#' @title Wrangle Action
#'
#' @description Wrangle an input action data frame and prepares it for use
#' by the the reporting functions in this package.
#'
#' @export
#' @param db_action data frame; A standard action data frame.
#'
#' @return A formatted data frame suitable for use by the report functions.
#'
#' @examples
#' # Get test data
#' db_action <- rarr::db_action
#'
#' # Wrangle risk
#' action <- wrangle_action(db_action)
#'
#' @importFrom dplyr filter rename_with ends_with rename mutate select relocate
#' arrange distinct desc
#' @importFrom stringr str_to_lower str_to_title str_extract
#' @importFrom magrittr %>%
#' @importFrom rlang .data
#'
wrangle_action <- function(db_action) {
# Check parameters
if(!is.data.frame(db_action)) {stop("db_action must be a data frame")}
# Remove test records
action <- rarr::remove_test_records(db_action, "ACTION_NO")
# Filter for active records
action <- rarr::remove_inactive_records(action, active = TRUE)
action <- action %>%
# Rename date fields
rename_with(.fn = str_to_lower,
.cols = ends_with("_date")) %>%
# Set engagement level integer, risk_cat_code
mutate(eng_level = as.numeric(str_extract(.data$ENG_LEVEL, "\\d")))
# Cleanup action number for sorting
action <- rarr::format_id(action, "ACTION_NO")
# Create hyperlink
action <- rarr::id_link(action, "action_no")
action <- action %>%
# Remove unused fields
select(!c(.data$FK_TABLE_ID)) %>%
# Reorder fields
relocate(.data$start_date, .after = .data$ACTION) %>%
relocate(.data$end_date, .after = .data$start_date) %>%
relocate(.data$poc_review_date, .after = .data$TECHNICAL_POC) %>%
relocate(.data$eng_level, .after = .data$ENG_LEVEL) %>%
# Remove duplicates and sort
distinct(.data$action_no, .keep_all = TRUE) %>%
arrange(.data$action_no)
return(action)
}
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