import unittest
class TestPrioritization(unittest.TestCase):
def setUp(self):
# Each test case is a dict with name, risk (1-5), impact (1-5)
self.test_cases = [
{'name': 'Login Test', 'risk': 5, 'impact': 4},
{'name': 'Signup Test', 'risk': 3, 'impact': 3},
{'name': 'Payment Test', 'risk': 4, 'impact': 5},
{'name': 'Profile Update Test', 'risk': 2, 'impact': 2},
{'name': 'Logout Test', 'risk': 1, 'impact': 1}
]
def test_prioritize_and_select_top_three(self):
# Sort test cases by combined risk and impact descending
sorted_tests = sorted(
self.test_cases,
key=lambda x: x['risk'] + x['impact'],
reverse=True
)
# Select top 3
top_three = sorted_tests[:3]
# Assert sorting correctness
combined_scores = [tc['risk'] + tc['impact'] for tc in sorted_tests]
self.assertEqual(combined_scores, sorted(combined_scores, reverse=True))
# Assert top three length
self.assertEqual(len(top_three), 3)
# Assert top three are highest scoring
max_scores = sorted(combined_scores, reverse=True)[:3]
top_three_scores = [tc['risk'] + tc['impact'] for tc in top_three]
self.assertEqual(top_three_scores, max_scores)
# Print selected test case names (simulate execution)
for test in top_three:
print(f"Executing: {test['name']}")
if __name__ == '__main__':
unittest.main()The setUp method prepares a list of test cases with risk and impact scores.
The test method test_prioritize_and_select_top_three sorts the test cases by the sum of risk and impact in descending order. It then selects the top three test cases.
Assertions check that the sorting is correct, the top three are selected, and these top three have the highest combined scores.
Finally, it prints the names of the selected test cases to simulate execution.
This approach keeps test data separate, uses clear variable names, and validates the prioritization logic with assertions.
