How to use the WERCKER class library to perform the automation test of the Python code

How to use the WERCKER class library to perform the automation test of the Python code Introduction: Wercker is a continuous integration tool that helps developers to automate operation and test code during software development.With Wercker, you can easily set and manage automated construction, testing and deployment systems.This article will introduce how to use the WERCKER class library to perform the automation test of the Python code. step: 1. Install Wercker: First, you need to install Wercker on the local machine.Visit the official website of WERCKER and download and install Wercker's command line tools in accordance with the guidelines. 2. Create a WERCKER configuration file: In your Python project root directory, create a file called "Wercker.yml".This file will be used to configure the rules and operations of automated testing. 3. Configuration automation test: Open the "Wercker.yml" file and add the following content to configure automated testing: yaml box: python:latest build: steps: - script: name: Install Dependencies code: pip install -r requirements.txt - script: name: Run Tests code: python -m pytest The above configuration includes two steps: -Te installation dependencies: All dependent items required to use PIP installation items. -Axing test: Use all tests in Pytest running items. According to your project needs, you can also add other custom steps. 4. Push the project to github: Push your Python project to the GitHub repository and make sure that the "Wercker.yml" file is included in the project root directory. 5. Open the Wercker console: Visit the official website of Wercker and log in to your account.On the console interface, click the "Add An Application" button to connect your github warehouse. 6. Configure WERCKER application: After connecting to GitHub, you need to choose a warehouse to build and test.Select your Python project and click "Next". 7. Configuration Construction Pipeline: At this step, you need to configure all stages of building a pipeline.Select "SKIP" to skip the deployment stage and click "Next" to enter the next step. 8. Run automation test: You have now configured the Wercker application.Wercker will automatically trigger the construction and test process.You can view the progress and results of the construction and testing through the control table interface. Summarize: By using the WERCKER class library, you can easily set and manage the automation test of the Python project.Follow the above steps, you can configure and run your automated test on Wercker, and get feedback from the test results in time.I hope this article can help you!