import json
import os

import datasets

class TestBConfig(datasets.BuilderConfig):
    """BuilderConfig for SuperGLUE."""

    def __init__(self, data_url, **kwargs):
        super().__init__(version=datasets.Version("1.0.2"), **kwargs)
        self.data_url = data_url


class TestB(datasets.GeneratorBasedBuilder):
    """The SuperGLUE benchmark."""
    BUILDER_CONFIGS = [
        TestBConfig(
            name="data1",
            data_url="data1",
        ),
        TestBConfig(
            name="data2",
            data_url="data2",
        )]

    def _info(self):
        
        return datasets.DatasetInfo(
            description='desc'
        )
    def _split_generators(self, dl_manager):
        dl_dir = dl_manager.download_and_extract(self.config.data_url+'/test.json') or ""
        print('dl_dir',dl_dir)
        # task_name = _get_task_name_from_data_url(self.config.data_url)
        # dl_dir = os.path.join(dl_dir, task_name)
        print('dl_dir',dl_dir)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "data_file": os.path.join(dl_dir, "test.json"),
                    "split": datasets.Split.TRAIN,
                },
            )
        ]
    def _generate_examples(self, data_file, split):
        with open(data_file, encoding="utf-8") as f:
            for line in f:
                row = json.loads(line)
                yield row