import os
import json
import datasets

_CITATION = ""  
_DESCRIPTION = ""  


class MedQaMazeConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super().__init__(version=datasets.Version("1.0.0"), **kwargs)


class MedQaMaze(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        MedQaMazeConfig(name="default", description="A default config"),
        MedQaMazeConfig(name="advance", description="Advanced-level test data"),
        MedQaMazeConfig(name="all",     description="Full dataset with train and test"),
        MedQaMazeConfig(name="basic",   description="Basic-level test data"),
        MedQaMazeConfig(name="challenge", description="Challenge-level test data"),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            citation=_CITATION,
            features=datasets.Features({
                "context": datasets.Value("string"),
                "question": datasets.Value("string"),
                "prerequisit": datasets.Value("string"),
                "groundtruth_zoo": datasets.Sequence(datasets.Value("string")),
                "answer": datasets.Value("string"),
            }),
        )

    def _split_generators(self, dl_manager):
        base_path = os.path.dirname(os.path.realpath(__file__))
        config_name = self.config.name

        if config_name == "advance":
            return [
                datasets.SplitGenerator(
                    name=datasets.Split.TEST,
                    gen_kwargs={"filepath": os.path.join(base_path, "advance", "test.jsonl")}
                )
            ]
        elif config_name == "all":
            return [
                datasets.SplitGenerator(
                    name=datasets.Split.TRAIN,
                    gen_kwargs={"filepath": os.path.join(base_path, "all", "train.jsonl")}
                ),
                datasets.SplitGenerator(
                    name=datasets.Split.TEST,
                    gen_kwargs={"filepath": os.path.join(base_path, "all", "test.jsonl")}
                )
            ]
        elif config_name == "basic":
            return [
                datasets.SplitGenerator(
                    name=datasets.Split.TEST,
                    gen_kwargs={"filepath": os.path.join(base_path, "basic", "test.jsonl")}
                )
            ]
        elif config_name == "challenge":
            return [
                datasets.SplitGenerator(
                    name=datasets.Split.TEST,
                    gen_kwargs={"filepath": os.path.join(base_path, "challenge", "test.jsonl")}
                )
            ]

    def _generate_examples(self, filepath):
        """Yields examples."""
        with open(filepath, "r", encoding="utf-8") as f:
            for idx, line in enumerate(f):
                data = json.loads(line)
                yield idx, {
                    "context": data.get("context", ""),
                    "question": data.get("question", ""),
                    "prerequisit": data.get("prerequisit", ""),
                    "groundtruth_zoo": data.get("groundtruth_zoo", []),
                    "answer": data.get("answer", ""),
                }