'while updating the datatable in R shiny, how to make column inputs necessary fields using "validate" and "need" in R shiny

I am creating R shiny app, when the user inputs values in the columns "schoolid," "userid," "class," "result," and "Date of the result / Remarks for fail" and clicks the button "Add," the related datable is displayed in "Tab2", it works perfectly at present.

What I want is, for the "schoolid" and "userid" fields to be required mandatory in the datable. I believe this can be accomplished using 'validate' and 'need,' but I'm not sure how to go about doing so. Could someone please assist me with this?

Note: I am asking this new inquiry after referring to my previous one.: How to download the datatable to .xpt file in R shiny?

code

library(shiny)
library(stringr)
library(shinydashboard)
library(tidyverse)
library(DT)
library("SASxport")

ui <- fluidPage(
  fluidRow(tabsetPanel(id='tabs', 
                       tabPanel("Tab1",
                                div(id = "form", 
                                    textInput("schoolId", label="SchoolId *" ),
                                    selectInput("userId", label="UserId", choices = c("UserA", "UserB", "UserC"),selected = "UserA"), 
                                    textInput("class", label = "class"), 
                                    selectInput("result", label="result", choices = c("PASS", "FAIL" )),
                                    dateInput("resultdate", value = NA, label = "Date of the result / Remarks for fail"
                                              , format = "yyyy-mm-dd" )
                                ),
                                actionButton("add", "Add")
                       ), 
                       tabPanel("Tab2", 
                                tabPanel("View", 
                                         conditionalPanel("input.add != 0", 
                                                          DTOutput("DT2"), hr(), downloadButton('downloadData', 'Download'))
                                )
                       )
  )
  )
)

server <- function(input, output, session) {
  store <- reactiveValues()
  
  observeEvent(input$add,{
    new_entry <- data.frame(SCHOOLID=input$schoolId, USERID=input$userId
                            , CLASS= input$class
                            , RESULT=input$result,
                            RESULT_DATE = input$resultdate)
    
    if("value" %in% names(store)){
      store$value<-bind_rows(store$value, new_entry)
    } else {
      store$value<-new_entry
    }
    # If you want to reset the field values after each entry use the following two lines
    for(textInputId in c("schoolId", "class")) updateTextInput(session, textInputId, value = "")
    updateSelectInput(session, "userId", selected = "UserA")
    updateSelectInput(session, "result", selected = "PASS")
    updateDateInput(session, "resultdate")
  })
  output$DT2 <- renderDT({
    store$value
  })
  
  output$downloadData <- downloadHandler(
    filename = paste0("mydata", ".xpt"),
    content = function(file){
      write.xport(store$value, file = file)
    }
  )
  
}

shinyApp(ui, server)


Sources

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Source: Stack Overflow

Solution Source