Problem: In multi-asset edge ecosystems (robotics fleets, microgrids, mobility hubs), coordination requires composing many local optimization problems into a coherent global plan. Current solutions are fragmented across domains and vendor stacks, ham
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README.md

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 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).