"""The BookCorpus dataset."""

import datasets
import os


_DESCRIPTION = """\
Dataset of jira comments from different projects of Apache and more.
"""

_CITATION = """\
@InProceedings{Zhu_2015_ICCV,
    title = {Jira commentaries},
    author = {Filipp Abapolov},
    month = {Fubruary},
    year = {2023}
}
"""


_REPO = "https://huggingface.co/datasets/pheepa/jira-comments"
_URL = f"/data/{_REPO}/jira-comments.tar.gz"


class JiraCommentsConfig(datasets.BuilderConfig):
    """BuilderConfig for BookCorpus."""

    def __init__(self, **kwargs):
        """BuilderConfig for BookCorpus.
        Args:
        **kwargs: keyword arguments forwarded to super.
        """
        super(JiraCommentsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)

        self.path = "jira-comments.txt"


class JiraComments(datasets.GeneratorBasedBuilder):
    """JiraComments dataset."""

    BUILDER_CONFIGS = [
        JiraCommentsConfig(
            name="plain_text",
            description="Plain text",
        )
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "text": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        data_dir = dl_manager.download_and_extract(_URL)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={"filepath": os.path.join(data_dir, self.config.path)},
            ),
        ]

    def _generate_examples(self, filepath):
        """Yields examples."""
        with open(filepath, 'r') as f:
            for id_, line in enumerate(f):
                yield id_, {"text": line}