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import pytest
from APsystemsEZ1 import ReturnOutputData
@pytest.mark.asyncio
@pytest.mark.parametrize(
"response_data, expected_output, test_id",
[
# Happy path tests with various realistic test values
(
{
"data": {
"p1": 100.0,
"e1": 50.0,
"te1": 500.0,
"p2": 200.0,
"e2": 75.0,
"te2": 750.0,
}, "status": 0
},
ReturnOutputData(
p1=100.0, e1=50.0, te1=500.0, p2=200.0, e2=75.0, te2=750.0
),
"happy_path_1",
),
(
{
"data": {
"p1": 0.0,
"e1": 0.0,
"te1": 0.0,
"p2": 0.0,
"e2": 0.0,
"te2": 0.0,
}, "status": 0
},
ReturnOutputData(p1=0.0, e1=0.0, te1=0.0, p2=0.0, e2=0.0, te2=0.0),
"happy_path_2",
),
# Edge cases
(
{
"data": {
"p1": -1.0,
"e1": -1.0,
"te1": -1.0,
"p2": -1.0,
"e2": -1.0,
"te2": -1.0,
}, "status": 0
},
ReturnOutputData(p1=-1.0, e1=-1.0, te1=-1.0, p2=-1.0, e2=-1.0, te2=-1.0),
"edge_case_negative_values",
),
],
)
async def test_get_output_data_happy_paths(
response_data, expected_output, test_id, mock_response
):
# Arrange
ez1m = mock_response(response_data)
# Act
result = await ez1m.get_output_data()
# Assert
assert result == expected_output
@pytest.mark.asyncio
@pytest.mark.parametrize(
"response_data, test_id",
[
# Error cases
({"data": {}, "status": 0}, "error_case_empty_data"),
],
)
async def test_get_output_data_error_empty_data(response_data, test_id, mock_response):
# Arrange
ez1m = mock_response(response_data)
# Assert
with pytest.raises(TypeError) as exc_info:
await ez1m.get_output_data()
assert "missing 6 required positional arguments" in str(
exc_info.value
), f"Test Failed: {test_id}"
@pytest.mark.asyncio
@pytest.mark.parametrize(
"response_data, test_id",
[
# Error cases
(None, "error_case_none_response"),
],
)
async def test_get_output_data_error_no_response(response_data, test_id, mock_response):
# Arrange
ez1m = mock_response(response_data)
# Act
result = await ez1m.get_output_data()
# Assert
assert result is None
|
