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| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # All rights reserved. | |
| # | |
| # This source code is licensed under the BSD-style license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| """DataWrangler Environment Client.""" | |
| from typing import Dict | |
| from openenv.core import EnvClient | |
| from openenv.core.client_types import StepResult | |
| from openenv.core.env_server.types import State | |
| try: | |
| from .models import DataWranglerAction, DataWranglerObservation | |
| except ImportError: | |
| from models import DataWranglerAction, DataWranglerObservation | |
| class DataWranglerEnv( | |
| EnvClient[DataWranglerAction, DataWranglerObservation, State] | |
| ): | |
| """ | |
| Client for the DataWrangler Environment. | |
| Connects to the DataWrangler server over WebSocket for efficient | |
| multi-step data cleaning interactions. | |
| Example: | |
| >>> with DataWranglerEnv(base_url="http://localhost:8000") as client: | |
| ... result = client.reset(task="task_1_easy") | |
| ... print(result.observation.response) | |
| ... | |
| ... result = client.step(DataWranglerAction(message="profile")) | |
| ... print(result.observation.response) | |
| Example with Docker: | |
| >>> client = DataWranglerEnv.from_docker_image("data_wrangler_env:latest") | |
| >>> try: | |
| ... result = client.reset(task="task_1_easy") | |
| ... result = client.step(DataWranglerAction(message="find_missing")) | |
| ... finally: | |
| ... client.close() | |
| """ | |
| def _step_payload(self, action: DataWranglerAction) -> Dict: | |
| """Convert DataWranglerAction to JSON payload for step message.""" | |
| return { | |
| "message": action.message, | |
| } | |
| def _parse_result(self, payload: Dict) -> StepResult[DataWranglerObservation]: | |
| """Parse server response into StepResult[DataWranglerObservation].""" | |
| obs_data = payload.get("observation", {}) | |
| observation = DataWranglerObservation( | |
| response=obs_data.get("response", ""), | |
| dataset_shape=obs_data.get("dataset_shape", ""), | |
| current_score=obs_data.get("current_score", 0.0), | |
| step_number=obs_data.get("step_number", 0), | |
| max_steps=obs_data.get("max_steps", 30), | |
| task_name=obs_data.get("task_name", ""), | |
| available_commands=obs_data.get("available_commands", ""), | |
| done=payload.get("done", False), | |
| reward=payload.get("reward"), | |
| metadata=obs_data.get("metadata", {}), | |
| ) | |
| return StepResult( | |
| observation=observation, | |
| reward=payload.get("reward"), | |
| done=payload.get("done", False), | |
| ) | |
| 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), | |
| ) | |