client.py

"""SWEbench-IN Environment Client.

Provides a Python client for connecting to a running SWEbench-IN server
via HTTP/WebSocket, enabling efficient multi-step RL interactions.
"""

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 SWEbenchINAction, SWEbenchINObservation


class SWEbenchINEnv(
    EnvClient[SWEbenchINAction, SWEbenchINObservation, State]
):
    """
    Client for the SWEbench-IN Environment.

    Maintains a persistent WebSocket connection to the environment server.
    Each client instance has its own dedicated environment session.

    Example:
        >>> with SWEbenchINEnv(base_url="http://localhost:7860") as client:
        ...     result = client.reset()
        ...     print(result.observation.text)
        ...
        ...     action = SWEbenchINAction(type="run_command", args="ls /home/user2")
        ...     result = client.step(action)
        ...     print(result.observation.text)
    """

    def _step_payload(self, action: SWEbenchINAction) -> Dict:
        """Convert SWEbenchINAction to JSON payload for step message."""
        return {
            "type": action.type,
            "args": action.args,
        }

    def _parse_result(self, payload: Dict) -> StepResult[SWEbenchINObservation]:
        """Parse server response into StepResult[SWEbenchINObservation]."""
        obs_data = payload.get("observation", {})
        observation = SWEbenchINObservation(
            text=obs_data.get("text", ""),
            reward=payload.get("reward"),
            done=payload.get("done", False),
            step_count=obs_data.get("step_count", 0),
            max_steps=obs_data.get("max_steps", 15),
            tests_passing_ratio=obs_data.get("tests_passing_ratio", 0.0),
            server_running=obs_data.get("server_running", False),
            reward_breakdown=obs_data.get("reward_breakdown", {}),
            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."""
        return State(
            episode_id=payload.get("episode_id"),
            step_count=payload.get("step_count", 0),
        )