JSON Schema

NOTE: This project is a fork from json_schema which itself appears to be no longer maintained.

A platform agnostic (dart:html or dart:io) Dart library for validating JSON instances against JSON Schemas (multi-version support with latest of Draft 6).

Build Status

How To Create and Validate Against a Schema

Synchronous Creation - Self Contained

The simplest way to create a schema is to pass JSON data directly to JsonSchema.createSchema with a JSON String, or decoded JSON via Dart Map or bool.

After creating any schema, JSON instances can be validated by calling .validate(instance) on that schema. By default, instances are expected to be pre-parsed JSON as native dart primitives (Map, List, String, bool, num, int). You can also optionally parse at validation time by passing in a string and setting parseJson: schema.validate('{ "name": "any JSON object"}', parseJson: true).

Note: Creating JsonSchemas synchronously implies access to all $refs within the root schema. If you don't have access to all this data at the time of the construction, see "Asynchronous Creation" examples below.

Example

A schema can be created with a Map that is either hand-crafted, referenced from a JSON file, or previously fetched from the network or file system.

import 'package:json_schema2/json_schema2.dart';

main() {
  /// Define schema in a Dart [Map] or use a JSON [String].
  final mustBeIntegerSchemaMap = {"type": "integer"};

  // Create some examples to validate against the schema.
  final n = 3;
  final decimals = 3.14;
  final str = 'hi';

  // Construct the schema from the schema map or JSON string.
  final schema = JsonSchema.createSchema(mustBeIntegerSchemaMap);

  print('$n => ${schema.validate(n)}'); // true
  print('$decimals => ${schema.validate(decimals)}'); // false
  print('$str => ${schema.validate(str)}'); // false
}

Synchronous Creation, Local Ref Cache

If you want to create JsonSchemas synchronously, and you have $refs that cannot be resolved within the root schema, but you have a cache of those $ref'd schemas locally, you can write a RefProvider to get them during schema evaluation.

Example

import 'dart:convert';
import 'package:json_schema2/json_schema2.dart';

main() {
  final referencedSchema = {
    r"$id": "https://example.com/geographical-location.schema.json",
    r"$schema": "http://json-schema.org/draft-06/schema#",
    "title": "Longitude and Latitude",
    "description": "A geographical coordinate on a planet (most commonly Earth).",
    "required": ["latitude", "longitude"],
    "type": "object",
    "properties": {
      "name": {"type": "string"},
      "latitude": {"type": "number", "minimum": -90, "maximum": 90},
      "longitude": {"type": "number", "minimum": -180, "maximum": 180}
    }
  };

  final RefProvider refProvider = (String ref) {
    final Map references = {
      'https://example.com/geographical-location.schema.json': JsonSchema.createSchema(referencedSchema),
    };

    if (references.containsKey(ref)) {
      return references[ref];
    }

    return null;
  };

  final schema = JsonSchema.createSchema({
    'type': 'array',
    'items': {r'$ref': 'https://example.com/geographical-location.schema.json'}
  }, refProvider: refProvider);

  final workivaLocations = [
    {
      'name': 'Ames',
      'latitude': 41.9956731,
      'longitude': -93.6403663,
    },
    {
      'name': 'Scottsdale',
      'latitude': 33.4634707,
      'longitude': -111.9266617,
    }
  ];

  final badLocations = [
    {
      'name': 'Bad Badlands',
      'latitude': 181,
      'longitude': 92,
    },
    {
      'name': 'Nowhereville',
      'latitude': -2000,
      'longitude': 7836,
    }
  ];

  print('${json.encode(workivaLocations)} => ${schema.validate(workivaLocations)}');
  print('${json.encode(badLocations)} => ${schema.validate(badLocations)}');
}

Asynchronous Creation, Remote HTTP Refs

If you have schemas that have nested $refs that are HTTP URIs that are publicly accessible, you can use Future<JsonSchema> JsonSchema.createSchemaAsync and the references will be fetched as needed during evaluation. You can also use JsonSchema.createSchemaFromUrl if you want to fetch the root schema remotely as well (see next example).

Example

import 'dart:io';

import 'package:json_schema2/json_schema2.dart';

main() async {

  // Schema Defined as a JSON String
  final schema = await JsonSchema.createSchemaAsync(r'''
  {
    "type": "array",
    "items": {
      "$ref": "https://raw.githubusercontent.com/json-schema-org/JSON-Schema-Test-Suite/master/remotes/integer.json"
    }
  }
  ''');

  // Create some examples to validate against the schema.
  final numbersArray = [1, 2, 3];
  final decimalsArray = [3.14, 1.2, 5.8];
  final strArray = ['hello', 'world'];

  print('$numbersArray => ${schema.validate(numbersArray)}'); // true
  print('$decimalsArray => ${schema.validate(decimalsArray)}'); // false
  print('$strArray => ${schema.validate(strArray)}'); // false

  // Exit the process cleanly (VM Only).
  exit(0);
}

Asynchronous Creation, From URL or File

You can also create a schema directly from a publicly accessible URL, like so:

Example 1 - URL

import 'dart:io';

import 'package:json_schema2/json_schema2.dart';

main() async {
  final url = "https://raw.githubusercontent.com/json-schema-org/JSON-Schema-Test-Suite/master/remotes/integer.json";

  final schema = await JsonSchema.createSchemaFromUrl(url);

  // Create some examples to validate against the schema.
  final n = 3;
  final decimals = 3.14;
  final str = 'hi';

  print('$n => ${schema.validate(n)}'); // true
  print('$decimals => ${schema.validate(decimals)}'); // false
  print('$str => ${schema.validate(str)}'); // false

  // Exit the process cleanly (VM Only).
  exit(0);
}

Asynchronous Creation, with custom remote $refs:

If you have nested $refs that are either non-HTTP URIs or non-publicly-accessible HTTP $refs, you can supply an RefProviderAsync to createSchemaAsync, and perform any custom logic you need.

Example

import 'dart:async';
import 'dart:convert';
import 'dart:io';

import 'package:json_schema2/json_schema2.dart';

main() async {
  final referencedSchema = {
    r"$id": "https://example.com/geographical-location.schema.json",
    r"$schema": "http://json-schema.org/draft-06/schema#",
    "title": "Longitude and Latitude",
    "description": "A geographical coordinate on a planet (most commonly Earth).",
    "required": ["latitude", "longitude"],
    "type": "object",
    "properties": {
      "name": {"type": "string"},
      "latitude": {"type": "number", "minimum": -90, "maximum": 90},
      "longitude": {"type": "number", "minimum": -180, "maximum": 180}
    }
  };

  final RefProviderAsync refProvider = (String ref) async {
    final Map references = {
      'https://example.com/geographical-location.schema.json': JsonSchema.createSchema(referencedSchema),
    };

    if (references.containsKey(ref)) {
      // Silly example that adds a 1 second delay.
      // In practice, you could make any service call here,
      // parse the results into a schema, and return.
      await new Future.delayed(new Duration(seconds: 1));
      return references[ref];
    }

    // Fall back to default URL $ref behavior
    return await JsonSchema.createSchemaFromUrl(ref);
  };

  final schema = await JsonSchema.createSchemaAsync({
    'type': 'array',
    'items': {r'$ref': 'https://example.com/geographical-location.schema.json'}
  }, refProvider: refProvider);

  final workivaLocations = [
    {
      'name': 'Ames',
      'latitude': 41.9956731,
      'longitude': -93.6403663,
    },
    {
      'name': 'Scottsdale',
      'latitude': 33.4634707,
      'longitude': -111.9266617,
    }
  ];

  final badLocations = [
    {
      'name': 'Bad Badlands',
      'latitude': 181,
      'longitude': 92,
    },
    {
      'name': 'Nowhereville',
      'latitude': -2000,
      'longitude': 7836,
    }
  ];

  print('${json.encode(workivaLocations)} => ${schema.validate(workivaLocations)}');
  print('${json.encode(badLocations)} => ${schema.validate(badLocations)}');

  exit(0);
}

Libraries

json_schema2