Summary of 8-year testing veteran, Python automated testing implementation ideas (detailed)

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Preface

Python automated testing is often used for interface testing/testing of web applications, mobile applications, applets, etc.

Python automation implementation ideas are usually divided into the following steps:

1. Determine the scope and goals of automated testing:
First, you need to clarify the scope and goals of automated testing, including test scenarios, test cases, test data, etc.

2. Select automated testing tools and frameworks:
Select appropriate automated testing tools and frameworks based on test goals and requirements, such as Selenium, Appium, Requests, etc.

3. Write test cases:
According to the test goals and requirements, write automated test cases, including test scenarios, test steps, expected results, etc.

4. Encapsulate test cases and test data:
Encapsulate the written test cases and test data to make them reusable and scalable.

5. Execute test cases:
Use automated testing tools and frameworks to execute test cases, record test results and test logs.

6. Analyze test results:
Analyze test results based on test results and logs, determine whether the test passed or failed, and record test defects.

7. Optimize test cases and test framework:
Optimize test cases and test framework based on test results and feedback to improve the efficiency and stability of automated testing.

8. Deployment and use:
Deploy the automation script to the server or local computer, and use scheduled tasks and other methods for scheduled running and monitoring to achieve long-term and stable automation tasks. During the deployment process, you need to consider issues such as how to protect data security, how to schedule and monitor tasks, how to handle errors and how to recover, to ensure the reliability and security of automated tasks. During use, the running status of automated tasks needs to be recorded and analyzed in a timely manner for optimization and improvement.

Ideas for automating shopping carts using Python

The following is the implementation idea and test chain of a simple shopping cart automation test, which includes interface automation and UI automation: 1.
Requirements analysis
First, you need to understand the functional requirements of the shopping cart, including operations such as adding products, deleting products, and settling products. As well as function points and boundary conditions that need to be verified, etc.

2. Test case design:
Based on demand analysis, design corresponding test cases, including test cases for normal scenarios and abnormal scenarios.
like:

Add items: Test adding one or more items to the shopping cart and verify whether the quantity and price of the items in the shopping cart are correct.
Delete items: Test removing one or more items from the shopping cart and verify that the quantity and price of the items in the shopping cart are correct.
Checkout items: Test the items in the settlement shopping cart, verify whether the settlement amount is correct, and verify whether the number of items in the shopping cart after settlement is correct.

3. Interface automation
For the shopping cart interface, you can use Python’s requests library for automated interface testing. The specific implementation steps are as follows:

Install the requests library
and write interface test cases, including request parameters, request methods, request headers, request bodies, response results and other information.
For interfaces that require login, you can use Python's requests.Session to maintain session state.
For interfaces that need to verify interface performance, you can use Python's time library to calculate indicators such as interface response time.

4. UI Automation
For the UI interface of the shopping cart, you can use Python’s Selenium library for UI automation testing. The specific implementation steps are as follows:

Install the Selenium library and corresponding browser driver, such as ChromeDriver.
Write UI automation test cases, including opening web pages, positioning elements, operating elements, assertion results and other information.
For pages that require login, Selenium's Cookies mechanism can be used to maintain session state.
For test cases that need to verify page performance, you can use Python's time library to calculate indicators such as page loading time.

5. Integration testing
Integrate interface automation and UI automation testing to build a complete testing chain. For example: first conduct automated interface testing to verify the correctness and stability of the interface; then conduct automated UI testing to verify the correctness and stability of the page; and finally conduct integration testing to verify the process and performance of the entire shopping cart.

6. Continuous integration
Use continuous integration tools, such as Jenkins, to integrate shopping cart automated testing into the continuous integration process to achieve automatic execution and result analysis of automated testing. You can set up scheduled triggers or trigger the execution of automated tests through Git submission.

The following is the most comprehensive software testing engineer learning knowledge architecture system diagram in 2023 that I compiled.

1. Python programming from entry to proficiency

2. Practical implementation of interface automation projects

3. Web automation project actual combat

4. Practical implementation of App automation project

5. Resumes of first-tier manufacturers

6. Test and develop DevOps system

7. Commonly used automated testing tools

8. JMeter performance test

9. Summary (little surprise at the end)

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