import datasets
import pandas as pd

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

class Kinopoisk(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        KinopoiskReviewsConfig(
            name="simple",
            description="Simple config",
            features=["content", "title", "grade3", "movie_name", "part", "review_id", "author", "date"],
        )
    ]
    
    def _info(self):
        #features = {feature: datasets.Value("string") for feature in self.config.features}
        #if self.config.name == "simple":
        #    features = {feature: datasets.Value("string") for feature in self.config.features}
        #features["Idx"] = datasets.Value("int32")
        return datasets.DatasetInfo(
            description='Kinopoisk movie reviews dataset.',
            features=datasets.Features(
                {
                    "content": datasets.Value("string"),
                    "title": datasets.Value("string"),
                    "grade3": datasets.Value("string"),
                    "movie_name": datasets.Value("string"),
                    "part": datasets.Value("string"),
                    "review_id": datasets.Value("string"),
                    "author": datasets.Value("string"),
                    "date":datasets.Value("string"),
                    "grade10": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage='',
            citation='',
        )
    
    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
        urls_to_download = self._URLS
        downloaded_files = dl_manager.download_and_extract(urls_to_download)
    
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
        ]
    
    def _generate_examples(self, filepath):
        df = pd.read_json(filepath, lines=True)
        rows = df.to_dict(orient="records")
        
        for n, row in enumerate(rows):
            example = row
            example["Idx"] = n

            yield example["Idx"], example