#!/bin/bash
  #
  # Copyright 2014  Gaurav Kumar.   Apache 2.0
  # The input is the Fisher Dataset which contains DISC1 and DISC2. (*.sph files)
  # In addition the transcripts are needed as well.
  # To be run from one directory above this script.
  
  # Note: when creating your own data preparation scripts, it's a good idea
  # to make sure that the speaker id (if present) is a prefix of the utterance
  # id, that the output scp file is sorted on utterance id, and that the
  # transcription file is exactly the same length as the scp file and is also
  # sorted on utterance id (missing transcriptions should be removed from the
  # scp file using e.g. scripts/filter_scp.pl)
  
  stage=0
  
  export LC_ALL=C
  
  
  if [ $# -lt 2 ]; then
     echo "Usage: $0 <LDC2010S01-location> <LDC2010T04-location>"
     echo "e.g.: $0 /home/mpost/data/LDC/LDC2010S01 /home/mpost/data/LDC/LDC2010T04"
     exit 1;
  fi
  
  cdir=`pwd`
  dir=`pwd`/data/local/data
  lmdir=`pwd`/data/local/nist_lm
  mkdir -p $dir $lmdir
  local=`pwd`/local
  utils=`pwd`/utils
  tmpdir=`pwd`/data/local/tmp
  mkdir -p $tmpdir
  
  . ./path.sh || exit 1; # Needed for KALDI_ROOT
  export PATH=$PATH:$KALDI_ROOT/tools/irstlm/bin
  sph2pipe=$KALDI_ROOT/tools/sph2pipe_v2.5/sph2pipe
  if [ ! -x $sph2pipe ]; then
     echo "Could not find (or execute) the sph2pipe program at $sph2pipe";
     exit 1;
  fi
  cd $dir
  
  # Make directory of links to the WSJ disks such as 11-13.1.  This relies on the command
  # line arguments being absolute pathnames.
  rm -r links/ 2>/dev/null
  mkdir links/
  ln -s $* links
  
  # Basic spot checks to see if we got the data that we needed
  if [ ! -d links/LDC2010S01 -o ! -d links/LDC2010T04 ];
  then
          echo "The speech and the data directories need to be named LDC2010S01 and LDC2010T04 respecti
  vely"
          exit 1;
  fi
  
  #if [ ! -d links/LDC2010S01/DISC1/data/speech -o ! -d links/LDC2010S01/DISC2/data/speech ];
  if [ ! -d links/LDC2010S01/data/speech ];
  then
          echo "Speech directories missing or not properly organised within the speech data dir"
          echo "Typical format is LDC2010S01/data/speech"
          exit 1;
  fi
  
  #Check the transcripts directories as well to see if they exist
  if [ ! -d links/LDC2010T04/fisher_spa_tr/data/transcripts ];
  then
          echo "Transcript directories missing or not properly organised"
          echo "Typical format is LDC2010T04/fisher_spa_tr/data/transcripts"
          exit 1;
  fi
  
  #speech_d1=$dir/links/LDC2010S01/DISC1/data/speech
  #speech_d2=$dir/links/LDC2010S01/DISC2/data/speech
  speech=$dir/links/LDC2010S01/data/speech
  transcripts=$dir/links/LDC2010T04/fisher_spa_tr/data/transcripts
  
  #fcount_d1=`find ${speech_d1} -iname '*.sph' | wc -l`
  #fcount_d2=`find ${speech_d2} -iname '*.sph' | wc -l`
  fcount_s=`find ${speech} -iname '*.sph' | wc -l`
  fcount_t=`find ${transcripts} -iname '*.tdf' | wc -l`
  #TODO:it seems like not all speech files have transcripts
  #Now check if we got all the files that we needed
  #if [ $fcount_d1 != 411 -o $fcount_d2 != 408 -o $fcount_t != 819 ];
  if [ $fcount_s != 819 -o $fcount_t != 819 ];
  then
          echo "Incorrect number of files in the data directories"
          echo "DISC1 and DISC2 should contain 411 and 408 .sph files respectively (Total = 819)"
          echo "The transcripts should contain 819 files"
          exit 1;
  fi
  
  if [ $stage -le 0 ]; then
    #Gather all the speech files together to create a file list
    #TODO: Train and test split might be required
    (
      #find $speech_d1 -iname '*.sph';
      #find $speech_d2 -iname '*.sph';
      find $speech -iname '*.sph';
    ) > $tmpdir/train_sph.flist
  
    #Get all the transcripts in one place
    find $transcripts -iname '*.tdf' > $tmpdir/train_transcripts.flist
  fi
  
  if [ $stage -le 1 ]; then
    $local/fsp_make_trans.pl $tmpdir
    mkdir -p $dir/train_all
    mv $tmpdir/reco2file_and_channel $dir/train_all/
  fi
  
  if [ $stage -le 2 ]; then
    sort $tmpdir/text.1 | grep -v '((' | \
    awk '{if (NF > 1){ print; }}' | \
    sed 's:<\s*[/]*\s*\s*for[ei][ei]g[nh]\s*\w*>::g' | \
    sed 's:<lname>\([^<]*\)<\/lname>:\1:g' | \
    sed 's:<lname[\/]*>::g' | \
    sed 's:<laugh>[^<]*<\/laugh>:[laughter]:g' | \
    sed 's:<\s*cough[\/]*>:[noise]:g' | \
    sed 's:<sneeze[\/]*>:[noise]:g' | \
    sed 's:<breath[\/]*>:[noise]:g' | \
    sed 's:<lipsmack[\/]*>:[noise]:g' | \
    sed 's:<background>[^<]*<\/background>:[noise]:g' | \
    sed -r 's:<[/]?background[/]?>:[noise]:g' | \
    #One more time to take care of nested stuff
    sed 's:<laugh>[^<]*<\/laugh>:[laughter]:g' | \
    sed -r 's:<[/]?laugh[/]?>:[laughter]:g' | \
    #now handle the exceptions, find a cleaner way to do this?
    sed 's:<foreign langenglish::g' | \
    sed 's:</foreign::g' | \
    sed -r 's:<[/]?foreing\s*\w*>::g' | \
    sed 's:</b::g' | \
    sed 's:<foreign langengullís>::g' | \
    sed 's:foreign>::g' | \
    sed 's:>::g' | \
    #How do you handle numbers?
    grep -v '()' | \
    #Now go after the non-printable characters and multiple spaces
    sed -r 's:¿::g'  | sed 's/^\s\s*|\s\s*$//g' | sed 's/\s\s*/ /g' > $tmpdir/text.2
    cp $tmpdir/text.2 $dir/train_all/text
  
    #Create segments file and utt2spk file
    ! cat $dir/train_all/text | perl -ane 'm:([^-]+)-([AB])-(\S+): || die "Bad line $_;"; print "$1-$2-$3 $1-$2
  "; ' > $dir/train_all/utt2spk \
    && echo "Error producing utt2spk file" && exit 1;
  
    cat $dir/train_all/text | perl -ane 'm:((\S+-[AB])-(\d+)-(\d+))\s: || die; $utt = $1; $reco = $2;
    $s = sprintf("%.2f", 0.01*$3); $e = sprintf("%.2f", 0.01*$4); if ($s != $e) {print "$utt $reco $s $e
  "}; ' >$dir/train_all/segments
  
    $utils/utt2spk_to_spk2utt.pl <$dir/train_all/utt2spk > $dir/train_all/spk2utt
  fi
  
  if [ $stage -le 3 ]; then
    for f in `cat $tmpdir/train_sph.flist`; do
      # convert to absolute path
      make_absolute.sh $f
    done > $tmpdir/train_sph_abs.flist
  
    cat $tmpdir/train_sph_abs.flist | perl -ane 'm:/([^/]+)\.sph$: || die "bad line $_; ";  print "$1 $_"; ' > $tmpdir/sph.scp
    cat $tmpdir/sph.scp | awk -v sph2pipe=$sph2pipe '{printf("%s-A %s -f wav -p -c 1 %s |
  ", $1, sph2pipe, $2); printf("%s-B %s -f wav -p -c 2 %s |
  ", $1, sph2pipe, $2);}' | \
    sort -k1,1 -u  > $dir/train_all/wav.scp || exit 1;
  fi
  
  if [ $stage -le 4 ]; then
    # Build the speaker to gender map, the temporary file with the speaker in gender information is already created by fsp_make_trans.pl.
    cd $cdir
    $local/fsp_make_spk2gender.sh > $dir/train_all/spk2gender
  fi
  
  fix_data_dir.sh $dir/train_all || exit 1
  validate_data_dir.sh --no-feats $dir/train_all || exit 1
  
  echo "Fisher Spanish Data preparation succeeded."
  
  exit 0;