"""Data models for the Quant Desk environment."""

from openenv.core.env_server.types import Action, Observation, State
from pydantic import Field


class QuantDeskAction(Action):
    """Action for Quant Desk: a single answer string."""

    answer: str = Field(
        default="",
        description="Your answer to the task question, as a single value",
    )


class QuantDeskObservation(Observation):
    """Observation returned by Quant Desk."""

    prompt: str = Field(default="", description="Task brief, set on reset only")
    feedback: str = Field(default="", description="Result of the last attempt")
    attempts_remaining: int = Field(default=0, description="Attempts left")
    task_id: str = Field(default="", description="Active task identifier")


class QuantDeskState(State):
    """Environment state for Quant Desk."""

    task_id: str = Field(default="", description="Active task identifier")
    attempts: int = Field(default=0, ge=0, description="Attempts used")
    best_score: float = Field(default=0.0, ge=0.0, le=1.0)