# coding=utf-8
'''DiscEvalMT: DiscEvalMT: Contrastive test sets for the evaluation of discourse in machine translation (v2)'''

import json
import datasets

logger = datasets.logging.get_logger(__name__)

_CITATION = '''\
@inproceedings{bawden-etal-2018-evaluating,
    title = "Evaluating Discourse Phenomena in Neural Machine Translation",
    author = "Bawden, Rachel and Sennrich, Rico and Birch, Alexandra and Haddow, Barry",
    booktitle = {{Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)}},
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/N18-1118",
    doi = "10.18653/v1/N18-1118",
    pages = "1304--1313"
}
'''

_DESCRIPTION = '''\
English-French hand-crafted contrastive test set to test anaphora and lexical choice
'''
 
_URLS = {
    'test-lexical_choice': 'lexical_choice.json',
    'test-anaphora': 'anaphora.json'
}


class DiscEvalMTConfig(datasets.BuilderConfig):
    '''BuilderConfig for DiscEvalMT.'''
    

    def __init__(self, **kwargs):
        """BuilderConfig for DiscEvalMT.

        Args:
          **kwargs: keyword arguments forwarded to super.
        """
        self.type = kwargs.pop("type", None)
        super(DiscEvalMTConfig, self).__init__(**kwargs)

        


class DiscEvalMT(datasets.GeneratorBasedBuilder):
    '''DiscEvalMT: English-French contrastive test set for 2 discourse phenomena (anaphora and lexical cohesion)'''

    BUILDER_CONFIG_CLASS = DiscEvalMTConfig
    BUILDER_CONFIGS = [
        DiscEvalMTConfig(
            type='anaphora',
            filename='test-anaphora',
            version=datasets.Version('2.0.0', ''),
        ),
        DiscEvalMTConfig(
            type='lexical choice',
            filename='test-lexical_choice',
            version=datasets.Version('2.0.0', ''),
        ),
    ]

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download_and_extract(_URLS)

        print(self.config.type)
        return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={'filepath': downloaded_files[filename]}),
               ]