import os
import datasets
import json
from paths import _URLS

_CITATION = """\
@dataset{jose_canete_2019_3247731,
  author       = {José Cañete},
  title        = {Compilation of Large Spanish Unannotated Corpora},
  month        = may,
  year         = 2019,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.3247731},
  url          = {https://doi.org/10.5281/zenodo.3247731}
}
"""

_DESCRIPTION = "Unannotated Spanish 3 Billion Words Corpora. This repository gathers a compilation of corpus in Spanish language"
_HOMEPAGE = "https://github.com/josecannete/spanish-corpora"
_LICENSE = "MIT License (https://github.com/josecannete/spanish-corpora/blob/master/LICENSE)"


class NewDatasetConfig(datasets.BuilderConfig):
    def __init__(self, name_into_zip, features, data_url, **kwargs):
        super(NewDatasetConfig, self).__init__(description="",version=datasets.Version("1.0.0"), **kwargs)
        self.features = features
        self.data_url = data_url
        self.name_into_zip = name_into_zip


class NewDataset(datasets.GeneratorBasedBuilder):
    DEFAULT_CONFIG_NAME = list(_URLS.keys())[0]
    BUILDER_CONFIGS = [
        NewDatasetConfig(
            name=name,
            name_into_zip="preprocessed_{}_lower_{}.json".format(name.split("_")[0], name.split("_")[1]),
            features=["idx","text","subset"],
            data_url=url
        )
        for name,url in _URLS.items()
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION + self.config.description,
            features=datasets.Features(
                {   
                    "idx": datasets.Value(dtype="int32"),
                    "text": datasets.Value(dtype="string"),
                    "subset": datasets.Value(dtype="string")
                }
            ),
            homepage=_HOMEPAGE,
            # License for the dataset if available
            license=_LICENSE,
            # Citation for the dataset
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        data_dir = dl_manager.download_and_extract(self.config.data_url)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.ALL,
                gen_kwargs={
                    "filepath": os.path.join(data_dir, self.config.name_into_zip),
                    "subset": self.config.name.split("_")[0]
                },
            )
        ]

    def _generate_examples(self, filepath, subset):
        with open(filepath, encoding="utf-8") as f:
            id_ = 0
            data = json.load(f)
            for _, text in data['text'].items():
                yield id_, {
                    "idx":id_,
                    "text":text.strip(),
                    "subset":subset
                }
                id_ += 1