/*
 *  RapidMiner
 *
 *  Copyright (C) 2001-2011 by Rapid-I and the contributors
 *
 *  Complete list of developers available at our web site:
 *
 *       http://rapid-i.com
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Affero General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU Affero General Public License for more details.
 *
 *  You should have received a copy of the GNU Affero General Public License
 *  along with this program.  If not, see http://www.gnu.org/licenses/.
 */
package com.rapidminer.gui.renderer.similarity;

import java.awt.Component;
import java.util.Random;

import com.rapidminer.datatable.DataTable;
import com.rapidminer.datatable.SimpleDataTable;
import com.rapidminer.datatable.SimpleDataTableRow;
import com.rapidminer.example.Example;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.gui.plotter.Plotter;
import com.rapidminer.gui.plotter.PlotterConfigurationModel;
import com.rapidminer.gui.plotter.charts.HistogramChart;
import com.rapidminer.gui.renderer.AbstractRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.similarity.SimilarityMeasureObject;
import com.rapidminer.report.Reportable;
import com.rapidminer.tools.math.similarity.DistanceMeasure;

/**
 * A renderer for the histogram view of a similarity measure.
 * 
 * @author Ingo Mierswa
 */
public class SimilarityHistogramRenderer extends AbstractRenderer {

	public String getName() {
		return "Histogram";
	}

	private Plotter createHistogramPlotter(SimilarityMeasureObject sim, ExampleSet exampleSet) {
		DistanceMeasure measure = sim.getDistanceMeasure();
		DataTable dataTable = new SimpleDataTable("Histogram", new String[] { "Histogram" });
		double sampleRatio = Math.min(1.0d, 500.0d / exampleSet.size());

		Random random = new Random();
		int i = 0;
		for (Example example : exampleSet) {
			int j = 0;
			for (Example comExample : exampleSet) {
				if (j != i && random.nextDouble() < sampleRatio) {
					double simValue;
					if (measure.isDistance())
						simValue = measure.calculateDistance(example, comExample);
					else
						simValue = measure.calculateSimilarity(example, comExample);
					dataTable.add(new SimpleDataTableRow(new double[] { simValue }));
				}
				j++;
			}
			i++;
		}
		PlotterConfigurationModel settings = new PlotterConfigurationModel(PlotterConfigurationModel.HISTOGRAM_PLOT, dataTable);
		
		settings.enablePlotColumn(0);
		settings.setParameterAsInt(HistogramChart.PARAMETER_NUMBER_OF_BINS, 100);

		return settings.getPlotter();
	}

	public Reportable createReportable(Object renderable, IOContainer ioContainer, int width, int height) {

		SimilarityMeasureObject sim = (SimilarityMeasureObject) renderable;
		Plotter plotter = createHistogramPlotter(sim, sim.getExampleSet());
		plotter.getRenderComponent().setSize(width, height);
		return plotter;

	}

	public Component getVisualizationComponent(Object renderable, IOContainer ioContainer) {

		SimilarityMeasureObject sim = (SimilarityMeasureObject) renderable;
		Plotter plotter = createHistogramPlotter(sim, sim.getExampleSet());
		return plotter.getPlotter();

	}
}