All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.fulcrum.parser.TSVParser Maven / Gradle / Ivy

There is a newer version: 3.0.0
Show newest version
package org.apache.fulcrum.parser;


/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */


import java.io.Reader;
import java.io.StreamTokenizer;
import java.util.List;

/**
 * TSVParser is used to parse a stream with tab-separated values and
 * generate ParameterParser objects which can be used to
 * extract the values in the desired type.
 *
 * 

The class extends the abstract class DataStreamParser and implements * initTokenizer with suitable values for TSV files to provide this * functionality. * *

The class (indirectly through DataStreamParser) implements the * java.util.Iterator interface for convenience. * This allows simple use in a Velocity template for example: * *

 * #foreach ($row in $tsvfile)
 *   Name: $row.Name
 *   Description: $row.Description
 * #end
 * 
* * @author Sean Legassick * @version $Id: TSVParser.java 1180657 2011-10-09 17:16:21Z tv $ */ public class TSVParser extends DataStreamParser { /** * Create a new TSVParser instance. Requires a Reader to read the * tab-separated values from. The column headers must be set * independently either explicitly, or by reading the first line * of the TSV values. * * @param in the input reader. */ public TSVParser(Reader in) { super(in, null, null); } /** * Create a new TSVParser instance. Requires a Reader to read the * tab-separated values from, and a list of column names. * * @param in the input reader. * @param columnNames a list of column names. */ public TSVParser(Reader in, List columnNames) { super(in, columnNames, null); } /** * Create a new TSVParser instance. Requires a Reader to read the * tab-separated values from, a list of column names and a * character encoding. * * @param in the input reader. * @param columnNames a list of column names. * @param characterEncoding the character encoding of the input. */ public TSVParser(Reader in, List columnNames, String characterEncoding) { super(in, columnNames, characterEncoding); } /** * Initialize the StreamTokenizer instance used to read the lines * from the input reader. */ protected void initTokenizer(StreamTokenizer tokenizer) { // set all numeric characters as ordinary characters // (switches off number parsing) tokenizer.ordinaryChars('0', '9'); tokenizer.ordinaryChars('-', '-'); tokenizer.ordinaryChars('.', '.'); // set all printable characters to be treated as word chars tokenizer.wordChars(' ', Integer.MAX_VALUE); // and finally say that end of line is significant tokenizer.eolIsSignificant(true); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy