Python sqlalchemy orm 多外键关联

 多外键关联

注:在两个表之间进行多外键链接

如图:

Python sqlalchemy orm 多外键关联

案例:

# 创建两张表并添加外键主键

# 调用Column创建字段 加类型
from sqlalchemy import Integer, ForeignKey, String, Column # 调用基类Base
from sqlalchemy.ext.declarative import declarative_base # 调用操作链接,反查
from sqlalchemy.orm import relationship # 调用链接数据库
from sqlalchemy import create_engine Base = declarative_base() class Customer(Base):
__tablename__ = 'customer'
id = Column(Integer, primary_key=True)
name = Column(String(64)) # 以Address表id字段 设置两个外键
billing_address_id = Column(Integer, ForeignKey("address.id"))
shipping_address_id = Column(Integer, ForeignKey("address.id")) # relationship -允许你在Student表里通过backref字段反向查出所有它在表里的关联项-
# foreign_keys=绑定外键 多次relationship 反差会识别不出指定数据所以添加foreign_keys参数。
billing_address = relationship("Address",foreign_keys=[billing_address_id])
shipping_address = relationship("Address",foreign_keys=[shipping_address_id]) class Address(Base):
__tablename__ = 'address'
id = Column(Integer, primary_key=True)
street = Column(String(64))
city = Column(String(64))
state = Column(String(64)) # 返回一个可以用来表示对象的可打印字符串
def __repr__(self):
return self.street # encoding='utf-8' 链接字符集 ,echo=True 把所有信息打印出来
engine = create_engine("mysql+pymysql://root:123456@192.168.1.100/xiang",encoding='utf-8',
#echo=True
) #---------------1.创建表-----------------#
# 创建表结构
Base.metadata.create_all(engine)
#---------------------------------------#

# 插入表内字段数据,测试访问

from www import orm_fk
from sqlalchemy.orm import sessionmaker # bind=engine 绑定engine socket实例
Session_class = sessionmaker(bind=orm_fk.engine) # 生成session实例,如同pymysql内的cursor
Session = Session_class() #---------------2.写入数据-----------------# # 写入数据
# addr1 = orm_fk.Address(street="Tiantongyuan",city="ChangPing",state="BJ")
# addr2 = orm_fk.Address(street="Wudaokou",city="Haidian",state="BJ")
# addr3 = orm_fk.Address(street="Yanjiao",city="Langfang",state="HB") # 插入数据
# Session.add_all([addr1,addr2,addr3]) # 写入数据 并调用 Address字段插入数据 为 Customer数据
# c1 = orm_fk.Customer(name="kevin",billing_address=addr1,shipping_address=addr2)
# c2 = orm_fk.Customer(name="Jack",billing_address=addr3,shipping_address=addr3) # 插入数据
# Session.add_all([c1,c2])
#---------------------------------------# #---------------3.查询数据-----------------# # 取出Customer内的 内存对象
obj = Session.query(orm_fk.Customer).filter(orm_fk.Customer.name=="kevin").first() # 通过内存 调用第一行name字段数据,
# 调用billing_address对应外键id的对应数据,
# 调用obj.shipping_address对应外键id的对应数据。
print(obj.name,obj.billing_address,obj.shipping_address)
#---------------------------------------# # 执行事务
Session.commit()
# 表customer
+----+-------+--------------------+---------------------+
| id | name | billing_address_id | shipping_address_id |
+----+-------+--------------------+---------------------+
| 1 | kevin | 1 | 2 |
| 2 | Jack | 3 | 3 |
+----+-------+--------------------+---------------------+ # 表address
+----+--------------+-----------+-------+
| id | street | city | state |
+----+--------------+-----------+-------+
| 1 | Tiantongyuan | ChangPing | BJ |
| 2 | Wudaokou | Haidian | BJ |
| 3 | Yanjiao | Langfang | HB |
+----+--------------+-----------+-------+

数据库测试

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