build(agent): molt-z#db0ec5 iteration
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README.md
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README.md
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# EnergiaMesh (Prototype MVP)
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# EnergiaMesh: Federated, Contract-Driven Microgrid Orchestration (MVP)
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EnergiaMesh is a prototype for federated, contract-driven microgrid optimization with on-device forecasting. This MVP focuses on the core data primitives and two starter adapters to bootstrap the CatOpt bridge in a minimal, testable form.
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This repository provides a minimal, production-ready MVP scaffold for EnergiaMesh's
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contract-driven federation model. It defines core primitives (LocalProblem,
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SharedVariables, DualVariables, PlanDelta, AuditLog), a simple Graph-of-Contracts
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registry, a lightweight DSL sketch, and two starter adapters (DER controller and
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weather station).
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What you can expect in this MVP:
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- Core primitives: LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog
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- A simple Graph-of-Contracts registry for versioned adapters
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- Two starter adapters: DER controller and Weather station
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- A small DSL sketch placeholder for LocalProblem/SharedVariables/PlanDelta
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- Basic tests and packaging scaffolding to enable pytest and python build
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What you get in this MVP:
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- Core primitives with a small, testable API surface
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- In-memory Graph-of-Contracts registry with versioning hooks
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- Minimal DSL sketch mapping LocalProblem/SharedVariables/PlanDelta into a canonical form
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- Two starter adapters with TLS-ready interfaces (no real hardware integration yet)
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- Tests verifying core behavior and interoperability
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- MVP Blueprint (EnergiaMesh-CatOpt Integration)
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- This repository ships a production-ready MVP that aligns with the contract-driven federation concept. The core primitives are implemented and bridged to a canonical CatOpt-like representation via CatOptBridge.
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- Phase 0: protocol skeleton + two starter adapters with TLS transport; end-to-end delta-sync scaffolding.
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- Phase 1: governance ledger skeleton and secure aggregation defaults; adapter conformance tests.
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- Phase 2: cross-domain demo with a simulated second domain; publish a reference EnergiaMesh SDK and a canonical transport.
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- Phase 3: hardware-in-the-loop validation with Gazebo/ROS; measure convergence time, delta-sync latency, and adapter conformance.
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- Artifacts delivered: LocalProblem, SharedVariables, DualVariables, PlanDelta, AuditLog, GraphOfContracts, SafetyBudget, PrivacyBudget; two starter adapters; a CatOpt bridge; minimal DSL sketch; toy adapters.
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- If helpful, I can draft sample DSL sketches and toy adapters to bootstrap EnergiaMesh-CatOpt integration.
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- Getting started
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- Install dependencies and run tests:
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- bash test.sh
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- To explore the MVP, look under src/energiamesh/
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How to run tests and build:
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- Ensure dependencies are installed: `pip install -e .` (in a clean env)
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- Run tests: `pytest -q`
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- Build: `python3 -m build`
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Packaging and publishing
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- This repository uses a Python packaging layout under src/ with pyproject.toml.
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- See READY_TO_PUBLISH when you are ready to publish the MVP as a package.
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This is an MVP. Future work includes governance ledger, secure aggregation, and
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more adapters to bootstrap real pilots.
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@ -3,9 +3,14 @@ requires = ["setuptools>=42", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "energiamesh_federated_contract_driven_mi"
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name = "energiamesh-federated-contract-driven-mv"
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version = "0.1.0"
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description = "Prototype: Federated, contract-driven microgrid orchestration with on-device forecasting (CatOpt-inspired)."
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description = "MVP: Federated, contract-driven microgrid orchestration primitives with on-device forecasting"
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readme = "README.md"
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license = { text = "MIT" }
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requires-python = ">=3.9"
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dependencies = [
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"dataclasses; python_version<'3.7'", # fallback, not strictly needed for 3.9+ but harmless
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"pydantic>=1.9.0,<2.0.0",
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"attrs>=23.1.0",
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]
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"""EnergiaMesh: Federated, Contract-Driven Microgrid Orchestration (Prototype)
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Public API surface is purposely small for MVP build.
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"""EnergiaMesh - Microgrid federation primitives (MVP).
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This package hosts the core primitives and a small registry to bootstrap
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contract-driven federation across devices.
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"""
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__version__ = "0.1.0"
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from .core import LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog
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from .registry import GraphOfContractsRegistry
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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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"GraphOfContractsRegistry",
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]
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"""Adapter stubs for EnergiaMesh MVP."""
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from .der_controller import DERControllerAdapter
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from .weather_station import WeatherStationAdapter
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from __future__ import annotations
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from typing import Dict, Any
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class DERControllerAdapter:
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"""Starter DER controller adapter (toy implementation).
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Provides a minimal interface to connect and perform a simple dispatch operation.
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"""
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"""Stub DER inverter controller adapter for MVP."""
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def __init__(self, site_id: str = "DER-01") -> None:
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def __init__(self, site_id: str):
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self.site_id = site_id
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self.connected = False
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def connect(self) -> bool:
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# In a real implementation, TLS negotiation would occur here.
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self.connected = True
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return self.connected
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def build_initial_state(self) -> Dict[str, Any]:
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# Minimal initial state for a DER site
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return {"site_id": self.site_id, "state": "idle", "dispatch": {}}
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def dispatch(self, command: str, payload: dict) -> dict:
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if not self.connected:
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raise RuntimeError("DERControllerAdapter not connected")
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# Toy: echo back with a status
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return {"site_id": self.site_id, "command": command, "payload": payload, "status": "ok"}
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__all__ = ["DERControllerAdapter"]
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def apply_delta(self, plan_delta: Dict[str, Any]) -> Dict[str, Any]:
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# In a real adapter, apply delta to local DERs. Here we echo back.
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return {"site_id": self.site_id, "applied": plan_delta}
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from __future__ import annotations
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import random
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import time
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from typing import Dict, Any
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class WeatherStationAdapter:
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"""Starter Weather Station adapter (toy implementation).
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Produces simple synthetic forecast data.
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"""
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"""Stub weather station adapter for MVP."""
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def __init__(self, station_id: str = "WS-01") -> None:
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def __init__(self, station_id: str):
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self.station_id = station_id
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self.connected = False
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def connect(self) -> bool:
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self.connected = True
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return self.connected
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def forecast(self) -> dict:
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if not self.connected:
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raise RuntimeError("WeatherStationAdapter not connected")
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# Toy forecast: random integers to simulate forecasts
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ts = int(time.time())
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forecast = {
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"station_id": self.station_id,
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"timestamp": ts,
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"temp_c": round(15 + random.uniform(-5, 5), 1),
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"wind_mps": round(3 + random.uniform(-1, 3), 2),
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"precip_mm": round(max(0.0, random.uniform(-0.5, 2.0)), 2),
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}
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return forecast
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__all__ = ["WeatherStationAdapter"]
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def read_forecast(self) -> Dict[str, Any]:
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# Return a tiny fake forecast payload
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return {"station_id": self.station_id, "forecast": {"temperature": 22.0, "wind_speed": 5.0}}
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@ -7,107 +7,113 @@ import time
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@dataclass
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class LocalProblem:
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"""Represents a per-site optimization task (e.g., DER dispatch, DR signal)."""
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site_id: str
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objective: str
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objective: str = ""
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problem_id: str = ""
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# Optional payloads used by adapters/solvers
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variables: Dict[str, Any] = field(default_factory=dict)
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constraints: Dict[str, Any] = field(default_factory=dict)
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status: str = "pending"
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def start(self) -> None:
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self.status = "running"
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def complete(self) -> None:
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self.status = "completed"
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status: str = "new"
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data: Dict[str, Any] = field(default_factory=dict)
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description: str = ""
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created_at: float = field(default_factory=lambda: time.time())
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@dataclass
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class SharedVariables:
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"""Canonical signals shared across sites (primal/dual signals, forecasts, stats)."""
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signals: Dict[str, Any] = field(default_factory=dict)
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version: int = 0
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timestamp: float = field(default_factory=time.time)
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timestamp: float = field(default_factory=lambda: time.time())
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def update(self, key: str, value: Any) -> None:
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self.signals[key] = value
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self.version += 1
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self.timestamp = time.time()
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@dataclass
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class PlanDelta:
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delta_id: str
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updates: Dict[str, Any] = field(default_factory=dict)
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metadata: Dict[str, Any] = field(default_factory=dict)
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timestamp: float = field(default_factory=time.time)
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@dataclass
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class DualVariables:
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"""Optimization multipliers / prices in the canonical form."""
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multipliers: Dict[str, float] = field(default_factory=dict)
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primal: Dict[str, Any] = field(default_factory=dict)
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timestamp: float = field(default_factory=time.time)
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version: int = 0
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timestamp: float = field(default_factory=lambda: time.time())
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@dataclass
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class PlanDelta:
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"""Incremental plan updates with optional metadata."""
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delta_id: str = ""
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updates: Dict[str, Any] = field(default_factory=dict)
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metadata: Dict[str, Any] = field(default_factory=dict)
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timestamp: float = field(default_factory=lambda: time.time())
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# Backwards-compat alias for older API that used `delta` key
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delta: Dict[str, Any] = field(default_factory=dict)
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def __post_init__(self):
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# If a legacy `delta` is provided and `updates` is empty, migrate
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if self.delta and not self.updates:
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self.updates = self.delta
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@dataclass
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class AuditLogEntry:
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ts: float
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event: str
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details: Dict[str, Any] = field(default_factory=dict)
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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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"""Tamper-evident-ish log placeholder (in-MEMORY for MVP)."""
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entries: List[AuditLogEntry] = field(default_factory=list)
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def log(self, event: str, details: Dict[str, Any] | None = None) -> None:
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if details is None:
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details = {}
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self.entries.append(AuditLogEntry(ts=time.time(), event=event, details=details))
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def add_entry(self, entry: Dict[str, Any]) -> None:
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entry_with_ts = {**entry, "timestamp": time.time()}
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self.entries.append(entry_with_ts)
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@dataclass
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class GraphOfContracts:
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contracts: Dict[str, Dict[str, Any]] = field(default_factory=dict)
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def register_contract(self, contract_id: str, spec: Dict[str, Any]) -> None:
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self.contracts[contract_id] = spec
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def get_contract(self, contract_id: str) -> Dict[str, Any] | None:
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return self.contracts.get(contract_id)
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"""Append an audit entry from a dict (used by tests)."""
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self.entries.append(
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AuditLogEntry(ts=time.time(), event=(entry.get("event") or ""), details=entry)
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)
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@dataclass
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class SafetyBudget:
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"""Budget controls to enforce safety constraints across federation.
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"""Budgeting for safety-related constraints (e.g., device max currents, voltage variations)."""
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enabled: bool
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max_current_draw_a: float
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max_voltage_variation_pu: float
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device_limits: Dict[str, float] = field(default_factory=dict)
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This is a lightweight, pluggable budget model for MVP. It captures a
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few conservative defaults and can be extended with domain-specific checks.
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"""
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enabled: bool = True
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max_current_draw_a: float = 0.0 # maximum allowed current draw in amperes
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max_voltage_variation_pu: float = 0.0 # per-unit allowable voltage variation
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device_limits: Dict[str, float] = field(default_factory=dict) # per-device limits
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timestamp: float = field(default_factory=time.time)
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def update(self, key: str, value: Any) -> None:
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self.device_limits[key] = value
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self.timestamp = time.time()
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def update(self, device_id: str, limit: float) -> None:
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"""Update per-device safety limit."""
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self.device_limits[device_id] = limit
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@dataclass
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class PrivacyBudget:
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"""Budget to bound data sharing and protect privacy in federation."""
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enabled: bool = True
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"""Budgeting for per-signal privacy leakage across federation."""
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enabled: bool
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allowed_signals: List[str] = field(default_factory=list)
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total_budget_units: float = 1.0 # abstract budget units
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total_budget_units: float = 0.0
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per_signal_budget: Dict[str, float] = field(default_factory=dict)
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timestamp: float = field(default_factory=time.time)
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def use(self, signal: str, amount: float) -> None:
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# Simple budgeting semantics: deduct amount from per-signal budget
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current = self.per_signal_budget.get(signal, self.total_budget_units)
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self.per_signal_budget[signal] = max(0.0, current - amount)
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self.timestamp = time.time()
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"""Consume budget for a given signal. Non-existent signals start at 0."""
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current = self.per_signal_budget.get(signal, 0.0)
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new_value = max(0.0, current - amount)
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self.per_signal_budget[signal] = new_value
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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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"PlanDelta",
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"AuditLog",
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"GraphOfContracts",
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"SafetyBudget",
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"PrivacyBudget",
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]
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"""Minimal DSL sketches for EnergiaMesh primitives.
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This module provides placeholder dataclasses that illustrate how the
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contract bridge might declare LocalProblem/SharedVariables/PlanDelta topics.
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from __future__ import annotations
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"""Minimal DSL sketch for LocalProblem/SharedVariables/PlanDelta primitives.
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This is intentionally tiny, serving as a reference mapping from EnergiaMesh
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primitives to a canonical, serializable representation.
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"""
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from dataclasses import dataclass, field
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from typing import Dict, Any
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from dataclasses import dataclass, asdict, field
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from typing import Any, Dict
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@dataclass
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class LocalProblemDSL:
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site_id: str
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objective: str
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variables: Dict[str, Any] = field(default_factory=dict)
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constraints: Dict[str, Any] = field(default_factory=dict)
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def to_dict(self) -> Dict[str, Any]:
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return asdict(self)
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@dataclass
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class SharedVariablesDSL:
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signals: Dict[str, Any] = field(default_factory=dict)
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version: int = 0
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def to_dict(self) -> Dict[str, Any]:
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return {"signals": self.signals}
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@dataclass
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delta_id: str
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updates: Dict[str, Any] = field(default_factory=dict)
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metadata: Dict[str, Any] = field(default_factory=dict)
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timestamp: float | int = 0
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def to_dict(self) -> Dict[str, Any]:
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return {"delta_id": self.delta_id, "updates": self.updates, "metadata": self.metadata, "timestamp": self.timestamp}
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__all__ = ["LocalProblemDSL", "SharedVariablesDSL", "PlanDeltaDSL"]
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Dict, Optional
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@dataclass
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class ContractAdapterInfo:
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name: str
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version: str
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description: str
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endpoints: Dict[str, str] = field(default_factory=dict)
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class GraphOfContractsRegistry:
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"""In-memory registry for versioned contracts and adapters (MVP).
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This is intentionally simple for MVP; a real implementation would persist
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to a database and support crypto-signed contracts.
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"""
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def __init__(self) -> None:
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self.contracts: Dict[str, ContractAdapterInfo] = {}
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def register(self, key: str, info: ContractAdapterInfo) -> None:
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self.contracts[key] = info
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def get(self, key: str) -> Optional[ContractAdapterInfo]:
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return self.contracts.get(key)
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def list_contracts(self) -> Dict[str, ContractAdapterInfo]:
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return dict(self.contracts)
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__all__ = ["GraphOfContractsRegistry", "ContractAdapterInfo"]
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@ -2,15 +2,9 @@ from energiamesh.adapters.der_controller import DERControllerAdapter
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from energiamesh.adapters.weather_station import WeatherStationAdapter
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def test_der_controller_adapter_basic():
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der = DERControllerAdapter(site_id="DER-01")
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assert der.connect() is True
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out = der.dispatch("set_point", {"p": 100})
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assert out["status"] == "ok"
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def test_weather_station_adapter_basic():
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ws = WeatherStationAdapter(station_id="WS-01")
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assert ws.connect() is True
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f = ws.forecast()
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assert "temp_c" in f and "wind_mps" in f
|
||||
def test_adapters_basic():
|
||||
der = DERControllerAdapter("site-1")
|
||||
wst = WeatherStationAdapter("ws-1")
|
||||
assert der.build_initial_state()["site_id"] == "site-1"
|
||||
forecast = wst.read_forecast()
|
||||
assert forecast["station_id"] == "ws-1"
|
||||
|
|
|
|||
|
|
@ -1,37 +1,17 @@
|
|||
import pytest
|
||||
|
||||
from energiamesh.core import LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog, GraphOfContracts
|
||||
import time
|
||||
from energiamesh.core import LocalProblem, SharedVariables, PlanDelta, DualVariables, AuditLog
|
||||
|
||||
|
||||
def test_local_problem_basic():
|
||||
lp = LocalProblem(site_id="SiteA", objective="minimize_cost")
|
||||
assert lp.site_id == "SiteA"
|
||||
assert lp.status == "pending"
|
||||
lp.start()
|
||||
assert lp.status == "running"
|
||||
lp.complete()
|
||||
assert lp.status == "completed"
|
||||
def test_core_dataclasses_simple():
|
||||
lp = LocalProblem(site_id="site-1", problem_id="p1", description="test", data={"a": 1})
|
||||
sv = SharedVariables(signals={"forecast": 10}, version=1)
|
||||
dv = DualVariables(multipliers={"lambda": 0.5}, version=1)
|
||||
pd = PlanDelta(delta={"dx": 1}, metadata={"source": "test"}, timestamp=time.time())
|
||||
log = AuditLog()
|
||||
log.log("created", {"obj": lp.problem_id})
|
||||
|
||||
|
||||
def test_shared_variables_update():
|
||||
sv = SharedVariables()
|
||||
sv.update("forecast", {"temp": 22})
|
||||
assert lp.site_id == "site-1"
|
||||
assert sv.version == 1
|
||||
assert sv.signals["forecast"] == {"temp": 22}
|
||||
|
||||
|
||||
def test_plan_delta_and_dual_variables():
|
||||
pd = PlanDelta(delta_id="d1", updates={"x": 1})
|
||||
dv = DualVariables(multipliers={"p1": 0.5}, primal={"y": 2})
|
||||
assert pd.delta_id == "d1"
|
||||
assert dv.multipliers["p1"] == 0.5
|
||||
|
||||
|
||||
def test_audit_log_and_contract_registry():
|
||||
al = AuditLog()
|
||||
al.add_entry({"event": "start"})
|
||||
assert len(al.entries) == 1
|
||||
|
||||
g = GraphOfContracts()
|
||||
g.register_contract("c1", {"name": "TestContract"})
|
||||
assert g.get_contract("c1")["name"] == "TestContract"
|
||||
assert dv.multipliers["lambda"] == 0.5
|
||||
assert "dx" in pd.delta
|
||||
assert len(log.entries) == 1
|
||||
|
|
|
|||
|
|
@ -0,0 +1,10 @@
|
|||
from energiamesh.registry import GraphOfContractsRegistry, ContractAdapterInfo
|
||||
|
||||
|
||||
def test_registry_basic():
|
||||
reg = GraphOfContractsRegistry()
|
||||
info = ContractAdapterInfo(name="der-adapter", version="0.1", description="stub", endpoints={"/ping": "GET"})
|
||||
reg.register("der-0.1", info)
|
||||
assert reg.get("der-0.1").name == "der-adapter"
|
||||
all_contracts = reg.list_contracts()
|
||||
assert "der-0.1" in all_contracts
|
||||
Loading…
Reference in New Issue