/*
* Copyright 2015
* Ubiquitous Knowledge Processing (UKP) Lab
* Technische Universität Darmstadt
* <p>
* 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
* <p>
* http://www.apache.org/licenses/LICENSE-2.0
* <p>
* 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.mallet.lda.io;
import de.tudarmstadt.ukp.dkpro.core.io.text.TextReader;
import de.tudarmstadt.ukp.dkpro.core.mallet.lda.MalletLdaTopicModelInferencer;
import de.tudarmstadt.ukp.dkpro.core.testing.DkproTestContext;
import de.tudarmstadt.ukp.dkpro.core.tokit.BreakIteratorSegmenter;
import org.apache.commons.io.FileUtils;
import org.apache.uima.UIMAException;
import org.apache.uima.analysis_engine.AnalysisEngineDescription;
import org.apache.uima.collection.CollectionReaderDescription;
import org.apache.uima.fit.pipeline.SimplePipeline;
import org.junit.Rule;
import org.junit.Test;
import java.io.File;
import java.io.IOException;
import java.util.List;
import static de.tudarmstadt.ukp.dkpro.core.mallet.lda.MalletLdaUtil.trainModel;
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 static org.junit.Assert.assertTrue;
/**
*
*/
public class MalletLdaTopicsProportionsSortedWriterTest
{
private static final String CAS_DIR = "src/test/resources/txt";
private static final String CAS_FILE_PATTERN = "[+]*.txt";
private static final int N_TOPICS = 10;
private static final int N_ITERATIONS = 50;
private static final String LANGUAGE = "en";
@Rule
public DkproTestContext testContext = new DkproTestContext();
@Test
public void test()
throws UIMAException, IOException
{
File targetFile = new File(testContext.getTestOutputFolder(), "topics.txt");
File modelFile = new File(testContext.getTestOutputFolder(), "model");
trainModel(modelFile);
int expectedLines = 2;
int nTopicsOutput = 3;
String expectedLine0Regex = "dummy1.txt(\t[0-9]+:0\\.[0-9]{4}){" + nTopicsOutput + "}";
String expectedLine1Regex = "dummy2.txt(\t[0-9]+:0\\.[0-9]{4}){" + nTopicsOutput + "}";
CollectionReaderDescription reader = createReaderDescription(TextReader.class,
TextReader.PARAM_SOURCE_LOCATION, CAS_DIR,
TextReader.PARAM_PATTERNS, CAS_FILE_PATTERN,
TextReader.PARAM_LANGUAGE, LANGUAGE);
AnalysisEngineDescription segmenter = createEngineDescription(BreakIteratorSegmenter.class);
AnalysisEngineDescription inferencer = createEngineDescription(
MalletLdaTopicModelInferencer.class,
MalletLdaTopicModelInferencer.PARAM_MODEL_LOCATION, modelFile);
AnalysisEngineDescription writer = createEngineDescription(
MalletLdaTopicsProportionsSortedWriter.class,
MalletLdaTopicsProportionsSortedWriter.PARAM_TARGET_LOCATION, targetFile,
MalletLdaTopicsProportionsSortedWriter.PARAM_N_TOPICS, nTopicsOutput);
SimplePipeline.runPipeline(reader, segmenter, inferencer, writer);
List<String> lines = FileUtils.readLines(targetFile);
assertTrue(lines.get(0).matches(expectedLine0Regex));
assertTrue(lines.get(1).matches(expectedLine1Regex));
assertEquals(expectedLines, lines.size());
/* assert first field */
lines.stream()
.map(line -> line.split("\t"))
.forEach(fields -> assertTrue(fields[0].startsWith("dummy")));
}
}