diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..bd5590b --- /dev/null +++ b/.gitignore @@ -0,0 +1,21 @@ +node_modules/ +.npmrc +.env +.env.* +__tests__/ +coverage/ +.nyc_output/ +dist/ +build/ +.cache/ +*.log +.DS_Store +tmp/ +.tmp/ +__pycache__/ +*.pyc +.venv/ +venv/ +*.egg-info/ +.pytest_cache/ +READY_TO_PUBLISH diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..d88dcfa --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,10 @@ +# AGENTS.md + +Architecture and contribution guide for PolicyMesh MVP. + +- Tech stack: Python 3.8+, pydantic for data models, minimal in-memory registry, lightweight ADMM-like solver. +- Testing: pytest-based unit tests; packaging validation via python -m build. +- How to contribute: implement adapters, extend policy primitives, add concrete cross-domain models, and expand governance ledger persistence. +- Testing commands: + - bash test.sh +- Guidelines: keep changes small, maintain backward compatibility unless explicit migration is required, add tests for new features. diff --git a/README.md b/README.md index 0d570a7..46f6b3a 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,19 @@ -# policymesh-policy-driven-federated-optim +# PolicyMesh: Policy-Driven Federated Optimization (MVP) -A novel platform that enables municipalities and communities to encode policy objectives (reliability, equity, carbon targets) as constraints and run privacy-preserving, offline-first federated optimization across cross-domain assets (electric DERs, \ No newline at end of file +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. + +What’s included in this MVP +- Core data models: LocalPolicySet, GlobalConstraints, DataExposurePolicy +- Lightweight PolicyMesh engine with local problem management and a tiny ADMM-lite step +- In-memory registry for adapters/contracts (extensible to persistent storage) +- Minimal solver utilities (policy aggregation and delta-sync scaffolding) +- Basic tests verifying a two-domain flow and ledger growth +- Packaging metadata and a test script that runs pytest and builds the package + +How to run +- Install dependencies and run tests: + - python3 -m pip install -r requirements.txt (if you add dependencies) + - bash test.sh + +Notes +- This is an MVP scaffolding intended for extension. It focuses on architectural clarity and testability over full production features. diff --git a/policy_mesh/__init__.py b/policy_mesh/__init__.py new file mode 100644 index 0000000..05da4cd --- /dev/null +++ b/policy_mesh/__init__.py @@ -0,0 +1,8 @@ +from .core import LocalPolicySet, GlobalConstraints, DataExposurePolicy, PolicyMesh + +__all__ = [ + "LocalPolicySet", + "GlobalConstraints", + "DataExposurePolicy", + "PolicyMesh", +] diff --git a/policy_mesh/core.py b/policy_mesh/core.py new file mode 100644 index 0000000..2ced030 --- /dev/null +++ b/policy_mesh/core.py @@ -0,0 +1,114 @@ +from __future__ import annotations + +from typing import Any, Dict, List, Optional +from dataclasses import dataclass + + +@dataclass +class LocalPolicySet: + domain: str + policies: Dict[str, Any] # domain-specific policy primitives + version: str + + def dict(self) -> Dict[str, Any]: + return { + "domain": self.domain, + "policies": self.policies, + "version": self.version, + } + + +@dataclass +class GlobalConstraints: + constraints: Dict[str, Any] # mesh-level constraints (limits, envelopes, etc.) + version: str + + def dict(self) -> Dict[str, Any]: + return { + "constraints": self.constraints, + "version": self.version, + } + + +@dataclass +class DataExposurePolicy: + allowed_data: List[str] + privacy_budget: float # simple DP budget proxy + version: str + + def dict(self) -> Dict[str, Any]: + return { + "allowed_data": self.allowed_data, + "privacy_budget": self.privacy_budget, + "version": self.version, + } + + +class PolicyMesh: + def __init__(self) -> None: + self.local_problems: Dict[str, LocalPolicySet] = {} + self.global_constraints: Optional[GlobalConstraints] = None + # internal solver state (very lightweight ADMM-lite mock) + self._z: Dict[str, Any] = {} + self._u: Dict[str, Any] = {} + + # governance ledger (in-process; can be swapped to persistent store) + self._ledger: List[Dict[str, Any]] = [] + + # Local problem management + def add_local_policy(self, policy: LocalPolicySet) -> None: + self.local_problems[policy.domain] = policy + + def set_global_constraints(self, constraints: GlobalConstraints) -> None: + self.global_constraints = constraints + + # Lightweight ADMM-like update (mock for MVP) + def admm_step(self, rho: float = 1.0) -> None: + # initialize if first run + if not self.local_problems: + return + # simple placeholder: push domain policy sums into z and reset u + for domain, policy in self.local_problems.items(): + # naive objective: sum of numeric policy values where possible + total = 0.0 + for k, v in policy.policies.items(): + try: + total += float(v) + except Exception: + continue + self._z[domain] = total + self._u[domain] = self._u.get(domain, 0.0) # keep a scalar dual-like variable + + # Commit a governance-like delta to the ledger for traceability + self._ledger.append({ + "type": "admm_step", + "count": len(self._ledger) + 1, + "z": self._z.copy(), + "u": self._u.copy(), + }) + + # Delta-sync: merge updates from a remote partner (mock) + def delta_sync(self, remote: Dict[str, Any]) -> None: + # naive: merge remote z into local, respecting versioning if provided + for k, v in remote.get("z", {}).items(): + self._z[k] = v + for k, v in remote.get("u", {}).items(): + self._u[k] = v + self._ledger.append({ + "type": "delta_sync", + "remote": True, + "z": self._z.copy(), + "u": self._u.copy(), + }) + + # Query helpers + def get_state(self) -> Dict[str, Any]: + return { + "local_problems": {d: p.dict() for d, p in self.local_problems.items()}, + "global_constraints": self.global_constraints.dict() if self.global_constraints else None, + "z": self._z, + "u": self._u, + } + + def get_ledger(self) -> List[Dict[str, Any]]: + return self._ledger diff --git a/policy_mesh/registry.py b/policy_mesh/registry.py new file mode 100644 index 0000000..156b96d --- /dev/null +++ b/policy_mesh/registry.py @@ -0,0 +1,24 @@ +"""In-memory registry for adapters and contracts (MVP). + +- This is a lightweight stand-in for a proper contract registry with versioning. +""" +from __future__ import annotations + +from typing import Dict, Any + + +class Registry: + def __init__(self) -> None: + self.adapters: Dict[str, Dict[str, Any]] = {} + + def register_adapter(self, name: str, version: str, meta: Dict[str, Any]) -> None: + self.adapters[name] = {"version": version, "meta": meta} + + def get_adapter(self, name: str) -> Dict[str, Any] | None: + return self.adapters.get(name) + + def list_adapters(self) -> Dict[str, Dict[str, Any]]: + return self.adapters + + +registry = Registry() diff --git a/policy_mesh/solver.py b/policy_mesh/solver.py new file mode 100644 index 0000000..a57c4b7 --- /dev/null +++ b/policy_mesh/solver.py @@ -0,0 +1,26 @@ +"""ADMM-lite solver utilities for PolicyMesh (minimal MVP). + +- This module provides small helpers to perform a toy ADMM-like step and +- to compute a simple synchronization delta for cross-domain coordination. +""" + +from typing import Any, Dict + + +def admm_lite_step(z: Dict[str, float], u: Dict[str, float], rho: float = 1.0) -> Dict[str, Dict[str, float]]: + # Very small, deterministic update for demonstration purposes + new_z: Dict[str, float] = {} + new_u: Dict[str, float] = {} + for k, val in z.items(): + # pretend we adjust z toward a neutral value 0.0 using rho + new_z[k] = val - rho * u.get(k, 0.0) + new_u[k] = u.get(k, 0.0) # keep dual variable in sync (no-op placeholder) + return {"z": new_z, "u": new_u} + + +def delta_sync(local_z: Dict[str, float], remote_z: Dict[str, float]) -> Dict[str, float]: + # simple max-merge for demonstration + merged: Dict[str, float] = dict(local_z) + for k, v in remote_z.items(): + merged[k] = max(merged.get(k, float('-inf')), v) + return merged diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..093d181 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,15 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "policy_mesh" +description = "Policy-driven federated optimization scaffold for cross-domain microgrids" +authors = [ { name = "OpenCode" } ] +requires-python = ">=3.8" +license = {text = "MIT"} +readme = "README.md" +dynamic = ["version"] + +[tool.setuptools.packages.find] +where = ["." ] diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..27e666b --- /dev/null +++ b/requirements.txt @@ -0,0 +1,3 @@ +pydantic>=1.10 +pytest>=7.0 +build>=0.7 diff --git a/test.sh b/test.sh new file mode 100644 index 0000000..325238d --- /dev/null +++ b/test.sh @@ -0,0 +1,11 @@ +#!/usr/bin/env bash +set -euo pipefail + +# Run tests and packaging check +echo "Setting PYTHONPATH for test environment..." +# Ensure repository root is on PYTHONPATH so policy_mesh imports resolve +export PYTHONPATH="${PYTHONPATH:+$PYTHONPATH:}/workspace/repo" +echo "Running tests..." +pytest -q +echo "Building package (Python) to verify packaging metadata..." +python3 -m build diff --git a/tests/test_basic.py b/tests/test_basic.py new file mode 100644 index 0000000..3c50a6e --- /dev/null +++ b/tests/test_basic.py @@ -0,0 +1,32 @@ +import json + +from policy_mesh.core import LocalPolicySet, GlobalConstraints, PolicyMesh + + +def test_basic_policymesh_flow(): + pm = PolicyMesh() + + # Create two local domains + lp1 = LocalPolicySet(domain="district-a", policies={"energy_budget": 100.0, "ramp_rate": 1.0}, version="v0") + lp2 = LocalPolicySet(domain="district-b", policies={"energy_budget": 80.0, "ramp_rate": 0.8}, version="v0") + + pm.add_local_policy(lp1) + pm.add_local_policy(lp2) + + # Global constraint placeholder + gc = GlobalConstraints(constraints={"mesh_budget": 180.0}, version="v0") + pm.set_global_constraints(gc) + + # Run a couple of ADMM steps (mocked) + pm.admm_step(rho=1.0) + pm.admm_step(rho=1.0) + + state = pm.get_state() + # basic assertions about stored state + assert "local_problems" in state + assert "district-a" in state["local_problems"] + assert state["global_constraints"]["version"] == "v0" if state["global_constraints"] else True + + # ensure ledger has entries from admm steps + ledger = pm.get_ledger() + assert len(ledger) >= 2