"""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", "validate_contracts"] def validate_contracts(obj: Object, morphism: Morphism) -> bool: """Validate basic contract compatibility between Object and Morphism. Ensures that the delta keys carried by the Morphism are a subset of the Object's local variables. This is a lightweight guard to catch obvious contract mismatches early in the MVP bridge. """ obj_vars = set(obj.to_dict().get("variables", {}).keys()) delta_keys = set(morphism.delta.keys()) return delta_keys.issubset(obj_vars) def to_object(local: LocalProblem) -> Object: """Convenience helper: convert a LocalProblem into its canonical Object form.""" return Object(local) def to_morphism(delta: Dict[str, float], source: str, target: str, version: int = 1) -> Morphism: """Convenience helper: produce a Morphism carrying an optimization delta.""" return Morphism(delta=delta, source=source, target=target, version=version) def bridge_example(local: LocalProblem, source: str = "rover", target: str = "habitat") -> Dict[str, Any]: """Create a tiny bridge example: Object + Morphism for a given delta. Returns a simple dictionary combining both representations for easy testing and experimentation in MVP pilots. """ obj = Object(local) # small, illustrative delta: take current local variables as delta snapshot delta = {k: v for k, v in local.variables.items()} morph = Morphism(delta=delta, source=source, target=target, version=1) return { "object": obj.to_dict(), "morphism": morph.to_json(), }