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|
import pytest
@pytest.mark.asyncio
@pytest.mark.parametrize(
"output_data, expected_total_energy, test_id",
[
# Happy path tests with various realistic test values
(
{
"data": {
"p1": 5000.0,
"p2": 3000.0,
"te1": 0.0,
"te2": 0.0,
"e1": 0.0,
"e2": 0.0,
}, "status": 0
},
8000.0,
"happy_path_1",
),
(
{
"data": {
"p1": 1234.56,
"p2": 789.01,
"te1": 0.0,
"te2": 0.0,
"e1": 0.0,
"e2": 0.0,
}, "status": 0
},
2023.57,
"happy_path_2",
),
# Edge cases
(
{
"data": {
"p1": 0.0,
"p2": 3000.0,
"te1": 0.0,
"te2": 0.0,
"e1": 0.0,
"e2": 0.0,
}, "status": 0
},
3000.0,
"edge_case_1",
),
(
{
"data": {
"p1": 3000.0,
"p2": 0.0,
"te1": 0.0,
"te2": 0.0,
"e1": 0.0,
"e2": 0.0,
}, "status": 0
},
3000.0,
"edge_case_2",
),
## Error cases
(None, None, "error_case_1"),
],
)
async def test_get_total_output(
output_data, expected_total_energy, test_id, mock_response
):
# Arrange
ez1m = mock_response(output_data)
# Act
total_energy = await ez1m.get_total_output()
# Assert
assert total_energy == expected_total_energy, f"Test failed for {test_id}"
|
