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| from __future__ import annotations | |
| from dataclasses import dataclass | |
| from typing import Any, Dict, Optional | |
| from openenv.core import EnvClient | |
| try: | |
| from .models import DesignGymAction, DesignGymObservation, DesignGymState | |
| except Exception: | |
| from models import DesignGymAction, DesignGymObservation, DesignGymState | |
| # Local StepResult (since your OpenEnv version doesn't expose it) | |
| class StepResult: | |
| observation: DesignGymObservation | |
| reward: Optional[float] = None | |
| done: bool = False | |
| class DesignGymEnv(EnvClient[DesignGymAction, DesignGymObservation, DesignGymState]): | |
| def _step_payload(self, action: DesignGymAction) -> Dict[str, Any]: | |
| return action.model_dump() | |
| def _parse_result(self, payload: Dict[str, Any]) -> StepResult: | |
| obs_payload = payload.get("observation", payload) | |
| observation = DesignGymObservation(**obs_payload) | |
| return StepResult( | |
| observation=observation, | |
| reward=payload.get("reward", 0.0), | |
| done=payload.get("done", False), | |
| ) | |
| def _parse_state(self, payload: Dict[str, Any]) -> DesignGymState: | |
| return DesignGymState(**payload) |