How to Get call_count After Using pytest-mocker.patch скачать в хорошем качестве

How to Get call_count After Using pytest-mocker.patch

Discover how to track the `call_count` and arguments of mocked functions in your tests with `pytest-mocker`. This guide breaks down the process step-by-step! --- This video is based on the question https://stackoverflow.com/q/71803679/ asked by the user 'rawr rang' ( https://stackoverflow.com/u/1244826/ ) and on the answer https://stackoverflow.com/a/71803702/ provided by the user 'Code-Apprentice' ( https://stackoverflow.com/u/1440565/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to get call_count after using pytest mocker.patch Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Get call_count After Using pytest-mocker.patch In the world of testing, ensuring that your functions are behaving as expected is crucial. When using pytest alongside the pytest-mocker plugin, you have the ability to replace certain functions with mock objects. This allows you to test behavior without executing the real functions. One common requirement when mocking functions is determining how many times a mocked function was called and what arguments were passed to it. The Problem Imagine you have a function that performs some computations by calling a secondary function. In your tests, while you want to verify the outcome, you also want to capture how many times the secondary function was executed and with what parameters. Let’s take a look at the functions and the test: Your Existing Functions [[See Video to Reveal this Text or Code Snippet]] Your Current Test You might have been using a test like this: [[See Video to Reveal this Text or Code Snippet]] While this test effectively mocks the calculate function, it doesn't provide any details about how many times calculate was called or what arguments it received. The Solution To extract the call_count and arguments of the mocked function in your tests, you can modify your assertions as follows: 1. Tracking Call Count You can retrieve the number of times a function was called by accessing the call_count attribute of the mock object: [[See Video to Reveal this Text or Code Snippet]] 2. Checking Parameters Passed If you want to ensure that the correct parameters were passed to the mocked function, you can use the called_once_with() method. This checks if the mock function was called exactly once with specified arguments: [[See Video to Reveal this Text or Code Snippet]] Summary Using pytest-mocker, you can effortlessly monitor how many times a function is called and what arguments it receives. With just a few modifications to your tests: Use call_count to track how many times the mock function was invoked. Use called_once_with() to verify the exact parameters passed to the function. By leveraging these techniques, you enhance your testing capabilities and ensure your code behaves as expected. Now you can confidently mock functions in your tests while keeping track of their interactions!