import os
import datasets
import json
from pathlib import Path

_ROOT = Path(__file__).resolve().parent

_DATA_POS = {
    "train": "./data/g_train.json", 
    "test": "./data/g_test.json", 
    "val": "./data/g_dev.json", 
    "extra": "./data/augmented_train.json"
}

_DESCIPTION = "contains original ontonotes train/dev/test dataset from  https://github.com/shimaokasonse/NFGEC, as well as newly augmented training dataset. "


class ontonotes(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCIPTION,
            features=datasets.Features({
                "mention_span": datasets.Value("string"),
                "right_context_token": datasets.Value("string"),
                "left_context_token": datasets.Value("string"),
                "y_str": datasets.Sequence(datasets.Value("string")),
                "y_type_str": datasets.Sequence(datasets.Value("string")),
                "y": datasets.Sequence(datasets.Value("int32")),
                "y_type": datasets.Sequence(datasets.Value("int32")),
                "annot_id": datasets.Value("string"),
            })
        )
    
    def _split_generators(self, dl_manager):
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "path": _DATA_POS["train"], "split": "train"
                }
                
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "path": _DATA_POS["test"], "split": "test"
                }
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "path": _DATA_POS["val"], "split": "val"
                }
            ),
            datasets.SplitGenerator(
                name="extra",
                gen_kwargs={
                    "path": _DATA_POS["extra"], "split": "extra"
                }
            )
        ]
    
    def _generate_examples(self, path, split):
        # f 是多行 JSON
        with open(path, "r") as f:
            data = [json.loads(line) for line in f]
                    
        for i, example in enumerate(data):
            yield i, {
                "mention_span": example["mention_span"],
                "right_context_token": example["right_context_token"],
                "left_context_token": example["left_context_token"],
                "y_str": example["y_str"],
                "y_type_str": example["y_type_str"],
                "y": example["y"],
                "y_type": example["y_type"],
                "annot_id": example["annot_id"]
            }