import os
import datasets
from PIL import ImageOps

_CITATION = """\
@InProceedings{huggingface:dataset,
title = {Processed KHATT paragrpah dataset},
author={Ahmed Alnaggar},
year={2024}
}
"""

_DESCRIPTION = """\
A curated version of KHATT paragraph dataset containing 3996 images and their crossponding Arabic paragraphs
"""
_HOMEPAGE = "https://huggingface.co/datasets/a-alnaggar/khatt-paragraphs"

_LICENSE = ""

_REPO = "https://huggingface.co/datasets/a-alnaggar/khatt-paragraphs"

class KhattPara(datasets.GeneratorBasedBuilder):

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    'text': datasets.Value("string"),
                    'image': datasets.Image(),
                }
            ),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        images_archive = dl_manager.download(f"{_REPO}/resolve/main/khatt-paragraphs-images.tar.gz")
        image_iters = dl_manager.iter_archive(images_archive)
        text_archive = dl_manager.download_and_extract(f"{_REPO}/resolve/main/khatt-paragraphs-text.tar.gz")
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "images": image_iters,
                    "text_archive_path": text_archive
                }
            ),
        ]
        
    def _generate_examples(self, images, text_archive_path):
        """Returns inverted image and Arabic text."""
        for idx, (filepath, image) in enumerate(images):
            text_path = os.path.basname(filepath))[:-4] + ".txt"
            text = self.read_arabic_text_file(os.path.join(text_archive_path,text_path))
            
            yield idx, {
                "image": {"path": filepath, "bytes": ImageOps.invert(image.read())},
                "text": text,
            }

    @staticmethod
    def read_arabic_text_file(file_path):
        with open(file_path, 'r', encoding='iso-8859-1') as file:
            lines = file.readlines()
        return '\n'.join(lines)