/*
* Copyright 2013
* Ubiquitous Knowledge Processing (UKP) Lab
* Technische Universität Darmstadt
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package de.tudarmstadt.ukp.dkpro.core.frequency.tfidf;
import static de.tudarmstadt.ukp.dkpro.core.api.io.ResourceCollectionReaderBase.INCLUDE_PREFIX;
import static de.tudarmstadt.ukp.dkpro.core.api.io.ResourceCollectionReaderBase.PARAM_SOURCE_LOCATION;
import static de.tudarmstadt.ukp.dkpro.core.api.io.ResourceCollectionReaderBase.PARAM_PATTERNS;
import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription;
import static org.apache.uima.fit.factory.CollectionReaderFactory.createReaderDescription;
import static org.junit.Assert.assertEquals;
import java.io.File;
import org.apache.uima.analysis_engine.AnalysisEngineDescription;
import org.apache.uima.collection.CollectionReaderDescription;
import org.apache.uima.fit.pipeline.SimplePipeline;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;
import org.junit.rules.TestName;
import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Token;
import de.tudarmstadt.ukp.dkpro.core.frequency.tfidf.model.DfModel;
import de.tudarmstadt.ukp.dkpro.core.frequency.tfidf.util.TfidfUtils;
import de.tudarmstadt.ukp.dkpro.core.io.text.TextReader;
import de.tudarmstadt.ukp.dkpro.core.tokit.BreakIteratorSegmenter;
/**
* Unit test of {@link TfidfConsumer} and {@link TfidfAnnotator}.
*
*
*/
public class TfidfConsumerTest
{
@Rule
public TemporaryFolder folder = new TemporaryFolder();
@Test
public void rawScoresTest()
throws Exception
{
File target = folder.newFile(name.getMethodName());
CollectionReaderDescription reader = createReaderDescription(TextReader.class,
PARAM_SOURCE_LOCATION, "src/test/resources/consumer/",
PARAM_PATTERNS, INCLUDE_PREFIX + "*.txt");
AnalysisEngineDescription aggregate = createEngineDescription(
createEngineDescription(BreakIteratorSegmenter.class),
createEngineDescription(TfidfConsumer.class,
TfidfConsumer.PARAM_FEATURE_PATH, Token.class.getName(),
TfidfConsumer.PARAM_TARGET_LOCATION, target));
// now create the tf and df files
SimplePipeline.runPipeline(reader, aggregate);
// check whether they were really created and contain the correct values
DfModel dfModel = TfidfUtils.getDfModel(target.getPath());
assertEquals(2, dfModel.getDf("example"));
assertEquals(2, dfModel.getDf("sentence"));
assertEquals(1, dfModel.getDf("funny"));
}
@Rule
public TestName name = new TestName();
@Before
public void printSeparator()
{
System.out.println("\n=== " + name.getMethodName() + " =====================");
}
}