#' @title Create Empty Data Tables
#'
#' @description Create a empty tibble with the same column names and
#' column types as from a typical survey of the specified type.
#'
#' @author Kevin See
#'
#' @inheritParams get_otg_col_specs
#'
#' @import dplyr
#' @importFrom readr type_convert
#' @importFrom tibble add_column
#' @return an empty tibble
create_empty_tbl = function(otg_type = c("surveyPoint_0.csv",
"CU_1.csv",
"Wood_2.csv",
"Jam_3.csv",
"Undercut_4.csv",
"Discharge_5.csv",
"DischargeMeasurements_6.csv")) {
otg_type = match.arg(otg_type)
otg_col_specs = DASH::get_otg_col_specs(otg_type)
empty_df = matrix(NA,
nrow = 1,
ncol = length(otg_col_specs$cols),
dimnames = list(NA,
names(otg_col_specs$cols))) %>%
as_tibble() %>%
mutate(across(everything(),
as.character)) %>%
readr::type_convert(col_types = otg_col_specs) %>%
tibble::add_column(path_nm = NA_character_,
.before = 0)
return(empty_df)
}
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