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

import datasets


_URLS = {
    "amazon_reviews_multi": "data/amazon_reviews_multi.jsonl",
    "autshumato": "data/autshumato.jsonl",
    "bsd_ja_en": "data/bsd_ja_en.jsonl",
    "bucc2018": "data/bucc2018.jsonl",
    "cmu_hinglish_dog": "data/cmu_hinglish_dog.jsonl",
    "europa_eac_tm": "data/europa_eac_tm.jsonl",
    "iwslt2017": "data/iwslt2017.jsonl",
    "mike0307": "data/mike0307.jsonl",
    "nbnn": "data/nbnn.jsonl",
    "nordic_langid": "data/nordic_langid.jsonl",
    "scandi_langid": "data/scandi_langid.jsonl",
    "stsb_multi_mt": "data/stsb_multi_mt.jsonl",
    "tatoeba": "data/tatoeba.jsonl",
    "xnli": "data/xnli.jsonl",

}


_CITATION = """\
@dataset{language_identification,
  author       = {Xing Tian},
  title        = {language_identification},
  month        = aug,
  year         = 2024,
  publisher    = {Xing Tian},
  version      = {1.0},
}
"""


LANGUAGE_MAP = {
    "ar": "arabic",
    "bg": "bulgarian",
    "da": "danish",
    "de": "german",
    "el": "modern greek",
    "en": "english",
    "eo": "esperanto",
    "es": "spanish",
    "fo": "faroese",
    "fr": "french",
    "gl": "galician",
    "hi": "hindi",
    "hi_en": "hindi (english)",
    "is": "icelandic",
    "it": "italian",
    "ja": "japanese",
    "ko": "korean",
    "nl": "dutch",
    "no": "norwegian",
    "no-b": "norwegian (bokmål)",
    "no-n": "norwegian (nynorsk)",
    "mr": "marathi",
    "pl": "polish",
    "pt": "portuguese",
    "ro": "romanian",
    "ru": "russian",
    "sw": "swahili",
    "sv": "swedish",
    "th": "thai",
    "tn": "sepedi",
    "tr": "turkish",
    "ts": "dzonga",
    "ur": "urdu",
    "vi": "vietnamese",
    "zh": "chinese",
    "zh-cn": "simplified chinese",
    "zh-tw": "traditional chinese",
    "zu": "zulu, south africa",
}


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

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="amazon_reviews_multi", version=VERSION, description="amazon_reviews_multi"),
        datasets.BuilderConfig(name="autshumato", version=VERSION, description="autshumato"),
        datasets.BuilderConfig(name="bsd_ja_en", version=VERSION, description="bsd_ja_en"),
        datasets.BuilderConfig(name="bucc2018", version=VERSION, description="bucc2018"),
        datasets.BuilderConfig(name="cmu_hinglish_dog", version=VERSION, description="cmu_hinglish_dog"),
        datasets.BuilderConfig(name="europa_eac_tm", version=VERSION, description="europa_eac_tm"),
        datasets.BuilderConfig(name="iwslt2017", version=VERSION, description="iwslt2017"),
        datasets.BuilderConfig(name="mike0307", version=VERSION, description="mike0307"),
        datasets.BuilderConfig(name="nbnn", version=VERSION, description="nbnn"),
        datasets.BuilderConfig(name="nordic_langid", version=VERSION, description="nordic_langid"),
        datasets.BuilderConfig(name="scandi_langid", version=VERSION, description="scandi_langid"),
        datasets.BuilderConfig(name="stsb_multi_mt", version=VERSION, description="stsb_multi_mt"),
        datasets.BuilderConfig(name="tatoeba", version=VERSION, description="tatoeba"),
        datasets.BuilderConfig(name="xnli", version=VERSION, description="xnli"),

    ]

    def _info(self):
        features = datasets.Features(
            {
                "text": datasets.Value("string"),
                "language": datasets.Value("string"),
                "data_source": 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):
        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

                language = sample["language"]
                if language not in LANGUAGE_MAP.keys():
                    raise AssertionError(language)

                yield idx, {
                    "text": sample["text"],
                    "language": language,
                    "data_source": sample["data_source"],
                }
                idx += 1


if __name__ == '__main__':
    pass