Help me with REST API function

Exercise Pre-Interview: Background Information o Webpagetest is an online Browser execution service used to test web pages. You can review this free service at [login to view URL] o The reference to the REST-API for public and private instances can be found here: [login to view URL] o Suggestions & Other Ideas • Write your own code, because we’ll talk about it during the call and you’ll need to explain your approach. • This exercise is as much about writing defensible, provable, and consistent / stable code as it is in fulfilling the spect • Be prepared to discuss why you might use co-routines vs threads vs processes from your own experiences. Exercise Questions: You will write a wrapper module for Web Page Test that has the following features: A. Make a single class that can fetch a set of JSON results from a given web-page-test URL • Initializing the class should take a single parameter, the API key. You can register for your own developer key here: [login to view URL] • Ensure that each function within your class has proper Pytest-enabled unit tests, which allow verification of operation • Assume all default parameters are currently sufficient - don’t worry too much about having to support multiple parameters other than API key and URL to test. A. Write a method “get” that fetches the results from a successful scan (not just the results from a submission). This should be a valid JSON data object or None. Ensure that you have at least one unit and end-to-end test for this method. • Be careful about understanding the difference between submitting a job to Web Page Test and getting the results from a finished job. “Get” method should return the results from a finished scan as a JSON . A. Create a method called “get_async” that uses python asynchronous co-routines to perform the same actions as the “get” method. Async / Await patterns preferred here. Verify using at least 1 unit test. A. Once the “get_async” method works, instantiate the class and enable the get method to be called using a multi-threaded pattern. Call the method “get_parallel” • Input will be an array of URLs, • Use the same logic from B and C above, • This should support up to 10 parallel ‘get’ calls being made at the same time asynchronously • Write a unit test to verify parallel thread execution • Make sure all proper exception handling is in place so that if something fails (network failure, etc) it deals with the failure gracefully (without crashing)