import os
import socket
import random
import datasets
from datasets.tasks import ImageClassification


_NAMES = {
    'all': ['m_bel', 'f_bel', 'm_folk', 'f_folk'],
    'gender': ['female', 'male'],
    'singing_method': ['Folk_Singing', 'Bel_Canto']
}

_NAME = os.path.basename(__file__).split('.')[0]

_HOMEPAGE = f"https://huggingface.co/datasets/ccmusic-database/{_NAME}"

_CITATION = """\
@dataset{zhaorui_liu_2021_5676893,
  author       = {Zhaorui Liu, Monan Zhou, Shenyang Xu, Yuan Wang, Zhaowen Wang, Wei Li and Zijin Li},
  title        = {CCMUSIC DATABASE: A Music Data Sharing Platform for Computational Musicology Research},
  month        = {nov},
  year         = {2021},
  publisher    = {Zenodo},
  version      = {1.1},
  doi          = {10.5281/zenodo.5676893},
  url          = {https://doi.org/10.5281/zenodo.5676893}
}
"""

_DESCRIPTION = """\
This database contains hundreds of acapella singing clips that are sung in two styles, Bel Conto and Chinese national singing style by professional vocalists. All of them are sung by professional vocalists and were recorded in professional commercial recording studios.
"""


class bel_canto(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features(
                {
                    "mel": datasets.Image(),
                    "cqt": datasets.Image(),
                    "chroma": datasets.Image(),
                    "label": datasets.features.ClassLabel(names=_NAMES['all']),
                    "gender": datasets.features.ClassLabel(names=_NAMES['gender']),
                    "singing_method": datasets.features.ClassLabel(names=_NAMES['singing_method'])
                }
            ),
            supervised_keys=("mel", "label"),
            homepage=_HOMEPAGE,
            license="mit",
            citation=_CITATION,
            description=_DESCRIPTION,
            task_templates=[
                ImageClassification(
                    task="image-classification",
                    image_column="mel",
                    label_column="label"
                )
            ]
        )

    def _cdn_url(self, ip='127.0.0.1', port=80):
        try:
            # easy for local test
            with socket.create_connection((ip, port), timeout=5):
                return f'http://{ip}/{_NAME}/data/belcanto_data.zip'
        except (socket.timeout, socket.error):
            return f"{_HOMEPAGE}/resolve/main/data/belcanto_data.zip"

    def _split_generators(self, dl_manager):
        data_files = dl_manager.download_and_extract(self._cdn_url())
        files = dl_manager.iter_files([data_files])
        dataset = []

        for path in files:
            if 'mel' in path and os.path.basename(path).endswith(".jpg"):
                dataset.append(path)

        random.shuffle(dataset)
        data_count = len(dataset)
        p80 = int(data_count * 0.8)
        p90 = int(data_count * 0.9)

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "files": dataset[:p80]
                }
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "files": dataset[p80:p90]
                }
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "files": dataset[p90:]
                }
            )
        ]

    def _generate_examples(self, files):
        for i, fpath in enumerate(files):
            dirname = os.path.basename(os.path.dirname(fpath))
            sex = dirname.split('_')[0]
            method = dirname.split('_')[1]
            yield i, {
                "mel": fpath,
                "cqt": fpath.replace('mel', 'cqt'),
                "chroma": fpath.replace('mel', 'chroma'),
                "label": dirname,
                "gender": 'male' if sex == 'm' else 'female',
                "singing_method": 'Bel_Canto' if method == 'bel' else 'Folk_Singing'
            }