To implement Drone CI for your Python project so that a feature branch merge to the master branch triggers tests, builds a Docker image, deploys it to a server, and runs the new Docker version, you can follow these steps:
Set up a Drone CI server and configure it to work with your version control system (e.g., GitHub, GitLab, Bitbucket).
Create a drone.yml file in the root of your project repository with the following configuration:
In the trigger section, specify that the pipeline should be triggered when a merge event occurs on the master branch.
In the steps section, specify the sequence of steps you want to run, including building your Python code, running tests, building a Docker image, and deploying to your server.
The build step installs dependencies and builds your Python code, while the test step runs your tests.
The build-docker-image step uses the plugins/docker plugin to build a Docker image and push it to your Docker repository. Make sure to replace my-docker-repo, my-docker-username, and my-docker-password with your own values.
The deploy-to-server step uses the plugins/ssh plugin to SSH into your server, deploy the new Docker image, and start the container. Make sure to replace my-server-ip, my-server-username, my-server-password, and target with your own values.
Commit and push your drone.yml file to your repository.
Now, when a feature branch is merged into the master branch, Drone CI will automatically run your tests, build a Docker image, deploy it to your server, and start the container.
To implement Drone CI for your Python project so that a feature branch merge to the master branch triggers tests, builds a Docker image, deploys it to a server, and runs the new Docker version, you can follow these steps: