GraphQl service to provide backend environment for xExchange

Dependencies

1. Node.js > @18.x.x is required to be installed docs
2. Redis Server is required to be installed docs.
3. RabbitMQ Server is required to be installed docs.
4. MongoDB Server is required to be installed docs.

You can use docker-compose up in a separate terminal to use a local docker container for all these dependencies.

After running the sample, you can stop the Docker container with docker-compose down

Available Scripts

This is an MultiversX project built on Nest.js framework.

npm run start

Runs the app in the production mode. Make requests to http://localhost:3005/graphql.

Running the app

1. At the root folder run (make sure you have node v16.x.x)

$ npm install

2. Proper config .env.example based on desired configuration

3. Start the app

# development debug mode
$ npm run start:debug
# development mode
$ npm run start:dev
# production mode
$ npm run start

It depends on the following external systems:

• gateway:
  • docs: https://docs.multiversx.com/sdk-and-tools/proxy/
• index:
  • to gather information for some statistics
  • docs: https://docs.multiversx.com/sdk-and-tools/elastic-search/
• api:
  • to get information regarding tokens, metaesdts and user balances
  • docs: https://docs.multiversx.com/sdk-and-tools/rest-api/multiversx-api/ It uses on the following internal systems:
• redis: used to cache various data, for performance purposes
• rabbitmq:
  • fetching events from blockchain emitted events via notifier

A service instance can be started with the following behavior:

• public API: provides graphQL queries for the consumers
• private API: used to report prometheus metrics & health checks
• rabbitMQ: used to fetch events in real time and create analytics data
• cache warmer: used to proactively fetch data & pushes it to cache, to improve performance & scalability

It depends on the following optional external systems:

• events notifier rabbitmq: queue that pushes logs & events which are handled internally e.g. to store token prices
• AWS Timestream: used to store time based metrics such as prices, volumes, fees

It uses the following optional internal systems:

• mongo database: used to store configs and addresses