from __future__ import annotations

from dataclasses import asdict, dataclass, field
from datetime import datetime, timezone
from typing import Any


def now_iso() -> str:
    return datetime.now(timezone.utc).replace(microsecond=0).isoformat()


@dataclass
class MemoryFact:
    id: str
    kind: str
    text: str
    evidence: str
    confidence: float
    status: str = "candidate"
    created_at: str = field(default_factory=now_iso)
    updated_at: str = field(default_factory=now_iso)

    @classmethod
    def from_dict(cls, data: dict[str, Any]) -> "MemoryFact":
        return cls(**data)

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


@dataclass
class UserMemory:
    facts: list[MemoryFact] = field(default_factory=list)

    @classmethod
    def from_dict(cls, data: dict[str, Any]) -> "UserMemory":
        return cls([MemoryFact.from_dict(item) for item in data.get("facts", [])])

    def to_dict(self) -> dict[str, Any]:
        return {"facts": [fact.to_dict() for fact in self.facts]}

    def accepted(self) -> list[MemoryFact]:
        return [fact for fact in self.facts if fact.status == "accepted"]

    def candidates(self) -> list[MemoryFact]:
        return [fact for fact in self.facts if fact.status == "candidate"]


@dataclass
class MemoryExtractionResult:
    candidates: list[MemoryFact]


@dataclass
class SanitizedTask:
    run_id: str
    original_question_hash: str
    sanitized_query: str
    neutral_keywords: list[str]
    removed_or_hidden_terms: list[str]
    user_approved_context: list[str]


@dataclass
class RouteDecision:
    route: str
    confidence: float
    reasons: list[str]


@dataclass
class SourceCandidate:
    title: str
    url: str
    snippet: str
    extracted_text: str | None = None
    source_type: str = "fixture"
    fetch_status: str = "fixture"

    @classmethod
    def from_dict(cls, data: dict[str, Any]) -> "SourceCandidate":
        return cls(**data)

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


@dataclass
class ExternalAgentResult:
    route: str
    summary: str
    sources: list[SourceCandidate] = field(default_factory=list)
    artifacts: list[str] = field(default_factory=list)
    errors: list[str] = field(default_factory=list)


@dataclass
class RankedRecommendation:
    title: str
    url: str | None
    score: float
    matched_memory: list[str]
    conflicts: list[str]
    why_it_fits: str
    risks: str
    next_step: str


@dataclass
class AgentTrace:
    run_id: str
    route_decision: RouteDecision
    private_memory_used: list[str]
    sanitized_task: SanitizedTask
    outbound_payload_preview: str
    external_result_summary: str
    final_reasoning_summary: str

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