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import pytest
import pandas as pd
from unittest.mock import patch, MagicMock
from app.boxplot import plot_boxplot
# Fixture for valid test data
@pytest.fixture
def valid_data():
"""Fixture to provide valid intensity values for all conditions."""
return pd.DataFrame({
"SampleId": [1, 2, 3, 4],
"condition": ["Healthy", "VEDOSS", "SSC_low", "SSC_high"],
"Intensity": [10, 20, 15, 25]
})
# Fixture for invalid test data
@pytest.fixture
def invalid_data():
"""Fixture to provide invalid intensity values (zero or negative)."""
return pd.DataFrame({
"SampleId": [1, 2, 3, 4],
"condition": ["Healthy", "VEDOSS", "SSC_low", "SSC_high"],
"Intensity": [-10, 0, 15, 25]
})
@pytest.fixture
def protein_name():
"""Fixture for test protein name."""
return "Test Protein"
@patch("matplotlib.pyplot.show")
@patch("matplotlib.pyplot.subplots")
def test_plot_boxplot(mock_subplots, mock_show, valid_data, protein_name):
"""Test that the plot_boxplot function initializes the plot and creates a boxplot."""
# Mock figure and axes
mock_fig = MagicMock()
mock_ax = MagicMock()
mock_subplots.return_value = (mock_fig, mock_ax)
# Call the function
plot_boxplot(valid_data, protein_name)
# Verify that plt.subplots is called with correct parameters
mock_subplots.assert_called_once_with(figsize=(12, 8))
# Verify that the boxplot method is called on the axes
mock_ax.boxplot.assert_called_once()
# Verify that plt.show() is called to display the plot
mock_show.assert_called_once()
def test_invalid_data_raises_error(invalid_data, protein_name):
"""Test that plot_boxplot raises a ValueError for zero or negative intensity values."""
with pytest.raises(ValueError, match="contains zero or negative values"):
plot_boxplot(invalid_data, protein_name)
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