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| # 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. | |
| """Doc Quality 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 DocQualityAction, DocQualityObservation | |
| class DocQualityEnv( | |
| EnvClient[DocQualityAction, DocQualityObservation, State] | |
| ): | |
| """ | |
| Client for the Doc Quality 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 DocQualityEnv(base_url="http://localhost:8000") as client: | |
| ... result = client.reset() | |
| ... print(result.observation.task_name) | |
| ... | |
| ... action = DocQualityAction( | |
| ... action_type="identify_issue", | |
| ... content="Missing error handling", | |
| ... issue_category="completeness" | |
| ... ) | |
| ... result = client.step(action) | |
| ... print(result.observation.feedback) | |
| Example with Docker: | |
| >>> # Automatically start container and connect | |
| >>> client = DocQualityEnv.from_docker_image("doc_quality_env-env:latest") | |
| >>> try: | |
| ... result = client.reset() | |
| ... action = DocQualityAction( | |
| ... action_type="identify_issue", | |
| ... content="Test issue", | |
| ... issue_category="clarity" | |
| ... ) | |
| ... result = client.step(action) | |
| ... finally: | |
| ... client.close() | |
| """ | |
| def _step_payload(self, action: DocQualityAction) -> Dict: | |
| """ | |
| Convert DocQualityAction to JSON payload for step message. | |
| Args: | |
| action: DocQualityAction instance | |
| Returns: | |
| Dictionary representation suitable for JSON encoding | |
| """ | |
| return { | |
| "action_type": action.action_type, | |
| "content": action.content, | |
| "issue_category": action.issue_category, | |
| } | |
| def _parse_result(self, payload: Dict) -> StepResult[DocQualityObservation]: | |
| """ | |
| Parse server response into StepResult[DocQualityObservation]. | |
| Args: | |
| payload: JSON response data from server | |
| Returns: | |
| StepResult with DocQualityObservation | |
| """ | |
| obs_data = payload.get("observation", {}) | |
| observation = DocQualityObservation( | |
| task_name=obs_data.get("task_name", ""), | |
| task_difficulty=obs_data.get("task_difficulty", "easy"), | |
| current_doc=obs_data.get("current_doc", ""), | |
| doc_section=obs_data.get("doc_section", ""), | |
| issues_identified=obs_data.get("issues_identified", []), | |
| known_issues=obs_data.get("known_issues", []), | |
| quality_score=obs_data.get("quality_score", 0.0), | |
| step_count=obs_data.get("step_count", 0), | |
| max_steps=obs_data.get("max_steps", 10), | |
| feedback=obs_data.get("feedback", ""), | |
| 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), | |
| ) | |