#' Load Temperature Data From CSV
#'
#' @param path path to csv file with temperature data and columns: "date" (YYYY-MM-DD) and "value"
#' @return tibble with temperature data and columns "date" and "value"
#' @export
#' @importFrom readr read_csv
#' @importFrom kwb.utils asNoFactorDataFrame safePath
#' @importFrom stringr str_split_fixed
#' @examples
#' path <- kwb.heatsine::extdata_file("temperature_groundwater_Txxxx3.csv")
#' gw_data <- kwb.heatsine::load_temperature_from_csv(path)
#' gw_data
#'
load_temperature_from_csv <- function(path)
{
path <- kwb.utils::safePath(path)
filename <- basename(path)
metadata <- kwb.utils::asNoFactorDataFrame(
stringr::str_split_fixed(kwb.utils::removeExtension(filename), "_", n = 3)
)
names(metadata) <- c("general", "type", "monitoring_id")
stopifnot(metadata$type %in% c("groundwater", "surface-water"))
structure(
readr::read_csv(file = path, col_types = "Dd"),
filename = filename,
type = metadata$type,
monitoring_id = metadata$monitoring_id,
label = ifelse(
nzchar(metadata$monitoring_id),
sprintf("%s (%s)", metadata$type, metadata$monitoring_id),
metadata$type
)
)
}
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