json-schema-builder

Create syntactically correct JSON Schema with a fluent JavaScript API.

npm install --save json-schema-builder

See the wiki and tests for documentation and examples.

Basic Usage

Use json-schema-builder to create an empty schema object:

var jsb = require('json-schema-builder');
var schema = jsb.schema();

Use .json() on any JSON schema builder object to generate actual JSON Schema:

var doc = schema.json()

At this point, doc is just an empty schema ({}) that can be used by a JSON Schema validator to match any JSON instance (a JSON instance is any data in valid JSON format).

Add a validation constraint to any schema

Schemas can have validation constraints that restrict the set of JSON instances that can match a schema. There are constraints that apply to any schema.

One such constraint is type. For schemas that have a type constraint, there are additional constraints that can be applied depending on whether the type is numeric (number or integer), string, array, or object.

type constraint for any schema

var schema = jsb.schema().type( <value> )

where value is a string specifying any valid JSON Schema type (boolean, integer, number, string, array, object, and null).

Unless creating an empty schema as shown in the previous section, it is not necessary to explicitly invoke schema() as shown here. The following example shows the equivalent (and preferred) form:

var schema = jsb.type('string')

The type constraint can be used to restrict JSON instances to a particular set of acceptable types. The following example demonstrates how to specify a list of types that could be used to validate JSON instances that are either integer or string values:

var schema = jsb.type( 'integer', 'string' );

type has convenient wrappers corresponding to all the valid JSON Schema types:

var integerSchema = jsb.integer();  // jsb.type('integer')
var numberSchema  = jsb.number();   // jsb.type('number')
var booleanSchema = jsb.boolean();  // jsb.type('boolean')
var stringSchema  = jsb.string();   // jsb.type('string')
var arraySchema   = jsb.array();    // jsb.type('array')
var objectSchema  = jsb.object();   // jsb.type('object')
var nullSchema    = jsb.null();     // jsb.type('null')

Using integerSchema from this example, integerSchema.json() would generate the following JSON Schema document (or fragment):

{
  "type": "integer"
}

This schema can be used by a validator to match any integer JSON instance (any number without a fraction or exponent part).

Additional constraints for any schema

In addition to the type constraints, other constraints that can be applied to any schema include enum, allOf, anyOf, oneOf, and not.

See Validation for any instance type.

Constraints for numeric types

The following constraints can be applied to numeric types: multipleOf, maximum and exclusiveMaximum, and minimum and exclusiveMinimum.

See Validation for numeric types.

Constraints for string types

The following constraints can be applied to string types: maxLength, minLength, and pattern.

See Validation for string types.

Constraints for array types

The following constraints can be applied to array types: additionalItems and items, maxItems, minItems, and uniqueItems.

See Validation for array types.

Constraints for object types

The following constraints can be applied to object types: maxProperties, minProperties, required, additionalProperties, properties, patternProperties, and dependencies.

See Validation for object types.

Saving a schema to file

There is a convenience save method for saving a schema to a file. It generates output as JSON Schema and saves it as a UTF-8, formatted JSON file with 2-space indentation.

// save to a file synchronously
schema.save(path, to, filename);

// save to a file asynchronously
schema.save(filename, function(err) {
  ...
});

Of course, the output from schema.json() can be explicitly persisted any way desired.

Tests

npm test

json-schema-builder provides tests to verify the API can generate all the schemas that comprise the standard JSON Schema Test Suite.