import json

import datasets
import pandas as pd
from huggingface_hub.file_download import hf_hub_url

try:
    import lzma as xz
except ImportError:
    import pylzma as xz

datasets.logging.set_verbosity_info()
logger = datasets.logging.get_logger(__name__)

_DESCRIPTION ="""\

    """

_HOMEPAGE =  ""

_LICENSE = ""

_CITATION = ""

_URL = {
    'data/'
}
_LANGUAGES = [
    "de", "fr", "it", "swiss", "en"
]


class MultiLegalNegConfig(datasets.BuilderConfig):
    
    def __init__(self, name:str, **kwargs):
        super( MultiLegalNegConfig, self).__init__(**kwargs)
        self.name = name
        self.language = name.split("_")[0]

class MultiLegalNeg(datasets.GeneratorBasedBuilder):

    BUILDER_CONFIG_CLASS = MultiLegalNegConfig
    
    BUILDER_CONFIGS = [
        MultiLegalNegConfig(f"{language}")
        for language in _LANGUAGES + ['all']
    ]
    DEFAULT_CONFIG_NAME = 'all_all'
    def _info(self):
        features = datasets.Features(
            {   
                "text": datasets.Value("string"),        
                "spans": [
                    {
                        "start": datasets.Value("int64"),
                        "end": datasets.Value("int64"),
                        "token_start": datasets.Value("int64"),
                        "token_end": datasets.Value("int64"),
                        "label": datasets.Value("string")                     
                    }
                ],
                "tokens": [
                    {
                        "text": datasets.Value("string"),
                        "start": datasets.Value("int64"),
                        "end": datasets.Value("int64"),
                        "id": datasets.Value("int64"),
                        "ws": datasets.Value("bool")
                    }
                ]
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features = features,
            homepage = _HOMEPAGE,
            citation=_CITATION
        )
    
    def _split_generators(self, dl_manager):
        languages = _LANGUAGES if self.config.language == "all" else [self.config.language]

        data_files = {
            "train": [
                "data/train/it_train.jsonl.xz",
                "data/train/fr_train.jsonl.xz",
                "data/train/de_train.jsonl.xz",
                "data/train/swiss_train.jsonl.xz",
                "data/train/en_sherlock_train.jsonl.xz",
                "data/train/en_sfu_train.jsonl.xz",
                "data/train/en_bioscope_train.jsonl.xz"
            ],
            "test": [
                "data/test/it_test.jsonl.xz",
                "data/test/fr_test.jsonl.xz",
                "data/test/de_test.jsonl.xz",
                "data/test/swiss_test.jsonl.xz",
                "data/test/en_sherlock_test.jsonl.xz",
                "data/test/en_sfu_test.jsonl.xz",
                "data/test/en_bioscope_test.jsonl.xz"
            ],
            "validation": [
                "data/validation/it_validation.jsonl.xz",
                "data/validation/fr_validation.jsonl.xz",
                "data/validation/de_validation.jsonl.xz",
                "data/validation/swiss_validation.jsonl.xz",
                "data/validation/en_sherlock_validation.jsonl.xz",
                "data/validation/en_sfu_validation.jsonl.xz",
                "data/validation/en_bioscope_validation.jsonl.xz"
            ]
        }

        split_generators = []
        for split in data_files.keys():
            filepaths = []
            for file_name in data_files[split]:
                try: 
                    filepaths.append(dl_manager.download((f'{file_name}')))
                except:
                    break 
            split_generators.append(datasets.SplitGenerator(name=split, gen_kwargs={'filepaths': filepaths}))

        return split_generators

    def _generate_examples(self, data):
        id_ = 0
        for filepath in filepaths:
            if filepath:
                logger.info("Generating examples from = %s", filepath)
                try:
                    with xz.open(open(filepath,'rb'), 'rt', encoding='utf-8') as f:
                        json_list = list(f)
                    
                    for json_str in json_list:
                        example = json.loads(json_str)
                        if example is not None and isinstance(example, dict):
                            yield id_, example
                            id_ +=1

                except Exception:
                    logger.exception("Error while processing file %s", filepath)