import os
import datasets

_CITATION = """\
@inproceedings{tbd,
  title={tbd},
  author={tbd},
  year={2024},
  url={https://huggingface.co/datasets/faridlab/deepaction_v1}
}
"""

_DESCRIPTION = """\
TBD
"""

_HOMEPAGE = "https://huggingface.co/datasets/faridlab/deepaction_v1"

_LICENSE = "TBD"

class DeepActionV1(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features({
                "video": datasets.Video(),
                "label": datasets.ClassLabel(names=["VideoPoet", "BDAnimateDiffLightning", "CogVideoX5B", "Pexels", "RunwayML", "StableDiffusion", "Veo"]),  # Add all category names
            }),
            supervised_keys=("video", "label"),
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        repo_url = "https://huggingface.co/datasets/faridlab/deepaction_v1"
        # Initialize DownloadManager with use_auth_token
        dl_manager = datasets.DownloadManager(
            download_config=datasets.DownloadConfig(use_auth_token=True)
        )
        data_dir = dl_manager.download_and_extract(repo_url)

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

    def _generate_examples(self, data_dir):
        for label in os.listdir(data_dir):
            label_path = os.path.join(data_dir, label)
            if os.path.isdir(label_path):
                for subfolder in os.listdir(label_path):
                    subfolder_path = os.path.join(label_path, subfolder)
                    if os.path.isdir(subfolder_path):
                        for video_file in os.listdir(subfolder_path):
                            if video_file.endswith(".mp4"):
                                video_path = os.path.join(subfolder_path, video_file)
                                yield video_path, {
                                    "video": video_path,
                                    "label": label,
                                }