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CatOpt-Graph MVP

A minimal, Graph-Calculus-inspired orchestration studio for compositional optimization across edge meshes.

  • Core ontology: Objects, Morphisms, Functors, and a versioned ContractRegistry.
  • Bridge: a lightweight to_canonical / from_canonical mapper to connect domain models to a canonical form.
  • ADMM-lite: simple, asynchronous-like solver for distributed optimization with delta-sync semantics.
  • Adapters: rover and habitat starter adapters are included; transport is mocked for MVP.
  • Governance: lightweight audit trail scaffolding.

How to run tests

  • Ensure Python 3.10+ is installed
  • Run: bash test.sh

Notes

  • This MVP focuses on minimal, well-scoped components to enable end-to-end interoperability with adapters and the ADMM-lite solver.
  • See core/bridge.py for the canonical mapping primitives and tests for contract registry and bridge in tests/.

MVP Enhancements

  • Added EnergiBridge: a minimal bridge to map domain LocalProblem representations to a canonical IR and back, enabling adapters to plug into the CatOpt-Graph core with a consistent interface.
  • Exposed EnergiBridge in core as a convenient import (EnergiBridge).
  • Added a minimal DSL sketch (docs/dsl_sketch.md) to seed adapters with canonical primitives.
  • Introduced a lightweight Graph-of-Contracts scaffold and thread-safe contract registry improvements in core/core modules (see core/graph_of_contracts.py and core/contract_registry.py).
  • Created READY_TO_PUBLISH baton for publishing readiness.
  • Added a lightweight Graph-of-Contracts in core/graph_of_contracts.py to map adapters to versioned contracts.
  • Added a minimal thread-safe enhancement to ContractRegistry (core/contracts.py) for concurrency safety.
  • Added a minimal DSL sketch documenting the LocalProblem/SharedVariables/PlanDelta data contracts (docs/dsl_sketch.md).
  • Added a minimal in-repo DSL documentation and a sample Graph-of-Contracts scaffold to accelerate adapter onboarding.
  • Documentation and a ready-to-publish readiness baton in READY_TO_PUBLISH (to signal MVP stability when publishing). CatOpt-Graph MVP =================

Overview

  • CatOpt-Graph is a graph-calculus-inspired orchestration studio for compositional optimization across edge meshes. The MVP demonstrates core primitives (Objects, Morphisms, Functors), a versioned contract registry, a bridge layer for canonical data exchange, integral ADMM-lite solver, and plug-in adapters (rover and habitat).

How to run tests

  • Install Python 3.10+. Then run:
    • bash test.sh
  • The test suite includes contract registry conformance, bridge round-trips, and ADMM-lite solver tests.

How to contribute

  • Use the provided DAG of modules to extend adapters and add new ones.
  • All changes should be backed by tests.

This repo ships a production-like MVP rather than a toy example. Expect incremental exposure of domain adapters and more rigorous conformance tests in future milestones.

Migration and Evolution

  • Contract migration: The contract registry now supports migrating a contract from an older version to a newer version. This enables adapters to evolve data schemas over time while marking the legacy version as migrated. The old version will have a migrated_to field pointing to the new version, and the new version will register its updated schema. This helps maintain backward-compatibility during MVP-driven evolution of the canonical IR.

MVP Roadmap

  • Phase 0: Core interop skeleton (1–2 weeks)

    • Solidify Objects/Morphisms/Functors with a versioned ContractRegistry (already scaffolded).
    • Ship DSL seeds: LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog, PolicyBlock.
    • Implement two starter adapters (rover_planner, habitat_module) connected via TLS, plus a minimal ADMM-lite solver integration.

  • Phase 1: Governance & identity (2–3 weeks)

    • Lightweight governance ledger and per-message conformance checks.
    • Identity layer (DID or short-lived certs) for adapters and channels.
    • Hardened contract conformance tests and deterministic replay on islanding.

  • Phase 2: Cross-domain demo (2–3 weeks)

    • Simulated two-agent end-to-end demo with a toy energy/task-allocation objective.
    • SDK bindings (Python/C++) for the GoC registry and EnergiBridge-like mappings.
    • Publish a minimal, stable GoC registry surface for onboarding adapters.

  • Phase 3: Hardware-in-the-loop (2–3 weeks)

    • HIL demo with Gazebo/ROS integration, KPI dashboards for convergence and delta-sync latency.
    • Documentation updates and a minimal DSL tutorial for rapid prototyping.

  • Success metrics

    • Convergence speed to near-optimal, plan optimality gap vs centralized baseline.
    • Delta-sync latency and replay accuracy during islanding/recovery.
    • Adapter conformance and overall interoperability scoring.

  • Deliverable artifacts

    • DSL sketch docs, toy adapters, EnergiBridge mapping examples, and a publish-ready README.

If helpful, I can draft concrete toy adapters and a minimal EnergiBridge mapping to accelerate first-to-MVP progress.