public static DecisionTreeNode <TItem> GenerateTree(IReadOnlyList <TItem> items, IClassifier <TItem> classifier)
{
var itemDescriptors = new List <ItemDescriptor <TItem> >();
for (var i = 0; i < items.Count; i++)
{
itemDescriptors.Add(new ItemDescriptor <TItem>()
{
Criteria = classifier.GetCriteria(items[i]),
Index = i,
Item = items[i],
});
}
var comparer = new DecisionCriterionValueEqualityComparer(classifier.ValueComparer);
return(GenerateNode(
new TreeBuilderContext(),
comparer,
itemDescriptors));
}
private static DecisionTreeNode <TItem> GenerateNode(
TreeBuilderContext context,
DecisionCriterionValueEqualityComparer comparer,
List <ItemDescriptor <TItem> > items)
{
// The extreme use of generics here is intended to reduce the number of intermediate
// allocations of wrapper classes. Performance testing found that building these trees allocates
// significant memory that we can avoid and that it has a real impact on startup.
var criteria = new Dictionary <string, Criterion>(StringComparer.OrdinalIgnoreCase);
// Matches are items that have no remaining criteria - at this point in the tree
// they are considered accepted.
var matches = new List <TItem>();
// For each item in the working set, we want to map it to it's possible criteria-branch
// pairings, then reduce that tree to the minimal set.
foreach (var item in items)
{
var unsatisfiedCriteria = 0;
foreach (var kvp in item.Criteria)
{
// context.CurrentCriteria is the logical 'stack' of criteria that we've already processed
// on this branch of the tree.
if (context.CurrentCriteria.Contains(kvp.Key))
{
continue;
}
unsatisfiedCriteria++;
if (!criteria.TryGetValue(kvp.Key, out var criterion))
{
criterion = new Criterion(comparer);
criteria.Add(kvp.Key, criterion);
}
if (!criterion.TryGetValue(kvp.Value, out var branch))
{
branch = new List <ItemDescriptor <TItem> >();
criterion.Add(kvp.Value, branch);
}
branch.Add(item);
}
// If all of the criteria on item are satisfied by the 'stack' then this item is a match.
if (unsatisfiedCriteria == 0)
{
matches.Add(item.Item);
}
}
// Iterate criteria in order of branchiness to determine which one to explore next. If a criterion
// has no 'new' matches under it then we can just eliminate that part of the tree.
var reducedCriteria = new List <DecisionCriterion <TItem> >();
foreach (var criterion in criteria.OrderByDescending(c => c.Value.Count))
{
var reducedBranches = new Dictionary <object, DecisionTreeNode <TItem> >(comparer.InnerComparer);
foreach (var branch in criterion.Value)
{
bool hasReducedItems = false;
foreach (var item in branch.Value)
{
if (context.MatchedItems.Add(item))
{
hasReducedItems = true;
}
}
if (hasReducedItems)
{
var childContext = new TreeBuilderContext(context);
childContext.CurrentCriteria.Add(criterion.Key);
var newBranch = GenerateNode(childContext, comparer, branch.Value);
reducedBranches.Add(branch.Key.Value, newBranch);
}
}
if (reducedBranches.Count > 0)
{
var newCriterion = new DecisionCriterion <TItem>()
{
Key = criterion.Key,
Branches = reducedBranches,
};
reducedCriteria.Add(newCriterion);
}
}
return(new DecisionTreeNode <TItem>()
{
Criteria = reducedCriteria,
Matches = matches,
});
}
public Criterion(DecisionCriterionValueEqualityComparer comparer)
: base(comparer)
{
}
