20 lines
1.2 KiB
Markdown
20 lines
1.2 KiB
Markdown
# PolicyMesh: Policy-Driven Federated Optimization (MVP)
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PolicyMesh is a scaffold for building a policy-driven, privacy-preserving, offline-first federated optimization platform across cross-domain assets (electric DERs, water pumps, heating systems). This MVP focuses on clear separation of concerns, a minimal Graph-of-Contracts (GoC) abstraction, a lightweight ADMM-like solver, and a governance ledger for auditable settlements.
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What’s included in this MVP
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- Core data models: LocalPolicySet, GlobalConstraints, DataExposurePolicy
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- Lightweight PolicyMesh engine with local problem management and a tiny ADMM-lite step
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- In-memory registry for adapters/contracts (extensible to persistent storage)
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- Minimal solver utilities (policy aggregation and delta-sync scaffolding)
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- Basic tests verifying a two-domain flow and ledger growth
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- Packaging metadata and a test script that runs pytest and builds the package
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How to run
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- Install dependencies and run tests:
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- python3 -m pip install -r requirements.txt (if you add dependencies)
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- bash test.sh
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Notes
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- This is an MVP scaffolding intended for extension. It focuses on architectural clarity and testability over full production features.
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