#' Load a Data File Using the Directory, Date, and Extension
#'
#' \code{load_data} is meant to find and load a delimited or Excel data file
#' given the directory that it's in, the date used in the file name, and the
#' file extension. It is essentially a wrapper around \code{\link{find_file}}
#' and \code{\link{read_file}}.
#'
#' @param date The `Date` to look for in the file name
#'
#' @param directory The directory to search in using \code{\link{find_file}}
#'
#' @param file_name Optionally, the name of the file to load; this is useful
#' if searching for non-standard files
#'
#' @param ext The extension of the file to load
#'
#' @param pattern A regular expression combining `directory`, `date`, `ext`, and
#' (possibly) other pieces of the file to load
#'
#' @return A \code{\link[tibble]{tibble}} containing the loaded data
#'
#' @export
load_data <- function(
date = NULL,
directory,
file_name = NULL,
ext = c("csv", "xlsx"),
pattern = paste0(".*", date, ".*", ext[[1]])
) {
# We want to remind the user what date is being used
if (!is.null(date)) {
message(paste0("\nDate used: ", date, "\n"))
}
assert(
!(rlang::is_empty(date) & rlang::is_empty(file_name)),
message = "Either `date` or `file_name` must be supplied"
)
# We're ready to find and read the NBS data
find_file(
date = date,
directory = directory,
pattern = pattern,
file_name = file_name
) %>%
read_file()
}
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