| """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="",
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| 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)
|
|
|
