import os
import datasets


logger = datasets.logging.get_logger(__name__)

ID_POOL = ("default", "origin")
URL = "https://huggingface.co/datasets/thewall/Aptani2Param/resolve/main"


class Aptani2ParamConfig(datasets.BuilderConfig):
    pass


class Aptani2Param(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        Aptani2ParamConfig(name=key) for key in ID_POOL
    ]

    DEFAULT_CONFIG_NAME = "default"

    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features(
                {
                    "config": datasets.Value("string"),
                    "existed": datasets.Value("bool"),
                    "file_num": datasets.Value("int32"),
                }
            ),
            homepage="http://aptani.unimore.it/",
        )

    def _split_generators(self, dl_manager):
        aptani2_url = f"{URL}/{self.config.name}.tar.gz"
        downloaded_files = [os.path.join(f"{dl_manager.download_and_extract(aptani2_url)}", self.config.name)]
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
        ]

    def _generate_examples(self, filepath):
        """This function returns the examples in the raw (text) form."""
        logger.info("generating examples from = %s", filepath)
        flag = True
        for file in filepath:
            flag = flag and os.path.exists(file)
        file_num = len(os.listdir(filepath[0]))
        yield 0, {"config": filepath[0],
                  "existed": flag,
                  "file_num": file_num,
                  }


if __name__=="__main__":
    from datasets import load_dataset
    dataset = load_dataset("aptani2param.py", split="all")