import requests
from pathlib import Path
from typing import List
import datasets

logger = datasets.logging.get_logger(__name__)

_URLS = {'train': 'https://huggingface.co/datasets/auto-exp-2/resolve/main/train.tar.gz'}
_NAMES = ['cls_a', 'cls_b']

class ImageFolder(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features(
                dict(
                    file=datasets.Value("string"),
                    labels=datasets.features.ClassLabel(names=_NAMES)
                )
            ),
        )

    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:

        data_files = dl_manager.download_and_extract(_URLS)
        if isinstance(data_files, str):
            return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=dict(archive_path=data_files))]

        splits = []
        for split_name, folder in data_files.items():
            splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs=dict(archive_path=folder)))

        return splits

    def _generate_examples(self, archive_path):
        labels = self.info.features['labels']
        extensions = set(('.jpg', '.jpeg', '.png', '.ppm', '.bmp', '.pgm', '.tif', '.tiff', '.webp'))
        for i, path in enumerate(Path(archive_path).glob('**/*')):
            if path.suffix in extensions:
                yield i, dict(file=path.as_posix(), labels=labels.encode_example(path.parent.name.lower()))