R/growth_rate_UI.R

In Aqvayli06/SaldaeModulesUI: Shiny Dashboard modules by Fair Analytics

#------------------------ multiple-select, multiple output
#' Saldae Dashboard Module UI (growth rate)
#' @description Saldae Dashboard module UI : growth rate calculator
#' @author Farid Azouaou
#' @param id  server module ID
#' @param div_width dimension information about the framework(html object)
#' @param mod_title module title (default NULL)
#' @return UI module
#' @export

SA_tisefka_gemmu_UI <- function(id,mod_title = NULL ,div_width = "col-xs-12 col-sm-6 col-md-8") {
  ns <- NS(id)
  fluidPage(
    uiOutput(ns("growth_board_box")),
    uiOutput(ns("graphs_ui"))
  )
}



#' Saldae Dashboard Module Server Growth Rate
#' @description Saldae Dashboard module SERVER : render and generate multiple output objects for growth rates
#' @author Farid Azouaou
#' @param input  input shinydashboard elements containing information to use for output generation
#' @param output output shinydashboard element
#' @param session shiny session
#' @param tisefka reactive object containing data
#' @param div_width dimension information about the framework(html object)
#' @return output objects to be displayed in corresponding UI module
#' @export

SA_tisefka_gemmu_mod <- function(input, output, session,i18n,tisefka,div_width = "col-xs-6 col-sm-12 col-md-6") {

  ns <- session$ns

  tisefka_choices <- reactive({
    req(tisefka())
    tisefka()$numeric_variables
  })
  tisefka_tizegzawin <- reactive({
    req(tisefka())
    tisefka()$tisefka_tizegzawin
  })
  non_numeric_variables <- reactive({
    req(tisefka())
    tisefka()$non_numeric_variables
  })
  categoricals_unique_values <- reactive({
    req(tisefka())
    tisefka()$categoricals_unique_values
  })
  ts_time_units <- reactive({
    tisefka()$ts_time_units
  })


  output$growth_board_box <- renderUI({
    bs4Dash::box(title = i18n$t("Growth Rate Board"),collapsible = TRUE,
                        status = "info", solidHeader = TRUE, width = 12,
                        #-----HEADER CONTENT
                        fluidRow(
                          column(width = 3,uiOutput(ns("select_element")))    ,
                          column(width = 2,uiOutput(ns("var_granularity"))),
                          column(width = 3,uiOutput(ns("gemmu_rate_yellan"))),
                          column(width = 2,uiOutput(ns("aggregation_metric"))),
                          column(width = 2,shiny::br(),uiOutput( ns("submit")))
                        ),
                 uiOutput(ns("non_numeric_variables_inputs")),
                 SaldaeReporting::add_to_report_ui(ns("add_growth_rate"))

    )
  })

  output$submit <- renderUI({
    req(input$variable_picker)
    bs4Dash::actionButton(inputId = ns("submit"), label = i18n$t("Start"), icon = icon("play"), status  = "info")
  })

  observeEvent(eventExpr=non_numeric_variables(),handlerExpr= {
    non_numeric_variables()%>%purrr::imap( ~{
      output_name_app <- paste0("non_numeric_variables_", .x)
      output[[output_name_app]] <- renderUI({
        ml_choices <- tisefka()$var_factors[[.x]]
        shinyWidgets::pickerInput(
          inputId = ns(output_name_app),
          label = gsub("_"," ",.x),
          choices = categoricals_unique_values()[[.x]],
          options = list(
            `actions-box` = TRUE,
            size = 10,
            `selected-text-format` = "count > 3"
          ),
          multiple = TRUE
        )
      })
    })
  })

  output$non_numeric_variables_inputs <- renderUI({
    req(non_numeric_variables())
    fluidRow(
      purrr::map(non_numeric_variables(), ~{
        column(width = 2, uiOutput(ns(paste0("non_numeric_variables_",.x))))
      })
    )
  })

  output$select_element <- renderUI({
    req(tisefka_tizegzawin())
    shinyWidgets::pickerInput(inputId = ns("variable_picker"),
                              label = i18n$t("Target variables"),
                              multiple = TRUE,
                              choices = tisefka_choices(),
                              selected = NULL
    )
  })
  output$var_granularity <- renderUI({
    req(non_numeric_variables())
    shinyWidgets::pickerInput(inputId = ns("var_granularity"),
                              label = i18n$t("Granularity"),
                              multiple = TRUE,
                              choices = non_numeric_variables(),
                              selected = NULL
    )
  })
  # aggregation metric
  output$aggregation_metric <- renderUI({
    req(non_numeric_variables())
    aggregation_choices <- c("Average","Sum","Min","Max","Median")
    shinyWidgets::pickerInput(inputId = ns("aggregation_metric"),
                              label = i18n$t("Aggregation"),
                              multiple = FALSE,
                              selected = aggregation_choices[1],
                              choices = aggregation_choices
    )
  })


  tisefka_iheggan <- reactive({
    req(tisefka_tizegzawin())
    req(input$variable_picker)

    aggreg_fun <- SA_aggregation_funs(aggregation_metric = input$aggregation_metric )
    tisefka_iheggan <- tisefka_tizegzawin()
    if(length(non_numeric_variables())>0){
      categ_input_filter <-non_numeric_variables()%>%purrr::map(~input[[paste0("non_numeric_variables_",.x)]])%>%
        stats::setNames(non_numeric_variables())
      categ_input_filter <- categ_input_filter[!unlist(lapply(categ_input_filter, is.null))]
      for(cat_input in names(categ_input_filter)){
        if("NA" %in% categ_input_filter[[cat_input]])categ_input_filter[[cat_input]] <- c( categ_input_filter[[cat_input]], NA)
        tisefka_iheggan <- tisefka_iheggan%>%dplyr::filter(!!rlang::sym(cat_input)%in%categ_input_filter[[cat_input]])
      }
    }
    if(is.null(input$var_granularity)){
      if(is.null(aggreg_fun))aggreg_fun <- sum
      tisefka_iheggan<- tisefka_iheggan%>%dplyr::select(date,!!input$variable_picker)%>%
        dplyr::group_by(date)%>%dplyr::summarise_all(aggreg_fun)
    }else{
      list_val_fn <- input$variable_picker%>%purrr::map(~aggreg_fun)%>%stats::setNames(input$variable_picker)
      tisefka_iheggan<- tisefka_iheggan %>%
        tidyr::pivot_wider(
          id_cols  = date,
          names_from  = input$var_granularity,
          values_from = input$variable_picker,
          values_fn = list_val_fn)
    }
    tisefka_iheggan <- tisefka_iheggan%>%dplyr::arrange(date)

    max_variables <- min(ncol(tisefka_iheggan),13)
    tisefka_iheggan <- tisefka_iheggan[1:max_variables]

    return(tisefka_iheggan)
  })



  target_variables <- reactive({
    req(tisefka_iheggan())
    target_variables <- colnames(tisefka_iheggan())
    target_variables <- target_variables[target_variables!="date"]
    return(target_variables)
  })


  SA_div_width <- reactive({
    req(target_variables())
    if(length(target_variables())==1){
      div_width  <- c(12,12)
    }else if(length(target_variables())==2){
      div_width  <- c(6,12)
    }else{
      div_width  <- c(4,12)
    }
    return(div_width)
  })

  output$gemmu_rate_yellan <- renderUI({
    req(ts_time_units())
    gemmu_yellan <- SaldaeDataExplorer::gemmu_yellan_f(base_unit = ts_time_units()[1])
    names(gemmu_yellan) <- i18n$t(gemmu_yellan)

    shinyWidgets::radioGroupButtons(
      inputId = ns("gemmu_rate_yellan"),
      label = i18n$t("Possible rates"),
      choices = gemmu_yellan,
      justified = TRUE,status = "info",
      checkIcon = list(
        yes = icon("ok",
                   lib = "glyphicon"))
    )
  })

  #----------------
  tisefka_gemmu <- eventReactive(input$submit, {
    req(target_variables)
    req(input$gemmu_rate_yellan)
    tisefka_gemmu <- SaldaeDataExplorer::Saldae_rate_n_gemmu_f(tisefka = tisefka_iheggan(),target_ts = target_variables(),gemmu_iswi = input$gemmu_rate_yellan, base_unit = ts_time_units()[1])
    if(is.null(tisefka_gemmu))shinyalert::shinyalert(title = i18n$t("Growth Rate"), text = i18n$t("No data available with strictly positive values"),type = "error")
    return(tisefka_gemmu)
  })

  tisefka_tables <- reactive({
    req(tisefka_gemmu())
    return(purrr::map(.x =tisefka_gemmu(),~DT::datatable(.x,extensions = c('Scroller','Buttons'), options = list(dom = 'Bfrtip',buttons = c('copy', 'csv', 'excel', 'pdf', 'print'), deferRender = TRUE, scrollY = 200,scrollX= TRUE, scroller = TRUE)))%>%
             stats::setNames(names(tisefka_gemmu())))
  })

  tisefka_yiwen_plots <- reactive({
    req(tisefka_gemmu())
    gemmu_grphs <- purrr::map(.x = tisefka_gemmu(),~SaldaeDataExplorer::sekned_gemmu_f(gemmu_tisefka = .x))
    return(gemmu_grphs)
  })
  #---------------------
  output$graphs_ui <- renderUI({
    req(tisefka_yiwen_plots())
    plots_list <- purrr::imap(tisefka_yiwen_plots(), ~{
      bs4Dash::tabBox(width = SA_div_width()[1], title = .y,status = "info", solidHeader = TRUE,
                      tabPanel(icon("fas fa-chart-bar"),
                               plotly::plotlyOutput(ns(paste0("tisefka_plot_",.y)), height = "300px")
                      ),
                      tabPanel(icon("table"),
                               DT::dataTableOutput(ns(paste0("tisefka_table_",.y)))
                      )
      )
    })


    fluidRow(plots_list)
  })
  observeEvent(tisefka_yiwen_plots(), {
    if(length(tisefka_yiwen_plots()) == 0)shinyalert::shinyalert(title = "Growth Rate", text = "No data available with strictly positive values",type = "error")
    req(tisefka_yiwen_plots())
    purrr::map(names(tisefka_yiwen_plots()), ~{
      output_name_plot <- paste0("tisefka_plot_", .x)
      output_name_table <- paste0("tisefka_table_", .x)
      output[[output_name_plot]] <- plotly::renderPlotly(tisefka_yiwen_plots()[[.x]])
      output[[output_name_table]] <- DT::renderDataTable(tisefka_tables()[[.x]])

    })
  })
  # add to report
  report_dir <- "./thaink2_report/"

  item_elements <- reactive({
    req(tisefka_gemmu())
    req(tisefka_yiwen_plots())
    data_result <- list(output_data = tisefka_gemmu(),
                        output_graph = tisefka_yiwen_plots(),
                        output_comment = "output_comment")
    graph_type <- "lines"; categoricals <- NULL; output_type <- c("growth_rate");time_frequency <- "hours"
    list(
      data_result = data_result, # result to include into the report, can be table or graph or both
      granularity = input$var_granularity, # NULL or a list of categoricals
      aggregation_metric = input$aggregation_metric, # raw, max, min, mean,
      time_frequency = time_frequency, # hours, days, weeks, months, quarters, years
      graph_type = graph_type, # lines , markers, aread
      categoricals = categoricals,
      output_type = output_type # c("exploration","forecast","growth_rate")
    )
  })

  report_details <- reactive({
    list(
      report_dir = report_dir,
      report_id  = "0001"
    )
  })

  SaldaeReporting::add_to_report_server("add_growth_rate", report_details = report_details(),item_elements = reactive({item_elements()}))
  #---------------return an output
  gemmu_output <- reactive({
    req(tisefka_gemmu())
    output <- list()
    gemmu_inu <- tisefka_gemmu()
    gemmu_inu$date <- gemmu_inu[[1]]%>%dplyr::select(date)
    my_func <- function(x=NULL,y =NULL){if(y=="date"){x%>%select(date)}else{x%>%pull(2)}}
    gemmu_inu <- gemmu_inu%>%purrr::imap(~my_func(.x,.y))
    output$tisefka_tizegzawin <- gemmu_inu%>%data.frame()%>%as.tbl()
    return(output)
  })
}