Examples of org.apache.lucene.analysis.TokenStream

org.apache.lucene.analysis.TokenStream
A TokenStream enumerates the sequence of tokens, either from {@link Field}s of a {@link Document} or from query text.
This is an abstract class; concrete subclasses are:
- {@link Tokenizer}, a TokenStream whose input is a Reader; and
- {@link TokenFilter}, a TokenStream whose input is another TokenStream.
A new TokenStream API has been introduced with Lucene 2.9. This API has moved from being {@link Token}-based to {@link Attribute}-based. While {@link Token} still exists in 2.9 as a convenience class, the preferred wayto store the information of a {@link Token} is to use {@link AttributeImpl}s.
TokenStream now extends {@link AttributeSource}, which provides access to all of the token {@link Attribute}s for the TokenStream. Note that only one instance per {@link AttributeImpl} is created and reusedfor every token. This approach reduces object creation and allows local caching of references to the {@link AttributeImpl}s. See {@link #incrementToken()} for further details.
The workflow of the new TokenStream API is as follows:
1. Instantiation of TokenStream/ {@link TokenFilter}s which add/get attributes to/from the {@link AttributeSource}.
2. The consumer calls {@link TokenStream#reset()}.
3. The consumer retrieves attributes from the stream and stores local references to all attributes it wants to access.
4. The consumer calls {@link #incrementToken()} until it returns falseconsuming the attributes after each call.
5. The consumer calls {@link #end()} so that any end-of-stream operationscan be performed.
6. The consumer calls {@link #close()} to release any resource when finishedusing the TokenStream.
To make sure that filters and consumers know which attributes are available, the attributes must be added during instantiation. Filters and consumers are not required to check for availability of attributes in {@link #incrementToken()}.
You can find some example code for the new API in the analysis package level Javadoc.
Sometimes it is desirable to capture a current state of a TokenStream, e.g., for buffering purposes (see {@link CachingTokenFilter}, {@link TeeSinkTokenFilter}). For this usecase {@link AttributeSource#captureState} and {@link AttributeSource#restoreState}can be used.


        String s = "football-soccer in the euro 2004 footie competition";
        QueryParser parser = new QueryParser(TEST_VERSION_CURRENT, "bookid", analyzer);
        Query query = parser.parse(srchkey);


        TokenStream tokenStream = analyzer.tokenStream(null, new StringReader(s));


        Highlighter highlighter = getHighlighter(query, null, tokenStream, HighlighterTest.this);


        // Get 3 best fragments and seperate with a "..."
        tokenStream = analyzer.tokenStream(null, new StringReader(s));

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        doSearching("Kennedy");
        // new Highlighter(HighlighterTest.this, new QueryTermScorer(query));


        for (int i = 0; i < hits.totalHits; i++) {
          String text = searcher.doc(hits.scoreDocs[i].doc).get(FIELD_NAME);
          TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(text));
          Highlighter highlighter = getHighlighter(query, FIELD_NAME, tokenStream,
              HighlighterTest.this);
          String result = highlighter.getBestFragment(tokenStream, text);
          if (VERBOSE) System.out.println("\t" + result);
        }

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        doSearching("Kennedy");


        for (int i = 0; i < hits.totalHits; i++) {
          String text = searcher.doc(hits.scoreDocs[i].doc).get(FIELD_NAME);
          TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(text));


          Highlighter highlighter = getHighlighter(query, FIELD_NAME, tokenStream,
              HighlighterTest.this);// new Highlighter(this, new
          // QueryTermScorer(query));
          highlighter.setTextFragmenter(new SimpleFragmenter(20));

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      @Override
      public void run() throws Exception {
        numHighlights = 0;
        doSearching("meat");
        TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(texts[0]));
        Highlighter highlighter = getHighlighter(query, FIELD_NAME, tokenStream,
            HighlighterTest.this);// new Highlighter(this, new
        // QueryTermScorer(query));
        highlighter.setMaxDocCharsToAnalyze(30);

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        int maxNumFragmentsRequired = 3;


        for (int i = 0; i < hits.totalHits; i++) {
          String text = searcher.doc(hits.scoreDocs[i].doc).get(FIELD_NAME);
          TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(text));
          Highlighter highlighter = getHighlighter(query, FIELD_NAME, tokenStream, HighlighterTest.this, false);


          highlighter.setTextFragmenter(new SimpleFragmenter(40));


          String highlightedText = highlighter.getBestFragments(tokenStream, text,

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      public void run() throws Exception {
        doSearching("AnInvalidQueryWhichShouldYieldNoResults");


        for (int i = 0; i < texts.length; i++) {
          String text = texts[i];
          TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(text));
          Highlighter highlighter = getHighlighter(query, FIELD_NAME, tokenStream,
              HighlighterTest.this);
          String result = highlighter.getBestFragment(tokenStream, text);
          assertNull("The highlight result should be null for text with no query terms", result);
        }

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      public TokenStream init(TokenStream tokenStream) {
        return null;
      }
    });
    highlighter.setTextFragmenter(new SimpleFragmenter(2000));
    TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(rawDocContent));


    String encodedSnippet = highlighter.getBestFragments(tokenStream, rawDocContent, 1, "");
    // An ugly bit of XML creation:
    String xhtml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n"
        + "<html xmlns=\"http://www.w3.org/1999/xhtml\" xml:lang=\"en\" lang=\"en\">\n"

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    // highlighted text
    Highlighter highlighter = new Highlighter(this, new QueryTermScorer(query));


    for (int i = 0; i < hits.totalHits; i++) {
      String text = multiSearcher.doc(hits.scoreDocs[i].doc).get(FIELD_NAME);
      TokenStream tokenStream = analyzer.tokenStream(FIELD_NAME, new StringReader(text));
      String highlightedText = highlighter.getBestFragment(tokenStream, text);
      if (VERBOSE) System.out.println(highlightedText);
    }
    assertTrue("Failed to find correct number of highlights " + numHighlights + " found",
        numHighlights == 2);

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  }


  protected TokenStream getTS2() {
    // String s = "Hi-Speed10 foo";
    return new TokenStream() {
      Iterator<Token> iter;
      List<Token> lst;
      private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
      private final PositionIncrementAttribute posIncrAtt = addAttribute(PositionIncrementAttribute.class);
      private final OffsetAttribute offsetAtt = addAttribute(OffsetAttribute.class);

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  }


  // same token-stream as above, but the bigger token comes first this time
  protected TokenStream getTS2a() {
    // String s = "Hi-Speed10 foo";
    return new TokenStream() {
      Iterator<Token> iter;
      List<Token> lst;
      private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
      private final PositionIncrementAttribute posIncrAtt = addAttribute(PositionIncrementAttribute.class);
      private final OffsetAttribute offsetAtt = addAttribute(OffsetAttribute.class);

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