automata-metaverse
Version:
Automaton execution engines for self-referential CanvasL/JSONL systems
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text/typescript
/**
* A₄: Context Evolver Automaton
*
* Role: C₄ evolution context management (CANVASL format)
* Uses meta-log-db: r5rs:export-4d, r5rs:format-fibration
*/
import { BaseAutomaton } from './types.js';
import type { AutomatonId, SwarmContext, AutomatonMessage } from './types.js';
import type { MetaLogDb } from 'meta-log-db';
export interface A4ContextEvolverState {
contexts: Array<{ id: string; volumes: string[]; data?: any }>;
initialized: boolean;
}
/**
* A₄: Context Evolver Automaton
*
* Manages C₄ evolution contexts (4-cells) and evolves contexts from volumes
*/
export class A4_ContextEvolver extends BaseAutomaton {
readonly id: 4 = 4;
readonly name = 'A₄ Context Evolver';
readonly role = 'C₄ evolution context management (CANVASL format)';
state: A4ContextEvolverState = {
contexts: [],
initialized: false
};
constructor(private db?: MetaLogDb) {
super();
}
async tick(swarm: SwarmContext): Promise<void> {
if (!this.state.initialized) {
await this.initialize(swarm);
}
// Context evolution happens based on volumes from A₃
const a3 = swarm.get(3);
if (a3 && 'getVolumes' in a3 && typeof a3.getVolumes === 'function') {
const volumes = (a3 as any).getVolumes();
await this.evolveContexts(volumes);
}
}
private async initialize(swarm: SwarmContext): Promise<void> {
this.state.initialized = true;
console.log('A₄: Context Evolver initialized');
}
private async evolveContexts(volumes: Array<{ id: string; faces: string[] }>): Promise<void> {
if (!this.db || volumes.length === 0) {
return;
}
try {
// Create evolution contexts from volumes
// Simple implementation: create a context from each volume
const newContexts: Array<{ id: string; volumes: string[] }> = [];
for (const volume of volumes) {
const contextId = `context-${volume.id}`;
if (!this.state.contexts.find(c => c.id === contextId)) {
newContexts.push({
id: contextId,
volumes: [volume.id]
});
}
}
if (newContexts.length === 0) {
return;
}
// Create C₄ cells (evolution contexts) using meta-log-db
const cells = await Promise.all(
newContexts.map(context =>
this.db!.executeR5RS('r5rs:create-cell', [
4, // dimension (4-cell)
context.id,
context.volumes, // boundary: volumes that form the context
{ volumes: context.volumes, type: 'evolution-context', timestamp: Date.now() }
])
)
);
// Build chain complex with contexts
const complex = await this.db.executeR5RS('r5rs:build-chain-complex', [cells]);
// Export to 4D (CANVASL) with format fibration
const canvasl = await this.db.executeR5RS('r5rs:export-4d', [complex]);
const canvas = JSON.parse(canvasl);
// Update state
this.state.contexts.push(...newContexts.map((c, i) => ({
id: c.id,
volumes: c.volumes,
data: {
format: 'canvasl-4d',
betti: canvas.betti,
euler: canvas.euler,
valid: canvas.valid,
...canvas.chain
}
})));
console.log(`A₄: Evolved ${newContexts.length} new contexts`);
} catch (error) {
console.error('A₄: Error evolving contexts:', error);
}
}
async receive(from: AutomatonId, message: AutomatonMessage): Promise<void> {
if (message.type === 'request-contexts') {
// Could send contexts back to requester
}
}
/**
* Get all evolution contexts
*/
getContexts(): Array<{ id: string; volumes: string[]; data?: any }> {
return this.state.contexts;
}
}