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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.