"""
期货智析数据模型
"""
from datetime import datetime
from sqlalchemy import Column, String, Integer, Float, Text, DateTime, Boolean, Index, UniqueConstraint, JSON
from app.analysis_db import AnalysisBase


class FuturesAnalysis(AnalysisBase):
    """期货分析报告表"""
    __tablename__ = "futures_analysis"

    id = Column(Integer, primary_key=True, autoincrement=True)
    symbol = Column(String(32), nullable=False, index=True, comment="品种合约代码")
    analysis_time = Column(DateTime, nullable=False, default=datetime.now, index=True, comment="分析时间")
    period = Column(String(16), nullable=False, default="15min", comment="分析周期")
    # 分析结果
    suggestion = Column(String(32), nullable=True, comment="交易建议: 逢低做多/逢高做空/观望等待")
    suggestion_type = Column(String(16), nullable=True, comment="建议类型: up/down/neutral")
    entry_price = Column(Float, nullable=True, comment="建议入场价")
    target_price = Column(Float, nullable=True, comment="目标价位")
    stop_loss = Column(Float, nullable=True, comment="止损价位")
    risk_level = Column(String(16), nullable=True, comment="风险等级: 低/中/高")
    # 技术指标
    macd_signal = Column(String(16), nullable=True, comment="MACD信号")
    rsi_value = Column(Float, nullable=True, comment="RSI值")
    boll_signal = Column(String(16), nullable=True, comment="布林带信号")
    kdj_signal = Column(String(16), nullable=True, comment="KDJ信号")
    # 趋势评分
    trend_score = Column(Integer, nullable=True, comment="趋势评分 0-100")
    success_rate = Column(Float, nullable=True, comment="交易成功率")
    # 关键点位
    resistance_levels = Column(JSON, nullable=True, comment="压力位列表")
    support_levels = Column(JSON, nullable=True, comment="支撑位列表")
    # 多周期趋势
    period_trends = Column(JSON, nullable=True, comment="各周期趋势")

    def __repr__(self):
        return f"<FuturesAnalysis {self.symbol} {self.analysis_time}>"


class WatchedSymbol(AnalysisBase):
    """用户关注品种表"""
    __tablename__ = "watched_symbols"

    id = Column(Integer, primary_key=True, autoincrement=True)
    symbol = Column(String(32), nullable=False, unique=True, comment="品种合约代码")
    name = Column(String(64), nullable=True, comment="品种名称")
    note = Column(Text, nullable=True, comment="备注")
    created_at = Column(DateTime, nullable=False, default=datetime.now)
    updated_at = Column(DateTime, nullable=False, default=datetime.now, onupdate=datetime.now)

    def __repr__(self):
        return f"<WatchedSymbol {self.symbol}>"


class AIModelConfig(AnalysisBase):
    """AI模型配置表"""
    __tablename__ = "ai_model_configs"

    id = Column(Integer, primary_key=True, autoincrement=True)
    provider = Column(String(32), nullable=False, comment="AI提供商: openai/anthropic/google等")
    model_name = Column(String(64), nullable=False, comment="模型名称")
    api_key = Column(String(256), nullable=False, comment="API密钥")
    api_base = Column(String(256), nullable=True, comment="API基础URL")
    model_id = Column(String(64), nullable=True, comment="模型ID")
    temperature = Column(Float, nullable=True, default=0.7, comment="温度参数")
    max_tokens = Column(Integer, nullable=True, default=2000, comment="最大输出token")
    enabled = Column(Boolean, nullable=False, default=True, comment="是否启用")
    is_active = Column(Boolean, nullable=False, default=False, comment="是否为当前活跃模型")
    created_at = Column(DateTime, nullable=False, default=datetime.now)
    updated_at = Column(DateTime, nullable=False, default=datetime.now, onupdate=datetime.now)

    def __repr__(self):
        return f"<AIModelConfig {self.provider} {self.model_name}>"


class AnalysisSettings(AnalysisBase):
    """分析设置表（单例配置）"""
    __tablename__ = "analysis_settings"

    id = Column(Integer, primary_key=True, autoincrement=True)
    key = Column(String(64), nullable=False, unique=True, comment="配置键")
    value = Column(JSON, nullable=False, comment="配置值")
    updated_at = Column(DateTime, nullable=False, default=datetime.now, onupdate=datetime.now)

    def __repr__(self):
        return f"<AnalysisSettings {self.key}>"


class AIAnalysisCache(AnalysisBase):
    """AI分析缓存表"""
    __tablename__ = "ai_analysis_cache"

    id = Column(Integer, primary_key=True, autoincrement=True)
    symbol = Column(String(32), nullable=False, index=True, comment="品种合约代码")
    analysis_data = Column(JSON, nullable=False, comment="AI分析结果数据")
    kline_timestamp = Column(DateTime, nullable=True, comment="分析时K线数据的时间戳")
    created_at = Column(DateTime, nullable=False, default=datetime.now, index=True, comment="分析时间")

    def __repr__(self):
        return f"<AIAnalysisCache {self.symbol} {self.created_at}>"