from __future__ import annotations

import argparse
import json
from pathlib import Path

from src.data.io_utils import read_jsonl, write_csv, write_json
from src.eval.confusion_matrix import confusion_matrix_rows
from src.utils.metrics import classification_metrics


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--predictions", type=Path, required=True)
    parser.add_argument("--label-set", nargs="+", required=True)
    parser.add_argument("--metrics-output", type=Path, required=True)
    parser.add_argument("--confusion-output", type=Path, required=True)
    args = parser.parse_args()

    rows = read_jsonl(args.predictions)
    y_true = [row["gold"] for row in rows]
    y_pred = [row["prediction"] for row in rows]
    metrics = classification_metrics(args.label_set, y_true, y_pred)
    write_json(args.metrics_output, metrics)
    write_csv(args.confusion_output, confusion_matrix_rows(args.label_set, y_true, y_pred))
    print(json.dumps(metrics, indent=2, sort_keys=True))


if __name__ == "__main__":
    main()