// parse the schema JSON as string
JsonValue schemaJson = new JsonParser("""
{
	"$schema": "https://json-schema.org/draft/2020-12/schema",
	"type": "object",
	"properties": {
		"age": {
			"type": "number",
			"minimum": 0
		},
		"name": {
			"type": "string"
		},
		"email": {
			"type": "string",
			"format": "email"
		}
	}
}
""").parse();
// map the raw json to a reusable Schema instance
Schema schema = new SchemaLoader(schemaJson).load();

// create a validator instance for each validation (one-time use object)
Validator validator = Validator.create(schema, new ValidatorConfig(FormatValidationPolicy.ALWAYS));

// parse the input instance to validate against the schema
JsonValue instance = new JsonParser("""
{
	"age": -5,
	"name": null,
	"email": "invalid"
}
""").parse();

// run the validation
ValidationFailure failure = validator.validate(instance);

// print the validation failures (if any)
System.out.println(failure);

// HTTP(s) protocol is also supported
Schema schema = SchemaLoader.forURL("classpath:https:///path/to/your/schema.json").load();

// create a validator instance for each validation (one-time use object) 
Validator validator = Validator.forSchema(schema);
// ...

// Creating a SchemaLoader config with a pre-registered schema by URI
SchemaLoaderConfig config = createDefaultConfig(Map.of(
			// When the loader sees this URI,
			new URI("urn:uuid:d652a438-9897-4160-959c-bbdb690c3e0d"),

			// then it will resolve it to this schema json
			"""
			{
				"$defs": {
					"ItemType": {
						"type": "integer",
						"minimum": 0
					}
				}
			}
			"""
	));
// parsing the schema json, with a $ref to the above pre-configured URI
JsonValue schemaJson = new JsonParser("""
		{
			"type": "array",
			"items": {
				"$ref": "urn:uuid:d652a438-9897-4160-959c-bbdb690c3e0d#/$defs/ItemType"
			}
		}
		""").parse();
// loading the schema json into a Schema object
Schema schema = new SchemaLoader(schemaJson, config).load();

// running the validation
ValidationFailure result = Validator.forSchema(schema).validate(new JsonParser("[null]").parse());
System.out.println(result.toJSON());

JsonValue schemaJson = new JsonParser("""
{
    "type": "object",
    "properties": {
        "id": {
            "readOnly": true,
            "type": "number"
        },
        "name": {
            "type": "string"
        },
        "password": {
            "type": "string",
            "writeOnly": true
        }
    }
}
""").parse();
// map the raw json to a reusable Schema instance
Schema schema = new SchemaLoader(schemaJson).load();

// creating write-context validator, it will report validation failures
// for read-only properties that are included in the instance
var writeContextValidator = Validator.create(schema, ValidatorConfig.builder()
        .readWriteContext(ReadWriteContext.WRITE)
        .build()
);

// creating the json document which will be validated (first in write context, then in read context)
JsonValue instance = new JsonParser("""
        {
            "id": 1,
            "name": "John Doe",
            "password": "v3ry_s3cur3"
        }
        """).parse();
var writeContextFailure = writeContextValidator.validate(instance);

// prints failure because the read-only property "id" is present in write context
System.out.println(writeContextFailure);

// creating read-context validator, it will report validation failures
// for write-only properties that are included in the instance
var readContextValidator = Validator.create(schema, ValidatorConfig.builder()
        .readWriteContext(ReadWriteContext.READ)
        .build()
);

var readContextFailure = readContextValidator.validate(instance);

// prints failure because the write-only property "password" is present in read context
System.out.println(readContextFailure);

import static com.github.erosb.jsonsKema.SchemaBuilder.*;
//...
typeObject()
    .property("myString", typeString()
        .minLength(2)
        .maxLength(50)
        .pattern("^[a-zA-Z ]*$")
    ).property("myInteger", typeInteger()
        .minimum(10)
        .maximum(20)
        .multipleOf(4)
    ).property("myObject", typeObject()
        .additionalProperties(falseSchema())
        .patternProperties(Map.of(
            "^[A-Z]{2}$", allOf(
                typeArray().items(typeNumber())
                    .prefixItems(List.of(typeBoolean(), typeBoolean())),
                typeArray().minContains(3, constSchema(new JsonNumber(1.5)))
            )
        ))
    )