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# 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 Key concepts
- Map CosmosMesh primitives to a vendor-agnostic intermediate representation (IR): Objects = LocalProblems, Morphisms = SharedVariables/DualVariables, PlanDelta, PrivacyBudget, AuditLog, etc. - Local optimization problems (contracts) per asset with explicit data contracts and versioning.
- Provide a simple DSL scaffold for LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog, and a PolicyBlock for safety/exposure rules. - Federated optimization through lightweight sharing of summarized signals (primal/dual variables) and aggregated statistics.
- Supply tiny adapters and a conformance harness to kickstart multi-domain interoperability. - Global assembly of local problems into a feasible fleet plan with delta-sync and audit trails.
- Include a lightweight ADMM-like local solver for federated optimization and a delta-sync workflow for islanding scenarios. - 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 This repository provides a minimal yet production-minded surface to bootstrap the
- A canonical bridge module that maps CosmosMesh primitives to a vendor-agnostic intermediate representation (IR). ecosystem, with a focus on small, well-scoped changes and testable interfaces.
- 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.
How to use this repo How to run tests
- Install and run tests: see test.sh for a complete verification workflow. - Ensure dependencies are installed via the packaging metadata in pyproject.toml.
- Run tests: bash test.sh - 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 Note: The MVP is deliberately lean. The roadmap includes a canonical EnergiBridge for
- src/cosmosmesh_privacy_preserving_federated: core models and logic (LocalProblem, SharedVariables, PlanDelta, etc.) vendor-agnostic interoperability, a minimal DSL, and two starter adapters to bootstrap
- src/cosmosmesh_privacy_preserving_federated/adapters: starter adapters (rover_planner, habitat_module, etc.) cross-domain demonstrations.
- tests: unit tests for the bridge, contracts, and basic flow
- README.md: this documentation
Development and contribution For maintainers
- This MVP is designed to be extended in small, well-scoped steps. See AGENTS.md for repository-wide conventions and testing commands. - Follow the architecture described in AGENTS.md and keep changes small and well-documented.
- To extend interoperability, add adapters implementing the canonical IR and use the conformance harness to validate compatibility before onboarding. - Add tests for any public surface changes.
- If new dependencies are introduced, update pyproject.toml accordingly.
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: 23 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.

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"""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 __future__ import annotations
from dataclasses import dataclass from dataclasses import dataclass
from typing import Dict, Any, Optional, List from typing import Any, Dict, List, Optional
# Reuse core CatOpt primitives for minimal compatibility in MVP
from .catopt_bridge import LocalProblem, SharedVariable, DualVariable, PlanDelta
@dataclass @dataclass
class LocalProblemEP: 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 problem_id: str
assets: List[str] assets: List[str]
objective: str objective: Any
constraints: List[str] constraints: Any
data_contracts: Dict[str, Any] data_contracts: Optional[Dict[str, Any]] = None
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}
@dataclass @dataclass
class SharedVariableEP: class SharedVariableEP:
"""Represents a shared variable payload (signal) in the IR."""
channel: str channel: str
version: int version: int
payload: Dict[str, Any] payload: Dict[str, Any]
def to_dict(self) -> Dict[str, Any]:
return {"channel": self.channel, "version": self.version, "payload": self.payload}
@dataclass @dataclass
class DualVariableEP: class DualVariableEP:
"""Represents a dual variable payload in the IR."""
channel: str channel: str
version: int version: int
payload: Dict[str, Any] payload: Dict[str, Any]
def to_dict(self) -> Dict[str, Any]:
return {"channel": self.channel, "version": self.version, "payload": self.payload}
@dataclass @dataclass
class PlanDeltaEP: class PlanDeltaEP:
delta_id: str delta_id: str
changes: Dict[str, Any] changes: Dict[str, Any]
timestamp: float timestamp: Optional[float] = None
def to_dict(self) -> Dict[str, Any]: 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: 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( def to_ir(
self, self,
lp: LocalProblemEP, lp: LocalProblemEP,
shared: List[SharedVariableEP], svars: List[SharedVariableEP],
duals: List[DualVariableEP], dvars: List[DualVariableEP],
deltas: Optional[List[PlanDeltaEP]] = None, deltas: List[PlanDeltaEP],
) -> Dict[str, Any]: ) -> 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,
}
})
ir["Morphisms"] = morphisms
__all__ = ["EnergiBridge", "EnergiSignal"] return ir