datashare-client

Requirements

You need Yarn installed on your machine (tested with version 1.9.4).

Vue CLI requires Node.js version 8.9 or above (8.11.0+ recommended) [source].

Tested with Node.js LTS 10.15.2.

Install

• Install system dependencies for canvas support in testing environement:

sudo apt-get install libcairo2-dev libjpeg-dev libpango1.0-dev libgif-dev build-essential g++

• Install Vue CLI:

sudo yarn global add @vue/cli

• Install dependencies:

yarn

• Serve with hot reload at localhost:9090

yarn serve

Build Setup

# install / update dependencies
yarn

# serve with hot reload at localhost:9090
yarn serve

# build for production with minification
yarn build

# lint and fixe files
yarn lint

# run unit tests serially with jest
make unit

# run integration tests serially with jest
make integration

# run e2e tests
yarn test:e2e

# run all tests
yarn test

For a detailed explanation on how things work, check out the guide and docs for vue-loader.

How to run with datashare backend locally

Datashare backend allows to index, find names and provide file preview or download. It can be run alongside the dev frontend for manual testing with the benefits of hot reloading with yarn serve.

You have to either run the backend docker container, or the java code if you are willing to modify the backend code.

There are three parameters to use when using the backend in dev mode :

• run the web server with -w
• allow Cross Origin requests (from the front to the back) with --cors <pattern>
• points to the data directory (where the source files are located, the directory must be called data) with -d

⚠️ Caution : In both case, you need to add "elasticsearch" and "redis" as known hosts in your /etc/hosts file, on line 127.0.0.1.

127.0.0.1 localhost elasticsearch redis

with docker

You can just use the datashare.sh script that will download and launch the services used by datashare (i.e. redis and elasticsearch) :

cd where/is/your/data
/path/to/datashare.sh -w --cors '*'

Then the script will ask you where your data is, you can just type enter as by default it is the current directory. And when the NLP models should be stored.

with java code

There is a shell script launchBack.sh at the root of the datashare backend repository.

After having compiled java code, you can launch the script with :

./launchBack -d /path/to/data

• NOTE 1 : /path/to/data must end with data
• NOTE 2 : the --cors is already set in the shell script

Run tests inside Majestic

Majestic is a "zero config GUI for Jest". First, you need to install it globally:

npm install -g majestic

Then run Majestic and open localhost:4000:

yarn run test:unit:majestic

Internationalisation

To retrieve the list of the keys translated into English but not present in the other languages files :

./bin/compareTranslations.sh