Java tutorial
/* * Power Service for the GLIMMPSE Software System. Processes * incoming HTTP requests for power, sample size, and detectable * difference * * Copyright (C) 2010 Regents of the University of Colorado. * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation; either version 2 * 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 General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ package edu.cudenver.bios.matrixsvc.resource; import java.io.IOException; import org.apache.commons.math.linear.CholeskyDecompositionImpl; import org.apache.commons.math.linear.NonSquareMatrixException; import org.apache.commons.math.linear.NotPositiveDefiniteMatrixException; import org.apache.commons.math.linear.NotSymmetricMatrixException; import org.restlet.data.Status; import org.restlet.ext.xml.DomRepresentation; import org.restlet.representation.Representation; import org.restlet.resource.Post; import org.restlet.resource.ResourceException; import org.restlet.resource.ServerResource; import edu.cudenver.bios.matrixsvc.application.MatrixLogger; import edu.cudenver.bios.matrixsvc.application.NamedRealMatrix; import edu.cudenver.bios.matrixsvc.representation.CholeskyDecompositionXmlRepresentation; /** * Resource for handling requests for Cholesky Decomposition calculations. * See the MatrixApplication class for URI mappings * * @author Jonathan Cohen */ public class MatrixDecompositionCholeskyResource extends ServerResource { /** * This operation takes a single square matrix (p x p) * and produces two matrices: the matrix representing its * square root (L), and its transpose. Please see * Matrix Services REST API documentation for details on * the entity body format. * * @param entity HTTP entity body for the request * @throws NotPositiveDefiniteMatrixException * @throws NotSymmetricMatrixException * @throws NonSquareMatrixException */ @Post public Representation acceptRepresentation(Representation entity) throws ResourceException, NonSquareMatrixException, NotSymmetricMatrixException, NotPositiveDefiniteMatrixException { if (entity == null) { throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, "No Input- Matrix Decomposition not possible"); } DomRepresentation rep = new DomRepresentation(entity); NamedRealMatrix matrixInput = null; try { // parse the parameters from the entity body matrixInput = MatrixParamParser .getDecompCholeskyParamsFromDomNode(rep.getDocument().getDocumentElement()); if (matrixInput == null || !matrixInput.getName().equalsIgnoreCase("A")) { throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, "Couldn't retrieve the matrix for Cholesky Decomposition."); } // perform Cholesky Decomposition CholeskyDecompositionImpl cdImpl = new CholeskyDecompositionImpl(matrixInput); //create our response representation CholeskyDecompositionXmlRepresentation response = new CholeskyDecompositionXmlRepresentation(cdImpl); /* getResponse().setEntity(response); getResponse().setStatus(Status.SUCCESS_CREATED);*/ return response; } catch (IllegalArgumentException iae) { MatrixLogger.getInstance().error(iae.getMessage()); throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, iae.getMessage()); } catch (IOException ioe) { MatrixLogger.getInstance().error(ioe.getMessage()); throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, ioe.getMessage()); } } }