"""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/resolve/main"
_URL = f"{_REPO}/data/jira-comments.tar.gz"


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

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name='jira-comments', 
            version=datasets.Version("1.0.0"), 
            description=_DESCRIPTION
            )
    ]


    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,
                gen_kwargs={"filepath": os.path.join(data_dir, "train-pairs-jira-comments.txt")}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={"filepath": os.path.join(data_dir,  "test-pairs-jira-comments.txt")}
            )
        ]

    def _generate_examples(self, filepath):
        """Yields examples."""
        with open(filepath, 'r') as f:
            triples = f.read()
    
        for id_, line in enumerate(range(0, len(triples), 3)):
            l, a, b = line.split('\n')
            yield id_, {"text": ' '.join([a, b]), 'labels': int(l)}