/*
 * LensKit, an open source recommender systems toolkit.
 * Copyright 2010-2014 LensKit Contributors.  See CONTRIBUTORS.md.
 * 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.core.LenskitConfiguration;
import org.grouplens.lenskit.cursors.Cursors;
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.data.event.Event;
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 <a href="http://www.grouplens.org">GroupLens Research</a>
 */
public class ML100KTestSuite {
    protected final String ML100K_PROPERTY = "lenskit.movielens.100k";
    protected final String INPUT_FILE_NAME = "u.data";

    protected EventDAO dao;

    protected LenskitConfiguration getDaoConfig() {
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        return config;
    }

    @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 <http://lenskit.grouplens.org/ML100K>.");
        }
        dao = SimpleFileRatingDAO.create(inputFile, "\t", CompressionMode.NONE);
    }
}

@@ -1415,16 +1415,71 @@
 .Before;
+%0Aimport org.junit.internal.AssumptionViolatedException;
 %0A%0Aimport
@@ -2292,72 +2292,21 @@
     
-assumeThat(%22Integration test skip requested%22,%0A                  
+String skip =
  Sys
@@ -2348,17 +2348,17 @@
 n.skip%22)
-,
+;
 %0A       
@@ -2362,57 +2362,46 @@
     
-           anyOf(nullValue(), not(
+if (skip != null && !skip.
 equal
-To
+s
 Ignor
-ing
+e
 Case
@@ -2409,19 +2409,114 @@
 %22true%22))
-));
+ %7B%0A            throw new AssumptionViolatedException(%22Integration test skip requested%22);%0A        %7D
 %0A       

Clean up warning in ML100K