/*
 Copyright (C) 2008 Srinivas Hasti

 This source code is release under the BSD License.

 This file is part of JQuantLib, a free-software/open-source library
 for financial quantitative analysts and developers - http://jquantlib.org/

 JQuantLib is free software: you can redistribute it and/or modify it
 under the terms of the JQuantLib license.  You should have received a
 copy of the license along with this program; if not, please email
 . The license is also available online at
 .

 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 license for more details.

 JQuantLib is based on QuantLib. http://quantlib.org/
 When applicable, the original copyright notice follows this notice.
 */

package org.jquantlib.indexes;

import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

import org.jquantlib.time.TimeSeries;
import org.jquantlib.util.Observable;
import org.jquantlib.util.ObservableValue;


public class IndexManager {

    private static final long serialVersionUID = -9204254124065694863L;
    
    private static Map> data;
    private static volatile IndexManager instance;

    
	//
    // static public methods
    //
    
    public static IndexManager getInstance() {
		if (instance == null) {
			synchronized (IndexManager.class) {
				if (instance == null) {
					instance = new IndexManager();
				}
			}
		}
		return instance;
	}


    //
    // private constructors
    //
    
    private IndexManager() {
	    this.data = new ConcurrentHashMap>();
	}

	public TimeSeries getHistory(final String name) {
		return data.get(name);
	}

	public void setHistory(final String name, final TimeSeries history) {
		data.put(name, history);
	}

	public void clearHistory(final String name) {
		data.remove(name);
	}

	public void clearHistories() {
		data.clear();
	}

	public Observable notifier(final String name) {
	    TimeSeries value = data.get(name);
		if (value == null){
			value = new TimeSeries(Double.class);
			data.put(name, value);
		}
		return new ObservableValue>(value);
	}

}