feat: el-ui — activation-based frontend framework, spreading activation reactivity, graph state

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Will Anderson
2026-04-27 19:15:53 -05:00
commit 3bf3c02854
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/**
* graph.js — In-browser Engram graph for el-ui state management.
*
* Every piece of component state is a node in this graph.
* Edges encode relationships between state items (e.g., derived values,
* related data, component hierarchies).
*
* Reactivity is driven by spreading activation: when a node is updated,
* activation spreads outward through edges, and subscribers on any activated
* node are notified. Only subscribers in the activation surface update —
* this is the core of el-ui's selective re-rendering.
*/
export class Graph {
constructor() {
/** @type {Map<string, {id: string, type: string, name: string, content: any, importance: number, edges: string[]}>} */
this.nodes = new Map();
/** @type {Map<string, {id: string, from: string, to: string, weight: number, relation: string}>} */
this.edges = new Map();
/** @type {Map<string, Array<function>>} */
this.subscribers = new Map();
}
/**
* Create a new node and return its ID.
* @param {{type: string, name: string, content: any, importance?: number}} opts
* @returns {string} node ID
*/
seed({ type, name, content, importance = 0.5 }) {
const id = this._uuid();
this.nodes.set(id, { id, type, name, content, importance, edges: [] });
return id;
}
/**
* Get a node by ID.
* @param {string} id
* @returns {{id: string, type: string, name: string, content: any, importance: number, edges: string[]} | undefined}
*/
get(id) {
return this.nodes.get(id);
}
/**
* Update node content and trigger spreading activation.
* This is the primary mutation point — all state changes go through here.
* @param {string} id
* @param {any} newContent
*/
update(id, newContent) {
const node = this.nodes.get(id);
if (!node) return;
node.content = newContent;
// Activation boosts importance — recently-changed state nodes
// become more salient (same model as Engram salience boost).
node.importance = Math.min(1.0, node.importance + 0.1);
// Spreading activation from the updated node
const activated = this.activate(id);
// Notify all subscribers in the activation surface
for (const nodeId of activated) {
const subs = this.subscribers.get(nodeId);
if (subs && subs.length > 0) {
const activatedNode = this.nodes.get(nodeId);
if (activatedNode) {
subs.forEach(cb => cb(activatedNode));
}
}
}
// Always notify direct subscribers on the changed node itself
const directSubs = this.subscribers.get(id);
if (directSubs && directSubs.length > 0) {
directSubs.forEach(cb => cb(node));
}
}
/**
* Spreading activation — BFS from a seed node.
*
* Faithfully mirrors the Engram spreading activation algorithm:
* strength = parent_strength × edge.weight × target.importance
*
* (In the browser we omit cosine_sim since we have no embedding vectors —
* the importance factor serves as the salience filter.)
*
* @param {string} seedId
* @param {number} maxDepth
* @param {number} pruneThreshold
* @returns {Set<string>} set of activated node IDs (including the seed)
*/
activate(seedId, maxDepth = 3, pruneThreshold = 0.01) {
const result = new Set([seedId]);
/** @type {Array<{id: string, strength: number, depth: number}>} */
const queue = [{ id: seedId, strength: 1.0, depth: 0 }];
/** @type {Map<string, number>} */
const bestStrength = new Map([[seedId, 1.0]]);
while (queue.length > 0) {
// Best-first: process highest-strength candidate
let bestIdx = 0;
for (let i = 1; i < queue.length; i++) {
if (queue[i].strength > queue[bestIdx].strength) bestIdx = i;
}
const { id, strength, depth } = queue.splice(bestIdx, 1)[0];
if (depth >= maxDepth) continue;
const node = this.nodes.get(id);
if (!node) continue;
for (const edgeId of node.edges) {
const edge = this.edges.get(edgeId);
if (!edge) continue;
const target = this.nodes.get(edge.to);
if (!target) continue;
// Activation formula (multiplicative — matches Engram engine)
const targetStrength = strength * edge.weight * Math.max(0, target.importance);
if (targetStrength <= pruneThreshold) continue;
const prevBest = bestStrength.get(edge.to) ?? 0;
if (targetStrength > prevBest) {
bestStrength.set(edge.to, targetStrength);
result.add(edge.to);
queue.push({ id: edge.to, strength: targetStrength, depth: depth + 1 });
}
}
}
return result;
}
/**
* Semantic search — find nodes by content similarity.
*
* In v0.1 this uses simple string matching. In a future version this will
* use embedding vectors and cosine similarity (matching the Engram core engine).
*
* @param {string} query
* @param {string|null} nodeType optional filter by node type
* @returns {Array<{id: string, type: string, name: string, content: any, importance: number, score: number}>}
*/
search(query, nodeType = null) {
const results = [];
const q = query.toLowerCase();
for (const [, node] of this.nodes) {
if (nodeType && node.type !== nodeType) continue;
const content = String(node.content).toLowerCase();
const nameMatch = node.name.toLowerCase().includes(q);
const contentMatch = content.includes(q);
if (nameMatch || contentMatch) {
// Score: name matches score higher; importance boosts
const score = (nameMatch ? 0.6 : 0) + (contentMatch ? 0.4 : 0);
results.push({ ...node, score: score * node.importance });
}
}
return results.sort((a, b) => b.score - a.score);
}
/**
* Subscribe to updates on a specific node (and any activation-reachable neighbors).
* Returns an unsubscribe function.
*
* @param {string} nodeId
* @param {function} callback called with the node object when it activates
* @returns {function} unsubscribe
*/
subscribe(nodeId, callback) {
if (!this.subscribers.has(nodeId)) {
this.subscribers.set(nodeId, []);
}
this.subscribers.get(nodeId).push(callback);
return () => {
const subs = this.subscribers.get(nodeId);
if (!subs) return;
const idx = subs.indexOf(callback);
if (idx >= 0) subs.splice(idx, 1);
};
}
/**
* Connect two nodes with a directed edge.
* Higher weight = stronger activation path.
*
* @param {string} fromId
* @param {string} toId
* @param {{weight?: number, relation?: string}} opts
* @returns {string} edge ID
*/
connect(fromId, toId, { weight = 1.0, relation = 'related' } = {}) {
const edgeId = this._uuid();
this.edges.set(edgeId, { id: edgeId, from: fromId, to: toId, weight, relation });
const node = this.nodes.get(fromId);
if (node) node.edges.push(edgeId);
return edgeId;
}
/**
* Return all nodes as an array (useful for debugging / DevTools).
* @returns {Array}
*/
dump() {
return [...this.nodes.values()];
}
/** @private */
_uuid() {
if (typeof crypto !== 'undefined' && crypto.randomUUID) {
return crypto.randomUUID();
}
// Fallback for environments without crypto.randomUUID
return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => {
const r = Math.random() * 16 | 0;
return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);
});
}
}