"""Train every routed model from the external SQLite material dataset."""

import argparse
import json
from pathlib import Path

from lmpm.training.workflow import train_sqlite_database


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(
        description="Train LMPM target models from a completed SQLite dataset."
    )
    parser.add_argument(
        "database", type=Path, help="SQLite database with material_records"
    )
    parser.add_argument(
        "artifact", type=Path, help="Destination .joblib model artifact"
    )
    return parser.parse_args()


def main() -> None:
    args = parse_args()
    bundle = train_sqlite_database(args.database, args.artifact)
    report_path = args.artifact.with_suffix(".metrics.json")
    report_path.write_text(
        json.dumps(bundle.report(), ensure_ascii=False, indent=2) + "\n",
        encoding="utf-8",
    )
    print(f"saved model artifact: {args.artifact}")
    print(f"saved validation report: {report_path}")


if __name__ == "__main__":
    main()