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80 lines
3.9 KiB
80 lines
3.9 KiB
1 year ago
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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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