from __future__ import annotations
from typing import Optional, List, Dict, Any
from pydantic import BaseModel, Field, field_validator


class ContentSignals(BaseModel):
    target: str = "none"
    is_protected_class: bool = False
    toxicity_level: float = 0.5
    is_direct_attack: bool = False
    context_type: str = "statement"
    intent: str = "ambiguous"
    confidence: float = 0.5
    abusive_language_present: bool = False
    content_flags: List[str] = Field(default_factory=list)

    @field_validator("toxicity_level", "confidence")
    @classmethod
    def clamp_0_1(cls, v: float) -> float:
        return max(0.0, min(1.0, float(v)))

    model_config = {"extra": "ignore"}


class TrustAction(BaseModel):
    action_type: str = ""
    tool_name: Optional[str] = None
    signals: Optional[ContentSignals] = None
    final_decision: Optional[str] = None

    model_config = {"extra": "ignore"}


class TrustObservation(BaseModel):
    ticket_id: str = ""
    post_text: str = ""
    image_description: str = ""
    comments_found: Optional[str] = None
    user_history_found: Optional[str] = None
    entity_status_found: Optional[str] = None
    policy_found: Optional[str] = None
    extracted_signals: Optional[Dict[str, Any]] = None
    validation_result: Optional[Dict[str, Any]] = None
    step_number: int = 0
    info: Optional[Dict[str, Any]] = None
    done: bool = False
    reward: Optional[float] = None

    model_config = {"extra": "ignore"}


class TrustState(BaseModel):
    episode_id: Optional[str] = None
    step_count: int = 0
    current_task_id: Optional[str] = None
    difficulty: Optional[str] = None
    ambiguity_level: Optional[str] = None
    risk_level: Optional[str] = None
    tools_used: List[str] = Field(default_factory=list)
    signals_extracted: bool = False
    is_done: bool = False

    model_config = {"extra": "ignore"}