Introduction to the basic use of the Wercker class library in Python

Wercker is a continuous integration and continuous delivery platform that can be used for automated construction, testing and deployment applications.It is an open source tool that provides developers with a simple and easy -to -use way to manage the construction and delivery process of the application. Using Wercker in Python can greatly simplify the construction and deployment process of the project.The following will introduce how to use Wercker in the Python project. Step 1: Install Wercker Cli First, you need to install the Wercker command line interface (CLI).You can use the following command to install the CLI: $ sudo pip install wercker-cli Step 2: Create Wercker configuration file Next, you need to create a configuration file called `Wercker.yml` in the root directory of the project.This file will define the construction, testing and deployment processes of the project.The following is an example configuration file: yml box: python:3.8 build: steps: - script: name: Install dependencies code: pip install -r requirements.txt - script: name: Run tests code: pytest deploy: steps: - script: name: Deploy to server code: fab deploy The above configuration file specifies the container environment used by the project (in this example is Python 3.8), as well as steps for the construction and deployment process.During the construction process, first install the dependency items required for the project, and then run the test.During the deployment, the project is deployed on the server. Step 3: Connect to Wercker to the code storage repository Before using Wercker, you need to connect your code repository to Wercker.You can use the following command to connect the repository to Wercker: $ wercker login Then follow the prompts to log in and authorize. Step 4: Create an application on Wercker Create an application on Wercker, which will enable you to track and manage your construction and deployment process on Wercker.You can use the following command to create an application: $ wercker create <app-name> Step 5: Push the project to the code memory repository Before pushing the project to the code memory, you need to create a file called `.gitignore` under the root directory of the project, and add the files and folders that do not need to be included in the version control to the file. Then, use the following command to push the project to the code memory: $ git init $ git add . $ git commit -m "Initial commit" $ git remote add origin <repository-url> $ git push -u origin master Step 6: Construct a project on Wercker Now, you can use the following command to build a project on Wercker: $ wercker build This will trigger the construction step specified in the WERCKER execution file. Step 7: Deploy projects on WERCKER If the construction is successful, you can use the following command to deploy the project: $ wercker deploy This will trigger the deployment steps specified in the configuration file. The above is the basic introduction of Wercker in Python.By using WERCKER, you can easily integrate and continuously deliver, and greatly simplify the construction and deployment process of the project.Hope this article will help you!