import pytest

from pygrex.config import cfg
from pygrex.data_reader.data_reader import DataReader
from pygrex.models.mlp_model import MLPModel
from pygrex.recommender import Recommender


@pytest.fixture
def setup_data():
    mlp = MLPModel(**cfg.model.mlp)
    data = DataReader(**cfg.data.testdata)
    data.make_consecutive_ids_in_dataset()
    data.binarize()
    return mlp, data


def test_train_mlp(setup_data):
    mlp, data = setup_data
    mlp.fit(data)
    # Directly predict for a single valid item after fit
    _ = mlp.predict(0, 0)