from __future__ import annotations

import json
from pathlib import Path

from datasets import Features, Sequence, Value

ROOT = Path(__file__).parent

FEATURES = Features(
    {
        "pair_id": Value("string"),
        "task_family": Value("string"),
        "task_id": Value("string"),
        "option_id": Value("string"),
        "option_description": Value("string"),
        "natural_image": Value("string"),
        "tactile_image": Value("string"),
        "votes_total": Value("int32"),
        "positives": Value("int32"),
        "negatives": Value("int32"),
        "vote_fraction": Value("float32"),
        "label": Value("int32"),
        "source_assignments": Value("int32"),
        "status_counts": Sequence(
            Features({
                "status": Value("string"),
                "count": Value("int32"),
            })
        ),
        "used_consensus": Value("bool"),
    }
)

CONFIGS = {
    "full": {
        "description": "All families and options with the official splits.",
        "data_files": {
            "train": "processed/splits/train.jsonl",
            "validation": "processed/splits/val.jsonl",
            "test": "processed/splits/test.jsonl",
        },
    },
}

for family in ["F1", "F2", "F3", "F4", "F5", "F6"]:
    CONFIGS[f"family_{family.lower()}"] = {
        "description": f"Family {family} only.",
        "data_files": {
            "train": f"processed/family_splits/{family}/train.jsonl",
            "validation": f"processed/family_splits/{family}/val.jsonl",
            "test": f"processed/family_splits/{family}/test.jsonl",
        },
    }


def count_examples(path: Path) -> int:
    with path.open("r", encoding="utf-8") as handle:
        return sum(1 for _ in handle)


def build_split_info(rel_path: str) -> tuple[int, int]:
    path = ROOT / rel_path
    num_bytes = path.stat().st_size
    num_examples = count_examples(path)
    return num_examples, num_bytes


def build_config_entry(name: str, data_files: dict) -> dict:
    splits = {}
    dataset_size = 0
    for split_name, rel_path in data_files.items():
        num_examples, num_bytes = build_split_info(rel_path)
        dataset_size += num_bytes
        splits[split_name] = {
            "name": split_name,
            "num_examples": num_examples,
            "num_bytes": num_bytes,
        }
    return {
        "description": CONFIGS[name]["description"],
        "citation": """@misc{khan2026tactileevalstepautomatedfinegrained, title={TactileEval: A Step Towards Automated Fine-Grained Evaluation and Editing of Tactile Graphics}, author={Adnan Khan and Abbas Akkasi and Majid Komeili}, year={2026}, eprint={2604.19829}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2604.19829}}""",
        "homepage": "https://tactileeval.github.io/",
        "license": "mit",
        "features": FEATURES.to_dict(),
        "splits": splits,
        "download_size": dataset_size,
        "dataset_size": dataset_size,
        "config_name": name,
        "data_files": {
            split: [{"filename": rel_path}] for split, rel_path in data_files.items()
        },
        "default_validation_split": "validation" if "validation" in data_files else None,
    }


def main() -> None:
    info = {
        name: build_config_entry(name, cfg["data_files"])
        for name, cfg in CONFIGS.items()
    }
    output_path = ROOT / "dataset_infos.json"
    with output_path.open("w", encoding="utf-8") as handle:
        json.dump(info, handle, indent=2)
    print(f"Wrote {output_path}")


if __name__ == "__main__":
    main()