"""
Dataset loading script for github-top-projects with multiple configurations
"""
import csv
import datasets

_CITATION = """\
@dataset{github_trending_2013_2025,
  title={GitHub Trending Projects Dataset (2013-2025)},
  author={Ronan Takizawa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/ronantakizawa/github-top-projects}
}
"""

_DESCRIPTION = """\
A comprehensive dataset of 423,098 GitHub trending repository entries spanning 12+ years (August 2013 - November 2025).

This dataset has two configurations:
- 'full': Complete daily trending data (423,098 entries)
- 'monthly': Top 25 repositories per month with weighted scoring (3,200 entries)
"""

_HOMEPAGE = "https://huggingface.co/datasets/ronantakizawa/github-top-projects"

_LICENSE = "MIT"

_URLS = {
    "full": "github-trending-projects-full.csv",
    "monthly": "github-top-projects-by-month.csv",
}


class GitHubTopProjectsConfig(datasets.BuilderConfig):
    """BuilderConfig for GitHubTopProjects."""

    def __init__(self, **kwargs):
        """BuilderConfig for GitHubTopProjects.
        Args:
          **kwargs: keyword arguments forwarded to super.
        """
        super(GitHubTopProjectsConfig, self).__init__(**kwargs)


class GitHubTopProjects(datasets.GeneratorBasedBuilder):
    """GitHub Trending Projects Dataset"""

    BUILDER_CONFIGS = [
        GitHubTopProjectsConfig(
            name="full",
            version=datasets.Version("1.0.0"),
            description="Complete daily trending data (423,098 entries)",
        ),
        GitHubTopProjectsConfig(
            name="monthly",
            version=datasets.Version("1.0.0"),
            description="Top 25 repositories per month with weighted scoring (3,200 entries)",
        ),
    ]

    DEFAULT_CONFIG_NAME = "full"

    def _info(self):
        if self.config.name == "full":
            features = datasets.Features(
                {
                    "name": datasets.Value("string"),
                    "star_count": datasets.Value("int64"),
                    "fork_count": datasets.Value("int64"),
                    "repo_owner": datasets.Value("string"),
                    "rank": datasets.Value("int64"),
                    "date": datasets.Value("string"),
                }
            )
        else:  # monthly
            features = datasets.Features(
                {
                    "month": datasets.Value("string"),
                    "rank": datasets.Value("int64"),
                    "repository": datasets.Value("string"),
                    "repo_owner": datasets.Value("string"),
                    "repo_name": datasets.Value("string"),
                    "star_count": datasets.Value("int64"),
                    "fork_count": datasets.Value("int64"),
                    "ranking_appearances": datasets.Value("int64"),
                }
            )

        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        urls = _URLS[self.config.name]
        data_file = dl_manager.download_and_extract(urls)

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": data_file,
                },
            ),
        ]

    def _generate_examples(self, filepath):
        """Yields examples."""
        with open(filepath, encoding="utf-8") as f:
            reader = csv.DictReader(f)
            for idx, row in enumerate(reader):
                if self.config.name == "full":
                    yield idx, {
                        "name": row["name"],
                        "star_count": int(row["star_count"]) if row["star_count"] else 0,
                        "fork_count": int(row["fork_count"]) if row["fork_count"] else 0,
                        "repo_owner": row["repo_owner"],
                        "rank": int(row["rank"]) if row["rank"] else 0,
                        "date": row["date"],
                    }
                else:  # monthly
                    yield idx, {
                        "month": row["month"],
                        "rank": int(row["rank"]),
                        "repository": row["repository"],
                        "repo_owner": row["repo_owner"],
                        "repo_name": row["repo_name"],
                        "star_count": int(row["star_count"]) if row["star_count"] else 0,
                        "fork_count": int(row["fork_count"]) if row["fork_count"] else 0,
                        "ranking_appearances": int(row["ranking_appearances"]),
                    }