Edit DT with modules

app.R

### Libraries
library(shiny)
library(dplyr)
library(DT)

### Data
input_data <- data.frame(Brand = c("Brand1", "Brand2","Brand3"),
                         ratio = c (.5, .5, .5),
                         cost = c(2000, 3000, 4000),
                         stringsAsFactors = FALSE) %>% 
                         mutate(updated_price = cost * ratio)

### Module
modFunction <- function(input, output, session, data,reset) {
  
  v <- reactiveValues(data = data)
  
  proxy = dataTableProxy("mod_table")
  
  observeEvent(input$mod_table_cell_edit, {
    print(names(v$data))
    info = input$mod_table_cell_edit
    str(info)
    i = info$row
    j = info$col
    k = info$value
    str(info)
    
    isolate(
      if (j %in% match(c("ratio","cost","updated_price"), names(v$data))) {
        print(match(c("ratio","cost", "updated_price"), names(v$data)))
        v$data[i, j] <<- DT::coerceValue(k, v$data[i, j])
        print(v$data)
        
        if (j %in% match("cost", names(v$data))) {
          v$data$updated_price <<- v$data$cost * v$data$ratio
        }
        if (j %in% match("ratio", names(v$data))) {
          v$data$updated_price <<- v$data$cost * v$data$ratio
        }
      } else {
        stop("You are not supposed to change this column.") # check to stop the user from editing only few columns
      }
    )
    replaceData(proxy, v$data, resetPaging = FALSE)  # replaces data displayed by the updated table
  })
  
  ### Reset Table
  observeEvent(reset(), {
    v$data <- data # your default data
  })
  
  print(isolate(colnames(v$data)))
  output$mod_table <- DT::renderDataTable({
    DT::datatable(v$data, editable = TRUE)
    
  })
}

modFunctionUI <- function(id) {
  ns <- NS(id)
  DT::dataTableOutput(ns("mod_table"))
  
}

### Shiny App
shinyApp(
  ui = basicPage(
    mainPanel(

      actionButton("reset", "Reset"),
      tags$hr(),
      modFunctionUI("editable")
    )
  ),
  server = function(input, output) {
    demodata<-input_data
    callModule(modFunction,"editable", demodata,
               reset = reactive(input$reset))
    
  }
)

This code has been super helpful! I need to incorporate additional input filters, but when I try to filter the initial data frame to allow for this and run the code I get:
"Error in dplyr::filter(): caused by error in mask$eval_all_filter() object 'input' not found"

Do you know how I could incorporate other drop down filters into this app?