#include <iostream>
#include <fstream>
#include <valarray>
#include <gtest/gtest.h>

#include "tdict.h"
#include "scorer.h"
#include "aer_scorer.h"

using namespace std;

class ScorerTest : public testing::Test {
 protected:
   virtual void SetUp() {
     refs0.resize(4);
     refs1.resize(4);
     TD::ConvertSentence("export of high-tech products in guangdong in first two months this year reached 3.76 billion us dollars", &refs0[0]);
     TD::ConvertSentence("guangdong's export of new high technology products amounts to us $ 3.76 billion in first two months of this year", &refs0[1]);
     TD::ConvertSentence("guangdong exports us $ 3.76 billion worth of high technology products in the first two months of this year", &refs0[2]);
     TD::ConvertSentence("in the first 2 months this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars .", &refs0[3]);
     TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter chen ji ) the latest statistics show that from january through february this year , the export of high-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% over the same period last year and accounted for 25.5 \% of the total export in the province .", &refs1[0]);
     TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter : chen ji ) -- latest statistic indicates that guangdong's export of new high technology products amounts to us $ 3.76 billion , up 34.8 \% over corresponding period and accounts for 25.5 \% of the total exports of the province .", &refs1[1]);
     TD::ConvertSentence("xinhua news agency report of march 16 from guangzhou ( by staff reporter chen ji ) - latest statistics indicate guangdong province exported us $ 3.76 billion worth of high technology products , up 34.8 percent from the same period last year , which account for 25.5 percent of the total exports of the province .", &refs1[2]);
     TD::ConvertSentence("guangdong , march 16 , ( xinhua ) -- ( chen ji reports ) as the newest statistics shows , in january and feberuary this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% than last year , making up 25.5 \% of the province's total .", &refs1[3]);
     TD::ConvertSentence("one guangdong province will next export us $ 3.76 high-tech product two months first this year 3.76 billion us dollars", &hyp1);
     TD::ConvertSentence("xinhua news agency , guangzhou , 16th of march ( reporter chen ) -- latest statistics suggest that guangdong exports new advanced technology product totals $ 3.76 million , 34.8 percent last corresponding period and accounts for 25.5 percent of the total export province .", &hyp2);
   }

   virtual void TearDown() { }

   vector<vector<WordID> > refs0;
   vector<vector<WordID> > refs1;
   vector<WordID> hyp1;
   vector<WordID> hyp2;
};

TEST_F(ScorerTest, TestCreateFromFiles) {
  vector<string> files;
  files.push_back("test_data/re.txt.0");
  files.push_back("test_data/re.txt.1");
  files.push_back("test_data/re.txt.2");
  files.push_back("test_data/re.txt.3");
  DocScorer ds(IBM_BLEU, files);
}

TEST_F(ScorerTest, TestBLEUScorer) {
  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs0);
  SentenceScorer* s2 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs1);
  Score* b1 = s1->ScoreCandidate(hyp1);
  EXPECT_FLOAT_EQ(0.23185077, b1->ComputeScore());
  Score* b2 = s2->ScoreCandidate(hyp2);
  EXPECT_FLOAT_EQ(0.38101241, b2->ComputeScore());
  b1->PlusEquals(*b2);
  EXPECT_FLOAT_EQ(0.348854, b1->ComputeScore());
  EXPECT_FALSE(b1->IsAdditiveIdentity());
  string details;
  b1->ScoreDetails(&details);
  EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details);
  cerr << details << endl;
  string enc;
  b1->Encode(&enc);
  Score* b3 = SentenceScorer::CreateScoreFromString(IBM_BLEU, enc);
  details.clear();
  cerr << "Encoded BLEU score size: " << enc.size() << endl;
  b3->ScoreDetails(&details);
  cerr << details << endl;
  EXPECT_FALSE(b3->IsAdditiveIdentity());
  EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details);
  Score* bz = b3->GetZero();
  EXPECT_TRUE(bz->IsAdditiveIdentity());
  delete bz;
  delete b1;
  delete s1;
  delete b2;
  delete s2;
}

TEST_F(ScorerTest, TestTERScorer) {
  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(TER, refs0);
  SentenceScorer* s2 = SentenceScorer::CreateSentenceScorer(TER, refs1);
  string details;
  Score* t1 = s1->ScoreCandidate(hyp1);
  t1->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  cerr << t1->ComputeScore() << endl;
  Score* t2 = s2->ScoreCandidate(hyp2);
  t2->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  cerr << t2->ComputeScore() << endl;
  t1->PlusEquals(*t2);
  cerr << t1->ComputeScore() << endl;
  t1->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  EXPECT_EQ("TER = 44.16,   4|  8| 16|  6 (len=77)", details);
  string enc;
  t1->Encode(&enc);
  Score* t3 = SentenceScorer::CreateScoreFromString(TER, enc);
  details.clear();
  t3->ScoreDetails(&details);
  EXPECT_EQ("TER = 44.16,   4|  8| 16|  6 (len=77)", details);
  EXPECT_FALSE(t3->IsAdditiveIdentity());
  Score* tz = t3->GetZero();
  EXPECT_TRUE(tz->IsAdditiveIdentity());
  delete tz;
  delete t3;
  delete t1;
  delete s1;
  delete t2;
  delete s2;
}

TEST_F(ScorerTest, TestTERScorerSimple) {
  vector<vector<WordID> > ref(1);
  TD::ConvertSentence("1 2 3 A B", &ref[0]);
  vector<WordID> hyp;
  TD::ConvertSentence("A B 1 2 3", &hyp);
  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(TER, ref);
  string details;
  Score* t1 = s1->ScoreCandidate(hyp);
  t1->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  delete t1;
  delete s1;
}

TEST_F(ScorerTest, TestSERScorerSimple) {
  vector<vector<WordID> > ref(1);
  TD::ConvertSentence("A B C D", &ref[0]);
  vector<WordID> hyp1;
  TD::ConvertSentence("A B C", &hyp1);
  vector<WordID> hyp2;
  TD::ConvertSentence("A B C D", &hyp2);
  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(SER, ref);
  string details;
  Score* t1 = s1->ScoreCandidate(hyp1);
  t1->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  Score* t2 = s1->ScoreCandidate(hyp2);
  t2->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  t2->PlusEquals(*t1);
  t2->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  delete t1;
  delete t2;
  delete s1;
}

TEST_F(ScorerTest, TestCombiScorer) {
  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(BLEU_minus_TER_over_2, refs0);
  string details;
  Score* t1 = s1->ScoreCandidate(hyp1);
  t1->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  cerr << t1->ComputeScore() << endl;
  string enc;
  t1->Encode(&enc);
  Score* t2 = SentenceScorer::CreateScoreFromString(BLEU_minus_TER_over_2, enc);
  details.clear();
  t2->ScoreDetails(&details);
  cerr << "DETAILS: " << details << endl;
  Score* cz = t2->GetZero();
  EXPECT_FALSE(t2->IsAdditiveIdentity());
  EXPECT_TRUE(cz->IsAdditiveIdentity());
  cz->PlusEquals(*t2);
  EXPECT_FALSE(cz->IsAdditiveIdentity());
  string d2;
  cz->ScoreDetails(&d2);
  EXPECT_EQ(d2, details); 
  delete cz;
  delete t2;
  delete t1;
}

TEST_F(ScorerTest, AERTest) {
  vector<vector<WordID> > refs0(1);
  TD::ConvertSentence("0-0 2-1 1-2 3-3", &refs0[0]);

  vector<WordID> hyp;
  TD::ConvertSentence("0-0 1-1", &hyp);
  AERScorer* as = new AERScorer(refs0);
  Score* x = as->ScoreCandidate(hyp);
  string details;
  x->ScoreDetails(&details);
  cerr << details << endl;
  string enc;
  x->Encode(&enc);
  delete x;
  delete as;
  cerr << "ENC size: " << enc.size() << endl;
  Score* y = SentenceScorer::CreateScoreFromString(AER, enc);
  string d2;
  y->ScoreDetails(&d2);
  cerr << d2 << endl;
  delete y;
  EXPECT_EQ(d2, details);
}

int main(int argc, char **argv) {
  testing::InitGoogleTest(&argc, argv);
  return RUN_ALL_TESTS();
}