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

import datasets


_URLS = {
    "afqmc": "data/afqmc.jsonl",
    "bustm": "data/bustm.jsonl",
    "ccks2018_task3": "data/ccks2018_task3.jsonl",
    "chinese_mnli": "data/chinese_mnli.jsonl",
    "chinese_snli": "data/chinese_snli.jsonl",
    "chinese_sts": "data/chinese_sts.jsonl",
    "chip2019": "data/chip2019.jsonl",
    "covid_19": "data/covid_19.jsonl",
    "diac2019": "data/diac2019.jsonl",
    "lcqmc": "data/lcqmc.jsonl",
    "ocnli": "data/ocnli.jsonl",
    "pawsx_zh": "data/pawsx_zh.jsonl",
    "sts_b": "data/sts_b.jsonl",

}


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


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

    configs = list()
    for name in _URLS.keys():
        config = datasets.BuilderConfig(name=name, version=VERSION, description=name)
        configs.append(config)

    BUILDER_CONFIGS = [
        *configs
    ]

    def _info(self):
        features = datasets.Features(
            {
                "sentence1": datasets.Value("string"),
                "sentence2": datasets.Value("string"),
                "label": datasets.Value("string"),
                "category": datasets.Value("string"),
                "data_source": datasets.Value("string"),
                "split": datasets.Value("string"),
            }
        )
        return datasets.DatasetInfo(
            features=features,
            supervised_keys=None,
            homepage="",
            license="",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        url = _URLS[self.config.name]
        dl_path = dl_manager.download(url)
        archive_path = dl_path

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"archive_path": archive_path, "split": "train"},
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={"archive_path": archive_path, "split": "validation"},
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={"archive_path": archive_path, "split": "test"},
            ),
        ]

    def _generate_examples(self, archive_path, split):
        """Yields examples."""
        archive_path = Path(archive_path)

        idx = 0

        with open(archive_path, "r", encoding="utf-8") as f:
            for row in f:
                sample = json.loads(row)

                if sample["split"] != split:
                    continue

                yield idx, {
                    "sentence1": sample["sentence1"],
                    "sentence2": sample["sentence2"],
                    "label": sample["label"],
                    "category": sample["category"],
                    "data_source": sample["data_source"],
                    "split": sample["split"],
                }
                idx += 1


if __name__ == '__main__':
    pass