import gzip
import json
import os
import datasets

_BASE_URL = "https://huggingface.co/datasets/neuclir/hc4/resolve/main/data/"
_URLS = {
    "fas": _BASE_URL + "fas-00000-of-00001.jsonl.gz",
    "rus": _BASE_URL + "rus-00000-of-00001.jsonl.gz",
    "zho": _BASE_URL + "zho-00000-of-00001.jsonl.gz",
}


class Hc4(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.2")

    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
              "id": datasets.Value("string"),
              "cc_file": datasets.Value("string"),
              "time": datasets.Value("string"),
              "title": datasets.Value("string"),
              "text": datasets.Value("string"),
              "url": datasets.Value("string"),
            }),
        )

    def _split_generators(self, dl_manager):
        paths = dl_manager.download(_URLS)
        return [
            datasets.SplitGenerator(
                name=lang,
                gen_kwargs={
                    "filepath": paths[lang]
                })
            for lang in _URLS
        ]

    def _generate_examples(self, filepath):
        with gzip.open(filepath) as f:
            for key, row in enumerate(f):
                data = json.loads(row)
                yield key, data