94 lines
3.8 KiB
Python
94 lines
3.8 KiB
Python
"""
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交易信号数据库模型
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"""
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from datetime import datetime
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from sqlalchemy import Column, Integer, String, Text, DateTime, JSON, Float, Boolean
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from sqlalchemy.orm import relationship
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from app.models.database import Base
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class TradingSignal(Base):
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"""交易信号表"""
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__tablename__ = "trading_signals"
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id = Column(Integer, primary_key=True, index=True)
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# 信号基本信息
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signal_type = Column(String(20), nullable=False, index=True) # 'crypto' or 'stock'
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symbol = Column(String(50), nullable=False, index=True) # 交易对或股票代码
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# 信号方向和评级
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action = Column(String(10), nullable=False) # 'buy', 'sell', 'hold'
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grade = Column(String(5), nullable=False) # 'A', 'B', 'C', 'D'
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confidence = Column(Float, nullable=False) # 置信度 0-100
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# 价格信息
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entry_price = Column(Float, nullable=True)
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entry_zone = Column(Float, nullable=True) # 挂单价格
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stop_loss = Column(Float, nullable=True)
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take_profit = Column(Float, nullable=True)
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current_price = Column(Float, nullable=True) # 信号生成时的当前价格
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# 信号详情
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signal_type_detail = Column(String(20), nullable=True) # 'short_term', 'medium_term', 'long_term'
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entry_type = Column(String(10), nullable=True) # 'market', 'limit'
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position_size = Column(String(20), nullable=True) # 'light', 'medium', 'heavy'
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# 分析信息
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reason = Column(Text, nullable=True) # 信号理由
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risk_warning = Column(Text, nullable=True) # 风险提示
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analysis_summary = Column(Text, nullable=True) # 分析摘要
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news_sentiment = Column(String(20), nullable=True) # 新闻情绪
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news_impact = Column(String(100), nullable=True) # 消息影响
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# 关键价位
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key_levels = Column(JSON, nullable=True) # 支撑位和阻力位
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# 技术指标（JSON 格式存储）
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indicators = Column(JSON, nullable=True)
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# 状态
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is_active = Column(Boolean, default=True) # 信号是否有效
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notified = Column(Boolean, default=False) # 是否已发送通知
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notification_sent_at = Column(DateTime, nullable=True)
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# 时间戳
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created_at = Column(DateTime, default=datetime.utcnow, index=True)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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def __repr__(self):
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return f"<TradingSignal({self.signal_type} {self.symbol} {self.action} {self.grade} {self.confidence}%)>"
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def to_dict(self):
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"""转换为字典"""
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return {
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'id': self.id,
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'signal_type': self.signal_type,
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'symbol': self.symbol,
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'action': self.action,
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'grade': self.grade,
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'confidence': self.confidence,
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'entry_price': self.entry_price,
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'entry_zone': self.entry_zone,
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'stop_loss': self.stop_loss,
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'take_profit': self.take_profit,
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'current_price': self.current_price,
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'signal_type_detail': self.signal_type_detail,
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'entry_type': self.entry_type,
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'position_size': self.position_size,
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'reason': self.reason,
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'risk_warning': self.risk_warning,
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'analysis_summary': self.analysis_summary,
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'news_sentiment': self.news_sentiment,
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'news_impact': self.news_impact,
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'key_levels': self.key_levels,
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'indicators': self.indicators,
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'is_active': self.is_active,
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'notified': self.notified,
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'notification_sent_at': self.notification_sent_at.isoformat() if self.notification_sent_at else None,
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'created_at': self.created_at.isoformat() if self.created_at else None,
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'updated_at': self.updated_at.isoformat() if self.updated_at else None,
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'timestamp': self.created_at.isoformat() if self.created_at else None
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}
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