Reputation: 25291
I have a list of items in a hierarchy, and I'm attempting to parse this list out into an actual hierarchy of objects. I'm using modified pre-order tree traversal to store/iterate through this list, and so what I have is a subset of the tree, including all children, ordered by their "left" value.
For example, given the tree:
I get the list:
(This is in order of the "left" value from the modified pre-order tree setup).
What I want to do is parse this into objects that contain the actual structure of the tree, eg:
Class TreeObject {
String Name;
Guid ID;
Guid ParentID;
List<TreeObject> Children;
}
The flat list is returned as a List of TreeObjects - and each TreeObject has properties for ID, ParentID, Left, and Right. What I'm looking for is a function:
List<TreeObject> FlatToHeirarchy(List<TreeObject> list);
which takes the flat list in, and returns a nested list.
In other words:
List<TreeObject> flatSet = LoadTreeObjectsFromDatabase();
// flatSet.count == 7; flatSet(0).Children == null
List<TreeObject> nestedSet = FlatToHeirarchy(flatSet);
// nestedSet.count == 3; nestedSet(0).Children.count == 2
I'm at a loss how to do this - keeping track of parents, and being able to deal with a bigger jump (eg, Item A.2.2 -> Item B).
Edit: I'm looking for a non-brute-force solution here (eg, not looping several times, moving items into child nodes, until there are only the top-level parents left). I'm guessing there is an elegant method that can loop once, and just place items as needed.
Remember, they are always in a hierarchal order (since I'm using MPTT), so a given item is going to always be a child or sibling of the previous item, or at least share a parent with the previous item. It is never going to come somewhere else in the tree.
Upvotes: 23
Views: 23751
Reputation: 612
you should use a database store architecture like nested set
[ https://en.wikipedia.org/wiki/Nested_set_model ]
Upvotes: 2
Reputation: 25291
Here's the function I ended up writing. I'm using MPTT to store objects, so the list is in order of the 'left' value, which basically means the parent always comes before any given item in the list. In other words, the item referenced by item.ParentID has always already been added (except in the case of top-level or root nodes).
public class TreeObject
{
public int Id { get; set; }
public int ParentId { get; set; }
public string Name { get; set; }
public IList<TreeObject> Children { get; set; } = new List<TreeObject>();
}
public IEnumerable<TreeObject> FlatToHierarchy(List<TreeObject> list)
{
// hashtable lookup that allows us to grab references to containers based on id
var lookup = new Dictionary<int, TreeObject>();
// actual nested collection to return
var nested = new List<TreeObject>();
foreach (TreeObject item in list)
{
if (lookup.ContainsKey(item.ParentId))
{
// add to the parent's child list
lookup[item.ParentId].Children.Add(item);
}
else
{
// no parent added yet (or this is the first time)
nested.Add(item);
}
lookup.Add(item.Id, item);
}
return nested;
}
and a simple test (that works in LinqPad):
void Main()
{
var list = new List<TreeObject>() {
new TreeObject() { Id = 1, ParentId = 0, Name = "A" },
new TreeObject() { Id = 2, ParentId = 1, Name = "A.1" },
new TreeObject() { Id = 3, ParentId = 1, Name = "A.2" },
new TreeObject() { Id = 4, ParentId = 3, Name = "A.2.i" },
new TreeObject() { Id = 5, ParentId = 3, Name = "A.2.ii" }
};
FlatToHierarchy(list).Dump();
}
Results:
Since I'm updating this 5 years later, here's a recursive LINQ version:
public IList<TreeObject> FlatToHierarchy(IEnumerable<TreeObject> list, int parentId = 0) {
return (from i in list
where i.ParentId == parentId
select new TreeObject {
Id = i.Id,
ParentId = i.ParentId,
Name = i.Name,
Children = FlatToHierarchy(list, i.Id)
}).ToList();
}
Upvotes: 38
Reputation: 91
Correcting the example given by gregmac
IList<TreeObject> FlatToHierarchy(IQueryable<lcc_classe> list, int? parentId)
{
var q = (from i in list
where i.parent_id == parentId
select new
{
id = i.id,
parent_id = i.parent_id,
kks = i.kks,
nome = i.nome
}).ToList();
return q.Select(x => new TreeObject
{
children = FlatToHierarchy(list, x.id)
}).ToList();
}
Upvotes: 0
Reputation: 4594
Alternative version that compiles normally, I wasn't sure if there was a problem with the code above.
private List<Page> FlatToHierarchy(List<Page> list) {
// hashtable lookup that allows us to grab references to the parent containers, based on id
Dictionary<int, Page> lookup = new Dictionary<int, Page>();
// actual nested collection to return
List<Page> nested = new List<Page>();
foreach(Page item in list) {
if (lookup.ContainsKey(item.parentId)) {
// add to the parent's child list
lookup[item.parentId].children.Add(item); //add item to parent's childs list
lookup.Add(item.pageId, item); //add reference to page in lookup table
} else {
// no parent added yet (or this is the first time)
nested.Add(item); //add item directly to nested list
lookup.Add(item.pageId, item); //add reference to page in lookup table
}
}
return nested;
}
Upvotes: 1
Reputation: 28606
I assume you already know the parent of all items.
All you need to do is to iterate through all item of the list once and add the current item to its parent's children list. Only keep the items without parents in the target nested list.
Here is some pseudo code:
foreach Item item in flatlist
if item.Parent != null
Add item to item.Parent.ChildrenList
Remove item from flatlist
end if
end for
As for getting the parents, from what I can see in your example, you might need to parse the name and build a stack as you advance in the list.
This problems looks hard but it really isn't. A lot of people see this problem from the wrong angle; you must not try to populate every children list but rather get rid of the children items from the flat list, then it becomes easy.
Upvotes: 3
Reputation: 9298
Here is an example, hope this helps
class Program
{
static void Main(string[] args)
{
TreeObject a = new TreeObject() { Name = "Item A" };
a.Children.Add( new TreeObject() { Name = "Item A.1" });
a.Children.Add( new TreeObject() { Name = "Item A.2" });
TreeObject b = new TreeObject() { Name = "Item B" };
b.Children.Add(new TreeObject() { Name = "Item B.1" });
b.Children.Add(new TreeObject() { Name = "Item B.2" });
TreeObject c = new TreeObject() { Name = "Item C" };
List<TreeObject> nodes = new List<TreeObject>(new[] { a, b, c });
string list = BuildList(nodes);
Console.WriteLine(list); // Item A,Item A.1,Item A.2,Item B,Item B.1,Item B.2,Item C
List<TreeObject> newlist = new List<TreeObject>();
TreeObject temp = null;
foreach (string s in list.Split(','))
{
if (temp == null || !s.Contains(temp.Name) || temp.Name.Length != s.Length)
{
temp = new TreeObject() { Name = s };
newlist.Add(temp);
}
else
{
temp.Children.Add(new TreeObject() { Name = s });
}
}
Console.WriteLine(BuildList(newlist)); // Item A,Item A.1,Item A.2,Item B,Item B.1,Item B.2,Item C
}
static string BuildList(List<TreeObject> nodes)
{
StringBuilder output = new StringBuilder();
BuildList(output, nodes);
return output.Remove(output.Length - 1, 1).ToString();
}
static void BuildList(StringBuilder output, List<TreeObject> nodes)
{
foreach (var node in nodes)
{
output.AppendFormat("{0},", node.Name);
BuildList(output, node.Children);
}
}
}
public class TreeObject
{
private List<TreeObject> _children = new List<TreeObject>();
public string Name { get; set; }
public Guid Id { get; set; }
public List<TreeObject> Children { get { return _children; } }
}
}
Upvotes: 0