# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# limitations under the License.

# Lint as: python3
"""CC-NEWS-ES: CC-NEWS in Spanish."""


import json
import os
import datasets
from datasets.tasks import Summarization


logger = datasets.logging.get_logger(__name__)


_CITATION = """ """
_DESCRIPTION = ""
_HOMEPAGE = ""

_LICENSE = ""

class CCNewsESConfig(datasets.BuilderConfig):
    """BuilderConfig for CCNewsES."""

    def __init__(self, **kwargs):
        """BuilderConfig for CCNewsES.
        Args:
          **kwargs: keyword arguments forwarded to super.
        """
        super(CCNewsESConfig, self).__init__(**kwargs)
        
class CCNewsES(datasets.GeneratorBasedBuilder):
    """Title generation dataset in Spanish from CC-NEWS"""
    VERSION = datasets.Version("1.0.0")
    
    BUILDER_CONFIGS = [
        CCNewsESConfig(name=domain) for domain in ["ar","bo","br","cl","co","com","cr","es","gt","hn","mx","ni","pa","pe","pr","py","sv","uy","ve"]
    ]
    
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "country": datasets.Value("string"),
                    "text": datasets.Value("string"),
                    "id": datasets.Value("int32"),
                }
            ),
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )
    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        name = self.config.name
        _URL = f"https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES/resolve/main/{name}.zip"        
        train = dl_manager.download_and_extract(_URL)
        if name in ["com", "es", "mx"]:
            files = os.listdir(train)
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": [os.path.join(train, f) for f in files]})
            ]
        else:        
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": [os.path.join(train, f"{name}.json")]})
            ]

                
    def _generate_examples(self, filepath):
        logger.info("generating examples from = %s", filepath)
        data = []
        for f in filepath:
            with open(f, "r") as f:
                data = json.load(f)
                for idx, obs in enumerate(data):
                    yield idx, obs