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capdag

v1.473.7

Published

JavaScript implementation of Cap URN (Capability Uniform Resource Names) with strict validation and matching

Readme

CapDAG for JavaScript

This public package is CapDAG's JavaScript planning and notation mirror. Use it in browsers or Node.js for Tagged, Media, and Cap URNs, capability definitions, dispatch, Machine Notation, planning, and graph rendering.

JavaScript intentionally does not implement the cartridge runtime, host, relay, or Bifaci process surface. That boundary is part of the package design, not an unreported parity gap. Rust remains the behavioral reference for shared features.

Install the package

npm install capdag

The package is an ES module and needs Node.js 20 or newer. Dispatch, acceptance, equivalence and specificity are decided by code generated from the proved model (formal foundations), which runs as WebAssembly: it is instantiated when the package is first imported, so importing it waits for that (top-level await), and a CommonJS require cannot load it.

Parse and build Cap URNs

import { CapUrn, CapUrnBuilder } from "capdag";

const parsed = CapUrn.fromString(
  'cap:disbind;in="media:document;ext=pdf";out="media:enc=utf-8;page"'
);
const built = new CapUrnBuilder()
  .inSpec("media:document;ext=pdf")
  .outSpec("media:enc=utf-8;page")
  .marker("disbind")
  .build();

console.log(parsed.toString() === built.toString());

Treat URNs as opaque parsed values. Use the package's predicates for equivalence, conformance, dispatch, and ranking instead of string surgery.

Read and write Machine Notation

A machine is read against the definitions of the caps it names: they say what each step takes and gives, by name and by type, and what a constant written in the machine is held to.

import { Cap, CapArg, CapOutput, ArgSource, CapUrn, CapDefinitions, parseMachine } from "capdag";

const extract = new Cap(
  CapUrn.fromString('cap:in="media:document;ext=pdf";extract;out="media:enc=utf-8;ext=txt"'),
  "Extract Text", ["extract"]
);
extract.addArg(new CapArg("media:document;ext=pdf", "document", true,
  [new ArgSource({ stdin: "media:document;ext=pdf" })]));
extract.addOutput(new CapOutput("media:enc=utf-8;ext=txt", "text", "The text"));

const definitions = new CapDefinitions().addCaps([extract]);
const machine = parseMachine(
  '[extract cap:in="media:document;ext=pdf";extract;out="media:enc=utf-8;ext=txt"]' +
  "[(document=pdf) -> extract -> text]",
  definitions
);
console.log(machine.toMachineNotation());

The definitions can come from the fabric registry instead. A client reads one manifest of it — a pinned version, or the one the registry has promoted as its latest — fetches each definition it needs, holds each cap to the definition rules as it reads it, and then serves as the definitions a machine is parsed against, fabric aliases included:

import { FabricRegistryClient, parseMachine } from "capdag";

const fabric = await FabricRegistryClient.latest("https://fabric.capdag.com");
await fabric.getCap('cap:in="media:document;ext=pdf";extract;out="media:enc=utf-8;ext=txt"');
const machine = parseMachine(
  '[extract cap:in="media:document;ext=pdf";extract;out="media:enc=utf-8;ext=txt"]' +
  "[pdf -> extract -> text]",
  fabric
);

A cap or media definition names the dims it was built from, and the value chosen from each, in its dims; its own documentation is only what is specific to it. A definition is held only together with every dim it names, so fabric.getCachedDim(name) gives the dim's title and documentation and those of each of its values (getDim(name) fetches one by name).

parseMachineWithAST also returns every statement with where each part of it stands in the text, and the name the text gave each node. A machine that names other machines in step position is read with a MachineSource (MapMachineSource, or FileMachineSource under Node.js). Anything with capDefinition(urn) and mediaDefinition(urn) can stand in for CapDefinitions.

Find the relevant API

  • capdag.js provides URNs, definitions, dispatch, matching, and Machine Notation: reading, resolving and writing machines.
  • machine-parser.js is generated from machine.pegjs.
  • planner.js provides the planner's request and result vocabulary.
  • cap-fab-renderer.js (capdag/cap-fab-renderer) renders graphs; the page provides cytoscape and cytoscape-elk.
  • formal/ is the generated model code, with its WebAssembly program.
  • RULES.md records package-specific construction rules.

The normative semantics and terminology live in the CapDAG specification. Source comments and exports are the JavaScript API reference.

Use it in a browser

node build-browser.js <dir> lays out capdag, tagged-urn and lungo-ts as ES modules a page loads without a bundler, each beside its WebAssembly program. A page imports <dir>/capdag/capdag.js, or — for page scripts that are not modules — imports <dir>/capdag/browser.js from a module script, which puts every public name on the global object once the models are instantiated. A page with a content security policy allows script-src 'wasm-unsafe-eval'.

Build and verify changes

npm run build:parser
npm test

npm test runs the parser build first. Shared behavior changes require the applicable reference test with the same substantive number and assertions.

License

MIT