#' Read in Harvest Survey data
#'
#' The \code{read_dhs} function reads in daily, season, and reference Harvest Survey .csv data files from a specified filepath. It will automatically read in all files by default unless a year is specified.
#'
#' @importFrom purrr map
#' @importFrom readr read_csv
#' @importFrom dplyr group_by
#' @importFrom purrr set_names
#' @importFrom stringr str_detect
#' @importFrom stringr str_extract
#' @importFrom stringr str_subset
#'
#' @param path Directory containing the Harvest Survey daily, season, and/or reference data files
#' @param year Season for which files should be read in
#' @export
#' @author Abby Walter, \email{abby_walter@@fws.gov}
#' @references \url{https://github.com/USFWS/migbirdHS}
read_dhs <-
function(path, year){
# Add a final "/" to path, if not included already
if(!str_detect(path, "\\/$")){
path <- paste0(path, "/")
}else{
path <- path
}
if(year %in% as.character(2019:2100)){
list.files(path) |>
str_subset(year) |>
map(~read_csv(paste0(path, .))) |>
set_names(
str_extract(
list.files(path),
"daily_records|season_totals|all_seasons")
) |>
list2env(.GlobalEnv)
}
else{
message(
paste0(
"Error: Invalid year. Please specify a character year between 2019 a",
"nd 2100.")
)
}
}
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