Integrated Code Lifecycle Setup

This section describes how to set up a programming exercise environment based on Integrated Code Lifecycle. These two systems are integrated into the Artemis server application and thus the setup is greatly simplified compared to the external options. This also reduces system requirements as you do not have to run any systems in addition to the Artemis server. For now, this setup is only recommended for development and testing purposes. If you are setting Artemis up for the first time, these are the steps you should follow:

You can see the configuration in the following video:

Configure Artemis

Create a file src/main/resources/config/application-local.yml with the following content:

artemis:
    user-management:
        use-external: false
    version-control:
        url: http://localhost:8080
    # Only necessary on Windows:
    continuous-integration:
        docker-connection-uri: tcp://localhost:2375

The values configured here are sufficient for a basic Artemis setup that allows for running programming exercises with Integrated Code Lifecycle.

If you are running Artemis on Windows, you also need to add a property artemis.continuous-integration.docker-connection-uri with the value tcp://localhost:2375 as shown above. If you are running Artemis inside of a docker container, use tcp://host.docker.internal:2375 instead. Make sure that Artemis can access docker by activating the “Expose daemon on tcp://localhost:2375 without TLS” option under Settings > General in Docker Desktop.

When you start Artemis for the first time, it will automatically create an admin user called “artemis_admin”. If this does not work, refer to the guide for the Jenkins and GitLab Setup to manually create an admin user in the database. You can then use that admin user to create further users in Artemis’ internal user management system.

Configure Build Management

The Local CI subsystem of the Integrated Code Lifecycle is used to automatically build and test student submissions. By default, the number of concurrent builds that can be executed is determined by the number of available CPU cores. You can manually determine this number by adding the following property to the src/main/resources/config/application-local.yml file:

artemis:
    continuous-integration:
         specify-concurrent-builds: true
         // The number of concurrent builds that can be executed
         concurrent-build-size: 2

Start Artemis

For the development environment, you can start Artemis with the following additional profiles: localci, localvc and buildagent. It is important to consider the correct order of the profiles, as the core profile needs to overwrite the buildagent profile, e.g.:

--spring.profiles.active=dev,localci,localvc,artemis,scheduling,buildagent,core,local

All of these profiles are enabled by default when using the Artemis (Server, LocalVC & LocalCI) run configuration in IntelliJ. Please read Server Setup for more details.

Test the Setup

You can now test the setup:

To create a course with registered users, you can use the scripts from supporting_scripts/course-setup-quickstart.

  • Create a course and a programming exercise.

  • Log in as a student registered for that course and participate in the programming exercise, either from the online editor or by cloning the repository and pushing from your local environment.

  • Make sure that the result of your submission is displayed in the Artemis UI.

Hint

At the moment, the Local VC system only supports accessing repositories via HTTP(S) and Basic Auth. We plan to add SSH support in the future. For now, you need to enter your Artemis credentials (username and password) when accessing template, solution, test, and assignment repositories.

For unauthorized access, your Git client will display the respective error message:

Setup with Docker Compose

You can also use Docker Compose to set up Integrated Code Lifecycle. Using the following command, you can start the Artemis and MySQL containers:

docker compose -f docker/artemis-dev-local-vc-local-ci-mysql.yml up

Hint

Unix systems: When running the Artemis container on a Unix system, you will have to give the user running the container permission to access the Docker socket by adding them to the docker group. You can do this by changing the value of services.artemis-app.group_add in the docker/artemis-dev-local-vc-local-ci-mysql.yml file to the group ID of the docker group on your system. You can find the group ID by running getent group docker | cut -d: -f3. The default value is 999.

Windows: If you want to run the Docker containers locally on Windows, you will have to change the value for the Docker connection URI. You can add ARTEMIS_CONTINUOUSINTEGRATION_DOCKERCONNECTIONURI="tcp://host.docker.internal:2375" to the environment file, found in docker/artemis/config/dev-local-vc-local-ci.env. This overwrites the default value unix:///var/run/docker.sock for this property defined in src/main/resources/config/application-docker.yml.

Podman as Docker alternative

Podman offers a container runtime that is API-compatible with Docker. Rather than having a system-wide socket that runs with administrative permissions, Podman allows creating containers with only user permissions. In single-user setups this might not be as relevant, but offers additional security in a production environment where the Artemis CI has to execute untrusted student code.

Podman is supported on a best-effort basis.

We are relying on the API compatibility to provide support but are not actively testing against Podman on a test system or in continuous integration. If you notice any issues, feel free to open an issue or pull request so that we can try to fix them.

Note

These setup steps are mostly focused on Linux systems. On Mac and Windows, both Docker and Podman run the containers in a small virtual machine anyway. Therefore, there is little technical benefit relevant to Artemis for choosing one over the other in local development setups. If in doubt, we recommend using Docker, since that solution is most likely to be tested by Artemis developers.

Linux setup

Podman itself should be available via your regular package manager.

After the installation, you have to ensure that your user is allowed to create containers. This is managed by the files /etc/subuid and /etc/subgid. Ensure both files contain a line starting with your username. If not, you can generate the relevant lines by executing the following command:

#! /usr/bin/env sh

printf "%s:%d:65536\n" "$USER" "$(( $(id -u) * 65536 ))" | tee -a /etc/subuid /etc/subgid

After that, enable the Podman user socket that provides the API for the container management:

systemctl --user enable --now podman.socket

Configure the connection to this socket in Artemis by replacing ${UID} with your actual user id (id -u):

artemis:
    continuous-integration:
        docker-connection-uri: "unix:///run/user/${UID}/podman/podman.sock"
        # alternatively, if you use the `DOCKER_HOST` environment variable already
        # to tell other tools to use the Podman socket instead of the Docker one:
        # docker-connection-uri: "${DOCKER_HOST}"

Windows or Mac setup

Podman offers a desktop application application similar to Docker desktop and CLI tools for Windows, macOS, and Linux. As with Docker, to run containers on Windows or macOS, the runtime has to start a small virtual Linux machine that then actually runs the containers. You can probably connect to this VM similarly as described in the regular setup steps above (additional Podman documentation).

Note

If you try out Podman on a Windows or Mac system and have additional setup tips, feel free to submit a pull request to extend this documentation section.