build(agent): molt-z#db0ec5 iteration
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"""CosmosMesh Privacy-Preserving Federated package.
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"""CosmosMesh Privacy-Preserving Federated package.
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Exposes MVP scaffolds for bridging CosmosMesh primitives to a CatOpt-style
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Exposes MVP scaffolds for bridging CosmosMesh primitives to a CatOpt-style
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representation via the catopt_bridge module.
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representation via the catopt_bridge module and a lightweight EnergiBridge
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for canonical interoperability with a CatOpt-like IR.
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"""
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"""
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from .catopt_bridge import CatOptBridge, ContractRegistry, LocalProblem
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from .catopt_bridge import CatOptBridge, ContractRegistry, LocalProblem
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try:
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from .energi_bridge import EnergiBridge, LocalProblemEP # type: ignore
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__all__ = ["CatOptBridge", "ContractRegistry", "LocalProblem", "EnergiBridge", "LocalProblemEP"]
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except Exception:
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# EnergiBridge not yet available; avoid import-time failure for MVPs that
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# import this package before energibridge module is added in a follow-up
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# patch.
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__all__ = ["CatOptBridge", "ContractRegistry", "LocalProblem"]
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__all__ = ["CatOptBridge", "ContractRegistry", "LocalProblem"]
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"""EnergiBridge: Canonical bridge mapping CosmosMesh → CatOpt-like IR (prototype).
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This module provides a minimal, strongly-typed bridge to translate CosmosMesh
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primitives into a vendor-agnostic, CatOpt-inspired intermediate representation
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suitable for plug-in adapters across domains (energy, robotics, space).
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The implementation is intentionally compact and dependency-free, focusing on a
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clean data model and a convenience encoder to a simple IR dictionary that tests
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and adapters can consume.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any, Dict, List, Optional
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# Lightweight per-asset local problem representation for EnergiBridge
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@dataclass
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class LocalProblemEP:
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problem_id: str
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assets: List[str]
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objective: str
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constraints: List[str]
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data_contracts: Optional[Dict[str, Any]] = None
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def to_dict(self) -> Dict[str, Any]:
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return {
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"problem_id": self.problem_id,
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"assets": self.assets,
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"objective": self.objective,
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"constraints": self.constraints,
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"data_contracts": self.data_contracts or {},
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}
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@dataclass
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class SharedVariableEP:
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channel: str
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version: int
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payload: Dict[str, Any]
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def to_dict(self) -> Dict[str, Any]:
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return {
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"channel": self.channel,
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"version": self.version,
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"payload": self.payload,
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}
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@dataclass
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class DualVariableEP:
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channel: str
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version: int
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payload: Dict[str, Any]
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def to_dict(self) -> Dict[str, Any]:
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return {
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"channel": self.channel,
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"version": self.version,
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"payload": self.payload,
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}
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@dataclass
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class PlanDeltaEP:
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delta_id: str
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changes: Dict[str, Any]
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timestamp: Optional[float] = None
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def to_dict(self) -> Dict[str, Any]:
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payload = {
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"delta_id": self.delta_id,
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"changes": self.changes,
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"timestamp": self.timestamp,
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}
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return payload
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@dataclass
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class EnergiBridge:
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"""Encoder that builds a canonical, CatOpt-like IR payload from CosmosMesh
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primitives.
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"""
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def to_ir(self,
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lp: LocalProblemEP,
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shared: List[SharedVariableEP],
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duals: List[DualVariableEP],
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plan_deltas: Optional[List[PlanDeltaEP]] = None) -> Dict[str, Any]:
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ir: Dict[str, Any] = {
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"Version": "0.1",
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"Objects": {
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"LocalProblem": lp.to_dict(),
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},
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}
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morphisms: List[Dict[str, Any]] = []
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for s in shared:
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morphisms.append({"Morphisms": {"SharedVariable": s.to_dict()}})
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for d in duals:
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morphisms.append({"Morphisms": {"DualVariable": d.to_dict()}})
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if morphisms:
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ir["Morphisms"] = morphisms
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if plan_deltas:
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ir.setdefault("Objects", {})["PlanDeltas"] = [pd.to_dict() for pd in plan_deltas]
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return ir
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__all__ = ["LocalProblemEP", "SharedVariableEP", "DualVariableEP", "PlanDeltaEP", "EnergiBridge"]
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@ -0,0 +1,36 @@
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import pytest
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from cosmosmesh_privacy_preserving_federated.energi_bridge import (
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LocalProblemEP,
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SharedVariableEP,
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DualVariableEP,
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PlanDeltaEP,
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EnergiBridge,
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)
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def test_energi_bridge_basic_encoding():
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lp = LocalProblemEP(
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problem_id="lp-001",
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assets=["rover-1", "drone-A"],
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objective="maximize_task_completion",
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constraints=["energy<=1000", "time_window=08:00-12:00"],
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data_contracts={"Telemetry": {"version": 1}},
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)
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sv1 = SharedVariableEP(channel="energy_budget", version=1, payload={"value": 42})
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dv1 = DualVariableEP(channel="lag_energy", version=1, payload={"value": 0.5})
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delta = PlanDeltaEP(delta_id="d-1", changes={"rover-1": {"move_to": "A"}}, timestamp=123456.0)
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bridge = EnergiBridge()
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ir = bridge.to_ir(lp, [sv1], [dv1], [delta])
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# Basic shape checks
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assert ir["Version"] == "0.1"
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assert "Objects" in ir
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assert ir["Objects"]["LocalProblem"]["problem_id"] == "lp-001"
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assert "Morphisms" in ir
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# We expect at least one SharedVariable and one DualVariable in the Morphisms list
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morphs = ir["Morphisms"]
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assert any("SharedVariable" in m.get("Morphisms", {}) for m in morphs) or any("DualVariable" in m.get("Morphisms", {}) for m in morphs)
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assert "PlanDeltas" in ir["Objects"]
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