# Add required fields to the field descriptor for a string column
#
# @param fielddescriptor should be a list.
#
# @return
# Returns \code{fielddescriptor} with the required fields added.
#
complete_fielddescriptor_string <- function(fielddescriptor) {
if (!exists("type", fielddescriptor))
fielddescriptor[["type"]] <- "string"
fielddescriptor
}
#' Convert a vector to 'string' using the specified fielddescriptor
#'
#' @param x the vector to convert.
#' @param fielddescriptor the field descriptor for the field.
#' @param ... passed on to other methods.
#'
#' @details
#' When \code{fielddescriptor} is missing a default field descriptor is
#' generated.
#'
#' @return
#' Will return an \code{character} vector with \code{fielddescriptor} added as
#' the 'fielddescriptor' attribute.
#'
#' @export
dp_to_string <- function(x, fielddescriptor = list(), ...) {
UseMethod("dp_to_string")
}
#' @export
dp_to_string.character <- function(x, fielddescriptor = list(), ...) {
fielddescriptor <- complete_fielddescriptor_string(fielddescriptor)
# Handle missing values
na_values <- if (!is.null(fielddescriptor$missingValues))
fielddescriptor$missingValues else character(0)
x[x %in% na_values] <- NA
structure(x, fielddescriptor = fielddescriptor)
}
# @rdname csv_colclass
# @export
csv_colclass_string <- function(fielddescriptor = list(), ...) {
"character"
}
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