import json
from collections import defaultdict
from enum import Enum
from types import SimpleNamespace

from dataclasses import dataclass
import datasets

from licenses import License
from licenses import Licenses


BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>")


@dataclass
class BigBioConfig(datasets.BuilderConfig):
    """BuilderConfig for BigBio."""

    name: str = None
    version: datasets.Version = None
    description: str = None
    schema: str = None
    subset_id: str = None




# shamelessly compied from:
# https://github.com/huggingface/datasets/blob/master/src/datasets/utils/metadata.py
langs_json = json.load(open("languages.json", "r"))
langs_dict = {k.replace("-", "_").upper(): v for k, v in langs_json.items()}
Lang = Enum("Lang", langs_dict)


METADATA: dict = {
    "_LOCAL": bool,
    "_LANGUAGES": Lang,
    "_PUBMED": bool,
    "_LICENSE": License,
    "_DISPLAYNAME": str,
}


class Tasks(Enum):
    NAMED_ENTITY_RECOGNITION = "NER"
    NAMED_ENTITY_DISAMBIGUATION = "NED"
    EVENT_EXTRACTION = "EE"
    RELATION_EXTRACTION = "RE"
    COREFERENCE_RESOLUTION = "COREF"
    QUESTION_ANSWERING = "QA"
    TEXTUAL_ENTAILMENT = "TE"
    SEMANTIC_SIMILARITY = "STS"
    PARAPHRASING = "PARA"
    TRANSLATION = "TRANSL"
    SUMMARIZATION = "SUM"
    TEXT_CLASSIFICATION = "TXTCLASS"


entailment_features = datasets.Features(
    {
        "id": datasets.Value("string"),
        "premise": datasets.Value("string"),
        "hypothesis": datasets.Value("string"),
        "label": datasets.Value("string"),
    }
)