import pytest
from unittest.mock import patch, MagicMock
from tmodelviz.visualizer import plotviz

@patch('tmodelviz.visualizer.load_and_simulate')
@patch('tmodelviz.visualizer.calculate_rolling_average')
@patch('tmodelviz.visualizer.extract_fluxes')
@patch('tmodelviz.visualizer.plt.show')
def test_plotviz(mock_show, mock_extract_fluxes, mock_calculate_rolling_average, mock_load_and_simulate):
    # Mock the return values of the dependencies
    mock_runner = MagicMock()
    mock_runner.getFloatingSpeciesIds.return_value = ['A', 'B', 'C']
    mock_runner.getReactionRates.return_value = [0.1, 0.2, 0.3]
    mock_load_and_simulate.return_value = (mock_runner, [[0, 1, 2, 3], [1, 2, 3, 4], [2, 3, 4, 5]])
    mock_calculate_rolling_average.return_value = [1, 1, 1]
    mock_extract_fluxes.return_value = ([0.1, 0.2, 0.3], ['R1', 'R2', 'R3'])

    # Call the function to test
    plotviz('dummy_model_input')

    # Assertions to ensure the mocks were called as expected
    mock_load_and_simulate.assert_called_once_with('dummy_model_input', 0, 10, 101)
    mock_calculate_rolling_average.assert_called()
    mock_extract_fluxes.assert_called()
    mock_show.assert_called_once()

    # Additional checks can be added here to verify the internal state and outputs

if __name__ == "__main__":
    pytest.main()