Examples of org.jfree.report.util.CSVTokenizer

org.jfree.report.util.CSVTokenizer
The csv tokenizer class allows an application to break a Comma Separated Value format into tokens. The tokenization method is much simpler than the one used by the StringTokenizer class. The CSVTokenizer methods do not distinguish among identifiers, numbers, and quoted strings, nor do they recognize and skip comments.
The set of separator (the characters that separate tokens) may be specified either at creation time or on a per-token basis.
An instance of CSVTokenizer behaves in one of two ways, depending on whether it was created with the returnSeparators flag having the value true or false:
- If the flag is false, delimiter characters serve to separate tokens. A token is a maximal sequence of consecutive characters that are not separator.
- If the flag is true, delimiter characters are themselves considered to be tokens. A token is thus either one delimiter character, or a maximal sequence of consecutive characters that are not separator.
A CSVTokenizer object internally maintains a current position within the string to be tokenized. Some operations advance this current position past the characters processed.
A token is returned by taking a substring of the string that was used to create the CSVTokenizer object.
The following is one example of the use of the tokenizer. The code:
```
 CSVTokenizer csvt = new CSVTokenizer("this,is,a,test"); while (csvt.hasMoreTokens()) { println(csvt.nextToken()); } 
```
prints the following output:
```
 this is a test 
```
@author abupon


  protected String lookupVariable (final String entity)
  {
    // first, split the entity into separate strings (separator is '.').


    final CSVTokenizer tokenizer = new CSVTokenizer(entity, ".");
    if (tokenizer.hasMoreTokens())
    {
      final String name = tokenizer.nextToken();
      final Object base = performInitialLookup(name);
      try
      {
        if (tokenizer.hasMoreTokens())
        {
          return continueLookupVariable(tokenizer, base);
        }
        else
        {

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   * @return a property value.
   * @throws BeanException if there was an error during the conversion.
   */
  public Object toPropertyValue (final String s) throws BeanException
  {
    final CSVTokenizer tokenizer = new CSVTokenizer(s);
    final ArrayList elements = new ArrayList();
    while (tokenizer.hasMoreTokens())
    {
      final String token = tokenizer.nextToken();
      elements.add(elementConverter.toPropertyValue(token));
    }
    final Object retval =
            Array.newInstance(elementType, elements.size());
    for (int i = 0; i < elements.size(); i++)

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  }


  private String[] splitLine (final String line)
  {
    final ArrayList row = new ArrayList();
    final CSVTokenizer tokenizer = new CSVTokenizer(line, getSeparator());
    while (tokenizer.hasMoreElements())
    {
      row.add(tokenizer.nextElement());
    }
    return (String[]) row.toArray(new String[row.size()]);
  }

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      final String bootModules =
              getGlobalConfig().getConfigProperty
              ("org.jfree.report.boot.Modules");
      if (bootModules != null)
      {
        final CSVTokenizer csvToken = new CSVTokenizer(bootModules, ",");
        while (csvToken.hasMoreTokens())
        {
          final String token = csvToken.nextToken();
          getPackageManager().load(token);
        }
      }
    }
    catch (SecurityException se)

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    {
      throw new ReportDataFactoryException("Malformed query: " + query);
    }
    final String parameterText =
            query.substring(parameterStartIdx + 1, parameterEndIdx);
    final CSVTokenizer tokenizer = new CSVTokenizer(parameterText);
    final int size = tokenizer.countTokens();
    final String[] parameterNames = new String[size];
    int i = 0;
    while (tokenizer.hasMoreTokens())
    {
      parameterNames[i] = tokenizer.nextToken();
      i += 1;
    }
    return parameterNames;
  }

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      final String bootModules =
              getGlobalConfig().getConfigProperty
              ("org.jfree.report.boot.Modules");
      if (bootModules != null)
      {
        final CSVTokenizer csvToken = new CSVTokenizer(bootModules, ",");
        while (csvToken.hasMoreTokens())
        {
          final String token = csvToken.nextToken();
          getPackageManager().load(token);
        }
      }
    }
    catch (SecurityException se)

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    {
      throw new ReportDataFactoryException("Malformed query: " + query);
    }
    final String parameterText =
            query.substring(parameterStartIdx + 1, parameterEndIdx);
    final CSVTokenizer tokenizer = new CSVTokenizer(parameterText);
    final int size = tokenizer.countTokens();
    final String[] parameterNames = new String[size];
    int i = 0;
    while (tokenizer.hasMoreTokens())
    {
      parameterNames[i] = tokenizer.nextToken();
      i += 1;
    }
    return parameterNames;
  }

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  }


  private String[] splitLine (final String line)
  {
    final ArrayList row = new ArrayList();
    final CSVTokenizer tokenizer = new CSVTokenizer(line, getSeparator());
    while (tokenizer.hasMoreElements())
    {
      row.add(tokenizer.nextElement());
    }
    return (String[]) row.toArray(new String[row.size()]);
  }

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   * @return a property value.
   * @throws BeanException if there was an error during the conversion.
   */
  public Object toPropertyValue (final String s) throws BeanException
  {
    final CSVTokenizer tokenizer = new CSVTokenizer(s);
    final ArrayList elements = new ArrayList();
    while (tokenizer.hasMoreTokens())
    {
      final String token = tokenizer.nextToken();
      elements.add(elementConverter.toPropertyValue(token));
    }
    final Object retval =
            Array.newInstance(elementType, elements.size());
    for (int i = 0; i < elements.size(); i++)

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  }


  private String[] splitLine (final String line)
  {
    final ArrayList row = new ArrayList();
    final CSVTokenizer tokenizer = new CSVTokenizer(line, getSeparator());
    while (tokenizer.hasMoreElements())
    {
      row.add(tokenizer.nextElement());
    }
    return (String[]) row.toArray(new String[row.size()]);
  }

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