app / client.py
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"""App Environment Client."""
from typing import Dict
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from .models import AppAction, AppObservation, AppState
class AppEnv(EnvClient[AppAction, AppObservation, AppState]):
def _step_payload(self, action: AppAction) -> Dict:
return {
"placement": action.placement,
"isSegmentation": action.isSegmentation,
"findObjects": action.findObjects,
"adjust": action.adjust,
}
def _parse_result(self, payload: Dict) -> StepResult[AppObservation]:
obs_data = payload.get("observation", {})
observation = AppObservation(
currentGrid=obs_data.get("currentGrid", []),
positions=obs_data.get("positions", {}),
objectsLeft=obs_data.get("objectsLeft", []),
objectsFound=obs_data.get("objectsFound", []),
reward=obs_data.get("reward", 0.0),
isDone=obs_data.get("isDone", False),
rewardFeedback=obs_data.get("rewardFeedback", []),
rewardList=obs_data.get("rewardList", []),
numberPlaced=obs_data.get("numberPlaced", 0),
ObjectsPlaced=obs_data.get("ObjectsPlaced", {}),
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", obs_data.get("isDone", False)),
)
def _parse_state(self, payload: Dict) -> AppState:
return AppState(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
currentGrid=payload.get("currentGrid", []),
weightedGrid=payload.get("weightedGrid", []),
reward=payload.get("reward", 0.0),
isDone=payload.get("isDone", False),
objectsLeft=payload.get("objectsLeft", []),
objectsFound=payload.get("objectsFound", []),
ObjectsPresent=payload.get("ObjectsPresent", {}),
rewardFeedback=payload.get("rewardFeedback", []),
rewardList=payload.get("rewardList", []),
numberPlaced=payload.get("numberPlaced", 0),
ObjectsPlaced=payload.get("ObjectsPlaced", {}),
)