# 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. """Code Output Assessment 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 CodeAssessmentAction, CodeAssessmentObservation class CodeAssessmentEnv( EnvClient[CodeAssessmentAction, CodeAssessmentObservation, State] ): """ Client for the Code Output Assessment 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 FirstRlProjEnv(base_url="http://localhost:8000") as client: ... result = client.reset() ... print(result.observation.problem_description) ... print(result.observation.test_case_input) ... ... result = client.step(FirstRlProjAction(answer="8")) ... print(result.observation.is_correct) Example with Docker: >>> # Automatically start container and connect >>> client = FirstRlProjEnv.from_docker_image("first_rl_proj:latest") >>> try: ... result = client.reset() ... result = client.step(FirstRlProjAction(answer="8")) ... finally: ... client.close() """ def _step_payload(self, action: CodeAssessmentAction) -> Dict: """ Convert CodeAssessmentAction to JSON payload for step message. Args: action: CodeAssessmentAction instance Returns: Dictionary representation suitable for JSON encoding """ return { "answer": action.answer, } def _parse_result(self, payload: Dict) -> StepResult[CodeAssessmentObservation]: """ Parse server response into StepResult[CodeAssessmentObservation]. Args: payload: JSON response data from server Returns: StepResult with CodeAssessmentObservation """ obs_data = payload.get("observation", {}) observation = CodeAssessmentObservation( problem_description=obs_data.get("problem_description", ""), difficulty=obs_data.get("difficulty", "easy"), test_case_input=obs_data.get("test_case_input", ""), expected_output=obs_data.get("expected_output"), feedback=obs_data.get("feedback", ""), is_correct=obs_data.get("is_correct", False), partial_credit=obs_data.get("partial_credit", 0.0), problems_solved=obs_data.get("problems_solved", 0), current_streak=obs_data.get("current_streak", 0), 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), )