# 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 Debug 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 models import RAGDebugAction, RAGDebugObservation class RAGDebugEnv( EnvClient[RAGDebugAction, RAGDebugObservation, State] ): """ Client for the Rag Debug 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 RagDebugEnv(base_url="http://localhost:8000") as client: ... result = client.reset() ... print(result.observation.task_description) ... ... result = client.step(RAGDebugAction(action_type="adjust_chunk_size", params={"value": 1024})) ... print(result.observation.metrics) Example with Docker: >>> # Automatically start container and connect >>> client = RagDebugEnv.from_docker_image("rag_debug_env-env:latest") >>> try: ... result = client.reset() ... result = client.step(RAGDebugAction(action_type="adjust_chunk_size", params={"value": 1024})) ... finally: ... client.close() """ def _step_payload(self, action: RAGDebugAction) -> Dict: """ Convert RAGDebugAction to JSON payload for step message. Args: action: RAGDebugAction instance Returns: Dictionary representation suitable for JSON encoding """ return action.model_dump(mode='json') def _parse_result(self, payload: Dict) -> StepResult[RAGDebugObservation]: """ Parse server response into StepResult[RAGDebugObservation]. Args: payload: JSON response data from server Returns: StepResult with RAGDebugObservation """ obs_data = payload.get("observation", {}) observation = RAGDebugObservation(**obs_data) 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), )