build(agent): molt-y#23e5c8 iteration
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@ -12,6 +12,13 @@ What you can run now
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- Tests: npm test
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- Source: src/mesh.js, src/solver_admm.js, test/test.js
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Protocol scaffolding (0.2)
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- Added a minimal protocol skeleton for LocalProblem, SharedVariables, and PlanDelta under src/protocol/0_2_schema.js.
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- Introduced a lightweight in-repo Contracts Registry (src/contracts_registry.js) to bootstrap cross-adapter data contracts.
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- Extended the ADMM-lite solver (src/solver_admm.js) with a deterministic baseline adapter-capable solve() path.
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- Two starter adapters (inverter, meter) remain compatible and can interface with the new protocol scaffolding.
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- This scaffolding lays groundwork for offline-first distributed optimization and CatOpt-style interoperability; see test coverage for integration hooks.
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How to extend
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- Implement new adapters (e.g., inverter, meter) that plug into EnergyMesh via registerAdmmAdapter.
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- Extend computeFlow with more sophisticated physical models or forecasting inputs.
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@ -0,0 +1,44 @@
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// Lightweight in-repo registry for protocol contracts (LocalProblem/SharedVariables/PlanDelta)
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// This is intentionally minimal and in-memory to bootstrap the MVP workflow.
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class ContractsRegistry {
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constructor() {
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this._registry = {};
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}
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registerContract(name, schema) {
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if (!name || typeof name !== 'string') {
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throw new Error('Contract name must be a non-empty string');
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}
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if (!schema || typeof schema !== 'object') {
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throw new Error('Schema must be an object');
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}
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this._registry[name] = schema;
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}
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getContract(name) {
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return this._registry[name];
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}
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listContracts() {
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return Object.keys(this._registry);
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}
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}
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// Singleton instance for simple usage across modules
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const registry = new ContractsRegistry();
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function registerContract(name, schema) {
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registry.registerContract(name, schema);
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}
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function getContract(name) {
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return registry.getContract(name);
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}
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module.exports = {
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ContractsRegistry,
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registry,
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registerContract,
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getContract
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};
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@ -0,0 +1,37 @@
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// Protocol 0.2 skeleton: LocalProblem, SharedVariables, PlanDelta schemas
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// This file provides a minimal, well-typed shape to bootstrap adapters.
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const LocalProblemSchema = {
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// Unique identifier for the problem in the local device context
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id: 'string',
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// Human-friendly name
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name: 'string',
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// Variables involved in the optimization (names and bounds)
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variables: 'object', // e.g., { v1: {min, max}, v2: {min, max} }
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// Objective (quadratic or linear) descriptor
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objective: 'object', // placeholder for { type, coefficients }
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// Constraints (simple, friendly for MVP)
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constraints: 'object'
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};
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const SharedVariablesSchema = {
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// Round-based shared state used in ADMM iterations
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rounds: 'number',
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// Shared variable values by name
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values: 'object' // e.g., { x1: 1.2, x2: 3.4 }
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};
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const PlanDeltaSchema = {
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// Delta from the latest local plan, used for delta-syncs
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delta: 'object', // e.g., { updatedVars: [...], deltaValues: {...} }
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// Versioning for deterministic reconciliation
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version: 'number',
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// Audit timestamp
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timestamp: 'number'
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};
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module.exports = {
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LocalProblemSchema,
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SharedVariablesSchema,
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PlanDeltaSchema
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};
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@ -2,6 +2,11 @@
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// This module is intentionally lightweight: it provides a skeleton class
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// that can be extended by adapters in downstream integrations.
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const { LocalAdapterBridge } = (() => {
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// Tiny bridge to illustrate adapters interoperability (no runtime dependency)
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return { LocalAdapterBridge: class { constructor() {} } };
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})();
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class AdmmSolver {
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constructor() {
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// no state for MVP; placeholder for future stateful solvers
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@ -9,16 +14,42 @@ class AdmmSolver {
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/**
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* Solve a local optimization problem given a shared variable state.
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* For the MVP, we return null to indicate no local adaptation is applied,
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* allowing the caller to fall back to baseline flow calculation.
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* MVP: provide a lightweight, deterministic baseline adaptation for two-agent
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* scenarios (inverter + storage). This is a stub implementation that can be
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* extended by adapters for real optimization.
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*
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* @param {Object} localProblem - simplified representation of the local optimization problem
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* @param {Object} sharedVariables - shared variables/state used in ADMM iterations
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* @returns {Object|null} adaptation results or null to indicate no adaptation
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*/
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solve(localProblem, sharedVariables) {
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// MVP: do not modify flow; keep baseline behavior.
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return null;
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// If either input is missing, do not adapt.
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if (!localProblem || !sharedVariables) return null;
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// Very small, deterministic baseline: compute a simple local plan by weighting
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// the localProblem's target and the first shared variable. This is only to
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// demonstrate a non-trivial integration point for MVP and should be replaced
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// with a real ADMM step in a fuller implementation.
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const t = typeof localProblem.target === 'number' ? localProblem.target : 0;
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const s0 = typeof sharedVariables[0] === 'number' ? sharedVariables[0] : 0;
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const planValue = (0.5 * t) + (0.5 * s0);
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const adaptation = {
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localPlan: {
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value: planValue,
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details: {
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localTarget: t,
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sharedSignal: s0
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}
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},
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metadata: {
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version: 0.2,
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timestamp: Date.now()
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}
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};
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// Return a minimal adaptation structure understood by downstream consumers.
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return adaptation;
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}
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}
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