import datasets
from datasets import DatasetInfo, DownloadManager

from NASA_OSDR import NasaOsdr


def test_inherit_generator_base_builder_works():
    class Child(datasets.GeneratorBasedBuilder):
        BUILDER_CONFIGS = [
            datasets.BuilderConfig(
                name="some dataset",
                version=datasets.Version("1.0.0"),
                description="some description",
            )
        ]

        DEFAULT_CONFIG_NAME = "some dataset"

        def _info(self) -> DatasetInfo:
            return datasets.DatasetInfo(
                description="""dadada """,
                features=None,
                supervised_keys=None,
                homepage="dada",
                license="dada",
                citation="dsada",
            )

    child = Child()

    assert child


def test_generate_examples():
    dataset = NasaOsdr()
    train_data = dataset._generate_examples(assays_file='data/assays.csv', samples_file='data/samples.csv')
    idx, sample = next(iter(train_data))
    print(idx, sample.keys())


def test_load_dataset():
    from datasets import load_dataset
    dataset = load_dataset("nasa_osdr.py")
    print(len(dataset["train"]))


# def test_load_dataset2():
#     from datasets import load_dataset
#     dataset = load_dataset("anz2/NASA_OSDR", use_auth_token="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")
#     print(len(dataset["test"]))