Faker engine

Our faker engine is responsible for deploying fak GraphQL backend with fake GraphiQL endpoint you can use in Front-end development for example. Fake endpoint also generates fake data based on types from schema:
https://app.graphqleditor.com/explore-projects/twitter?visibleMenu=faker
Faker configuration
You can configure Faker to receive data more relevant to what you want to achieve. This can be done using configuration JSON. 
{
	"objects": {
		"MyType": {
			"stringField": {
				"values": ["value1", "value2"] # list of possible values
			},
			"intField": {
				"values": [1, 2] # list of possible values
			},
			"floatField": {
				"values": [1.0, 2.0] # list of possible values
			},
			"booleanField": {
				"values": [true] # list of possible values
			},
			"customScalarField": {
				"values": ["value", 1, 2.0, true, {"json": ["is", "also", "valid"]}] # list of possible values
			},
			"randomlyFakedField": {
				"fake": "name.firstName" # a faker string to be used
			}
		}
	},
	"scalars": {
		"MyCustomScalarWithValues": {
			"values": ["value", 1, 2.0, true, {"json": ["is", "also", "valid"]}] # list of values that this scalar can return
		},
		"MyCustomFakedScalar": {
			"fake":  # a faker string to be used
		}
	}
}
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Last updated 6 days ago