inst/shiny/examples/4_communication/mod_PlotGenerator.R

In Novartis/tidymodules: A robust framework for developing shiny modules

PlotGenerator <- R6::R6Class(
  classname = "PlotGenerator",
  inherit = Panel,
  public = list(
    plots = list(
      line = c("LinePlot", "Xiao"),
      box = c("BoxPlot", "David"),
      scatter = c("ScatterPlot", "Mustapha"),
      scatter3D = c("Scatter3DPlot", "Mustapha")
    ),
    initialize = function(...) {
      # Mandatory
      super$initialize(...)

      # Ports definition starts here
      self$definePort({
        # At least one input
        self$addInputPort(
          name = "mappings",
          description = "Named list of character vectors defining mapping of columns",
          sample = list(
            map1 = c("col1", "col2"),
            map2 = c("col4", "col7")
          )
        )

        self$addInputPort(
          name = "tables",
          description = "Named list of data tables forwarded to the plotting modules",
          sample = list(
            raw = data.frame(id = 1:10, val = 11:20),
            filtered = data.frame(id = 5:10, val = 15:20)
          )
        )

        # Add an output port (optional)
        self$addOutputPort(
          name = "selection",
          description = "Data table with user selected data points",
          sample = head(mtcars)
        )
      })
    },
    ui = function() {
      controls <- tagList(
        tags$br(), tags$br(),
        div(style = "display: inline-block;vertical-align:middle; width: 150px;", shiny::selectInput(self$ns("data"), label = "data", choices = c())),
        div(style = "display: inline-block;vertical-align:middle; width: 150px;", shiny::selectInput(self$ns("mapping"), label = "mapping", choices = c())),
        div(style = "display: inline-block;vertical-align:middle; width: 150px;", shiny::selectInput(self$ns("plot"), label = "plot type", choices = names(self$plots))),
        div(style = "display: inline-block;vertical-align:middle; width: 130px;", shiny::checkboxInput(self$ns("disconect_data"), label = "disconnect data", value = TRUE)),
        div(style = "display: inline-block;vertical-align:middle; width: 130px;", shiny::checkboxInput(self$ns("disconect_mapping"), label = "disconnect mapping", value = TRUE)),
        div(style = "display: inline-block;vertical-align:middle; width: 150px;", shiny::actionButton(self$ns("add"), label = NULL, icon = icon("plus")))
      )

      super$ui(
        status = "success",
        header = controls,
        fluidRow(
          id = self$ns("plotContainer")
        )
      )
    },
    server = function(input, output, session) {
      # Mandatory
      super$server(input, output, session)

      self$obser$updateData <- observe({
        t <- self$getInput("tables")
        shiny::req(t)
        shiny::updateSelectInput(session, "data", choices = names(t), selected = "raw")
      })

      self$obser$updateMapping <- observe({
        mPort <- self$getInput("mappings")
        req(mPort)
        options <- names(mPort())
        if (is.null(options)) {
          options <- list()
        }
        shiny::updateSelectInput(session, "mapping", choices = options)
      })

      self$obser$logAddClick <- observe({
        cat(paste0("\n\n\n", input$add, "\n\n\n"))
      })

      self$obser$add <- observeEvent(input$add, {
        reactive_mapping <- self$getInput("mappings")
        reactive_table <- self$getInput("tables")

        selected_mapping <- input$mapping
        selected_data <- input$data
        selected_plot <- input$plot

        req(reactive_mapping)
        req(reactive_table)

        current_mapping <- reactive_mapping()[[selected_mapping]]
        req(length(current_mapping) != 0)

        current_data <- reactive_table[[selected_data]]()
        req(!is.null(current_data))

        mod <- self$plots[[selected_plot]][1]
        author <- self$plots[[selected_plot]][2]
        mod <- eval(parse(text = mod))

        # dynamically create the selected charting module
        # Note that these are nested modules (module namespace includes Doug_)
        # Also note that the parent module "self" need to be specified when dynamically
        # creating a nested module
        mod <- mod$new(paste0(author, "_", input$add), parent = self)

        # feed a static version of the data/mapping to the module
        if (input$disconect_data) {
          reactive(current_data) %->% mod$iport("data")
        } else {
          reactive_table[[selected_data]] %->% mod$iport("data")
        }

        if (input$disconect_mapping) {
          reactive(current_mapping) %->% mod$iport("mapping")
        } else {
          reactive({
            reactive_mapping()[[selected_mapping]]
          }) %->% mod$iport("mapping")
        }

        # now call the module
        mod$callModule()

        mflag <- tagList(shiny::icon("bolt"), " ")
        if (input$disconect_mapping) {
          mflag <- ""
        }

        dflag <- tagList(shiny::icon("bolt"), " ")
        if (input$disconect_data) {
          dflag <- ""
        }

        header <- tagList(" - ", dflag, selected_data, " - ", mflag, selected_mapping)

        # render the module
        insertUI(
          selector = paste0("#", self$ns("plotContainer")),
          where = "afterBegin",
          immediate = TRUE,
          session = session,
          ui = tagList(
            column(6, mod$ui(header = header))
          )
        )
      })

      # Ports assignment starts here
      self$assignPort({
        # TODO: Add output port, e.g. brushing selection ?
        # self$updateOutputPort(
        #   id = "dataset",
        #   output = modOut)
      })

      return({})
    }
  )
)