Faker engine
Our faker engine is responsible for deploying fake GraphQL backend with fake GraphiQL endpoint that you can use, e.g. in Front-end development. The fake endpoint also generates fake data based on types from the schema.
To deploy faker you need a valid schema with at least a schema query type. If you don't have it defined, the editor will throw an error when deploying it.
To deploy:
In our newest version of Faker, you can define the way the values are faked. You can either provide an array of values of which faker will randomly choose a value each time fake data is requested or use faker.js methods to fake the data with this marvelous library built into our engine.
Here is a short example of how values are faked inside explore-projects/twitter
