#' Create database
#'
#' Access all of the lab data files contained in the specified directory.
#' Process each of them and place them all into the specified database file
#'
#' @inheritParams prepare_labdat
#' @param path_to_labdat_dir string. Path to the directory that contains all
#' the lab data files to be entered into the database file
#'
#' @return dataframe
#' @export
#'
#' @importFrom purrr map
create_database <- function(path_to_labdat_dir,
path_to_db_file,
path_to_db_dates_file,
path_to_parameters,
file_sheet_year = NULL) {
# Want files that don't start with ~ as these are not useable files
path_to_labdat_files <- list.files(path = path_to_labdat_dir,
full.names = TRUE)
map(path_to_labdat_files,
update_database,
path_to_db_file,
path_to_db_dates_file,
path_to_parameters)
}
#' Update database with data contained in the specified labdat file
#'
#' @inheritParams prepare_labdat
#'
#' @return dataframe containing the processed lab data that has been newly
#' inserted into the database file
#' @export
update_database <- function(path_to_labdat_file,
path_to_db_file,
path_to_db_dates_file,
path_to_parameters,
file_sheet_year = NULL) {
# RShiny converts files into a Temp file so the original filename is lost.
# The app will therefore calculate the year itself, and any user that needs
# to use the script directly (ie filename is not lost) will have the sheet_year
# calculated for them
if (is.na(file_sheet_year) || is.null(file_sheet_year)) {
file_sheet_year <- str_extract(basename(path_to_labdat_file),
"[12][0-9]{3}")
}
prepare_labdat(path_to_labdat_file,
path_to_db_file,
path_to_db_dates_file,
path_to_parameters,
file_sheet_year)
}
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