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// Copyright (C) 2003 - 2009 Philip Aston
// All rights reserved.
//
// This file is part of The Grinder software distribution. Refer to
// the file LICENSE which is part of The Grinder distribution for
// licensing details. The Grinder distribution is available on the
// Internet at http://grinder.sourceforge.net/
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
// COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
// HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
// STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
// OF THE POSSIBILITY OF SUCH DAMAGE.

package net.grinder.console.model;

import net.grinder.statistics.PeakStatisticExpression;
import net.grinder.statistics.StatisticsSet;
import net.grinder.statistics.StatisticsIndexMap;
import net.grinder.statistics.StatisticsSetFactory;
import net.grinder.util.ListenerSupport;


/**
 * Manages the cumulative statistics for a single test or set of tests.
 *
 * @author Philip Aston
 */
final class SampleAccumulator {

  private final ListenerSupport m_listeners =
    new ListenerSupport();

  private final PeakStatisticExpression m_peakTPSExpression;
  private final StatisticsIndexMap.LongIndex m_periodIndex;
  private final StatisticsSetFactory m_statisticsSetFactory;

  private final StatisticsSet m_cumulativeStatistics;
  private StatisticsSet m_intervalStatistics;
  private StatisticsSet m_lastSampleStatistics;

  public SampleAccumulator(PeakStatisticExpression peakTPSExpression,
                           StatisticsIndexMap.LongIndex periodIndex,
                           StatisticsSetFactory statisticsSetFactory) {

    m_peakTPSExpression = peakTPSExpression;
    m_periodIndex = periodIndex;
    m_statisticsSetFactory = statisticsSetFactory;

    m_cumulativeStatistics = m_statisticsSetFactory.create();
    m_intervalStatistics = m_statisticsSetFactory.create();
    m_lastSampleStatistics = m_statisticsSetFactory.create();
  }

  public void addSampleListener(SampleListener listener) {
    m_listeners.add(listener);
  }

  public void addIntervalStatistics(StatisticsSet report) {
    m_intervalStatistics.add(report);
  }

  public void addCumulativeStaticstics(StatisticsSet report) {
    m_cumulativeStatistics.add(report);
  }

  public void fireSample(long sampleInterval, long period) {

    m_intervalStatistics.setValue(m_periodIndex, sampleInterval);
    m_cumulativeStatistics.setValue(m_periodIndex, period);

    m_peakTPSExpression.update(m_intervalStatistics, m_cumulativeStatistics);

    m_listeners.apply(
      new ListenerSupport.Informer() {
        public void inform(SampleListener l) {
          l.update(m_intervalStatistics, m_cumulativeStatistics);
        }
      });

    m_lastSampleStatistics = m_intervalStatistics;

    // We create new statistics each time to ensure that
    // m_lastSampleStatistics is always valid and fixed.
    m_intervalStatistics = m_statisticsSetFactory.create();
  }

  public void zero() {
    m_intervalStatistics.reset();
    m_lastSampleStatistics.reset();
    m_cumulativeStatistics.reset();
  }

  public StatisticsSet getLastSampleStatistics() {
    return m_lastSampleStatistics;
  }

  public StatisticsSet getCumulativeStatistics() {
    return m_cumulativeStatistics;
  }
}