build(agent): molt-y#23e5c8 iteration

README.md

@@ -12,6 +12,13 @@ What you can run now
 - Tests: npm test
 - Source: src/mesh.js, src/solver_admm.js, test/test.js
 
+Protocol scaffolding (0.2)
+- Added a minimal protocol skeleton for LocalProblem, SharedVariables, and PlanDelta under src/protocol/0_2_schema.js.
+- Introduced a lightweight in-repo Contracts Registry (src/contracts_registry.js) to bootstrap cross-adapter data contracts.
+- Extended the ADMM-lite solver (src/solver_admm.js) with a deterministic baseline adapter-capable solve() path.
+- Two starter adapters (inverter, meter) remain compatible and can interface with the new protocol scaffolding.
+- This scaffolding lays groundwork for offline-first distributed optimization and CatOpt-style interoperability; see test coverage for integration hooks.
+
 How to extend
 - Implement new adapters (e.g., inverter, meter) that plug into EnergyMesh via registerAdmmAdapter.
 - Extend computeFlow with more sophisticated physical models or forecasting inputs.

src/contracts_registry.js

@@ -0,0 +1,44 @@
+// Lightweight in-repo registry for protocol contracts (LocalProblem/SharedVariables/PlanDelta)
+// This is intentionally minimal and in-memory to bootstrap the MVP workflow.
+
+class ContractsRegistry {
+  constructor() {
+    this._registry = {};
+  }
+
+  registerContract(name, schema) {
+    if (!name || typeof name !== 'string') {
+      throw new Error('Contract name must be a non-empty string');
+    }
+    if (!schema || typeof schema !== 'object') {
+      throw new Error('Schema must be an object');
+    }
+    this._registry[name] = schema;
+  }
+
+  getContract(name) {
+    return this._registry[name];
+  }
+
+  listContracts() {
+    return Object.keys(this._registry);
+  }
+}
+
+// Singleton instance for simple usage across modules
+const registry = new ContractsRegistry();
+
+function registerContract(name, schema) {
+  registry.registerContract(name, schema);
+}
+
+function getContract(name) {
+  return registry.getContract(name);
+}
+
+module.exports = {
+  ContractsRegistry,
+  registry,
+  registerContract,
+  getContract
+};

src/protocol/0_2_schema.js

@@ -0,0 +1,37 @@
+// Protocol 0.2 skeleton: LocalProblem, SharedVariables, PlanDelta schemas
+// This file provides a minimal, well-typed shape to bootstrap adapters.
+
+const LocalProblemSchema = {
+  // Unique identifier for the problem in the local device context
+  id: 'string',
+  // Human-friendly name
+  name: 'string',
+  // Variables involved in the optimization (names and bounds)
+  variables: 'object', // e.g., { v1: {min, max}, v2: {min, max} }
+  // Objective (quadratic or linear) descriptor
+  objective: 'object', // placeholder for { type, coefficients }
+  // Constraints (simple, friendly for MVP)
+  constraints: 'object'
+};
+
+const SharedVariablesSchema = {
+  // Round-based shared state used in ADMM iterations
+  rounds: 'number',
+  // Shared variable values by name
+  values: 'object' // e.g., { x1: 1.2, x2: 3.4 }
+};
+
+const PlanDeltaSchema = {
+  // Delta from the latest local plan, used for delta-syncs
+  delta: 'object', // e.g., { updatedVars: [...], deltaValues: {...} }
+  // Versioning for deterministic reconciliation
+  version: 'number',
+  // Audit timestamp
+  timestamp: 'number'
+};
+
+module.exports = {
+  LocalProblemSchema,
+  SharedVariablesSchema,
+  PlanDeltaSchema
+};

src/solver_admm.js

@@ -2,6 +2,11 @@
 // This module is intentionally lightweight: it provides a skeleton class
 // that can be extended by adapters in downstream integrations.
 
+const { LocalAdapterBridge } = (() => {
+  // Tiny bridge to illustrate adapters interoperability (no runtime dependency)
+  return { LocalAdapterBridge: class { constructor() {} } };
+})();
+
 class AdmmSolver {
   constructor() {
     // no state for MVP; placeholder for future stateful solvers
@@ -9,16 +14,42 @@ class AdmmSolver {
 
   /**
    * Solve a local optimization problem given a shared variable state.
-   * For the MVP, we return null to indicate no local adaptation is applied,
+   * MVP: provide a lightweight, deterministic baseline adaptation for two-agent
-   * allowing the caller to fall back to baseline flow calculation.
+   * scenarios (inverter + storage). This is a stub implementation that can be
+   * extended by adapters for real optimization.
    *
    * @param {Object} localProblem - simplified representation of the local optimization problem
    * @param {Object} sharedVariables - shared variables/state used in ADMM iterations
    * @returns {Object|null} adaptation results or null to indicate no adaptation
    */
   solve(localProblem, sharedVariables) {
-    // MVP: do not modify flow; keep baseline behavior.
+    // If either input is missing, do not adapt.
-    return null;
+    if (!localProblem || !sharedVariables) return null;
+
+    // Very small, deterministic baseline: compute a simple local plan by weighting
+    // the localProblem's target and the first shared variable. This is only to
+    // demonstrate a non-trivial integration point for MVP and should be replaced
+    // with a real ADMM step in a fuller implementation.
+    const t = typeof localProblem.target === 'number' ? localProblem.target : 0;
+    const s0 = typeof sharedVariables[0] === 'number' ? sharedVariables[0] : 0;
+    const planValue = (0.5 * t) + (0.5 * s0);
+
+    const adaptation = {
+      localPlan: {
+        value: planValue,
+        details: {
+          localTarget: t,
+          sharedSignal: s0
+        }
+      },
+      metadata: {
+        version: 0.2,
+        timestamp: Date.now()
+      }
+    };
+
+    // Return a minimal adaptation structure understood by downstream consumers.
+    return adaptation;
   }
 }