Error in value[[3L]](cond) : input string is too long

Hello, I am new to the community and this is my first question. Please forgive me if I am doing this incorrectly. I have created an app that works when I run the app internally but gives the following error in a browser following deployment, "Error in value[3L]: input string is too long." Please see the following code below.

# global.R
library(shiny)
library(tm)
library(tidyverse)
library(wordcloud)

MASTER <- readRDS("data/dataset.clean.rds")
MASTER$DATE_RECEIVED <- as.Date(MASTER$DATE_RECEIVED, format = "%m/%d/%Y")
MASTER$FOI_TEXT <- gsub("[^[:alnum:]///' ]", "", MASTER$FOI_TEXT)

codes <- list("NIE", "EZC", "GDW", "ONU", "FTL", "MJC", "KOD", "PNO", "KNW", "DQY", "LIT", "KNT", "LJT", 
              "DYB", "LJS", "ITX", "KYZ", "KNX", "NNX", "FOZ", "PTD", "FPA", "IYO", "DTK", "MPB", "FMI",
              "PFV", "GCY", "PIJ", "FFL", "EXS", "DWJ", "EZL", "PHU", "FTM", "DQX", "KMK", "EYJ", "GBX", 
              "OHR", "EZD", "PDU", "DSY", "OTP", "OOD", "FCG", "LDF")
# Creating a UI for the MAUDE Database

navbarPage("MAUDE DATABASE",
           tabPanel("Search",
                    fluidRow(
                      column(4,
                             selectInput("code",
                                         "Product Code:", 
                                         choices = codes,
                                         selected = "LDF")),
                      
                      column(4,
                             dateRangeInput("date",
                                            label = "Date range input: yyyy-mm-dd", 
                                            startview = "month",
                                            format = "yyyy-mm-dd",
                                            start = Sys.Date()-365,
                                            end = "2018-04-30")),
                      column(4,
                             downloadButton("downloaddata", "Download")),
                      
                      # Show a table of the generated data
                      fluidRow(
                        column(8,
                               DT::dataTableOutput("table")
                        ))
        )
),
    
          tabPanel("WordCloud",
                   sidebarLayout(
                     # Sidebar with a slider and selection inputs
                     sidebarPanel(
                       selectInput("selection", "Choose a product code",
                                   choices = codes,
                                   selected = "LDF"),
                       dateRangeInput("dates",
                                      label = "Date range input: yyyy-mm-dd", 
                                      startview = "month",
                                      format = "yyyy-mm-dd",
                                      start = Sys.Date()-(2*364),
                                      end = "2018-04-30")),
                       hr()
                     ),
                     
                     # Show Word Cloud
                     mainPanel(
                       plotOutput("plot", 
                                  width = "100%", 
                                  height = "600px")
                       
                     )
                   )
                 )
server <- function(input, output, session) {
  
  datasetInput <- reactive({
    MASTER %>% 
      filter(DATE_RECEIVED >= input$date[1],
             DATE_RECEIVED <= input$date[2],
             DEVICE_REPORT_PRODUCT_CODE == input$code)
  })
  
  output$table <- DT::renderDataTable({
    dataset <- datasetInput()
    DT::datatable(dataset, filter = 'top', class = 'cell-border stripe compact hover nowrap',
                  options = list(
                    pageLength = 50,
                    autoWidth = TRUE, 
                    searchHighlight = TRUE,
                    rownames = FALSE
                  ))
  })
  
  output$downloaddata <- downloadHandler(
    filename = function() {
      paste(input$code, ".csv", sep = "")
    },
    content = function(file) {
      readr::write_csv(datasetInput(), file)
    }
  )
 
  cloudInput <- reactive({
    MASTER %>%
      na.omit() %>%
      filter(DATE_RECEIVED >= input$dates[1],
                    DATE_RECEIVED <= input$dates[2],
                    DEVICE_REPORT_PRODUCT_CODE == input$selection)
  })   
  
  # Make the wordcloud drawing predictable during a session
  wordcloud_rep <- repeatable(wordcloud)
  
  output$plot <- renderPlot({
    data_set <- cloudInput()
    text <- data_set$FOI_TEXT
    Encoding(text) <- "UTF-8"
    mycorpus <- Corpus(VectorSource(text))
    mycorpus <- tm_map(mycorpus, removePunctuation)
    mycorpus <- tm_map(mycorpus, content_transformer(tolower))
    mycorpus <- tm_map(mycorpus, removeNumbers)
    mycorpus <- tm_map(mycorpus, removeWords, stopwords("SMART"))
    
    
    
    
    myDTM <- TermDocumentMatrix(mycorpus,
                             control = list(minWordLengths = 1))
    m <- as.matrix(myDTM)
    m <- sort(rowSums(m), decreasing = TRUE)
    
    wordcloud_rep(words = names(m), freq = m, scale=c(4,0.5),
                  min.freq = 30, max.words = 10000, rot.per = 0,
                  colors = brewer.pal(8, "Dark2"), fixed.asp = FALSE)
  }) 
}

See the following picture of the Error following the rsconnect::deployApp() function completes the deployment.

Any help with this problem is greatly appreciated. I have been stuck on this for quite some time now.

Thanks,
Matt

Without the .rds file... I'm going to stab in the dark and say it has to deal with the as.Date(MASTER$DATE_RECEIVED, format = "%m/%d/%Y") in global.R.

This screenshot from Machine Learning for Hackers By Drew Conway, John White states:

Maybe check the dates with a regex at run time?

MASTER <- readRDS("data/dataset.clean.rds")

nonCompliant <- !stringr::str_detect(MASTER$DATE_RECEIVED, "^\\d{1,2}/\\d{1,2}/\\d{4}$"
if (any(nonCompliant)) {
  print(which(nonCompliant))
  print(MASTER$DATE_RECEIVED[nonCompliant])
}

# .. continue like normal
MASTER$DATE_RECEIVED <- as.Date(MASTER$DATE_RECEIVED, format = "%m/%d/%Y")

as.Date may need a tz parameter to solidify which timezone the dates are being processed as. (Your machine may be in one timezone while the rsconnect machine may be in another)