Selocity is a Python library that enhances Selenium's reliability.
Project description
Selocity
Selocity is a Python library that enhances Selenium's reliability by automatically handling stale elements. With its caching decorators and proxy-based approach, your Selenium tests become more robust and less prone to flakiness caused by dynamic web pages.
Features
- Automatic Re-Fetching: Seamlessly recovers from
StaleElementReferenceExceptionby re-fetching WebElements. - Decorators for Caching: Use
@resilient_cached_webelementand@resilient_cached_webelementsto cache elements or lists of elements. - Proxy-Based Wrapping: Every WebElement is wrapped in a proxy that logs attribute accesses and method calls.
- Retry Mechanism: Uses a polling strategy with configurable intervals and timeouts to ensure element stability.
Installation
Install Selocity directly from our GitLab artifact repository. You can add the following to your requirements.txt:
--extra-index-url https://gitlab.developers.cam.ac.uk/api/v4/projects/10297/packages/pypi/simple
selocity==0.2.0
Or install it via pip:
pip install git+https://gitlab.developers.cam.ac.uk/uis/qa/selocity.git#egg=selocity
Usage
Selocity provides two main decorators:
@resilient_cached_webelementCaches a singleWebElement. If the element becomes stale, the proxy automatically re-fetches and updates the cached reference.@resilient_cached_webelementsCaches a list ofWebElements and re-fetches them if any element in the list becomes stale.
How They Work
-
Caching on First Access: When you first access a decorated element method, the library attempts to fetch the element. If it isn’t immediately available (raising a
NoSuchElementException), it retries until the element is found or a timeout is reached. -
Proxy Wrapping: The fetched element is wrapped in a proxy object. This proxy intercepts all attribute accesses and method calls.
-
Automatic Recovery: If a
StaleElementReferenceExceptionis encountered during any operation, the proxy uses the original locator function to re-fetch the element, ensuring that your tests continue running smoothly. -
Logging and Debugging: Detailed logs help you understand when and why elements are being re-fetched, which aids in debugging flaky tests.
Benefits
- Improved Test Stability: Automatically handles dynamic changes in the DOM.
- Reduced Flakiness: Ensures that transient issues with stale elements don’t break your tests.
- Seamless POM Integration: Easily integrate with your Page Object Model (POM) without significant code changes.
- Efficient Error Recovery: Retries operations with a built-in polling mechanism, making your tests more resilient.
Example: Basic Page Object Model (POM)
Below is a simple example showing how to use the decorators in a basic POM structure:
from selenium.webdriver.common.by import By
from selenium.webdriver.remote.webelement import WebElement
from selocity import resilient_cached_webelement, resilient_cached_webelements
class BasePage:
def __init__(self, driver):
self.driver = driver
class LoginPage(BasePage):
@property
@resilient_cached_webelement
def username_input(self) -> WebElement:
return self.driver.find_element(By.ID, "username")
@property
@resilient_cached_webelement
def password_input(self) -> WebElement:
return self.driver.find_element(By.ID, "password")
@property
@resilient_cached_webelement
def submit_button(self) -> WebElement:
return self.driver.find_element(By.CSS_SELECTOR, "button[type='submit']")
def login(self, username: str, password: str):
self.username_input.send_keys(username)
self.password_input.send_keys(password)
self.submit_button.click()
Usage in your test code:
from selenium import webdriver
def test_login():
driver = webdriver.Chrome()
login_page = LoginPage(driver)
login_page.login("myusername", "mypassword")
Contributing
Contributions are welcome! Please open issues or submit pull requests on our GitLab repository.
Contact
For questions or support, please contact jsa34@cam.ac.uk
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