//
//  FuzzyMatchWrapper.cpp
//  moses
//
//  Created by Hieu Hoang on 26/07/2012.
//  Copyright 2012 __MyCompanyName__. All rights reserved.
//

#include <iostream>
#include "FuzzyMatchWrapper.h"
#include "SentenceAlignment.h"
#include "Match.h"
#include "create_xml.h"
#include "moses/Util.h"
#include "moses/StaticData.h"
#include "util/file.hh"

using namespace std;

namespace tmmt 
{

  FuzzyMatchWrapper::FuzzyMatchWrapper(const std::string &sourcePath, const std::string &targetPath, const std::string &alignmentPath)
  :basic_flag(false)
  ,lsed_flag(true)
  ,refined_flag(true)
  ,length_filter_flag(true)
  ,parse_flag(true)
  ,min_match(70)
  ,multiple_flag(true)
  ,multiple_slack(0)
  ,multiple_max(100)
  {
    cerr << "creating suffix array" << endl;
    suffixArray = new tmmt::SuffixArray( sourcePath );

    //cerr << "loading source data" << endl;
    //load_corpus(sourcePath, source);

    cerr << "loading target data" << endl;
    load_target(targetPath, targetAndAlignment);

    cerr << "loading alignment" << endl;
    load_alignment(alignmentPath, targetAndAlignment);

    // create suffix array
    //load_corpus(m_config[0], input);
    
    cerr << "loading completed" << endl;
  }

  string FuzzyMatchWrapper::Extract(long translationId, const string &dirNameStr)
  {
    const Moses::StaticData &staticData = Moses::StaticData::Instance();

    WordIndex wordIndex;

    string fuzzyMatchFile = ExtractTM(wordIndex, translationId, dirNameStr);
    
    // create extrac files
    create_xml(fuzzyMatchFile);

    // create phrase table with usual Moses scoring and consolidate programs
    string cmd;
    cmd = "LC_ALL=C sort " + fuzzyMatchFile + ".extract | gzip -c > "
    	+ fuzzyMatchFile + ".extract.sorted.gz";
    system(cmd.c_str());
    cmd = "LC_ALL=C sort " + fuzzyMatchFile + ".extract.inv | gzip -c > "
    	+ fuzzyMatchFile + ".extract.inv.sorted.gz";
    system(cmd.c_str());

#ifdef IS_XCODE
    cmd = "/Users/hieuhoang/unison/workspace/github/moses-smt/bin";
#elif IS_ECLIPSE
    cmd = "/home/hieu/workspace/github/moses-smt/bin";
#else
    cmd = staticData.GetBinDirectory();
#endif

    cmd += string("/../scripts/training/train-model.perl -dont-zip -first-step 6 -last-step 6 -f en -e fr -hierarchical ")
		    	+ " -extract-file " + fuzzyMatchFile + ".extract -lexical-file - -score-options \"--NoLex\" "
		    	+ " -phrase-translation-table " + fuzzyMatchFile + ".pt";
    system(cmd.c_str());


    return fuzzyMatchFile + ".pt.gz";
  }
  
  string FuzzyMatchWrapper::ExtractTM(WordIndex &wordIndex, long translationId, const string &dirNameStr)
  {
    const std::vector< std::vector< WORD_ID > > &source = suffixArray->GetCorpus();

    string inputPath = dirNameStr + "/in";    
    string fuzzyMatchFile = dirNameStr + "/fuzzyMatchFile";
    ofstream fuzzyMatchStream(fuzzyMatchFile.c_str());
 
    vector< vector< WORD_ID > > input;
    load_corpus(inputPath, input);
    
    assert(input.size() == 1);
    size_t sentenceInd = 0;
    
		clock_t start_clock = clock();
		// if (i % 10 == 0) cerr << ".";
    
		// establish some basic statistics
    
		// int input_length = compute_length( input[i] );
		int input_length = input[sentenceInd].size();
		int best_cost = input_length * (100-min_match) / 100 + 1;
    
		int match_count = 0; // how many substring matches to be considered
		//cerr << endl << "sentence " << i << ", length " << input_length << ", best_cost " << best_cost << endl;
    
		// find match ranges in suffix array
		vector< vector< pair< SuffixArray::INDEX, SuffixArray::INDEX > > > match_range;
		for(size_t start=0;start<input[sentenceInd].size();start++) 
		{
			SuffixArray::INDEX prior_first_match = 0;
			SuffixArray::INDEX prior_last_match = suffixArray->GetSize()-1;
			vector< string > substring;
			bool stillMatched = true;
			vector< pair< SuffixArray::INDEX, SuffixArray::INDEX > > matchedAtThisStart;
			//cerr << "start: " << start;
			for(int word=start; stillMatched && word<input[sentenceInd].size(); word++)
			{
				substring.push_back( GetVocabulary().GetWord( input[sentenceInd][word] ) );
        
				// only look up, if needed (i.e. no unnecessary short gram lookups)
        //				if (! word-start+1 <= short_match_max_length( input_length ) )
				//			{
				SuffixArray::INDEX first_match, last_match;
				stillMatched = false;
				if (suffixArray->FindMatches( substring, first_match, last_match, prior_first_match, prior_last_match ) )
				{
					stillMatched = true;
					matchedAtThisStart.push_back( make_pair( first_match, last_match ) );
					//cerr << " (" << first_match << "," << last_match << ")";
					//cerr << " " << ( last_match - first_match + 1 );
					prior_first_match = first_match;
					prior_last_match = last_match;
				}
        //}
			}
			//cerr << endl;
			match_range.push_back( matchedAtThisStart );
		}
    
		clock_t clock_range = clock();
    
		map< int, vector< Match > > sentence_match;
		map< int, int > sentence_match_word_count;
    
		// go through all matches, longest first
		for(int length = input[sentenceInd].size(); length >= 1; length--)
		{
			// do not create matches, if these are handled by the short match function
			if (length <= short_match_max_length( input_length ) )
			{
				continue;
			}
      
			unsigned int count = 0;
			for(int start = 0; start <= input[sentenceInd].size() - length; start++)
			{
				if (match_range[start].size() >= length)
				{
					pair< SuffixArray::INDEX, SuffixArray::INDEX > &range = match_range[start][length-1];
					// cerr << " (" << range.first << "," << range.second << ")";
					count += range.second - range.first + 1;
          
					for(SuffixArray::INDEX i=range.first; i<=range.second; i++)
					{
						int position = suffixArray->GetPosition( i );
            
						// sentence length mismatch
						size_t sentence_id = suffixArray->GetSentence( position );
						int sentence_length = suffixArray->GetSentenceLength( sentence_id );
						int diff = abs( (int)sentence_length - (int)input_length );
						// cerr << endl << i << "\tsentence " << sentence_id << ", length " << sentence_length;
						//if (length <= 2 && input_length>=5 &&
						//		sentence_match.find( sentence_id ) == sentence_match.end())
						//	continue;
            
						if (diff > best_cost)
							continue;
            
						// compute minimal cost
						int start_pos = suffixArray->GetWordInSentence( position );
						int end_pos = start_pos + length-1;
						// cerr << endl << "\t" << start_pos << "-" << end_pos << " (" << sentence_length << ") vs. " 
						// << start << "-" << (start+length-1) << " (" << input_length << ")"; 
						// different number of prior words -> cost is at least diff
						int min_cost = abs( start - start_pos );
						
						// same number of words, but not sent. start -> cost is at least 1 
						if (start == start_pos && start>0)
							min_cost++;
            
						// different number of remaining words -> cost is at least diff
						min_cost += abs( ( sentence_length-1 - end_pos ) -
                            ( input_length-1 - (start+length-1) ) );
            
						// same number of words, but not sent. end -> cost is at least 1
						if ( sentence_length-1 - end_pos ==
                input_length-1 - (start+length-1)
                && end_pos != sentence_length-1 )
							min_cost++;
            
						// cerr << " -> min_cost " << min_cost;
						if (min_cost > best_cost)
							continue;
            
						// valid match
						match_count++;
            
						// compute maximal cost
						int max_cost = max( start, start_pos )
            + max( sentence_length-1 - end_pos,
                  input_length-1 - (start+length-1) );
						// cerr << ", max_cost " << max_cost;
						
						Match m = Match( start, start+length-1, 
                            start_pos, start_pos+length-1, 
                            min_cost, max_cost, 0);
						sentence_match[ sentence_id ].push_back( m );
						sentence_match_word_count[ sentence_id ] += length;
            
						if (max_cost < best_cost)
						{
							best_cost = max_cost;
							if (best_cost == 0) break;
						}
						//if (match_count >= MAX_MATCH_COUNT) break;
					}
				}
				// cerr << endl;
				if (best_cost == 0) break;
				//if (match_count >= MAX_MATCH_COUNT) break;
			}
			// cerr << count << " matches at length " << length << " in " << sentence_match.size() << " tm." << endl;
      
			if (best_cost == 0) break;
			//if (match_count >= MAX_MATCH_COUNT) break;
		}
		cerr << match_count << " matches in " << sentence_match.size() << " sentences." << endl;
    
		clock_t clock_matches = clock();
    
		// consider each sentence for which we have matches
		int old_best_cost = best_cost;
		int tm_count_word_match = 0;
		int tm_count_word_match2 = 0;
		int pruned_match_count = 0;
		if (short_match_max_length( input_length ))
		{
			init_short_matches(wordIndex, translationId, input[sentenceInd] );
		}
		vector< int > best_tm;
		typedef map< int, vector< Match > >::iterator I;
    
		clock_t clock_validation_sum = 0;
    
		for(I tm=sentence_match.begin(); tm!=sentence_match.end(); tm++)
		{
			int tmID = tm->first;
			int tm_length = suffixArray->GetSentenceLength(tmID);
			vector< Match > &match = tm->second;
			add_short_matches(wordIndex, translationId, match, source[tmID], input_length, best_cost );
      
			//cerr << "match in sentence " << tmID << ": " << match.size() << " [" << tm_length << "]" << endl;
      
			// quick look: how many words are matched
			int words_matched = 0;
			for(int m=0;m<match.size();m++) {
        
				if (match[m].min_cost <= best_cost) // makes no difference
					words_matched += match[m].input_end - match[m].input_start + 1;
			}
			if (max(input_length,tm_length) - words_matched > best_cost)
			{
				if (length_filter_flag) continue;
			}
			tm_count_word_match++;
      
			// prune, check again how many words are matched
			vector< Match > pruned = prune_matches( match, best_cost );
			words_matched = 0;
			for(int p=0;p<pruned.size();p++) {
				words_matched += pruned[p].input_end - pruned[p].input_start + 1;
			}
			if (max(input_length,tm_length) - words_matched > best_cost)
			{
				if (length_filter_flag) continue;
			}
			tm_count_word_match2++;
      
			pruned_match_count += pruned.size();
			int prior_best_cost = best_cost;
			int cost;
      
			clock_t clock_validation_start = clock();
			if (! parse_flag ||
			    pruned.size()>=10) // to prevent worst cases
			{
				string path;
				cost = sed( input[sentenceInd], source[tmID], path, false );
				if (cost <  best_cost) 
				{
					best_cost = cost;
				}
			}
      
			else
			{
				cost = parse_matches( pruned, input_length, tm_length, best_cost );
				if (prior_best_cost != best_cost)
				{
					best_tm.clear();
				}
			}
			clock_validation_sum += clock() - clock_validation_start;
			if (cost == best_cost)
			{
				best_tm.push_back( tmID );
			}
		}
		cerr << "reduced best cost from " << old_best_cost << " to " << best_cost << endl;
		cerr << "tm considered: " << sentence_match.size()
    << " word-matched: " << tm_count_word_match 
    << " word-matched2: " << tm_count_word_match2 
    << " best: " << best_tm.size() << endl;
    
		cerr << "pruned matches: " << ((float)pruned_match_count/(float)tm_count_word_match2) << endl;
    
    // create xml and extract files
    string inputStr, sourceStr;
    for (size_t pos = 0; pos < input_length; ++pos) {
      inputStr += GetVocabulary().GetWord(input[sentenceInd][pos]) + " ";
    }
    
		// do not try to find the best ... report multiple matches
		if (multiple_flag) {
			int input_letter_length = compute_length( input[sentenceInd] );
			for(int si=0; si<best_tm.size(); si++) {
				int s = best_tm[si];
				string path;
				unsigned int letter_cost = sed( input[sentenceInd], source[s], path, true );
				// do not report multiple identical sentences, but just their count
				//cout << sentenceInd << " "; // sentence number
				//cout << letter_cost << "/" << input_letter_length << " ";
				//cout << "(" << best_cost <<"/" << input_length <<") ";
				//cout << "||| " << s << " ||| " << path << endl;
        
        const vector<WORD_ID> &sourceSentence = source[s];
        vector<SentenceAlignment> &targets = targetAndAlignment[s];
        create_extract(sentenceInd, best_cost, sourceSentence, targets, inputStr, path, fuzzyMatchStream);
        
			}
		} // if (multiple_flag)
    else {
      
      // find the best matches according to letter sed
      string best_path = "";
      int best_match = -1;
      int best_letter_cost;
      if (lsed_flag) {
        best_letter_cost = compute_length( input[sentenceInd] ) * min_match / 100 + 1;
        for(int si=0; si<best_tm.size(); si++)
        {
          int s = best_tm[si];
          string path;
          unsigned int letter_cost = sed( input[sentenceInd], source[s], path, true );
          if (letter_cost < best_letter_cost)
          {
            best_letter_cost = letter_cost;
            best_path = path;
            best_match = s;
          }
        }
      }
      // if letter sed turned off, just compute path for first match
      else {
        if (best_tm.size() > 0) {
          string path;
          sed( input[sentenceInd], source[best_tm[0]], path, false );
          best_path = path;
          best_match = best_tm[0];
        }
      }
      cerr << "elapsed: " << (1000 * (clock()-start_clock) / CLOCKS_PER_SEC)
      << " ( range: " << (1000 * (clock_range-start_clock) / CLOCKS_PER_SEC)
      << " match: " << (1000 * (clock_matches-clock_range) / CLOCKS_PER_SEC)
      << " tm: " << (1000 * (clock()-clock_matches) / CLOCKS_PER_SEC)
      << " (validation: " << (1000 * (clock_validation_sum) / CLOCKS_PER_SEC) << ")"
      << " )" << endl;
      if (lsed_flag) {
        //cout << best_letter_cost << "/" << compute_length( input[sentenceInd] ) << " (";
      }
      //cout << best_cost <<"/" << input_length;
      if (lsed_flag) {
        //cout << ")";
      }
      //cout << " ||| " << best_match << " ||| " << best_path << endl;
      
      if (best_match == -1) {
        CHECK(source.size());
        best_match = 0;
      }
      
      // creat xml & extracts
      const vector<WORD_ID> &sourceSentence = source[best_match];
      vector<SentenceAlignment> &targets = targetAndAlignment[best_match];
      create_extract(sentenceInd, best_cost, sourceSentence, targets, inputStr, best_path, fuzzyMatchStream);
      
    } // else if (multiple_flag)
    
    fuzzyMatchStream.close();
    
    return fuzzyMatchFile;
  }

  void FuzzyMatchWrapper::load_corpus( const std::string &fileName, vector< vector< WORD_ID > > &corpus )
  { // source 
    ifstream fileStream;
    fileStream.open(fileName.c_str());
    if (!fileStream) {
      cerr << "file not found: " << fileName << endl;
      exit(1);
    }
    cerr << "loading " << fileName << endl;
    
    istream *fileStreamP = &fileStream;
    
    char line[LINE_MAX_LENGTH];
    while(true)
    {
      SAFE_GETLINE((*fileStreamP), line, LINE_MAX_LENGTH, '\n');
      if (fileStreamP->eof()) break;
      corpus.push_back( GetVocabulary().Tokenize( line ) );
    }
  }
  
  void FuzzyMatchWrapper::load_target(const std::string &fileName, vector< vector< SentenceAlignment > > &corpus)
  { 
    ifstream fileStream;
    fileStream.open(fileName.c_str());
    if (!fileStream) {
      cerr << "file not found: " << fileName << endl;
      exit(1);
    }
    cerr << "loading " << fileName << endl;
    
    istream *fileStreamP = &fileStream;
    
    WORD_ID delimiter = GetVocabulary().StoreIfNew("|||");
    
    int lineNum = 0;
    char line[LINE_MAX_LENGTH];
    while(true)
    {
      SAFE_GETLINE((*fileStreamP), line, LINE_MAX_LENGTH, '\n');
      if (fileStreamP->eof()) break;
      
      vector<WORD_ID> toks = GetVocabulary().Tokenize( line );
      
      corpus.push_back(vector< SentenceAlignment >());
      vector< SentenceAlignment > &vec = corpus.back();
      
      vec.push_back(SentenceAlignment());
      SentenceAlignment *sentence = &vec.back();
      
      const WORD &countStr = GetVocabulary().GetWord(toks[0]);
      sentence->count = atoi(countStr.c_str());
      
      for (size_t i = 1; i < toks.size(); ++i) {
        WORD_ID wordId = toks[i];
        
        if (wordId == delimiter) {
          // target and alignments can have multiple sentences.
          vec.push_back(SentenceAlignment());
          sentence = &vec.back();
          
          // count
          ++i;
          
          const WORD &countStr = GetVocabulary().GetWord(toks[i]);
          sentence->count = atoi(countStr.c_str());
        }
        else {
          // just a normal word, add
          sentence->target.push_back(wordId);
        }
      }
      
      ++lineNum;
      
    }
    
  }
  
  
  void FuzzyMatchWrapper::load_alignment(const std::string &fileName, vector< vector< SentenceAlignment > > &corpus )
  { 
    ifstream fileStream;
    fileStream.open(fileName.c_str());
    if (!fileStream) {
      cerr << "file not found: " << fileName << endl;
      exit(1);
    }
    cerr << "loading " << fileName << endl;
    
    istream *fileStreamP = &fileStream;
    
    string delimiter = "|||";
    
    int lineNum = 0;
    char line[LINE_MAX_LENGTH];
    while(true)
    {
      SAFE_GETLINE((*fileStreamP), line, LINE_MAX_LENGTH, '\n');
      if (fileStreamP->eof()) break;
      
      vector< SentenceAlignment > &vec = corpus[lineNum];
      size_t targetInd = 0;
      SentenceAlignment *sentence = &vec[targetInd];
      
      vector<string> toks = Moses::Tokenize(line);
      
      for (size_t i = 0; i < toks.size(); ++i) {
        string &tok = toks[i];
        
        if (tok == delimiter) {
          // target and alignments can have multiple sentences.
          ++targetInd;
          sentence = &vec[targetInd];
          
          ++i;
        }
        else {
          // just a normal alignment, add
          vector<int> alignPoint = Moses::Tokenize<int>(tok, "-");
          assert(alignPoint.size() == 2);
          sentence->alignment.push_back(pair<int,int>(alignPoint[0], alignPoint[1]));
        }
      }
      
      ++lineNum;
      
    }
  }
  
  bool FuzzyMatchWrapper::GetLSEDCache(const std::pair< WORD_ID, WORD_ID > &key, unsigned int &value) const
  {
    boost::shared_lock<boost::shared_mutex> read_lock(m_accessLock);
    map< pair< WORD_ID, WORD_ID >, unsigned int >::const_iterator lookup = m_lsed.find( key );
    if (lookup != m_lsed.end()) {
      value = lookup->second;
      return true;
    }

    return false;
  }

  void FuzzyMatchWrapper::SetLSEDCache(const std::pair< WORD_ID, WORD_ID > &key, const unsigned int &value)
  {
    boost::unique_lock<boost::shared_mutex> lock(m_accessLock);
    m_lsed[ key ] = value;
  }

/* Letter string edit distance, e.g. sub 'their' to 'there' costs 2 */

unsigned int FuzzyMatchWrapper::letter_sed( WORD_ID aIdx, WORD_ID bIdx )
{
	// check if already computed -> lookup in cache
	pair< WORD_ID, WORD_ID > pIdx = make_pair( aIdx, bIdx );
	unsigned int value;
	bool ret = GetLSEDCache(pIdx, value);
	if (ret) {
		return value;
	}
  
	// get surface strings for word indices
	const string &a = GetVocabulary().GetWord( aIdx );
	const string &b = GetVocabulary().GetWord( bIdx );
  
	// initialize cost matrix
	unsigned int **cost  = (unsigned int**) calloc( sizeof( unsigned int*  ), a.size()+1 );
	for( unsigned int i=0; i<=a.size(); i++ ) {
		cost[i] = (unsigned int*) calloc( sizeof(unsigned int), b.size()+1 );
		cost[i][0] = i;
	}
	for( unsigned int j=0; j<=b.size(); j++ ) {
		cost[0][j] = j;
	}
  
	// core string edit distance loop
	for( unsigned int i=1; i<=a.size(); i++ ) {
		for( unsigned int j=1; j<=b.size(); j++ ) {
      
			unsigned int ins = cost[i-1][j] + 1;
			unsigned int del = cost[i][j-1] + 1;
			bool match = (a.substr(i-1,1).compare( b.substr(j-1,1) ) == 0);
			unsigned int diag = cost[i-1][j-1] + (match ? 0 : 1);
      
			unsigned int min = (ins < del) ? ins : del;
			min = (diag < min) ? diag : min;
      
			cost[i][j] = min;
		}
	}
  
	// clear out memory
	unsigned int final = cost[a.size()][b.size()];
	for( unsigned int i=0; i<=a.size(); i++ ) {
		free( cost[i] );
	}
	free( cost );
  
	// cache and return result
	SetLSEDCache(pIdx, final);
	return final;
}
  
  /* string edit distance implementation */
  
  unsigned int FuzzyMatchWrapper::sed( const vector< WORD_ID > &a, const vector< WORD_ID > &b, string &best_path, bool use_letter_sed ) {

    // initialize cost and path matrices
    unsigned int **cost  = (unsigned int**) calloc( sizeof( unsigned int* ), a.size()+1 );
    char **path = (char**) calloc( sizeof( char* ), a.size()+1 );

    for( unsigned int i=0; i<=a.size(); i++ ) {
      cost[i] = (unsigned int*) calloc( sizeof(unsigned int), b.size()+1 );
      path[i] = (char*) calloc( sizeof(char), b.size()+1 );
      if (i>0)
      {
        cost[i][0] = cost[i-1][0];
        if (use_letter_sed)
        {
          cost[i][0] += GetVocabulary().GetWord( a[i-1] ).size();
        }
        else
        {
          cost[i][0]++;
        }
      }
      else
      {
        cost[i][0] = 0;
      }
      path[i][0] = 'I';
    }

    for( unsigned int j=0; j<=b.size(); j++ ) {
      if (j>0)
      {
        cost[0][j] = cost[0][j-1];
        if (use_letter_sed)
        {
          cost[0][j] +=	GetVocabulary().GetWord( b[j-1] ).size();
        }
        else
        {
          cost[0][j]++;
        }
      }
      else
      {
        cost[0][j] = 0;
      }
      path[0][j] = 'D';
    }

    // core string edit distance algorithm
    for( unsigned int i=1; i<=a.size(); i++ ) {
      for( unsigned int j=1; j<=b.size(); j++ ) {
        unsigned int ins = cost[i-1][j];
        unsigned int del = cost[i][j-1];
        unsigned int match;
        if (use_letter_sed)
        {
          ins += GetVocabulary().GetWord( a[i-1] ).size();
          del += GetVocabulary().GetWord( b[j-1] ).size();
          match = letter_sed( a[i-1], b[j-1] );
        }
        else
        {
          ins++;
          del++;
          match = ( a[i-1] == b[j-1] ) ? 0 : 1;
        }
        unsigned int diag = cost[i-1][j-1] + match;

        char action = (ins < del) ? 'I' : 'D';
        unsigned int min = (ins < del) ? ins : del;
        if (diag < min)
        {
          action = (match>0) ? 'S' : 'M';
          min = diag;
        }

        cost[i][j] = min;
        path[i][j] = action;
      }
    }

    // construct string for best path
    unsigned int i = a.size();
    unsigned int j = b.size();
    best_path = "";
    while( i>0 || j>0 )
    {
      best_path = path[i][j] + best_path;
      if (path[i][j] == 'I')
      {
        i--;
      }
      else if (path[i][j] == 'D')
      {
        j--;
      }
      else
      {
        i--;
        j--;
      }
    }


    // clear out memory
    unsigned int final = cost[a.size()][b.size()];

    for( unsigned int i=0; i<=a.size(); i++ ) {
      free( cost[i] );
      free( path[i] );
    }
    free( cost );
    free( path );

    // return result
    return final;
  }

/* utlility function: compute length of sentence in characters 
 (spaces do not count) */

unsigned int FuzzyMatchWrapper::compute_length( const vector< WORD_ID > &sentence )
{
	unsigned int length = 0; for( unsigned int i=0; i<sentence.size(); i++ )
	{
		length += GetVocabulary().GetWord( sentence[i] ).size();
	}
	return length;
}

/* brute force method: compare input to all corpus sentences */

  int FuzzyMatchWrapper::basic_fuzzy_match( vector< vector< WORD_ID > > source, 
                      vector< vector< WORD_ID > > input ) 
{
	// go through input set...
	for(unsigned int i=0;i<input.size();i++)
	{
		bool use_letter_sed = false;
    
		// compute sentence length and worst allowed cost
		unsigned int input_length;
		if (use_letter_sed)
		{
			input_length = compute_length( input[i] );
		}
		else
		{
			input_length = input[i].size();
		}
		unsigned int best_cost = input_length * (100-min_match) / 100 + 2;
		string best_path = "";
		int best_match = -1;
    
		// go through all corpus sentences
		for(unsigned int s=0;s<source.size();s++)
		{
			int source_length;
			if (use_letter_sed)
			{
				source_length = compute_length( source[s] );
			}
			else
			{
				source_length = source[s].size();
			}
			int diff = abs((int)source_length - (int)input_length);
			if (length_filter_flag && (diff >= best_cost))
			{
				continue;
			}
      
			// compute string edit distance
			string path;
			unsigned int cost = sed( input[i], source[s], path, use_letter_sed );
      
			// update if new best
			if (cost < best_cost) 
			{
				best_cost = cost;
				best_path = path;
				best_match = s;
			}
		}
		//cout << best_cost << " ||| " << best_match << " ||| " << best_path << endl;
	}
}

/* definition of short matches
 very short n-gram matches (1-grams) will not be looked up in
 the suffix array, since there are too many matches
 and for longer sentences, at least one 2-gram match must occur */

int FuzzyMatchWrapper::short_match_max_length( int input_length )
{
  if ( ! refined_flag ) 
    return 0;
  if ( input_length >= 5 )
    return 1;
  return 0;	
}


/* if we have non-short matches in a sentence, we need to
 take a closer look at it. 
 this function creates a hash map for all input words and their positions
 (to be used by the next function) 
 (done here, because this has be done only once for an input sentence) */

void FuzzyMatchWrapper::init_short_matches(WordIndex &wordIndex, long translationId, const vector< WORD_ID > &input )
{
	int max_length = short_match_max_length( input.size() );
	if (max_length == 0)
		return;
  
	wordIndex.clear();
	
	// store input words and their positions in hash map
	for(int i=0; i<input.size(); i++)
	{
		if (wordIndex.find( input[i] ) == wordIndex.end())
		{
			vector< int > position_vector;
			wordIndex[ input[i] ] = position_vector;
		}
		wordIndex[ input[i] ].push_back( i );
	}	
}

/* add all short matches to list of matches for a sentence */

void FuzzyMatchWrapper::add_short_matches(WordIndex &wordIndex, long translationId, vector< Match > &match, const vector< WORD_ID > &tm, int input_length, int best_cost )
{	
	int max_length = short_match_max_length( input_length );
	if (max_length == 0)
		return;
  
	int tm_length = tm.size();
	map< WORD_ID,vector< int > >::iterator input_word_hit;
	for(int t_pos=0; t_pos<tm.size(); t_pos++)
	{
		input_word_hit = wordIndex.find( tm[t_pos] );
		if (input_word_hit != wordIndex.end())
		{
			vector< int > &position_vector = input_word_hit->second;
			for(int j=0; j<position_vector.size(); j++)
			{
				int &i_pos = position_vector[j];
        
				// before match
				int max_cost = max( i_pos , t_pos );
				int min_cost = abs( i_pos - t_pos );
				if ( i_pos>0 && i_pos == t_pos ) 
					min_cost++;
				
				// after match
				max_cost += max( (input_length-i_pos) , (tm_length-t_pos));
				min_cost += abs( (input_length-i_pos) - (tm_length-t_pos));
				if ( i_pos != input_length-1 && (input_length-i_pos) == (tm_length-t_pos))
					min_cost++;
				
				if (min_cost <= best_cost)
				{
					Match new_match( i_pos,i_pos, t_pos,t_pos, min_cost,max_cost,0 );
					match.push_back( new_match );
				}
			}
		} 
	}
}

/* remove matches that are subsumed by a larger match */

vector< Match > FuzzyMatchWrapper::prune_matches( const vector< Match > &match, int best_cost )
{
	//cerr << "\tpruning";
	vector< Match > pruned;
	for(int i=match.size()-1; i>=0; i--)
	{
		//cerr << " (" << match[i].input_start << "," << match[i].input_end 
		//		 << " ; " << match[i].tm_start << "," << match[i].tm_end 
		//		 << " * " << match[i].min_cost << ")";
    
		//if (match[i].min_cost > best_cost)
		//	continue;
    
		bool subsumed = false;
		for(int j=match.size()-1; j>=0; j--)
		{
			if (i!=j // do not compare match with itself
					&& ( match[i].input_end - match[i].input_start <= 
              match[j].input_end - match[j].input_start ) // i shorter than j
					&& ((match[i].input_start == match[j].input_start &&
							 match[i].tm_start    == match[j].tm_start	) ||
							(match[i].input_end   == match[j].input_end &&
							 match[i].tm_end      == match[j].tm_end) ) )
			{
				subsumed = true;
			}
		}
		if (! subsumed && match[i].min_cost <= best_cost)
		{
			//cerr << "*";
			pruned.push_back( match[i] );
		}
	}
	//cerr << endl;
	return pruned;
}

/* A* parsing method to compute string edit distance */

int FuzzyMatchWrapper::parse_matches( vector< Match > &match, int input_length, int tm_length, int &best_cost )
{	
	// cerr << "sentence has " << match.size() << " matches, best cost: " << best_cost << ", lengths input: " << input_length << " tm: " << tm_length << endl;
  
	if (match.size() == 1)
		return match[0].max_cost;
	if (match.size() == 0)
		return input_length+tm_length;
	
	int this_best_cost = input_length + tm_length;
	for(int i=0;i<match.size();i++)
	{
		this_best_cost = min( this_best_cost, match[i].max_cost );
	}
	// cerr << "\tthis best cost: " << this_best_cost << endl;
	
	// bottom up combination of spans
	vector< vector< Match > > multi_match;
	multi_match.push_back( match );
	
	int match_level = 1;
	while(multi_match[ match_level-1 ].size()>0)
	{
		// init vector
		vector< Match > empty;
		multi_match.push_back( empty );
    
		for(int first_level = 0; first_level <= (match_level-1)/2; first_level++)
		{
			int second_level = match_level - first_level -1;
			//cerr << "\tcombining level " << first_level << " and " << second_level << endl;
			
			vector< Match > &first_match  = multi_match[ first_level ];
			vector< Match > &second_match = multi_match[ second_level ];
      
			for(int i1 = 0; i1 < first_match.size(); i1++) {
				for(int i2 = 0; i2 < second_match.size(); i2++) {
          
					// do not combine the same pair twice
					if (first_level == second_level && i2 <= i1) 
					{
						continue;
					}
          
					// get sorted matches (first is before second)
					Match *first, *second;
					if (first_match[i1].input_start < second_match[i2].input_start )
					{
						first = &first_match[i1];
						second = &second_match[i2];
					}
					else
					{
						second = &first_match[i1];
						first = &second_match[i2];
					}
          
					//cerr << "\tcombining " 
					//		 << "(" << first->input_start << "," << first->input_end << "), "
					//		 << first->tm_start << " [" << first->internal_cost << "]"
					//		 << " with "
					//		 << "(" << second->input_start << "," << second->input_end << "), "
					//		 << second->tm_start<< " [" << second->internal_cost << "]"
					//		 << endl;
          
					// do not process overlapping matches
					if (first->input_end >= second->input_start) 
					{
						continue;
					}
          
					// no overlap / mismatch in tm
					if (first->tm_end >= second->tm_start)
					{
						continue;
					}
          
					// compute cost
					int min_cost = 0;
					int max_cost = 0;
          
					// initial
					min_cost += abs( first->input_start - first->tm_start );
					max_cost += max( first->input_start, first->tm_start );				 
          
					// same number of words, but not sent. start -> cost is at least 1 
					if (first->input_start == first->tm_start && first->input_start > 0)
					{
						min_cost++;
					}
          
					// in-between
					int skipped_words = second->input_start - first->input_end -1;
					int skipped_words_tm = second->tm_start - first->tm_end -1;
					int internal_cost = max( skipped_words, skipped_words_tm );
					internal_cost += first->internal_cost + second->internal_cost;
					min_cost += internal_cost;
					max_cost += internal_cost;
					
					// final
					min_cost += abs( (tm_length-1 - second->tm_end) -
                          (input_length-1 - second->input_end) );
					max_cost += max( (tm_length-1 - second->tm_end),
                          (input_length-1 - second->input_end) );
          
					// same number of words, but not sent. end -> cost is at least 1
					if ( ( input_length-1 - second->input_end 
                == tm_length-1 - second->tm_end )
              && input_length-1 != second->input_end )
					{
						min_cost++;
					}
          
					// cerr << "\tcost: " << min_cost << "-" << max_cost << endl;
          
					// if worst than best cost, forget it
					if (min_cost > best_cost)					
					{
						continue;
					}
					
					// add match
					Match new_match( first->input_start,
                          second->input_end,
                          first->tm_start,
                          second->tm_end,
                          min_cost,
                          max_cost,
                          internal_cost);
					multi_match[ match_level ].push_back( new_match );
					// cerr << "\tstored\n";
					
					// possibly updating this_best_cost
					if (max_cost < this_best_cost)
					{
						// cerr << "\tupdating this best cost to " << max_cost << "\n";
						this_best_cost = max_cost;
            
						// possibly updating best_cost
						if (max_cost < best_cost)
						{
							// cerr << "\tupdating best cost to " << max_cost << "\n";
							best_cost = max_cost;
						}					
					}
				}
			}
		}
		match_level++;
	}
	return this_best_cost;
}


void FuzzyMatchWrapper::create_extract(int sentenceInd, int cost, const vector< WORD_ID > &sourceSentence, const vector<SentenceAlignment> &targets, const string &inputStr, const string  &path, ofstream &outputFile)
{
  string sourceStr;
  for (size_t pos = 0; pos < sourceSentence.size(); ++pos) {
    WORD_ID wordId = sourceSentence[pos];
    sourceStr += GetVocabulary().GetWord(wordId) + " ";
  }
    
  for (size_t targetInd = 0; targetInd < targets.size(); ++targetInd) {
    const SentenceAlignment &sentenceAlignment = targets[targetInd]; 
    string targetStr = sentenceAlignment.getTargetString(GetVocabulary());
    string alignStr = sentenceAlignment.getAlignmentString();
    
    outputFile
    << sentenceInd << endl
    << cost << endl
    << sourceStr << endl 
    << inputStr << endl
    << targetStr << endl
    << alignStr << endl
    << path << endl
    << sentenceAlignment.count << endl;
    
  }
}

} // namespace