from __future__ import annotations

import argparse
import json

from common import load_config
from dynafall.train_eval import evaluate_checkpoint


SCENARIOS = [
    ("clean", 0.0),
    ("missing", 0.10),
    ("missing", 0.20),
    ("missing", 0.30),
    ("lower_body", 0.0),
    ("upper_body", 0.0),
    ("low_conf", 0.0),
]


def main() -> None:
    ap = argparse.ArgumentParser()
    ap.add_argument("--dataset", required=True)
    ap.add_argument("--methods", nargs="+", default=["stgcn", "agcn", "ctrgcn", "posec3d", "tcnte", "dynafall"])
    ap.add_argument("--config", default="configs/default.yaml")
    args = ap.parse_args()
    cfg = load_config(args.config)
    results = []
    for method in args.methods:
        for mode, amount in SCENARIOS:
            name = f"{mode}_{int(amount * 100)}" if mode == "missing" else mode
            result = evaluate_checkpoint(
                args.dataset,
                method,
                cfg,
                robustness=mode,
                missing_amount=amount,
                tag=f"robust_{name}",
            )
            result["scenario"] = name
            results.append(result)
            print(json.dumps(result, indent=2))
    print(json.dumps(results, indent=2))


if __name__ == "__main__":
    main()