115 lines
3.6 KiB
Python
115 lines
3.6 KiB
Python
from __future__ import annotations
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from typing import Any, Dict, List, Optional
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from dataclasses import dataclass
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@dataclass
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class LocalPolicySet:
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domain: str
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policies: Dict[str, Any] # domain-specific policy primitives
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version: str
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def dict(self) -> Dict[str, Any]:
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return {
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"domain": self.domain,
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"policies": self.policies,
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"version": self.version,
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}
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@dataclass
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class GlobalConstraints:
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constraints: Dict[str, Any] # mesh-level constraints (limits, envelopes, etc.)
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version: str
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def dict(self) -> Dict[str, Any]:
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return {
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"constraints": self.constraints,
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"version": self.version,
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}
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@dataclass
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class DataExposurePolicy:
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allowed_data: List[str]
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privacy_budget: float # simple DP budget proxy
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version: str
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def dict(self) -> Dict[str, Any]:
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return {
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"allowed_data": self.allowed_data,
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"privacy_budget": self.privacy_budget,
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"version": self.version,
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}
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class PolicyMesh:
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def __init__(self) -> None:
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self.local_problems: Dict[str, LocalPolicySet] = {}
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self.global_constraints: Optional[GlobalConstraints] = None
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# internal solver state (very lightweight ADMM-lite mock)
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self._z: Dict[str, Any] = {}
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self._u: Dict[str, Any] = {}
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# governance ledger (in-process; can be swapped to persistent store)
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self._ledger: List[Dict[str, Any]] = []
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# Local problem management
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def add_local_policy(self, policy: LocalPolicySet) -> None:
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self.local_problems[policy.domain] = policy
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def set_global_constraints(self, constraints: GlobalConstraints) -> None:
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self.global_constraints = constraints
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# Lightweight ADMM-like update (mock for MVP)
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def admm_step(self, rho: float = 1.0) -> None:
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# initialize if first run
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if not self.local_problems:
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return
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# simple placeholder: push domain policy sums into z and reset u
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for domain, policy in self.local_problems.items():
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# naive objective: sum of numeric policy values where possible
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total = 0.0
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for k, v in policy.policies.items():
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try:
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total += float(v)
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except Exception:
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continue
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self._z[domain] = total
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self._u[domain] = self._u.get(domain, 0.0) # keep a scalar dual-like variable
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# Commit a governance-like delta to the ledger for traceability
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self._ledger.append({
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"type": "admm_step",
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"count": len(self._ledger) + 1,
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"z": self._z.copy(),
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"u": self._u.copy(),
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})
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# Delta-sync: merge updates from a remote partner (mock)
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def delta_sync(self, remote: Dict[str, Any]) -> None:
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# naive: merge remote z into local, respecting versioning if provided
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for k, v in remote.get("z", {}).items():
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self._z[k] = v
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for k, v in remote.get("u", {}).items():
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self._u[k] = v
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self._ledger.append({
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"type": "delta_sync",
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"remote": True,
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"z": self._z.copy(),
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"u": self._u.copy(),
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})
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# Query helpers
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def get_state(self) -> Dict[str, Any]:
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return {
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"local_problems": {d: p.dict() for d, p in self.local_problems.items()},
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"global_constraints": self.global_constraints.dict() if self.global_constraints else None,
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"z": self._z,
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"u": self._u,
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}
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def get_ledger(self) -> List[Dict[str, Any]]:
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return self._ledger
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