How to do Python interface automation?

To perform Python API automation, the first step is to install necessary libraries such as requests, unittest, etc. Following that, you can proceed with the steps outlined below:

1. Identify the goals and requirements for interface testing, including details such as request methods, URLs, parameters, request headers, expected results, etc.
2. Utilize the requests library to send HTTP requests, passing the corresponding request method, URL, parameters, headers, and other information through parameters.
3. According to the results returned by the interface, assert and verify if the interface’s returned results meet the expected results.
4. To encapsulate test cases, you can write test cases using the TestCase class from the unittest module and use decorators to mark the test cases that need to be executed.
5. Run test cases with the TestRunner in unittest, and generate a test report.
6. One can use the Mock library to simulate the behavior of an interface, such as simulating the return results of the interface or simulating exception situations.
7. Testing data and results can be stored using Excel or a database for easy analysis and management of interface testing data.

In conclusion, Python interface automation can utilize Python’s requests library to send HTTP requests, verify the expected results of the interface using assertions, and use the unittest library to write and execute test cases.