REDCapCAST/inst/shiny-examples/casting/server.R

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library(bslib)
library(shiny)
library(openxlsx2)
library(haven)
library(readODS)
library(readr)
library(dplyr)
library(here)
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library(devtools)
if (!requireNamespace("REDCapCAST")) {
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devtools::install_github("agdamsbo/REDCapCAST", quiet = TRUE, upgrade = "never")
}
library(REDCapCAST)
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server <- function(input, output, session) {
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v <- shiny::reactiveValues(
file = NULL
)
dat <- shiny::reactive({
shiny::req(input$ds)
out <- read_input(input$ds$datapath)
# Saves labels to reapply later
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# labels <- lapply(out, get_attr)
out <- out |>
## Parses data with readr functions
parse_data() |>
## Converts logical to factor, which overwrites attributes
##
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dplyr::mutate(dplyr::across(dplyr::where(is.logical), as_factor))
if (!is.null(input$factor_vars)) {
out <- out |>
dplyr::mutate(
dplyr::across(
dplyr::all_of(input$factor_vars),
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as_factor
)
)
}
# Old attributes are appended
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# out <- purrr::imap(out,\(.x,.i){
# set_attr(.x,labels[[.i]])
# }) |>
# dplyr::bind_cols()
out
})
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# getData <- reactive({
# if(is.null(input$ds$datapath)) return(NULL)
# })
# output$uploaded <- reactive({
# return(!is.null(getData()))
# })
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dd <- shiny::reactive({
shiny::req(input$ds)
v$file <- "loaded"
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ds2dd_detailed(
data = dat(),
add.auto.id = input$add_id=="yes"
)
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})
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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
)
})
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## 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$factor_vars)],
# multiple = FALSE
# )
# })
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output$data.tbl <- gt::render_gt(
dd() |>
cast_data_overview()
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)
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output$meta.tbl <- gt::render_gt(
dd() |>
cast_meta_overview()
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)
# Downloadable csv of dataset ----
output$downloadData <- shiny::downloadHandler(
filename = "data_ready.csv",
content = function(file) {
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write.csv(purrr::pluck(dd(), "data"), file, row.names = FALSE, na = "")
}
)
# Downloadable csv of data dictionary ----
output$downloadMeta <- shiny::downloadHandler(
filename = paste0("REDCapCAST_DataDictionary_", Sys.Date(), ".csv"),
content = function(file) {
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write.csv(purrr::pluck(dd(), "meta"), file, row.names = FALSE, na = "")
}
)
# Downloadable .zip of instrument ----
output$downloadInstrument <- shiny::downloadHandler(
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filename = paste0("REDCapCAST_instrument", Sys.Date(), ".zip"),
content = function(file) {
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export_redcap_instrument(purrr::pluck(dd(), "meta"),
file = file,
record.id = ifelse(input$add_id=="none",NA,names(dat())[1]))
}
)
output_staging <- shiny::reactiveValues()
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output_staging$meta <- output_staging$data <- NA
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shiny::observeEvent(input$upload.meta, {
upload_meta()
})
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shiny::observeEvent(input$upload.data, {
upload_data()
})
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upload_meta <- function() {
shiny::req(input$uri)
shiny::req(input$api)
output_staging$meta <- REDCapR::redcap_metadata_write(
ds = purrr::pluck(dd(), "meta"),
redcap_uri = input$uri,
token = input$api
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) |> purrr::pluck("success")
}
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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$data)
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# session$onSessionEnded(function() {
# # cat("Session Ended\n")
# unlink("www",recursive = TRUE)
# })
}