es.us.isa.sedl.module.statcharts.renderer.HighChartsRenderer.java Source code

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Here is the source code for es.us.isa.sedl.module.statcharts.renderer.HighChartsRenderer.java

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package es.us.isa.sedl.module.statcharts.renderer;

import java.util.UUID;
import org.apache.commons.math3.distribution.NormalDistribution;
import org.stringtemplate.v4.ST;
import org.stringtemplate.v4.STGroup;
import org.stringtemplate.v4.STGroupFile;
import statcharts.es.us.isa.sedl.module.statcharts.BoxPlotResult;
import statcharts.es.us.isa.sedl.module.statcharts.HistogramResult;
import statcharts.es.us.isa.sedl.module.statcharts.PieChartResult;
import statcharts.es.us.isa.sedl.module.statcharts.ScatterPlotResult;
import statcharts.es.us.isa.sedl.module.statcharts.StatisticalChartResult;

/**
 *
 * @author Jose Antonio Parejo
 */
public class HighChartsRenderer extends AbstractChartsRenderer {

    public static final String templateFileName = "templates/HighCharts.stg";

    private STGroup group;

    public HighChartsRenderer() {
        group = new STGroupFile(templateFileName);
        group.registerRenderer(BoxPlotResult.class, new BoxplotOutliersRenderer());
    }

    protected String render(StatisticalChartResult result, String chartType) {
        String identifier = UUID.randomUUID().toString().replace("-", "");
        StringBuilder sb = new StringBuilder("<div id=\"" + identifier + "\"/>\n");
        sb.append("<script type=\"text/javascript\">\n");
        // This line tells Chrome to interpret this dinamically loaded javascrit
        // as a file (useful for debugging).
        sb.append("//@ sourceURL=renderChart" + identifier + ".js \n");
        sb.append(generateDinamicLoadingFunction(identifier));
        sb.append(generateRenderingFunction(result, identifier, chartType));
        sb.append("\nloadHighCharts" + identifier + "();\n");
        sb.append("</script>\n");
        return sb.toString();
    }

    private String generateDinamicLoadingFunction(String identifier) {
        ST st = group.getInstanceOf("dinamicLoadingFunction");
        st.add("identifier", identifier);
        return st.render();
    }

    private String generateRenderingFunction(StatisticalChartResult result, String identifier, String chartType) {
        ST st = group.getInstanceOf(chartType);
        st.add("identifier", identifier);
        if (result instanceof HistogramResult)
            st.add("normal", generateNormalDistribution((HistogramResult) result));
        st.add("result", result);
        return st.render();
    }

    private String[][] generateNormalDistribution(HistogramResult histogramResult) {
        Integer total = 0;
        for (String value : histogramResult.getCounts())
            total += Integer.valueOf(value);
        Double mean = Double.valueOf(histogramResult.getMean());
        Double sigma = Double.valueOf(histogramResult.getSigma());
        NormalDistribution normal = new NormalDistribution(mean, sigma);
        Double[] xPoints = { -3.2807020192309, -3.0425988742109, -2.8044957291909, -2.5663925841709,
                -2.3282894391509, -2.0901862941309, -1.8520831491109, -1.6139800040909, -1.3758768590709,
                -1.1377737140509, -0.89967056903087, -0.66156742401087, -0.42346427899086, -0.18536113397085,
                0.052742011049155, 0.29084515606916, 0.52894830108917, 0.76705144610918, 1.0051545911292,
                1.2432577361492, 1.4813608811692, 1.7194640261892, 1.9575671712092, 2.1956703162292,
                2.4337734612492, 2.6718766062692, 2.9099797512892, 3.1480828963092 };
        String[][] result = new String[xPoints.length][2];
        for (int i = 0; i < xPoints.length; i++) {
            result[i][0] = String.valueOf(mean + xPoints[i] * sigma);
            result[i][1] = String.valueOf(normal.density(mean + xPoints[i] * sigma) * total);
        }
        return result;
    }

}