@ovotech/json-schema v0.12.6
JSON Schema
A lightweight a json-schema.
Dependencies:
- yaml
- axios
Supported JSON Schema drafts
- draft-4
- draft-5
- draft-7
- draft-2019-09
- openapi3 (The json-schema variant that's used by OpenApi 3: https://swagger.io/docs/specification/data-models/keywords/)
Usage
yarn add @ovotech/json-schema
import { validate, Schema } from '@ovotech/json-schema';
const schema: Schema = {
type: 'string',
format: 'email',
};
const value = '12horses';
validate({ schema, value }).then((result) => console.log(result.valid, result.errors));
Should output
false
[ '[value] should match email format' ]
Compare to other implementations
It is comparatively slower than the venerable Ajv but is a lot simpler and smaller. It also passes the official json-schema-org/JSON-Schema-Test-Suite.
It does not rely on any shared state or static parameters returning all the errors for a given validation operation in one result. Which was one of the reasons to develop an alternative to Ajv in the first place.
It was made as a lightweight dependency to @ovotech/laminar framework with nice error messages.
Examples
Compile and Validate
If we assume we have those 2 http resources at the given URLs, You can compile the schema once, downloading the relevant URLs, and then use the CompiledSchema
to perform any further validation without downloading and parsing the files again.
import { validate, compile } from '@ovotech/json-schema';
import * as nock from 'nock';
const mainSchema = `
{
"type": "object",
"properties": {
"size": {
"type": "number"
},
"color": { "$ref": "https://example.com/color" }
}
}
`;
const colorSchema = `
enum:
- red
- green
- blue
`;
nock('https://example.com')
.get('/schema')
.reply(200, mainSchema, { 'Content-Type': 'application/json' })
.get('/color')
.reply(200, colorSchema, { 'Content-Type': 'application/yaml' });
compile('https://example.com/schema').then((schema) => {
console.log(schema);
const correct = { size: 10, color: 'red' };
const incorrect = { size: 'big', color: 'orange' };
validate({ schema, value: correct }).then((result) => {
console.log(result.valid, result.errors);
});
validate({ schema, value: incorrect }).then((result) => {
console.log(result.valid, result.errors);
});
});
Load local files
You can also provide paths to local files to download the schema from. It it ends with "yaml" or "yml" it would be loaded as YAML, otherwise it would be parsed as JSON.
import { validateCompiled, validate, compile } from '@ovotech/json-schema';
import { join } from 'path';
const schema = join(__dirname, 'color-schema.yaml');
validate({ schema, value: 'orange' }).then((result) => {
console.log('validate', result.valid, result.errors);
});
compile({ schema }).then((compiledSchema) => {
const result = validateCompiled({ schema: compiledSchema, value: 'red' });
console.log('compile', result.valid, result.errors);
});
API
validate validate given data with a schema. The schema can be a path to a yaml / json file, or a url to one, as well as plain old js object with the said schema.
function async validate(schema: Schema | string | CompiledSchema, data: unkown) => Promise<{
schema: Schema,
valid: boolean,
errors: string[],
}>
compile Compile a schema by downloading any dependencies, resolving json refs or loading yaml / json files from URLs or file paths. The result can be passed to validate to skip the downloading.
function async compile(schema: Schema | string) => Promise<CompiledSchema>
validateCompiled You can pass the compiled schema and it will process the schema synchronously, without the use of Promises.
function async validateCompiled(schema: CompiledSchema, data: unkown) => {
schema: Schema,
valid: boolean,
errors: string[],
}
ensureValid Ensure that a given value is of a typescript type, using json-schema
function async ensureValid<T>(schema: CompiledSchema, data: unkown) => data as T
Develop
yarn
yarn test
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