build(agent): new-agents-2#7e3bbc 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.md
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Architecture and testing rules for GridGuard MVP (EnergiBridge-inspired).
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- Language: Python
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- Core: energi_bridge package with schemas (LocalProblem, SharedVariables, PlanDelta, DualVariables)
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- Adapters: two toy adapters under energi_bridge/adapters
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- Tests: pytest-based tests; test.sh runs tests and python -m build
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- Build: python -m build to verify packaging metadata
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- How to run:
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- ./test.sh
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- Contributing: keep changes minimal and well-scoped; add tests for new schemas or adapters
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20
README.md
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README.md
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# idea93-gridguard-verifiable-telemetry
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# GridGuard-Inspired EnergiBridge Skeleton (MVP)
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Source logic for Idea #93
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This repository provides a production-ready skeleton for a canonical interop layer (EnergiBridge-like) to enable secure, verifiable telemetry and orchestration across multi-asset power facilities.
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- Phase 0 MVP: skeleton protocol plus two starter adapters (solar_meter and der_aggregator) over TLS (stubbed), a lightweight ADMM-lite local solver, deterministic delta-sync with replay capability, and a toy mesh-energy-balance objective.
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- Phase 1–3: governance, identity, cross-domain pilots, SDKs, and hardware-in-the-loop validation.
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What you’ll find:
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- energi_bridge: Python package containing core schema definitions (LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog, PrivacyBudget)
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- energi_bridge/adapters: two toy adapters to simulate a solar-meter feed and a DER-aggregator
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- tests/: pytest-based tests for schema validation and adapter interactions
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- test.sh: script to run tests and build the package
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- AGENTS.md: project-wide architectural and testing guidelines
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How to run
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- Install dependencies and run tests: ./test.sh
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- Build the package: python -m build
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This is a minimal, production-oriented scaffold intended to be extended in subsequent sprint tasks.
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"""EnergiBridge-inspired canonical interop layer (skeleton).
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This package provides minimal schema definitions used for Phase 0 MVP
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and toy adapters that simulate telemetry and control planes.
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"""
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from .schemas import LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog, PrivacyBudget
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__all__ = [
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"LocalProblem",
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"SharedVariables",
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"PlanDelta",
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"DualVariables",
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"AuditLog",
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"PrivacyBudget",
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]
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"""Toy adapters for GridGuard MVP.
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Two adapters: SolarMeterAdapter and DERAggregatorAdapter simulate data flows.
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"""
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from .solar_meter_adapter import SolarMeterAdapter
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from .der_aggregator import DERAggregatorAdapter
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__all__ = ["SolarMeterAdapter", "DERAggregatorAdapter"]
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"""Toy DER Aggregator Adapter (Phase 0 MVP)."""
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from dataclasses import dataclass
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from typing import Dict, Any
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import time
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@dataclass
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class DERAggregatorAdapter:
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aggregator_id: str
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def aggregate(self) -> Dict[str, Any]:
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# Simple deterministic aggregation sample
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ts = int(time.time())
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return {
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"aggregator_id": self.aggregator_id,
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"timestamp": ts,
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"total_power_kw": 500.0, # fixed placeholder for deterministic behavior
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"status": "nominal",
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}
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"""Toy Solar Meter Adapter (Phase 0 MVP)."""
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from dataclasses import dataclass
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from typing import Dict, Any
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import random
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import time
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@dataclass
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class SolarMeterAdapter:
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site_id: str
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def read_meter(self) -> Dict[str, Any]:
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# Simulate solar meter reading
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return {
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"site_id": self.site_id,
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"timestamp": int(time.time()),
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"solar_output_kw": round(random.uniform(0, 1000), 2),
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"status": "ok",
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}
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional
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from datetime import datetime
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@dataclass
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class LocalProblem:
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id: str
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domain: str
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assets: List[str]
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constraints: Dict[str, Any] = field(default_factory=dict)
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objective: Dict[str, Any] = field(default_factory=dict)
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solver_hint: Optional[str] = None
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@dataclass
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class SharedVariables:
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version: int
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signals: Dict[str, Any] = field(default_factory=dict)
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privacy_tag: Optional[str] = None
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aggregation_method: str = "mean"
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@dataclass
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class PlanDelta:
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delta: Dict[str, Any]
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timestamp: datetime
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author: str
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contract_id: str
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signature: Optional[str] = None
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safety_tags: Optional[List[str]] = None
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@dataclass
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class DualVariables:
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lagrange_multipliers: Dict[str, float] = field(default_factory=dict)
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convergence_status: Optional[str] = None
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@dataclass
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class AuditLog:
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entries: List[Dict[str, Any]] = field(default_factory=list)
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last_updated: Optional[datetime] = None
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@dataclass
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class PrivacyBudget:
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budget: float
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spent: float = 0.0
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policy: Dict[str, Any] = field(default_factory=dict)
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@dataclass
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class RegistryMetadata:
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contract_version: str
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adapter_id: str
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replay_hint: Optional[str] = None
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[build-system]
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requires = ["setuptools", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "energibridge-skeleton"
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version = "0.1.0"
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description = "EnergiBridge-inspired canonical interop skeleton for GridGuard MVP"
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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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# Packaging configuration for setuptools can be discovered by the build tool.
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#!/usr/bin/env bash
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set -euo pipefail
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echo "Installing package in editable mode..."
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python -m pip install -e . --quiet
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echo "Running unit tests..."
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pytest -q
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echo "Building package..."
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python -m build
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echo "All tests passed and build completed."
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import pytest
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from energi_bridge.schemas import LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog, PrivacyBudget
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from datetime import datetime
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def test_local_problem_defaults():
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lp = LocalProblem(id="lp1", domain="solar", assets=["panel1"])
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assert lp.id == "lp1"
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assert lp.domain == "solar"
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assert lp.assets == ["panel1"]
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assert isinstance(lp.constraints, dict)
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def test_shared_variables_defaults():
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sv = SharedVariables(version=1)
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assert sv.version == 1
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assert sv.aggregation_method == "mean"
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def test_plan_delta_creation():
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pd = PlanDelta(delta={"dispatch": "up"}, timestamp=datetime.utcnow(), author="tester", contract_id="c1")
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assert pd.delta["dispatch"] == "up"
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assert pd.author == "tester"
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def test_dual_variables_defaults():
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dv = DualVariables()
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assert dv.lagrange_multipliers == {}
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