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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. | |
| """__ENV_TITLE_NAME__ Environment Client.""" | |
| from typing import Dict | |
| from openenv.core.client_types import StepResult | |
| from openenv.core.env_server.types import State | |
| from openenv.core import EnvClient | |
| from .models import __ENV_CLASS_NAME__Action, __ENV_CLASS_NAME__Observation | |
| class __ENV_CLASS_NAME__Env( | |
| EnvClient[__ENV_CLASS_NAME__Action, __ENV_CLASS_NAME__Observation] | |
| ): | |
| """ | |
| Client for the __ENV_TITLE_NAME__ 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 __ENV_CLASS_NAME__Env(base_url="http://localhost:8000") as client: | |
| ... result = client.reset() | |
| ... print(result.observation.echoed_message) | |
| ... | |
| ... result = client.step(__ENV_CLASS_NAME__Action(message="Hello!")) | |
| ... print(result.observation.echoed_message) | |
| Example with Docker: | |
| >>> # Automatically start container and connect | |
| >>> client = __ENV_CLASS_NAME__Env.from_docker_image("__ENV_NAME__-env:latest") | |
| >>> try: | |
| ... result = client.reset() | |
| ... result = client.step(__ENV_CLASS_NAME__Action(message="Test")) | |
| ... finally: | |
| ... client.close() | |
| """ | |
| def _step_payload(self, action: __ENV_CLASS_NAME__Action) -> Dict: | |
| """ | |
| Convert __ENV_CLASS_NAME__Action to JSON payload for step message. | |
| Args: | |
| action: __ENV_CLASS_NAME__Action instance | |
| Returns: | |
| Dictionary representation suitable for JSON encoding | |
| """ | |
| return { | |
| "message": action.message, | |
| } | |
| def _parse_result(self, payload: Dict) -> StepResult[__ENV_CLASS_NAME__Observation]: | |
| """ | |
| Parse server response into StepResult[__ENV_CLASS_NAME__Observation]. | |
| Args: | |
| payload: JSON response data from server | |
| Returns: | |
| StepResult with __ENV_CLASS_NAME__Observation | |
| """ | |
| obs_data = payload.get("observation", {}) | |
| observation = __ENV_CLASS_NAME__Observation( | |
| echoed_message=obs_data.get("echoed_message", ""), | |
| message_length=obs_data.get("message_length", 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), | |
| ) | |