import datasets
import pandas as pd

_CITATION = """\
@InProceedings{huggingface:dataset,
title = {anti-spoofing_replay},
author = {TrainingDataPro},
year = {2023}
}
"""

_DESCRIPTION = """\
The dataset consists of 40,000 videos and selfies with unique people. 15,000
attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
10,000 attacks with cut-out printouts.
"""
_NAME = 'anti-spoofing_replay'

_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"

_LICENSE = "cc-by-nc-nd-4.0"

_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"


class AntiSpoofingReplay(datasets.GeneratorBasedBuilder):

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features({
                'live_video_id': datasets.Value('string'),
                'phone': datasets.Value('string'),
                'video_file': datasets.Value('string'),
                'phone_video_playback': datasets.Value('string'),
                'worker_id': datasets.Value('string')
            }),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            citation=_CITATION,
            license=_LICENSE)

    def _split_generators(self, dl_manager):
        videos = dl_manager.download(f"{_DATA}videos.tar.gz")
        annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
        videos = dl_manager.iter_archive(videos)
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN,
                                    gen_kwargs={
                                        "videos": videos,
                                        'annotations': annotations
                                    }),
        ]

    def _generate_examples(self, videos, annotations):
        annotations_df = pd.read_csv(annotations, sep=';')
        for idx, (video_path, video) in enumerate(videos):
            file_name = '/'.join(video_path.split('/')[-2:])

            yield idx, {
                'live_video_id':
                    annotations_df.loc[annotations_df['link'] == file_name]
                    ['live_video_id'].values[0],
                'phone':
                    annotations_df.loc[annotations_df['link'] == file_name]
                    ['phone'].values[0],
                'video_file':
                    video_path,
                'phone_video_playback':
                    annotations_df.loc[annotations_df['link'] == file_name]
                    ['phone_video_playback'].values[0],
                'worker_id':
                    annotations_df.loc[annotations_df['link'] == file_name]
                    ['worker_id'].values[0]
            }