In this tutorial, Allen will walk you through creating a data-driven locator using Alchemy. Our simple test involves navigating to a site, selecting a bicycle, adding it to the cart, and then returning to the homepage. We’ll transform this straightforward test into a data-driven one, making it flexible and reusable.
Key Steps Covered:
- Setting Up the Test: Navigate to the site, select a bicycle, and add it to the cart.
- Converting to Data-Driven: Create a function to handle data input dynamically, allowing different bicycles to be selected based on the data passed.
- Working with Locators: Identify and use locators that make bicycles identifiable, and convert these into context variables.
- Executing with Different Data: Pass different bicycle models (X, Y, Z) into the test and execute them.
- Looping through Data: Use a data table to repeat the test for multiple bicycles, adding each to the cart in sequence.
- Validation and Debugging: Ensure the correct bicycles are added to the cart by validating the cart contents and debugging as needed.
Why Alchemy?
Alchemy simplifies automated testing by allowing testers to create robust, data-driven tests without writing code. It uses standard Java and Selenium libraries, ensuring flexibility and vendor independence. You can export and execute tests without any special tools or licenses.
Features Highlighted in this Tutorial:
Data-Driven Testing
Custom Functions and Context Variables
Advanced Object Locator
Repeat and Loop Actions
Validation Steps and Debugging
Whether you are an experienced tester or new to automated testing, this tutorial will help you leverage Alchemy's powerful features to create flexible and maintainable tests.
For more in-depth information about data driving with Alchemy, check out these videos:
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