models.py

from typing import Literal, Optional

from openenv.core.env_server import Action, Observation, State


class DataAction(Action):
    """Agent action for the data analysis environment.

    The agent can either execute pandas code against the loaded dataset
    or submit a final answer to be graded.

    Attributes:
        action_type: Whether to execute code or submit an answer.
        code: Python/pandas code to execute (required when action_type is "execute_code").
        answer: Final answer string (required when action_type is "submit_answer").
    """

    action_type: Literal["execute_code", "submit_answer"]
    code: Optional[str] = None
    answer: Optional[str] = None


class DataObservation(Observation):
    """Observation returned after each step or reset.

    Attributes:
        output: String output from code execution or environment messages.
        success: Whether the last action executed without errors.
        error: Error message if the last action failed.
        task_description: The task question, populated on reset.
        dataset_info: Column names and dtypes summary, populated on reset.
    """

    output: str = ""
    success: bool = True
    error: Optional[str] = None
    task_description: str = ""
    dataset_info: str = ""


class DataState(State):
    """Episode state for the data analysis environment.

    Attributes:
        task_id: The current task being evaluated (1, 2, or 3).
        answer_submitted: Whether the agent has submitted a final answer.
        final_score: The graded score after answer submission (0.0 to 1.0).
    """

    task_id: int = 1
    answer_submitted: bool = False
    final_score: float = 0.0