From 25eb76028b77b1fcc107d0a46b7b219b65e7c04b Mon Sep 17 00:00:00 2001 From: agent-ed374b2a16b664d2 Date: Wed, 15 Apr 2026 20:20:16 +0200 Subject: [PATCH] build(agent): molt-x#ed374b iteration --- README.md | 83 +++------ .../__init__.py | 23 +-- .../catopt_bridge.py | 169 ++++++++++-------- tests/test_catopt_bridge.py | 44 +++-- 4 files changed, 147 insertions(+), 172 deletions(-) diff --git a/README.md b/README.md index 45cc469..2a4d8b0 100644 --- a/README.md +++ b/README.md @@ -1,65 +1,32 @@ -CosmosMesh MVP -============= +# CosmosMesh Privacy-Preserving Federated Mission Planning (CatOpt MVP) -CosmosMesh is a privacy-preserving federated mission-planning scaffold designed for deep-space constellations. It targets offline-first operation with intermittent connectivity, enabling heterogeneous assets (rovers, aerial drones, habitat modules, orbiting satellites) to coordinate planning and resource usage without centralization. +This repository holds an MVP scaffold for privacy-preserving federated mission planning across heterogeneous deep-space assets (rovers, drones, habitat modules, orbiting satellites). -Core ideas -- Local optimization problems (variables, objectives, constraints) with explicit data contracts and versioning. -- Federated optimization core: an ADMM-lite solver that exchanges only summarized signals to preserve locality. -- Lightweight global assembly: fleet-wide constraints (energy, time windows, safety) applied without re-deriving the entire global model. -- Delta-sync and offline resilience: deterministic reconciliation on reconnects with audit trails. -- Privacy-by-design: secure aggregation by default, optional local DP budgets, and role-based access controls. -- Identity & security: DID-based identities, short-lived certificates, and tamper-evident logging. -- Adapters & simulation: reference adapters for rover/habitat/space assets, plus a scenario simulator for offline validation. -- Open API and governance: schema registry for data contracts and a governance ledger to anchor decisions. +Key idea +- Map CosmosMesh primitives to a lightweight CatOpt-style representation to enable plug-and-play adapters and cross-domain experimentation without heavy dependencies. -MVP plan (8–12 weeks) -- Implement a 2–3 asset testbed (rover, drone, habitat) with a simple quadratic objective and an ADMM-lite solver. -- Define data contracts: Telemetry, Forecast, Command, Event, and Trade-like signals with versioned schemas. -- Delta-sync protocol: deterministic reconciliation for intermittent links with per-message metadata and audit logs. -- Identity & security baseline: DIDs or short-lived certs, secure aggregation by default. -- Adapters and simulation: two starter adapters and a space-scenario simulator to evaluate convergence and resilience. -- Global constraints layer: light fleet-wide constraints that bind local problems during aggregation. -- MVP milestones: Phase 0 protocol/specs + 2 adapters; Phase 1 offline validation; Phase 2 cross-domain demo; Phase 3 HIL. -- Metrics: convergence speed, plan-optimality gap, delta-sync latency, and privacy budgets. +Core MVP outline +- Objects = LocalProblems (per-asset planning tasks) +- Morphisms = SharedVariables / DualVariables (data channels with versioned contracts) +- Functors = Adapters translating device-specific models into canonical CosmosMesh problems +- Lightweight transport (TLS-based) and a tiny ADMM-lite solver per asset +- Graph-of-Contracts registry for schemas and per-message metadata to support audits and replay protection -Getting started -- Build: python3 -m build -- Test: ./test.sh -- Explore: src/cosmosmesh_privacy_preserving_federated_/ and src/cosmosmesh_privacy_preserving_federated_/catopt_bridge.py for the MVP scaffolding and the CatOpt bridge (lightweight interoperability layer). +What’s included in this patch +- Added a minimal CatOpt bridge module: src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py +- Package initializer: src/cosmosmesh_privacy_preserving_federated/__init__.py +- Lightweight unit test: tests/test_catopt_bridge.py +- Simple usage example via a RoundTrip encoding path +- Basic README describing MVP approach and how to extend -- Publishing readiness -- If you want to signal readiness for public publishing, create an empty file named READY_TO_PUBLISH in the repo root. The publish workflow will detect this file as a sign that the repo is prepared for packaging and release. This repository's pyproject.toml already hooks the README into the package metadata, so the marketing description will accompany the published artifact. -- Notes -- This repo focuses on a safe, minimal surface suitable for rapid iteration. Extend with adapters for rovers, habitats, and orbital assets, plus a delta-sync protocol and a light global-assembly layer in follow-on work. +How to run tests +- Ensure Python 3.8+ environment +- Run: bash test.sh +- The test suite includes a basic sanity check for the CatOpt bridge encoding. -Changelog-style summary -- Added CatOptBridge (lightweight CosmosMesh -> CatOpt representation) in the MVP scaffold. -- Exposed CatOptBridge via the MVP package API for quick experimentation. -- Expanded README to reflect MVP architecture, extension paths, and evaluation plan. +Next steps (high level) +- Wire two starter adapters (rover planner and habitat life-support) into the bridge +- Implement a small ADMM-lite solver per asset and a toy end-to-end round trip +- Add delta-sync protocol scaffolding and an auditable reconciliation log -Public artifacts -- README.md (detailed MVP plan and extension guidelines) -- 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 - -CatOpt MVP Bridge (Overview) -- The MVP includes a lightweight CatOpt bridge that maps CosmosMesh primitives to a CatOpt-like representation (Objects/Morphisms/Functors). -- Core components: - - src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py: translator skeleton for LocalProblem, SharedVariables, DualVariables, PlanDelta - - src/cosmosmesh_privacy_preserving_federated/dsl_sketch.py: lightweight DSL scaffolding for MVP primitives - - src/cosmosmesh_privacy_preserving_federated/contract_registry.py: minimal contract registry -- Reference adapters (toy scaffolds) added under src/cosmosmesh_privacy_preserving_federated_/reference_adapter.py to illustrate how rover and habitat domain adapters would interface with the bridge -- A tiny Graph-of-Contracts registry supports versioning for LocalProblem/SharedVariables/DualVariables/PlanDelta contracts -- Next steps (optional): TLS transport adapters, secure aggregation, and governance ledger integration -# 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. +This work aligns with the roadmap described in AGENTS.md and is designed to be extended incrementally. diff --git a/src/cosmosmesh_privacy_preserving_federated/__init__.py b/src/cosmosmesh_privacy_preserving_federated/__init__.py index 39f316f..1257f99 100644 --- a/src/cosmosmesh_privacy_preserving_federated/__init__.py +++ b/src/cosmosmesh_privacy_preserving_federated/__init__.py @@ -1,22 +1,5 @@ -"""CosmosMesh MVP packages +"""CosmosMesh privacy-preserving federated MVP package initializer.""" -Lightweight scaffolding for a CatOpt-style bridge and two starter adapters -to bootstrap CosmosMesh privacy-preserving federated mission planning. -""" +from .catopt_bridge import CatOptBridge, LocalProblem, SharedVariable, DualVariable -from .catopt_bridge import ( - LocalProblem, - SharedVariables, - DualVariables, - PlanDelta, - CatOptBridge, -) - - -__all__ = [ - "LocalProblem", - "SharedVariables", - "DualVariables", - "PlanDelta", - "CatOptBridge", -] +__all__ = ["CatOptBridge", "LocalProblem", "SharedVariable", "DualVariable"] diff --git a/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py b/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py index 79ca856..ba8b423 100644 --- a/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py +++ b/src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py @@ -1,104 +1,119 @@ -from __future__ import annotations +""" +Minimal CatOpt bridge for CosmosMesh MVP. -from dataclasses import dataclass, asdict -from typing import Any, Dict, List, Optional +This module provides a tiny, self-contained mapping layer between +CosmosMesh primitives and a canonical CatOpt-inspired representation. +It is intentionally lightweight and safe to extend in subsequent MVP +iterations. +""" + +from __future__ import annotations +from dataclasses import dataclass, field +from typing import Any, Dict, List +import time @dataclass class LocalProblem: - id: str + """Represents an asset-local optimization problem.""" + + problem_id: str objective: str - variables: Dict[str, Any] - constraints: List[str] + variables: List[str] + constraints: List[str] = field(default_factory=list) version: int = 1 + def to_object(self) -> Dict[str, Any]: + return { + "ObjectType": "LocalProblem", + "id": self.problem_id, + "version": self.version, + "objective": self.objective, + "variables": self.variables, + "constraints": self.constraints, + } + @dataclass -class SharedVariables: +class SharedVariable: + """Represents a data channel (primal variable sharing).""" + name: str value: Any - timestamp: float + version: int = 1 + + def to_morphism(self) -> Dict[str, Any]: + return { + "MorphismType": "SharedVariable", + "name": self.name, + "version": self.version, + "value": self.value, + } @dataclass -class DualVariables: +class DualVariable: + """Represents the dual variable channel (Lagrange multipliers).""" + name: str - value: Any + value: float + version: int = 1 - -@dataclass -class PlanDelta: - delta_id: str - changes: Dict[str, Any] - timestamp: float - - -class GraphOfContracts: - """Simple in-memory registry for contract schemas and versions.""" - - def __init__(self) -> None: - self._contracts: Dict[str, Dict[str, Any]] = {} - - def register(self, name: str, version: str, schema: Optional[Dict[str, Any]] = None) -> None: - self._contracts[name] = {"version": version, "schema": schema or {}} - - def get(self, name: str) -> Optional[Dict[str, Any]]: - return self._contracts.get(name) - - def all(self) -> Dict[str, Dict[str, Any]]: - return self._contracts + def to_morphism(self) -> Dict[str, Any]: + return { + "MorphismType": "DualVariable", + "name": self.name, + "version": self.version, + "value": self.value, + } class CatOptBridge: - """Minimal CatOpt bridge that maps CosmosMesh primitives to a canonical CatOpt view. + """Lightweight bridge mapping CosmosMesh concepts to a CatOpt-like layer.""" - This is intentionally lightweight and serves as a scaffold for MVP wiring. - """ + # Registry of contracts/schema versions for adapters + _contract_registry: Dict[str, Dict[str, Any]] = {} - def __init__(self) -> None: - self._registry = GraphOfContracts() - - # Contract registry helpers - def register_contract(self, name: str, version: str, schema: Optional[Dict[str, Any]] = None) -> None: - self._registry.register(name, version, schema) - - def get_contract(self, name: str) -> Optional[Dict[str, Any]]: - return self._registry.get(name) - - def all_contracts(self) -> Dict[str, Dict[str, Any]]: - return self._registry.all() - - # Translation primitives (annotation-friendly, minimal) - def to_catopt(self, lp: LocalProblem, sv: SharedVariables, dv: DualVariables) -> Dict[str, Any]: - """Translate CosmosMesh primitives into a minimal CatOpt-like representation.""" - catopt = { - "Objects": { - "LocalProblem": asdict(lp), - }, - "Morphisms": { - "SharedVariables": asdict(sv), - "DualVariables": asdict(dv), - }, - "Functors": { - # Placeholder for adapter bindings (empty by default) - }, + @classmethod + def register_contract(cls, contract_name: str, contract_spec: Dict[str, Any]) -> None: + cls._contract_registry[contract_name] = { + "spec": contract_spec, + "registered_at": int(time.time()), } - return catopt - def from_catopt(self, catopt: Dict[str, Any]) -> Dict[str, Any]: - """Minimal reverse-translation from CatOpt-like representation to a dictionary. + @classmethod + def get_contract(cls, contract_name: str) -> Dict[str, Any] | None: + return cls._contract_registry.get(contract_name) - This is intentionally permissive for MVP; it merely returns the input structure - in a normalized dict form for downstream processing. - """ - return dict(catopt) + @staticmethod + def problem_to_object(problem: LocalProblem) -> Dict[str, Any]: + return problem.to_object() + + @staticmethod + def variables_to_morphisms(shared: List[SharedVariable], duals: List[DualVariable]) -> List[Dict[str, Any]]: + morphisms: List[Dict[str, Any]] = [] + morphisms.extend([s.to_morphism() for s in shared]) + morphisms.extend([d.to_morphism() for d in duals]) + return morphisms + + @staticmethod + def encode_message(kind: str, payload: Dict[str, Any], version: int = 1) -> Dict[str, Any]: + return { + "kind": kind, + "version": version, + "timestamp": int(time.time()), + "nonce": int(time.time() * 1000) & 0xFFFFFFFF, + "payload": payload, + } + + # Convenience helpers for a minimal end-to-end round + @classmethod + def build_round_trip(cls, problem: LocalProblem, + shared: List[SharedVariable], + duals: List[DualVariable]) -> Dict[str, Any]: + obj = cls.problem_to_object(problem) + morphs = cls.variables_to_morphisms(shared, duals) + return cls.encode_message("RoundTrip", {"object": obj, "morphisms": morphs}) -__all__ = [ - "LocalProblem", - "SharedVariables", - "DualVariables", - "PlanDelta", - "GraphOfContracts", - "CatOptBridge", -] +__all__ = ["CatOptBridge", "LocalProblem", "SharedVariable", "DualVariable"] diff --git a/tests/test_catopt_bridge.py b/tests/test_catopt_bridge.py index a8f18a3..ea5b3f1 100644 --- a/tests/test_catopt_bridge.py +++ b/tests/test_catopt_bridge.py @@ -1,21 +1,31 @@ -import pytest +import math -from cosmosmesh_privacy_preserving_federated_.catopt_bridge import CatOptBridge -from cosmosmesh_privacy_preserving_federated_.contract_registry import REGISTRY +from cosmosmesh_privacy_preserving_federated.catopt_bridge import ( + CatOptBridge, + LocalProblem, + SharedVariable, + DualVariable, +) -def test_registry_and_translation(): - bridge = CatOptBridge() - # Register a simple contract and verify registry exposure - bridge.register_contract("LocalProblem", "0.1.0", {"schema": {"type": "object"}}) - assert REGISTRY.get("LocalProblem")["version"] == "0.1.0" +def test_basic_roundtrip_encoding(): + # Build a tiny LocalProblem and signals + lp = LocalProblem( + problem_id="lp-task-01", + objective="minimize_energy", + variables=["x1", "x2"], + constraints=["x1>=0", "x2>=0", "x1+x2<=10"], + version=1, + ) - # Translate a minimal local problem description - local_problem = { - "name": "TestProblem", - "variables": [{"name": "x", "domain": "R"}], - "objective": {"type": "quadratic"}, - } - translated = bridge.translate_local_problem(local_problem) - assert translated["type"] == "LocalProblem" - assert translated["name"] == "TestProblem" + sv1 = SharedVariable(name="sigma", value=0.5, version=1) + dv1 = DualVariable(name="lambda", value=1.25, version=1) + + round_msg = CatOptBridge.build_round_trip(lp, [sv1], [dv1]) + + # Basic invariants about the payload + assert round_msg["kind"] == "RoundTrip" + payload = round_msg["payload"] + assert payload["object"]["id"] == lp.problem_id + assert any(m.get("name") == sv1.name for m in payload["morphisms"]) + assert any(m.get("name") == dv1.name for m in payload["morphisms"])