mirror of
https://github.com/agdamsbo/REDCapCAST.git
synced 2024-11-25 06:21:53 +01:00
184 lines
4.7 KiB
R
184 lines
4.7 KiB
R
#' Shiny server factory
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#'
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#' @return shiny server
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#' @export
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server_factory <- function() {
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function(input, output, session) {
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require(REDCapCAST)
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dat <- shiny::reactive({
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shiny::req(input$ds)
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read_input(input$ds$datapath)
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})
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dd <- shiny::reactive({
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ds2dd_detailed(data = dat())
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})
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output$data.tbl <- shiny::renderTable({
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dd() |>
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purrr::pluck("data") |>
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head(20) |>
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dplyr::tibble()
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})
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output$meta.tbl <- shiny::renderTable({
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dd() |>
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purrr::pluck("meta") |>
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dplyr::tibble()
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})
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# Downloadable csv of dataset ----
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output$downloadData <- shiny::downloadHandler(
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filename = "data_ready.csv",
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content = function(file) {
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write.csv(purrr::pluck(dd(), "data"), file, row.names = FALSE)
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}
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)
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# Downloadable csv of data dictionary ----
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output$downloadMeta <- shiny::downloadHandler(
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filename = "dictionary_ready.csv",
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content = function(file) {
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write.csv(purrr::pluck(dd(), "meta"), file, row.names = FALSE)
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}
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)
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output$upload.data.print <- shiny::renderPrint({
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shiny::eventReactive(input$upload.meta, {
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shiny::req(input$uri)
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shiny::req(input$api)
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REDCapR::redcap_metadata_write(
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ds = purrr::pluck(dd(), "meta"),
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redcap_uri = input$uri,
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token = input$api
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)
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})
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})
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output$upload.data.print <- shiny::renderPrint({
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shiny::eventReactive(input$upload.data, {
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shiny::req(input$uri)
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shiny::req(input$api)
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REDCapR::redcap_write(
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ds = purrr::pluck(dd(), "data"),
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redcap_uri = input$uri,
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token = input$api
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)
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})
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})
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}
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}
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#' UI factory for shiny app
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#'
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#' @return shiny ui
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#' @export
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ui_factory <- function() {
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# require(ggplot2)
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shiny::fluidPage(
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## -----------------------------------------------------------------------------
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## Application title
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## -----------------------------------------------------------------------------
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shiny::titlePanel("Simple REDCap data base creation and data upload from data set file via API",
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windowTitle = "REDCap databse creator"
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),
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shiny::h5("Please note, that this tool serves as a demonstration of some of the functionality
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of the REDCapCAST package. No responsibility for data loss or any other
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problems will be taken."),
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## -----------------------------------------------------------------------------
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## Side panel
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## -----------------------------------------------------------------------------
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shiny::sidebarPanel(
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shiny::h4("REDCap database and dataset"),
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shiny::fileInput("ds", "Choose data file",
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multiple = FALSE,
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accept = c(
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".csv",
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".xls",
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".xlsx",
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".dta"
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)
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),
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shiny::h6("Below you can download the dataset formatted for upload and the
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corresponding data dictionary for a new data base."),
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# Button
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shiny::downloadButton("downloadData", "Download data"),
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# Button
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shiny::downloadButton("downloadMeta", "Download dictionary"),
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# Horizontal line ----
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shiny::tags$hr(),
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shiny::h4("REDCap upload"),
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shiny::textInput(
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inputId = "uri",
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label = "URI",
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value = ""
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),
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shiny::textInput(
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inputId = "api",
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label = "API key",
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value = ""
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),
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shiny::actionButton(
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inputId = "upload.meta",
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label = "Upload dictionary", icon = icon("book-bookmark")
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),
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shiny::h6("Please note, that before uploading any real data, put your project
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into production mode."),
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shiny::actionButton(
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inputId = "upload.datata",
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label = "Upload data", icon = icon("upload")
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),
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# Horizontal line ----
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shiny::tags$hr()
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),
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shiny::mainPanel(
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shiny::tabsetPanel(
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## -----------------------------------------------------------------------------
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## Summary tab
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## -----------------------------------------------------------------------------
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shiny::tabPanel(
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"Summary",
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shiny::h3("Data overview (first 20)"),
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shiny::htmlOutput("data.tbl", container = span),
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shiny::h3("Dictionary overview"),
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shiny::htmlOutput("meta.tbl", container = span)
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)
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)
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)
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)
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}
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#' Launch the included Shiny-app for database casting and upload
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#'
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#' @return shiny app
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#' @export
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#'
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#' @examples
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#' # shiny_cast()
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#'
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shiny_cast <- function() {
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# shiny::runApp(appDir = here::here("app/"), launch.browser = TRUE)
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shiny::shinyApp(
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ui_factory(),
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server_factory()
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)
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}
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