gridverse-open-low-code-pla.../README.md

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GridVerse Open Low-Code Platform for CRO (MVP)

This repository implements a minimal, Python-based MVP of GridVerse: a modular, cross-domain energy optimization platform with a graph-contract registry and an adapter marketplace.

  • Core concepts: Objects, Morphisms, Functors
  • Lightweight Registry for contracts and adapters
  • Starter DER adapter and a small adapter marketplace scaffold
  • Marketplace and Registry: lightweight in-process components for adapter discovery and contract validation.
    • AdapterMarketplace (gridverse_open_low_code_platform_for_cro.marketplace) registers and lists adapters.
    • ContractRegistry (gridverse_open_low_code_platform_for_cro.registry) validates and stores contract schemas.
  • End-to-end tests and packaging skeleton
  • MVP extensions in progress
  • DeltaSync: lightweight delta-state helper for cross-domain messaging (gridverse_open_low_code_platform_for_cro/core.py)
  • registry_contracts: minimal helpers for contract schema validation (gridverse_open_low_code_platform_for_cro/registry_contracts.py)

How to run

  • bash test.sh

Philosophy

  • Keep the MVP small, testable, and extensible. Build only what is necessary to validate the core ideas and provide a stable foundation for future adapters and modules.

This README hooks into the Python packaging metadata in pyproject.toml, enabling a public package registry entry once published.

Roadmap (MVP Alignment)

  • Phase 0 (2 weeks): protocol skeleton, LocalProblem/SharedVariables/PlanDelta contracts, two starter adapters, TLS transport, and a minimal ADMM-lite solver.
  • Phase 1 (3-4 weeks): add Global Constraint Modules (Limits/Colimits), governance ledger scaffolding, and offline digital-twin simulations.
  • Phase 2 (2-3 weeks): Adapter Marketplace onboarding, minimal codegen path, and a reference DSL sketch for composing graphs of devices and constraints.
  • Phase 3 (3-4 weeks): hardware-in-the-loop validation with 2-domain cross-domain scenarios, performance metrics (convergence, latency, plan quality).
  • Success criteria: end-to-end convergence on toy objectives, auditable reconciliation logs, and a working conformance test harness for adapters.