#' Verify types are correct
#'
#' The necessary types depend on the type, so this will verify types are correct
#' for all types
#'
#' @param entry An entry data.frame
#' @param challenge one of "ilinet" or "state_ili", indicating which
#' challenge the submission is for
#' @return Invisibly returns TRUE if successful
#' @export
#' @keywords internal
#' @seealso \code{\link{verify_entry}}
#' @examples
#' verify_types(full_entry_new)
verify_types <- function(entry, challenge = "ilinet") {
if (!(challenge %in% c("ilinet", "state_ili","hospitalization"))) {
stop("challenge must be one of ilinet, hospital, or state_ili or hospitalization")
}
names(entry) <- tolower(names(entry))
# ILINet challenge
if (challenge == "ilinet") {
valid_types <- unique(cdcForecastUtils::full_entry_new$type)
} else if (challenge == "state_ili") {
valid_types <- unique(cdcForecastUtils::full_entry_state_new$type)
} else if (challenge == "hospitalization"){
valid_types <- unique(cdcForecastUtils::hosp_template$type)
}
entry_types <- unique(entry$type)
missing_types <- setdiff(valid_types, entry_types)
extra_types <- setdiff(entry_types, valid_types)
has_error <- FALSE
if (challenge == "ilinet" | challenge == "state_ili"){
if (length(missing_types)>0) {
warning("Missing these types: ", paste(missing_types, collapse=", "))
has_error <- TRUE
}
} else if(challenge == "hospitalization"){
if (length(missing_types) == 2) {
warning("Missing both point and bin types")
has_error <- TRUE
}
}
if (length(extra_types)>0 && extra_types != "point") {
warning("These extra types are not valid: ", paste(extra_types, collapse=", "))
has_error <- TRUE
}
if (has_error) {
return(invisible(FALSE))
} else {
return(invisible(TRUE))
}
}
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