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yacy_search_server/source/net/yacy/document/parser/csvParser.java

176 lines
6.6 KiB

// CSVParser
// (C) 2009 by Michael Peter Christen; mc@yacy.net, Frankfurt a. M., Germany
// first published 02.10.2009 on http://yacy.net
//
// This is a part of YaCy, a peer-to-peer based web search engine
//
// $LastChangedDate: 2009-09-23 23:26:14 +0200 (Mi, 23 Sep 2009) $
// $LastChangedRevision: 6340 $
// $LastChangedBy: low012 $
//
// LICENSE
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
package net.yacy.document.parser;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import net.yacy.document.AbstractParser;
import net.yacy.document.Document;
import net.yacy.document.Idiom;
import net.yacy.document.ParserException;
import net.yacy.kelondro.data.meta.DigestURI;
/**
* a parser for comma-separated values
* The values may also be separated by semicolon or tab,
* the separator character is detected automatically
*/
public class csvParser extends AbstractParser implements Idiom {
/**
* a list of mime types that are supported by this parser class
* @see #getSupportedMimeTypes()
*/
public static final Set<String> SUPPORTED_MIME_TYPES = new HashSet<String>();
public static final Set<String> SUPPORTED_EXTENSIONS = new HashSet<String>();
static {
SUPPORTED_EXTENSIONS.add("csv");
}
public csvParser() {
super("Comma Separated Value Parser");
}
public Set<String> supportedMimeTypes() {
return SUPPORTED_MIME_TYPES;
}
public Set<String> supportedExtensions() {
return SUPPORTED_EXTENSIONS;
}
@Override
public Document parse(DigestURI location, String mimeType, String charset, InputStream source) throws ParserException, InterruptedException {
// construct a document using all cells of the document
// the first row is used as headline
// all lines are artificially terminated by a '.' to separate them as sentence for the condenser.
List<String[]> table = getTable(location, mimeType, charset, source);
if (table.isEmpty()) throw new ParserException("document has no lines", location);
StringBuilder sb = new StringBuilder();
for (String[] row: table) sb.append(concatRow(row)).append(' ');
try {
return new Document(
location,
mimeType,
charset,
null,
null,
concatRow(table.get(0)),
"",
"",
null,
null,
sb.toString().getBytes(charset),
null,
null,
false);
} catch (UnsupportedEncodingException e) {
throw new ParserException("error in csvParser, getBytes: " + e.getMessage(), location);
}
}
public String concatRow(String[] column) {
StringBuilder sb = new StringBuilder(80);
for (int i = 0; i < column.length; i++) {
if (i != 0) sb.append(' ');
sb.append(column[i]);
}
sb.append('.');
return sb.toString();
}
public List<String[]> getTable(DigestURI location, String mimeType, String charset, InputStream source) {
ArrayList<String[]> rows = new ArrayList<String[]>();
BufferedReader reader;
try {
reader = new BufferedReader(new InputStreamReader(source, charset));
} catch (UnsupportedEncodingException e1) {
reader = new BufferedReader(new InputStreamReader(source));
}
String row;
String separator = null;
int columns = -1;
try {
while ((row = reader.readLine()) != null) {
row = row.trim();
if (row.length() == 0) continue;
if (separator == null) {
// try comma, semicolon and tab; take that one that results with more columns
String[] colc = row.split(",");
String[] cols = row.split(";");
String[] colt = row.split("\t");
if (colc.length >= cols.length && colc.length >= colt.length) separator = ",";
if (cols.length >= colc.length && cols.length >= colt.length) separator = ";";
if (colt.length >= cols.length && colt.length >= colc.length) separator = "\t";
}
row = stripQuotes(row, '\"', separator.charAt(0), ' ');
row = stripQuotes(row, '\'', separator.charAt(0), ' ');
String[] cols = row.split(separator);
if (columns == -1) columns = cols.length;
//if (cols.length != columns) continue; // skip lines that have the wrong number of columns
rows.add(cols);
}
} catch (IOException e) {
}
return rows;
}
/**
* remove quotes AND separator characters within the quotes
* to make it possible to split the line using the String.split method
* @param line
* @param quote
* @param separator
* @param replacement
* @return the line without the quotes
*/
public static String stripQuotes(String line, char quote, char separator, char replacement) {
int p, q;
// find left quote
while ((p = line.indexOf(quote)) >= 0) {
q = line.indexOf(quote, p + 1);
if (q < 0) {
// there is only a single quote but no 'right' quote.
// This data is not well-formed. Just remove the quote and give up.
return line.substring(0, p) + line.substring(p + 1);
}
line = line.substring(0, p) + line.substring(p + 1, q).replace(separator, replacement) + line.substring(q + 1);
}
return line;
}
}