from pathlib import Path
import sys

ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))

from model.gcrm_convectionnn import load_yaml, run_inference

if __name__ == "__main__":
    config = load_yaml(ROOT / "conf/config.yaml")
    result = run_inference(str(ROOT / config["paths"]["data"]), str(ROOT / config["paths"]["checkpoint"]),
                           str(ROOT / config["paths"]["predictions"]), config)
    print(f"saved inputs={result['inputs'].shape}, predictions={result['prediction'].shape}, lrf={result['lrf_full'].shape}")