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@tpluscode/rdfine
Advanced tools
npm i @tplusode/rdfine
While it is possible to inherit a base resource class, it's best to create partial mixin classes which implement part of the RDF model. Mixins are dynamically applied to compose a JavaScript object model closely matching the actual quad data.
// Person.ts
import { Constructor, namespace, property, RdfResource } from '@tplusode/rdfine'
import { Term } from 'rdf-js'
import { namedNode } from 'rdf-data-model'
// TS: define an interface for your object model
export interface Person extends RdfResource {
name: string
friends: Person[]
}
export function PersonMixin<Base extends Constructor>(base: Base) {
@namespace('http://schema.org/')
class P extends base implements Person {
// Literal property
// By default use the property's name with the annotated @namespace
@property.literal()
name!: string // http://schema.org/name
// Customize the getter to return objects of a certain property
@property.resource({
// http://schema.org/knows
path: 'knows',
// always return a JS array
array: true
})
friends!: Person[]
// getting raw RDF/JS terms
// by annotating with plain @property
@property({
path: 'http://www.w3.org/2000/01/rdf-schema#label'
})
label: Term
// use _node property to access raw triples
// by traversing the graph with https://github.com/rdf-ext/clownface
get hasOccupation(): boolean {
return this._node
.out(namedNode('http://schema.org/hasOccupation'))
.terms.length > 0
}
}
return P
}
// add a function to decide if the underlying resource
// satisfies the Person interface
// for example by checking its RDF types
PersonMixin.shouldApply = (res: RdfResource) => {
return res.hasType('http://schema.org/Person')
}
Instead of directly creating resource types, which would require deciding up-front, which mixins to add to the constructed class, a factory can be used.
import { DatasetCore } from 'rdf-js'
import { namedNode } from 'rdf-data-model'
import { factory } from '@tpluscode/rdfine'
import { Person, PersonMixin } from './Person'
// register the mixin type with the factory
factory.addMixin(PersonMixin)
// load you RDF triples into a RDF/JS dataset
let dataset: DatasetCore = loadRdfData()
const person = factory.createEntity<Person>({
dataset,
term: namedNode('http://example.com/gh/tpluscode')
})
The setters are immediately reflected in the underlying. Note that any property can also be set with raw RDF term matching the annotated type
import { namedNode } from 'rdf-data-model'
person.name = "Tomasz"
person.friends = [
namedNode('http://example.com/gh/bergos'),
namedNode('http://example.com/gh/ktk')
] as any as Person[]
console.log(person._node.dataset.toString())
The last line above will print triples equivalent to those below
@prefix schema: <http://schema.org/> .
<http://example.com/gh/tpluscode>
schema:name "Tomasz" ;
schema:knows <http://example.com/gh/bergos> , <http://example.com/gh/ktk> .
FAQs
RDF/JS idiomatic, native, effective
The npm package @tpluscode/rdfine receives a total of 57 weekly downloads. As such, @tpluscode/rdfine popularity was classified as not popular.
We found that @tpluscode/rdfine demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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