library(bslib) library(shiny) library(openxlsx2) library(haven) library(readODS) library(readr) library(dplyr) library(devtools) if (!requireNamespace("REDCapCAST")) { devtools::install_github("agdamsbo/REDCapCAST", quiet = TRUE, upgrade = "never") } library(REDCapCAST) server <- function(input, output, session) { v <- shiny::reactiveValues( file = NULL ) dat <- shiny::reactive({ shiny::req(input$ds) out <- read_input(input$ds$datapath) # Saves labels to reapply later # labels <- lapply(out, get_attr) out <- out |> ## Parses data with readr functions parse_data() |> ## Converts logical to factor, which overwrites attributes ## dplyr::mutate(dplyr::across(dplyr::where(is.logical), as_factor)) if (!is.null(input$factor_vars)) { out <- out |> dplyr::mutate( dplyr::across( dplyr::all_of(input$factor_vars), as_factor ) ) } # Old attributes are appended # out <- purrr::imap(out,\(.x,.i){ # set_attr(.x,labels[[.i]]) # }) |> # dplyr::bind_cols() out }) # getData <- reactive({ # if(is.null(input$ds$datapath)) return(NULL) # }) # output$uploaded <- reactive({ # return(!is.null(getData())) # }) dd <- shiny::reactive({ shiny::req(input$ds) v$file <- "loaded" ds2dd_detailed( data = dat(), add.auto.id = input$add_id == "yes" ) }) output$uploaded <- shiny::reactive({ if (is.null(v$file)) { "no" } else { "yes" } }) shiny::outputOptions(output, "uploaded", suspendWhenHidden = FALSE) output$factor_vars <- shiny::renderUI({ shiny::req(input$ds) selectizeInput( inputId = "factor_vars", selected = colnames(dat())[sapply(dat(), is.factor)], label = "Covariables to format as categorical", choices = colnames(dat()), multiple = TRUE ) }) ## Specify ID if necessary # output$id_var <- shiny::renderUI({ # shiny::req(input$ds) # selectizeInput( # inputId = "id_var", # selected = colnames(dat())[1], # label = "ID variable", # choices = colnames(dat())[-match(colnames(dat()),input$factor_vars)], # multiple = FALSE # ) # }) output$data.tbl <- gt::render_gt( dd() |> cast_data_overview() ) output$meta.tbl <- gt::render_gt( dd() |> cast_meta_overview() ) # Downloadable csv of dataset ---- output$downloadData <- shiny::downloadHandler( filename = "data_ready.csv", content = function(file) { write.csv(purrr::pluck(dd(), "data"), file, row.names = FALSE, na = "") } ) # Downloadable csv of data dictionary ---- output$downloadMeta <- shiny::downloadHandler( filename = paste0("REDCapCAST_DataDictionary_", Sys.Date(), ".csv"), content = function(file) { write.csv(purrr::pluck(dd(), "meta"), file, row.names = FALSE, na = "") } ) # Downloadable .zip of instrument ---- output$downloadInstrument <- shiny::downloadHandler( filename = paste0("REDCapCAST_instrument", Sys.Date(), ".zip"), content = function(file) { export_redcap_instrument(purrr::pluck(dd(), "meta"), file = file, record.id = ifelse(input$add_id == "none", NA, names(dat())[1]) ) } ) output_staging <- shiny::reactiveValues() output_staging$meta <- output_staging$data <- NA shiny::observeEvent(input$upload.meta, { upload_meta() }) shiny::observeEvent(input$upload.data, { upload_data() }) upload_meta <- function() { shiny::req(input$uri) shiny::req(input$api) output_staging$meta <- REDCapR::redcap_metadata_write( ds = purrr::pluck(dd(), "meta"), redcap_uri = input$uri, token = input$api ) |> purrr::pluck("success") } upload_data <- function() { shiny::req(input$uri) shiny::req(input$api) output_staging$data <- REDCapR::redcap_write( ds = purrr::pluck(dd(), "data"), redcap_uri = input$uri, token = input$api ) |> purrr::pluck("success") } output$upload.meta.print <- renderText(output_staging$meta) output$upload.data.print <- renderText(output_staging$data) # session$onSessionEnded(function() { # # cat("Session Ended\n") # unlink("www",recursive = TRUE) # }) }