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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Agent Swarm Playbook: AlgeIoT MVP
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Overview
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- This repository implements a production-ready Python MVP of AlgeIoT: Algebraic Orchestration for Distributed IoT Resource Markets (Edge City Edition).
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- It focuses on canonical primitives, a lightweight ADMM-lite coordinator, and two starter adapters with a minimal contract registry.
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Tech Stack
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- Language: Python 3.11+
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- Core: asyncio-based ADMM coordinator, dataclass primitives, simple TLS-style transport (stubbed in this MVP)
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- Adapters: Python modules simulating StreetLightController and EVChargingAggregator
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- Testing: pytest
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- Packaging: pyproject.toml with setuptools
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Commands / Tests
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- Run tests: ./test.sh
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- Build package: python -m build
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- Linting (optional): just run pytest and mypy/flake8 if desired in future
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Contribution Rules
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- Changes should be small, correct, and well-scoped
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- Tests must pass before publishing
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- No backward-incompatible API changes without explicit user request
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- Use the provided primitives and contracts; avoid re-deriving global models
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Development Guidelines
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- Prefer minimal, well-documented APIs for adapters
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- Ensure deterministic reconciliation on reconnects in ADMM-lite
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- Use versioned schemas for LocalProblem, SharedSignals, PlanDelta
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20
README.md
20
README.md
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# idea98-algeiot-algebraic-orchestration
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# AlgeIoT: Algebraic Orchestration for Distributed IoT Resource Markets (Edge City Edition)
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Source logic for Idea #98
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This repository implements a production-oriented MVP for AlgeIoT, a CatOpt-inspired orchestration stack for city-scale IoT coordination.
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Contents
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- Core primitives: LocalDevicePlan, SharedSignal, PlanDelta, DualVariables, etc.
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- Lightweight ADMM-lite coordinator (asynchronous, fault-tolerant)
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- Two starter adapters: StreetLightController and EVChargingAggregator
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- A tiny registry to map adapters to canonical contracts
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- Simulation scaffolding and a basic test suite
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Architecture and design decisions are documented in AGENTS.md. This README gives a quick launch path and how to extend the MVP.
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Getting Started
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- Install dependencies and build: see test.sh for a quick validation loop
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- Run tests: ./test.sh
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- Extend adapters under idea98_algeiot_algebraic_orchestration.adapters
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Note: This is a production-oriented MVP. The codebase focuses on well-scoped, robust components with clear interfaces and tests.
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Advanced MVP Roadmap and Architecture (for internal contributors)
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- Local primitives: LocalDevicePlan, SharedSignal, PlanDelta, DualVariables
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- ADMM-lite coordinator: Async, deterministic on reconnects
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- Adapters: StreetLightAdapter, EVChargingAdapter
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- Contract registry: minimal, extensible
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- Transport: TLS-simulated
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- Global constraints: plug-in layer (not yet implemented in this MVP)
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- Simulation: CitySimulator (placeholder for Gazebo/ROS integration)
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This file is for internal planning only.
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[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "idea98_algeiot_algebraic_orchestration"
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version = "0.1.0"
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description = "AlgeIoT MVP: Algebraic Orchestration for Distributed IoT Resource Markets (Edge City Edition)"
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readme = "README.md"
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requires-python = ">=3.11"
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license = {text = "MIT"}
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[tool.setuptools]
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include-package-data = true
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zip-safe = false
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[tool.setuptools.packages.find]
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where = ["src"]
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include = ["idea98_algeiot_algebraic_orchestration", "idea98_algeiot_algebraic_orchestration.*"]
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This is a backup placeholder to avoid accidental deletion during iterative edits.
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"""Idea98 AlgeIoT - Algebraic Orchestration MVP package initializer"""
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from .primitives import LocalDevicePlan, SharedSignal, PlanDelta, DualVariables
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__all__ = [
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"LocalDevicePlan",
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"SharedSignal",
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"PlanDelta",
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"DualVariables",
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]
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"""Adapter package for AlgeIoT MVP"""
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from __future__ import annotations
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from dataclasses import dataclass
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@dataclass
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class EVChargingConfig:
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id: str
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max_power_kw: float
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class EVChargingAdapter:
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def __init__(self, config: EVChargingConfig):
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self.config = config
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self.allocations = {}
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def consume_plan_delta(self, delta: dict) -> None:
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# Simple placeholder: accept delta and update internal allocations
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self.allocations.update(delta.get("allocations", {}))
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from __future__ import annotations
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from dataclasses import dataclass
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@dataclass
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class StreetLightConfig:
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id: str
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max_intensity: float
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class StreetLightAdapter:
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def __init__(self, config: StreetLightConfig):
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self.config = config
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self.state = {"intensity": 0.0}
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def generate_local_problem(self, problem_id: str) -> dict:
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# Minimal LocalDevicePlan-like structure
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return {
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"id": problem_id,
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"venue": self.config.id,
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"assets": ["lighting"],
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"objective": "minimize_energy",
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"latency_budget": 1.0,
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"max_exposure": 0.5,
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}
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from __future__ import annotations
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import asyncio
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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 Message:
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sender: str
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payload: Any
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class AsyncADMMCoordinator:
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def __init__(self):
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self.queues: Dict[str, asyncio.Queue] = {}
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self.states: Dict[str, Dict[str, Any]] = {}
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def register_node(self, node_id: str) -> None:
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if node_id not in self.queues:
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self.queues[node_id] = asyncio.Queue()
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self.states[node_id] = {}
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async def send(self, recipient: str, payload: Any) -> None:
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if recipient in self.queues:
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await self.queues[recipient].put(Message(sender="coordinator", payload=payload))
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async def receive(self, node_id: str) -> Message | None:
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if node_id in self.queues:
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msg = await self.queues[node_id].get()
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return msg
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return None
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async def run_iteration(self) -> None:
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# Lightweight placeholder: no global solving here. Real implementation would update duals and plan deltas.
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await asyncio.sleep(0.01)
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from __future__ import annotations
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def hello() -> str:
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return "AlgeIoT MVP API"
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from __future__ import annotations
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class TLSTransportStub:
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"""A tiny in-process transport placeholder to simulate a TLS-like channel."""
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def __init__(self):
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self.buffer = []
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def send(self, data: bytes) -> None:
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self.buffer.append(data)
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def receive(self) -> bytes | None:
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if not self.buffer:
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return None
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return self.buffer.pop(0)
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Dict
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@dataclass
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class ContractSpec:
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contract_id: str
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description: str
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version: str
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# Lightweight contract surface for adapters to implement
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class Registry:
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def __init__(self) -> None:
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self._contracts: Dict[str, ContractSpec] = {}
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def register(self, spec: ContractSpec) -> None:
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self._contracts[spec.contract_id] = spec
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def get(self, contract_id: str) -> ContractSpec | None:
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return self._contracts.get(contract_id)
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def all(self):
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return list(self._contracts.values())
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import List, Optional
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import datetime
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@dataclass(frozen=True)
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class LocalDevicePlan:
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id: str
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venue: str
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asset_ids: List[str]
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objective: str # e.g., 'minimize_slippage'
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latency_budget: float
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max_exposure: float
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timestamp: str = field(default_factory=lambda: datetime.datetime.utcnow().isoformat())
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@dataclass(frozen=True)
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class SharedSignal:
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version: int
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from_asset: str
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to_asset: str
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data_summary: str # lightweight contract/summary
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contract_id: str
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@dataclass(frozen=True)
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class PlanDelta:
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delta_actions: tuple # of (from_venue, to_venue, asset, size, time)
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timestamp: datetime.datetime
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contract_id: str
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signatures: tuple = ()
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@dataclass(frozen=True)
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class DualVariables:
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shadow_prices: dict
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version: int
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@dataclass
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class AuditLog:
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entries: List[str] = field(default_factory=list)
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@dataclass
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class PrivacyBudget:
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limit: float
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used: float = 0.0
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from __future__ import annotations
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import asyncio
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class CitySimulator:
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def __init__(self):
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self.running = False
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async def run(self):
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self.running = True
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while self.running:
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await asyncio.sleep(0.1)
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def stop(self):
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self.running = False
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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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pip install -e .
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echo "Running pytest..."
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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 package built."
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import json
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from idea98_algeiot_algebraic_orchestration.primitives import LocalDevicePlan, PlanDelta, DualVariables
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def test_primitives_serialization_roundtrip():
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plan = LocalDevicePlan(
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id="ldp-1",
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venue="downtown",
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asset_ids=["lighting-1", "sensor-2"],
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objective="minimize_energy",
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latency_budget=1.0,
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max_exposure=0.5,
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)
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s = json.dumps(plan.__dict__, default=lambda o: o.__dict__)
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assert isinstance(s, str)
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delta = PlanDelta(delta_actions=(("venueA","venueB","assetX", 10, "now"),), timestamp=None, contract_id="c1")
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assert delta.contract_id == "c1"
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def test_dual_variables_basic():
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dv = DualVariables(shadow_prices={"energy": 0.5, "latency": 0.2}, version=1)
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assert dv.shadow_prices["energy"] == 0.5
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