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#' Get formats for `DQ` categories
#'
#' @family summary_functions
#' @keywords internal
#'
#' @return [data.frame] columns: `categories` (e.g., "1" to "5"),
#' `color` (e.g., "33 102 172", "67 147 195", "227 186 20", "214 96 77",
#' 178 23 43"), `label` (e.g., "OK", "unclear", "moderate", "important",
#' "critical" )
util_get_ruleset_formats <- function() {
rs <- util_get_rule_sets()
max_cats <- suppressWarnings(
vapply(lapply(lapply(rs, `[[`, "dqi_catnum"), as.integer), max,
na.rm = TRUE, FUN.VALUE = integer(1)))
shipped_ruleset_formats <-
prep_get_data_frame(system.file("grading_formats.xlsx",
package = "dataquieR"))
reftab <- try(
prep_get_data_frame(getOption("dataquieR.grading_formats", dataquieR.grading_formats_default)),
silent = TRUE
) # https://gitlab.com/libreumg/dataquier/-/issues/34#note_1597720844
if (!inherits(reftab, "data.frame")) {
if (getOption("dataquieR.grading_formats", dataquieR.grading_formats_default) != dataquieR.grading_formats_default) {
util_message("Could not find ruleset formats %s, using the default formats.",
dQuote(getOption("dataquieR.grading_formats",
dataquieR.grading_formats_default)),
applicability_problem = TRUE,
intrinsic_applicability_problem = FALSE)
}
reftab <- shipped_ruleset_formats
}
util_expect_data_frame(reftab, col_names = c("category", "label", "color"))
need <- seq_len(max_cats)
have <- unique(reftab$category)
if (!all(need %in% have)) {
util_error(
applicability_problem = TRUE,
intrinsic_applicability_problem = FALSE,
c("Did not find formats for all categories, need %s, found %s.",
"%s may not match %s or one of these is not available."
),
util_pretty_vector_string(need),
util_pretty_vector_string(have),
dQuote(getOption("dataquieR.grading_formats",
dataquieR.grading_formats_default)),
dQuote(getOption("dataquieR.grading_rulesets",
dataquieR.grading_rulesets_default))
)
}
reftab <- reftab[!util_empty(reftab$category), , FALSE]
reftab[["category"]] <-
suppressWarnings(as.integer(reftab[["category"]]))
reftab
}
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