import pickle
import time

from src.gnn.train import train_gnn
from src.gnn.evaluate import evaluate_gnn


def main():
    start = time.time()

    with open("data/graph/graph.pkl", "rb") as f:
        graph_data = pickle.load(f)

    model = train_gnn(graph_data)

    end = time.time()

    print("Training complete")
    print(f"Total runtime: {end - start:.2f} seconds")

    roc, pr = evaluate_gnn(model, graph_data)

    print(f"GNN ROC-AUC: {roc:.4f}")
    print(f"GNN PR-AUC: {pr:.4f}")

if __name__ == "__main__":
    main()