Reputation: 375
I have a hierarchy tree that I retrieve on the fly (via REST services). I limit the data based on a depth and a limit of data I want. I want to flatten that tree based on the level, so first the children then the grandchildren, etc.
For example:
1
-2
-4
-5
-8
-3
-6
-7
-9
With a depth 100 and limit 100 it should be 2 3 4 5 6 7 8 9
With a depth 1 and limit 100 it should be 2 3
with a depth 2 and limit 5 it should be 2 3 4 5 6
Right now I have a recursive algorithm but it doesn't flatten by level but recursively (2 4 5 8 3 6 7 9).
Here is the actual code:
@GET
@Path("/GetDatas")
public Response getDatas(@QueryParam("clientId") final String clientId,
@QueryParam("maxDepth") final Integer maxDepth,
@QueryParam("limit") final Integer limit) {
Set datas = new LinkedHashSet();
findChildren(clientId, maxDepth, limit, datas, 0);
return Response.status(Response.Status.OK).entity(datas).build();
}
private void findChildren(String clientId, Integer maxDepth, Integer limit, Set datas, Integer actualDepth) {
// here we are getting the data via a REST WS
results = .... (function(clientId))
for (final String result : results) {
if (datas.size() < limit) {
if (!datas.contains(result)) {
datas.add(result);
if (actualDepth < maxDepth) {
findChildren(result, maxDepth, limit, datas, actualDepth + 1);
}
}
}
}
}
I simplified a little bit. In fact, in reality a node will have himself as a grandchild too (the getChildren will retrieve matching datas based on a algorithm, so if 2 is a match for 1, 1 is the match for 2).
The order of the list is also important.
Here is the JDoodle so you can test: jdoodle.com/ia/gFm
Upvotes: 1
Views: 653
Reputation: 18792
The following mre uses BFS to flatten the tree, respecting the limits:
import java.util.*;
public class MyClass {
public static void main(String[] args) {
new DataClass().execute();
}
static class DataClass {
public void execute() {
Map<String, List<String>> tree = new LinkedHashMap();
tree.put("1", Arrays.asList("2", "3"));
tree.put("2", Arrays.asList("4", "5"));
tree.put("3", Arrays.asList("6", "7"));
tree.put("5", Arrays.asList("8"));
tree.put("7", Arrays.asList("9"));
tree.put("4", Arrays.asList());
tree.put("6", Arrays.asList());
tree.put("8", Arrays.asList());
tree.put("9", Arrays.asList());
int maxDepth =100, maxNodes =100;
System.out.println("max depth:"+ maxDepth + " max nodes:"+ maxNodes +" - "+ findChildren(maxDepth, maxNodes, tree));
maxDepth =1; maxNodes =100;
System.out.println("max depth:"+ maxDepth + " max nodes:"+ maxNodes +" - "+ findChildren(maxDepth, maxNodes, tree));
maxDepth =2; maxNodes =5;
System.out.println("max depth:"+ maxDepth + " max nodes:"+ maxNodes +" - "+findChildren(maxDepth, maxNodes, tree));
}
//helper method for bfs
Set<String> findChildren(int maxDepth, int maxNodes, Map<String, List<String>> tree) {
Set<String> flatTree = new LinkedHashSet<>(); //hold and return the flatten tree
final String root = "1";
List<String> nodesAtCurrentDepth = new ArrayList<>();//hold all nodes of the current depth
nodesAtCurrentDepth.add(root);
return findChildren(maxDepth, maxNodes, 0, flatTree, nodesAtCurrentDepth, tree);
}
//flatten tree using bfs
Set<String> findChildren(int maxDepth, int maxNodes, int currentDepth, Set<String> flatTree,
List<String> nodesAtCurrentDepth, Map<String, List<String>> tree) {
if(currentDepth < maxDepth && ! nodesAtCurrentDepth.isEmpty()) {
List<String> nodesAtNextDepth = new ArrayList<>();//collects all next level nodes
//add all next depth nodes to nodesAtNextDepth, respecting maxNodes limit
for(String node : nodesAtCurrentDepth){
for(String childNode : tree.get(node)){
if(flatTree.size() + nodesAtNextDepth.size() >= maxNodes) {
break;
}
nodesAtNextDepth.add(childNode);
}
}
flatTree.addAll(nodesAtNextDepth);
currentDepth++;
nodesAtCurrentDepth = new ArrayList<>(nodesAtNextDepth);
findChildren(maxDepth, maxNodes, currentDepth, flatTree, nodesAtCurrentDepth, tree);
};
return flatTree;
}
}
}
Output:
max depth:100 max nodes:100 - [2, 3, 4, 5, 6, 7, 8, 9]
max depth:1 max nodes:100 - [2, 3]
max depth:2 max nodes:5 - [2, 3, 4, 5, 6]
Upvotes: 1