mlTools

This application was generated using JHipster 6.8.0, you can find documentation and help at https://www.jhipster.tech/documentation-archive/v6.8.0.

This is a "microservice" application intended to be part of a microservice architecture, please refer to the Doing microservices with JHipster page of the documentation for more information.

This application is configured for Service Discovery and Configuration with the JHipster-Registry. On launch, it will refuse to start if it is not able to connect to the JHipster-Registry at http://localhost:8761. For more information, read our documentation on Service Discovery and Configuration with the JHipster-Registry.

Development

To start your application in the dev profile, run:

./mvnw

For further instructions on how to develop with JHipster, have a look at Using JHipster in development.

Doing API-First development using openapi-generator

OpenAPI-Generator is configured for this application. You can generate API code from the src/main/resources/swagger/api.yml definition file by running:

./mvnw generate-sources

Then implements the generated delegate classes with @Service classes.

To edit the api.yml definition file, you can use a tool such as Swagger-Editor. Start a local instance of the swagger-editor using docker by running: docker-compose -f src/main/docker/swagger-editor.yml up -d. The editor will then be reachable at http://localhost:7742.

Refer to Doing API-First development for more details.

Building for production

Packaging as jar

To build the final jar and optimize the mlTools application for production, run:

./mvnw -Pprod clean verify

To ensure everything worked, run:

java -jar target/*.jar

Refer to Using JHipster in production for more details.

Packaging as war

To package your application as a war in order to deploy it to an application server, run:

./mvnw -Pprod,war clean verify

Testing

To launch your application's tests, run:

./mvnw verify

For more information, refer to the Running tests page.

Code quality

Sonar is used to analyse code quality. You can start a local Sonar server (accessible on http://localhost:9001) with:

docker-compose -f src/main/docker/sonar.yml up -d

You can run a Sonar analysis with using the sonar-scanner or by using the maven plugin.

Then, run a Sonar analysis:

./mvnw -Pprod clean verify sonar:sonar

If you need to re-run the Sonar phase, please be sure to specify at least the initialize phase since Sonar properties are loaded from the sonar-project.properties file.

./mvnw initialize sonar:sonar

For more information, refer to the Code quality page.

Using Docker to simplify development (optional)

You can use Docker to improve your JHipster development experience. A number of docker-compose configuration are available in the src/main/docker folder to launch required third party services.

For example, to start a postgresql database in a docker container, run:

docker-compose -f src/main/docker/postgresql.yml up -d

To stop it and remove the container, run:

docker-compose -f src/main/docker/postgresql.yml down

You can also fully dockerize your application and all the services that it depends on. To achieve this, first build a docker image of your app by running:

./mvnw -Pprod verify jib:dockerBuild

Then run:

docker-compose -f src/main/docker/app.yml up -d

For more information refer to Using Docker and Docker-Compose, this page also contains information on the docker-compose sub-generator (jhipster docker-compose), which is able to generate docker configurations for one or several JHipster applications.

Continuous Integration (optional)

To configure CI for your project, run the ci-cd sub-generator (jhipster ci-cd), this will let you generate configuration files for a number of Continuous Integration systems. Consult the Setting up Continuous Integration page for more information.

ghacupha/ml-tools-api