/jhipster-dotnetcore

JHipster.NET blueprint

Primary LanguageHTMLApache License 2.0Apache-2.0

generator-jhipster-dotnetcore

NPM version Build Status Dependency Status

JHipster blueprint,

Introduction

This is a JHipster blueprint, that is meant to be used in a JHipster application.

Prerequisites

As this is a JHipster blueprint, we expect you have JHipster and its related tools already installed:

Installation

With NPM

To install this blueprint:

npm install -g generator-jhipster-dotnetcore

To update this blueprint:

npm update -g generator-jhipster-dotnetcore

With Yarn

To install this blueprint:

yarn global add generator-jhipster-dotnetcore

To update this blueprint:

yarn global upgrade generator-jhipster-dotnetcore

Usage

To use this blueprint, run the below command

jhipster --blueprint dotnetcore

Running local Blueprint version for development

During development of blueprint, please note the below steps. They are very important.

  1. Link your blueprint globally

Note: If you do not want to link the blueprint(step 3) to each project being created, use NPM instead of Yarn as yeoman doesn't seem to fetch globally linked Yarn modules. On the other hand, this means you have to use NPM in all the below steps as well.

cd dotnetcore
npm link
  1. Link a development version of JHipster to your blueprint (optional: required only if you want to use a non-released JHipster version, like the master branch or your own custom fork)

You could also use Yarn for this if you prefer

cd generator-jhipster
npm link

cd dotnetcore
npm link generator-jhipster
  1. Create a new folder for the app to be generated and link JHipster and your blueprint there
mkdir my-app && cd my-app

npm link generator-jhipster-dotnetcore
npm link generator-jhipster (Optional: Needed only if you are using a non-released JHipster version)

jhipster -d --blueprint dotnetcore

Running the generated app in a Docker container

  1. Build the Docker image of the app
docker build -f "[Dockerfile path]" -t [An image name]:[A tag] "[Application root path]"
  1. Run your image in a Docker container
docker run -d -p [A host port]:80 [Image name]:[Image tag]
  1. Open your favorite browser at localhost:[Chosen host port] and enjoy ! 🐳

License

Apache-2.0 © Daniel Petisme