# 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.

"""Data models for the Slipstream Governance Environment."""

from __future__ import annotations

from typing import Any, Dict, List, Optional

from pydantic import Field

try:
    # When running with openenv-core installed
    from openenv.core.env_server.types import Action, Observation, State
except ImportError:  # pragma: no cover
    from openenv.core.env_server.types import Action, Observation, State


class SlipstreamAction(Action):
    """Action for SlipstreamGov: the model's message to send through the governor."""

    message: str = Field(..., min_length=1, description="Model output containing a SLIP message")


class SlipstreamObservation(Observation):
    """Observation returned by the governor after validation + scoring."""

    # On reset
    task_prompt: Optional[str] = Field(default=None, description="Prompt for the model (natural-language intent + constraints)")

    # On step (evaluation)
    parsed_slip: Optional[str] = Field(default=None, description="Extracted SLIP line (normalized)")
    expected_anchor: Optional[str] = Field(default=None, description="Scenario's expected anchor")
    predicted_anchor: Optional[str] = Field(default=None, description="Anchor parsed from model output")
    arg_overlap: float = Field(default=0.0, ge=0.0, le=1.0, description="Fraction of expected args present in output")
    violations: List[str] = Field(default_factory=list, description="Rule violations detected by the governor")
    metrics: Dict[str, Any] = Field(default_factory=dict, description="Extra metrics for debugging / dashboards")


class SlipstreamState(State):
    """Environment state."""

    scenario_id: Optional[int] = Field(default=None, description="Current scenario id")
    attack: bool = Field(default=False, description="Whether this episode included a secret-injection attack")