R/app_server.R

In kettyadoch/terrawatch: TerraWatch

#' The application server-side
#' 
#' @param input,output,session Internal parameters for {shiny}. 
#'     DO NOT REMOVE.
#' @import shiny
#' @noRd
app_server <- function( input, output, session ) {
  # List the first level callModules here
  
  # # authentication module
  auth <- callModule(
    module = shinymanager::auth_server,
    id = "auth",
    check_credentials = shinymanager::check_credentials(credentials)
  )

  output$res_auth <- renderPrint({
    reactiveValuesToList(auth)
  })

  observeEvent(session$input$logout,{
    session$reload()
  })
  
  
  

  df <- data.frame(
    Longitude = c(NA, NA,NA,NA),
    Latitude = c(NA,NA,NA,NA)
  )
  
  output$coordtab <- DT::renderDT({
    DT::datatable(df,rownames = F,editable = "cell",options = list(dom = 't'))
  })
  
  output$loc <- shiny::renderText({
    "KAMPALA, UGANDA"
  })
  
  output$map <- leaflet::renderLeaflet({
    leaflet::leaflet() %>% 
      
      #leaflet::addTiles() %>% 
      leaflet::setView(lng = 32.290275, lat = 1.373333, zoom = 8)%>%
      leaflet::addProviderTiles(leaflet::providers$Esri.NatGeoWorldMap)
  })
  
  
  #------------------Analytics-------------------------
  output$progressBox <- shinydashboard::renderValueBox({
    shinydashboard::valueBox(
      paste0(25 , "%"), "Model Accuracy", icon = icon("list"),
      color = "green"
    )
  })
  
  output$approvalBox <- shinydashboard::renderValueBox({
    shinydashboard::valueBox(
      "1200 sq.ft.", "Area size", icon = icon("thumbs-up", lib = "glyphicon"),
      color = "yellow"
    )
  })
  
  output$plot2 <- renderPlot({
    shinipsum::random_ggplot()
  })
  
  
  output$plot <- shiny::renderPlot({
    data <- data.frame(
      category=c("water", "forest", "vegetation"),
      count=c(10, 60, 30)
    )
    
    # Compute percentages
    data$fraction <- data$count / sum(data$count)
    
    # Compute the cumulative percentages (top of each rectangle)
    data$ymax <- cumsum(data$fraction)
    
    # Compute the bottom of each rectangle
    data$ymin <- c(0, head(data$ymax, n=-1))
    
    # Compute label position
    data$labelPosition <- (data$ymax + data$ymin) / 2
    
    # Compute a good label
    data$label <- paste0(data$category, "\n value: ", data$count)
    
    # Make the plot
    #dev.new(width=5, height=4)
    ggplot2::ggplot(data, ggplot2::aes(ymax=ymax, ymin=ymin, xmax=4, xmin=3, fill=category)) +
      ggplot2::geom_rect() +
      ggplot2::geom_text( x=2, ggplot2::aes(y=labelPosition, label=label, color=category), size=6) + # x here controls label position (inner / outer)
      ggplot2::scale_fill_brewer(palette=3) +
      ggplot2::scale_color_brewer(palette=3) +
      ggplot2::coord_polar(theta="y") +
      ggplot2::xlim(c(-1, 4)) +
      ggplot2::theme_void() +
      ggplot2::theme(legend.position = "none")
      #ggplot2::theme(plot.margin = ggplot2::unit(c(1,1,1,1),"cm"))
  })
  
  # shiny::observeEvent(input$classify, {
  #   
  #   output$infocad <- shiny::renderUI({
  #     my_infocard() %>%shiny::tagList()
  #   })
  # })
  
  observeEvent(input$classify, {
    btn <- input$classify
    id <- paste0('txt', btn)
    insertUI(
      selector = '#infocad',
      ## wrap element in a div with id for ease of removal
      ui = tags$div(
        shiny::absolutePanel(id = "analytics", class = "panel panel-default", fixed = TRUE,
                             draggable = TRUE, top = 80, left = 250, right = "auto", bottom = "auto",
                             width = 700, height = "900px",
                             style = "overflow-y: scroll;",
                             shiny::column(
                               width = 12,
                               tags$hr(),
                               tags$div(
                                 # picture
                                 tags$div(
                                   #style = "padding-top:5px;",
                                   fluidRow(
                                     column(
                                       1,
                                       shiny::span(shiny::icon("search"))
                                     ),
                                     column(
                                       11,
                                       shiny::textOutput("loc")
                                     )
                                   )
                                 ),
                                 tags$hr()
                                 ,
                                 tags$div(
                                   shiny::fluidRow(
                                     shinydashboard::valueBoxOutput("progressBox", width = 6),
                                     shinydashboard::valueBoxOutput("approvalBox", width = 6)
                                   )
                                 ),
                                 # main information
                                 tags$div(
                                   #class = "caption",
                                   tags$h4("CLASSIFICATION RESULTS"),
                                   shiny::plotOutput("plot")
                                   #p(selected_actor)
                                 ),
                                 # link to wikipedia's page
                                 tags$div(
                                   #tags$p("plot goes here"),
                                   tags$h4("MODEL PERFORMANCE OVER TIME"),
                                   shiny::plotOutput("plot2")
                                 )
                               )
                             )
                             
                             ),
        id = id
      )
    )
    #inserted <<- c(id, inserted)
  })
  
}