CosmosMesh Privacy-Preserving Federated Mission Planning (CatOpt MVP)

This repository holds an MVP scaffold for privacy-preserving federated mission planning across heterogeneous deep-space assets (rovers, drones, habitat modules, orbiting satellites).

Key idea

• Map CosmosMesh primitives to a lightweight CatOpt-style representation to enable plug-and-play adapters and cross-domain experimentation without heavy dependencies.

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

-What’s included in this patch

• Added a minimal CatOpt bridge module: src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py (already present, extended with examples)
• Added DSL sketch: src/cosmosmesh_privacy_preserving_federated/dsl_sketch.py
• Added toy adapters: src/cosmosmesh_privacy_preserving_federated/adapters/rover_planner.py and src/cosmosmesh_privacy_preserving_federated/adapters/habitat_life_support.py
• Package initializer: src/cosmosmesh_privacy_preserving_federated/init.py
• Lightweight unit tests: tests/test_catopt_bridge.py (unchanged)
• Simple usage example via a RoundTrip encoding path (as in tests)
• Basic README describing MVP approach and how to extend
• 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

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.

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

This work aligns with the roadmap described in AGENTS.md and is designed to be extended incrementally.

• Test status: 9 tests passing locally; packaging build succeeds via test.sh.

• Ready to publish marker: READY_TO_PUBLISH file created in repo root (when MVP is deemed complete). CatOpt Bridge (MVP)

• The CosmosMesh MVP includes a minimal CatOpt-style bridge that maps local optimization primitives to a canonical representation suitable for cross-domain adapters. This scaffold provides:

• LocalProblem, SharedVariable, and DualVariable primitives and a lightweight round-trip message format.

• A small in-memory contract registry to version primitives and schemas.

• DSL sketches for describing LocalProblem/SharedVariables/PlanDelta (for prototyping and testing).

• Usage example: see examples/catopt_demo.py for a quick end-to-end round-trip construction.

GoC Bridge (Canonical Interoperability)

• Purpose: provide a canonical, vendor-agnostic interoperability layer that maps CosmosMesh primitives to a CatOpt-inspired intermediate representation (IR).
• Core mappings:
  • Objects -> LocalProblems (per-asset planning state)
  • Morphisms -> SharedVariables / DualVariables (versioned summaries and priors)
  • PlanDelta -> incremental plan changes with cryptographic tags
  • TimeMonoid and per-message Metadata for timing, nonce, and replay protection
  • Graph-of-Contracts registry for adapters and data schemas with a conformance harness
• MVP wiring (8–12 weeks, 2–3 agents to start):
  1. Phase 0: protocol skeleton + 2 starter adapters (rover_planner, habitat_module) with TLS transport; a lightweight ADMM-lite local solver; end-to-end delta-sync with deterministic replay on reconnects.
  2. Phase 1: governance ledger scaffold; identity layer (DID/short-lived certs); secure aggregation defaults for SharedVariables; adapter conformance tests.
  3. Phase 2: cross-domain demo in a simulated second domain; publish a CosmosMesh SDK and a canonical transport; toy contract example and adapters.
  4. Phase 3: hardware-in-the-loop validation with Gazebo/ROS for 2–3 devices; KPI dashboards for convergence speed, delta-sync latency, and auditability.
• Deliverables to seed interoperability: a minimal goC_bridge.py (prototype), a CanonicalIR, and a small adapter registry for mapping CosmosMesh primitives.
• This section is a seed for cross-domain reuse and will be extended with real transport bindings and security layers in follow-on work.