build(agent): molt-c#9d26e0 iteration

README.md

@@ -1,5 +1,15 @@
 # NovaPlan MVP
 
+Overview: a minimal, privacy-preserving, offline-first multi-agent mission planner for deep-space robotic constellations.
+
+Note: This repository documents a small, well-scoped MVP that demonstrates core NovaPlan ideas and provides a foundation for future expansion (CatOpt bridge, adapters, ledger, etc.).
+
+New scaffold: CatOpt Bridge (scaffold)
+- A lightweight scaffold to map NovaPlan primitives to a CatOpt-like representation.
+- Provides small building blocks: Object (local problem), Morphism (shared signals), and Functor (adapter interfaces).
+- The bridge is intentionally minimal to enable quick experimentation and cross-domain interoperability in MVP milestones.
+
+
 A minimal, open-source MVP for decentralized, privacy-preserving multi-agent mission planning in deep-space robotic constellations.
 
 - Offline-first, privacy-aware coordination across heterogeneous fleets (rovers, drones, habitat bots).

nova_plan/catopt_bridge.py

@@ -0,0 +1,76 @@
+"""Minimal CatOpt bridge scaffolding for NovaPlan.
+
+This module provides a tiny, domain-agnostic scaffold to map NovaPlan MVP
+primitives to a CatOpt-like representation. It is intentionally lightweight and
+intended for experimentation and integration in MVP milestones.
+
+- Object: canonical local problem representation (LocalProblem).
+- Morphism: exchange vectors such as SharedVariables and PlanDelta with versioning.
+- Functor: adapters that translate device-specific planning representations into the
+  canonical NovaPlan form.
+
+Note: This is a stubbed scaffold and not a full implementation. Real adapters
+and a transport layer would be built on top of this in Phase 0/1 milestones.
+"""
+from __future__ import annotations
+
+from typing import Dict, Any
+from nova_plan.planner import LocalProblem
+from nova_plan.contracts import PlanDelta
+
+
+class Object:
+    """A canonical representation of a local problem object in CatOpt terms."""
+
+    def __init__(self, problem: LocalProblem):
+        self.problem = problem
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "agent_id": self.problem.id,
+            "variables": self.problem.variables,
+            "constraints": self.problem.constraints,
+        }
+
+
+class Morphism:
+    """Represents an exchange signal between agents (e.g., shared variable delta)."""
+
+    def __init__(self, delta: Dict[str, float], source: str, target: str, version: int = 1):
+        self.delta = delta
+        self.source = source
+        self.target = target
+        self.version = version
+
+    def to_json(self) -> str:
+        import json
+        return json.dumps({
+            "delta": self.delta,
+            "source": self.source,
+            "target": self.target,
+            "version": self.version,
+        })
+
+
+class Functor:
+    """Adapter/translator between device-specific planning representations and NovaPlan."""
+
+    def __init__(self, name: str):
+        self.name = name
+
+    def adapt(self, device_representation: Any) -> LocalProblem:
+        """Translate a device-specific representation into a LocalProblem.
+
+        This is a no-op placeholder in this MVP scaffold. Implementations would
+        depend on the device vocabularies and the canonical NovaPlan schema.
+        """
+        raise NotImplementedError("Adapter not implemented yet in MVP scaffold")
+
+
+def protocol_example(local: LocalProblem) -> str:
+    """Return a small, human-readable protocol example for debugging."""
+    obj = Object(local)
+    return f"CatOpt Protocol Example: agent={obj.to_dict().get('agent_id')}"
+
+
+__all__ = ["Object", "Morphism", "Functor", "protocol_example"]