"""Data Cleaning Env Environment Client.""" from typing import Dict, Optional from openenv.core import EnvClient from openenv.core.client_types import StepResult from openenv.core.env_server.types import State from .models import DataCleaningAction, DataCleaningObservation class DataCleaningEnv( EnvClient[DataCleaningAction, DataCleaningObservation, State] ): """ Client for the Data Cleaning Env Environment. Example: >>> with DataCleaningEnv(base_url="http://localhost:8000") as client: ... result = client.reset() ... obs = result.observation ... print(obs.current_text) ... result = client.step(DataCleaningAction(operation="remove_duplicates")) ... print(result.reward) """ def _step_payload(self, action: DataCleaningAction) -> Dict: """Convert DataCleaningAction to JSON payload.""" payload = {"operation": action.operation} if action.column is not None: payload["column"] = action.column return payload def _parse_result(self, payload: Dict) -> StepResult[DataCleaningObservation]: """Parse server response into StepResult[DataCleaningObservation].""" obs_data = payload.get("observation", {}) # done and reward live at top-level in the server response done = payload.get("done", obs_data.get("done", False)) reward = payload.get("reward", obs_data.get("reward")) observation = DataCleaningObservation( current_text=obs_data.get("current_text", ""), is_normalized=obs_data.get("is_normalized", False), html_found=obs_data.get("html_found", False), remaining_typos=obs_data.get("remaining_typos", 0), done=done, reward=reward, metadata=obs_data.get("metadata", {}), ) return StepResult( observation=observation, reward=reward, done=done, ) def _parse_state(self, payload: Dict) -> State: """Parse server response into State object.""" return State( episode_id=payload.get("episode_id"), step_count=payload.get("step_count", 0), )