From 02b832d7c08b08b37b99e7dc729bccbadf553152 Mon Sep 17 00:00:00 2001 From: agent-a6e6ec231c5f7801 Date: Sun, 19 Apr 2026 20:10:43 +0200 Subject: [PATCH] build(agent): new-agents#a6e6ec iteration --- README.md | 62 ++++---- .../energi_bridge.py | 135 +++++++++--------- 2 files changed, 93 insertions(+), 104 deletions(-) diff --git a/README.md b/README.md index 16f0cc1..53baa30 100644 --- a/README.md +++ b/README.md @@ -1,45 +1,31 @@ -# CosmosMesh Privacy-Preserving Federated Mission Planning (MVP) +# CosmosMesh Privacy-Preserving Federated Mission Planning -CosmosMesh is a privacy-preserving, offline-first federation platform designed for distributed planning across heterogeneous space assets (rovers, drones, habitat modules, satellites). This MVP implements a canonical bridge (EnergiBridge / CatOpt-Bridge style) and an initial DSL to bootstrap interoperability, adapters, and end-to-end testing. +This repository contains a production-oriented MVP of CosmosMesh, a privacy-preserving, +offline-first federation platform for distributed mission planning across diverse +space assets (rovers, drones, habitat modules, and orbiting satellites). -Key goals of the MVP -- Map CosmosMesh primitives to a vendor-agnostic intermediate representation (IR): Objects = LocalProblems, Morphisms = SharedVariables/DualVariables, PlanDelta, PrivacyBudget, AuditLog, etc. -- Provide a simple DSL scaffold for LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog, and a PolicyBlock for safety/exposure rules. -- Supply tiny adapters and a conformance harness to kickstart multi-domain interoperability. -- Include a lightweight ADMM-like local solver for federated optimization and a delta-sync workflow for islanding scenarios. +Key concepts +- Local optimization problems (contracts) per asset with explicit data contracts and versioning. +- Federated optimization through lightweight sharing of summarized signals (primal/dual variables) and aggregated statistics. +- Global assembly of local problems into a feasible fleet plan with delta-sync and audit trails. +- Privacy-by-design: secure aggregation, optional local differential privacy, and role-based access to signals. +- Identity and security: DIDs, short-lived certificates, tamper-evident logging. +- Adapters and simulators to bootstrap cross-domain interoperability and testing. +- Open API and governance ledger for provenance and interoperability. -What you get in this MVP -- A canonical bridge module that maps CosmosMesh primitives to a vendor-agnostic intermediate representation (IR). -- A minimal DSL sketch for core primitives and signals. -- Core data models and a conformance scaffold to bootstrap adapters and a small contract registry. -- Tests that exercise a roundtrip between the IR and local representations. +This repository provides a minimal yet production-minded surface to bootstrap the +ecosystem, with a focus on small, well-scoped changes and testable interfaces. -How to use this repo -- Install and run tests: see test.sh for a complete verification workflow. +How to run tests +- Ensure dependencies are installed via the packaging metadata in pyproject.toml. - Run tests: bash test.sh -- See tests/test_catopt_bridge.py for a representative usage of the CatOpt-Bridge and the roundtrip semantics. +- Build the package: python3 -m build -Project structure -- src/cosmosmesh_privacy_preserving_federated: core models and logic (LocalProblem, SharedVariables, PlanDelta, etc.) -- src/cosmosmesh_privacy_preserving_federated/adapters: starter adapters (rover_planner, habitat_module, etc.) -- tests: unit tests for the bridge, contracts, and basic flow -- README.md: this documentation +Note: The MVP is deliberately lean. The roadmap includes a canonical EnergiBridge for +vendor-agnostic interoperability, a minimal DSL, and two starter adapters to bootstrap +cross-domain demonstrations. -Development and contribution -- This MVP is designed to be extended in small, well-scoped steps. See AGENTS.md for repository-wide conventions and testing commands. -- To extend interoperability, add adapters implementing the canonical IR and use the conformance harness to validate compatibility before onboarding. - -Roadmap (high level) -- Phase 0: protocol skeleton and 2 starter adapters with TLS transport; a lightweight ADMM-lite local solver; end-to-end delta-sync with islanding. -- Phase 1: governance ledger scaffolding; identity layer; secure aggregation defaults. -- Phase 2: cross-domain demo with a toy contract example and NovaPlan SDK bindings. -- Phase 3: hardware-in-the-loop validation and KPI dashboards. - -This repository aims to be a practical foundation for cross-domain interoperability in privacy-preserving federated planning, with a clear path toward broader ecosystem reuse. - -Enhancements and MVP refinements -- EnergiBridge-style canonical bridge: introduces a vendor-agnostic intermediate representation (IR) that maps CosmosMesh primitives to CatOpt-like primitives. Objects map to LocalProblems, Morphisms to SharedVariables/DualVariables, and PlanDelta blocks carry audit and privacy metadata. A Graph-of-Contracts (GoC) registry seeds adapter onboarding and schema versioning. -- Minimal DSL seeds and interoperability kit: core seeds for LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, and PolicyBlock with to_catopt interoperability helpers. -- MVP wiring plan: 2–3 assets to start (e.g., rover, drone, habitat module) with a simple quadratic objective and an ADMM-lite solver; delta-sync for intermittent links; governance scaffolding. -- Adapters and conformance: seed adapters and a lightweight conformance harness to validate interoperability against canonical schemas. -- Security and governance groundwork: DIDs or short-lived certs, per-message crypto-tags, and tamper-evident logging to anchor mission decisions. +For maintainers +- Follow the architecture described in AGENTS.md and keep changes small and well-documented. +- Add tests for any public surface changes. +- If new dependencies are introduced, update pyproject.toml accordingly. diff --git a/src/cosmosmesh_privacy_preserving_federated/energi_bridge.py b/src/cosmosmesh_privacy_preserving_federated/energi_bridge.py index 088f341..6c6a210 100644 --- a/src/cosmosmesh_privacy_preserving_federated/energi_bridge.py +++ b/src/cosmosmesh_privacy_preserving_federated/energi_bridge.py @@ -1,104 +1,107 @@ +"""EnergiBridge: minimal canonical bridge to IR for CosmosMesh MVP. + +This module provides a tiny, test-friendly bridge that translates a small +set of per-asset primitives into a vendor-agnostic IR inspired by the +EnergiBridge / CatOpt concepts used in the CosmosMesh MVP tests. + +The implementation is intentionally small but structured enough to serve as a +drop-in for MVP wiring and for unit tests in this repository. +""" + from __future__ import annotations from dataclasses import dataclass -from typing import Dict, Any, Optional, List - -# Reuse core CatOpt primitives for minimal compatibility in MVP -from .catopt_bridge import LocalProblem, SharedVariable, DualVariable, PlanDelta +from typing import Any, Dict, List, Optional @dataclass class LocalProblemEP: + """Per-asset local problem definition used in the EnergiBridge. + + Minimal surface compatible with tests. Mirrors the fields used by tests. + """ problem_id: str assets: List[str] - objective: str - constraints: List[str] - data_contracts: Dict[str, Any] - - def to_dict(self) -> Dict[str, Any]: - return { - "problem_id": self.problem_id, - "assets": self.assets, - "objective": self.objective, - "constraints": self.constraints, - "data_contracts": self.data_contracts, - } - - -@dataclass -class EnergiSignal: - channel: str - value: Any - version: int = 0 - - def to_dict(self) -> Dict[str, Any]: - return {"channel": self.channel, "value": self.value, "version": self.version} + objective: Any + constraints: Any + data_contracts: Optional[Dict[str, Any]] = None @dataclass class SharedVariableEP: + """Represents a shared variable payload (signal) in the IR.""" channel: str version: int payload: Dict[str, Any] - def to_dict(self) -> Dict[str, Any]: - return {"channel": self.channel, "version": self.version, "payload": self.payload} + @dataclass class DualVariableEP: + """Represents a dual variable payload in the IR.""" channel: str version: int payload: Dict[str, Any] - def to_dict(self) -> Dict[str, Any]: - return {"channel": self.channel, "version": self.version, "payload": self.payload} + @dataclass class PlanDeltaEP: delta_id: str changes: Dict[str, Any] - timestamp: float + timestamp: Optional[float] = None + def to_dict(self) -> Dict[str, Any]: - return {"delta_id": self.delta_id, "changes": self.changes, "timestamp": self.timestamp} + return { + "delta_id": self.delta_id, + "changes": self.changes, + "timestamp": self.timestamp, + } class EnergiBridge: - """Minimal EnergiBridge canonical bridge implementation. + """Translate CosmosMesh MVP primitives to a canonical IR (IR-v0.1).""" - Maps CosmosMesh primitives into a vendor-agnostic Intermediary Representation - suitable for cross-domain adapters. - """ - - def to_energi( - self, - lp: LocalProblemEP, - shared: List[SharedVariableEP], - duals: List[DualVariableEP], - deltas: Optional[List[PlanDeltaEP]] = None, - ) -> Dict[str, Any]: - data = { - "Version": "0.1", - "Objects": { - "LocalProblem": lp.to_dict(), - }, - "Morphisms": [ - {"Morphisms": {"SharedVariable": sv.to_dict()}} for sv in shared - ] + [ - {"Morphisms": {"DualVariable": dv.to_dict()}} for dv in duals - ], - } - if deltas: - data["Objects"]["PlanDeltas"] = [p.to_dict() for p in deltas] - return data - - # Backwards-compatible API expected by existing tests def to_ir( self, lp: LocalProblemEP, - shared: List[SharedVariableEP], - duals: List[DualVariableEP], - deltas: Optional[List[PlanDeltaEP]] = None, + svars: List[SharedVariableEP], + dvars: List[DualVariableEP], + deltas: List[PlanDeltaEP], ) -> Dict[str, Any]: - return self.to_energi(lp, shared, duals, deltas) + # Versioning for the IR + ir: Dict[str, Any] = { + "Version": "0.1", + "Objects": { + # Expose the local problem payload directly for tests to inspect + "LocalProblem": { + "problem_id": lp.problem_id, + "assets": lp.assets, + "objective": lp.objective, + "constraints": lp.constraints, + "data_contracts": lp.data_contracts or {}, + }, + "PlanDeltas": [p.to_dict() for p in deltas], + }, + } + # Morphisms: a list where each item carries either a SharedVariable + # or a DualVariable payload under a common key + morphisms: List[Dict[str, Any]] = [] + for sv in svars: + morphisms.append({ + "Morphisms": { + "SharedVariable": sv.payload, + "channel": sv.channel, + "version": sv.version, + } + }) + for dv in dvars: + morphisms.append({ + "Morphisms": { + "DualVariable": dv.payload, + "channel": dv.channel, + "version": dv.version, + } + }) - -__all__ = ["EnergiBridge", "EnergiSignal"] + ir["Morphisms"] = morphisms + return ir