Testing and Debugging

Motivation: Ensure the reliability and stability of the switchvsversion tool. This involves writing unit tests, integration tests, and using debugging tools to identify and fix bugs.

Unit Tests

Unit tests are used to verify the functionality of individual functions and modules.

• How to write unit tests:
  • Use the unittest module in Python.
  • Write tests for each function, method, and class.
  • Aim for high code coverage, ensuring all lines of code are executed at least once during testing.
• Example:

  import unittest
            
            def add(x, y):
                return x + y
            
            class TestAdd(unittest.TestCase):
                def test_add_positive(self):
                    self.assertEqual(add(2, 3), 5)
            
                def test_add_negative(self):
                    self.assertEqual(add(-2, 3), 1)
            
                def test_add_zero(self):
                    self.assertEqual(add(2, 0), 2)
            
            if __name__ == '__main__':
                unittest.main()
            

Source: https://docs.python.org/3/library/unittest.html

Integration Tests

Integration tests verify how different parts of the application interact with each other. They can be used to test the interactions between modules, components, or services.

• How to write integration tests:
  • Use a combination of mock objects and real components to simulate interactions between different parts of the application.
  • Focus on testing the flow of data and functionality across different modules.
• Example:

  import unittest
            from your_module import YourClass
            
            class TestIntegration(unittest.TestCase):
                def test_integration_scenario(self):
                    # Create mock objects
                    mock_dependency = Mock()
            
                    # Create an instance of the class under test
                    instance = YourClass(mock_dependency)
            
                    # Call the method under test
                    result = instance.do_something()
            
                    # Assert the expected outcome
                    self.assertEqual(result, expected_value)
            
            if __name__ == '__main__':
                unittest.main()
            

Source: https://docs.python.org/3/library/unittest.html

Debugging Tools

Debugging tools are essential for identifying and fixing bugs.

• Python Debugger (pdb):
  • Allows you to step through code line by line, inspect variables, and execute code in the debugger.
  • How to use: import pdb; pdb.set_trace() in your code to enter the debugger.
• Integrated Development Environment (IDE) Debugger:
  • Most IDEs provide built-in debuggers with similar features to pdb.
  • How to use: Refer to the documentation of your IDE.
• Logging:
  • Useful for debugging complex issues by recording information about the application’s execution.
  • How to use: Use the logging module in Python to record events, messages, and errors.

Source: https://docs.python.org/3/library/pdb.html https://docs.python.org/3/library/logging.html