Synchronizing Dependent selectInputs And Table Output in Shiny App

I have a Shiny app with two dependent selectInputs: input$name (corresponding to the Name field in the data) and input$date (corresponding to the Contract_Start_Date field in the data). The input$date options are dynamically updated based on the selected input$name, and I need the data table output to always reflect the correct data based on synchronized selections from both selectInputs. The challenge is ensuring the data table isn’t generated based on an outdated input$date before it is updated after input$name changes.

To ensure synchronization between input$name and input$date, I used the following approach:

  • Reactive Values: I used reactiveValues to store synchronized inputs and their states.
  • Dynamic Update of Date Choices: When input$name changes, I dynamically update input$date options based on the selected input$name. This is done using an observeEvent that updates the input$date choices and sets the selected date to the first available date from the new choices.
  • Validation of Date Selection: I observed both input$name and input$date using an observe function. This function ensures that the selected date is valid for the selected name before updating the reactive values.
  • Filtered Data Generation: I used a reactive expression to filter the data based on the synchronized inputs, ensuring the data table is always generated based on the current and valid selections.

This approach is meant to ensurethat the data table is updated only when both input$name and input$date are synchronized, avoiding issues where the table might be generated based on outdated or invalid date selections.

Is this a correct approach to solve the synchronization problem? Is there a better way to do this?

I've tried several approaches to this and they all seem to work fine (one involving invalidateLater, one involving freezeReactiveValue, and several over approaches). No noticeable issues when actually using the app... And this is even with approaches I know are wrong that could lead to data synchronization issues and input$date being used to generate the data table output before being invalidated once input$name changes. On potential issue with my approach below is potential overlaps in date options. What if you change the value of input$name and the new name has dates that overlap with the previous name?

Anyways thanks in advance for any help on this.

library(shiny)
library(dplyr)
library(lubridate)

data <- structure(list(Name = c("A", "A", "A", "A", "A", "A", "A", "A", 
                                "A", "B", "B", "B", "B", "B", "B", "B", "B", "B"), 
                       Contract_Start_Date = structure(c(18993, 18993, 18993, 19754, 
                                                         19754, 19754, 20089, 20089, 20089, 18993, 
                                                         18993, 18993, 19358, 19358, 19358, 20544, 20544, 20544), 
                                                       class = "Date"), 
                       Line_of_Business = c("L1", "L2", "L3", "L1", "L2", 
                                            "L3", "L1", "L2", "L3", "L1", "L2", "L3", 
                                            "L1", "L2", "L3", "L1", "L2", "L3"), 
                       Members = c(589L, 342L, 235L, 100L, 212L, 
                                   235L, 335L, 456L, 567L, 687L, 982L, 123L, 145L, 167L, 231L, 
                                   234L, 1234L, 999L)), row.names = c(NA, -18L), 
                  class = c("tbl_df", "tbl", "data.frame"))
lookup <- structure(list(Name = c("A", "A", "A", "B", "B", "B"), Contract_Start_Date = structure(c(18993, 
                                                                                                   19754, 20089, 18993, 19358, 20544), class = "Date"), Salesforce_ID = c("A1", 
                                                                                                                                                                          "A2", "A3", "B1", "B2", "B3")), class = c("tbl_df", "tbl", "data.frame"
                                                                                                                                                                          ), row.names = c(NA, -6L))                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             


ui <- fluidPage(
  titlePanel("Example App"),
  sidebarLayout(
    sidebarPanel(
      selectInput("name", "Select Name:", choices = sort(unique(lookup$Name))),
      selectInput("date", "Select Contract Start Date:", choices = NULL)
    ),
    mainPanel(
      dataTableOutput("dataOutput")
    )
  )
)

server <- function(input, output, session) {
  # Reactive values to store synchronized inputs and state
  rv <- reactiveValues(name = NULL, date = NULL)
  
  # Reactive expression for date choices based on selected Name
  date_choices <- reactive({
    req(input$name)
    lookup %>%
      filter(Name == input$name) %>%
      pull(Contract_Start_Date)
  })
  
  # Update date based on reactive expression for dates
  observeEvent(input$name, {
    dates <- date_choices()
    updateSelectInput(session, "date", choices = dates, selected = dates[1])  # Update input$date with new valid choices
  })
  
  # Observe and update reactive values
  observe({
    req(input$name, input$date)
    
    valid_dates <- date_choices()
    if (as.character(input$date) %in% as.character(valid_dates)) {
      rv$name <- input$name
      rv$date <- input$date
    }
  })
  
  # Reactive expression to filter the data based on synchronized inputs
  filtered_data <- reactive({
    req(rv$name, rv$date)
    cat("ran\n") # should just print 'ran' once each time name or date is updated by user
    data %>%
      filter(Name == rv$name, Contract_Start_Date == as.Date(rv$date))
  })
  
  # Render the filtered data as a table
  output$dataOutput <- renderDataTable({
    req(filtered_data())  # Ensure filtered_data is valid before rendering
    filtered_data()
  })
}

shinyApp(ui = ui, server = server)