Translation service between a spoken and a signed language.

• Node.js
• IBM Cloud Natural Language Understanding service
• MongoDB

Optionally, this application, the database and all the different tests can be build and run in Docker.

To build and run only the database components in Docker, execute:

docker-compose up -d mongo mongo-seed mongo-express

Install project dependencies:

npm install

Create an .env file and set the IBM Cloud Natural Language Understanding service URL and API key by replacing <NLU_URL> and <NLU_API_KEY>:

NLU_URL=<NLU_URL>
NLU_API_KEY=<NLU_API_KEY>

Create an .env file to start the application in cluster mode, change its running port, log level, directory and maximum size. The variable names and default values are:

CLUSTER_MODE=false
PORT=3000
LOG_ENABLED=true
LOG_LEVEL=info
LOG_DIR=logs
LOG_MAX_SIZE=10m
LOG_MAX_FILES=7d

Change MongoDB connection by specifying MONGODB_HOSTNAME and MONGODB_PORT values in .env file. The default values are:

MONGODB_HOSTNAME=localhost
MONGODB_PORT=27017

Start the application:

npm start

Access localhost:3000/docs to check the API documentation.

Run code style, unit, integration and security tests:

npm test

Generate code coverage test report:

npm run cover

When reports are created, coverage/lcov-report/index.html can be opened in a web browser.

Run performance tests:

npm run test:performance

When performance tests are completed, generate report:

npm run performance:report

logs/performance.log.html should open in a web browser.