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#' Edit a Data Frame.
#'
#' Interactively edit a \code{data.frame} or \code{data.table}. The resulting
#' code will be emitted as a call to reload the data from a temp RDS file.
#'
#' This addin can be used to interactively edit.
#' The intended way to use this is as follows:
#'
#' 1. Highlight a symbol naming a \code{data.frame} or \code{data.table}
#' in your R session, e.g. \code{mtcars}.
#' 2. Execute this addin, to interactively edit it.
#'
#' When you're done, the code performing this operation will be emitted
#' at the cursor position.
#'
#' This function borrows heavily from \href{rstudio/addinexamples/subsetAddin}{https://github.com/rstudio/addinexamples/blob/master/R/subsetAddin.R}
#'
#' @export
editAddin <- function() {
# Get the document context.
context <- rstudioapi::getActiveDocumentContext()
# Set the default data to use based on the selection.
text <- context$selection[[1]]$text
defaultData <- text
# create a temp file
fname = gsub("\\\\", "/", tempfile())
# Generate UI for the gadget.
ui <- miniUI::miniPage(
miniUI::gadgetTitleBar("Edit a data.frame"),
miniUI::miniContentPanel(
stableColumnLayout(
shiny::textInput("data", "Data", value = defaultData),
shiny::radioButtons("outType", "Output type",
choices = c("Update original data" = "update",
"Print updates to script (no update)" = "print")
)
),
shiny::uiOutput("pending"),
rHandsontableOutput("hot")
)
)
# Server code for the gadget.
server <- function(input, output, session) {
values = shiny::reactiveValues()
setHot = function(x) values[["hot"]] = x
reactiveData <- shiny::reactive({
# Collect inputs.
dataString <- input$data
# Check to see if there is data called 'data',
# and access it if possible.
if (!nzchar(dataString))
return(errorMessage("data", "No dataset available."))
if (!exists(dataString, envir = .GlobalEnv))
return(errorMessage("data", paste("No dataset named '", dataString, "' available.")))
data <- get(dataString, envir = .GlobalEnv)
data
})
output$pending <- shiny::renderUI({
data <- reactiveData()
if (isErrorMessage(data))
htmltools::h4(style = "color: #AA7732;", data$message)
})
output$hot <- renderRHandsontable({
data <- reactiveData()
if (isErrorMessage(data))
return(NULL)
if (is.null(input$hot))
DF = data
else
DF = hot_to_r(input$hot)
setHot(DF)
rhandsontable(DF) %>%
hot_table(highlightCol = TRUE, highlightRow = TRUE)
})
# Listen for 'done'.
shiny::observeEvent(input$done, {
if (input$outType == "print") {
rslt <- capture.output(dput(values[["hot"]]))
rstudioapi::insertText(Inf, paste0(input$data, " = ",
paste(rslt, collapse = "\n")))
} else {
if (nzchar(input$data) && !is.null(values[["hot"]])) {
saveRDS(values[["hot"]], fname)
code <- paste(input$data, " = readRDS('", fname, "')", sep = "")
rstudioapi::sendToConsole(code)
}
}
invisible(shiny::stopApp())
})
}
# Use a modal dialog as a viewr.
viewer <- shiny::dialogViewer("Edit", width = 1000, height = 800)
shiny::runGadget(ui, server, viewer = viewer)
}
# these functions come from rstudio/addinexamples
stableColumnLayout <- function(...) {
dots <- list(...)
n <- length(dots)
width <- 12 / n
class <- sprintf("col-xs-%s col-md-%s", width, width)
shiny::fluidRow(
lapply(dots, function(el) {
shiny::div(class = class, el)
})
)
}
isErrorMessage <- function(object) {
inherits(object, "error_message")
}
errorMessage <- function(type, message) {
structure(
list(type = type, message = message),
class = "error_message"
)
}
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