/*
* The MIT License
*
* Copyright (c) 2004-2009, Sun Microsystems, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
package hudson.util;
import java.util.AbstractList;
import java.util.ArrayList;
import java.util.List;
/**
* Represents an order-preserving tag cloud (http://en.wikipedia.org/wiki/Tag_cloud)
* where each keyword gets a weight and displayed according to their weight.
*
* TODO: define a view on its own.
*
* @since 1.322
*/
public class TagCloud<T> extends AbstractList<TagCloud<T>.Entry> {
public final class Entry {
//TODO: review and check whether we can do it private
public final T item;
public final float weight;
public Entry(T item, float weight) {
this.item = item;
this.weight = weight;
}
public float scale() {
// TODO: it's not obvious if linear scaling is the right approach or not.
return weight*9/max;
}
public String getClassName() {
return "tag"+((int)scale());
}
public T getItem() {
return item;
}
public float getWeight() {
return weight;
}
}
public interface WeightFunction<T> {
float weight(T item);
}
private final List<Entry> entries = new ArrayList<Entry>();
private float max = 1;
/**
* Creates a tag cloud.
*
* @param f
* Assigns weight to each item.
*/
public TagCloud(Iterable<? extends T> inputs, WeightFunction<T> f) {
for (T input : inputs) {
float w = Math.abs(f.weight(input));
max = Math.max(w,max);
entries.add(new Entry(input, w));
}
}
public Entry get(int index) {
return entries.get(index);
}
public int size() {
return entries.size();
}
}