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#' Post processing function for ADFACE dataset
#'
#' @description This is used to do post processing for ADaM reactogenicity dataset, for the derived
#' SDTM level records, the corresponding values in FA variables will be `NA`.
#'
#' @param dataset Input dataset
#' @param filter_dataset Filter condition
#' Conversion of records in FA variables to NA depends on this condition.
#'
#' @return The input dataframe with `NA` values in FA variables where the SDTM records modified for
#' ADaM derivation purpose.
#' @export
#'
#' @author Arjun Rubalingam
#'
#' @examples
#' library(dplyr)
#' library(admiral)
#' library(tibble)
#'
#' input <- tribble(
#' ~USUBJID, ~FAOBJ, ~FALAT, ~FACAT, ~FASCAT, ~FATPT, ~FATESTCD, ~PARAMCD, ~AVAL,
#' "ABC-1001", "FEVER", NA, "REACTO", "SYS", "DAY 1", "MAXTEMP", "MAXTEMP", 39.4,
#' "ABC-1001", "VOMITING", NA, "REACTO", "SYS", "DAY 4", "MAXSEV", "MAXVOMIT", 3,
#' "ABC-1001", "SWELLING", "LEFT", "REACTO", "ADMIN", "DAY 1", "MAXSEV", "MAXSWEL", 3,
#' "ABC-1001", "REDNESS", "LEFT", "REACTO", "ADMIN", "DAY 2", "DIAMATER", "DIARE", 10.3,
#' "ABC-1001", "FEVER", "LEFT", "REACTO", "SYS", "DAY 2", "OCCUR", "OCCFEV", NA
#' )
#'
#' post_process_reacto(
#' dataset = input,
#' filter_dataset = FATESTCD %in% c("MAXSEV", "MAXTEMP") |
#' (FATESTCD == "OCCUR" & FAOBJ == "FEVER")
#' )
#'
#' @keywords other_advanced
#' @family other_advanced
#'
post_process_reacto <- function(dataset,
filter_dataset = FATESTCD %in% c("MAXDIAM", "MAXSEV", "MAXTEMP") |
(FATESTCD == "OCCUR" & FAOBJ == "FEVER")) {
assert_data_frame(dataset, required_vars = exprs(USUBJID, FATESTCD, FAOBJ))
filter_dataset <- assert_filter_cond(enexpr(filter_dataset))
# creating a vector of FA variables.
favars <- names(dataset %>% select(starts_with("FA"), FATESTCD))
dataset %>% mutate(across(
all_of(favars),
function(x) ifelse(!!filter_dataset, NA, x)
))
}
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