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					import sqlalchemy | 
				
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					from sqlalchemy import create_engine | 
				
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					from sqlalchemy.orm import declarative_base | 
				
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					from sqlalchemy import Column, Integer, String, DATE | 
				
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					# 创建数据引擎 | 
				
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					DB_URI = "mysql+pymysql://root:Sxzgx1209@home.rogersun.cn:3306/lottery" | 
				
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					engine = create_engine(DB_URI, echo=True) | 
				
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					# 生成基类 | 
				
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					Base = declarative_base() | 
				
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					# 生成数据表对象 | 
				
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					class History(Base): | 
				
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					    __tablename__ = 'history'  # 定义表名 | 
				
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					    # 定义表结构 | 
				
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					    id = Column(Integer, autoincrement=True, primary_key=True) | 
				
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					    dateId = Column(String(20), nullable=False) | 
				
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					    openDate = Column(DATE, nullable=False) | 
				
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					    red = Column(String(200), nullable=False) | 
				
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					    blue = Column(String(10), nullable=False) | 
				
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					class BlueForecastFiveAll(Base): | 
				
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					    __tablename__ = 'blue_forecast_five_all'  # 定义表名 | 
				
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					    # 定义表结构 | 
				
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					    id = Column(Integer, autoincrement=True, primary_key=True) | 
				
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					    dateId = Column(String(20), nullable=False, comment='期号') | 
				
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					    real_blue = Column(String(10), comment='真实的蓝球数据') | 
				
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					    prv_five = Column(String(500), nullable=False, comment='根据当前一期的蓝球,从历史数据中往前推5期,计算蓝球出现概率') | 
				
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					    prv_index = Column(Integer, comment='根据实际结果计算蓝球的index位置') | 
				
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					    post_five = Column(String(500), nullable=False, comment='根据当前一期的蓝球,从历史数据中往后推5期,计算蓝球出现概率') | 
				
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					    post_index = Column(Integer, comment='根据实际结果计算蓝球的index位置') | 
				
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					    history_total = Column(String(500), nullable=False, comment='根据当前一期的蓝球,从历史数据中计算每个蓝球出现的概率') | 
				
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					    history_index = Column(Integer, comment='历史中的蓝球索引') | 
				
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					class BlueForecastThreeAll(Base): | 
				
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					    __tablename__ = 'blue_forecast_three_all'  # 定义表名 | 
				
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					    # 定义表结构 | 
				
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					    id = Column(Integer, autoincrement=True, primary_key=True) | 
				
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					    dateId = Column(String(20), nullable=False, comment='期号') | 
				
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					    real_blue = Column(String(10), comment='真实的蓝球数据') | 
				
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					    prv_three = Column(String(500), nullable=False, comment='根据当前一期的蓝球,从历史数据中往前推5期,计算蓝球出现概率') | 
				
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					    prv_index = Column(Integer, comment='根据实际结果计算蓝球的index位置') | 
				
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					    post_three = Column(String(500), nullable=False, | 
				
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					                        comment='根据当前一期的蓝球,从历史数据中往后推5期,计算蓝球出现概率') | 
				
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					    post_index = Column(Integer, comment='根据实际结果计算蓝球的index位置') | 
				
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					    history_total = Column(String(500), nullable=False, comment='根据当前一期的蓝球,从历史数据中计算每个蓝球出现的概率') | 
				
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					    history_index = Column(Integer, comment='历史中的蓝球索引') | 
				
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					class RedForecastAll(Base): | 
				
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					    __tablename__ = 'red_forecast_all'  # 定义表名 | 
				
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					    # 定义表结构 | 
				
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					    id = Column(Integer, autoincrement=True, primary_key=True) | 
				
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					    dateId = Column(String(20), nullable=False, comment='期号-指预测数据根据哪一期数据计算') | 
				
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					    red_rate = Column(String(500), nullable=False, comment='根据上一期红球结果计算历史中红球的出现概率') | 
				
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					    random_red_num = Column(String(256), comment='随机计算的红球数据') | 
				
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					    random_red_index = Column(String(256), comment='预测红球数据对应的index') | 
				
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					    random_red_index_group = Column(String(256), comment='预测红球数据对应的index分布') | 
				
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					    real_red = Column(String(256), comment='下一期的真实的红球数据') | 
				
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					    real_red_index = Column(String(100), comment='真实红球在此次预测中的索引位置') | 
				
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					    real_red_index_group = Column(String(100), comment='真实红球在此次预测中的索引位置的分布') | 
				
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					# 创建数据表,下面部分没有联想 | 
				
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					Base.metadata.create_all(engine) | 
				
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					from sqlalchemy.orm import sessionmaker | 
				
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					Session_class = sessionmaker(bind=engine)  # 创建与数据引擎的绑定会话类 | 
				
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					session = Session_class()  # 实例化session连接 | 
				
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