# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import numpy as np
import soundfile as sf
import os
from pathlib import Path
import paddle
import parakeet
from parakeet.models.wavenet import UpsampleNet, WaveNet, ConditionalWaveNet
from parakeet.utils import layer_tools, checkpoint

from config import get_cfg_defaults


def main(config, args):
    paddle.set_device(args.device)
    model = ConditionalWaveNet.from_pretrained(config, args.checkpoint_path)
    layer_tools.recursively_remove_weight_norm(model)
    model.eval()

    mel_dir = Path(args.input).expanduser()
    output_dir = Path(args.output).expanduser()
    output_dir.mkdir(parents=True, exist_ok=True)
    for file_path in mel_dir.iterdir():
        mel = np.load(str(file_path))
        audio = model.predict(mel)
        audio_path = output_dir / (
            os.path.splitext(file_path.name)[0] + ".wav")
        sf.write(audio_path, audio, config.data.sample_rate)
        print("[synthesize] {} -> {}".format(file_path, audio_path))


if __name__ == "__main__":
    config = get_cfg_defaults()

    parser = argparse.ArgumentParser(
        description="generate mel spectrogram with TransformerTTS.")
    parser.add_argument(
        "--config",
        type=str,
        metavar="FILE",
        help="extra config to overwrite the default config")
    parser.add_argument(
        "--checkpoint_path", type=str, help="path of the checkpoint to load.")
    parser.add_argument(
        "--input",
        type=str,
        help="path of directory containing mel spectrogram (in .npy format)")
    parser.add_argument("--output", type=str, help="path to save outputs")
    parser.add_argument(
        "--device", type=str, default="cpu", help="device type to use.")
    parser.add_argument(
        "--opts",
        nargs=argparse.REMAINDER,
        help="options to overwrite --config file and the default config, passing in KEY VALUE pairs"
    )
    parser.add_argument(
        "-v", "--verbose", action="store_true", help="print msg")

    args = parser.parse_args()
    if args.config:
        config.merge_from_file(args.config)
    if args.opts:
        config.merge_from_list(args.opts)
    config.freeze()
    print(config)
    print(args)

    main(config, args)