"""Minimal Rover adapter scaffold for CatOpt-Graph MVP.

Provides a tiny interface to read state and expose local problem data,
plus apply commands. This is intentionally small for the MVP and to be
used as a reference adapter for downstream integration.
"""

from __future__ import annotations

from typing import Any, Dict


class RoverPlannerAdapter:
    def __init__(self) -> None:
        pass

    def readState(self) -> Dict[str, Any]:
        # Placeholder: return a minimal mocked rover state
        return {"status": "idle", "position": {"x": 0.0, "y": 0.0}}

    def exposeLocalProblemData(self) -> Dict[str, Any]:
        # Placeholder LocalProblem data in a canonical-ish form
        return {
            "id": "rover-01",
            "domain": "robotics",
            "objective": {"minimize": "energy"},
            "variables": {"speed": 0.0},
        }

    def applyCommand(self, command: Dict[str, Any]) -> Dict[str, Any]:
        # Echo the command for MVP purposes
        return {"applied": command}