Java EE OLI Content Service Maven project
This includes:
- Maven for build system
- JUnit for unit testing
- Arquillian for Integration Testing
- Dockerized Wildfly testing
- Jenkins for testing and continuous integration
- authoring-dev - Docker development environment for the course authoring platform
- authoring-client - Typescript/React/Redux editing client
- authoring-admin - Elm admin client
- authoring-eval - Typescript/Node dynamic question evaluation engine
- Maven
- Docker
- Docker Compose (Linux).
Clone this repository:
$ git clone https://github.com/Simon-Initiative/authoring-server
Next change the values in the service.envs file (database names, passwords, ports etc). Note that the
values for ports and names should be unique to this project, otherwise there is a
chance of name collision with other docker projects in you system.
First, to build the docker images, you will need to run the following at least once.
$ docker-compose build
Then, launch the docker containers
$ docker-compose up
This will run a containerized remote Wildfly application server as well as other support services (databases, distributed cache etc).
Note that this being a typical JEE maven project, you may build and debug your web application (via IDE or command line) without interacting with the remote application server.
$ mvn clean package
You also have, with proper setup, the option of deploying and testing the web application in a locally managed, Wildfly application server.
$ mvn clean test -Parq-wildfly-managed
To deploy the web application to the remote docker containerized Wildfly issue the command.
$ mvn clean install
Note that this command will run your JUnit tests before deploying the .war file to the application server.
For tests beyond unit tests (integration tests), run the following maven command
$ mvn clean test -Parq-wildfly-remote
If you edit service.envs, Dockerfile or docker-compose.yml files, stop, rebuild and restart the container:
$ docker-compose down
$ docker-compose up --build
This software is licensed under the MIT License © 2019 Carnegie Mellon University