R Shiny, how to use highcharts drilldown in shinyapp depending on selectinput widget result?

I am trying to create a drill down chart using highcharts package, the chart must be dependent on the selectinput results.

The current error is Error in .getReactiveEnvironment()$currentContext() : Operation not allowed without an active reactive context. (You tried to do something that can only be done from inside a reactive expression or observer.)

the expected or desired output is to get dynamic plot depending on the selected value.

library (shinyjs)
library (tidyr)
library (data.table)
library (highcharter)
library (dplyr)
library (shinydashboard)
library (shiny)



x <- c("Farm","Farm","Farm","City","City","City","Ocean","Ocean")
y <- c("Sheep","Sheep","Cow","Car","Bus","Bus","Boat","Boat")
z <- c("Bill","Tracy","Sandy","Bob","Carl","Newt","Fig","Tony")
a <- c(1,1,1,1,1,1,1,1)
b <- c(3,2,5,1,3,5,1,5)
c <- c(4,6,7,7,4,2,1,6)

xxxx <- data.frame(x, y, z, a, b, c, stringsAsFactors = FALSE)



header <- dashboardHeader()
body <- dashboardBody(
selectInput("selectid","Select a Measurement",choices=c("a","b","c"),selected = "a"),
 highchartOutput("Working"))
 sidebar <- dashboardSidebar()

ui <- dashboardPage(header, sidebar, body)

server <- function(input, output, session) {

zzz<-reactive({
#browser

  select(xxxx,one_of(c("x", "y", "z", input$selectid)))})
output$Working <- renderHighchart({
summarized <- zzz() %>%
  group_by(x) %>%
  summarize(Quantity = sum(!!sym(input$selectid)))
summarized <- arrange(summarized, desc(Quantity))

tibbled <- tibble(name = summarized$x, y = summarized$Quantity)



# This time, click handler is needed.

drilldownHandler <- 
  JS(
    "function(event) {Shiny.onInputChange('ClickedInput', event.point.drilldown);}")
    installDrilldownReceiver <- JS("function() {
                         var chart = this;
                               Shiny.addCustomMessageHandler('drilldown', function(message) {
                               var point = chart.get(message.point)
                               chart.addSeriesAsDrilldown(point, message.series);
                               });
}")

highchart() %>%
  hc_chart(events = list(load = installDrilldownReceiver, drilldown = drilldownHandler)) %>%
  hc_xAxis(type = "category") %>%
  hc_add_series(tibbled, "column", hcaes(x = name, y = y, drilldown = name, id = name), color = "#E4551F") %>%
  hc_plotOptions(column = list(stacking = "normal")) %>%
  hc_drilldown(allowPointDrilldown = TRUE)
})
observeEvent(
#browser
input$ClickedInput, {
levels <- strsplit(input$ClickedInput, "_", fixed = TRUE)[[1]]
resemblences <- c("x", "y", "z")
dataSubSet <- reactive({
  #browser()
  zzz()
})

for (i in 1:length(levels)) {

  dataSubSet() <- zzz()[zzz()[[resemblences[i]]] == levels[i],]

}
normalized <- data.frame(category = dataSubSet()[[resemblences[length(levels) + 1]]], amount = input$selectid)
summarized <- normalized %>%
  group_by(category) %>%
  summarize(Quantity = sum(amount))
summarized <- arrange(summarized, desc(Quantity))
tibbled <- tibble(name = summarized$category, y = summarized$Quantity)
nextLevelCodes = lapply(tibbled$name, function(fac) {
  paste(c(levels, as.character(fac)), collapse = "_")
}) %>% unlist
tibbled$id = nextLevelCodes
if (length(levels) < length(resemblences) - 1) {
  tibbled$drilldown = nextLevelCodes
}
session$sendCustomMessage("drilldown", list(
      series = list(
        type = "column",
    name = paste(levels, sep = "_"),
    data = list_parse(tibbled)
  ),

point = input$ClickedInput

))
})  
output$trial <- renderText({input$ClickedInput})
}

shinyApp(ui, server)