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/**
 * Copyright (C) 2012 University of Michigan
 * All rights reserved. Use is subject to license terms.
 */
package org.epics.graphene.rrdtool;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.Reader;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.epics.util.array.CircularBufferDouble;
import org.epics.util.array.ListDouble;
import org.epics.util.array.ListNumber;
import org.epics.util.time.Timestamp;

/**
 *
 * @author carcassi
 */
public class RrdToolOutputParser {
    
    public TimeSeriesMulti parse(BufferedReader reader) {
        try {
            // First line has the data name
            List names = Arrays.asList(reader.readLine().trim().split("(\\s+)"));
            
            // Second line is blank
            reader.readLine();
            
            String line;
            List time = new ArrayList<>();
            List buffers = new ArrayList<>(names.size());
            for (int i = 0; i < names.size(); i++) {
                buffers.add(new CircularBufferDouble(1000000));
            }
            while ((line = reader.readLine()) != null) {
                String[] tokens = line.trim().split("(\\s|[:])+");
                Timestamp timestamp = Timestamp.of(Integer.parseInt(tokens[0]), 0);
                time.add(timestamp);
                for (int i = 0; i < buffers.size(); i++) {
                    String valueText = tokens[i + 1];
                    Double value;
                    if ("nan".equals(valueText) || "-nan".equals(valueText)) {
                        value = Double.NaN;
                    } else {
                        value = Double.parseDouble(valueText);
                    }
                    buffers.get(i).addDouble(value);
                }
            }
            Map values = new HashMap<>();
            for (int i = 0; i < names.size(); i++) {
                values.put(names.get(i), buffers.get(i));
            }
            
            return new TimeSeriesMulti(time, values);
        } catch(IOException ex) {
            throw new RuntimeException("Couldn't parse file", ex);
        }
    }
}




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