import datasets
import json

class SchemapileConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)

class Schemapile(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        SchemapileConfig(name="default", version=datasets.Version("1.0.0"), description="Schemapile dataset"),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description="Schemapile dataset",
            features=datasets.Features({
                "INFO": {
                    "URL": datasets.Value("string"),
                    "LICENSE": datasets.Value("string"),
                    "PERMISSIVE": datasets.Value("bool"),
                    "ID": datasets.Value("string"),
                    "FILENAME": datasets.Value("string"),
                },
                "LICENSE": datasets.Value("string"),
                "PERMISSIVE": datasets.Value("bool"),
                "TABLES": datasets.Sequence({
                    "TABLE_NAME": datasets.Value("string"),
                    "COLUMNS": datasets.Sequence({
                        "NAME": datasets.Value("string"),
                        "TYPE": datasets.Value("string"),
                        "NULLABLE": datasets.Value("bool"),
                        "UNIQUE": datasets.Value("bool"),
                        "DEFAULT": datasets.Value("string"),
                        "CHECKS": datasets.Sequence(datasets.Value("string")),
                        "IS_PRIMARY": datasets.Value("bool"),
                        "IS_INDEX": datasets.Value("bool"),
                        "VALUES": datasets.Value("string"),
                    }),
                    "PRIMARY_KEYS": datasets.Sequence(datasets.Value("string")),
                    "FOREIGN_KEYS": datasets.Sequence({
                        "COLUMNS": datasets.Sequence(datasets.Value("string")),
                        "FOREIGN_TABLE": datasets.Value("string"),
                        "REFERRED_COLUMNS": datasets.Sequence(datasets.Value("string")),
                        "ON_DELETE": datasets.Value("string"),
                        "ON_UPDATE": datasets.Value("string"),
                    }),
                    "CHECKS": datasets.Sequence(datasets.Value("string")),
                    "INDEXES": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
                }),
            }),
            supervised_keys=None,
        )

    def _split_generators(self, dl_manager):
        data_path = dl_manager.download_and_extract("data.jsonl")
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"filepath": data_path},
            ),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf-8") as f:
            for idx, line in enumerate(f):
                data = json.loads(line)
                yield idx, data