build(agent): new-agents-2#7e3bbc iteration
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11
AGENTS.md
11
AGENTS.md
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# CityGrid Agent Architecture
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- This repository contains a production-ready scaffold for CityGrid MVP: a policy-driven federated optimization platform across cross-utility districts.
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- Core primitives implemented in Python: LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock.
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- Registry and bridge stubs: GoCRegistry, EnergiaBridge for adapter interoperability.
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- MVP wiring: 2 starter adapters with a lightweight ADMM-like delta-sync workflow.
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- Build and test: includes a test.sh script that runs unit tests and python packaging sanity checks.
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Contributing
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- Run tests with: ./test.sh
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- Packaging: python3 -m build, install via pip if needed.
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- Follow the existing architectural contracts described in this file; future work expands to a multi-agent, cross-domain MVP.
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- Objective: Build a policy-driven, privacy-preserving federated optimization platform for cross-utility districts.
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- Core primitives (Canonical IR): LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock.
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- Graph-of-Contracts registry (GoC): versioned schemas for adapters and data contracts; conformance tests.
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34
README.md
34
README.md
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# CityGrid
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# CityGrid MVP Scaffold
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Policy-driven Federated Optimization for Cross-Utility Districts (Electricity, Heating/Cooling, Water).
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CityGrid provides a policy-driven federated optimization platform scaffold for cross-utility districts (electricity, heating/cooling, water).
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Overview
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- Core primitives: LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock.
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- GoC registry for adapters and data contracts (versioned schemas).
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- Lightweight EnergiBridge to translate adapter payloads to the canonical IR used by a tiny ADMM-lite solver.
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- MVP adapters: DER controller and water-pump controller to bootstrap cross-domain interop.
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- Lightweight registry and bridge: GoCRegistry and EnergiaBridge for adapter interoperability.
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- MVP wiring: 2 starter adapters using a minimal ADMM-lite solver and delta-sync transport.
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- Security: placeholders for DID-based identities, secure aggregation, and auditable logs.
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Project structure
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- citygrid/__init__.py: core dataclasses and public API surface.
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- citygrid/registry/: in-memory Graph-of-Contracts registry.
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- citygrid/bridge/: EnergiBridge for primitive mapping.
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- citygrid/solver/: lightweight ADMM-like solver for MVP.
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- citygrid/adapters/: toy adapters (DER, water pump).
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- citygrid/demo/: small demo harness.
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- AGENTS.md: architectural rules and testing guidance.
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- pyproject.toml: packaging metadata.
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Getting started
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- Install locally: python3 -m pip install -e .
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- Run tests: ./test.sh
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- Basic usage: from citygrid import LocalProblem, EnergiaBridge
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How to run (local development)
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- Ensure Python 3.8+ is installed.
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- Install dependencies and run tests:
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- python -m pip install -e .
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- pytest -q
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- python -m build
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- Run the demo: python -m citygrid.demo.core_demo
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This repository intentionally provides a compact, extensible MVP to bootstrap the CityGrid ecosystem. Future work includes richer DSLs for policy-to-constraint translation, a full TLS transport layer, secure aggregation, and HIL validation hooks.
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This is a production-ready scaffold designed to be extended into a full runtime over multiple sprints.
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"""CityGrid: Lightweight, production-ready MVP for policy-driven federated optimization across cross-utility districts.
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"""CityGrid: Policy-Driven Federated Optimization scaffold
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This package provides core primitives, a minimal Graph-of-Contracts (GoC) registry, a lightweight
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EnergiaBridge for interoperability, and two toy adapters to bootstrap a 2-domain MVP (DER and water pumps).
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This package provides a minimal, production-ready scaffold that captures
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the canonical primitives described in the CityGrid MVP plan. It is designed
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to be extended into a full cross-domain federated optimization runtime.
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"""
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from __future__ import annotations
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from .core import LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock
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from .bridge import EnergiaBridge
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from .registry import GoCRegistry
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from dataclasses import dataclass
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from typing import Any, Dict, List
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__version__ = "0.1.0"
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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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objective: Dict[str, Any]
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constraints: Dict[str, Any]
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solver_hint: Dict[str, Any] | None = 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]
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priors: Dict[str, Any] | None = None
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@dataclass
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class DualVariables:
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multipliers: Dict[str, float]
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@dataclass
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class PlanDelta:
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delta: Dict[str, Any]
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timestamp: float
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author: str
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contract_id: str
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signature: str | None = None
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@dataclass
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class PrivacyBudget:
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signal: str
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budget: float
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expiry: float | None = None
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@dataclass
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class AuditLog:
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entry: str
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signer: str
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timestamp: float
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contract_id: str
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version: str
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@dataclass
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class PolicyBlock:
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safety: Dict[str, Any]
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exposure_rules: Dict[str, Any]
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__version__ = "0.0.0"
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__all__ = [
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"__version__",
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"LocalProblem",
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"SharedVariables",
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"DualVariables",
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@ -66,10 +19,6 @@ __all__ = [
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"PrivacyBudget",
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"AuditLog",
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"PolicyBlock",
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# Policy DSL utilities
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"policy_to_constraints",
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"PolicyDSL",
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"EnergiaBridge",
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"GoCRegistry",
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]
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# Lightweight policy-to-constraint utilities (DSL sketch)
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from .policy.dsl import policy_to_constraints, PolicyDSL # noqa: E402,F401
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from dataclasses import dataclass
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from typing import Dict, Any
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from .core import LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog
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@dataclass
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class EnergiaBridge:
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"""Lightweight interoperability bridge placeholder.
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Maps internal CityGrid canonical primitives to a vendor-agnostic
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representation and exposes a minimal transport surface for adapters.
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"""
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registry: object # reference to a registry instance (e.g., GoCRegistry)
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def to_external_message(self, local: LocalProblem) -> Dict[str, Any]:
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# Minimal mapping example
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return {
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"type": "LocalProblem",
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"id": local.id,
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"domain": local.domain,
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"assets": local.assets,
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"objective": local.objective,
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}
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def from_external_message(self, payload: Dict[str, Any]) -> LocalProblem:
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# Basic reconstruction (for demonstration)
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return LocalProblem(
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id=payload.get("id", "unknown"),
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domain=payload.get("domain", "unknown"),
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assets=payload.get("assets", []),
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objective=payload.get("objective", {}),
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)
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"""EnergiaBridge: minimal bridge translation layer between canonical CityGrid IR and adapters."""
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# Primary bridge implementation (canonical Vert: EnergiBridge)
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from .energi_bridge import EnergiBridge
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__all__ = ["EnergiBridge"]
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# Compatibility alias: some callers expect 'EnergiaBridge' spelling
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EnergiaBridge = EnergiBridge
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__all__ = ["EnergiBridge", "EnergiaBridge"]
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class EnergiBridge:
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def __init__(self, registry=None):
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# Optional registry for adapters; kept for compatibility with tests
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self.registry = registry
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"""Lightweight bridge translating between adapters and the canonical IR.
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This is intentionally small: it provides two helpers to map between a
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@staticmethod
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def from_canonical(shared: SharedVariables) -> Dict[str, Any]:
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return {"version": shared.version, "signals": shared.signals}
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# Compatibility helper: translate a canonical LocalProblem into an external message
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def to_external_message(self, local_problem: LocalProblem) -> Dict[str, Any]:
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return {
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"type": "LocalProblem",
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"id": local_problem.id,
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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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@dataclass
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class LocalProblem:
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id: str
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domain: str # e.g., "electric", "water", "thermal"
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assets: List[str]
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objective: Dict[str, Any] # simple objective description, can be expanded
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constraints: List[Dict[str, Any]] = field(default_factory=list)
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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] # e.g., forecasts, priors
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@dataclass
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class DualVariables:
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multipliers: Dict[str, float]
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@dataclass
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class PlanDelta:
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delta: Dict[str, Any]
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timestamp: float
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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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@dataclass
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class PrivacyBudget:
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signal: str
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budget: float
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expiry: Optional[float] = None
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@dataclass
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class AuditLog:
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entry: str
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signer: str
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timestamp: float
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contract_id: str
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version: int
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@dataclass
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class PolicyBlock:
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safety: Dict[str, Any] = None
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exposure_rules: Dict[str, Any] = None
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from dataclasses import dataclass
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from typing import Dict, List
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@dataclass
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class GoCRegistryEntry:
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adapter_id: str
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supported_domains: List[str]
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contract_version: str
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class GoCRegistry:
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"""Lightweight in-memory Graph-of-Contracts registry stub."""
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def __init__(self) -> None:
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self._registry: Dict[str, GoCRegistryEntry] = {}
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def register(self, entry: GoCRegistryEntry) -> None:
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self._registry[entry.adapter_id] = entry
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def get(self, adapter_id: str) -> GoCRegistryEntry:
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return self._registry[adapter_id]
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def list_all(self) -> List[GoCRegistryEntry]:
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return list(self._registry.values())
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# Lightweight import path bootstrap for CI environments
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# Ensures the repository root is on sys.path early enough for imports
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import sys
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import os
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# Compute repository root based on this file's location when possible
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_repo_root = os.path.abspath(os.path.dirname(__file__))
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if _repo_root not in sys.path:
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sys.path.insert(0, _repo_root)
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from citygrid.bridge import EnergiaBridge
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from citygrid.core import LocalProblem
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def test_bridge_to_external_message_roundtrip():
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bridge = EnergiaBridge(registry=None)
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lp = LocalProblem(id="LP1", domain="electric", assets=["b1"], objective={"minimize": "cost"})
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msg = bridge.to_external_message(lp)
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assert msg["type"] == "LocalProblem"
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assert msg["id"] == "LP1"
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import pytest
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from citygrid.core import LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock
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def test_local_problem_dataclass():
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lp = LocalProblem(id="LP1", domain="electric", assets=["b1"], objective={"minimize": "cost"})
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assert lp.id == "LP1"
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assert lp.domain == "electric"
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assert lp.assets == ["b1"]
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def test_shared_variables_dataclass():
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sv = SharedVariables(version=1, signals={"load": 42})
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assert sv.version == 1
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assert sv.signals["load"] == 42
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def test_dual_variables_dataclass():
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dv = DualVariables(multipliers={"x": 0.1})
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assert dv.multipliers["x"] == 0.1
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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 = "citygrid"
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version = "0.1.0"
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description = "Policy-driven federated optimization for cross-utility districts (CityGrid 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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[tool.setuptools.packages.find]
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where = ["citygrid"]
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[tool.setuptools.dynamic]
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version = { attr = "citygrid.__version__" }
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from setuptools import setup, find_packages
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setup(
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name="citygrid",
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version="0.1.0",
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description="Policy-driven federated optimization scaffold for cross-utility districts",
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packages=find_packages(exclude=("tests", "test")),
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include_package_data=True,
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python_requires='>=3.8',
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install_requires=[],
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long_description="CityGrid MVP scaffold implementing LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, and a lightweight EnergiBridge for cross-domain adapters.",
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)
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#!/usr/bin/env bash
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set -euo pipefail
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echo "Running CityGrid test suite..."
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export PYTHONPATH="${PYTHONPATH:+$PYTHONPATH:}$PWD"
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python3 -m pip install -e .
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echo "Running CityGrid tests..."
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export PYTHONPATH="${PYTHONPATH:+$PYTHONPATH:}/workspace/repo"
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pytest -q
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echo "Building package to validate packaging metadata..."
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echo "Building Python package (for packaging sanity check)..."
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python3 -m build
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echo "Tests completed successfully."
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echo "All tests passed and package built."
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This directory is reserved for tests of CityGrid primitives. Implement tests as pytest modules under citygrid/tests.
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