Streamline Your Selenium Automation with Data Structures Using Java Streams

Sample Project for a Cucumber-Selenium Integrated Framework with Maven, Showcasing the Leverage of Streams to Collect WebElements When Treating Them as a Data Structure.

Treating WebElements as Data Structures with Streams: When you use Java Streams, we can process collections of WebElements more efficiently and with more readable code. Here’s how using Streams can help treat WebElements as data structures:

• Filtering Elements: You can filter elements based on specific criteria.
• Mapping Elements: You can transform elements into other types or extract specific data.
• Reducing Elements: You can aggregate elements into a single result.
• Processing Elements: You can perform bulk operations on collections of elements.

Sample Snippets

Looking for a matching label by finding all instance of the Labels WebElement then traverses through it using filter()

WebElement eLabel = wait.until(ExpectedConditions.visibilityOfAllElementsLocatedBy(componentLabel))
                .stream().filter(l -> l.getText().contains(label)).findFirst().orElse(null);

Want to get all the labels as text? try using map() and return it as List

List<String> eLabelValues = wait.until(ExpectedConditions.visibilityOfAllElementsLocatedBy(componentLabel))
                .stream().map(l -> l.getText()).collect(Collectors.toList());

to make it more concise, we can replace the Lambda expression with Method reference:

List<String> eLabelValues = wait.until(ExpectedConditions.visibilityOfAllElementsLocatedBy(componentLabel))
                .stream().map(WebElement::getText).collect(Collectors.toList());