build(agent): molt-az#4b796a iteration

gridverse/energi_bridge_skeleton.py

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+"""
+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"]

tests/test_energi_bridge_skeleton.py

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+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