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Graph-Calculus-Driven Compositional Optimization Studio for Edge Meshes
Overview
- CatOpt-Graph provides a minimal, pragmatic MVP for compositional optimization across edge meshes. It introduces a light-weight ontology (Objects, Morphisms, Functors) and a tiny ADMM-lite solver that demonstrates delta-sync/for reconnections while converging on a simple global constraint.
- CatOpt-Graph provides a minimal, pragmatic MVP for compositional optimization across edge meshes. It introduces a lightweight ontology (Objects, Morphisms, Functors) and a tiny ADMM-lite solver that demonstrates delta-sync and reconnection semantics while converging on a simple global constraint.
What you get in this MVP
- Core ontology scaffolding: Object, Morphism, Functor, and a tiny versioned contract registry.
- Core ontology scaffolding: Object, Morphism, Functor, and a tiny versioned ContractRegistry.
- ADMM-lite solver: asynchronous, two-agent solver with bounded staleness and deterministic reconciliation on reconnects.
- Adapters: rover and habitat stubs that map to a canonical representation.
- Lightweight governance/contract conformance scaffolding.
- Basic transport surface (mocked for MVP) and tests.
- Governance scaffolding: lightweight conformance checks and audit-friendly data flow.
- Transport surface: a minimal TLS/REST-like mock transport for MVP testing.
- Tests: unit tests for the ADMM-lite core and contract registry.
How to run
- This project is Python-based. See test.sh for the test runner which also builds the package to validate packaging metadata.
- After cloning, run: bash test.sh
Long-term vision (brief)
- Protocol skeleton bridging to Open-EnergyMesh/runtime, a Graph-of-Contracts registry, API bindings for adapters, and a simulated HIL environment with Gazebo/ROS.
Roadmap (MVP, 8–12 weeks)
- Phase 0: Core ontology, 2 adapters (rover, habitat), ADMM-lite core, delta-sync scaffold.
- Phase 1: Global constraints layer (Limits/Colimits) and governance ledger.
- Phase 2: Bridge to cross-domain runtimes (Open-EnergyMesh/GridVerse-like ecosystems) and a canonical transport.
- Phase 3: HIL validation with Gazebo/ROS and minimal cross-domain demos.
This README is a marketing and onboarding document for the MVP. The code is intentionally minimal but designed to be incrementally extended towards a working cross-domain orchestration platform.
Architecture snapshot
- Core: Objects, Morphisms, Functors, Limits/Colimits skeleton, and a versioned ContractRegistry.
- ADMM-lite: two-agent solver with delta-sync and deterministic reconciliation on reconnects.
- Adapters: rover and habitat stubs exposing a minimal interface readState, exposeLocalProblemData, applyCommand.
- Bridge: mapping between domain LocalProblem data and a canonical CatOpt representation.
- Governance: auditing and contract conformance scaffolds.
- Transport: mock TLS/REST-like surface for MVP integration.
- Tests: unit tests for core components and end-to-end tests for the ADMM-lite flow.
Package metadata
- The Python package name is catopt-graph-graph_calculus_driven_compo per the repository requirements.
- See pyproject.toml for build configuration and packaging details.
Extending the MVP
- Add new adapters and register them in the ContractRegistry.
- Enhance the bridge with richer to_canonical/from_canonical mappings for domain data.
- Introduce additional data contracts (SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog).
- Add a lightweight HIL simulation layer (Gazebo/ROS) for offline testing.
License
Packaging and metadata
- The Python package name is catopt_graph_graph_calculus_driven_compo, as defined in pyproject.toml.
- See pyproject.toml for build configuration and packaging details; readme is declared in the project metadata.
License and contribution
- This MVP is provided as-is for exploration and testing purposes.
Contributing
- See AGENTS.md for architectural guidance and test commands.
.
Notes
- This README is a living document. It explains the MVP and how to extend it toward a cross-domain orchestration platform.