Use the WERCKER class library to perform the automation deployment tutorial of the Python project

Use the WERCKER class library to perform the automation deployment tutorial of the Python project In this article, we will introduce how to use the WERCKER class library to automate the Python project.Wercker is a continuous integration and continuous deployment platform. It provides a simple and easy -to -use interface and powerful features to help developers' construction and deployment process. Using Wercker can greatly speed up the development and deployment and ensure the stability of the project.Next, we will gradually introduce the entire process, including related code and configuration. Step 1: Install Wercker First, we need to install Wercker CLI tools locally.Open the terminal and execute the following commands to install Wercker CLI: $ sudo pip install wercker-cli Step 2: Create a new Wercker application Create a new account on the Wercker website and create a new application.Choose Python as your main language and perform some basic configurations, such as the name of the application and the version control system used. Step 3: Preparation items Create a new Python project locally and ensure that the project runs normally.Make sure that there is a Requirements.txt file containing all dependencies in the project root directory. Step 4: Create Wercker.yml configuration file Create a configuration file called Wercker.yml in the root directory of the project, and add the following: yml box: python:3.8 build: steps: - script: name: install dependencies code: | pip install -r requirements.txt - script: name: run tests code: | python -m unittest discover tests deploy: steps: - script: name: deploy code: | echo "Deploying the project!" The above configuration files define two stages: `build` and` deploy`.In the `build` stage, we first install all the dependencies required for the project, and then perform the test in the project. In the `DEPLOY` stage, we can add some custom deployment logic, such as deploying the project to the remote server or publishing it to the cloud platform. Step 5: Push the code to the version control system Push the project code and Wercker.yml file to the version control system you choose, such as git. Step 6: Connect the project with Wercker Enter the application page of the Wercker website and click the "Add Application" button.Select your version control system and associate the project with Wercker according to the prompts.This will allow Wercker to automatically build and deploy your project. Step 7: Running Construction Return to the application page of the Wercker website and select your application.Click the "Run Pipeline" button to start the construction process.Wercker will build and deploy your project based on the configuration in the Wercker.yml file. Summarize: By using the Wercker class library, we can quickly and simply automate the Python project.This article introduces the basic steps of using Wercker, including installing Wercker CLI tools, creating Wercker applications, preparation items, writing Wercker.yml configuration files, and associated with WERCKER.It is hoped that this article can provide a valuable guide to beginners to help them easily implement automated deployment.