import datasets
import json
import xml.etree.ElementTree as ET
from datasets import BuilderConfig, DatasetInfo, DownloadManager, GeneratorBasedBuilder, Features, SplitGenerator, Value
from typing import Any, Dict, Iterator, List, Tuple, Union

class KakologArchivesConfig(BuilderConfig):
    def __init__(self, channel_id: Union[str, None] = None, year: Union[int, None] = None, number_of_files: Union[int, None] = None, **kwargs):
        super(KakologArchivesConfig, self).__init__(**kwargs)
        self.channel_id = channel_id
        self.year = year
        self.number_of_files = number_of_files

class KakologArchivesDatasetBuilder(GeneratorBasedBuilder):
    VERSION = '1.0.0'
    BUILDER_CONFIGS = [
        KakologArchivesConfig(
            name = 'all',
            version = VERSION,
            description = '全チャンネル/全期間のすべての過去ログコメントを取得します。180GB 近くあるため注意してください。',
        ),
        KakologArchivesConfig(
            name='sample',
            version = VERSION,
            description = 'サンプルとして、2022年中に投稿された TOKYO MX (実況チャンネル ID: jk9) のすべての過去ログコメントを取得します。1GB ほどあります。',
            channel_id = 'jk9',
            year = 2022,
        ),
    ]
    DEFAULT_CONFIG_NAME = "all"

    def _info(self) -> DatasetInfo:
        return DatasetInfo(
            description = 'ニコニコ実況のサービス開始から現在までのすべての過去ログコメントのデータセットです。',
            homepage = 'https://jikkyo.tsukumijima.net/',
            features = Features({
                'thread': Value('string'),
                'no': Value('int64'),
                'vpos': Value('int64'),
                'date': Value('int64'),
                'date_usec': Value('int64'),
                'user_id': Value('string'),
                'mail': Value('string', id=None),
                'premium': Value('bool'),
                'anonymity': Value('bool'),
                'content': Value('string'),
            }),
        )

    def _split_generators(self, dl_manager: DownloadManager) -> List[SplitGenerator]:
        def create_relative_paths(json_data: dict[str, Any], current_path: str = "") -> List[str]:
            relative_paths = []
            for key, value in json_data.items():
                new_path = f"{current_path}/{key}" if current_path else key
                if value is None:
                    relative_paths.append(new_path)
                elif isinstance(value, dict):
                    relative_paths.extend(create_relative_paths(value, new_path))
            return relative_paths
        json_file = dl_manager.download('dataset_structure.json')
        with open(json_file, 'r', encoding='utf-8') as f:
            relative_paths = create_relative_paths(json.load(f))
        if self.config.channel_id is not None:
            relative_paths = [path for path in relative_paths if f"{self.config.channel_id}/" in path]
        if self.config.year is not None:
            relative_paths = [path for path in relative_paths if f"/{self.config.year}/" in path]
        if self.config.number_of_files is not None:
            relative_paths = relative_paths[:min(self.config.number_of_files, len(relative_paths))]
        downloaded_files = dl_manager.download(relative_paths)
        return [SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": downloaded_files})]

    def _generate_examples(self, files: List[str]) -> Iterator[Tuple[int, Dict[str, Any]]]:
        for idx_parent, file in enumerate(files):
            with open(file, 'r', encoding='utf-8') as f:
                contents = '<?xml version="1.0" encoding="UTF-8"?><packet>' + f.read() + '</packet>'
                root = ET.fromstring(contents)
                for idx, chat in enumerate(root.iter('chat')):
                    if 'deleted' in chat.attrib:
                        continue
                    chat_attrib = {
                        'thread': chat.attrib.get('thread', 'unknown'),
                        'no': int(chat.attrib.get('no', 0)),
                        'vpos': int(chat.attrib.get('vpos', 0)),
                        'date': int(chat.attrib.get('date', 0)),
                        'date_usec': int(chat.attrib.get('date_usec', 0)),
                        'user_id': chat.attrib.get('user_id', 'unknown'),
                        'mail': chat.attrib.get('mail', None),
                        'premium': chat.attrib.get('premium', '0') == '1',
                        'anonymity': chat.attrib.get('anonymity', '0') == '1',
                    }
                    yield idx_parent * 1000000 + idx, {**chat_attrib, 'content': chat.text}