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bd468ee | 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 53 54 55 56 57 | # 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.
"""Rag Optimizer 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 RagOptimizerAction, RagOptimizerObservation
class RagOptimizerEnvClient(EnvClient[RagOptimizerAction, RagOptimizerObservation, State]):
"""
Client for the Rag Optimizer Environment.
Translates local Pydantic objects to JSON for the OpenEnv WebSocket.
"""
def _step_payload(self, action: RagOptimizerAction) -> Dict:
"""Convert RagOptimizerAction to JSON payload."""
return {
"action_type": action.action_type,
"doc_id": action.doc_id,
"text": action.text,
"metadata_key": action.metadata_key,
"metadata_value": action.metadata_value,
}
def _parse_result(self, payload: Dict) -> StepResult[RagOptimizerObservation]:
"""Parse server response back into RagOptimizerObservation."""
obs_data = payload.get("observation", {})
observation = RagOptimizerObservation(
message=obs_data.get("message", ""),
current_docs=obs_data.get("current_docs", {}),
done=payload.get("done", False),
reward=payload.get("reward", 0.0),
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 the hidden tracking state."""
return State(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
)
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