Python Decorators in Selenium Test Frameworks

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Python Decorators in Selenium Test Frameworks

When building Selenium test automation frameworks, code reusability and clean structure are crucial. One powerful Python feature that supports this is decorators.

What Are Python Decorators?

A decorator is a design pattern in Python that allows you to modify or enhance the functionality of a function or method without changing its actual code. They are commonly used to add reusable logic, like logging, authentication, or timing, to functions in a clean way.

How Do Decorators Help in Selenium Frameworks?

In Selenium-based automation frameworks, decorators can be used to:

• Log test execution details (e.g., start and end times).

• Handle exceptions gracefully and capture screenshots on failure.

• Measure execution time of test cases.

• Apply preconditions or environment setup before running a test.

Example: Using a Decorator for Logging in Selenium Tests

python
from functools import wraps
import time

def log_test(func):
    @wraps(func)
    def wrapper(*args, **kwargs):
        print(f"Starting test: {func.__name__}")
        start_time = time.time()
        result = func(*args, **kwargs)
        end_time = time.time()
        print(f"Completed test: {func.__name__} in {end_time - start_time:.2f} seconds")
        return result
    return wrapper

# Applying decorator to a Selenium test case
@log_test
def test_google_search(driver):
    driver.get("https://www.google.com")
    assert "Google" in driver.title

In this example, the @log_test decorator adds logging and execution timing to the test function without modifying its core logic.

Using decorators in Selenium frameworks ensures clean, maintainable, and reusable code, which is essential for building scalable automation projects.

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