import csv
import os
import json

import datasets
from tqdm import tqdm




# TODO: change "streaming" to "main" after merge!
_BASE_URL = "https://huggingface.co/datasets/makiour/dvoice-Darija/tree/main/darija/"

_AUDIO_URL = _BASE_URL + "wavs/{path}.wav"

_TRANSCRIPT_URL = _BASE_URL + "texts/{split}.tsv"

_N_SHARDS_URL = _BASE_URL + "n_shards.json"


class CommonVoiceConfig(datasets.BuilderConfig):
    """BuilderConfig for CommonVoice."""

    def __init__(self, name, version, **kwargs):
        self.language = kwargs.pop("language", None)
        self.release_date = kwargs.pop("release_date", None)
        self.num_clips = kwargs.pop("num_clips", None)
        self.num_speakers = kwargs.pop("num_speakers", None)
        self.validated_hr = kwargs.pop("validated_hr", None)
        self.total_hr = kwargs.pop("total_hr", None)
        self.size_bytes = kwargs.pop("size_bytes", None)
        self.size_human = size_str(self.size_bytes)
        description = (
           "Finetune Whisper with Dvoice Darija Dataset"
        )
        super(CommonVoiceConfig, self).__init__(
            name=name,
            version=datasets.Version(version),
            description=description,
            **kwargs,
        )


class CommonVoice(datasets.GeneratorBasedBuilder):
    DEFAULT_WRITER_BATCH_SIZE = 1000

    def _info(self):
        description = (
           "Finetune Whisper with Dvoice Darija Dataset"
        )
        features = datasets.Features(
            {
                "path": datasets.Value("string"),
                "audio": datasets.features.Audio(sampling_rate=48_000),
                "words": datasets.Value("string"),
                "duration": datasets.Value("int64"),
            }
        )

        return datasets.DatasetInfo(
            description=description,
            features=features,
            supervised_keys=None,
        )