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ai.preferred.regression.pe.RemoveOversizedRows Maven / Gradle / Ivy
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Your preferred data manipulation and analysis language for CSV.
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/*
* 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 3 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, see .
*/
package ai.preferred.regression.pe;
import ai.preferred.regression.io.CSVInputData;
import org.apache.commons.csv.CSVPrinter;
import org.kohsuke.args4j.Option;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.ArrayList;
public class RemoveOversizedRows extends ProcessingElement {
private static final Logger LOGGER = LoggerFactory.getLogger(RemoveOversizedRows.class);
@Option(name = "-c", aliases = {"--column"})
private int column;
@Option(name = "-d", aliases = {"--delimiter"})
private String delimiter = ",";
@Option(name = "-l", aliases = {"--length"})
private int maxLength;
@Override
protected void process(CSVInputData data, CSVPrinter printer) throws IOException {
if (data.hasHeader()) {
ArrayList header = data.getHeader();
printer.printRecord(header);
}
for (ArrayList record : data) {
if (record.get(column).split(delimiter).length <= maxLength) {
printer.printRecord(record);
}
}
}
public static void main(String[] args) {
parseArgsAndRun(RemoveOversizedRows.class, args);
}
}
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