@metreeca/qest

Minimalist foundations for client-driven, queryable REST/JSON APIs.

@metreeca/qest standardizes critical capabilities that vanilla REST/JSON APIs typically lack or implement in ad‑hoc, non‑portable ways:

• Client-Driven: clients specify what they need, retrieving complex envelopes in a single call
• Queryable: advanced filtering and aggregation, supporting faceted search and analytics

Developers seek these features in frameworks like GraphQL; @metreeca/qest brings them to REST/JSON, achieving:

• Familiar Patterns: standard REST and JSON conventions, no new paradigms to learn
• Simple Clients: no specialized libraries, preprocessors, or code generators
• Automated Servers: model-driven development, dramatically reducing implementation effort
• Standard Caching: compatibility with CDNs and browser caches using standard GET requests
• URL-Based Versioning: standard REST versioning without field deprecation complexity

Installation

npm install @metreeca/qest
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Usage

@metreeca/qest types define payload semantics and formats for standard REST operations:

Method	Type	Description
GET	Resource	Resource retrieval
GET	Resource	Collection retrieval
GET	Model	Client-driven resource retrieval
GET	Query	Client-driven collection retrieval
POST	Resource	Resource creation
PUT	Resource	Complete resource state update
PATCH	Patch	Partial resource state update
DELETE	IRI	Resource deletion

Resources and Patches

A Resource is a property map describing data returned by a REST endpoint, with optional links to other endpoints:

GET https://data.example.com/products/123
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{
  "id": "https://data.example.com/products/123",
  "name": "Widget",
  "category": "Electronics",
  "tags": [
    "gadget",
    "featured"
  ],
  "vendor": "https://data.example.com/vendors/456",
  "price": 99.99,
  "inStock": true
}
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The same format is used for complete resource updates:

PUT https://data.example.com/products/123
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({
    name: "Widget",
    category: "Electronics",
    tags: ["gadget", "premium"],
    vendor: "https://data.example.com/vendors/456",
    price: 79.99,
    // inStock                     // not included → deleted
});
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A Patch describes partial updates with the same effect:

PATCH https://data.example.com/products/123
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({
    tags: ["gadget", "premium"], // updated
    price: 79.99, // updated
    inStock: null, // deleted
});
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Properties set to null are deleted; properties not included are unchanged.

Client-Driven Retrieval

Client-driven retrieval lets clients specify exactly what data to retrieve from both single resources and collections. Expansions and nested queries can be arbitrarily deep: no over-fetching of unwanted fields, no under-fetching requiring additional calls to resolve linked resources.

This is the core contribution of @metreeca/qest: vanilla REST/JSON APIs lack a standard way for clients to control retrieval, forcing them to accept fixed server responses or rely on ad-hoc query parameters. Client-driven retrieval fills this gap, supporting precise control over responses while remaining fully compatible with standard HTTP caching.

Resources — A Model defines the data retrieval envelope: which properties to include and how deeply and in how much detail to expand linked resources.

GET https://data.example.com/products/123?<model>
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where <model> is the following URL-encoded JSON:

({
    id: "",
    name: "",
    price: 0,
    vendor: {
        id: "",
        name: "",
    },
});
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The response includes only the requested properties, with the linked vendor expanded to show just id and name:

{
  "id": "https://data.example.com/products/123",
  "name": "Widget",
  "price": 99.99,
  "vendor": {
    "id": "https://data.example.com/vendors/145",
    "name": "Acme"
  }
}
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Collections — A Query combines a projection model with filtering, ordering, and pagination criteria, also supporting computed projections including aggregates for faceted search and analytics.

GET https://data.example.com/products/?<query>
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where <query> is the following URL-encoded JSON:

({
    items: [
        {
            id: "",
            name: "",
            price: 0,
            vendor: {
                id: "",
                name: "",
            },
            ">=price": 50, // filter: price ≥ 50
            "<=price": 150, // filter: price ≤ 150
            "^price": "asc", // sort: by price ascending
            "#": 25, // limit: 25 results
        },
    ],
});
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A single call returns exactly what the client requested:

• projected: product id, name, price
• expanded: linked vendor with only id and name (not its full state)
• filtered: price between 50 and 150
• sorted: by price ascending
• paginated: up to 25 results

{
  "items": [
    {
      "id": "https://data.example.com/products/456",
      "name": "Gadget",
      "price": 59.99,
      "vendor": {
        "id": "https://data.example.com/vendors/145",
        "name": "Acme"
      }
    },
    {
      "id": "https://data.example.com/products/123",
      "name": "Widget",
      "price": 99.99,
      "vendor": {
        "id": "https://data.example.com/vendors/145",
        "name": "Acme"
      }
    },
    {
      "id": "https://data.example.com/products/789",
      "name": "Gizmo",
      "price": 129.99,
      "vendor": {
        "id": "https://data.example.com/vendors/236",
        "name": "Globex"
      }
    }
  ]
}
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Integrated Ecosystem

@metreeca/qest is also the foundation of an integrated ecosystem for rapid development of linked data applications, turning those same types into a complete model-driven stack:

Package	Description
@metreeca/qest	Data types for client-driven, queryable REST/JSON APIs
@metreeca/blue	Declarative blueprints for model-driven linked data processing
@metreeca/keep (upcoming)	Shape-driven storage framework with pluggable adapters
@metreeca/gate (upcoming)	Shape-driven REST/JSON API publishing

JSON-LD Foundations

JSON-LD (JSON for Linked Data) is a W3C standard for publishing linked data on the web. It extends JSON with web identifiers (IRIs) to link resources across systems and domains, and to give property names precise, machine-readable meaning by mapping them to shared vocabularies — a capability at the heart of the Web Data Activity ( Semantic Web) and modern knowledge graphs.

@metreeca/qest defines a controlled JSON-LD subset designed to feel like plain idiomatic JSON, letting JavaScript developers work with linked data using familiar REST/JSON patterns without mastering JSON-LD technicalities, while retaining full compatibility with standard JSON-LD processors.

This controlled subset is specified by:

• compacted documents with short property names and nested objects, just like regular JSON

• ECMAScript identifiers as property names (terms), enabling dot notation access; JSON-LD keywords (@id, @type, etc.) and blank node identifiers are not allowed and must be mapped to identifiers via an application-provided @context (for instance, "id": "@id"); @context must also maps property names to IRIs for semantic interoperability

• native JSON primitives (boolean, number, string) as values; typed literals with arbitrary datatypes are not allowed and must be represented as strings with datatype coercion declared in @context

• language maps for localised text; @none keys for non-localised values in language maps are not allowed and must be handled using string | Local union types or the zxx language tag

• index maps for key-indexed property values; indexed semantics must be signalled by application-provided @context declarations, as indexed values are otherwise indistinguishable from nested resources

• IRI references for linking resources across systems and domains; data structures require absolute IRIs; codec functions handle conversion to/from root-relative forms

Support

• open an issue to report a problem or to suggest a new feature
• start a discussion to ask a how-to question or to share an idea

License

This project is licensed under the Apache 2.0 License – see LICENSE file for details.