import os
import json
import datasets

class FinDocRobust(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "file_name": datasets.Image(),
                "document_type": datasets.Value("string"),
                "document_id": datasets.Value("int64"),
                "clean_pdf": datasets.Value("string"),
                "clean_xlsx": datasets.Value("string"),
                "clean_bbox_px": datasets.Value("string"),
                "clean_bbox_pdf_pt": datasets.Value("string"),
                **{f"dirty_{i}_image": datasets.Image() for i in range(1, 6)},
                **{f"dirty_{i}_bbox": datasets.Value("string") for i in range(1, 6)}
            })
        )

    def _split_generators(self, dl_manager):
        # Скачиваем индексный файл и весь репозиторий
        meta_path = dl_manager.download_and_extract("dataset_index.csv")
        archive_path = dl_manager.download_and_extract(".")
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"meta_path": meta_path, "base_path": archive_path}
            )
        ]

    def _generate_examples(self, meta_path, base_path):
        import pandas as pd
        df = pd.read_csv(meta_path)
        for idx, row in df.iterrows():
            res = {
                "file_name": os.path.join(base_path, row["file_name"]),
                "document_type": row["document_type"],
                "document_id": int(row["document_id"]),
                "clean_pdf": row["clean_pdf"],
                "clean_xlsx": row["clean_xlsx"],
                "clean_bbox_px": row["clean_bbox_px"],
                "clean_bbox_pdf_pt": row["clean_bbox_pdf_pt"]
            }
            for i in range(1, 6):
                res[f"dirty_{i}_image"] = os.path.join(base_path, row[f"dirty_{i}_image"])
                res[f"dirty_{i}_bbox"] = row[f"dirty_{i}_bbox"]
            yield idx, res