from helical import CaduceusFineTuningModel, CaduceusConfig
import hydra
from omegaconf import DictConfig

@hydra.main(version_base=None, config_path="../run_models/configs", config_name="caduceus_config")
def run_fine_tuning(cfg: DictConfig):
    input_sequences = ["ACT"*20, "ATG"*10, "ATG"*20, "CTG"*10, "TTG"*20]
    labels = [0, 2, 2, 0, 1]

    caduceus_config = CaduceusConfig(**cfg)
    caduceus_fine_tune = CaduceusFineTuningModel(caduceus_config=caduceus_config, fine_tuning_head="classification", output_size=3)

    train_dataset = caduceus_fine_tune.process_data(input_sequences)

    caduceus_fine_tune.train(train_dataset=train_dataset, train_labels=labels)

    outputs = caduceus_fine_tune.get_outputs(train_dataset)
    print(outputs.shape)

if __name__ == "__main__":
    run_fine_tuning()