package org.cdlib.xtf.textIndexer; /* * Copyright (c) 2007, Regents of the University of California * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * - Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * - Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * - Neither the name of the University of California nor the names of its * contributors may be used to endorse or promote products derived from this * software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * * Acknowledgements: * * A significant amount of new and/or modified code in this module * was made possible by a grant from the Andrew W. Mellon Foundation, * as part of the Melvyl Recommender Project. */ import java.io.File; import java.io.FileInputStream; import java.io.IOException; import java.io.InputStream; import java.io.StringReader; import java.util.StringTokenizer; import javax.xml.transform.Templates; import org.cdlib.xtf.util.StructuredStore; import org.textmining.extraction.TextExtractor; import org.textmining.extraction.word.WordTextExtractorFactory; import org.xml.sax.InputSource; /** * Transforms a Microsoft Word file to a single-record XML file. * * @author Martin Haye */ public class MSWordIndexSource extends XMLIndexSource { /** Constructor -- initializes all the fields */ public MSWordIndexSource(File msWordFile, String key, Templates[] preFilters, Templates displayStyle, StructuredStore lazyStore) { super(null, msWordFile, key, preFilters, displayStyle, lazyStore); this.msWordFile = msWordFile; } /** Source of MS Word document data */ private File msWordFile; /** Transform the MS Word file to XML data */ protected InputSource filterInput() throws IOException { // Open the Word file and see if we can understand it. InputStream inStream = new FileInputStream(msWordFile); try { // Try to extract the text. TextExtractor extractor = new WordTextExtractorFactory().textExtractor(inStream); String str = extractor.getText(); // Break it up into paragraphs. StringBuffer outBuf = new StringBuffer((int) msWordFile.length()); outBuf.append("<rippedMSWordText>\n"); StringTokenizer st = new StringTokenizer(str, "\r\t", false); while (st.hasMoreTokens()) { String para = st.nextToken().trim(); // Remove invalid Unicode chars, escape ampersands & stuff. para = normalize(para); if (para.length() > 0) { outBuf.append(" <p>" + para + "</p>\n"); } } outBuf.append("</rippedMSWordText>\n"); // And make an InputSource with a proper system ID InputSource finalSrc = new InputSource(new StringReader(outBuf.toString())); finalSrc.setSystemId(msWordFile.toURL().toString()); return finalSrc; } catch (IOException e) { throw e; } catch (Exception e) { throw new RuntimeException(e); } finally { inStream.close(); } } // filterInput() } // class MSWordIndexSource