54 lines
2.2 KiB
Java
54 lines
2.2 KiB
Java
package org.schabi.newpipe.extractor.services.bandcamp;
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import org.junit.jupiter.api.BeforeAll;
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import org.junit.jupiter.api.Test;
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import org.schabi.newpipe.downloader.DownloaderTestImpl;
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import org.schabi.newpipe.extractor.ListExtractor;
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import org.schabi.newpipe.extractor.NewPipe;
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import org.schabi.newpipe.extractor.comments.CommentsExtractor;
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import org.schabi.newpipe.extractor.comments.CommentsInfoItem;
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import org.schabi.newpipe.extractor.exceptions.ExtractionException;
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import org.schabi.newpipe.extractor.services.DefaultTests;
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import org.schabi.newpipe.extractor.utils.Utils;
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import java.io.IOException;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertFalse;
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import static org.junit.jupiter.api.Assertions.assertTrue;
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import static org.schabi.newpipe.extractor.ServiceList.Bandcamp;
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public class BandcampCommentsExtractorTest {
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private static CommentsExtractor extractor;
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@BeforeAll
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public static void setUp() throws ExtractionException, IOException {
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NewPipe.init(DownloaderTestImpl.getInstance());
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extractor = Bandcamp.getCommentsExtractor("https://floatingpoints.bandcamp.com/album/promises");
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extractor.fetchPage();
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}
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@Test
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public void hasComments() throws IOException, ExtractionException {
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assertTrue(extractor.getInitialPage().getItems().size() >= 3);
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}
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@Test
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public void testGetCommentsAllData() throws IOException, ExtractionException {
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ListExtractor.InfoItemsPage<CommentsInfoItem> comments = extractor.getInitialPage();
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DefaultTests.defaultTestListOfItems(Bandcamp, comments.getItems(), comments.getErrors());
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for (CommentsInfoItem c : comments.getItems()) {
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assertFalse(Utils.isBlank(c.getUploaderName()));
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assertFalse(Utils.isBlank(c.getUploaderAvatarUrl()));
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assertFalse(Utils.isBlank(c.getCommentText().getContent()));
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assertFalse(Utils.isBlank(c.getName()));
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assertFalse(Utils.isBlank(c.getThumbnailUrl()));
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assertFalse(Utils.isBlank(c.getUrl()));
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assertEquals(-1, c.getLikeCount());
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assertTrue(Utils.isBlank(c.getTextualLikeCount()));
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}
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}
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}
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