105 lines
3.2 KiB
Java
105 lines
3.2 KiB
Java
/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.poi.hwpf.extractor;
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import java.io.FileInputStream;
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import java.util.Iterator;
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import org.apache.poi.hwpf.HWPFDocument;
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import org.apache.poi.hwpf.model.TextPiece;
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import org.apache.poi.hwpf.usermodel.Paragraph;
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import org.apache.poi.hwpf.usermodel.Range;
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import junit.framework.TestCase;
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/**
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* Test the different routes to extracting text
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*
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* @author Nick Burch (nick at torchbox dot com)
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*/
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public class TestWordExtractor extends TestCase {
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private String[] p_text1 = new String[] {
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"This is a simple word document\r\n",
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"\r\n",
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"It has a number of paragraphs in it\r\n",
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"\r\n",
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"Some of them even feature bold, italic and underlined text\r\n",
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"\r\n",
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"\r\n",
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"This bit is in a different font and size\r\n",
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"\r\n",
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"\r\n",
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"This bit features some red text.\r\n",
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"\r\n",
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"\r\n",
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"It is otherwise very very boring.\r\n"
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};
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private String p_text1_block = new String();
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// Well behaved document
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private WordExtractor extractor;
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// Corrupted document - can't do paragraph based stuff
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private WordExtractor extractor2;
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protected void setUp() throws Exception {
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String dirname = System.getProperty("HWPF.testdata.path");
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String filename = dirname + "/test2.doc";
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String filename2 = dirname + "/test.doc";
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extractor = new WordExtractor(new FileInputStream(filename));
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extractor2 = new WordExtractor(new FileInputStream(filename2));
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// Build splat'd out text version
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for(int i=0; i<p_text1.length; i++) {
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p_text1_block += p_text1[i];
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}
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}
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/**
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* Test paragraph based extraction
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*/
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public void testExtractFromParagraphs() {
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String[] text = extractor.getParagraphText();
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assertEquals(p_text1.length, text.length);
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for(int i=0; i<p_text1.length; i++) {
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assertEquals(p_text1[i], text[i]);
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}
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// On second one, should fall back
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assertEquals(1, extractor2.getParagraphText().length);
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}
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/**
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* Test the paragraph -> flat extraction
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*/
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public void testGetText() {
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assertEquals(p_text1_block, extractor.getText());
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// On second one, should fall back to text piece
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assertEquals(extractor2.getTextFromPieces(), extractor2.getText());
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}
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/**
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* Test textPieces based extraction
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*/
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public void testExtractFromTextPieces() throws Exception {
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String text = extractor.getTextFromPieces();
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assertEquals(p_text1_block, text);
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}
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}
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