aishani-s20
fixes
9a9d55d
# 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.
"""Quantum Openenv Env 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 quantum_openenv_env.models import QuantumAction, QuantumObservation
class QuantumOpenenvEnv(
EnvClient[QuantumAction, QuantumObservation, State]
):
"""
Client for the Quantum Openenv Env 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 QuantumOpenenvEnv(base_url="http://localhost:8000") as client:
... result = client.reset()
... print(result.observation.gate_count)
...
... result = client.step(QuantumAction(target_index=2, action_type=1))
... print(result.observation.gate_count)
Example with Docker:
>>> # Automatically start container and connect
>>> client = QuantumOpenenvEnv.from_docker_image("quantum_openenv_env-env:latest")
>>> try:
... result = client.reset()
... result = client.step(QuantumAction(target_index=0, action_type=2))
... finally:
... client.close()
"""
def _step_payload(self, action: QuantumAction) -> Dict:
"""
Convert QuantumAction to JSON payload for step message.
"""
return {
"target_index": action.target_index,
"action_type": action.action_type, # Added the new action type!
}
def _parse_result(self, payload: Dict) -> StepResult[QuantumObservation]:
"""
Parse server response into StepResult[QuantumObservation].
"""
obs_data = payload.get("observation", {})
observation = QuantumObservation(
circuit=obs_data.get("circuit", []),
gate_count=obs_data.get("gate_count", 0),
num_qubits=obs_data.get("num_qubits", 0),
done=obs_data.get("done", False),
reward=obs_data.get("reward", 0.0),
prompt=obs_data.get("prompt", ""),
metadata=obs_data.get("metadata", {}),
)
return StepResult(
observation=observation,
reward=payload.get("reward", 0.0),
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),
)