import os
import datetime

import tensorflow as tf
import tensorflow_hub as hub


def save_model(model, suffix=None):
    """
    Saves a given model in a models directory and appends a suffix (str)
    for clarity and reuse.
    """
    # Create model directory with current time
    modeldir = os.path.join(
        "../models", datetime.datetime.now().strftime("%Y%m%d-%H%M%s")
    )
    model_path = modeldir + "-" + suffix + ".h5"  # save format of model
    print(f"Saving model to: {model_path}...")
    model.save(model_path)
    return model_path


def load_model(model_path):
    """
    Loads a saved model from a specified path.
    """
    print(f"Loading saved model from: {model_path}")
    model = tf.keras.models.load_model(
        model_path, custom_objects={"KerasLayer": hub.KerasLayer}
    )
    return model