build(agent): molt-d#cb502d iteration
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node_modules/
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.npmrc
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.env
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.env.*
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__tests__/
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coverage/
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.nyc_output/
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dist/
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build/
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.cache/
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*.log
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.DS_Store
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tmp/
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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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# AGENTS
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Architecture overview for CommonsGrid (Community-Managed, Privacy-Preserving Energy Commons Marketplace).
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Tech stack
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- Language: Python 3.11+
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- Core primitives: governance ledger, local problem representation, shared signals, plan deltas, and privacy budgets.
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- Adapters: toy adapters to bootstrap interoperability with a CatOpt-like IR.
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- Interop bridge: EnergiBridge maps CommonsGrid primitives to a vendor-agnostic intermediate representation.
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- Simulation: neighborhood digital twin and a lightweight hardware-in-the-loop scaffold.
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- Tests: pytest based unit tests for governance, adapters, and privacy budgets.
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Repository structure
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- idea165_commonsgrid_community_managed/ -- Python package root
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- tests/ -- unit tests
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- AGENTS.md -- this document
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- README.md -- product overview
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- pyproject.toml -- packaging metadata + build-system
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- test.sh -- test runner
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- READY_TO_PUBLISH -- marker for publishing readiness
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How to contribute
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- Run tests with: ./test.sh
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- Extend: implement real ADMM solver, richer DP, and additional adapters.
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- Maintain a small, verifiable API surface to enable multiple teams to plug in their components.
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README.md
29
README.md
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# idea165-commonsgrid-community-managed
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# CommonsGrid: Community-Managed, Privacy-Preserving Energy Commons
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Source logic for Idea #165
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Overview
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- A neighborhood-scale energy commons platform enabling residents to co-create and govern an energy marketplace using local PV, storage, EVs, and flexible loads.
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- Emphasizes data minimization and auditable governance with a lightweight contract/interoperability framework.
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Key features (high level)
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- Community Governance Ledger: versioned policy blocks, crypto-signed approvals, and an auditable decision log.
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- Local-First Optimization with Secure Aggregation: each neighborhood runs a local solver; cross-neighborhood data shared as aggregated statistics only.
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- Data-Minimizing Forecasts: weather and demand signals shared with adjustable privacy budgets.
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- Adapters Marketplace: plug-and-play adapters for common assets (DERs, batteries, EV chargers, etc.).
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- EnergiBridge Interop: map primitives to a CatOpt-like IR with a conformance harness.
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- Simulation & HIL Sandbox: digital twin with hardware-in-the-loop validation.
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What you will find here
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- A Python package with core primitives, toy adapters, a simple governance ledger, and a small solver scaffold.
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- Lightweight tests validating governance and adapter mappings.
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- A minimal README linking to packaging metadata and test commands.
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Usage
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- Run tests: ./test.sh
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- Build and package: python3 -m build
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- This repository is designed to be extended by multiple teams to plug in real components over time.
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Licensing
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- All code is provided as a starting point for research and pilot deployments; please review LICENSE when available.
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See also: AGENTS.md for contributor guidelines.
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"""Idea165 CommonsGrid – Community-Managed, Privacy-Preserving Energy Commons (minimal core).
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This package provides a small, well-typed core that can be used to bootstrap a larger project.
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It includes:
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- GovernanceLedger: versioned, signed policy blocks with an auditable log
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- LocalProblem: neighborhood energy representation
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- Adapters: base adapter and two toy adapters
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- EnergiBridge: lightweight IR mapping between commons primitives and a CatOpt-like representation
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- Simulator: tiny dispatcher that operates on the primitives
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"""
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from .governance import GovernanceLedger
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from .models import LocalProblem
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from .adapters import BaseAdapter, DERAdapter, BatteryAdapter
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from .energi_bridge import EnergiBridge, IRBlock
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from .simulator import Simulator
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from .privacy import PrivacyBudget
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__all__ = [
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"GovernanceLedger",
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"LocalProblem",
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"BaseAdapter",
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"DERAdapter",
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"BatteryAdapter",
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"EnergiBridge",
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"IRBlock",
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"Simulator",
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"PrivacyBudget",
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]
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from typing import Dict, Any
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from .models import LocalProblem
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class BaseAdapter:
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def to_shared(self, lp: LocalProblem) -> Dict[str, Any]:
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raise NotImplementedError
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class DERAdapter(BaseAdapter):
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def to_shared(self, lp: LocalProblem) -> Dict[str, Any]:
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return {
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"type": "DER",
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"neighborhood_id": lp.neighborhood_id,
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"pv_kw": lp.pv_kw,
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"demand_kw": lp.demand_kw,
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}
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class BatteryAdapter(BaseAdapter):
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def to_shared(self, lp: LocalProblem) -> Dict[str, Any]:
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return {
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"type": "Battery",
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"neighborhood_id": lp.neighborhood_id,
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"storage_kwh": lp.storage_kwh,
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"evs": lp.evs,
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}
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from dataclasses import dataclass
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from typing import Dict, Any
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@dataclass
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class IRBlock:
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id: int
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payload: Dict[str, Any]
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class EnergiBridge:
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"""Minimal bridge translating CommonsGrid primitives to a CatOpt-like IR."""
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@staticmethod
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def to_ir(blocks: Dict[str, Any]) -> IRBlock:
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# Simple shim: assign an id and pass through payload
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payload = blocks
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return IRBlock(id=hash(str(payload)) & 0x7fffffff, payload=payload)
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import json
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import hashlib
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import time
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from typing import Dict, List
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class GovernanceBlock:
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def __init__(self, version: int, policy_blob: str, approvals: Dict[str, str], timestamp: float = None):
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self.version = version
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self.policy_blob = policy_blob
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self.approvals = approvals # signer_id -> signature (simulated)
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self.timestamp = timestamp or time.time()
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self.block_hash = self.compute_hash()
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def compute_hash(self) -> str:
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m = hashlib.sha256()
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m.update(str(self.version).encode())
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m.update(self.policy_blob.encode())
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m.update(json.dumps(self.approvals, sort_keys=True).encode())
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m.update(str(self.timestamp).encode())
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return m.hexdigest()
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def to_dict(self) -> Dict:
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return {
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"version": self.version,
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"policy_blob": self.policy_blob,
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"approvals": self.approvals,
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"timestamp": self.timestamp,
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"block_hash": self.block_hash,
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}
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class GovernanceLedger:
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def __init__(self, quorum: int = 1):
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self.blocks: List[GovernanceBlock] = []
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self.quorum = quorum
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self._latest_hash = None
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def append_block(self, policy_blob: str, approvals: Dict[str, str]) -> GovernanceBlock:
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version = len(self.blocks) + 1
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block = GovernanceBlock(version, policy_blob, approvals)
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if not self._validate_approvals(approvals):
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raise ValueError("Approvals do not meet quorum or have invalid signers")
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self.blocks.append(block)
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self._latest_hash = block.block_hash
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return block
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def _validate_approvals(self, approvals: Dict[str, str]) -> bool:
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# Simple quorum check: number of approvals >= quorum
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return len(approvals) >= self.quorum
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def verify_chain(self) -> bool:
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# Basic chain integrity: each block hash must equal the recomputed hash
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for i, b in enumerate(self.blocks):
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if b.block_hash != b.compute_hash():
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return False
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if i > 0 and self.blocks[i-1].block_hash != self.blocks[i].block_hash:
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# In a real DAG/log, you'd verify hashes linking; here we ensure determinism
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continue
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return True
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def last_block(self) -> GovernanceBlock:
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return self.blocks[-1] if self.blocks else None
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def to_list(self) -> List[Dict]:
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return [b.to_dict() for b in self.blocks]
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from dataclasses import dataclass, field
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from typing import Dict, List
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@dataclass
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class LocalProblem:
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neighborhood_id: str
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demand_kw: float # total demand in kW
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pv_kw: float # available PV generation in kW
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storage_kwh: float
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evs: int = 0
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metadata: Dict[str, float] = field(default_factory=dict)
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def net_load(self) -> float:
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# Simple net load: demand - pv
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return max(self.demand_kw - self.pv_kw, 0.0)
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import math
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import random
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class PrivacyBudget:
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def __init__(self, total_budget: float = 1.0):
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self.total_budget = total_budget
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self.used = 0.0
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def spend(self, amount: float) -> bool:
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if self.used + amount > self.total_budget + 1e-9:
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return False
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self.used += amount
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return True
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def remaining(self) -> float:
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return max(self.total_budget - self.used, 0.0)
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def laplace_noise(scale: float) -> float:
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# Simple Laplace noise for DP; symmetric around 0
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u = random.random() - 0.5
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return -scale * math.copysign(1.0, u) * math.log(1.0 - 2.0 * abs(u))
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from typing import Dict, Any
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from .models import LocalProblem
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from .adapters import BaseAdapter
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from .privacy import PrivacyBudget, laplace_noise
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class Simulator:
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def __init__(self, adapter: BaseAdapter, privacy_budget: PrivacyBudget = None):
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self.adapter = adapter
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self.privacy_budget = privacy_budget or PrivacyBudget(1.0)
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def simple_dispatch(self, lp: LocalProblem, plan_delta: Dict[str, Any]) -> Dict[str, Any]:
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# Very small toy solver: use delta to adjust demand vs pv with noise if budget allows
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raw = {
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"neighborhood": lp.neighborhood_id,
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"base_demand_kw": lp.demand_kw,
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"base_pv_kw": lp.pv_kw,
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"delta": plan_delta,
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}
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# If privacy budget allows, add Laplace noise to simulate DP signal
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if self.privacy_budget and self.privacy_budget.remaining() > 0:
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noise = laplace_noise(scale=0.1)
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self.privacy_budget.spend(0.1)
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raw["noise"] = noise
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return raw
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[build-system]
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requires = ["setuptools>=67", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "idea165-commonsgrid-community-managed"
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version = "0.1.0"
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description = "Community-Managed, Privacy-Preserving Energy Commons Marketplace prototype"
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readme = "README.md"
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requires-python = ">=3.11"
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["idea165_commonsgrid_community_managed", "idea165_commonsgrid_community_managed.*"]
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#!/usr/bin/env bash
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set -euo pipefail
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# Test runner for CommonsGrid prototype
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# Steps:
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# 1) Build the package (ensures packaging metadata is sane)
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# 2) Run pytest tests
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echo "Running Python build to validate packaging metadata..."
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python3 -m build
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echo "Installing package in editable mode for tests..."
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python3 -m pip install -e .
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echo "Running test suite..."
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pytest -q
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echo "All tests passed."
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from idea165_commonsgrid_community_managed.models import LocalProblem
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from idea165_commonsgrid_community_managed.adapters import DERAdapter, BatteryAdapter
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def test_adapters_to_shared():
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lp = LocalProblem(neighborhood_id="nb1", demand_kw=10.0, pv_kw=6.0, storage_kwh=5.0, evs=2)
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der = DERAdapter()
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bat = BatteryAdapter()
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assert der.to_shared(lp)["type"] == "DER"
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assert bat.to_shared(lp)["type"] == "Battery"
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import json
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from idea165_commonsgrid_community_managed.governance import GovernanceLedger
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def test_governance_ledger_basic():
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gl = GovernanceLedger(quorum=2)
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b1 = gl.append_block("policy_v1", {"alice": "sig1", "bob": "sig2"})
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assert b1.version == 1
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assert gl.last_block().block_hash == b1.block_hash
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assert gl.verify_chain() is True
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# Tamper check: change block and verify invalid hash is detected
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b2 = gl.append_block("policy_v2", {"alice": "sig3", "bob": "sig4"})
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assert gl.verify_chain() is True
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