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# 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.
"""Ask Answer Env 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 AskAnswerAction, AskAnswerObservation, KnownSlots
class AskAnswerEnv(
EnvClient[AskAnswerAction, AskAnswerObservation, State]
):
"""
Client for the Ask Answer Env Environment.
A slot-filling environment where agents must decide between asking
clarifying questions or answering early to maximize reward.
Example:
>>> with AskAnswerEnv(base_url="http://localhost:8000") as client:
... result = client.reset(seed=42)
... print(result.observation.prompt)
... print(result.observation.known)
...
... # Ask about city
... result = client.step(AskAnswerAction(type="ask", slot="city"))
... print(f"City: {result.observation.known.city}")
...
... # Answer with known values
... result = client.step(AskAnswerAction(
... type="answer",
... city=result.observation.known.city,
... date="mid_feb",
... budget="high"
... ))
... print(f"Reward: {result.reward}, Done: {result.done}")
Example with Docker:
>>> client = AskAnswerEnv.from_docker_image("ask_answer_env-env:latest")
>>> try:
... result = client.reset(seed=42)
... # ... interact with environment
... finally:
... client.close()
"""
def _step_payload(self, action: AskAnswerAction) -> Dict:
"""
Convert AskAnswerAction to JSON payload for step message.
Args:
action: AskAnswerAction instance
Returns:
Dictionary representation suitable for JSON encoding
"""
payload = {"type": action.type}
if action.type == "ask":
payload["slot"] = action.slot
else: # answer
payload["city"] = action.city
payload["date"] = action.date
payload["budget"] = action.budget
payload["style"] = action.style
return payload
def _parse_result(self, payload: Dict) -> StepResult[AskAnswerObservation]:
"""
Parse server response into StepResult[AskAnswerObservation].
Args:
payload: JSON response data from server
Returns:
StepResult with AskAnswerObservation
"""
obs_data = payload.get("observation", {})
known_data = obs_data.get("known", {})
known = KnownSlots(
city=known_data.get("city"),
date=known_data.get("date"),
budget=known_data.get("budget"),
style=known_data.get("style"),
)
observation = AskAnswerObservation(
prompt=obs_data.get("prompt", "Plan a short trip for me."),
known=known,
steps_left=obs_data.get("steps_left", 0),
done=payload.get("done", False),
reward=payload.get("reward"),
core_correct_count=obs_data.get("core_correct_count"),
)
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),
)
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