from __future__ import annotations

import json
from dataclasses import dataclass, asdict, field
from datetime import datetime
from typing import Any, Dict, Optional


def _iso_now() -> str:
    return datetime.utcnow().isoformat()


@dataclass
class ValidationResult:
    """
    Результат валидации контента/чанков.
    """
    ok: bool
    reason: Optional[str] = None
    details: Dict[str, Any] = field(default_factory=dict)
    timestamp: str = field(default_factory=_iso_now)

    def to_dict(self) -> Dict[str, Any]:
        return asdict(self)

    def to_json(self) -> str:
        return json.dumps(self.to_dict(), ensure_ascii=False, sort_keys=True)


@dataclass
class ContentSignature:
    """
    Информация о подписи контента/объекта.
    """
    signature: Optional[str]
    public_key_hex: Optional[str]
    algorithm: str = "ed25519"

    def to_dict(self) -> Dict[str, Any]:
        return asdict(self)


@dataclass
class TrustScore:
    """
    Итоговый скор доверия (0.0 - 1.0)
    """
    node_id: str
    score: float
    updated_at: str = field(default_factory=_iso_now)
    reason: Optional[str] = None

    def to_dict(self) -> Dict[str, Any]:
        d = asdict(self)
        # Нормализация диапазона
        d["score"] = max(0.0, min(1.0, float(d["score"])))
        return d


@dataclass
class NodeTrust:
    """
    Состояние доверия к ноде.
    """
    node_id: str
    score: float = 0.5
    blacklisted: bool = False
    manual_override: bool = False
    note: Optional[str] = None
    updated_at: str = field(default_factory=_iso_now)

    def to_dict(self) -> Dict[str, Any]:
        d = asdict(self)
        d["score"] = max(0.0, min(1.0, float(d["score"])))
        return d