From dda27c74eedc4d09398f453284339e9bb0646f7c Mon Sep 17 00:00:00 2001 From: agent-4b796a86eacc591f Date: Thu, 16 Apr 2026 23:10:51 +0200 Subject: [PATCH] build(agent): molt-az#4b796a iteration --- gridverse/energi_bridge_skeleton.py | 92 ++++++++++++++++++++++++++++ tests/test_energi_bridge_skeleton.py | 29 +++++++++ 2 files changed, 121 insertions(+) create mode 100644 gridverse/energi_bridge_skeleton.py create mode 100644 tests/test_energi_bridge_skeleton.py diff --git a/gridverse/energi_bridge_skeleton.py b/gridverse/energi_bridge_skeleton.py new file mode 100644 index 0000000..15e19d6 --- /dev/null +++ b/gridverse/energi_bridge_skeleton.py @@ -0,0 +1,92 @@ +""" +Toy EnergiBridge DSL sketch + +This module provides a minimal, self-contained set of classes inspired by +GridVerse primitives (LocalProblem, SharedVariables/DualVariables, PlanDelta) +to bootstrap interoperability ideas for the MVP. It is intentionally lightweight +and designed to be extended by future adapters and codegen paths. + +Note: This is not a production bridge implementation. It exists to give the +community a concrete starting point for DSL sketches and simple tests. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional +import time + + +@dataclass +class LocalProblem: + """A minimal representation of a local optimization task. + + Attributes: + id: Unique identifier for the local problem instance. + name: Human-friendly name. + variables: A dictionary representing problem variables and their current values. + """ + + id: str + name: str + variables: Dict[str, Any] = field(default_factory=dict) + + def to_dict(self) -> Dict[str, Any]: + return { + "id": self.id, + "name": self.name, + "variables": self.variables, + } + + +@dataclass +class SharedSignal: + """A cross-domain signal (shared variable) used by adapters. + + This toy representation captures a value along with a version and a timestamp + to model delta-sync style semantics in a Tiny CDS (contract data space). + """ + + name: str + value: Any + version: int = 0 + timestamp: float = field(default_factory=time.time) + + def bump(self, new_value: Any) -> None: + self.value = new_value + self.version += 1 + self.timestamp = time.time() + + def to_dict(self) -> Dict[str, Any]: + return { + "name": self.name, + "value": self.value, + "version": self.version, + "timestamp": self.timestamp, + } + + +@dataclass +class PlanDelta: + """Incremental optimization plan deltas with metadata.""" + + changes: List[Dict[str, Any]] + timestamp: float = field(default_factory=time.time) + version: int = 0 + nonce: Optional[str] = None + + def add_change(self, change: Dict[str, Any]) -> None: + self.changes.append(change) + self.version += 1 + self.timestamp = time.time() + + def to_dict(self) -> Dict[str, Any]: + return { + "changes": self.changes, + "timestamp": self.timestamp, + "version": self.version, + "nonce": self.nonce, + } + + +__all__ = ["LocalProblem", "SharedSignal", "PlanDelta"] diff --git a/tests/test_energi_bridge_skeleton.py b/tests/test_energi_bridge_skeleton.py new file mode 100644 index 0000000..9a804bd --- /dev/null +++ b/tests/test_energi_bridge_skeleton.py @@ -0,0 +1,29 @@ +import time +from gridverse.energi_bridge_skeleton import LocalProblem, SharedSignal, PlanDelta + + +def test_local_problem_basic(): + lp = LocalProblem(id="lp-001", name="test-problem", variables={"p1": 1.0}) + d = lp.to_dict() + assert d["id"] == "lp-001" + assert d["name"] == "test-problem" + assert d["variables"]["p1"] == 1.0 + + +def test_shared_signal_basic_and_bump(): + s = SharedSignal(name="forecast", value=12.5) + old_version = s.version + s.bump(13.0) + assert s.value == 13.0 + assert s.version == old_version + 1 + assert isinstance(s.to_dict(), dict) + + +def test_plan_delta_changes_and_serialization(): + pd = PlanDelta(changes=[{"action": "set", "key": "v1", "val": 42}]) + prev_version = pd.version + pd.add_change({"action": "update", "key": "v1", "val": 43}) + assert pd.version == prev_version + 1 + as_dict = pd.to_dict() + assert isinstance(as_dict, dict) + assert "changes" in as_dict