/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2010 University of Edinburgh

This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.

This library 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
Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
***********************************************************************/



#include "MockHypothesis.h"

#include <boost/test/unit_test.hpp>

#include "TranslationOption.h"

using namespace Moses;
using namespace std;

namespace MosesTest
{


MockHypothesisGuard::MockHypothesisGuard(
  const string& sourceSentence,
  const vector<Alignment>& alignments,
  const vector<string>& targetSegments)
  : m_initialTransOpt(),
    m_wp("WordPenalty"),
    m_uwp("UnknownWordPenalty"),
    m_dist("Distortion"),
    m_manager(m_sentence)
{
  BOOST_CHECK_EQUAL(alignments.size(), targetSegments.size());

  std::vector<Moses::FactorType> factors;
  factors.push_back(0);

  stringstream in(sourceSentence + "\n");
  m_sentence.Read(in,factors);


  //Initial empty hypothesis
  m_manager.ResetSentenceStats(m_sentence);
  m_hypothesis = Hypothesis::Create(m_manager, m_sentence, m_initialTransOpt);

  //create the chain
  vector<Alignment>::const_iterator ai = alignments.begin();
  vector<string>::const_iterator ti = targetSegments.begin();
  for (; ti != targetSegments.end() && ai != alignments.end(); ++ti,++ai) {
    Hypothesis* prevHypo = m_hypothesis;
    WordsRange wordsRange(ai->first,ai->second);
    m_targetPhrases.push_back(TargetPhrase(NULL));
    // m_targetPhrases.back().CreateFromString(Input, factors, *ti, "|", NULL);
    m_targetPhrases.back().CreateFromString(Input, factors, *ti, NULL);
    m_toptions.push_back(new TranslationOption
                         (wordsRange,m_targetPhrases.back()));
    m_hypothesis =  Hypothesis::Create(*prevHypo,*m_toptions.back());
  }


}

MockHypothesisGuard::~MockHypothesisGuard()
{
  RemoveAllInColl(m_toptions);
  while (m_hypothesis) {
    Hypothesis* prevHypo = const_cast<Hypothesis*>(m_hypothesis->GetPrevHypo());
    delete m_hypothesis;
    m_hypothesis = prevHypo;
  }
}

HypothesisFixture::HypothesisFixture()
{
  string source = "je ne sais pas . ";
  vector<string> target;
  vector<Alignment> alignments;
  m_empty.reset(new MockHypothesisGuard(source,alignments,target));
  target.push_back("i");
  target.push_back("do not");
  alignments.push_back(Alignment(0,0));
  alignments.push_back(Alignment(3,3));
  m_partial.reset(new MockHypothesisGuard(source,alignments,target));
  target.push_back("know");
  target.push_back(".");
  alignments.push_back(Alignment(1,2));
  alignments.push_back(Alignment(4,4));
  m_full.reset(new MockHypothesisGuard(source,alignments,target));
}

}