amazing-data-service/backend/app/models/stock_basic.py

"""
股票基础数据模型
"""
from datetime import datetime, date
from sqlalchemy import Column, Integer, BigInteger, String, Numeric, Text, Date, DateTime, ForeignKey, Boolean
from sqlalchemy.orm import relationship
from app.db.base import Base


class StockBasic(Base):
    """股票基础数据表"""
    __tablename__ = "stock_basic"
    
    id = Column(BigInteger, primary_key=True, index=True, autoincrement=True)
    code = Column(String(20), unique=True, nullable=False, index=True)
    name = Column(String(50))
    total_shares = Column(BigInteger)
    float_shares = Column(BigInteger)
    industry_index_name = Column(String(100))
    industry_index_code = Column(String(20), ForeignKey("index_basic.code"))
    institution_hold_ratio = Column(Numeric(10, 4))
    industry_level3 = Column(String(100))
    list_date = Column(Date)
    created_at = Column(DateTime(timezone=True), default=datetime.utcnow)
    updated_at = Column(DateTime(timezone=True), default=datetime.utcnow, onupdate=datetime.utcnow)
    
    industry_index = relationship("IndexBasic", back_populates="stocks")


class IndexBasic(Base):
    """指数基础表"""
    __tablename__ = "index_basic"
    
    id = Column(BigInteger, primary_key=True, index=True)
    code = Column(String(20), unique=True, nullable=False, index=True)
    name = Column(String(100))
    component_count = Column(Integer)
    created_at = Column(DateTime(timezone=True), default=datetime.utcnow)
    updated_at = Column(DateTime(timezone=True), default=datetime.utcnow, onupdate=datetime.utcnow)
    
    stocks = relationship("StockBasic", back_populates="industry_index")
    trades = relationship("IndexTrade", back_populates="index")


class IndexTrade(Base):
    """指数交易表"""
    __tablename__ = "index_trade"
    
    id = Column(BigInteger, primary_key=True, index=True, autoincrement=True)
    index_code = Column(String(20), ForeignKey("index_basic.code"), nullable=False, index=True)
    trade_date = Column(Date, nullable=False, index=True)
    open = Column(Numeric(10, 3))
    close = Column(Numeric(10, 3))
    high = Column(Numeric(10, 3))
    low = Column(Numeric(10, 3))
    change_pct = Column(Numeric(10, 4))
    volume = Column(BigInteger)
    amount = Column(Numeric(18, 2))
    total_market_value = Column(Numeric(18, 2))
    float_market_value = Column(Numeric(18, 2))
    up_count = Column(Integer)
    down_count = Column(Integer)
    flat_count = Column(Integer)
    limit_up_count = Column(Integer)
    limit_down_count = Column(Integer)
    suspend_count = Column(Integer)
    pe_ratio = Column(Numeric(10, 4))
    pe_median = Column(Numeric(10, 4))
    is_new_high = Column(Boolean, default=False)
    is_new_low = Column(Boolean, default=False)
    created_at = Column(DateTime(timezone=True), default=datetime.utcnow)
    updated_at = Column(DateTime(timezone=True), default=datetime.utcnow, onupdate=datetime.utcnow)
    
    index = relationship("IndexBasic", back_populates="trades")