REDCapCAST/R/shiny_cast.R

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#' Shiny server factory
#'
#' @return shiny server
#' @export
server_factory <- function() {
function(input, output, session) {
require(REDCapCAST)
dat <- shiny::reactive({
shiny::req(input$ds)
read_input(input$ds$datapath)
})
dd <- shiny::reactive({
ds2dd_detailed(data = dat())
})
output$data.tbl <- shiny::renderTable({
dd() |>
purrr::pluck("data") |>
head(20) |>
dplyr::tibble()
})
output$meta.tbl <- shiny::renderTable({
dd() |>
purrr::pluck("meta") |>
dplyr::tibble()
})
# Downloadable csv of dataset ----
output$downloadData <- shiny::downloadHandler(
filename = "data_ready.csv",
content = function(file) {
write.csv(purrr::pluck(dd(), "data"), file, row.names = FALSE)
}
)
# Downloadable csv of data dictionary ----
output$downloadMeta <- shiny::downloadHandler(
filename = "dictionary_ready.csv",
content = function(file) {
write.csv(purrr::pluck(dd(), "meta"), file, row.names = FALSE)
}
)
output$upload.data.print <- shiny::renderPrint({
shiny::eventReactive(input$upload.meta, {
shiny::req(input$uri)
shiny::req(input$api)
REDCapR::redcap_metadata_write(
ds = purrr::pluck(dd(), "meta"),
redcap_uri = input$uri,
token = input$api
)
})
})
output$upload.data.print <- shiny::renderPrint({
shiny::eventReactive(input$upload.data, {
shiny::req(input$uri)
shiny::req(input$api)
REDCapR::redcap_write(
ds = purrr::pluck(dd(), "data"),
redcap_uri = input$uri,
token = input$api
)
})
})
}
}
#' UI factory for shiny app
#'
#' @return shiny ui
#' @export
ui_factory <- function() {
# require(ggplot2)
shiny::fluidPage(
## -----------------------------------------------------------------------------
## Application title
## -----------------------------------------------------------------------------
shiny::titlePanel("Simple REDCap data base creation and data upload from data set file via API",
windowTitle = "REDCap databse creator"
),
shiny::h5("Please note, that this tool serves as a demonstration of some of the functionality
of the REDCapCAST package. No responsibility for data loss or any other
problems will be taken."),
## -----------------------------------------------------------------------------
## Side panel
## -----------------------------------------------------------------------------
shiny::sidebarPanel(
shiny::h4("REDCap database and dataset"),
shiny::fileInput("ds", "Choose data file",
multiple = FALSE,
accept = c(
".csv",
".xls",
".xlsx",
".dta"
)
),
shiny::h6("Below you can download the dataset formatted for upload and the
corresponding data dictionary for a new data base."),
# Button
shiny::downloadButton("downloadData", "Download data"),
# Button
shiny::downloadButton("downloadMeta", "Download dictionary"),
# Horizontal line ----
shiny::tags$hr(),
shiny::h4("REDCap upload"),
shiny::textInput(
inputId = "uri",
label = "URI",
value = ""
),
shiny::textInput(
inputId = "api",
label = "API key",
value = ""
),
shiny::actionButton(
inputId = "upload.meta",
label = "Upload dictionary", icon = icon("book-bookmark")
),
shiny::h6("Please note, that before uploading any real data, put your project
into production mode."),
shiny::actionButton(
inputId = "upload.datata",
label = "Upload data", icon = icon("upload")
),
# Horizontal line ----
shiny::tags$hr()
),
shiny::mainPanel(
shiny::tabsetPanel(
## -----------------------------------------------------------------------------
## Summary tab
## -----------------------------------------------------------------------------
shiny::tabPanel(
"Summary",
shiny::h3("Data overview (first 20)"),
shiny::htmlOutput("data.tbl", container = span),
shiny::h3("Dictionary overview"),
shiny::htmlOutput("meta.tbl", container = span)
)
)
)
)
}
#' Launch the included Shiny-app for database casting and upload
#'
#' @return shiny app
#' @export
#'
#' @examples
#' # shiny_cast()
#'
shiny_cast <- function() {
# shiny::runApp(appDir = here::here("app/"), launch.browser = TRUE)
shiny::shinyApp(
ui_factory(),
server_factory()
)
}