import datasets
import json

_CITATION = """\
@inproceedings{TBD
}
"""

_DESCRIPTION = """
NorSumm is a Norwegian manually created summarization dataset for benchmarking models.
"""

_LICENSE = "CC0 1.0 Universal"

_HOMEPAGE= "https://github.com/SamiaTouileb/NorSumm/"
_URL = "https://huggingface.co/datasets/SamiaT/NorSumm/raw/main/" #"https://github.com/SamiaTouileb/NorSumm/raw/main/" 
_URLS = {
    "dev": _URL + "NorSumm_dev.json",
    "test": _URL + "NorSumm_test.json",
}



class NorSumm(datasets.GeneratorBasedBuilder):
    """NorSumm 1.0 dataset"""

    VERSION = datasets.Version("1.0.0")
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name="norsumm_v1",
            version=VERSION,
            description=_DESCRIPTION,
        ),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "id": datasets.Value("string"),
                    "article": datasets.Value("string"),
                    "summaries_nb": datasets.Sequence(
                        {
                            "summary1": datasets.Value("string"),
                            "summary2": datasets.Value("string"),
                            "summary3": datasets.Value("string"),
                        }
                    ),
                    "summaries_nn": datasets.Sequence(
                        {
                            "summary1": datasets.Value("string"),
                            "summary2": datasets.Value("string"),
                            "summary3": datasets.Value("string"),
                        }
                    ),
                }
            ),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        # download and extract URLs
        urls_to_download = _URLS
        downloaded_files = dl_manager.download_and_extract(urls_to_download)
        
        return [
            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
        ]

    def _generate_examples(self, filepath):
        
        with open(filepath, 'r', encoding="utf-8") as f:
            norsumm = json.load(f)
            for example in norsumm:
                id_ = example["id"]
                article = example["article"]
                summary1_nb = example["summaries_nb"][0]
                summary2_nb = example["summaries_nb"][1]
                summary3_nb = example["summaries_nb"][2]

                summary1_nn = example["summaries_nn"][0]
                summary2_nn = example["summaries_nn"][1]
                summary3_nn = example["summaries_nn"][2]
                
                yield id_, {
                    "article": article,
                    "id": id_,
                    "summaries_nb": {
                        "summary1": summary1_nb,
                        "summary2": summary2_nb,
                        "summary3": summary3_nb,
                    },
                    "summaries_nn": {
                        "summary1": summary1_nn,
                        "summary2": summary1_nn,
                        "summary3": summary1_nn,
                    },
                }