/*
 * Copyright (c) 2016-2022,  Regents of the University of California,
 *                           Colorado State University,
 *                           University Pierre & Marie Curie, Sorbonne University.
 *
 * This file is part of ndn-tools (Named Data Networking Essential Tools).
 * See AUTHORS.md for complete list of ndn-tools authors and contributors.
 *
 * ndn-tools 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.
 *
 * ndn-tools 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
 * ndn-tools, e.g., in COPYING.md file.  If not, see <http://www.gnu.org/licenses/>.
 *
 * See AUTHORS.md for complete list of ndn-cxx authors and contributors.
 *
 * @author Weiwei Liu
 */

#include "statistics-collector.hpp"

namespace ndn::chunks {

StatisticsCollector::StatisticsCollector(PipelineInterestsAdaptive& pipeline,
                                         std::ostream& osCwnd, std::ostream& osRtt)
  : m_osCwnd(osCwnd)
  , m_osRtt(osRtt)
{
  m_osCwnd << "time\tcwndsize\n";
  m_osRtt  << "segment\trtt\trttvar\tsrtt\trto\n";

  pipeline.afterCwndChange.connect([this] (time::nanoseconds timeElapsed, double cwnd) {
    m_osCwnd << timeElapsed.count() / 1e9 << '\t' << cwnd << '\n';
  });

  pipeline.afterRttMeasurement.connect([this] (const auto& sample) {
    m_osRtt << sample.segNum << '\t'
            << sample.rtt.count() / 1e6 << '\t'
            << sample.rttVar.count() / 1e6 << '\t'
            << sample.sRtt.count() / 1e6 << '\t'
            << sample.rto.count() / 1e6 << '\n';
  });
}

} // namespace ndn::chunks