from datasets import DatasetBuilder, GeneratorBasedBuilder, SplitGenerator, Features, Value
import json
import datasets
import os
from glob import glob
import zstandard as zstd
from datasets.utils import Version
import io

class MyUSPTODataset(GeneratorBasedBuilder):
    VERSION = Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description="USPTO Patents Dataset",
            features=datasets.Features(
                {
                    "text": datasets.Value("string"),

                }
            ),
            supervised_keys=None,

        )

    def _split_generators(self, dl_manager):

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "data_dir": "train",
                    "split": None,
                },

            ),
            datasets.SplitGenerator(
                name="validation_pile",
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "data_dir": "val",
                    "split": "pile",
                },
            ),
            datasets.SplitGenerator(
                name="validation_domain",
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "data_dir": "val",
                    "split": "domain",
                },
            ),
            datasets.SplitGenerator(
                name="test_pile",
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "data_dir": "test_pile",
                    "split": "pile"
                },

            ),
            datasets.SplitGenerator(
                name="test_domain",
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "data_dir": "test_domain",
                    "split": "domain"
                },

            ),

        ]

    def _generate_examples(self, data_dir, split):
        dctx = zstd.ZstdDecompressor()
        idx = -1
        file_paths = glob(os.path.join(data_dir, f"*.jsonl.zst"))
        if split is not None:
            file_paths = [f for f in file_paths if split in f]
        for file in file_paths:
            with open(file, "rb") as f:
                reader = dctx.stream_reader(f)
                buffer = io.BufferedReader(reader)
                for _, line in enumerate(buffer.readlines()):
                    data = json.loads(line)
                    idx += 1
                    yield idx, data


# if __name__ == "__main__":
#     import os
#     import shutil
#     import glob
#     cache_directory = "/Users/jordanclive/.cache/huggingface/datasets"
#
#     dataset = MyUSPTODataset()
#
#     #
#     dataset = MyUSPTODataset()
#     dataset.download_and_prepare()
#     dataset = dataset.as_dataset()
#     # # x = 1
#     # print(dataset)
#     # print(dataset["train"][0])
#     # print(dataset["test"][0])
#     # print(dataset["validation"][0])