Server Setup
To start the Artemis application server from the development
environment, first import the project into IntelliJ and then make sure
to install the Spring Boot plugins to run the main class
de.tum.cit.aet.artemis.ArtemisApp
. Before the application runs, you
have to change some configuration options.
You can change the options directly in the file application-artemis.yml
in the folder
src/main/resources/config
. However, you have to be careful that you do not
accidentally commit your password. Therefore, we strongly recommend, to create a new file
application-local.yml
in the folder src/main/resources/config
which is ignored by default.
You can override the following configuration options in this file.
artemis:
repo-clone-path: ./repos/
legal-path: ./legal/
repo-download-clone-path: ./repos-download/
bcrypt-salt-rounds: 11 # The number of salt rounds for the bcrypt password hashing. Lower numbers make it faster but more unsecure and vice versa.
# Please use the bcrypt benchmark tool to determine the best number of rounds for your system. https://github.com/ls1intum/bcrypt-Benchmark
user-management:
use-external: true
password-reset:
credential-provider: <provider> # The credential provider which users can log in though (e.g. TUMonline)
links: # The password reset links for different languages
en: '<link>'
de: '<link>'
external:
url: https://external.ase.in.tum.de
user: <username> # e.g. ga12abc
password: <password>
admin-group-name: tumuser
ldap:
url: <url>
user-dn: <user-dn>
password: <password>
base: <base>
version-control:
url: https://gitlab.ase.in.tum.de
user: <username> # e.g. ga12abc
password: <password>
token: <token> # VCS API token giving Artemis full Admin access.
continuous-integration:
url: https://jenkins.ase.in.tum.de
user: <username> # e.g. ga12abc
token: <token> # Enter a valid token generated by the CI system or leave this empty to use the fallback authentication user + password
password: <password>
# Key of the saved credentials for the VCS service
# Jenkins: You have to specify the key from the credentials page in Jenkins under which the user and
# password for the VCS are stored
vcs-credentials: <credentials key>
# Key of the credentials for the Artemis notification token
# Jenkins: You have to specify the key from the credentials page in Jenkins under which the notification token is stored
notification-token: <credentials key>
# The actual value of the notification token to check against in Artemis. This is the token that gets send with
# every request the CI system makes to Artemis containing a new result after a build.
# Jenkins: The token value you use for the Server Notification Plugin and is stored under the notification-token credential above
authentication-token: <token>
git:
name: Artemis
email: artemis@in.tum.de
athena:
# If you want to use Athena, look at the dedicated section in the config.
Change all entries with <...>
with proper values, e.g. your TUM
Online account credentials to connect to the given instances. Alternatively, you can connect to your local instances. It’s not necessary to fill all the
fields, most of them can be left blank. Note that there is additional
information about the setup for programming exercises provided:
Note
Be careful that you do not commit changes to application-artemis.yml
.
To avoid this, follow the best practice when configuring your local development environment:
Create a file named
application-local.yml
undersrc/main/resources/config
.Copy the contents of
application-artemis.yml
into the new file.Update configuration values in
application-local.yml
.
By default, changes to application-local.yml
will be ignored by git so you don’t accidentally
share your credentials or other local configuration options. The run configurations contain a profile
local
at the end to make sure the application-local.yml
is considered. You can create your own
configuration files application-<name>.yml
and then activate the profile <name>
in the run
configuration if you need additional customizations.
If you use a password, you need to adapt it in
gradle/liquibase.gradle
.
Run the server via Docker
ghcr.io/ls1intum/artemis:<TAG/VERSION>
.develop
.latest
.5.7.1
can be retrieved as ghcr.io/ls1intum/artemis:5.7.1
.PR-<PR NUMBER>
.Dockerfile
You can find the latest Artemis Dockerfile at docker/artemis/Dockerfile
.
The Dockerfile has multiple stages: A builder stage, building the
.war
file, an optional external_builder stage to import a pre-built.war
file, a war_file stage to choose between the builder stages via build argument and a runtime stage with minimal dependencies just for running artemis.The Dockerfile defines three Docker volumes (at the specified paths inside the container):
/opt/artemis/config:
This can be used to store additional configurations of Artemis in YAML files. The usage is optional, and we recommend using the environment files for overriding your custom configurations instead of using
src/main/resources/application-local.yml
as such an additional configuration file. The other configurations likesrc/main/resources/application.yml
, … are built into the.war
file and therefore are not needed in this directory.Tip
Instead of mounting this config directory, you can also use environment variables for the configuration as defined by the Spring relaxed binding. You can either place those environment variables directly in the
environment
section, or create a .env-file. When starting an Artemis container directly with the Docker-CLI, an .env-file can also be given via the--env-file
option.To ease the transition of an existing set of YAML configuration files into the environment variable style, a helper script can be used.
/opt/artemis/data:
This directory should be used for any data (e.g., local clone of repositories). This is preconfigured in the
docker
Java Spring profile (which sets the following values:artemis.repo-clone-path
,artemis.repo-download-clone-path
,artemis.course-archives-path
,artemis.submission-export-path
artemis.legal-path
, andartemis.file-upload-path
)./opt/artemis/public/content:
This directory will be used for branding. You can specify a favicon here.
The Dockerfile assumes that the mounted volumes are located on a file system with the following locale settings (see #4439 for more details):
LC_ALL
en_US.UTF-8
LANG
en_US.UTF-8
LANGUAGE
en_US.UTF-8
Warning
ARM64 Image builds might run out of memory if not provided with enough memory and/or swap space. On a Apple M1 we had to set the Docker Desktop memory limit to 12GB or more.
Debugging with Docker
With the following Java environment variable, you can configure the Remote Java Debugging inside a container:
_JAVA_OPTIONS="-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005"
suspend=y
.Run the server via a run configuration in IntelliJ
The project comes with some pre-configured run / debug configurations that are stored in the .idea
directory.
When you import the project into IntelliJ the run configurations will also be imported.
The recommended way is to run the server and the client separately. This provides fast rebuilds of the server and hot module replacement in the client.
Artemis (Server): The server will be started separated from the client. The startup time decreases significantly.
Artemis (Client): Will execute
npm install
andnpm run start
. The client will be available at http://localhost:9000/ with hot module replacement enabled (also see Client Setup).
Other run / debug configurations
Artemis (Server & Client): Will start the server and the client. The client will be available at http://localhost:8080/ with hot module replacement disabled.
Artemis (Server, Jenkins & GitLab): The server will be started separated from the client with the profiles
dev,jenkins,gitlab,artemis
.Artemis (Server with Integrated Code Lifecycle): The server will be started separated from the client with the profiles
dev,localci,localvc,artemis
. To use this configuration, Docker needs to be running on your system as Integrated Code Lifecycle uses it to run build jobs.Artemis (Server, LocalVC & LocalCI, Athena): The server will be started separated from the client with
athena
profile and Local VC / CI enabled (see Athena Service).
Run the server with Spring Boot and Spring profiles
The Artemis server should startup by running the main class
de.tum.cit.aet.artemis.ArtemisApp
using Spring Boot.
Note
Artemis uses Spring profiles to segregate parts of the
application configuration and make it only available in certain
environments. For development purposes, the following program arguments
can be used to enable the dev
profile and the profiles for Jenkins and Gitlab:
--spring.profiles.active=dev,jenkins,gitlab,artemis,scheduling
If you use IntelliJ (Community or Ultimate) you can set the active profiles by
Choosing
Run | Edit Configurations...
Going to the
Configuration Tab
Expanding the
Environment
section to revealVM Options
and setting them to-Dspring.profiles.active=dev,jenkins,gitlab,artemis,scheduling
Set Spring profiles with IntelliJ Ultimate
If you use IntelliJ Ultimate, add the following entry to the section
Active Profiles
(within Spring Boot
) in the server run
configuration:
dev,jenkins,gitlab,artemis,scheduling
Run the server with the command line (Gradle wrapper)
If you want to run the application via the command line instead, make
sure to pass the active profiles to the gradlew
command like this:
./gradlew bootRun --args='--spring.profiles.active=dev,jenkins,gitlab,artemis,scheduling'