# # 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.

# """Tool Use 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 ToolUseAction, ToolUseObservation


# class ToolUseEnv(
#     EnvClient[ToolUseAction, ToolUseObservation, State]
# ):
#     """
#     Client for the Tool Use 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 ToolUseEnv(base_url="http://localhost:8000") as client:
#         ...     result = client.reset()
#         ...     print(result.observation.echoed_message)
#         ...
#         ...     result = client.step(ToolUseAction(message="Hello!"))
#         ...     print(result.observation.echoed_message)

#     Example with Docker:
#         >>> # Automatically start container and connect
#         >>> client = ToolUseEnv.from_docker_image("tool_use_env-env:latest")
#         >>> try:
#         ...     result = client.reset()
#         ...     result = client.step(ToolUseAction(message="Test"))
#         ... finally:
#         ...     client.close()
#     """

#     def _step_payload(self, action: ToolUseAction) -> Dict:
#         """
#         Convert ToolUseAction to JSON payload for step message.

#         Args:
#             action: ToolUseAction instance

#         Returns:
#             Dictionary representation suitable for JSON encoding
#         """
#         return {
#             "message": action.message,
#         }

#     def _parse_result(self, payload: Dict) -> StepResult[ToolUseObservation]:
#         """
#         Parse server response into StepResult[ToolUseObservation].

#         Args:
#             payload: JSON response data from server

#         Returns:
#             StepResult with ToolUseObservation
#         """
#         obs_data = payload.get("observation", {})
#         observation = ToolUseObservation(
#             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),
#         )

from openenv.core.env_client import EnvClient
from openenv.core.client_types import StepResult

from tool_use_env.models import ToolUseAction, ToolUseObservation, ToolUseState


class ToolUseEnv(EnvClient[ToolUseAction, ToolUseObservation, ToolUseState]):

    def _step_payload(self, action: ToolUseAction) -> dict:
        return {
            "action_type": action.action_type,
            "artifact_id": action.artifact_id,
            "query": action.query,
            "message": action.message,
            "resolution_code": action.resolution_code,
        }

    def _parse_result(self, payload: dict) -> StepResult:
        obs_data = payload.get("observation", {})

        observation = ToolUseObservation(
            done=payload.get("done", False),
            reward=payload.get("reward"),
            task_id=obs_data.get("task_id", ""),
            difficulty=obs_data.get("difficulty", "easy"),
            objective=obs_data.get("objective", ""),
            customer_message=obs_data.get("customer_message", ""),
            workspace_summary=obs_data.get("workspace_summary", ""),
            available_actions=obs_data.get("available_actions", []),
            available_resolution_codes=obs_data.get("available_resolution_codes", []),
            collected_evidence=obs_data.get("collected_evidence", []),
            last_tool_result=obs_data.get("last_tool_result"),
            last_action_error=obs_data.get("last_action_error"),
            remaining_steps=obs_data.get("remaining_steps", 0),
            current_score=obs_data.get("current_score", 0.0),
            metadata=obs_data.get("metadata", {}),
        )

        return StepResult(
            observation=observation,
            reward=payload.get("reward"),
            done=payload.get("done", False),
        )

    def _parse_state(self, payload: dict) -> ToolUseState:
        return ToolUseState(
            episode_id=payload.get("episode_id"),
            step_count=payload.get("step_count", 0),
            task_id=payload.get("task_id", ""),
            task_name=payload.get("task_name", ""),
            difficulty=payload.get("difficulty", ""),
            objective=payload.get("objective", ""),
            cumulative_reward=payload.get("cumulative_reward", 0.0),
            final_score=payload.get("final_score", 0.0),
            drafted_reply=payload.get("drafted_reply"),
            resolution_code=payload.get("resolution_code"),
            expected_resolution_code=payload.get("expected_resolution_code", ""),
            required_evidence=payload.get("required_evidence", []),
            collected_evidence=payload.get("collected_evidence", []),
            action_history=payload.get("action_history", []),
            repeat_action_count=payload.get("repeat_action_count", 0),
            last_action_error=payload.get("last_action_error"),
            known_artifacts=payload.get("known_artifacts", {}),
            known_policies=payload.get("known_policies", {}),
        )