data-wrangler-env / client.py
KnightBlade's picture
Align inference script with validator env vars and strict stdout format
b15226e
# 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.
"""Data Wrangler 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
from .models import DataWranglerAction, DataWranglerObservation
class DataWranglerEnv(
EnvClient[DataWranglerAction, DataWranglerObservation, State]
):
"""
Client for the Data Wrangler Environment.
This client maintains a persistent WebSocket connection to the environment server,
enabling efficient multi-step interactions with lower latency.
Each client instance has its own dedicated environment session on the server.
Example:
>>> # Connect to a running server
>>> with DataWranglerEnv(base_url="http://localhost:8000") as client:
... result = client.reset()
... print(result.observation.echoed_message)
...
... result = client.step(DataWranglerAction(message="Hello!"))
... print(result.observation.echoed_message)
Example with Docker:
>>> # Automatically start container and connect
>>> client = DataWranglerEnv.from_docker_image("data_wrangler-env:latest")
>>> try:
... result = client.reset()
... result = client.step(DataWranglerAction(message="Test"))
... finally:
... client.close()
"""
def _step_payload(self, action: DataWranglerAction) -> Dict:
"""
Convert DataWranglerAction to JSON payload for step message.
Args:
action: DataWranglerAction instance
Returns:
Dictionary representation suitable for JSON encoding
"""
return action.model_dump(mode="json", exclude_none=True)
def _parse_result(self, payload: Dict) -> StepResult[DataWranglerObservation]:
"""
Parse server response into StepResult[DataWranglerObservation].
Args:
payload: JSON response data from server
Returns:
StepResult with DataWranglerObservation
"""
obs_data = payload.get("observation", {})
observation = DataWranglerObservation(
columns=obs_data.get("columns", []),
row_count=obs_data.get("row_count", 0),
column_stats=obs_data.get("column_stats", {}),
last_action_feedback=obs_data.get("last_action_feedback", ""),
is_done=obs_data.get("is_done", payload.get("done", False)),
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.
Args:
payload: JSON response from state request
Returns:
State object with episode_id and step_count
"""
return State(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
)