R/helpers.R

In jmcvw/mrup: Manage Most Recently Used Project List

#' @export
#' @keywords internal
#'
ProjId <- function(path, value = 'proj') {
  switch(value,
         full = sub('^.+/Documents', '~', path),
         proj = sub('\\.Rproj$', '', basename(path)),
  )
}


#' @export
#' @keywords internal
#'
search_proj <- function(search_path) {
  dir(search_path, pattern = '\\.Rproj$',
      full.names = TRUE, recursive = TRUE)
}


#' @export
#' @keywords internal
#'
set_mru_path <- function(user = Sys.info()['user']) {
  mru_paths <- sprintf(mru_path_opts, user)
  mru_paths[which.max(file.mtime(mru_paths))]
}


#' @export
#' @keywords internal
#'
find_roots <- function() {

  dirs <- c(mrup:::root_dirs,
            shinyFiles::getVolumes()())

  dirs <- dirs[dir.exists(dirs)]
  normalizePath(dirs) |>
    stats::setNames(names(dirs))

}


#' Simplify MRU
#'
#' creates mru minus projects that appear on RStudio's drop-down menu could be
#' consolidated better - or even removed
#'
#' @param d Dataframe; Reactive dataframe of all found projects
#' @param mru Character; Reactive vector of mru prjects
#'
#' @return Character vector
#' @export
#' @keywords internal
#'
simplify_mru <- function(d, mru) {
  x <- d()[!d()$project %in% names(mru()[1:10]), ]

  paste0(x[['project']], if (length(x)) {paste(' (', x[['days_since_mod']], ' days)')})
}


#' @export
#' @keywords internal
#'
choose_proj_to_open <- function(d, choice, open_new) {
  choice <- sub('\\s.*$', '', choice)
  choice <- d()[d()$project == choice, 'path']

  rstudioapi::openProject(choice, open_new)
}


#' Compile project data
#'
#' Compile a dataframe of projects contained within the chosen search directory
#'
#' @param search_path Character
#' @param input Character; From \code{`input$old_name`}
#'
#' @return Dataframe
#' @export
#' @keywords internal
#'
compile_proj <- function(search_path, input) {
  proj_list <- data.frame(path = search_proj(search_path),
                          stringsAsFactors = FALSE)

  if (!nrow(proj_list)) return(data.frame())

  proj_list[!proj_list$project %in% input, ]
  proj_list$project <- ProjId(proj_list[[1]], 'proj')

  proj_list$last_modified  <- as.Date(file.info(proj_list[[1]])$mtime)
  proj_list$days_since_mod <- as.integer(Sys.Date() - proj_list$last_modified)
  proj_list$last_modified  <- format(proj_list$last_modified, '%b %Y')

  proj_list <- proj_list[order(proj_list$days_since_mod), ]

  proj_list[c(2:4, 1)]
}


#' @export
#' @keywords internal
#'
remove_proj_from_mru <- function(remove, mru) {
  mru(mru()[!mru() %in% remove])
}


#' @export
#' @keywords internal
#'
add_proj_to_mru <- function(add, mru) {

  temp_mru <- ProjId(add()$path, 'full')
  names(temp_mru) <- ProjId(temp_mru, 'proj')
  mru({ c(temp_mru, mru()) })

}


#' Rename project files
#'
#' Renames both the project directory and .Rproj file, as well as updating.
#'
#' Currently changes project_mru as side effect
#'
#' @param d Dataframe; All projects found in chosen directory
#' @param old_name Character; Name of project to change
#' @param new_name Character
#'
#' @export
#' @keywords internal
#'
rename_proj <- function(d, mru, old_name, new_name) {


  # rename on disk
  on <- d()[d()$project == old_name, 'path']
  nn <- gsub(old_name, new_name, on)

  tryCatch({
    file.rename(on, file.path(dirname(on), basename(nn)))  # rename file
    file.rename(dirname(on), dirname(nn))  # rename dir
    cat('Renaming...\n ', old_name, ' --> ', new_name, '\n')
  },
  warning = \(w) cat(old_name, 'has been renamed', new_name, '.\nRefresh the app to see the changed')
  )

  # Update mru
  temp_mru <- mru()

  # this is maybe a bit slack :/
  # If name is not on temp_mru, w = integer()
  w <- which(names(temp_mru) == old_name)

  if (length(w)){
    temp_mru[w] <- gsub(old_name, new_name, temp_mru[w])

    temp_mru[old_name] <- gsub(old_name, new_name, temp_mru[old_name])

    temp_mru <- ProjId(temp_mru, 'full')
    names(temp_mru) <- ProjId(temp_mru, 'proj')
  }


  mru(temp_mru)
}