     user_default = basic_table_args(),
                                     module_table = basic_table_args(),
                                     app_default = getOption("teal.basic_table_args", basic_table_args())) {
  checkmate::assert_class(user_table, "basic_table_args", null.ok = TRUE)
  checkmate::assert_class(user_default, "basic_table_args", null.ok = TRUE)
  checkmate::assert_class(module_table, "basic_table_args", null.ok = TRUE)
  checkmate::assert_class(app_default, "basic_table_args", null.ok = TRUE)

  table_args_all <- list(
    "table" = user_table,
    "default" = user_default,
    "teal" = app_default,
    "module" = module_table
  )

  table_args_f <- Reduce(`c`, table_args_all)

  if (length(table_args_f) == 0) {
    basic_table_args()
  } else {
    do.call(basic_table_args, table_args_f[!duplicated(names(table_args_f))])
  }
}

#' Parses `basic_table_args` object into the `basic_table` expression
#'
#' @description `r lifecycle::badge("experimental")`
#' A function to parse expression from the `basic_table_args` object.
#' @param basic_table_args (`basic_table_args`)\cr
#'  This argument could be a result of the [`resolve_basic_table_args()`].
#'
#' @return (`language`) the `rtables::basic_table()` filled with additional arguments.
#' @export
#' @examples
#' parse_basic_table_args(
#'   resolve_basic_table_args(
#'     user_table = basic_table_args(title = "TITLE"),
#'     user_default = basic_table_args(title = "DEFAULT_TITLE", subtitles = "SUBTITLE")
#'   )
#' )
parse_basic_table_args <- function(basic_table_args = teal.widgets::basic_table_args()) {
  checkmate::assert_class(basic_table_args, "basic_table_args", null.ok = TRUE)

  if (length(basic_table_args) == 0) {
    quote(rtables::basic_table())
  } else {
    as.call(c(list(quote(rtables::basic_table)), basic_table_args))
  }
}

#' @title Draggable Buckets
#' @description  `r lifecycle::badge("experimental")`
#' A custom widget with draggable elements that can be put into buckets.
#'
#' @param input_id (`character(1)`) the `HTML` id of this widget
#' @param label (`character(1)` or `shiny.tag`) the header of this widget
#' @param elements (`character`) the elements to drag into buckets
#' @param buckets (`character` or `list`) the names of the buckets the elements can be put in or a list of key-pair
#' values where key is a name of a bucket and value is a character vector of elements in a bucket
#'
#' @return the `HTML` code comprising an instance of this widget
#' @export
#'
#' @details `shinyvalidate` validation can be used with this widget. See example below.
#'
#' @examples
#' library(shiny)
#'
#' ui <- fluidPage(
#'   draggable_buckets("id", "Choices #1", c("a", "b"), c("bucket1", "bucket2")),
#'   draggable_buckets("id2", "Choices #2", letters, c("vowels", "consonants")),
#'   verbatimTextOutput("out"),
#'   verbatimTextOutput("out2")
#' )
#' server <- function(input, output) {
#'   iv <- shinyvalidate::InputValidator$new()
#'   iv$add_rule(
#'     "id",
#'     function(data) if (length(data[["bucket1"]]) == 0) "There should be stuff in bucket 1"
#'   )
#'   iv$enable()
#'
#'   observeEvent(list(input$id, input$id2), {
#'     print(isolate(input$id))
#'     print(isolate(input$id2))
#'   })
#'   output$out <- renderPrint({
#'     iv$is_valid()
#'     input$id
#'   })
#'   output$out2 <- renderPrint(input$id2)
#' }
#' if (interactive()) shinyApp(ui, server)
#'
#' # With default elements in the bucket
#' ui <- fluidPage(
#'   draggable_buckets("id", "Choices #1", c("a", "b"), list(bucket1 = character(), bucket2 = c("c"))),
#'   verbatimTextOutput("out")
#' )
#' server <- function(input, output) {
#'   observeEvent(input$id, {
#'     print(isolate(input$id))
#'   })
#'   output$out <- renderPrint(input$id)
#' }
#' if (interactive()) shinyApp(ui, server)
draggable_buckets <- function(input_id, label, elements = character(), buckets) {
  checkmate::assert_string(input_id)
  checkmate::assert_true(inherits(label, "character") || inherits(label, "shiny.tag"))
  checkmate::assert_character(c(elements, unlist(buckets)), min.len = 0, null.ok = TRUE, unique = TRUE)
  checkmate::assert(
    checkmate::check_character(buckets, min.len = 1),
    checkmate::check_list(buckets, types = "character", names = "unique")
  )

  elements_iterator <- new.env(parent = emptyenv())
  elements_iterator$it <- 0

  shiny::tagList(
    shiny::singleton(tags$head(
      shiny::includeScript(system.file("widgets/draggable_buckets.js", package = "teal.widgets"))
    )),
    include_css_files("draggable_buckets.css"),
    shiny::div(
      tags$span(label),
      render_unbucketed_elements(elements = elements, elements_iterator = elements_iterator, widget_id = input_id),
      render_buckets(buckets = buckets, elements_iterator = elements_iterator, widget_id = input_id),
      class = "draggableBuckets",
      id = input_id
    )
  )
}

render_unbucketed_elements <- function(elements, elements_iterator, widget_id) {
  tags$div(
    lapply(elements, function(element) {
      elements_iterator$it <- elements_iterator$it + 1
      render_draggable_element(
        value = element,
        id = paste0(widget_id, "draggable", elements_iterator$it),
        widget_id = widget_id
      )
    }),
    id = paste0(widget_id, "elements"),
    class = c("form-control", "elements"),
    ondragover = "allowDrop(event)",
    ondrop = "drop(event)",
    `data-widget` = widget_id
  )
}

render_buckets <- function(buckets, elements_iterator, widget_id) {
  buckets <- `if`(
    is.list(buckets),
    lapply(names(buckets), function(bucket_name) {
      render_bucket(
        name = bucket_name,
        elements = buckets[[bucket_name]],
        elements_iterator = elements_iterator,
        widget_id = widget_id
      )
    }),
    lapply(buckets, render_bucket, widget_id = widget_id, elements_iterator = elements_iterator)
  )
  shiny::tagList(buckets)
}

render_draggable_element <- function(value, id, widget_id) {
  tags$div(
    value,
    id = id,
    class = "element",
    draggable = "true",
    ondragstart = "drag(event)",
    ondragover = "allowDrop(event)",
    ondrop = "dropReorder(event)",
    `data-widget` = widget_id
  )
}

render_bucket <- function(name, elements = NULL, elements_iterator = NULL, widget_id = NULL) {
  tags$div(
    tags$div(
      paste0(name, ":"),
      class = "bucket-name",
      ondragover = "allowDrop(event)",
      ondrop = "dropBucketName(event)",
      `data-widget` = widget_id
    ),
    lapply(elements, function(element) {
      elements_iterator$it <- elements_iterator$it + 1
      render_draggable_element(
        value = element,
        id = paste0(widget_id, "draggable", elements_iterator$it),
        widget_id = widget_id
      )
    }),
    class = c("form-control", "bucket"),
    ondragover = "allowDrop(event)",
    ondrop = "drop(event)",
    `data-label` = name,
    `data-widget` = widget_id
  )
}

#' Standard UI layout
#'
#' @description `r lifecycle::badge("stable")`\cr
#' Create a standard UI layout with output on the right and an encoding panel on
#' the left. This is the layout used by the `teal` modules.
#'
#' @param output (`shiny.tag`)\cr
#'   object with the output element (table, plot, listing) such as for example returned
#' by [shiny::plotOutput()].
#' @param encoding (`shiny.tag`)\cr
#'  object containing the encoding elements. If this element is `NULL` then no encoding side
#'  panel on the right is  created.
#' @param forms (`tagList`)\cr
#'  for example [shiny::actionButton()] that are placed below the encodings panel
#' @param pre_output (`shiny.tag`) optional,\cr
#'  with text placed before the output to put the output into context. For example a title.
#' @param post_output (`shiny.tag`) optional, with text placed after the output to put the output
#' into context. For example the [shiny::helpText()] elements are useful.
#'
#' @return an object of class `shiny.tag` with the UI code.
#'
#' @examples
#' library(shiny)
#' standard_layout(
#'   output = white_small_well(tags$h3("Tests")),
#'   encoding = tags$div(
#'     tags$label("Encodings", class = "text-primary"),
#'     panel_item(
#'       "Tests",
#'       optionalSelectInput(
#'         "tests",
#'         "Tests:",
#'         choices = c(
#'           "Shapiro-Wilk",
#'           "Kolmogorov-Smirnov (one-sample)"
#'         ),
#'         selected = "Shapiro-Wilk"
#'       )
#'     )
#'   ),
#'   forms = tagList(
#'     verbatim_popup_ui("warning", "Show Warnings"),
#'     verbatim_popup_ui("rcode", "Show R code")
#'   )
#' )
#'
#' @export
standard_layout <- function(output,
                            encoding = NULL,
                            forms = NULL,
                            pre_output = NULL,
                            post_output = NULL) {
  # checking arguments
  checkmate::assert_multi_class(output, c("shiny.tag", "shiny.tag.list", "html"))
  checkmate::assert_multi_class(encoding, c("shiny.tag", "shiny.tag.list", "html"), null.ok = TRUE)
  checkmate::assert_multi_class(pre_output, c("shiny.tag", "shiny.tag.list", "html"), null.ok = TRUE)
  checkmate::assert_multi_class(post_output, c("shiny.tag", "shiny.tag.list", "html"), null.ok = TRUE)

  # if encoding=NULL then forms is placed below output

  tag_output <- tags$div(
    class = "well",
    tags$div(class = "pre-output", pre_output),
    tags$div(class = "output", output),
    tags$div(class = "post-output", post_output)
  )

  tag_enc_out <- if (!is.null(encoding)) {
    tagList(
      tags$div(
        class = "col-md-3",
        tags$div(class = "well", encoding),
        if (is.null(forms)) {
          NULL
        } else {
          tags$div(class = "form-group", forms)
        }
      ),
      tags$div(class = "col-md-9", tag_output)
    )
  } else {
    tags$div(
      class = "col-md-12",
      tag_output,
      if (is.null(forms)) {
        NULL
      } else {
        tags$div(class = "form-group", forms)
      }
    )
  }

  fluidRow(tag_enc_out)
}

#' Panel group widget
#'
#' @description `r lifecycle::badge("experimental")`\cr
#' Designed to group [`panel_item`] elements. Used to handle `shiny` inputs in the encoding panel.
#' @param id optional, (`character`)\cr
#' @param ... (`shiny.tag`)\cr
#'  panels created by [panel_group()]
#'
#' @return (`shiny.tag`)
#'
#' @examples
#'
#' library(shiny)
#' panel_group(
#'   panel_item(
#'     title = "Display",
#'     collapsed = FALSE,
#'     checkboxGroupInput(
#'       "check",
#'       "Tables display",
#'       choices = LETTERS[1:3],
#'       selected = LETTERS[1]
#'     ),
#'     radioButtons(
#'       "radio",
#'       label = "Plot type",
#'       choices = letters[1:2],
#'       selected = letters[1]
#'     )
#'   ),
#'   panel_item(
#'     title = "Pre-processing",
#'     radioButtons(
#'       "filtering",
#'       "What to filter",
#'       choices = LETTERS[1:4],
#'       selected = LETTERS[1]
#'     ),
#'     radioButtons(
#'       "na_action",
#'       "NA action",
#'       choices = letters[1:3],
#'       selected = letters[1]
#'     )
#'   )
#' )
#'
#' @export
panel_group <- function(..., id = NULL) {
  checkmate::assert_string(id, null.ok = TRUE)

  # panel-group
  # div

  tags$div(
    id = id,
    ...,
    .renderHook = function(res_tag) {
      bs_version <- get_bs_version()
      if (bs_version == "3") {
        htmltools::tagAppendAttributes(res_tag, class = "panel-group")
      } else if (bs_version %in% c("4", "5")) {
        res_tag <- htmltools::tagAppendAttributes(res_tag, class = "my-4")
        htmltools::tagQuery(res_tag)$
          find(".card")$
          removeClass("my-2")$
          allTags()
      } else {
        stop("Bootstrap 3, 4, and 5 are supported.")
      }
    }
  )
}

#' Panel item widget
#'
#' @description `r lifecycle::badge("experimental")`\cr
#' Designed to be grouped using [`panel_group`] element. Used to handle `shiny` inputs in the encoding panel.
#' @param title (`character`)\cr title of panel
#' @param ... content of panel
#' @param collapsed (`logical`) optional,\cr
#'  whether to initially collapse panel
#' @param input_id (`character`) optional\cr
#'  name of the panel item element. If supplied, this will register a shiny input variable that
#'  indicates whether the panel item is open or collapsed and is accessed with `input$input_id`.
#'
#' @return (`shiny.tag`)
#'
#' @examples
#'
#' library(shiny)
#' panel_item(
#'   title = "Display",
#'   collapsed = FALSE,
#'   checkboxGroupInput(
#'     "check",
#'     "Tables display",
#'     choices = LETTERS[1:3],
#'     selected = LETTERS[1]
#'   ),
#'   radioButtons(
#'     "radio",
#'     label = "Plot type",
#'     choices = letters[1:2],
#'     selected = letters[1]
#'   )
#' )
#'
#' @export
panel_item <- function(title, ..., collapsed = TRUE, input_id = NULL) {
  stopifnot(checkmate::test_character(title, len = 1) || inherits(title, c("shiny.tag", "shiny.tag.list", "html")))
  checkmate::assert_flag(collapsed)
  checkmate::assert_string(input_id, null.ok = TRUE)

  div_id <- paste0(input_id, "_div")
  panel_id <- paste0(input_id, "_panel_body_", sample(1:10000, 1))


  tags$div(.renderHook = function(res_tag) {
    bs_version <- get_bs_version()

    # alter tag structure
    if (bs_version == "3") {
      res_tag$children <- list(
        tags$div(
          id = div_id,
          class = "panel panel-default",
          tags$div(
            class = paste("panel-heading", ifelse(collapsed, "collapsed", "")),
            `data-toggle` = "collapse",
            href = paste0("#", panel_id),
            `aria-expanded` = ifelse(collapsed, "false", "true"),
            icon(ifelse(collapsed, "angle-right", "angle-down"), class = "dropdown-icon"),
            tags$label(
              class = "panel-title inline",
              title,
            )
          ),
          tags$div(
            class = paste("panel-collapse collapse", ifelse(collapsed, "", "in")),
            id = panel_id,
            tags$div(
              class = "panel-body",
              ...
            )
          )
        )
      )
    } else if (bs_version %in% c("4", "5")) {
      res_tag$children <- list(
        tags$div(
          class = "card my-2",
          tags$div(
            class = "card-header",
            tags$div(
              class = paste("card-heading", ifelse(collapsed, "collapsed", "")),
              # bs4
              `data-toggle` = "collapse",
              # bs5
              `data-bs-toggle` = "collapse",
              href = paste0("#", panel_id),
              `aria-expanded` = ifelse(collapsed, "false", "true"),
              icon(ifelse(collapsed, "angle-right", "angle-down"), class = "dropdown-icon"),
              tags$label(
                class = "card-title inline",
                title,
              )
            )
          ),
          tags$div(
            id = panel_id,
            class = paste("collapse", ifelse(collapsed, "", "show")),
            tags$div(
              class = "card-body",
              ...
            )
          )
        )
      )
    } else {
      stop("Bootstrap 3, 4, and 5 are supported.")
    }


    tagList(
      include_css_files(pattern = "panel.css"),
      tags$head(shiny::includeScript(system.file("js/panel_group.js", package = "teal.widgets"))),
      res_tag
    )
  })
}

#' Map `lenghtMenu` property
#'
#' @description `r lifecycle::badge("stable")`\cr
#' Maps the `lengthMenu` selected value property of `DT::datatable` to a `shiny` variable.
#' @param dt_name `ns()` of `inputId` of the `DT::datatable`
#' @param dt_rows `ns()` of `inputId` of the variable that holds the current selected value of `lengthMenu`
#'
#' @name get_dt_rows
#'
#' @return (`shiny::tagList`) A `shiny tagList`.
#'
#' @examples
#' library(shiny)
#' library(DT)
#'
#' ui <- function(id) {
#'   ns <- NS(id)
#'   tagList(
#'     DTOutput(ns("data_table")),
#'     get_dt_rows(ns("data_table"), ns("dt_rows"))
#'   )
#' }
#'
#' # use the input$dt_rows in the Shiny Server function
#' server <- function(id) {
#'   moduleServer(id, function(input, output, session) {
#'     output$data_table <- renderDataTable(
#'       {
#'         iris
#'       },
#'       options = list(pageLength = input$dt_rows)
#'     )
#'   })
#' }
#'
#' if (interactive()) {
#'   shinyApp(
#'     ui = ui("my_table_module"),
#'     server = function(input, output, session) server("my_table_module")
#'   )
#' }
#' @export
get_dt_rows <- function(dt_name, dt_rows) {
  tags$head(
    tags$script(
      sprintf(
        "$(document).ready(function() {
        $('%s').on('length.dt', function(e, settings, len) {
        Shiny.onInputChange('%s', len);
        });
        });",
        paste0("#", dt_name),
        dt_rows
      )
    )
  )
}

#' Small well class for HTML
#'
#' @description `r lifecycle::badge("stable")`\cr
#' Adds Small Well class and overflow-x property to HTML output element.
#' @param ... other arguments to pass to tag object's div attributes.
#'
#' @details `white_small_well` is intended to be used with [shiny::uiOutput()].
#' The overflow-x property is set to auto so that a scroll bar is added
#' when the content overflows at the left and right edges of the output window.
#' For example, this is useful for displaying wide tables.
#'
#' @return An HTML output element with class Small Well and overflow-x property
#' @export
#'
#' @examples
#'
#' white_small_well(shiny::htmlOutput("summary"))
white_small_well <- function(...) {
  shiny::tagList(
    include_css_files(pattern = "custom"),
    tags$div(
      class = "well well-sm bg-white",
      ...
    )
  )
}

1		#' A `shiny` module that pops up verbatim text.
2		#' @name verbatim_popup
3		#' @description `r lifecycle::badge("experimental")`
4		#' This module consists of a button that once clicked pops up a
5		#' modal window with verbatim-styled text.
6		#'
7		#' @param id (`character(1)`) the `shiny` id
8		#' @param button_label (`character(1)`) the text printed on the button
9		#' @param type (`character(1)`) specifying whether to use `[shiny::actionButton()]` or `[shiny::actionLink()]`.
10		#' @param ... additional arguments to `[shiny::actionButton()]`(or `[shiny::actionLink()]`).
11		#'
12		#' @return the UI function returns a `shiny.tag.list` object
13		#' @export
14		#'
15		#' @examples
16		#' library(shiny)
17		#'
18		#' ui <- fluidPage(verbatim_popup_ui("my_id", button_label = "Open popup"))
19		#' srv <- function(input, output) {
20		#' verbatim_popup_srv(
21		#' "my_id",
22		#' "if (TRUE) { print('Popups are the best') }",
23		#' title = "My custom title",
24		#' style = TRUE
25		#' )
26		#' }
27		#' if (interactive()) shinyApp(ui, srv)
28		#'
29		verbatim_popup_ui <- function(id, button_label, type = c("button", "link"), ...) {
30	5x	checkmate::assert_string(id)
31	5x	checkmate::assert_string(button_label)
32
33	5x	ui_function <- switch(match.arg(type),
34	5x	"button" = shiny::actionButton,
35	5x	"link" = shiny::actionLink
36		)
37
38	4x	ns <- shiny::NS(id)
39	4x	ui_args <- list(
40	4x	inputId = ns("button"),
41	4x	label = button_label
42		)
43
44	4x	shiny::tagList(
45	4x	shiny::singleton(
46	4x	tags$head(shiny::includeScript(system.file("js/verbatim_popup.js", package = "teal.widgets")))
47		),
48	4x	shinyjs::useShinyjs(),
49	4x	do.call(ui_function, c(ui_args, list(...)))
50		)
51		}
52
53		#' @name verbatim_popup
54		#' @export
55		#'
56		#' @param verbatim_content (`character`, `expression`, `condition` or `reactive(1)`
57		#' holding any of the above) the content to show in the popup modal window
58		#' @param title (`character(1)`) the title of the modal window
59		#' @param style (`logical(1)`) whether to style the `verbatim_content` using `styler::style_text`.
60		#' If `verbatim_content` is a `condition` or `reactive` holding `condition` then this argument is ignored
61		#' @param disabled (`reactive(1)`) the `shiny` reactive value holding a `logical`. The popup button is disabled
62		#' when the flag is `TRUE` and enabled otherwise.
63		#'
64		verbatim_popup_srv <- function(id, verbatim_content, title, style = FALSE, disabled = shiny::reactiveVal(FALSE)) {
65	!	checkmate::assert_string(id)
66	!	checkmate::assert_string(title)
67	!	checkmate::assert_flag(style)
68	!	checkmate::assert_class(disabled, classes = "reactive")
69	!	moduleServer(id, function(input, output, session) {
70	!	ns <- session$ns
71	!	modal_content <- format_content(verbatim_content, style)
72	!	button_click_observer(
73	!	click_event = shiny::reactive(input$button),
74	!	copy_button_id = ns("copy_button"),
75	!	copied_area_id = ns("verbatim_content"),
76	!	modal_title = title,
77	!	modal_content = modal_content,
78	!	disabled = disabled
79		)
80		})
81		}
82
83		#' Creates a `shiny` observer handling button clicks.
84		#'
85		#' @description
86		#' When the button is clicked it pop up a modal window with the text.
87		#'
88		#' @keywords internal
89		#' @param click_event `reactive` the click event
90		#' @param copy_button_id (`character(1)`) the id of the button to copy the modal content.
91		#' Automatically appended with a 1 and 2 suffix for top and bottom buttons respectively.
92		#' @param copied_area_id (`character(1)`) the id of the element which contents are copied
93		#' @param modal_title (`character(1)`) the title of the modal window
94		#' @param modal_content (`reactive`) the content of the modal window
95		#' @param disabled (`reactive(1)`) the `shiny` reactive value holding a `logical`. The popup button is disabled
96		#' when the flag is `TRUE` and enabled otherwise.
97		button_click_observer <- function(click_event,
98		copy_button_id,
99		copied_area_id,
100		modal_title,
101		modal_content,
102		disabled) {
103	1x	shiny::observeEvent(
104	1x	disabled(),
105	1x	handlerExpr = {
106	!	if (disabled()) {
107	!	shinyjs::disable("button")
108		} else {
109	!	shinyjs::enable("button")
110		}
111		}
112		)
113
114	1x	shiny::observeEvent(
115	1x	click_event(),
116	1x	handlerExpr = {
117	!	req(modal_content())
118	!	shiny::showModal(
119	!	shiny::modalDialog(
120	!	shiny::tagList(
121	!	include_css_files(pattern = "verbatim_popup"),
122	!	tags$div(
123	!	class = "mb-4",
124	!	shiny::actionButton(
125	!	paste0(copy_button_id, 1),
126	!	"Copy to Clipboard",
127	!	onclick = paste0("copyToClipboard('", copied_area_id, "')")
128		),
129	!	shiny::modalButton("Dismiss")
130		),
131	!	tags$pre(id = copied_area_id, modal_content()),
132		),
133	!	title = modal_title,
134	!	footer = shiny::tagList(
135	!	shiny::actionButton(
136	!	paste0(copy_button_id, 2),
137	!	"Copy to Clipboard",
138	!	onclick = paste0("copyToClipboard('", copied_area_id, "')")
139		),
140	!	shiny::modalButton("Dismiss")
141		),
142	!	size = "l",
143	!	easyClose = TRUE
144		)
145		)
146		}
147		)
148		}
149
150		#' Formats the content of the modal popup window.
151		#'
152		#' @details
153		#' Formats the content:
154		#' * concatenates if needed
155		#' * styles if `style` is TRUE
156		#'
157		#' @keywords internal
158		#' @inheritParams verbatim_popup
159		#' @return `reactive` with the formatted content
160		format_content <- function(verbatim_content, style = FALSE) {
161	11x	shiny::reactive({
162	4x	content <- if (inherits(verbatim_content, "reactive")) {
163	2x	tryCatch(
164	2x	verbatim_content(),
165	2x	error = function(e) {
166	!	e
167		}
168		)
169		} else {
170	2x	verbatim_content
171		}
172	4x	shiny::validate(shiny::need(
173	4x	checkmate::test_multi_class(content, classes = c("expression", "character", "condition")),
174	4x	"verbatim_content should be an expression, character or condition"
175		))
176
177	4x	content <- paste(as.character(content), collapse = "\n")
178
179	4x	if (style && !checkmate::test_class(content, "condition")) {
180	3x	content <- paste(styler::style_text(content), collapse = "\n")
181		}
182	4x	content
183		})
184		}

1		#' Creates `ggplot2_args` object
2		#'
3		#' @description `r lifecycle::badge("experimental")`
4		#' Constructor of `ggplot2_args` class of objects.
5		#' The `ggplot2_args` argument should be a part of every module which contains any `ggplot2` graphics.
6		#' The function arguments are validated to match their `ggplot2` equivalents.
7		#'
8		#' For more details see the vignette: `vignette("custom-ggplot2-arguments", package = "teal.widgets")`.
9		#'
10		#' @seealso
11		#' * [resolve_ggplot2_args()] to resolve multiple objects into one using pre-defined priorities.
12		#' * [parse_ggplot2_args()] to parse resolved list into list of calls.
13		#'
14		#' @param labs (named `list`)\cr
15		#' where all fields have to match [ggplot2::labs()] arguments.
16		#' @param theme (named `list`)\cr
17		#' where all fields have to match [ggplot2::theme()] arguments.
18		#'
19		#' @return (`ggplot2_args`) object.
20		#' @export
21		#' @examples
22		#' ggplot2_args(
23		#' labs = list(title = "TITLE"),
24		#' theme = list(title = ggplot2::element_text(size = 20))
25		#' )
26		ggplot2_args <- function(labs = list(), theme = list()) {
27	92x	checkmate::assert_list(labs)
28	92x	checkmate::assert_list(theme)
29	92x	checkmate::assert_character(names(labs), unique = TRUE, null.ok = TRUE)
30	92x	checkmate::assert_character(names(theme), unique = TRUE, null.ok = TRUE)
31
32	92x	ggplot2_theme <- methods::formalArgs(ggplot2::theme)
33		# utils::getFromNamespace is not recommended nevertheless needed as it is replacing `:::`.
34		# usage of static values will be vulnerable to any changes in ggplot2 aesthetics.
35	92x	ggplot2_labs <- c(
36	92x	utils::getFromNamespace(".all_aesthetics", "ggplot2"),
37	92x	methods::formalArgs(ggplot2::labs)
38		)
39	92x	checkmate::assert_subset(names(labs), choices = ggplot2_labs, empty.ok = TRUE)
40	91x	checkmate::assert_subset(names(theme), choices = ggplot2_theme, empty.ok = TRUE)
41
42	90x	structure(list(labs = labs, theme = theme), class = "ggplot2_args")
43		}
44
45		#' Resolving and reducing multiple `ggplot2_args` objects
46		#'
47		#' @description `r lifecycle::badge("experimental")`
48		#' Resolving and reducing multiple `ggplot2_args` objects.
49		#' This function is intended to utilize user provided settings, defaults provided by the module creator and
50		#' also `teal` option. See `Details`, below, to understand the logic.
51		#'
52		#' @seealso [parse_ggplot2_args()] to parse resolved list into list of calls.
53		#'
54		#' @param user_plot (`ggplot2_args`)\cr
55		#' end user setup for theme and labs in the specific plot.
56		#' Created with the [ggplot2_args()] function. The `NULL` value is supported.
57		#' @param user_default (`ggplot2_args`)\cr
58		#' end user setup for module default theme and labs.
59		#' Created with the [ggplot2_args()] function. The `NULL` value is supported.
60		#' @param module_plot (`ggplot2_args`)\cr
61		#' module creator setup for theme and labs in the specific plot.
62		#' Created with the [ggplot2_args()] function. The `NULL` value is supported.
63		#' @param app_default (`ggplot2_args`)\cr
64		#' Application level setting. Can be `NULL`.
65		#'
66		#' @return `ggplot2_args` object.
67		#'
68		#' @details
69		#' The function picks the first non `NULL` value for each argument, checking in the following order:
70		#' 1. `ggplot2_args` argument provided by the end user.
71		#' Per plot (`user_plot`) and then default (`user_default`) setup.
72		#' 2. `app_default` global R variable, `teal.ggplot2_args`.
73		#' 3. `module_plot` which is a module creator setup.
74		#' @export
75		#' @examples
76		#' resolve_ggplot2_args(
77		#' user_plot = ggplot2_args(
78		#' labs = list(title = "TITLE"),
79		#' theme = list(title = ggplot2::element_text(size = 20))
80		#' ),
81		#' user_default = ggplot2_args(
82		#' labs = list(x = "XLAB")
83		#' )
84		#' )
85		resolve_ggplot2_args <- function(user_plot = ggplot2_args(),
86		user_default = ggplot2_args(),
87		module_plot = ggplot2_args(),
88		app_default = getOption("teal.ggplot2_args", ggplot2_args())) {
89	18x	checkmate::assert_class(user_plot, "ggplot2_args", null.ok = TRUE)
90	17x	checkmate::assert_class(user_default, "ggplot2_args", null.ok = TRUE)
91	17x	checkmate::assert_class(module_plot, "ggplot2_args", null.ok = TRUE)
92	17x	checkmate::assert_class(app_default, "ggplot2_args", null.ok = TRUE)
93
94	17x	ggplot2_args_all <- list(
95	17x	"plot" = user_plot,
96	17x	"default" = user_default,
97	17x	"teal" = app_default,
98	17x	"module" = module_plot
99		)
100
101	17x	labs_args <- Reduce(`c`, lapply(ggplot2_args_all, function(x) x$labs))
102	17x	labs_args <- if (is.null(labs_args)) list() else labs_args[!duplicated(names(labs_args))]
103
104	17x	theme_args <- Reduce(`c`, lapply(ggplot2_args_all, function(x) x$theme))
105	17x	theme_args <- if (is.null(theme_args)) list() else theme_args[!duplicated(names(theme_args))]
106
107	17x	ggplot2_args(labs = labs_args, theme = theme_args)
108		}
109
110		#' Parse `ggplot2_args` object into the `ggplot2` expression
111		#'
112		#' @description `r lifecycle::badge("experimental")`
113		#' A function to parse expression from the `ggplot2_args` object.
114		#' @param ggplot2_args (`ggplot2_args`)\cr
115		#' This argument could be a result of the [resolve_ggplot2_args()].
116		#' @param ggtheme (`character(1)`)\cr
117		#' name of the `ggplot2` theme to be applied, e.g. `"dark"`.
118		#'
119		#' @return (`list`) of up to three elements of class `languange`: `"labs"`, `"ggtheme"` and `"theme"`.
120		#' @export
121		#' @examples
122		#' parse_ggplot2_args(
123		#' resolve_ggplot2_args(ggplot2_args(
124		#' labs = list(title = "TITLE"),
125		#' theme = list(title = ggplot2::element_text(size = 20))
126		#' ))
127		#' )
128		#'
129		#' parse_ggplot2_args(
130		#' resolve_ggplot2_args(
131		#' ggplot2_args(
132		#' labs = list(title = "TITLE"),
133		#' theme = list(title = ggplot2::element_text(size = 20))
134		#' )
135		#' ),
136		#' ggtheme = "gray"
137		#' )
138		parse_ggplot2_args <- function(ggplot2_args = teal.widgets::ggplot2_args(),
139		ggtheme = c(
140		"default",
141		"gray",
142		"bw",
143		"linedraw",
144		"light",
145		"dark",
146		"minimal",
147		"classic",
148		"void",
149		"test"
150		)) {
151	10x	checkmate::assert_class(ggplot2_args, "ggplot2_args")
152	9x	ggtheme <- match.arg(ggtheme)
153
154	9x	res_list <- list()
155
156	9x	labs_args <- ggplot2_args$labs
157
158	9x	labs_f <- if (length(labs_args)) {
159	5x	as.call(c(list(quote(ggplot2::labs)), labs_args))
160		} else {
161	4x	NULL
162		}
163
164	9x	default_theme <- if (ggtheme != "default") {
165	1x	as.call(list(str2lang(paste0("ggplot2::theme_", ggtheme))))
166		} else {
167	8x	NULL
168		}
169
170	9x	theme_args <- ggplot2_args$theme
171
172	9x	theme_f <- if (length(theme_args)) {
173	2x	as.call(c(list(quote(ggplot2::theme)), theme_args))
174		} else {
175	7x	NULL
176		}
177
178	9x	final_list <- Filter(Negate(is.null), list(labs = labs_f, ggtheme = default_theme, theme = theme_f))
179		# For empty final_list we want to return empty list, not empty named list
180	3x	`if`(length(final_list) == 0, list(), final_list)
181		}

1		#' Nested Closeable Modal Popup
2		#'
3		#' @description `r lifecycle::badge("experimental")`
4		#' Alternative to `shiny::modalDialog`. Create a nested modal popup that can be shown/hidden
5		#' using `jQuery` and modal `id`, without disturbing the parent modal.
6		#'
7		#' @param id (`character(1)`) `shiny` module id for the component.\cr
8		#' Note that this id can be used to show/hide this modal
9		#' with the appended `jQuery` methods show/hide.
10		#' @param ... (`shiny.tag`) `shiny` UI elements that will be displayed in the modal UI
11		#' @param modal_args (`list`) optional list of arguments for the `shiny::modalDialog` function
12		#' to customize the modal. Has `easyClose` set to `TRUE` as default
13		#'
14		#' @return (`shiny.tag`) returns `HTML` for `shiny` module UI which can be nested into a modal popup
15		#' @export
16		#'
17		#' @examples
18		#' library(shiny)
19		#' library(shinyjs)
20		#'
21		#' ui <- fluidPage(
22		#' useShinyjs(),
23		#' actionButton("show_1", "$(\"#modal_1\").modal(\"show\")"),
24		#' nested_closeable_modal(
25		#' "modal_1",
26		#' modal_args = list(
27		#' size = "l",
28		#' title = "First Modal",
29		#' easyClose = TRUE,
30		#' footer = NULL
31		#' ),
32		#' tags$div(
33		#' "This modal can be closed by running", tags$code("$(\"#modal_1\").modal(\"hide\")"),
34		#' "in the JS console!",
35		#' tags$br(),
36		#' "Note that the second modal is placed right within this modal",
37		#' tags$br(),
38		#' "Alternatively, calling the", tags$code("removeModal()"),
39		#' "will remove all the active modal popups",
40		#' tags$br(), tags$br(),
41		#' actionButton("show_2", "$(\"#modal_2\").modal(\"show\")"),
42		#' actionButton("hide_1", "$(\"#modal_1\").modal(\"hide\")"),
43		#' nested_closeable_modal(
44		#' id = "modal_2",
45		#' modal_args = list(
46		#' size = "m",
47		#' title = "Second Modal",
48		#' footer = NULL,
49		#' easyClose = TRUE
50		#' ),
51		#' tags$div(
52		#' "This modal can be closed by running", tags$code("$(\"#modal_1\").modal(\"hide\")"),
53		#' "in the JS console!",
54		#' "Note that removing the parent will remove the child.
55		#' But, reopening will remember the open state of child",
56		#' actionButton("hide_2", "$(\"#modal_2\").modal(\"hide\")"),
57		#' actionButton("hide_all", "$(\"#modal_1\").modal(\"hide\")")
58		#' )
59		#' )
60		#' )
61		#' )
62		#' )
63		#'
64		#' server <- function(input, output) {
65		#' observeEvent(input$show_1, {
66		#' runjs("$(\"#modal_1\").modal(\"show\")")
67		#' })
68		#' observeEvent(input$show_2, {
69		#' runjs("$(\"#modal_2\").modal(\"show\")")
70		#' })
71		#' observeEvent(c(input$hide_1, input$hide_all), {
72		#' runjs("$(\"#modal_1\").modal(\"hide\")")
73		#' })
74		#' observeEvent(input$hide_2, {
75		#' runjs("$(\"#modal_2\").modal(\"hide\")")
76		#' })
77		#' }
78		#'
79		#' if (interactive()) {
80		#' shinyApp(ui, server)
81		#' }
82		nested_closeable_modal <- function(id, ..., modal_args = list(easyClose = TRUE)) {
83	!	checkmate::assert_string(id)
84	!	checkmate::assert_list(modal_args)
85	!	modal_args <- append(list(...), modal_args)
86	!	tagList(
87	!	htmltools::tagQuery(do.call(modalDialog, modal_args))$
88	!	removeAttrs("id")$
89	!	addAttrs(id = id, `aria-hidden` = "true", class = "custom-modal", `data-backdrop` = "false")$
90	!	children("div")$
91	!	children("div")$
92	!	children("div")$
93	!	siblings(".modal-footer")$
94	!	find("button")$
95	!	removeAttrs(c("data-dismiss", "data-bs-dismiss"))$
96	!	addAttrs(onclick = paste0("$('#", id, "').modal('hide');"))$
97	!	allTags()
98		)
99		}

1		#' Include `CSS` files from `/inst/css/` package directory to application header
2		#'
3		#' `system.file` should not be used to access files in other packages, it does
4		#' not work with `devtools`. Therefore, we redefine this method in each package
5		#' as needed. Thus, we do not export this method
6		#'
7		#' @param pattern (`character`) pattern of files to be included
8		#'
9		#' @return HTML code that includes `CSS` files
10		#' @keywords internal
11		include_css_files <- function(pattern = "*") {
12	2x	css_files <- list.files(
13	2x	system.file("css", package = "teal.widgets", mustWork = TRUE),
14	2x	pattern = pattern, full.names = TRUE
15		)
16	2x	if (length(css_files) == 0) {
17	!	return(NULL)
18		}
19	2x	return(shiny::singleton(tags$head(lapply(css_files, shiny::includeCSS))))
20		}

1		#' Get bootstrap current version
2		#' @note will work properly mainly inside a tag `.renderHook`
3		#' @keywords internal
4		get_bs_version <- function() {
5	1x	theme <- bslib::bs_current_theme()
6	1x	if (bslib::is_bs_theme(theme)) {
7	!	bslib::theme_version(theme)
8		} else {
9	1x	"3"
10		}
11		}
12
13		#' This function checks the plot type and applies specific modifications
14		#' to the plot object based on the provided parameters.
15		#'
16		#' @param plot_obj The original plot object.
17		#' @param plot_type The type of the plot, either `gg` (`ggplot2`) or `grob` (`grid`, `graphics`).
18		#' @param dblclicking A logical value indicating whether double-clicking on data points on
19		#' the main plot is enabled or disabled.
20		#' @param ranges A list containing x and y values of ranges.
21		#'
22		#' @keywords internal
23		apply_plot_modifications <- function(plot_obj, plot_type, dblclicking, ranges) {
24	13x	if (plot_type == "gg" && dblclicking) {
25	1x	plot_obj +
26	1x	ggplot2::coord_cartesian(xlim = ranges$x, ylim = ranges$y, expand = FALSE)
27	12x	} else if (plot_type == "grob") {
28	2x	grid::grid.newpage()
29	2x	grid::grid.draw(plot_obj)
30		} else {
31	10x	plot_obj
32		}
33		}
34
35		#' This function opens a PDF graphics device using [grDevices::pdf()] to suppress
36		#' the plot display in the IDE. The purpose of this function is to avoid opening graphic devices
37		#' directly in the IDE.
38		#'
39		#' @param x lazy binding which generates the plot(s)
40		#'
41		#' @keywords internal
42		plot_suppress <- function(x) {
43	26x	grDevices::pdf(nullfile())
44	26x	on.exit(grDevices::dev.off())
45	26x	force(x)
46		}

1		#' Wrapper for `pickerInput`
2		#'
3		#' @description `r lifecycle::badge("stable")`
4		#' Wrapper for [shinyWidgets::pickerInput()] with additional features.
5		#' When `fixed = TRUE` or when the number of `choices` is less or equal to 1 (see `fixed_on_single`),
6		#' the `pickerInput` widget is hidden and non-interactive widget will be displayed
7		#' instead. Toggle of `HTML` elements is just the visual effect to avoid displaying
8		#' `pickerInput` widget when there is only one choice.
9		#'
10		#' @inheritParams shinyWidgets::pickerInput
11		#'
12		#' @param sep (`character(1)`)\cr
13		#' A separator string to split the `choices` or `selected` inputs into the values of the different
14		#' columns.
15		#'
16		#' @param label_help (`shiny.tag`) optional,\cr
17		#' e.g. an object returned by [shiny::helpText()].
18		#'
19		#' @param fixed (`logical(1)`) optional,\cr
20		#' whether to block user to select choices.
21		#'
22		#' @param fixed_on_single (`logical(1)`) optional,\cr
23		#' whether to block user to select a choice when there is only one or less choice.
24		#' When `FALSE`, user is still able to select or deselect the choice.
25		#'
26		#' @param width (`character(1)`)\cr
27		#' The width of the input passed to `pickerInput` e.g. `'auto'`, `'fit'`, `'100px'` or `'75%'`
28		#'
29		#' @return (`shiny.tag`) HTML tag with `pickerInput` widget and
30		#' non-interactive element listing selected values.
31		#'
32		#' @export
33		#'
34		#' @examples
35		#' library(shiny)
36		#'
37		#' # Create a minimal example data frame
38		#' data <- data.frame(
39		#' AGE = c(25, 30, 40, 35, 28),
40		#' SEX = c("Male", "Female", "Male", "Female", "Male"),
41		#' PARAMCD = c("Val1", "Val2", "Val3", "Val4", "Val5"),
42		#' PARAM = c("Param1", "Param2", "Param3", "Param4", "Param5"),
43		#' AVISIT = c("Visit1", "Visit2", "Visit3", "Visit4", "Visit5"),
44		#' stringsAsFactors = TRUE
45		#' )
46		#'
47		#' ui_grid <- function(...) {
48		#' fluidPage(
49		#' fluidRow(
50		#' lapply(list(...), function(x) column(4, wellPanel(x)))
51		#' )
52		#' )
53		#' }
54		#'
55		#' ui <- ui_grid(
56		#' tags$div(
57		#' optionalSelectInput(
58		#' inputId = "c1",
59		#' label = "Fixed choices",
60		#' choices = LETTERS[1:5],
61		#' selected = c("A", "B"),
62		#' fixed = TRUE
63		#' ),
64		#' verbatimTextOutput(outputId = "c1_out")
65		#' ),
66		#' tags$div(
67		#' optionalSelectInput(
68		#' inputId = "c2",
69		#' label = "Single choice",
70		#' choices = "A",
71		#' selected = "A"
72		#' ),
73		#' verbatimTextOutput(outputId = "c2_out")
74		#' ),
75		#' tags$div(
76		#' optionalSelectInput(
77		#' inputId = "c3",
78		#' label = "NULL choices",
79		#' choices = NULL
80		#' ),
81		#' verbatimTextOutput(outputId = "c3_out")
82		#' ),
83		#' tags$div(
84		#' optionalSelectInput(
85		#' inputId = "c4",
86		#' label = "Default",
87		#' choices = LETTERS[1:5],
88		#' selected = "A"
89		#' ),
90		#' verbatimTextOutput(outputId = "c4_out")
91		#' ),
92		#' tags$div(
93		#' optionalSelectInput(
94		#' inputId = "c5",
95		#' label = "Named vector",
96		#' choices = c(`A - value A` = "A", `B - value B` = "B", `C - value C` = "C"),
97		#' selected = "A"
98		#' ),
99		#' verbatimTextOutput(outputId = "c5_out")
100		#' ),
101		#' tags$div(
102		#' selectInput(
103		#' inputId = "c6_choices", label = "Update choices", choices = letters, multiple = TRUE
104		#' ),
105		#' optionalSelectInput(
106		#' inputId = "c6",
107		#' label = "Updated choices",
108		#' choices = NULL,
109		#' multiple = TRUE,
110		#' fixed_on_single = TRUE
111		#' ),
112		#' verbatimTextOutput(outputId = "c6_out")
113		#' )
114		#' )
115		#'
116		#' server <- function(input, output, session) {
117		#' observeEvent(input$c6_choices, ignoreNULL = FALSE, {
118		#' updateOptionalSelectInput(
119		#' session = session,
120		#' inputId = "c6",
121		#' choices = input$c6_choices,
122		#' selected = input$c6_choices
123		#' )
124		#' })
125		#'
126		#' output$c1_out <- renderPrint(input$c1)
127		#' output$c2_out <- renderPrint(input$c2)
128		#' output$c3_out <- renderPrint(input$c3)
129		#' output$c4_out <- renderPrint(input$c4)
130		#' output$c5_out <- renderPrint(input$c5)
131		#' output$c6_out <- renderPrint(input$c6)
132		#' }
133		#'
134		#' if (interactive()) {
135		#' shinyApp(ui, server)
136		#' }
137		#'
138		optionalSelectInput <- function(inputId, # nolint
139		label = NULL,
140		choices = NULL,
141		selected = NULL,
142		multiple = FALSE,
143		sep = NULL,
144		options = list(),
145		label_help = NULL,
146		fixed = FALSE,
147		fixed_on_single = FALSE,
148		width = NULL) {
149	!	checkmate::assert_string(inputId)
150	!	checkmate::assert(
151	!	checkmate::check_string(label, null.ok = TRUE),
152	!	checkmate::check_class(label, "shiny.tag"),
153	!	checkmate::check_class(label, "shiny.tag.list"),
154	!	checkmate::check_class(label, "html")
155		)
156	!	stopifnot(is.null(choices) \|\| length(choices) >= 1)
157	!	stopifnot(
158	!	is.null(selected) \|\|
159	!	length(selected) == 0 \|\|
160	!	all(selected %in% choices) \|\|
161	!	all(selected %in% unlist(choices, recursive = FALSE))
162		)
163	!	checkmate::assert_flag(multiple)
164	!	checkmate::assert_string(sep, null.ok = TRUE)
165	!	checkmate::assert_list(options)
166	!	checkmate::assert(
167	!	checkmate::check_string(label_help, null.ok = TRUE),
168	!	checkmate::check_class(label_help, "shiny.tag"),
169	!	checkmate::check_class(label_help, "shiny.tag.list"),
170	!	checkmate::check_class(label_help, "html")
171		)
172	!	checkmate::assert_flag(fixed)
173	!	checkmate::assert_flag(fixed_on_single)
174
175	!	if (!is.null(width)) {
176	!	validateCssUnit(width)
177		}
178
179	!	default_options <- list(
180	!	"actions-box" = multiple,
181	!	"none-selected-text" = "- Nothing selected -",
182	!	"max-options" = ifelse(multiple, Inf, 1),
183	!	"show-subtext" = TRUE,
184	!	"live-search" = ifelse(length(choices) > 10, TRUE, FALSE)
185		)
186
187		# if called outside the fluidPage then will assume bs 3
188	!	bs_version <- get_bs_version()
189	!	if (isTRUE(bs_version != "3")) default_options[["style"]] <- "btn-outline-secondary"
190
191	!	options <- if (!identical(options, list())) {
192	!	c(options, default_options[setdiff(names(default_options), names(options))])
193		} else {
194	!	default_options
195		}
196
197	!	if (is.null(choices)) {
198	!	choices <- ""
199	!	selected <- NULL
200		}
201
202	!	if (length(choices) <= 1 && fixed_on_single) fixed <- TRUE
203
204	!	raw_choices <- extract_raw_choices(choices, attr(choices, "sep"))
205	!	raw_selected <- extract_raw_choices(selected, attr(choices, "sep"))
206
207	!	ui_picker <- tags$div(
208	!	id = paste0(inputId, "_input"),
209		# visibility feature marked with display: none/block instead of shinyjs::hide/show
210		# as mechanism to hide/show is handled by javascript code
211	!	style = if (fixed) "display: none;" else "display: block;",
212	!	shinyWidgets::pickerInput(
213	!	inputId = inputId,
214	!	label = label,
215	!	choices = raw_choices,
216	!	selected = raw_selected,
217	!	multiple = TRUE,
218	!	width = width,
219	!	options = options,
220	!	choicesOpt = picker_options(choices)
221		)
222		)
223
224	!	if (!is.null(label_help)) {
225	!	ui_picker[[3]] <- append(ui_picker[[3]], list(tags$div(class = "label-help", label_help)), after = 1)
226		}
227
228	!	ui_fixed <- tags$div(
229	!	id = paste0(inputId, "_fixed"),
230		# visibility feature marked with display: none/block instead of shinyjs::hide/show
231		# as mechanism to hide/show is handled by javascript code
232	!	style = if (fixed) "display: block;" else "display: none;",
233	!	tags$label(class = "control-label", label),
234		# selected values as verbatim text
235	!	tags$code(
236	!	id = paste0(inputId, "_selected_text"),
237	!	if (length(selected) > 0) {
238	!	toString(selected)
239		} else {
240	!	"NULL"
241		}
242		),
243	!	label_help
244		)
245
246	!	tags$div(
247	!	include_css_files(pattern = "picker_input"),
248
249		# when selected values in ui_picker change
250		# then update ui_fixed - specifically, update '{id}_selected_text' element
251	!	tags$script(
252	!	sprintf(
253		"
254	!	$(function() {
255	!	$('#%1$s').on('change', function(e) {
256	!	var select_concat = $(this).val().length ? $(this).val().join(', ') : 'NULL';
257	!	$('#%1$s_selected_text').html(select_concat);
258		})
259		})",
260	!	inputId
261		)
262		),
263
264		# if ui_picker has only one or less option or is fixed then hide {id}_input and show {id}_fixed
265	!	if (fixed_on_single) {
266	!	js <- sprintf(
267	!	"$(function() {
268	!	$('#%1$s').on('change', function(e) {
269	!	var options = $('#%1$s').find('option');
270	!	if (options.length == 1) {
271	!	$('#%1$s_input').hide();
272	!	$('#%1$s_fixed').show();
273		} else {
274	!	$('#%1$s_input').show();
275	!	$('#%1$s_fixed').hide();
276		}
277		})
278		})",
279	!	inputId
280		)
281	!	tags$script(js)
282		},
283	!	tags$div(ui_picker, ui_fixed)
284		)
285		}
286
287		#' @rdname optionalSelectInput
288		#' @param session (`shiny.session`)\cr
289		#' @export
290		updateOptionalSelectInput <- function(session, # nolint
291		inputId, # nolint
292		label = NULL,
293		selected = NULL,
294		choices = NULL) {
295	!	raw_choices <- extract_raw_choices(choices, attr(choices, "sep"))
296	!	raw_selected <- extract_raw_choices(selected, attr(choices, "sep"))
297
298		# update picker input
299	!	shinyWidgets::updatePickerInput(
300	!	session = session,
301	!	inputId = inputId,
302	!	label = label,
303	!	selected = as.character(raw_selected),
304	!	choices = raw_choices,
305	!	choicesOpt = picker_options(choices)
306		)
307
308	!	invisible(NULL)
309		}
310
311		#' Get icons to represent variable types in dataset
312		#'
313		#' @param var_type (`character`)\cr
314		#' of R internal types (classes).
315		#'
316		#' @return (`character`)\cr
317		#' vector of HTML icons corresponding to data type in each column.
318		#' @keywords internal
319		#'
320		variable_type_icons <- function(var_type) {
321	!	checkmate::assert_character(var_type, any.missing = FALSE)
322
323	!	class_to_icon <- list(
324	!	numeric = "arrow-up-1-9",
325	!	integer = "arrow-up-1-9",
326	!	logical = "pause",
327	!	Date = "calendar",
328	!	POSIXct = "calendar",
329	!	POSIXlt = "calendar",
330	!	factor = "chart-bar",
331	!	character = "keyboard",
332	!	primary_key = "key",
333	!	unknown = "circle-question"
334		)
335	!	class_to_icon <- lapply(class_to_icon, function(icon_name) toString(icon(icon_name, lib = "font-awesome")))
336
337	!	res <- unname(vapply(
338	!	var_type,
339	!	FUN.VALUE = character(1),
340	!	FUN = function(class) {
341	!	if (class == "") {
342	!	class
343	!	} else if (is.null(class_to_icon[[class]])) {
344	!	class_to_icon[["unknown"]]
345		} else {
346	!	class_to_icon[[class]]
347		}
348		}
349		))
350
351	!	return(res)
352		}
353
354		#' Optional content for `optionalSelectInput`
355		#'
356		#' Prepares content to be displayed in `optionalSelectInput` with icons and labels
357		#'
358		#' @param var_name (`character`)\cr
359		#' variable name
360		#' @param var_label (`character`)\cr
361		#' variable alternative name - for example variable label
362		#' @param var_type (`character`)
363		#' class of the variable.
364		#'
365		#' @return (`character`) HTML contents with all elements combined
366		#' @keywords internal
367		#'
368		picker_options_content <- function(var_name, var_label, var_type) {
369	!	if (length(var_name) == 0) {
370	!	return(character(0))
371		}
372	!	if (length(var_type) == 0 && length(var_label) == 0) {
373	!	return(var_name)
374		}
375	!	checkmate::assert_character(var_name, min.len = 1, any.missing = FALSE)
376	!	stopifnot(
377	!	identical(var_type, character(0)) \|\| length(var_type) == length(var_name),
378	!	identical(var_label, character(0)) \|\| length(var_label) == length(var_name)
379		)
380
381	!	var_icon <- variable_type_icons(var_type)
382
383	!	res <- trimws(paste(
384	!	var_icon,
385	!	var_name,
386	!	vapply(
387	!	var_label,
388	!	function(x) {
389	!	ifelse(x == "", "", toString(tags$small(x, class = "text-muted")))
390		},
391	!	character(1)
392		)
393		))
394
395	!	return(res)
396		}
397
398		#' Create `choicesOpt` for `pickerInput`
399		#'
400		#' @param choices (`choices_labeled` or `character`)\cr
401		#' choices vector
402		#'
403		#' @return (`list`)\cr
404		#' to be passed as `choicesOpt` argument.
405		#' @keywords internal
406		picker_options <- function(choices) {
407	!	if (inherits(choices, "choices_labeled")) {
408	!	raw_choices <- extract_raw_choices(choices, sep = attr(choices, "sep"))
409	!	return(
410	!	list(
411	!	content = picker_options_content(
412	!	var_name = raw_choices,
413	!	var_label = extract_choices_labels(choices),
414	!	var_type = if (is.null(attr(choices, "types"))) character(0) else attr(choices, "types")
415		)
416		)
417		)
418	!	} else if (all(vapply(choices, inherits, logical(1), "choices_labeled"))) {
419	!	choices <- unlist(unname(choices))
420	!	return(
421	!	list(content = picker_options_content(
422	!	var_name = choices,
423	!	var_label = extract_choices_labels(choices),
424	!	var_type = if (is.null(attr(choices, "types"))) character(0) else attr(choices, "types")
425		))
426		)
427		} else {
428	!	return(NULL)
429		}
430		}
431
432		#' Extract raw values from choices
433		#'
434		#' @param choices (`choices_labeled`, `list` or `character`)\cr
435		#' object containing choices
436		#' @param sep (`character(1)`)\cr
437		#' A separator string to split the `choices` or `selected` inputs into the values of
438		#' the different columns.
439		#' @return choices simplified
440		#' @keywords internal
441		extract_raw_choices <- function(choices, sep) {
442	!	if (!is.null(sep)) {
443	!	vapply(choices, paste, collapse = sep, character(1))
444	!	} else if (inherits(choices, "choices_labeled")) {
445	!	unname(unlist(choices))
446		} else {
447	!	choices
448		}
449		}
450
451		#' if min or max are `NA` then the slider widget will be hidden
452		#'
453		#' @description `r lifecycle::badge("stable")`\cr
454		#' Hidden input widgets are useful to have the `input[[inputId]]` variable
455		#' on available in the server function but no corresponding visual clutter from
456		#' input widgets that provide only a single choice.
457		#'
458		#' @inheritParams shiny::sliderInput
459		#' @param label_help (`shiny.tag`) optional\cr
460		#' object of class `shiny.tag`, e.g. an object returned by [shiny::helpText()]
461		#' @param ... optional arguments to `sliderInput`
462		#'
463		#' @return (`shiny.tag`) HTML tag with `sliderInput` widget.
464		#'
465		#' @export
466		#'
467		#' @examples
468		#' optionalSliderInput("a", "b", 0, 1, 0.2)
469		optionalSliderInput <- function(inputId, label, min, max, value, label_help = NULL, ...) { # nolint
470	25x	checkmate::assert_number(min, na.ok = TRUE)
471	25x	checkmate::assert_number(max, na.ok = TRUE)
472	25x	checkmate::assert_numeric(value, min.len = 1, max.len = 2, any.missing = FALSE)
473
474	25x	is_na_min <- is.na(min)
475	25x	is_na_max <- is.na(max)
476
477	25x	hide <- is_na_min \|\| is_na_max
478
479	25x	if (length(value) == 2) {
480	2x	value1 <- value[1]
481	2x	value2 <- value[2]
482		} else {
483	23x	value1 <- value
484	23x	value2 <- value
485		}
486
487	25x	if (is_na_min) {
488	2x	min <- value1 - 1
489		}
490	25x	if (is_na_max) {
491	1x	max <- value2 + 1
492		}
493
494	25x	if (min > value1 \|\| max < value2) {
495	2x	stop("arguments inconsistent: min <= value <= max expected")
496		}
497
498	23x	slider <- sliderInput(inputId, label, min, max, value, ...)
499
500	23x	if (!is.null(label_help)) {
501	!	slider[[3]] <- append(slider[[3]], list(tags$div(class = "label-help", label_help)), after = 1)
502		}
503
504	23x	if (hide) {
505	2x	shinyjs::hidden(slider)
506		} else {
507	21x	slider
508		}
509		}
510
511		#' For `teal` modules we parameterize an `optionalSliderInput` with one argument
512		#' `value_min_max`
513		#'
514		#' @description `r lifecycle::badge("stable")`
515		#' The [optionalSliderInput()] function needs three arguments to determine
516		#' whether to hide the `sliderInput` widget or not. For `teal` modules we specify an
517		#' optional slider input with one argument here called `value_min_max`.
518		#'
519		#' @inheritParams optionalSliderInput
520		#'
521		#' @param value_min_max (`numeric(1)` or `numeric(3)`)\cr
522		#' If of length 1 then the value gets set to that number and the `sliderInput` will be hidden.
523		#' Otherwise, if it is of length three the three elements will map to `value`, `min` and `max` of
524		#' the [optionalSliderInput()] function.
525		#'
526		#' @return (`shiny.tag`) HTML tag with range `sliderInput` widget.
527		#'
528		#' @export
529		#'
530		#' @examples
531		#'
532		#' optionalSliderInputValMinMax("a", "b", 1)
533		#' optionalSliderInputValMinMax("a", "b", c(3, 1, 5))
534		optionalSliderInputValMinMax <- function(inputId, label, value_min_max, label_help = NULL, ...) { # nolint
535	18x	checkmate::assert(
536	18x	checkmate::check_numeric(
537	18x	value_min_max,
538	18x	finite = TRUE,
539	18x	len = 3
540		),
541	18x	checkmate::check_numeric(
542	18x	value_min_max,
543	18x	finite = TRUE,
544	18x	len = 1
545		)
546		)
547
548	18x	x <- value_min_max
549
550	18x	vals <- if (length(x) == 3) {
551	18x	checkmate::assert_number(x[1], lower = x[2], upper = x[3], .var.name = "value_min_max")
552	18x	list(value = x[1], min = x[2], max = x[3])
553	18x	} else if (length(x) == 1) {
554	!	list(value = x, min = NA_real_, max = NA_real_)
555		}
556
557	18x	slider <- optionalSliderInput(inputId, label, vals$min, vals$max, vals$value, ...)
558
559	18x	if (!is.null(label_help)) {
560	!	slider[[3]] <- append(slider[[3]], list(tags$div(class = "label-help", label_help)), after = 1)
561		}
562	18x	return(slider)
563		}
564
565		#' Extract labels from choices basing on attributes and names
566		#'
567		#' @param choices (`list` or `vector`)\cr
568		#' select choices
569		#' @param values optional\cr
570		#' choices subset for which labels should be extracted, `NULL` for all choices.
571		#'
572		#' @return (`character`) vector with labels
573		#' @keywords internal
574		extract_choices_labels <- function(choices, values = NULL) {
575	!	res <- if (inherits(choices, "choices_labeled")) {
576	!	attr(choices, "raw_labels")
577	!	} else if (!is.null(names(choices)) && !setequal(names(choices), unlist(unname(choices)))) {
578	!	names(choices)
579		} else {
580	!	NULL
581		}
582
583	!	if (!is.null(values) && !is.null(res)) {
584	!	stopifnot(all(values %in% choices))
585	!	res <- res[vapply(values, function(val) which(val == choices), numeric(1))]
586		}
587
588	!	return(res)
589		}

1		#' @name table_with_settings
2		#'
3		#' @title `table_with_settings` module
4		#'
5		#' @description `r lifecycle::badge("stable")`\cr
6		#' Module designed to create a `shiny` table output based on `rtable` object (`ElementaryTable` or `TableTree`) input.
7		#' @inheritParams shiny::moduleServer
8		#' @param ... (`character`)\cr
9		#' Useful for providing additional HTML classes for the output tag.
10		#'
11		#' @rdname table_with_settings
12		#' @export
13		#'
14		table_with_settings_ui <- function(id, ...) {
15	1x	checkmate::assert_string(id)
16
17	1x	ns <- NS(id)
18
19	1x	tagList(
20	1x	include_css_files("table_with_settings"),
21	1x	tags$div(
22	1x	id = ns("table-with-settings"),
23	1x	tags$div(
24	1x	class = "table-settings-buttons",
25	1x	type_download_ui_table(ns("downbutton")),
26	1x	actionButton(
27	1x	inputId = ns("expand"), label = character(0),
28	1x	icon = icon("up-right-and-down-left-from-center"), class = "btn-sm"
29		),
30		),
31	1x	tags$div(
32	1x	class = "table-settings-table",
33	1x	uiOutput(ns("table_out_main"), width = "100%", ...)
34		)
35		)
36		)
37		}
38
39		#' @inheritParams shiny::moduleServer
40		#' @param table_r (`reactive`)\cr
41		#' reactive expression that yields an `rtable` object (`ElementaryTable` or `TableTree`)
42		#' @param show_hide_signal (`reactive logical`) optional\cr
43		#' mechanism to allow modules which call this module to show/hide the table_with_settings UI.
44		#'
45		#' @rdname table_with_settings
46		#'
47		#' @return A `shiny` module.
48		#'
49		#' @export
50		#'
51		#' @examples
52		#' library(shiny)
53		#' library(rtables)
54		#' library(magrittr)
55		#'
56		#' ui <- fluidPage(
57		#' table_with_settings_ui(
58		#' id = "table_with_settings"
59		#' )
60		#' )
61		#'
62		#' server <- function(input, output, session) {
63		#' table_r <- reactive({
64		#' l <- basic_table() %>%
65		#' split_cols_by("ARM") %>%
66		#' analyze(c("SEX", "AGE"))
67		#'
68		#' tbl <- build_table(l, DM)
69		#'
70		#' tbl
71		#' })
72		#'
73		#' table_with_settings_srv(id = "table_with_settings", table_r = table_r)
74		#' }
75		#'
76		#' if (interactive()) {
77		#' shinyApp(ui, server)
78		#' }
79		#'
80		table_with_settings_srv <- function(id, table_r, show_hide_signal = reactive(TRUE)) {
81	5x	checkmate::assert_class(table_r, c("reactive", "function"))
82	4x	checkmate::assert_class(show_hide_signal, c("reactive", "function"))
83
84	3x	if (!requireNamespace("rtables", quietly = TRUE)) {
85	!	stop("package rtables is required, please install")
86		}
87
88	3x	moduleServer(id, function(input, output, session) {
89	3x	ns <- session$ns
90		# Turn on and off the UI
91	3x	observeEvent(show_hide_signal(), {
92	3x	if (show_hide_signal()) {
93	2x	shinyjs::show("table-with-settings")
94		} else {
95	1x	shinyjs::hide("table-with-settings")
96		}
97		})
98
99	3x	output$table_out_main <- output$table_out_modal <- renderUI({
100	6x	rtables::as_html(table_r())
101		})
102
103	3x	type_download_srv_table(
104	3x	id = "downbutton",
105	3x	table_reactive = table_r
106		)
107
108	3x	observeEvent(input$expand, {
109	1x	showModal(
110	1x	tags$div(
111	1x	class = "table-modal",
112	1x	modalDialog(
113	1x	easyClose = TRUE,
114	1x	tags$div(
115	1x	class = "float-right",
116	1x	type_download_ui_table(ns("modal_downbutton"))
117		),
118	1x	uiOutput(ns("table_out_modal"), class = "table_out_container")
119		)
120		)
121		)
122		})
123
124	3x	type_download_srv_table(
125	3x	id = "modal_downbutton",
126	3x	table_reactive = table_r
127		)
128		})
129		}
130
131		type_download_ui_table <- function(id) {
132	2x	ns <- NS(id)
133	2x	shinyWidgets::dropdownButton(
134	2x	circle = FALSE,
135	2x	icon = icon("download"),
136	2x	inline = TRUE,
137	2x	right = TRUE,
138	2x	label = "",
139	2x	inputId = ns("dwnl"),
140	2x	tags$div(
141	2x	class = "modal-download-ui-table-container",
142	2x	radioButtons(ns("file_format"),
143	2x	label = "File type",
144	2x	choices = c("formatted txt" = ".txt", "csv" = ".csv", "pdf" = ".pdf"),
145		),
146	2x	textInput(ns("file_name"),
147	2x	label = "File name (without extension)",
148	2x	value = paste0("table_", strftime(Sys.time(), format = "%Y%m%d_%H%M%S"))
149		),
150	2x	conditionalPanel(
151	2x	condition = paste0("input['", ns("file_format"), "'] != '.csv'"),
152	2x	tags$div(
153	2x	class = "lock-btn",
154	2x	title = "on / off",
155	2x	shinyWidgets::prettyToggle(
156	2x	ns("pagination_switch"),
157	2x	value = FALSE,
158	2x	label_on = NULL,
159	2x	label_off = NULL,
160	2x	status_on = "default",
161	2x	status_off = "default",
162	2x	outline = FALSE,
163	2x	plain = TRUE,
164	2x	icon_on = icon("fas fa-toggle-off"),
165	2x	icon_off = icon("fas fa-toggle-on"),
166	2x	animation = "pulse"
167		)
168		),
169	2x	tags$div(
170	2x	class = "paginate-ui",
171	2x	shinyWidgets::numericInputIcon(
172	2x	inputId = ns("lpp"),
173	2x	label = "Paginate table:",
174	2x	value = 70,
175	2x	icon = list("lines / page")
176		),
177	2x	uiOutput(ns("lpp_warning"))
178		)
179		),
180	2x	conditionalPanel(
181	2x	condition = paste0("input['", ns("file_name"), "'] != ''"),
182	2x	downloadButton(ns("data_download"), label = character(0), class = "btn-sm w-full")
183		)
184		)
185		)
186		}
187
188		type_download_srv_table <- function(id, table_reactive) {
189	12x	moduleServer(
190	12x	id,
191	12x	function(input, output, session) {
192	12x	observeEvent(input$pagination_switch, {
193	12x	if (input$pagination_switch) {
194	6x	shinyjs::enable("lpp")
195		} else {
196	6x	shinyjs::disable("lpp")
197		}
198		})
199
200	12x	output$lpp_warning <- renderUI({
201	28x	catch_warning <- if (input$file_format != ".csv" && input$pagination_switch) {
202	6x	try(rtables::paginate_table(
203	6x	tt = table_reactive(),
204	6x	lpp = as.numeric(input$lpp)
205		))
206		}
207
208	18x	if (inherits(catch_warning, "try-error")) {
209	1x	helpText(
210	1x	class = "error",
211	1x	icon("triangle-exclamation"),
212	1x	"Maximum lines per page includes the reprinted header. Please enter a numeric value or increase the value."
213		)
214		}
215		})
216
217	12x	output$data_download <- downloadHandler(
218	12x	filename = function() {
219	21x	paste0(input$file_name, input$file_format)
220		},
221	12x	content = function(file) {
222	21x	if (input$file_format == ".txt") {
223	8x	rtables::export_as_txt(
224	8x	x = table_reactive(),
225	8x	file = file,
226	8x	paginate = input$pagination_switch,
227	8x	lpp = if (input$pagination_switch) as.numeric(input$lpp)
228		)
229	13x	} else if (input$file_format == ".csv") {
230	7x	result <- rtables::matrix_form(table_reactive())$strings
231	7x	utils::write.table(
232	7x	x = result,
233	7x	file = file,
234	7x	sep = ",",
235	7x	col.names = FALSE,
236	7x	row.names = TRUE,
237	7x	append = FALSE
238		)
239		} else {
240	6x	rtables::export_as_pdf(
241	6x	x = table_reactive(),
242	6x	file = file,
243	6x	paginate = input$pagination_switch,
244	6x	lpp = if (input$pagination_switch) as.numeric(input$lpp)
245		)
246		}
247		}
248		)
249		}
250		)
251		}

1		#' Builds a `basic_table_args` object
2		#'
3		#' @description `r lifecycle::badge("experimental")`
4		#' This function has to be used to build an input for a `basic_table_args` argument.
5		#' The `basic_table_args` argument should be a part of every module which contains any `rtables` object.
6		#' Arguments are validated to match their `rtables` equivalents.
7		#'
8		#' For more details see the vignette: `vignette("custom-basic-table-arguments", package = "teal.widgets")`.
9		#'
10		#' @seealso
11		#' * [resolve_basic_table_args()] to resolve multiple objects into one using pre-defined priorities.
12		#' * [parse_basic_table_args()] to parse resolved list into list of calls.
13		#'
14		#' @param ... arguments compatible with [rtables::basic_table()].
15		#'
16		#' @return (`basic_table_args`) object.
17		#' @export
18		#' @examples
19		#' basic_table_args(subtitles = "SUBTITLE")
20		basic_table_args <- function(...) {
21	118x	table_args_l <- list(...)
22	118x	checkmate::assert_character(names(table_args_l), unique = TRUE, null.ok = TRUE)
23
24	118x	basic_table_formals <- methods::formalArgs(rtables::basic_table)
25	118x	checkmate::assert_subset(names(table_args_l), choices = basic_table_formals, empty.ok = TRUE)
26
27	114x	structure(table_args_l, class = "basic_table_args")
28		}
29
30		#' Resolves and reduces multiple `basic_table_args` objects
31		#'
32		#' @description `r lifecycle::badge("experimental")`
33		#' Resolving and reducing multiple `basic_table_args` objects.
34		#' This function is intended to utilize user provided settings, defaults provided by the module creator and
35		#' also `teal` option. See `Details`, below, to understand the logic.
36		#'
37		#' @seealso [parse_basic_table_args()] to parse resolved list into list of calls.
38		#'
39		#' @param user_table (`basic_table_args`)\cr
40		#' end user setup for [rtables::basic_table()] of a specific table.
41		#' Created with the [basic_table_args()] function. The `NULL` value is supported.
42		#' @param user_default (`basic_table_args`)\cr
43		#' end user default setup for [rtables::basic_table()]
44		#' of a specific table. Created with the [basic_table_args()] function. The `NULL` value is supported.
45		#' @param module_table (`ggplot2_args`)\cr
46		#' module creator setup for [rtables::basic_table()] of a specific table.
47		#' Created with the [basic_table_args()] function. The `NULL` value is supported.
48		#' @param app_default (`basic_table_args`)\cr
49		#' Application level setting. Can be `NULL`.
50		#'
51		#' @return `basic_table_args` object.
52		#' @details
53		#' The function picks the first non `NULL` value for each argument, checking in the following order:
54		#' 1. `basic_table_args` argument provided by the end user.
55		#' Per table (`user_table`) and then default (`user_default`) setup.
56		#' 2. `app_default` global R variable, `teal.basic_table_args`.
57		#' 3. `module_table` which is a module creator setup.
58		#' @export
59		#' @examples
60		#' resolve_basic_table_args(
61		#' user_table = basic_table_args(title = "TITLE"),
62		#' user_default = basic_table_args(title = "DEFAULT_TITLE", subtitles = "SUBTITLE")
63		#' )
64		resolve_basic_table_args <- function(user_table = basic_table_args(),
65		user_default = basic_table_args(),
66		module_table = basic_table_args(),
67		app_default = getOption("teal.basic_table_args", basic_table_args())) {
68	24x	checkmate::assert_class(user_table, "basic_table_args", null.ok = TRUE)
69	23x	checkmate::assert_class(user_default, "basic_table_args", null.ok = TRUE)
70	23x	checkmate::assert_class(module_table, "basic_table_args", null.ok = TRUE)
71	23x	checkmate::assert_class(app_default, "basic_table_args", null.ok = TRUE)
72
73	23x	table_args_all <- list(
74	23x	"table" = user_table,
75	23x	"default" = user_default,
76	23x	"teal" = app_default,
77	23x	"module" = module_table
78		)
79
80	23x	table_args_f <- Reduce(`c`, table_args_all)
81
82	23x	if (length(table_args_f) == 0) {
83	9x	basic_table_args()
84		} else {
85	14x	do.call(basic_table_args, table_args_f[!duplicated(names(table_args_f))])
86		}
87		}
88
89		#' Parses `basic_table_args` object into the `basic_table` expression
90		#'
91		#' @description `r lifecycle::badge("experimental")`
92		#' A function to parse expression from the `basic_table_args` object.
93		#' @param basic_table_args (`basic_table_args`)\cr
94		#' This argument could be a result of the [`resolve_basic_table_args()`].
95		#'
96		#' @return (`language`) the `rtables::basic_table()` filled with additional arguments.
97		#' @export
98		#' @examples
99		#' parse_basic_table_args(
100		#' resolve_basic_table_args(
101		#' user_table = basic_table_args(title = "TITLE"),
102		#' user_default = basic_table_args(title = "DEFAULT_TITLE", subtitles = "SUBTITLE")
103		#' )
104		#' )
105		parse_basic_table_args <- function(basic_table_args = teal.widgets::basic_table_args()) {
106	8x	checkmate::assert_class(basic_table_args, "basic_table_args", null.ok = TRUE)
107
108	7x	if (length(basic_table_args) == 0) {
109	3x	quote(rtables::basic_table())
110		} else {
111	4x	as.call(c(list(quote(rtables::basic_table)), basic_table_args))
112		}
113		}

1		#' @title Draggable Buckets
2		#' @description `r lifecycle::badge("experimental")`
3		#' A custom widget with draggable elements that can be put into buckets.
4		#'
5		#' @param input_id (`character(1)`) the `HTML` id of this widget
6		#' @param label (`character(1)` or `shiny.tag`) the header of this widget
7		#' @param elements (`character`) the elements to drag into buckets
8		#' @param buckets (`character` or `list`) the names of the buckets the elements can be put in or a list of key-pair
9		#' values where key is a name of a bucket and value is a character vector of elements in a bucket
10		#'
11		#' @return the `HTML` code comprising an instance of this widget
12		#' @export
13		#'
14		#' @details `shinyvalidate` validation can be used with this widget. See example below.
15		#'
16		#' @examples
17		#' library(shiny)
18		#'
19		#' ui <- fluidPage(
20		#' draggable_buckets("id", "Choices #1", c("a", "b"), c("bucket1", "bucket2")),
21		#' draggable_buckets("id2", "Choices #2", letters, c("vowels", "consonants")),
22		#' verbatimTextOutput("out"),
23		#' verbatimTextOutput("out2")
24		#' )
25		#' server <- function(input, output) {
26		#' iv <- shinyvalidate::InputValidator$new()
27		#' iv$add_rule(
28		#' "id",
29		#' function(data) if (length(data[["bucket1"]]) == 0) "There should be stuff in bucket 1"
30		#' )
31		#' iv$enable()
32		#'
33		#' observeEvent(list(input$id, input$id2), {
34		#' print(isolate(input$id))
35		#' print(isolate(input$id2))
36		#' })
37		#' output$out <- renderPrint({
38		#' iv$is_valid()
39		#' input$id
40		#' })
41		#' output$out2 <- renderPrint(input$id2)
42		#' }
43		#' if (interactive()) shinyApp(ui, server)
44		#'
45		#' # With default elements in the bucket
46		#' ui <- fluidPage(
47		#' draggable_buckets("id", "Choices #1", c("a", "b"), list(bucket1 = character(), bucket2 = c("c"))),
48		#' verbatimTextOutput("out")
49		#' )
50		#' server <- function(input, output) {
51		#' observeEvent(input$id, {
52		#' print(isolate(input$id))
53		#' })
54		#' output$out <- renderPrint(input$id)
55		#' }
56		#' if (interactive()) shinyApp(ui, server)
57		draggable_buckets <- function(input_id, label, elements = character(), buckets) {
58	!	checkmate::assert_string(input_id)
59	!	checkmate::assert_true(inherits(label, "character") \|\| inherits(label, "shiny.tag"))
60	!	checkmate::assert_character(c(elements, unlist(buckets)), min.len = 0, null.ok = TRUE, unique = TRUE)
61	!	checkmate::assert(
62	!	checkmate::check_character(buckets, min.len = 1),
63	!	checkmate::check_list(buckets, types = "character", names = "unique")
64		)
65
66	!	elements_iterator <- new.env(parent = emptyenv())
67	!	elements_iterator$it <- 0
68
69	!	shiny::tagList(
70	!	shiny::singleton(tags$head(
71	!	shiny::includeScript(system.file("widgets/draggable_buckets.js", package = "teal.widgets"))
72		)),
73	!	include_css_files("draggable_buckets.css"),
74	!	shiny::div(
75	!	tags$span(label),
76	!	render_unbucketed_elements(elements = elements, elements_iterator = elements_iterator, widget_id = input_id),
77	!	render_buckets(buckets = buckets, elements_iterator = elements_iterator, widget_id = input_id),
78	!	class = "draggableBuckets",
79	!	id = input_id
80		)
81		)
82		}
83
84		render_unbucketed_elements <- function(elements, elements_iterator, widget_id) {
85	!	tags$div(
86	!	lapply(elements, function(element) {
87	!	elements_iterator$it <- elements_iterator$it + 1
88	!	render_draggable_element(
89	!	value = element,
90	!	id = paste0(widget_id, "draggable", elements_iterator$it),
91	!	widget_id = widget_id
92		)
93		}),
94	!	id = paste0(widget_id, "elements"),
95	!	class = c("form-control", "elements"),
96	!	ondragover = "allowDrop(event)",
97	!	ondrop = "drop(event)",
98	!	`data-widget` = widget_id
99		)
100		}
101
102		render_buckets <- function(buckets, elements_iterator, widget_id) {
103	!	buckets <- `if`(
104	!	is.list(buckets),
105	!	lapply(names(buckets), function(bucket_name) {
106	!	render_bucket(
107	!	name = bucket_name,
108	!	elements = buckets[[bucket_name]],
109	!	elements_iterator = elements_iterator,
110	!	widget_id = widget_id
111		)
112		}),
113	!	lapply(buckets, render_bucket, widget_id = widget_id, elements_iterator = elements_iterator)
114		)
115	!	shiny::tagList(buckets)
116		}
117
118		render_draggable_element <- function(value, id, widget_id) {
119	!	tags$div(
120	!	value,
121	!	id = id,
122	!	class = "element",
123	!	draggable = "true",
124	!	ondragstart = "drag(event)",
125	!	ondragover = "allowDrop(event)",
126	!	ondrop = "dropReorder(event)",
127	!	`data-widget` = widget_id
128		)
129		}
130
131		render_bucket <- function(name, elements = NULL, elements_iterator = NULL, widget_id = NULL) {
132	!	tags$div(
133	!	tags$div(
134	!	paste0(name, ":"),
135	!	class = "bucket-name",
136	!	ondragover = "allowDrop(event)",
137	!	ondrop = "dropBucketName(event)",
138	!	`data-widget` = widget_id
139		),
140	!	lapply(elements, function(element) {
141	!	elements_iterator$it <- elements_iterator$it + 1
142	!	render_draggable_element(
143	!	value = element,
144	!	id = paste0(widget_id, "draggable", elements_iterator$it),
145	!	widget_id = widget_id
146		)
147		}),
148	!	class = c("form-control", "bucket"),
149	!	ondragover = "allowDrop(event)",
150	!	ondrop = "drop(event)",
151	!	`data-label` = name,
152	!	`data-widget` = widget_id
153		)
154		}

1		#' Standard UI layout
2		#'
3		#' @description `r lifecycle::badge("stable")`\cr
4		#' Create a standard UI layout with output on the right and an encoding panel on
5		#' the left. This is the layout used by the `teal` modules.
6		#'
7		#' @param output (`shiny.tag`)\cr
8		#' object with the output element (table, plot, listing) such as for example returned
9		#' by [shiny::plotOutput()].
10		#' @param encoding (`shiny.tag`)\cr
11		#' object containing the encoding elements. If this element is `NULL` then no encoding side
12		#' panel on the right is created.
13		#' @param forms (`tagList`)\cr
14		#' for example [shiny::actionButton()] that are placed below the encodings panel
15		#' @param pre_output (`shiny.tag`) optional,\cr
16		#' with text placed before the output to put the output into context. For example a title.
17		#' @param post_output (`shiny.tag`) optional, with text placed after the output to put the output
18		#' into context. For example the [shiny::helpText()] elements are useful.
19		#'
20		#' @return an object of class `shiny.tag` with the UI code.
21		#'
22		#' @examples
23		#' library(shiny)
24		#' standard_layout(
25		#' output = white_small_well(tags$h3("Tests")),
26		#' encoding = tags$div(
27		#' tags$label("Encodings", class = "text-primary"),
28		#' panel_item(
29		#' "Tests",
30		#' optionalSelectInput(
31		#' "tests",
32		#' "Tests:",
33		#' choices = c(
34		#' "Shapiro-Wilk",
35		#' "Kolmogorov-Smirnov (one-sample)"
36		#' ),
37		#' selected = "Shapiro-Wilk"
38		#' )
39		#' )
40		#' ),
41		#' forms = tagList(
42		#' verbatim_popup_ui("warning", "Show Warnings"),
43		#' verbatim_popup_ui("rcode", "Show R code")
44		#' )
45		#' )
46		#'
47		#' @export
48		standard_layout <- function(output,
49		encoding = NULL,
50		forms = NULL,
51		pre_output = NULL,
52		post_output = NULL) {
53		# checking arguments
54	11x	checkmate::assert_multi_class(output, c("shiny.tag", "shiny.tag.list", "html"))
55	9x	checkmate::assert_multi_class(encoding, c("shiny.tag", "shiny.tag.list", "html"), null.ok = TRUE)
56	8x	checkmate::assert_multi_class(pre_output, c("shiny.tag", "shiny.tag.list", "html"), null.ok = TRUE)
57	7x	checkmate::assert_multi_class(post_output, c("shiny.tag", "shiny.tag.list", "html"), null.ok = TRUE)
58
59		# if encoding=NULL then forms is placed below output
60
61	6x	tag_output <- tags$div(
62	6x	class = "well",
63	6x	tags$div(class = "pre-output", pre_output),
64	6x	tags$div(class = "output", output),
65	6x	tags$div(class = "post-output", post_output)
66		)
67
68	6x	tag_enc_out <- if (!is.null(encoding)) {
69	2x	tagList(
70	2x	tags$div(
71	2x	class = "col-md-3",
72	2x	tags$div(class = "well", encoding),
73	2x	if (is.null(forms)) {
74	1x	NULL
75		} else {
76	1x	tags$div(class = "form-group", forms)
77		}
78		),
79	2x	tags$div(class = "col-md-9", tag_output)
80		)
81		} else {
82	4x	tags$div(
83	4x	class = "col-md-12",
84	4x	tag_output,
85	4x	if (is.null(forms)) {
86	3x	NULL
87		} else {
88	1x	tags$div(class = "form-group", forms)
89		}
90		)
91		}
92
93	6x	fluidRow(tag_enc_out)
94		}

1		#' Panel group widget
2		#'
3		#' @description `r lifecycle::badge("experimental")`\cr
4		#' Designed to group [`panel_item`] elements. Used to handle `shiny` inputs in the encoding panel.
5		#' @param id optional, (`character`)\cr
6		#' @param ... (`shiny.tag`)\cr
7		#' panels created by [panel_group()]
8		#'
9		#' @return (`shiny.tag`)
10		#'
11		#' @examples
12		#'
13		#' library(shiny)
14		#' panel_group(
15		#' panel_item(
16		#' title = "Display",
17		#' collapsed = FALSE,
18		#' checkboxGroupInput(
19		#' "check",
20		#' "Tables display",
21		#' choices = LETTERS[1:3],
22		#' selected = LETTERS[1]
23		#' ),
24		#' radioButtons(
25		#' "radio",
26		#' label = "Plot type",
27		#' choices = letters[1:2],
28		#' selected = letters[1]
29		#' )
30		#' ),
31		#' panel_item(
32		#' title = "Pre-processing",
33		#' radioButtons(
34		#' "filtering",
35		#' "What to filter",
36		#' choices = LETTERS[1:4],
37		#' selected = LETTERS[1]
38		#' ),
39		#' radioButtons(
40		#' "na_action",
41		#' "NA action",
42		#' choices = letters[1:3],
43		#' selected = letters[1]
44		#' )
45		#' )
46		#' )
47		#'
48		#' @export
49		panel_group <- function(..., id = NULL) {
50	!	checkmate::assert_string(id, null.ok = TRUE)
51
52		# panel-group
53		# div
54
55	!	tags$div(
56	!	id = id,
57		...,
58	!	.renderHook = function(res_tag) {
59	!	bs_version <- get_bs_version()
60	!	if (bs_version == "3") {
61	!	htmltools::tagAppendAttributes(res_tag, class = "panel-group")
62	!	} else if (bs_version %in% c("4", "5")) {
63	!	res_tag <- htmltools::tagAppendAttributes(res_tag, class = "my-4")
64	!	htmltools::tagQuery(res_tag)$
65	!	find(".card")$
66	!	removeClass("my-2")$
67	!	allTags()
68		} else {
69	!	stop("Bootstrap 3, 4, and 5 are supported.")
70		}
71		}
72		)
73		}
74
75		#' Panel item widget
76		#'
77		#' @description `r lifecycle::badge("experimental")`\cr
78		#' Designed to be grouped using [`panel_group`] element. Used to handle `shiny` inputs in the encoding panel.
79		#' @param title (`character`)\cr title of panel
80		#' @param ... content of panel
81		#' @param collapsed (`logical`) optional,\cr
82		#' whether to initially collapse panel
83		#' @param input_id (`character`) optional\cr
84		#' name of the panel item element. If supplied, this will register a shiny input variable that
85		#' indicates whether the panel item is open or collapsed and is accessed with `input$input_id`.
86		#'
87		#' @return (`shiny.tag`)
88		#'
89		#' @examples
90		#'
91		#' library(shiny)
92		#' panel_item(
93		#' title = "Display",
94		#' collapsed = FALSE,
95		#' checkboxGroupInput(
96		#' "check",
97		#' "Tables display",
98		#' choices = LETTERS[1:3],
99		#' selected = LETTERS[1]
100		#' ),
101		#' radioButtons(
102		#' "radio",
103		#' label = "Plot type",
104		#' choices = letters[1:2],
105		#' selected = letters[1]
106		#' )
107		#' )
108		#'
109		#' @export
110		panel_item <- function(title, ..., collapsed = TRUE, input_id = NULL) {
111	!	stopifnot(checkmate::test_character(title, len = 1) \|\| inherits(title, c("shiny.tag", "shiny.tag.list", "html")))
112	!	checkmate::assert_flag(collapsed)
113	!	checkmate::assert_string(input_id, null.ok = TRUE)
114
115	!	div_id <- paste0(input_id, "_div")
116	!	panel_id <- paste0(input_id, "_panel_body_", sample(1:10000, 1))
117
118
119	!	tags$div(.renderHook = function(res_tag) {
120	!	bs_version <- get_bs_version()
121
122		# alter tag structure
123	!	if (bs_version == "3") {
124	!	res_tag$children <- list(
125	!	tags$div(
126	!	id = div_id,
127	!	class = "panel panel-default",
128	!	tags$div(
129	!	class = paste("panel-heading", ifelse(collapsed, "collapsed", "")),
130	!	`data-toggle` = "collapse",
131	!	href = paste0("#", panel_id),
132	!	`aria-expanded` = ifelse(collapsed, "false", "true"),
133	!	icon(ifelse(collapsed, "angle-right", "angle-down"), class = "dropdown-icon"),
134	!	tags$label(
135	!	class = "panel-title inline",
136	!	title,
137		)
138		),
139	!	tags$div(
140	!	class = paste("panel-collapse collapse", ifelse(collapsed, "", "in")),
141	!	id = panel_id,
142	!	tags$div(
143	!	class = "panel-body",
144		...
145		)
146		)
147		)
148		)
149	!	} else if (bs_version %in% c("4", "5")) {
150	!	res_tag$children <- list(
151	!	tags$div(
152	!	class = "card my-2",
153	!	tags$div(
154	!	class = "card-header",
155	!	tags$div(
156	!	class = paste("card-heading", ifelse(collapsed, "collapsed", "")),
157		# bs4
158	!	`data-toggle` = "collapse",
159		# bs5
160	!	`data-bs-toggle` = "collapse",
161	!	href = paste0("#", panel_id),
162	!	`aria-expanded` = ifelse(collapsed, "false", "true"),
163	!	icon(ifelse(collapsed, "angle-right", "angle-down"), class = "dropdown-icon"),
164	!	tags$label(
165	!	class = "card-title inline",
166	!	title,
167		)
168		)
169		),
170	!	tags$div(
171	!	id = panel_id,
172	!	class = paste("collapse", ifelse(collapsed, "", "show")),
173	!	tags$div(
174	!	class = "card-body",
175		...
176		)
177		)
178		)
179		)
180		} else {
181	!	stop("Bootstrap 3, 4, and 5 are supported.")
182		}
183
184
185	!	tagList(
186	!	include_css_files(pattern = "panel.css"),
187	!	tags$head(shiny::includeScript(system.file("js/panel_group.js", package = "teal.widgets"))),
188	!	res_tag
189		)
190		})
191		}

1		#' Map `lenghtMenu` property
2		#'
3		#' @description `r lifecycle::badge("stable")`\cr
4		#' Maps the `lengthMenu` selected value property of `DT::datatable` to a `shiny` variable.
5		#' @param dt_name `ns()` of `inputId` of the `DT::datatable`
6		#' @param dt_rows `ns()` of `inputId` of the variable that holds the current selected value of `lengthMenu`
7		#'
8		#' @name get_dt_rows
9		#'
10		#' @return (`shiny::tagList`) A `shiny tagList`.
11		#'
12		#' @examples
13		#' library(shiny)
14		#' library(DT)
15		#'
16		#' ui <- function(id) {
17		#' ns <- NS(id)
18		#' tagList(
19		#' DTOutput(ns("data_table")),
20		#' get_dt_rows(ns("data_table"), ns("dt_rows"))
21		#' )
22		#' }
23		#'
24		#' # use the input$dt_rows in the Shiny Server function
25		#' server <- function(id) {
26		#' moduleServer(id, function(input, output, session) {
27		#' output$data_table <- renderDataTable(
28		#' {
29		#' iris
30		#' },
31		#' options = list(pageLength = input$dt_rows)
32		#' )
33		#' })
34		#' }
35		#'
36		#' if (interactive()) {
37		#' shinyApp(
38		#' ui = ui("my_table_module"),
39		#' server = function(input, output, session) server("my_table_module")
40		#' )
41		#' }
42		#' @export
43		get_dt_rows <- function(dt_name, dt_rows) {
44	!	tags$head(
45	!	tags$script(
46	!	sprintf(
47	!	"$(document).ready(function() {
48	!	$('%s').on('length.dt', function(e, settings, len) {
49	!	Shiny.onInputChange('%s', len);
50		});
51		});",
52	!	paste0("#", dt_name),
53	!	dt_rows
54		)
55		)
56		)
57		}

1		#' Small well class for HTML
2		#'
3		#' @description `r lifecycle::badge("stable")`\cr
4		#' Adds Small Well class and overflow-x property to HTML output element.
5		#' @param ... other arguments to pass to tag object's div attributes.
6		#'
7		#' @details `white_small_well` is intended to be used with [shiny::uiOutput()].
8		#' The overflow-x property is set to auto so that a scroll bar is added
9		#' when the content overflows at the left and right edges of the output window.
10		#' For example, this is useful for displaying wide tables.
11		#'
12		#' @return An HTML output element with class Small Well and overflow-x property
13		#' @export
14		#'
15		#' @examples
16		#'
17		#' white_small_well(shiny::htmlOutput("summary"))
18		white_small_well <- function(...) {
19	!	shiny::tagList(
20	!	include_css_files(pattern = "custom"),
21	!	tags$div(
22	!	class = "well well-sm bg-white",
23		...
24		)
25		)
26		}