First of all, let's understand what is a zero-code limit encapsulation interface automation testing framework. This is an approach to interface-based automated testing designed to minimize the cost of writing and maintaining test scripts. By automatically encapsulating the interface, non-developers in the team can easily complete automated testing.

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The following are the steps to realize the automatic testing framework of the zero-code limit encapsulation interface:

Choose the right interface testing tool

To implement a zero-code interface automation testing framework, it is necessary to choose an interface testing tool that is easy to use and supports fast encapsulation. Commonly used tools include Postman, Rest-Assured, etc.

Write wrapper code

Encapsulate the interface testing tool to execute test cases through simple function calls. These functions should be as straightforward as possible so that other team members can understand and use them. For example, you can write a function called "send_request" that sends a request and returns a response.

Create test cases

Write test cases using encapsulated interface test functions. These test cases should be able to cover different interfaces and operations in order to fully test the functionality of the system.

run test case

Run test cases and generate reports. Through the report, you can view the execution of test cases, including which test cases failed, which test cases passed, and so on.

In actual operation, you can use some ready-made frameworks, such as pytest, unittest, Robot Framework, etc. to implement the above steps. Taking pytest as an example, the following is a simple example:

import pytest
from test_framework import send_request

@pytest.mark.parametrize("url, data, expected", [
    ("http://example.com/api/login", {"username": "admin", "password": "123456"}, {"code": 200}),
    ("http://example.com/api/logout", {}, {"code": 200})
])
def test_login_logout(url, data, expected):
    response = send_request(url, data)
    assert response.status_code == expected["code"]
In this example, we used pytest and test_framework modules. In the test_framework module, we implemented the send_request function, which encapsulates the interface testing tool and returns a response. In the test_login_logout test case, we use the parametrize decorator of pytest to define a parameterized test case to check whether the login and logout interfaces work properly.

In conclusion, the zero-code limit encapsulation interface automation testing framework is very useful because it allows non-developers in the team to easily write and maintain interface test cases. To realize this framework, it is necessary to select a suitable interface testing tool and encapsulate it into an easy-to-use function. Then, any test framework that supports parameterization can be used to write test cases and run tests.

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