Python automated testing is often used for testing web applications, mobile applications, desktop applications, etc.
The idea of Python automation implementation is usually divided into the following steps:
1. Determine the scope and goals of automated testing: First, it is necessary to clarify the scope and goals of automated testing, including test scenarios, test cases, and test data.
2. Select automated testing tools and frameworks: Select appropriate automated testing tools and frameworks based on testing goals and requirements, such as Selenium, Appium, Requests, etc.
3. Write test cases: According to test objectives 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 the test results: analyze the test results according to the test results and logs, determine whether the test passed or failed, and record the test defects.
7. Optimize test cases and test frameworks: optimize test cases and test frameworks based on test results and feedback to improve the efficiency and stability of automated testing.
8. Deployment and use: Deploy automation scripts to servers or local computers, and use scheduled tasks to run and monitor regularly to achieve long-term stable automation tasks. During the deployment process, it is necessary to consider how to protect data security, how to schedule and monitor tasks, and how to handle errors and recover, so as to ensure the reliability and safety of automated tasks. During use, it is necessary to record and analyze the running status of automation tasks in time for optimization and improvement.
Ideas for automation using Python through a shopping cart:
The following is a simple shopping cart automation test implementation idea and test chain, including interface automation and UI automation: 1. Requirements analysis
First of all, you need to understand the functional requirements of the shopping cart, including operations such as adding items, deleting items, and checking items, as well as function points and boundary conditions that need to be verified.
2. Test case design
According to requirement analysis, design corresponding test cases, including test cases for normal scenarios and abnormal scenarios. like:
- Adding Items: Test adding one or more items to the shopping cart, verifying that the quantity and price of the items in the shopping cart are correct.
- Remove Items: Test removing one or more items from the cart, verifying that the cart has the correct quantity and price.
- Settlement items: Test the items in the shopping cart, verify that the settlement amount is correct, and verify that the number of items in the shopping cart is correct after checkout.
3. Interface automation
For the interface of the shopping cart, you can use Python's requests library for automated testing of the interface. The specific implementation steps are as follows:
- Install the requests library
- 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 the session state.
- For interfaces that need to verify interface performance, you can use the Python 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 the corresponding browser driver, for example: ChromeDriver.
- Write UI automation test cases, including information such as opening web pages, locating elements, operating elements, and assertion results.
- For pages that require login, you can use Selenium's Cookies mechanism 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 together to build a complete testing chain. For example: first conduct interface automation testing to verify the correctness and stability of the interface; then conduct UI automation testing to verify the correctness and stability of the page; 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 automation testing into the continuous integration process to realize automatic execution and result analysis of automated tests. Timing triggers can be set or the execution of automated tests can be triggered by Git commits.
Finally, I would like to thank everyone who has read my article carefully. Reciprocity is always necessary. Although it is not a very valuable thing, you can take it away if you need it:
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