com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.TrainingDataUtilsTest.java Source code

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Here is the source code for com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.TrainingDataUtilsTest.java

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/**
 * Copyright 2015 IBM Corp. All Rights Reserved.
 *
 * 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 com.ibm.watson.developer_cloud.natural_language_classifier.v1.model;

import java.io.File;
import java.util.List;

import org.apache.commons.csv.CSVFormat;
import org.junit.Assert;
import org.junit.Test;

import com.ibm.watson.developer_cloud.natural_language_classifier.v1.util.TrainingDataUtils;

/**
 * Test for {@link TrainingDataUtils}.
 */
public class TrainingDataUtilsTest {

    /**
     * Test for POJO to CSV conversion.
     */
    @Test
    public void testToCSV() {
        Assert.assertEquals("foo,class1,class2,class3\r\nfoo2,class3\r\nfoo3,class3\r\n",
                TrainingDataUtils.toCSV(
                        new TrainingData().withText("foo").withClasses("class1", "class2", "class3"),
                        new TrainingData().withText("foo2").withClasses("class3"),
                        new TrainingData().withText("foo3").withClasses("class3"),
                        new TrainingData().withText("foo4"), new TrainingData().withClasses("class4")));
    }

    /**
     * Test conversion from CSV to training data.
     */
    @Test
    public void testToTrainingData() {
        File file = new File("src/test/resources/weather_data_train.csv");
        List<TrainingData> trainingData = TrainingDataUtils.fromCSV(file, CSVFormat.DEFAULT);
        Assert.assertNotNull(trainingData);
        Assert.assertNotEquals(0, trainingData.size());
    }

}