client.py

from typing import Dict

from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from openenv.core.env_server.types import State

try:
    from .models import IssueView, OpsguardAction, OpsguardObservation
except (ImportError, ValueError):
    from models import IssueView, OpsguardAction, OpsguardObservation


class OpsguardEnv(EnvClient[OpsguardAction, OpsguardObservation, State]):
    def _step_payload(self, action: OpsguardAction) -> Dict:
        return action.model_dump(mode="json")

    def _parse_result(self, payload: Dict) -> StepResult[OpsguardObservation]:
        obs_data = payload.get("observation", {})
        ci = obs_data.get("current_issue")
        current_issue = IssueView(**ci) if ci else None
        observation = OpsguardObservation(
            scenario_id=obs_data.get("scenario_id", ""),
            step=obs_data.get("step", 0),
            step_budget=obs_data.get("step_budget", 0),
            queue_position=obs_data.get("queue_position", 0),
            queue_total=obs_data.get("queue_total", 0),
            current_issue=current_issue,
            memory_hits=obs_data.get("memory_hits", []),
            recent_actions=obs_data.get("recent_actions", []),
            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:
        return State(
            episode_id=payload.get("episode_id"),
            step_count=payload.get("step_count", 0),
        )