R/mod_plotly_pie.R

In rahulchauhan049/dashboard.experiment: An agile framework for biodiversity dashboards

#' plotly_pie UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd 
#'
#' @importFrom shiny NS tagList 
mod_plotly_pie_ui <- function(id){
  ns <- NS(id)
  tagList(
    fluidRow(
      column(
        12,
        mod_plot_field_selector_ui(ns("plot_field_selector_ui_1"))
      )
    ),
    fluidRow(
      br(),
      uiOutput(ns("back")),
      plotlyOutput(ns("plot")),
    ),
    fluidRow(
      mod_plot_navigation_ui(ns("plot_navigation_ui_1"))
    ),
    hr()
  )
}

#' plotly_pie Server Function
#'
#' @noRd 
mod_plotly_pie_server <- function(input, output, session, data_reactive, data_original, column_name){
  ns <- session$ns
  
  
  plot <- reactiveValues(page_number = 1, suspended = TRUE)
  
  
  preselected <- reactiveValues(default_fields = list(x=column_name), new_fields = list(Select_X=column_name))
  
  callModule(mod_plot_field_selector_server, "plot_field_selector_ui_1", data_reactive, preselected, plot_type = "pie" )
  
  pages <- callModule(mod_plot_navigation_server, "plot_navigation_ui_1", plot, preselected, data_reactive, 30)
  
  
  
  
  output$plot <- renderPlotly({
    validate(
      need(length(data_original())>0, 'Please upload/download a dataset first')
    )
    
    validate(
      need(!is.null(preselected$new_fields$Select_X), 'Please Select A Column using Field Selector')
    )
    
    
    validate(
      need(preselected$new_fields$Select_X %in% colnames(data_reactive$data), 
           'Default column not found in data. Please select another column using Field Selector')
    )
    
    column_x <- preselected$new_fields$Select_X
    
    
    temp_data <-  filter(
      data_reactive$data,
      data_reactive$data[[ preselected$new_fields$Select_X]]%in% pages()
    )
    
    if(plot$suspended) {
      observer$resume()
      plot$suspended <- FALSE
    }
    
    future({
      dat <- as.data.frame(table("a"=temp_data[[column_x]]))
      dat
    }) %...>%
      
      plot_ly(
        type='pie',
        labels=~a,
        values= ~Freq, 
        key = ~a, 
        showlegend = FALSE,
        source = ns("tab1")
      ) %...>%
      layout(
        # title = preselected$new_fields$Select_X,
        paper_bgcolor = 'transparent',
        plot_bgcolor = "transparent",
        showlegend = FALSE,
        xaxis = list(
          color = '#ffffff',
          zeroline = TRUE,
          showline = TRUE,
          showticklabels = TRUE,
          showgrid = FALSE
        ),
        yaxis = list(
          color = '#ffffff',
          showticklabels = TRUE,
          showgrid = FALSE
        )
      )
    
    
  })
  
  # populate back button if category is chosen
  
  output$back <- renderUI({
    if(!is.null(data_reactive$events[[ns("tab1")]])){
      actionBttn(
        ns("clear"),
        "Back/Reset",
        icon("chevron-left"),
        style = "simple", 
        color = "primary",
        size = "sm"
      )
    }
    
  })
  




  observeEvent(input$clear, {
    data_reactive$events[[ns("tab1")]] <- NULL
    temp_data <- data_original()
    for(val in data_reactive$events){
      temp_data <- temp_data[temp_data[[val[[2]]]] == val[[1]],]
    }
    latitudeName <- "verbatimLatitude"
    if("decimalLatitude" %in% colnames(data_reactive$data))
    {
      latitudeName <- "decimalLatitude"
    }
    
    if(!is.null(data_reactive$leaflet_data)){
      temp_data <- temp_data[temp_data[[latitudeName]] %in% data_reactive$leaflet_data[[latitudeName]],]
    }
    data_reactive$data <- temp_data
  })
  
  
  observer <- observeEvent(event_data("plotly_click", source = ns("tab1")), ignoreNULL = FALSE, suspended = TRUE, {
    
    
    event <- event_data("plotly_click", source = ns("tab1"))
    
    
    
    if(!is.null(event)){
      data_reactive$events[[ns("tab1")]] <- list(event$key, preselected$new_fields$Select_X)
      temp_data <- data_original()
      
      for(val in data_reactive$events){
        temp_data <- temp_data[temp_data[[val[[2]]]] == val[[1]],]
      }
      latitudeName <- "verbatimLatitude"
      if("decimalLatitude" %in% colnames(data_reactive$data))
      {
        latitudeName <- "decimalLatitude"
      }
      
      if(!is.null(data_reactive$leaflet_data)){
        temp_data <- temp_data[temp_data[[latitudeName]] %in% data_reactive$leaflet_data[[latitudeName]],]
      }
      data_reactive$data <- temp_data
    }
  })
}

## To be copied in the UI
# mod_plotly_pie_ui("plotly_pie_ui_1")
    
## To be copied in the server
# callModule(mod_plotly_pie_server, "plotly_pie_ui_1")