from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Optional


@dataclass
class AnalysisResult:
    """vessel_analysis_results 테이블 29컬럼 매핑."""

    mmsi: str
    timestamp: datetime

    # 분류 결과
    vessel_type: str = 'UNKNOWN'
    confidence: float = 0.0
    fishing_pct: float = 0.0
    cluster_id: int = -1
    season: str = 'UNKNOWN'

    # ALGO 01: 위치
    zone: str = 'EEZ_OR_BEYOND'
    dist_to_baseline_nm: float = 999.0

    # ALGO 02: 활동 상태
    activity_state: str = 'UNKNOWN'
    ucaf_score: float = 0.0
    ucft_score: float = 0.0

    # ALGO 03: 다크 베셀
    is_dark: bool = False
    gap_duration_min: int = 0

    # ALGO 04: GPS 스푸핑
    spoofing_score: float = 0.0
    bd09_offset_m: float = 0.0
    speed_jump_count: int = 0

    # ALGO 05+06: 선단
    cluster_size: int = 0
    is_leader: bool = False
    fleet_role: str = 'NOISE'

    # ALGO 07: 위험도
    risk_score: int = 0
    risk_level: str = 'LOW'

    # ALGO 08: 환적 의심
    is_transship_suspect: bool = False
    transship_pair_mmsi: str = ''
    transship_duration_min: int = 0

    # 특징 벡터
    features: dict = field(default_factory=dict)

    # ALGO 09: 어구 위반 판정
    gear_judgment: str = ''

    # 메타
    analyzed_at: Optional[datetime] = None

    def __post_init__(self):
        if self.analyzed_at is None:
            self.analyzed_at = datetime.now(timezone.utc)

    def to_db_tuple(self) -> tuple:
        import json

        def _f(v: object) -> float:
            """numpy float → Python float 변환."""
            return float(v) if v is not None else 0.0

        def _i(v: object) -> int:
            """numpy int → Python int 변환."""
            return int(v) if v is not None else 0

        # features dict 내부 numpy 값도 변환 (재귀적 처리)
        # int/float/bool/str/None/list/dict 모두 허용 (JSON 호환 타입만 유지)
        def _sanitize(v):
            if v is None or isinstance(v, (str, bool)):
                return v
            if isinstance(v, (int, float)):
                return float(v) if isinstance(v, float) else int(v)
            if isinstance(v, dict):
                return {str(k): _sanitize(val) for k, val in v.items()}
            if isinstance(v, (list, tuple)):
                return [_sanitize(x) for x in v]
            # numpy 스칼라 등은 float 변환 시도, 실패 시 str
            try:
                return float(v)
            except (TypeError, ValueError):
                return str(v)

        safe_features = _sanitize(self.features) if self.features else {}

        return (
            str(self.mmsi),
            self.analyzed_at,           # analyzed_at (PK 파티션키)
            str(self.vessel_type),
            _f(self.confidence),
            _f(self.fishing_pct),
            _i(self.cluster_id),
            str(self.season),
            str(self.zone),             # → zone_code
            _f(self.dist_to_baseline_nm),
            str(self.activity_state),
            _f(self.ucaf_score),
            _f(self.ucft_score),
            bool(self.is_dark),
            _i(self.gap_duration_min),
            _f(self.spoofing_score),
            _f(self.bd09_offset_m),
            _i(self.speed_jump_count),
            _i(self.cluster_id),        # → fleet_cluster_id
            bool(self.is_leader),       # → fleet_is_leader
            str(self.fleet_role),
            _i(self.risk_score),
            str(self.risk_level),
            bool(self.is_transship_suspect),  # → transship_suspect
            str(self.transship_pair_mmsi),
            _i(self.transship_duration_min),
            json.dumps(safe_features),
            str(self.gear_judgment) if self.gear_judgment else None,
        )