#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import os
from pathlib import Path

import librosa
import numpy as np
from scipy.io import wavfile
from tqdm import tqdm

from project_settings import project_path


def get_args():
    parser = argparse.ArgumentParser()

    parser.add_argument(
        "--wav_dir",
        # default=(project_path / "data/early_media/60/wav").as_posix(),
        default=(project_path / "data/calling/60/wav").as_posix(),
        type=str
    )
    parser.add_argument("--to_sample_rate", default=16000, type=int)
    parser.add_argument(
        "--output_dir",
        # default="./early_media",
        default="./calling",
        type=str
    )
    args = parser.parse_args()
    return args


def main():
    args = get_args()

    wav_dir = Path(args.wav_dir)
    output_dir = Path(args.output_dir)

    max_value = (2 << 15)

    for filename in tqdm(wav_dir.glob("**/*.wav")):
        filename = Path(filename)

        signal, sample_rate = librosa.load(filename.as_posix(), sr=args.to_sample_rate)
        signal = np.array(signal * max_value, dtype=np.int16)

        if signal.ndim != 2:
            signal2 = np.zeros(shape=signal.shape, dtype=np.int16)
            signal = np.stack([signal, signal2], axis=-1)

        to_filename = output_dir / filename.relative_to(wav_dir)
        to_filename.parent.mkdir(parents=True, exist_ok=True)
        wavfile.write(to_filename.as_posix(), rate=args.to_sample_rate, data=signal)
    return


if __name__ == '__main__':
    main()