#!/usr/bin/env bash

# fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674
export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python

set -eou pipefail

stage=-1
stop_stage=100

dl_dir=$PWD/download
mkdir -p $dl_dir

. shared/parse_options.sh || exit 1

# All files generated by this script are saved in "data".
# You can safely remove "data" and rerun this script to regenerate it.
mkdir -p data

log() {
  # This function is from espnet
  local fname=${BASH_SOURCE[1]##*/}
  echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
}

log "dl_dir: $dl_dir"

if [ $stage -le -1 ] && [ $stop_stage -ge -1 ]; then
  log "Stage -1: build monotonic_align lib (used by ./matcha)"
  for recipe in matcha; do
    if [ ! -d $recipe/monotonic_align/build ]; then
      cd $recipe/monotonic_align
      python3 setup.py build_ext --inplace
      cd ../../
    else
      log "monotonic_align lib for $recipe already built"
    fi
  done
fi

if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
  log "Stage 0: Download data"

  # The directory $dl_dir/BANSYP contains the following 3 directories

  # ls -lh $dl_dir/BZNSYP/
  # total 0
  # drwxr-xr-x 10002 kuangfangjun root 0 Jan  4  2019 PhoneLabeling
  # drwxr-xr-x     3 kuangfangjun root 0 Jan 31  2019 ProsodyLabeling
  # drwxr-xr-x 10003 kuangfangjun root 0 Aug 26 17:45 Wave

  # If you have trouble accessing huggingface.co, please use
  #
  # cd $dl_dir
  # wget https://huggingface.co/openspeech/BZNSYP/resolve/main/BZNSYP.tar.bz2
  # tar xf BZNSYP.tar.bz2
  # cd ..

  # If you have pre-downloaded it to /path/to/BZNSYP, you can create a symlink
  #
  #   ln -sfv /path/to/BZNSYP $dl_dir/BZNSYP
  #
  if [ ! -d $dl_dir/BZNSYP/Wave ]; then
    lhotse download baker-zh $dl_dir
  fi
fi

if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
  log "Stage 1: Prepare baker-zh manifest"
  # We assume that you have downloaded the baker corpus
  # to $dl_dir/BZNSYP
  mkdir -p data/manifests
  if [ ! -e data/manifests/.baker-zh.done ]; then
    lhotse prepare baker-zh $dl_dir/BZNSYP data/manifests
    touch data/manifests/.baker-zh.done
  fi
fi

if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
  log "Stage 2: Generate tokens.txt"
  if [ ! -e data/tokens.txt ]; then
    python3 ./local/generate_tokens.py --tokens data/tokens.txt
  fi
fi

if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
  log "Stage 3: Generate raw cutset"
  if [ ! -e data/manifests/baker_zh_cuts_raw.jsonl.gz ]; then
    lhotse cut simple \
      -r ./data/manifests/baker_zh_recordings_all.jsonl.gz \
      -s ./data/manifests/baker_zh_supervisions_all.jsonl.gz \
      ./data/manifests/baker_zh_cuts_raw.jsonl.gz
  fi
fi

if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
  log "Stage 4: Convert text to tokens"
  if [ ! -e data/manifests/baker_zh_cuts.jsonl.gz ]; then
    python3 ./local/convert_text_to_tokens.py \
      --in-file ./data/manifests/baker_zh_cuts_raw.jsonl.gz \
      --out-file ./data/manifests/baker_zh_cuts.jsonl.gz
  fi
fi

if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
  log "Stage 5: Generate fbank (used by ./matcha)"
  mkdir -p data/fbank
  if [ ! -e data/fbank/.baker-zh.done ]; then
    ./local/compute_fbank_baker_zh.py
    touch data/fbank/.baker-zh.done
  fi

  if [ ! -e data/fbank/.baker-zh-validated.done ]; then
    log "Validating data/fbank for baker-zh (used by ./matcha)"
    python3 ./local/validate_manifest.py \
      data/fbank/baker_zh_cuts.jsonl.gz
    touch data/fbank/.baker-zh-validated.done
  fi
fi

if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then
  log "Stage 6: Split the baker-zh cuts into train, valid and test sets (used by ./matcha)"
  if [ ! -e data/fbank/.baker_zh_split.done ]; then
    lhotse subset --last 600 \
      data/fbank/baker_zh_cuts.jsonl.gz \
      data/fbank/baker_zh_cuts_validtest.jsonl.gz
    lhotse subset --first 100 \
      data/fbank/baker_zh_cuts_validtest.jsonl.gz \
      data/fbank/baker_zh_cuts_valid.jsonl.gz
    lhotse subset --last 500 \
      data/fbank/baker_zh_cuts_validtest.jsonl.gz \
      data/fbank/baker_zh_cuts_test.jsonl.gz

    rm data/fbank/baker_zh_cuts_validtest.jsonl.gz

    n=$(( $(gunzip -c data/fbank/baker_zh_cuts.jsonl.gz | wc -l) - 600 ))

    lhotse subset --first $n  \
      data/fbank/baker_zh_cuts.jsonl.gz \
      data/fbank/baker_zh_cuts_train.jsonl.gz

    touch data/fbank/.baker_zh_split.done
  fi
fi

if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then
  log "Stage 6: Compute fbank mean and std (used by ./matcha)"
  if [ ! -f ./data/fbank/cmvn.json ]; then
    ./local/compute_fbank_statistics.py ./data/fbank/baker_zh_cuts_train.jsonl.gz ./data/fbank/cmvn.json
  fi
fi