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

import datasets


_DATA_URL_MAP = {
    "kitchen_16k": "https://zenodo.org/records/1227121/files/DKITCHEN_16k.zip?download=1",
    "kitchen_48k": "https://zenodo.org/records/1227121/files/DKITCHEN_48k.zip?download=1",
    "living_16k": "https://zenodo.org/records/1227121/files/DLIVING_16k.zip?download=1",
    "living_48k": "https://zenodo.org/records/1227121/files/DLIVING_48k.zip?download=1",
    "washing_16k": "https://zenodo.org/records/1227121/files/DWASHING_16k.zip?download=1",
    "washing_48k": "https://zenodo.org/records/1227121/files/DWASHING_48k.zip?download=1",
    "field_16k": "https://zenodo.org/records/1227121/files/NFIELD_16k.zip?download=1",
    "field_48k": "https://zenodo.org/records/1227121/files/NFIELD_48k.zip?download=1",
    "park_16k": "https://zenodo.org/records/1227121/files/NPARK_16k.zip?download=1",
    "park_48k": "https://zenodo.org/records/1227121/files/NPARK_48k.zip?download=1",
    "river_16k": "https://zenodo.org/records/1227121/files/NRIVER_16k.zip?download=1",
    "river_48k": "https://zenodo.org/records/1227121/files/NRIVER_48k.zip?download=1",
    "hallway_16k": "https://zenodo.org/records/1227121/files/OHALLWAY_16k.zip?download=1",
    "hallway_48k": "https://zenodo.org/records/1227121/files/OHALLWAY_48k.zip?download=1",
    "meeting_16k": "https://zenodo.org/records/1227121/files/OMEETING_16k.zip?download=1",
    "meeting_48k": "https://zenodo.org/records/1227121/files/OMEETING_48k.zip?download=1",
    "office_16k": "https://zenodo.org/records/1227121/files/OOFFICE_16k.zip?download=1",
    "office_48k": "https://zenodo.org/records/1227121/files/OOFFICE_48k.zip?download=1",
    "cafeter_16k": "https://zenodo.org/records/1227121/files/PCAFETER_16k.zip?download=1",
    "cafeter_48k": "https://zenodo.org/records/1227121/files/PCAFETER_48k.zip?download=1",
    "resto_16k": "https://zenodo.org/records/1227121/files/PRESTO_16k.zip?download=1",
    "resto_48k": "https://zenodo.org/records/1227121/files/PRESTO_48k.zip?download=1",
    "station_16k": "https://zenodo.org/records/1227121/files/PSTATION_16k.zip?download=1",
    "station_48k": "https://zenodo.org/records/1227121/files/PSTATION_48k.zip?download=1",

    "cafe_48k": "https://zenodo.org/records/1227121/files/SCAFE_48k.zip?download=1",

    "square_16k": "https://zenodo.org/records/1227121/files/SPSQUARE_16k.zip?download=1",
    "square_48k": "https://zenodo.org/records/1227121/files/SPSQUARE_48k.zip?download=1",
    "traffic_16k": "https://zenodo.org/records/1227121/files/STRAFFIC_16k.zip?download=1",
    "traffic_48k": "https://zenodo.org/records/1227121/files/STRAFFIC_48k.zip?download=1",
    "bus_16k": "https://zenodo.org/records/1227121/files/TBUS_16k.zip?download=1",
    "bus_48k": "https://zenodo.org/records/1227121/files/TBUS_48k.zip?download=1",
    "car_16k": "https://zenodo.org/records/1227121/files/TCAR_16k.zip?download=1",
    "car_48k": "https://zenodo.org/records/1227121/files/TCAR_48k.zip?download=1",
    "metro_16k": "https://zenodo.org/records/1227121/files/TMETRO_16k.zip?download=1",
    "metro_48k": "https://zenodo.org/records/1227121/files/TMETRO_48k.zip?download=1",

}

_CITATION = """\
@dataset{DEMAND,
  author       = {Xing Tian},
  title        = {DEMAND},
  month        = jan,
  year         = 2025,
  publisher    = {Xing Tian},
  version      = {1.0},
}
"""


_DESCRIPTION = """DEMAND: Diverse Environments Multichannel Acoustic Noise Database"""


_VERSION = datasets.Version("1.0.0")


_BUILDER_CONFIGS = [
    datasets.BuilderConfig(name=key, version=_VERSION, description=key)
    for key in _DATA_URL_MAP.keys()
]


class Demand(datasets.GeneratorBasedBuilder):
    VERSION = _VERSION

    BUILDER_CONFIGS = _BUILDER_CONFIGS

    def _info(self):
        features = datasets.Features(
            {
                "category": datasets.Value("string"),
                "audio": datasets.Audio(),
            }
        )

        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            supervised_keys=None,
            homepage="",
            license="",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        data_url = _DATA_URL_MAP.get(self.config.name)
        if data_url is None:
            raise AssertionError(f"subset {self.config.name} is not available.")

        archive_path = dl_manager.download_and_extract(data_url)

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"archive_path": archive_path, "dl_manager": dl_manager},
            ),
        ]

    def _generate_examples(self, archive_path, dl_manager):
        """Yields examples."""
        archive_path = Path(archive_path)

        sample_idx = 0
        for filename in archive_path.glob("**/*.wav"):
            print(filename)
            yield sample_idx, {
                "category": filename.parts[-2],
                "audio": filename.as_posix(),
            }
            sample_idx += 1


if __name__ == '__main__':
    pass