"""Create GenomeQA 3_species_cls subsets grouped by target organism."""

import argparse
import json
from pathlib import Path

from datasets import load_dataset


DATASET_ID = "HuggingFaceBio/genomeqa"
SOURCE_REVISION = "d2213306c6cf5b4568a504f87f86ea50b03eeced"
SOURCE_CONFIGS = ("binary", "mcq")
ORGANISMS = ("eukaryote", "prokaryote")
SUBTASK = "3_species_cls"
ORGANISM_KEY_BY_DIMENSION = {
    "1_identity": "true",
    "basic_class": "true",
    "reverse_search": "target",
    "odd_one_out": "minority",
}


def get_organism(metadata: str) -> str:
    metadata_dict = json.loads(metadata)
    dimension = metadata_dict["dim"]
    return metadata_dict[ORGANISM_KEY_BY_DIMENSION[dimension]]


def create_subsets(config: str, output_dir: Path) -> None:
    dataset = load_dataset(DATASET_ID, config, split="train", revision=SOURCE_REVISION)
    species_dataset = dataset.filter(lambda example: example["subtask"] == SUBTASK)

    for organism in ORGANISMS:
        subset = species_dataset.filter(
            lambda example, organism=organism: get_organism(example["metadata"]) == organism
        )
        if not subset:
            raise RuntimeError(f"No {organism} rows found in {config}")
        if any(get_organism(metadata) != organism for metadata in subset["metadata"]):
            raise RuntimeError(f"Generated {config}_{organism} subset contains another organism")

        config_dir = output_dir / f"{config}_{organism}"
        config_dir.mkdir(parents=True, exist_ok=True)
        subset.to_parquet(config_dir / "train-00000-of-00001.parquet")


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--output-dir", type=Path, default=Path.cwd())
    args = parser.parse_args()

    for config in SOURCE_CONFIGS:
        create_subsets(config, args.output_dir)


if __name__ == "__main__":
    main()