Edit datatable in shiny with dropdown selection (for DT v0.19)

Question

I based the code below on Stephane Laurent's solution to the following question on Stack Overflow.https://stackguides.com/questions/52593539/edit-datatable-in-shiny-with-dropdown-selection-for-factor-variables. I added in code to use editData to update the table and to be able to save/export the updates.

The following works with DT v0.18 but with DT v0.19 I found the id_cell_edit seems to not be triggering. I am unsure if it has to do with the callback or possibly jquery.contextMenu given DT v0.19 upgraded to jquery 3.0. Would appreciate any insight people may have on how to work through this.

library(shiny)
library(DT)
library(dplyr)

cars_df <- mtcars
cars_meta <- dplyr::tibble(variables = names(cars_df), data_class = sapply(cars_df, class), usage = "sel")
cars_meta$data_class <- factor(cars_meta$data_class,  c("numeric", "character", "factor", "logical"))
cars_meta$usage <- factor(cars_meta$usage,  c("id", "meta", "demo", "sel", "text"))


callback <- c(
    "var id = $(table.table().node()).closest('.datatables').attr('id');",
    "$.contextMenu({",
    "  selector: '#' + id + ' td.factor input[type=text]',",
    "  trigger: 'hover',",
    "  build: function($trigger, e){",
    "    var levels = $trigger.parent().data('levels');",
    "    if(levels === undefined){",
    "      var colindex = table.cell($trigger.parent()[0]).index().column;",
    "      levels = table.column(colindex).data().unique();",
    "    }",
    "    var options = levels.reduce(function(result, item, index, array){",
    "      result[index] = item;",
    "      return result;",
    "    }, {});",
    "    return {",
    "      autoHide: true,",
    "      items: {",
    "        dropdown: {",
    "          name: 'Edit',",
    "          type: 'select',",
    "          options: options,",
    "          selected: 0",
    "        }",
    "      },",
    "      events: {",
    "        show: function(opts){",
    "          opts.$trigger.off('blur');",
    "        },",
    "        hide: function(opts){",
    "          var $this = this;",
    "          var data = $.contextMenu.getInputValues(opts, $this.data());",
    "          var $input = opts.$trigger;",
    "          $input.val(options[data.dropdown]);",
    "          $input.trigger('change');",
    "        }",
    "      }",
    "    };",
    "  }",
    "});"
)

createdCell <- function(levels){
    if(missing(levels)){
        return("function(td, cellData, rowData, rowIndex, colIndex){}")
    }
    quotedLevels <- toString(sprintf("\"%s\"", levels))
    c(
        "function(td, cellData, rowData, rowIndex, colIndex){",
        sprintf("  $(td).attr('data-levels', '[%s]');", quotedLevels),
        "}"
    )
}

ui <- fluidPage(
    tags$head(
        tags$link(
            rel = "stylesheet",
            href = "https://cdnjs.cloudflare.com/ajax/libs/jquery-contextmenu/2.8.0/jquery.contextMenu.min.css"
        ),
        tags$script(
            src = "https://cdnjs.cloudflare.com/ajax/libs/jquery-contextmenu/2.8.0/jquery.contextMenu.min.js"
        )
    ),
    DTOutput("dt"),
    br(),
    verbatimTextOutput("table"),
    br(),
    downloadButton('download',"Download the data")
    
)

server <- function(input, output){
    
    dat <- cars_meta
    
    value <- reactiveValues()
    value$dt<-
        datatable(
            dat, editable = "cell", callback = JS(callback),
            options = list(
                columnDefs = list(
                    list(
                        targets = 2,
                        className = "factor",
                        createdCell = JS(createdCell(c(levels(cars_meta$data_class), "another level")))
                    ),
                    list(
                        targets = 3,
                        className = "factor",
                        createdCell = JS(createdCell(c(levels(cars_meta$usage), "another level")))
                    )
                )
            )
        )
    
    output[["dt"]] <- renderDT({
        value$dt
        
    }, 
    server = TRUE)
    
    Data <- reactive({
        info <- input[["dt_cell_edit"]]
        if(!is.null(info)){
            info <- unique(info)
            info$value[info$value==""] <- NA
            dat <-  editData(dat, info, proxy = "dt")
        }
        dat
    })
    
    
    #output table to be able to confirm the table updates
    output[["table"]] <- renderPrint({Data()})  
    
    output$download <- downloadHandler(
        filename = function(){"Data.csv"}, 
        content = function(fname){
            write.csv(Data(), fname)
        }
    )
}

shinyApp(ui, server)