feat: introduce identity-backed goat

world/active_world_adapter.gd

@@ -59,6 +59,41 @@ func get_resource_index_stats() -> Dictionary:
 	return _resource_index.get_stats()
 
 
+func get_animal_candidates(action_id: StringName) -> Array[Dictionary]:
+	var candidates: Array[Dictionary] = []
+	for node in AnimalNode.get_all():
+		if not node.supports_action(action_id):
+			continue
+		(
+			candidates
+			. append(
+				{
+					"target_id": String(node.animal_id),
+					"position": node.get_interaction_position(),
+					"display_name": node.display_name,
+				}
+			)
+		)
+	return candidates
+
+
+func get_animal_nodes_in_radius(origin: Vector3, max_distance: float) -> Array[AnimalNode]:
+	var nodes: Array[AnimalNode] = []
+	var maximum_distance_squared := maxf(max_distance, 0.0) * maxf(max_distance, 0.0)
+	for node in AnimalNode.get_all():
+		if origin.distance_squared_to(node.get_interaction_position()) <= maximum_distance_squared:
+			nodes.append(node)
+	nodes.sort_custom(
+		func(first: AnimalNode, second: AnimalNode) -> bool:
+			var first_distance := origin.distance_squared_to(first.get_interaction_position())
+			var second_distance := origin.distance_squared_to(second.get_interaction_position())
+			if not is_equal_approx(first_distance, second_distance):
+				return first_distance < second_distance
+			return String(first.animal_id) < String(second.animal_id)
+	)
+	return nodes
+
+
 func get_activity_target(action_id: StringName, origin: Vector3 = Vector3.ZERO) -> Dictionary:
 	var best_candidate: Dictionary = {}
 	var best_distance := INF