#' Merge price indexes
#'
#' @description
#' Combine two price indexes with common time periods, merging together the
#' index values and percent-change contributions for each time period.
#'
#' This is useful for building up an index when different elementary aggregates
#' come from different sources of data, or use different index-number formulas.
#'
#' @name merge.piar_index
#' @aliases merge.piar_index
#' @family index methods
#' @export
#'
#' @param x `[piar_index]` A price index, as made by,
#'   e.g., [elementary_index()].
#' @param y `[piar_index]` A price index, or something that can coerced into
#'   one. If `x`
#'   is a period-over-period index then `y` is coerced into a chainable
#'   index; otherwise, `y` is coerced into a direct index.
#' @param ... Not currently used.
#'
#' @returns
#' A combined price index that inherits from the same class as `x`.
#'
#' @examples
#' index1 <- as_index(matrix(1:6, 2))
#'
#' index2 <- index1
#' levels(index2) <- 3:4
#'
#' merge(index1, index2)
merge.chainable_piar_index <- function(x, y, ...) {
  y <- as_index(y, chainable = TRUE)
  res <- NextMethod("merge")
  new_piar_index(res$index, res$contrib, res$levels, res$time, chainable = TRUE)
}

#' @rdname merge.piar_index
#' @export
merge.direct_piar_index <- function(x, y, ...) {
  y <- as_index(y, chainable = FALSE)
  res <- NextMethod("merge")
  new_piar_index(
    res$index,
    res$contrib,
    res$levels,
    res$time,
    chainable = FALSE
  )
}

#' @export
merge.piar_index <- function(x, y, ...) {
  chkDots(...)
  if (ntime(x) != ntime(y) || any(x$time != y$time)) {
    stop("`x` and `y` must be indexes for the same time periods")
  }
  if (any(x$levels %in% y$levels)) {
    stop("the same levels cannot appear in both `x` and `y`")
  }
  x$index <- rbind(x$index, y$index)
  if (is.null(x$contrib) && !is.null(y$contrib)) {
    x$contrib <- contrib_skeleton(x$levels, x$time)
  } else if (!is.null(x$contrib) && is.null(y$contrib)) {
    y$contrib <- contrib_skeleton(y$levels, y$time)
  }
  if (!is.null(x$contrib)) {
    x$contrib <- rbind(x$contrib, y$contrib)
  }
  x$levels <- c(x$levels, y$levels)
  # Alternatively call validate_piar_index(x), but this is not necessary.
  x
}
