Spaces:
Sleeping
Sleeping
File size: 1,660 Bytes
7bdbe90 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | # 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.
"""Scheduling Environment Client."""
from __future__ import annotations
from typing import Dict
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from .models import SchedulingAction, SchedulingObservation, SchedulingState
class SchedulingEnv(
EnvClient[SchedulingAction, SchedulingObservation, SchedulingState]
):
"""Client for the Meeting Scheduling RL Environment.
Maintains a persistent WebSocket connection to the environment server.
Example::
with SchedulingEnv(base_url="http://localhost:8000") as client:
result = client.reset(task_id="task1_easy")
obs = result.observation
result = client.step(SchedulingAction(
action_type="propose_slot",
proposed_start="2025-04-07T10:00:00+00:00",
proposed_duration=30,
))
"""
def _step_payload(self, action: SchedulingAction) -> Dict:
return action.model_dump(exclude_none=True)
def _parse_result(self, payload: Dict) -> StepResult[SchedulingObservation]:
obs_data = payload.get("observation", payload)
observation = SchedulingObservation(**obs_data)
return StepResult(
observation=observation,
reward=observation.reward,
done=observation.done,
)
def _parse_state(self, payload: Dict) -> SchedulingState:
return SchedulingState(**payload)
|