from pathlib import Path
from typing import List

import datasets
import pdf2image

logger = datasets.logging.get_logger(__name__)

_DESCRIPTION = "A generic pdf folder"


folder = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data"

class PdfFolder(datasets.GeneratorBasedBuilder):
    def _info(self):

        """
        folder = None
        if isinstance(self.config.data_dir, str):
            folder = self.config.data_dir
        elif isinstance(self.config.data_files, str):
            folder = self.config.data_files
        elif isinstance(self.config.data_files, dict):
            folder = self.config.data_files.get("train", None)

        if folder is None:
            raise RuntimeError()
        """
        self.config.data_files = folder
        import pdb; pdb.set_trace()  # breakpoint f8426718 //
        


        classes = sorted([x.name.lower() for x in Path(folder).glob("*/**")])

        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "file": datasets.Sequence(datasets.Image()),
                    "labels": datasets.features.ClassLabel(names=classes),
                }
            ),
            task_templates=None,
        )

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

        data_files = self.config.data_files

        if isinstance(data_files, str):
            return [
                datasets.SplitGenerator(
                    name=datasets.Split.TRAIN, gen_kwargs={"archive_path": data_files}
                )
            ]

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

        return splits

    def _generate_examples(self, archive_path):
        labels = self.info.features["labels"]
        logger.info("generating examples from = %s", archive_path)
        extensions = {".pdf"}
        for i, path in enumerate(Path(archive_path).glob("**/*")):
            if path.suffix in extensions:

                images = pdf2image.convert_from_bytes(path.posix())

                # convert PDF to list of images
                yield i, {"file": images, "labels": labels.encode_example(path.parent.name.lower())}