#!/usr/bin/python3
# -*- coding: utf-8 -*-
from glob import glob
import os
from pathlib import Path

import datasets
import pandas as pd
import requests


_METADATA_URL = "metadata.csv"


_CITATION = """\
@dataset{h_novel,
  author       = {Xing Tian},
  title        = {h_novel},
  month        = aug,
  year         = 2023,
  publisher    = {Xing Tian},
  version      = {1.0},
}
"""


_DESCRIPTION = """\
This dataset contains some SQ novel. 
It is supposed to be used for text generation tasks.
"""


class HNovel(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="ltxsba", version=VERSION, description="ltxsba"),
        datasets.BuilderConfig(name="ltxsba_1gb", version=VERSION, description="ltxsba_1gb"),
        datasets.BuilderConfig(name="ltxsba_5gb", version=VERSION, description="ltxsba_5gb"),
        datasets.BuilderConfig(name="ltxsba_100m", version=VERSION, description="ltxsba_100m"),
        datasets.BuilderConfig(name="ltxsba_500m", version=VERSION, description="ltxsba_500m"),

        datasets.BuilderConfig(name="yazhou", version=VERSION, description="yazhou"),
        datasets.BuilderConfig(name="yazhou_5m", version=VERSION, description="yazhou_5m"),
        datasets.BuilderConfig(name="yazhou_10m", version=VERSION, description="yazhou_10m"),
        datasets.BuilderConfig(name="yazhou_20m", version=VERSION, description="yazhou_20m"),
        datasets.BuilderConfig(name="yazhou_50m", version=VERSION, description="yazhou_50m"),
        datasets.BuilderConfig(name="yazhou_70m", version=VERSION, description="yazhou_70m"),

        datasets.BuilderConfig(name="all", version=VERSION, description="all"),
    ]

    def _info(self):
        features = datasets.Features(
            {
                "source": datasets.Value("string"),
                "idx": datasets.Value("string"),
                "filename": datasets.Value("string"),
                "novel_name": datasets.Value("string"),
                "row_idx": datasets.Value("string"),
                "text": datasets.Value("string"),
            }
        )

        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            supervised_keys=None,
            homepage="",
            license="",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        dl_path = dl_manager.download(_METADATA_URL)
        archive_path = dl_path

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

    def _generate_examples(self, archive_path, dl_manager):
        """Yields examples."""
        sample_idx = 0
        df = pd.read_csv(archive_path)
        for i, row in df.iterrows():
            source = row["source"]
            filename = row["filename"]
            if self.config.name != "all" and source != self.config.name:
                continue

            try:
                filename = dl_manager.download(filename)
            except Exception:
                continue

            filename = Path(filename)

            name = filename.stem
            splits = name.split("_")
            idx = splits[-1]
            novel_name = "_".join(splits[:-1])

            row_idx = 1
            with open(filename.as_posix(), "r", encoding="utf-8") as f:
                for txt_row in f:
                    txt_row = str(txt_row).strip()
                    if len(txt_row) == 0:
                        continue

                    yield sample_idx, {
                        "source": source,
                        "idx": idx,
                        "filename": "/".join(filename.parts[-3:]),
                        "novel_name": novel_name,
                        "row_idx": row_idx,
                        "text": txt_row,
                    }
                    row_idx += 1
                    sample_idx += 1


if __name__ == '__main__':
    pass