001/* ===========================================================
002 * JFreeChart : a free chart library for the Java(tm) platform
003 * ===========================================================
004 *
005 * (C) Copyright 2000-present, by David Gilbert and Contributors.
006 *
007 * Project Info:  http://www.jfree.org/jfreechart/index.html
008 *
009 * This library is free software; you can redistribute it and/or modify it
010 * under the terms of the GNU Lesser General Public License as published by
011 * the Free Software Foundation; either version 2.1 of the License, or
012 * (at your option) any later version.
013 *
014 * This library is distributed in the hope that it will be useful, but
015 * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
016 * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
017 * License for more details.
018 *
019 * You should have received a copy of the GNU Lesser General Public
020 * License along with this library; if not, write to the Free Software
021 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301,
022 * USA.
023 *
024 * [Oracle and Java are registered trademarks of Oracle and/or its affiliates. 
025 * Other names may be trademarks of their respective owners.]
026 *
027 * --------
028 * CSV.java
029 * --------
030 * (C) Copyright 2003-present, by David Gilbert.
031 *
032 * Original Author:  David Gilbert;
033 * Contributor(s):   -;
034 *
035 */
036
037package org.jfree.data.io;
038
039import java.io.BufferedReader;
040import java.io.IOException;
041import java.io.Reader;
042import java.util.List;
043
044import org.jfree.data.category.CategoryDataset;
045import org.jfree.data.category.DefaultCategoryDataset;
046
047/**
048 * A utility class for reading {@link CategoryDataset} data from a CSV file.
049 * This initial version is very basic, and won't handle errors in the data
050 * file very gracefully.
051 */
052public class CSV {
053
054    /** The field delimiter. */
055    private char fieldDelimiter;
056
057    /** The text delimiter. */
058    private char textDelimiter;
059
060    /**
061     * Creates a new CSV reader where the field delimiter is a comma, and the
062     * text delimiter is a double-quote.
063     */
064    public CSV() {
065        this(',', '"');
066    }
067
068    /**
069     * Creates a new reader with the specified field and text delimiters.
070     *
071     * @param fieldDelimiter  the field delimiter (usually a comma, semi-colon,
072     *                        colon, tab or space).
073     * @param textDelimiter  the text delimiter (usually a single or double
074     *                       quote).
075     */
076    public CSV(char fieldDelimiter, char textDelimiter) {
077        this.fieldDelimiter = fieldDelimiter;
078        this.textDelimiter = textDelimiter;
079    }
080
081    /**
082     * Reads a {@link CategoryDataset} from a CSV file or input source.
083     *
084     * @param in  the input source.
085     *
086     * @return A category dataset.
087     *
088     * @throws IOException if there is an I/O problem.
089     */
090    public CategoryDataset readCategoryDataset(Reader in) throws IOException {
091
092        DefaultCategoryDataset dataset = new DefaultCategoryDataset();
093        BufferedReader reader = new BufferedReader(in);
094        List columnKeys = null;
095        int lineIndex = 0;
096        String line = reader.readLine();
097        while (line != null) {
098            if (lineIndex == 0) {  // first line contains column keys
099                columnKeys = extractColumnKeys(line);
100            }
101            else {  // remaining lines contain a row key and data values
102                extractRowKeyAndData(line, dataset, columnKeys);
103            }
104            line = reader.readLine();
105            lineIndex++;
106        }
107        return dataset;
108
109    }
110
111    /**
112     * Extracts the column keys from a string.
113     *
114     * @param line  a line from the input file.
115     *
116     * @return A list of column keys.
117     */
118    private List extractColumnKeys(String line) {
119        List keys = new java.util.ArrayList();
120        int fieldIndex = 0;
121        int start = 0;
122        for (int i = 0; i < line.length(); i++) {
123            if (line.charAt(i) == this.fieldDelimiter) {
124                if (fieldIndex > 0) {  // first field is ignored, since
125                                       // column 0 is for row keys
126                    String key = line.substring(start, i);
127                    keys.add(removeStringDelimiters(key));
128                }
129                start = i + 1;
130                fieldIndex++;
131            }
132        }
133        String key = line.substring(start);
134        keys.add(removeStringDelimiters(key));
135        return keys;
136    }
137
138    /**
139     * Extracts the row key and data for a single line from the input source.
140     *
141     * @param line  the line from the input source.
142     * @param dataset  the dataset to be populated.
143     * @param columnKeys  the column keys.
144     */
145    private void extractRowKeyAndData(String line,
146                                      DefaultCategoryDataset dataset,
147                                      List columnKeys) {
148        Comparable rowKey = null;
149        int fieldIndex = 0;
150        int start = 0;
151        for (int i = 0; i < line.length(); i++) {
152            if (line.charAt(i) == this.fieldDelimiter) {
153                if (fieldIndex == 0) {  // first field contains the row key
154                    String key = line.substring(start, i);
155                    rowKey = removeStringDelimiters(key);
156                }
157                else {  // remaining fields contain values
158                    Double value = Double.valueOf(
159                        removeStringDelimiters(line.substring(start, i))
160                    );
161                    dataset.addValue(
162                        value, rowKey,
163                        (Comparable) columnKeys.get(fieldIndex - 1)
164                    );
165                }
166                start = i + 1;
167                fieldIndex++;
168            }
169        }
170        Double value = Double.valueOf(
171            removeStringDelimiters(line.substring(start))
172        );
173        dataset.addValue(
174            value, rowKey, (Comparable) columnKeys.get(fieldIndex - 1)
175        );
176    }
177
178    /**
179     * Removes the string delimiters from a key (as well as any white space
180     * outside the delimiters).
181     *
182     * @param key  the key (including delimiters).
183     *
184     * @return The key without delimiters.
185     */
186    private String removeStringDelimiters(String key) {
187        String k = key.trim();
188        if (k.charAt(0) == this.textDelimiter) {
189            k = k.substring(1);
190        }
191        if (k.charAt(k.length() - 1) == this.textDelimiter) {
192            k = k.substring(0, k.length() - 1);
193        }
194        return k;
195    }
196
197}