global contact unit test

1 answer

Creating a global contact unit test requires an understanding of the framework you are using as well as the specific behavior you want to validate. Below is a general example of how to write a unit test for a global contact function or class in a typical programming environment, let’s say Python. For this example, I will assume that you have a Contact class that encapsulates contact details.

Example: Contact Class

class Contact:
    def __init__(self, first_name, last_name, email):
        self.first_name = first_name
        self.last_name = last_name
        self.email = email

    def get_full_name(self):
        return f"{self.first_name} {self.last_name}"

    def is_valid_email(self):
        return '@' in self.email and '.' in self.email.split('@')[-1]

Unit Test for Contact Class

Here is an example of a unit test for the Contact class using the unittest framework in Python:

import unittest

class TestContact(unittest.TestCase):

    def setUp(self):
        self.contact = Contact("John", "Doe", "[email protected]")

    def test_full_name(self):
        self.assertEqual(self.contact.get_full_name(), "John Doe")

    def test_valid_email(self):
        self.assertTrue(self.contact.is_valid_email())

    def test_invalid_email_missing_at_symbol(self):
        contact = Contact("Jane", "Doe", "janedoemail.com")
        self.assertFalse(contact.is_valid_email())

    def test_invalid_email_missing_domain(self):
        contact = Contact("Jane", "Doe", "[email protected]")
        self.assertFalse(contact.is_valid_email())

if __name__ == '__main__':
    unittest.main()

Explanation

  1. Test Class: The TestContact class subclasses unittest.TestCase, which allows you to create a suite of tests for the Contact class.

  2. setUp: This method sets up the initial conditions before each test method. Here, it creates an instance of the Contact class.

  3. Test Methods: Each method that begins with test_ is a separate unit test.

    • test_full_name: Checks if the full name is returned correctly.
    • test_valid_email: Validates that a proper email returns True.
    • test_invalid_email_missing_at_symbol: Checks for an invalid email missing the "@".
    • test_invalid_email_missing_domain: Validates that an email missing a domain returns False.

Running the Tests

You can run the tests by saving the code in a Python file and executing it. If you're working within an IDE, you may have tools to run tests directly.

This setup can be adapted to any language and framework you might be using. The core idea of unit testing remains consistent—testing various aspects of classes or functions in isolation to ensure they behave as expected.