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