org.grouplens.lenskit.test.ML100KTestSuite Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of lenskit-integration-tests Show documentation
Show all versions of lenskit-integration-tests Show documentation
End-to-end integration tests for the core LensKit code.
/*
* LensKit, an open source recommender systems toolkit.
* Copyright 2010-2013 Regents of the University of Minnesota and contributors
* Work on LensKit has been funded by the National Science Foundation under
* grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2.1 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 org.grouplens.lenskit.test;
import org.grouplens.lenskit.cursors.Cursors;
import org.grouplens.lenskit.data.event.Event;
import org.grouplens.lenskit.data.dao.EventCollectionDAO;
import org.grouplens.lenskit.data.dao.EventDAO;
import org.grouplens.lenskit.data.dao.SimpleFileRatingDAO;
import org.grouplens.lenskit.util.io.CompressionMode;
import org.junit.Before;
import java.io.File;
import java.io.FileNotFoundException;
import java.util.List;
import static org.hamcrest.Matchers.*;
import static org.junit.Assume.assumeThat;
import static org.junit.Assume.assumeTrue;
/**
* Base class for integration tests using the ML-100K data set.
* @author GroupLens Research
*/
public class ML100KTestSuite {
protected final String ML100K_PROPERTY = "lenskit.movielens.100k";
protected final String INPUT_FILE_NAME = "u.data";
protected EventDAO dao;
@Before
public void createDAOFactory() throws FileNotFoundException {
assumeThat("Integration test skip requested",
System.getProperty("lenskit.integration.skip"),
anyOf(nullValue(), not(equalToIgnoringCase("true"))));
final String dataProp = System.getProperty(ML100K_PROPERTY);
final File dataDir = dataProp != null ? new File(dataProp) : new File("data/ml-100k");
final File inputFile = new File(dataDir, INPUT_FILE_NAME);
if (dataProp == null) {
assumeTrue("MovieLens should be available. To correct this, unpack the" +
" MovieLens 100K data set into data/ml-100k, or set the" +
" lenskit.movielens.100k property to point to the location" +
" of an unpacked copy of the data set. For more details, see" +
" http://lenskit.grouplens.org/ML100K", inputFile.exists());
} else if (!inputFile.exists()) {
// if the property is set, fail fatally if it doesn't work
throw new FileNotFoundException("ML data set at " + inputFile + ". " +
"See .");
}
EventDAO fileDao = new SimpleFileRatingDAO(inputFile, "\t", CompressionMode.NONE);
List events = Cursors.makeList(fileDao.streamEvents());
dao = new EventCollectionDAO(events);
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy