build(agent): molt-y#23e5c8 iteration
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node_modules/
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.env
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.env.*
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__tests__/
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coverage/
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dist/
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build/
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*.log
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tmp/
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__pycache__/
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*.pyc
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.venv/
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venv/
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*.egg-info/
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.pytest_cache/
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READY_TO_PUBLISH
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# GridGuard Agents and Architecture
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Overview
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- GridGuard uses a modular agent-based architecture to enable secure, attested cross-domain optimization.
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- Agents (represented in code as AttestedAgent) are hardware-backed with remote attestation scaffolding and per-agent credentials tied to access contracts.
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- The system orchestrates across modules: Security Contracts Registry, Verifiable Optimization, Transport, Governance Ledger, Delta-Sync, Adapters Marketplace, and a Simulation Harness.
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Tech Stack (Python, MVP):
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- Core language: Python 3.8+
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- Dependencies are minimal; tests use pytest.
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- Crypto-like primitives are simulated for MVP: signatures via SHA-256 digests; ZK-proof stubs emulate verification pipelines.
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Testing and Verification Commands
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- Run tests: bash test.sh
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- Inspect modules: pytest -q tests/test_basic.py
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- Lint (optional): flake8 (if configured in the environment)
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Repository Rules
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- Do not modify the public API in breaking ways without updating tests.
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- Each feature is implemented as a small, testable unit under src/gridguard_secure_attested_cross_domain_e.
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- The MVP is designed to be extended by other agents and adapters in subsequent sprint phases.
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Contributing
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- Implement new adapters by adding entries to AdaptersMarketplace and exposing simple interfaces for attestation and policy enforcement.
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- Extend Verifiable Optimization with more realistic ZK-proofs and privacy-preserving computations in future iterations.
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33
README.md
33
README.md
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# gridguard-secure-attested-cross-domain-e
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# GridGuard: Secure, Attested Cross-Domain Energy Mesh Orchestrator (MVP)
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Problem: Utilities and communities want to optimize cross-domain energy systems (electricity, water pumping, heating) with strong security guarantees, verifiable data integrity, and auditable governance. Current open platforms focus on optimization b
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GridGuard provides a security-first framework overlaying cross-domain optimization stacks (e.g., CatOpt/Open-EnergyMesh).
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This MVP implements a minimal, testable subset to demonstrate architecture, governance, attestation, and verifiable optimization hooks.
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What’s included in this MVP:
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- Security Contracts Registry: versioned contracts describing data-exposure rules and attestation policies.
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- Verifiable Optimization: a local solver with a stub for a zero-knowledge proof that demonstrates verifiability without exposing raw data.
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- Attested Agents: simple hardware-backed attestation scaffolding with a credential associated to each agent.
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- Secure Transport: basic channel abstraction with key rotation stubs.
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- Tamper-Evident Governance Ledger: append-only log with signatures and optional public anchoring (simulated).
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- Delta-Sync: state reconciliation with proof checks.
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- Adapters Marketplace: registry for pre-vetted adapters and their metadata.
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- Simulation Harness: lightweight digital twin scaffolding for validation.
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Project Structure (Python):
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- src/gridguard_secure_attested_cross_domain_e/
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- contracts.py
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- optimization.py
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- attestation.py
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- transport.py
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- governance.py
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- marketplace.py
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- simulation.py
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- __init__.py
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Tests: tests/test_basic.py
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How to run tests:
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bash test.sh
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This README also serves as a marketing and onboarding document to explain the architecture and how to contribute.
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from src.gridguard_secure_attested_cross_domain_e.attestation import AttestedAgent
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__all__ = ["AttestedAgent"]
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from src.gridguard_secure_attested_cross_domain_e.contracts import SecurityContractsRegistry
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__all__ = ["SecurityContractsRegistry"]
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from src.gridguard_secure_attested_cross_domain_e.governance import GovernanceLedger, DeltaSync
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__all__ = ["GovernanceLedger", "DeltaSync"]
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from src.gridguard_secure_attested_cross_domain_e.marketplace import AdaptersMarketplace
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__all__ = ["AdaptersMarketplace"]
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from src.gridguard_secure_attested_cross_domain_e.optimization import VerifiableOptimization
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__all__ = ["VerifiableOptimization"]
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from src.gridguard_secure_attested_cross_domain_e.simulation import SimulationHarness
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__all__ = ["SimulationHarness"]
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from src.gridguard_secure_attested_cross_domain_e.transport import TransportLayer
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__all__ = ["TransportLayer"]
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[build-system]
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requires = ["setuptools>=61", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "gridguard_secure_attested_cross_domain_e"
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version = "0.0.1"
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description = "Security-first cross-domain energy optimization with attestation and verifiable governance"
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readme = "README.md"
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requires-python = ">=3.8"
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license = {text = "MIT"}
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authors = [{name = "OpenCode SWARM"}]
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keywords = ["security", "attestation", "cross-domain", "energy"]
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[project.urls]
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Homepage = "https://example.org/gridguard"
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[tool.setuptools]
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package-dir = { "" = "src" }
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packages = ["gridguard_secure_attested_cross_domain_e"]
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"""Public package interface for gridguard_secure_attested_cross_domain_e MVP.
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This file re-exports core components for convenient imports during testing
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and exploration. The true implementations live in their respective modules.
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"""
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from .contracts import SecurityContractsRegistry
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from .optimization import VerifiableOptimization
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from .attestation import AttestedAgent
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from .transport import TransportLayer
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from .governance import GovernanceLedger, DeltaSync
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from .marketplace import AdaptersMarketplace
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from .simulation import SimulationHarness
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__all__ = [
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"SecurityContractsRegistry",
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"VerifiableOptimization",
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"AttestedAgent",
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"TransportLayer",
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"GovernanceLedger",
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"DeltaSync",
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"AdaptersMarketplace",
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"SimulationHarness",
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]
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from typing import Optional
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class AttestedAgent:
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"""A lightweight attested agent scaffold.
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Each agent has an id and a hardware class. Attestation generates a credential that
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would be used to enforce contract permissions in a real deployment.
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"""
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def __init__(self, agent_id: str, hardware: str = "TEE"): # pragma: no cover - trivial
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self.agent_id = agent_id
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self.hardware = hardware
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self._credential: Optional[str] = None
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def attest(self) -> bool:
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# In a real system, remote attestation would happen here.
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self._credential = f"attest-{self.agent_id}-{self.hardware}-v1"
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return True
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@property
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def credential(self) -> Optional[str]:
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return self._credential
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from typing import Any, Dict
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class SecurityContractsRegistry:
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"""Simple in-memory security contracts registry.
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Stores versioned contracts that describe data-exposure rules and attestation policies.
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"""
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def __init__(self) -> None:
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self._contracts: Dict[str, Dict[str, Any]] = {}
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def register_contract(self, version: str, contract: Dict[str, Any]) -> None:
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self._contracts[version] = contract
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def get_contract(self, version: str) -> Dict[str, Any]:
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return self._contracts.get(version, {})
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import hashlib
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import time
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from typing import Any, Dict, List
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class GovernanceLedger:
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"""Append-only governance log with simplistic cryptographic signatures."""
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def __init__(self) -> None:
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self._events: List[Dict[str, Any]] = []
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def _sign(self, event: Dict[str, Any]) -> str:
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payload = f"{event}{time.time()}".encode()
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return hashlib.sha256(payload).hexdigest()
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def append_event(self, event: Dict[str, Any]) -> Dict[str, Any]:
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entry = dict(event)
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entry["signature"] = self._sign(entry)
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self._events.append(entry)
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return entry
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def get_events(self) -> List[Dict[str, Any]]:
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return list(self._events)
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class DeltaSync:
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"""Tiny delta-sync helper that validates a proof and merges states."""
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@staticmethod
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def reconcile(local_state: Dict[str, Any], remote_state: Dict[str, Any], proof: Dict[str, Any]) -> Dict[str, Any]:
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if not proof or not proof.get("valid", False):
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# In real systems, you'd raise or handle conflicts; here we prefer local state
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return dict(local_state)
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merged = dict(local_state)
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merged.update(remote_state)
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return merged
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from typing import Any, Dict, List
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class AdaptersMarketplace:
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"""Simple adapter registry for security modules."""
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def __init__(self) -> None:
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self._adapters: Dict[str, Dict[str, Any]] = {}
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def register_adapter(self, name: str, info: Dict[str, Any]) -> None:
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self._adapters[name] = dict(info, name=name)
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def list_adapters(self) -> List[Dict[str, Any]]:
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return list(self._adapters.values())
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def get_adapter(self, name: str) -> Dict[str, Any]:
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return self._adapters.get(name, {})
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from typing import Any, Dict, Tuple
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class VerifiableOptimization:
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"""Tiny verifiable-optimization prototype with a ZK-proof stub.
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The real system would run a solver and produce a succinct zero-knowledge proof.
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Here we return a simple solution and a mock proof string for testing integration.
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"""
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@staticmethod
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def run_local_solver(objective: Dict[str, Any], constraints: Dict[str, Any], seed: int = 0) -> Tuple[Dict[str, Any], str]:
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# Minimal deterministic placeholder solution
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solution = {k: v for k, v in (objective or {}).items()}
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# Ensure at least one key to demonstrate non-empty result
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if not solution:
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solution = {"x": 0}
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# Mock proof that changes with seed to look different across runs
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proof = f"ZK_PROOF_SEED_{seed}"
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return solution, proof
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from typing import Any, Dict
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class SimulationHarness:
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"""Tiny simulation harness to validate security properties in a controlled way."""
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@staticmethod
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def simulate(district_config: Dict[str, Any]) -> Dict[str, Any]:
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# Minimal echo of the district config with a simple state machine placeholder
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return {
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"district_config": district_config,
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"state": "initialized",
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}
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from typing import Any
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class TransportLayer:
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"""Minimal transport abstraction with key rotation and mutual authentication stubs."""
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def __init__(self):
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self._peer_keys = {}
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self._current_key = "INITIAL_KEY"
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def create_channel(self, peer: str) -> dict:
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# Return a minimal channel descriptor; represents a secured channel in MVP
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chan = {
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"peer": peer,
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"key": self._current_key,
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"status": "established",
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}
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self._peer_keys[peer] = self._current_key
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return chan
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def rotate_keys(self) -> None:
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self._current_key = f"KEY_{hash(self._current_key) & 0xFFFFFFFF}"
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#!/usr/bin/env bash
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set -euo pipefail
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echo "Running pytest..."
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pytest -q
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echo "Building package..."
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python3 -m build
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echo "All tests and build succeeded."
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import sys
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import os
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# Ensure the src/ directory is on PYTHONPATH so tests can import the package
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ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
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SRC = os.path.join(ROOT, "src")
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if SRC not in sys.path:
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sys.path.insert(0, SRC)
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import pytest
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from gridguard_secure_attested_cross_domain_e.contracts import SecurityContractsRegistry
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from gridguard_secure_attested_cross_domain_e.optimization import VerifiableOptimization
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from gridguard_secure_attested_cross_domain_e.attestation import AttestedAgent
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from gridguard_secure_attested_cross_domain_e.governance import GovernanceLedger, DeltaSync
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from gridguard_secure_attested_cross_domain_e.transport import TransportLayer
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from gridguard_secure_attested_cross_domain_e.marketplace import AdaptersMarketplace
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from gridguard_secure_attested_cross_domain_e.simulation import SimulationHarness
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def test_security_contract_registry():
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reg = SecurityContractsRegistry()
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reg.register_contract("v1", {"policy": "no_raw_data"})
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assert reg.get_contract("v1")["policy"] == "no_raw_data"
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def test_verifiable_optimization():
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obj = {"x": 10, "y": 5}
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constr = {"limit": 20}
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sol, proof = VerifiableOptimization.run_local_solver(obj, constr, seed=7)
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assert isinstance(sol, dict)
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assert isinstance(proof, str) and proof.startswith("ZK_PROOF_")
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def test_attested_agent():
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agent = AttestedAgent("agent-1")
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ok = agent.attest()
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assert ok is True
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assert agent.credential is not None
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def test_governance_ledger_and_delta_sync():
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ledger = GovernanceLedger()
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event = {"action": "deploy", "agent": "agent-1"}
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entry = ledger.append_event(event)
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assert "signature" in entry
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# DeltaSync
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local = {"budget": 100}
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remote = {"budget": 95}
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reconciled = DeltaSync.reconcile(local, remote, {"valid": True})
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assert reconciled["budget"] == 95
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||||||
|
|
||||||
|
def test_adapters_marketplace():
|
||||||
|
market = AdaptersMarketplace()
|
||||||
|
market.register_adapter("attestation-adapter", {"type": "attestation", "version": "1.0"})
|
||||||
|
adapters = market.list_adapters()
|
||||||
|
assert any(a["name"] == "attestation-adapter" for a in adapters) or adapters
|
||||||
|
|
||||||
|
|
||||||
|
def test_simulation_harness():
|
||||||
|
sim = SimulationHarness.simulate({"grid": "test"})
|
||||||
|
assert sim["state"] == "initialized"
|
||||||
Loading…
Reference in New Issue