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| """Origami environment client — connects to a running origami_env server.""" | |
| from typing import Any, Dict | |
| from openenv.core.client_types import StepResult | |
| from openenv.core.env_client import EnvClient | |
| from origami_server.models import OrigamiAction, OrigamiObservation, OrigamiState | |
| class OrigamiEnv(EnvClient[OrigamiAction, OrigamiObservation, OrigamiState]): | |
| """ | |
| Client for the origami RL environment. | |
| Example: | |
| >>> with OrigamiEnv(base_url="http://localhost:8000") as env: | |
| ... result = env.reset(task_name="triangle") | |
| ... result = env.step(OrigamiAction(fold_data={...})) | |
| ... print(result.observation.shape_similarity) | |
| >>> # From HuggingFace Spaces | |
| >>> env = OrigamiEnv.from_env("username/origami_env") | |
| """ | |
| def _step_payload(self, action: OrigamiAction) -> Dict[str, Any]: | |
| return action.model_dump() | |
| def _parse_result(self, payload: Dict[str, Any]) -> StepResult[OrigamiObservation]: | |
| obs_data = payload.get("observation", payload) | |
| return StepResult( | |
| observation=OrigamiObservation(**obs_data), | |
| reward=payload.get("reward"), | |
| done=payload.get("done", False), | |
| ) | |
| def _parse_state(self, payload: Dict[str, Any]) -> OrigamiState: | |
| return OrigamiState(**payload) | |