from __future__ import annotations

from datetime import datetime
from enum import Enum

from sqlalchemy import Boolean, DateTime, Float, ForeignKey, Integer, String, func
from sqlalchemy import Enum as SAEnum
from sqlalchemy.orm import Mapped, mapped_column, relationship

from .base import Base


class MatchStatus(str, Enum):
    PRE_MATCH = 'pre-match'
    IN_PLAY = 'in-play'
    FINISHED = 'finished'


class Venue(Base):
    """球場主資料：海拔與時區是 2026 世界盃關鍵參數。"""

    __tablename__ = 'venues'

    id: Mapped[str] = mapped_column(String(36), primary_key=True)
    name: Mapped[str] = mapped_column(String(200), nullable=False)
    city: Mapped[str] = mapped_column(String(120), nullable=False)
    country: Mapped[str] = mapped_column(String(120), nullable=False)
    altitude_meters: Mapped[int | None] = mapped_column(Integer, nullable=True)
    timezone: Mapped[str] = mapped_column(String(80), nullable=False)

    matches: Mapped[list[Match]] = relationship('Match', back_populates='venue', lazy='raise')


class Team(Base):
    """球隊主表，保留排名與 Elo 給量化模型做能力修正。"""

    __tablename__ = 'teams'

    id: Mapped[str] = mapped_column(String(36), primary_key=True)
    name: Mapped[str] = mapped_column(String(140), nullable=False, unique=True)
    fifa_rank: Mapped[int | None] = mapped_column(Integer, nullable=True)
    current_elo_rating: Mapped[float | None] = mapped_column(Float, nullable=True)
    group_name: Mapped[str | None] = mapped_column(String(10), nullable=True)

    home_matches: Mapped[list[Match]] = relationship(
        'Match',
        foreign_keys='Match.home_team_id',
        back_populates='home_team',
    )
    away_matches: Mapped[list[Match]] = relationship(
        'Match',
        foreign_keys='Match.away_team_id',
        back_populates='away_team',
    )


class Bookmaker(Base):
    """莊家主檔。"""

    __tablename__ = 'bookmakers'

    id: Mapped[str] = mapped_column(String(36), primary_key=True)
    name: Mapped[str] = mapped_column(String(120), nullable=False, unique=True)

    odds_rows: Mapped[list[OddsHistory]] = relationship('OddsHistory', back_populates='bookmaker')


class Match(Base):
    """賽事基本結構，儲存 UTC 時間、場地與賽前 xG。"""

    __tablename__ = 'matches'

    id: Mapped[str] = mapped_column(String(64), primary_key=True)
    home_team_id: Mapped[str] = mapped_column(ForeignKey('teams.id'), nullable=False)
    away_team_id: Mapped[str] = mapped_column(ForeignKey('teams.id'), nullable=False)
    venue_id: Mapped[str] = mapped_column(ForeignKey('venues.id'), nullable=False)

    match_time_utc: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
    status: Mapped[MatchStatus] = mapped_column(
        SAEnum(MatchStatus, name='match_status', native_enum=False),
        default=MatchStatus.PRE_MATCH,
    )
    home_xg: Mapped[float | None] = mapped_column(Float, nullable=True)
    away_xg: Mapped[float | None] = mapped_column(Float, nullable=True)

    home_team: Mapped[Team] = relationship('Team', foreign_keys=[home_team_id], back_populates='home_matches')
    away_team: Mapped[Team] = relationship('Team', foreign_keys=[away_team_id], back_populates='away_matches')
    venue: Mapped[Venue] = relationship('Venue', back_populates='matches')
    odds_history: Mapped[list[OddsHistory]] = relationship('OddsHistory', back_populates='match')
    recommendations: Mapped[list['ValueBetRecommendation']] = relationship(
      'ValueBetRecommendation',
      back_populates='match',
      cascade='all, delete-orphan',
    )


class OddsHistory(Base):
    """時間序列賠率表（待轉為 TimescaleDB Hypertable）。"""

    __tablename__ = 'odds_history'

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    match_id: Mapped[str] = mapped_column(ForeignKey('matches.id'), nullable=False, index=True)
    bookmaker_id: Mapped[str] = mapped_column(ForeignKey('bookmakers.id'), nullable=False, index=True)
    market_type: Mapped[str] = mapped_column(String(30), nullable=False)
    selection: Mapped[str] = mapped_column(String(30), nullable=False)
    decimal_odds: Mapped[float] = mapped_column(Float, nullable=False)
    implied_probability: Mapped[float] = mapped_column(Float, nullable=False)
    recorded_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)

    match: Mapped[Match] = relationship('Match', back_populates='odds_history')
    bookmaker: Mapped[Bookmaker] = relationship('Bookmaker', back_populates='odds_rows')


class SmartMoneyFlow(Base):
    """聰明錢流向快照表。"""

    __tablename__ = 'smart_money_flow'

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    match_id: Mapped[str] = mapped_column(ForeignKey('matches.id'), nullable=False, index=True)
    market_type: Mapped[str] = mapped_column(String(30), nullable=False)
    selection: Mapped[str] = mapped_column(String(30), nullable=False)
    ticket_pct: Mapped[float] = mapped_column(Float, nullable=False)
    handle_pct: Mapped[float] = mapped_column(Float, nullable=False)
    sharp_indicator: Mapped[bool] = mapped_column(Boolean, nullable=False)
    recorded_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)


class ValueBetRecommendation(Base):
    """可驗證獲利帳本紀錄（公開透明）。"""

    __tablename__ = 'value_bet_recommendations'

    id: Mapped[str] = mapped_column(String(64), primary_key=True)
    match_id: Mapped[str] = mapped_column(ForeignKey('matches.id'), nullable=False, index=True)
    market_type: Mapped[str] = mapped_column(String(30), nullable=False)
    selection: Mapped[str] = mapped_column(String(30), nullable=False)
    stake: Mapped[float] = mapped_column(Float, nullable=False)
    recommended_odds: Mapped[float] = mapped_column(Float, nullable=False)
    closing_odds: Mapped[float] = mapped_column(Float, nullable=True)
    is_win: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
    settled_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
    clv_ratio: Mapped[float] = mapped_column(Float, nullable=True)
    pnl: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
    note: Mapped[str | None] = mapped_column(String(240), nullable=True)

    match: Mapped[Match] = relationship('Match', back_populates='recommendations')


class AffiliateBookmaker(Base):
    """聯盟行銷博彩公司追蹤碼設定。"""

    __tablename__ = 'affiliate_bookmakers'

    id: Mapped[str] = mapped_column(String(36), primary_key=True)
    name: Mapped[str] = mapped_column(String(120), nullable=False, unique=True)
    tracking_url: Mapped[str] = mapped_column(String(512), nullable=False)
    commission_rate: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)


class AffiliateClick(Base):
    """聯盟行銷跳轉點擊紀錄（防廣告攔截）。"""

    __tablename__ = 'affiliate_clicks'

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    bookmaker_id: Mapped[str] = mapped_column(ForeignKey('affiliate_bookmakers.id'), nullable=False, index=True)
    user_ip_hash: Mapped[str] = mapped_column(String(128), nullable=False)
    user_agent: Mapped[str | None] = mapped_column(String(512), nullable=True)
    referrer: Mapped[str | None] = mapped_column(String(512), nullable=True)
    timestamp: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=func.now(), index=True)
    converted: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)


class UserProfile(Base):
    """量化大神排行榜與跟單系統的用戶資料。"""

    __tablename__ = 'user_profiles'

    id: Mapped[str] = mapped_column(String(36), primary_key=True)
    username: Mapped[str] = mapped_column(String(120), nullable=False, unique=True)
    clv_score: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
    roi_30d: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
    sharp_rating: Mapped[int] = mapped_column(Integer, nullable=False, default=0)


class CopyBet(Base):
    """一鍵跟單交易紀錄。"""

    __tablename__ = 'copy_bets'

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    follower_id: Mapped[str] = mapped_column(ForeignKey('user_profiles.id'), nullable=False, index=True)
    leader_id: Mapped[str] = mapped_column(ForeignKey('user_profiles.id'), nullable=False, index=True)
    recommendation_id: Mapped[str] = mapped_column(ForeignKey('value_bet_recommendations.id'), nullable=False)
    follower_stake: Mapped[float] = mapped_column(Float, nullable=False)
    copied_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=func.now())