#!/bin/bash
  # Copyright 2017    Hossein Hadian
  #           2018    Ashish Arora
  set -e
  stage=0
  nj=70
  # download_dir{1,2,3} points to the database path on the JHU grid. If you have not
  # already downloaded the database you can set it to a local directory
  # This corpus can be purchased here:
  # https://catalog.ldc.upenn.edu/{LDC2012T15,LDC2013T09/,LDC2013T15/}
  download_dir1=/export/corpora/LDC/LDC2012T15/data
  download_dir2=/export/corpora/LDC/LDC2013T09/data
  download_dir3=/export/corpora/LDC/LDC2013T15/data
  writing_condition1=/export/corpora/LDC/LDC2012T15/docs/writing_conditions.tab
  writing_condition2=/export/corpora/LDC/LDC2013T09/docs/writing_conditions.tab
  writing_condition3=/export/corpora/LDC/LDC2013T15/docs/writing_conditions.tab
  data_splits_dir=data/download/data_splits
  images_scp_dir=data/local
  overwrite=false
  subset=false
  augment=false
  use_extra_corpus_text=true
  . ./cmd.sh ## You'll want to change cmd.sh to something that will work on your system.
             ## This relates to the queue.
  . ./path.sh
  . ./utils/parse_options.sh  # e.g. this parses the above options
                              # if supplied.
  ./local/check_tools.sh
  
  mkdir -p data/{train,test,dev}/data
  mkdir -p data/local/{train,test,dev}
  if [ $stage -le 0 ]; then
  
    if [ -f data/train/text ] && ! $overwrite; then
      echo "$0: Not processing, probably script have run from wrong stage"
      echo "Exiting with status 1 to avoid data corruption"
      exit 1;
    fi
  
    echo "$0: preparing data...$(date)"
    local/prepare_data.sh --data_splits $data_splits_dir --download_dir1 $download_dir1 \
                           --download_dir2 $download_dir2 --download_dir3 $download_dir3 \
                           --use_extra_corpus_text $use_extra_corpus_text
  
    for set in test train dev; do
      data_split_file=$data_splits_dir/madcat.$set.raw.lineid
      local/extract_lines.sh --nj $nj --cmd $cmd --data_split_file $data_split_file \
          --download_dir1 $download_dir1 --download_dir2 $download_dir2 \
          --download_dir3 $download_dir3 --writing_condition1 $writing_condition1 \
          --writing_condition2 $writing_condition2 --writing_condition3 $writing_condition3 \
          --data data/local/$set --subset $subset --augment $augment || exit 1
    done
  
    echo "$0: Processing data..."
    for set in dev train test; do
      local/process_data.py $download_dir1 $download_dir2 $download_dir3 \
        $data_splits_dir/madcat.$set.raw.lineid data/$set $images_scp_dir/$set/images.scp \
        $writing_condition1 $writing_condition2 $writing_condition3 --augment $augment --subset $subset
      image/fix_data_dir.sh data/${set}
    done
  
  fi
  
  if [ $stage -le 1 ]; then
    echo "$0: Obtaining image groups. calling get_image2num_frames $(date)."
    image/get_image2num_frames.py data/train
    image/get_allowed_lengths.py --frame-subsampling-factor 4 10 data/train
  
    for set in test dev train; do
      echo "$0: Extracting features and calling compute_cmvn_stats for dataset:  $set. $(date)"
      local/extract_features.sh --nj $nj --cmd $cmd --feat-dim 40 data/$set
      steps/compute_cmvn_stats.sh data/$set || exit 1;
    done
    echo "$0: Fixing data directory for train dataset $(date)."
    utils/fix_data_dir.sh data/train
  fi
  
  if [ $stage -le 2 ]; then
    echo "$0: Preparing BPE..."
    cut -d' ' -f2- data/train/text | utils/lang/bpe/reverse.py | \
      utils/lang/bpe/prepend_words.py | \
      utils/lang/bpe/learn_bpe.py -s 700 > data/local/bpe.txt
  
    for set in test train dev; do
      cut -d' ' -f1 data/$set/text > data/$set/ids
      cut -d' ' -f2- data/$set/text | utils/lang/bpe/reverse.py | \
        utils/lang/bpe/prepend_words.py | \
        utils/lang/bpe/apply_bpe.py -c data/local/bpe.txt \
        | sed 's/@@//g' > data/$set/bpe_text
  
      mv data/$set/text data/$set/text.old
      paste -d' ' data/$set/ids data/$set/bpe_text > data/$set/text
      rm -f data/$set/bpe_text data/$set/ids
    done
  
    echo "$0:Preparing dictionary and lang..."
    local/prepare_dict.sh
    utils/prepare_lang.sh --num-sil-states 4 --num-nonsil-states 8 --sil-prob 0.0 --position-dependent-phones false \
                          data/local/dict "<sil>" data/lang/temp data/lang
    utils/lang/bpe/add_final_optional_silence.sh --final-sil-prob 0.5 data/lang
  fi
  
  if [ $stage -le 3 ]; then
    echo "$0: Calling the flat-start chain recipe... $(date)."
    local/chain/run_e2e_cnn.sh
  fi
  
  lang_decode=data/lang
  lang_rescore=data/lang_rescore_6g
  decode_e2e=true
  if [ $stage -le 4 ]; then
    echo "$0: Estimating a language model for decoding..."
    local/train_lm.sh
    utils/format_lm.sh data/lang data/local/local_lm/data/arpa/6gram_big.arpa.gz \
                       data/local/dict/lexicon.txt $lang_decode
    utils/build_const_arpa_lm.sh data/local/local_lm/data/arpa/6gram_unpruned.arpa.gz \
                                 data/lang $lang_rescore
  fi
  
  if [ $stage -le 5 ] && $decode_e2e; then
    echo "$0: $(date) stage 5: decoding end2end setup..."
    utils/mkgraph.sh --self-loop-scale 1.0 $lang_decode \
      exp/chain/e2e_cnn_1a/ exp/chain/e2e_cnn_1a/graph || exit 1;
  
    steps/nnet3/decode.sh --acwt 1.0 --post-decode-acwt 10.0 --nj $nj --cmd "$cmd" \
      exp/chain/e2e_cnn_1a/graph data/test exp/chain/e2e_cnn_1a/decode_test || exit 1;
  
    steps/lmrescore_const_arpa.sh --cmd "$cmd" $lang_decode $lang_rescore \
      data/test exp/chain/e2e_cnn_1a/decode_test{,_rescored} || exit 1
  
    echo "$0: Done. Date: $(date). Results:"
    local/chain/compare_wer.sh exp/chain/e2e_cnn_1a/
  fi