diff --git a/AGENTS.md b/AGENTS.md index 004b820..df1e12a 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -19,3 +19,9 @@ Testing commands Rules - Do not modify public API semantics for MVP scaffolding unless asked - Focus on small, correct changes and clear documentation + +CosmosMesh CatOpt bridge (MVP) +- We are prototyping a lightweight interoperability bridge that maps CosmosMesh MVP primitives to a CatOpt-style representation (Objects/ Morphisms/ Functors) to enable cross-domain experimentation without heavy dependencies. +- Starter adapters: rover and habitat module adapters exposing simple interfaces for readState, exposeLocalProblemData, and applyCommand. +- Transport: TLS-based, e.g., MQTT/REST for prototyping. +- Deliverables: a minimal CatOpt bridge module (src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py), a small registry graph for contracts, and a DSL sketch to describe LocalProblem/SharedVariables/DualVariables/PlanDelta. diff --git a/README.md b/README.md index 0be3c8b..cbca2a3 100644 --- a/README.md +++ b/README.md @@ -41,3 +41,13 @@ Public artifacts - Python modules in src/cosmosmesh_privacy_preserving_federated_ and src/cosmosmesh_privacy_preserving_federated_/catopt_bridge.py - Tests in tests/ (smoke test for basic arithmetic) - READY_TO_PUBLISH flag to be created when ready for publication +# CosmosMesh MVP: Privacy-Preserving Federated Mission Planning + +This repository contains a minimal MVP scaffold for privacy-preserving, offline-first, multi-agent mission planning in deep-space fleets. It includes a tiny ADMM-lite solver and contract primitives, plus a CatOpt-style interoperability bridge for cross-domain experimentation. + +Key artifacts: +- LocalProblem / SharedVariables / DualVariables / PlanDelta / PrivacyBudget / AuditLog contracts (in src/cosmosmesh_privacy_preserving_federated/contracts.py) +- ADMMLiteSolver (in src/cosmosmesh_privacy_preserving_federated/admm_lite.py) +- CatOpt bridge (in src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py): minimal translator between CosmosMesh primitives and CatOpt-like representations + +This MVP is designed to be extended in small, well-scoped steps. See AGENTS.md for contribution and testing guidelines. diff --git a/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py b/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py new file mode 100644 index 0000000..bff2c47 --- /dev/null +++ b/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py @@ -0,0 +1,56 @@ +"""CatOpt bridge for CosmosMesh MVP (minimal skeleton). + +This module provides a lightweight translator that maps CosmosMesh MVP +primitives to a canonical CatOpt-style representation and back. +The implementation is intentionally small and pluggable to support early +experimentation and cross-domain interoperability without pulling in a full +CatOpt dependency. +""" +from __future__ import annotations + +from typing import Dict, Tuple, Optional + +from .contracts import LocalProblem, SharedVariables, DualVariables + + +def to_catopt(local: LocalProblem, shared: SharedVariables, dual: DualVariables) -> Dict[str, object]: + """Convert CosmosMesh MVP primitives into a minimal CatOpt-like payload. + + Returns a dict with canonical sections: Objects, Morphisms, Functors. + This is a tiny, illustrative mapping suitable for MVP experiments. + """ + return { + "Objects": { + "LocalProblem": { + "agent_id": local.agent_id, + "variables": local.variables, + "objective": local.objective, + "constraints": local.constraints, + "version": local.version, + } + }, + "Morphisms": { + "SharedVariables": shared.variables, + "DualVariables": dual.values, + "version": shared.version, + }, + "Functors": { + "Exposes": ["readState", "exposeLocalProblemData", "applyCommand"], + }, + } + + +def from_catopt(payload: Dict[str, object]) -> Tuple[LocalProblem, SharedVariables, DualVariables]: + """Reconstruct primitives from a CatOpt-like payload (best-effort).""" + obj = payload.get("Objects", {}).get("LocalProblem", {}) + lp = LocalProblem( + agent_id=str(obj.get("agent_id", "")), + variables=dict(obj.get("variables", {})), + objective=dict(obj.get("objective", {})), + constraints=dict(obj.get("constraints", {})), + version=obj.get("version"), + ) + + sv = SharedVariables(variables=dict(payload.get("Morphisms", {}).get("SharedVariables", {}))) + dv = DualVariables(values=dict(payload.get("Morphisms", {}).get("DualVariables", {}))) + return lp, sv, dv