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#' Get the last set of nodes created in a graph
#'
#' @description
#'
#' Get the last nodes that were created in a graph object of class `dgr_graph`.
#' Provides a vector of node ID values. This function should ideally be used
#' just after creating the nodes.
#'
#' @inheritParams render_graph
#'
#' @return A vector of node ID values.
#'
#' @examples
#' # Create a graph and add 4 nodes
#' # in 2 separate function calls
#' graph <-
#' create_graph() %>%
#' add_n_nodes(
#' n = 2,
#' type = "a",
#' label = c("a_1", "a_2")) %>%
#' add_n_nodes(
#' n = 2,
#' type = "b",
#' label = c("b_1", "b_2"))
#'
#' # Get the last nodes created (2 nodes
#' # from the last function call)
#' graph %>% get_last_nodes_created()
#'
#' @export
get_last_nodes_created <- function(graph) {
# Validation: Graph object is valid
check_graph_valid(graph)
# Validation: Graph contains nodes
check_graph_contains_nodes(graph)
graph_transform_steps <-
graph$graph_log %>%
dplyr::mutate(
step_created_nodes = as.integer(function_used %in% node_creation_functions()),
step_deleted_nodes = as.integer(function_used %in% node_deletion_functions()),
step_init_with_nodes = as.integer(function_used %in% graph_init_functions() &
nodes > 0)
) %>%
dplyr::filter(
# if any step is TRUE (1)
dplyr::if_any(
.cols = c(step_created_nodes, step_deleted_nodes, step_init_with_nodes),
.fns = function(x) x == 1
)
) %>%
dplyr::select(-"version_id", -"time_modified", -"duration")
if (nrow(graph_transform_steps) > 0) {
if (graph_transform_steps %>%
utils::tail(1) %>%
dplyr::pull(step_deleted_nodes) == 1) {
cli::cli_abort(
"The previous graph transformation function resulted in a removal of nodes.")
} else {
if (nrow(graph_transform_steps) > 1) {
number_of_nodes_created <-
(graph_transform_steps %>%
dplyr::select(nodes) %>%
utils::tail(2) %>%
dplyr::pull(nodes))[2] -
(graph_transform_steps %>%
dplyr::select(nodes) %>%
utils::tail(2) %>%
dplyr::pull(nodes))[1]
} else {
number_of_nodes_created <-
graph_transform_steps %>%
dplyr::pull("nodes")
}
}
node_id_values <-
graph$nodes_df %>%
dplyr::select("id") %>%
utils::tail(number_of_nodes_created) %>%
dplyr::pull("id")
} else {
node_id_values <- NA
}
node_id_values
}
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