s4day63
内容回顾：
1. 函数编程：数据和逻辑分离
a= 123
b = 456
c = 789
def exc3(proc_name):
callproc(xxx)
return xxx
def exc4(proc_name):
callproc(xxx)
return xxx
2. 面向对象：数据和逻辑（属性和行为）组合在一起
class SqlHelper:
def __init__(self):
self.host = ''
self.port =''
self.db =''
self.charset=''
def exc1(self,SQL):
# 连接
conn(self.host,)
execute("inser")
return xx
def exc2(self,proc_name):
callproc(xxx)
return xxx
- 一类事物共同具有：属性和行为
class Person:
def __init__(self,name):
self.name = name
def speak(self):
pass
1. 提取共性
2. 分类
3. 模板“约束”
4. 当一类函数公用同样参数时候，可以转变成类进行 - 分类
3.
面向对象： 数据和逻辑（属性和行为）组合在一起
函数编程：数据和逻辑分离
3. 分类示例：
类 = 表；对象=行
class Userinfo:
def __init__(self,id,name):
""" ‘约束’每个对象中只有两个字段，即：每个行数据都有id和name列"""
self.id = id
self.name= name
def add(self,name):
pass
...
# row1 = UserInfo(1,'alex') # 第一行
# row2 = UserInfo(2,'alex') # 第二行
特殊方法：
class Foo:
def __init__(self,name):
self.name = name
def show(self):
print(self.name)
def __call__(self):
pass
def __getitem__(self,key):
pass
def __setitem__(self,key,value):
pass
def __delitem__(self,key):
pass
obj1 = Foo('eric')
obj1()
obj1['k']
obj1['k'] = 123
del obj[k]
obj.__dict__
今日内容：
1. ORM框架：SQLAlchemy
- 作用：
1. 提供简单的规则
2. 自动转换成SQL语句
- DB first: 手动创建数据库以及表 -> ORM框架 -> 自动生成类
- code first： 手动创建类、和数据库 -> ORM框架 -> 以及表
a. 功能
- 创建数据库表
- 连接数据库（非SQLAlchemy,pymyql,mysqldb,....）
- 类转换SQL语句
- 操作数据行
增
删
改
查
- 便利的功能
2. 自己开发Web框架
- socket
- http协议
- HTML知识
- 数据库（pymysql，SQLAlchemy）
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index,CHAR,VARCHAR
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
Base = declarative_base()
# 创建单表
"""
1 白金
2 黑金
obj.xx ==> [obj,obj...]
"""
class UserType(Base):
__tablename__ = 'usertype'
id = Column(Integer, primary_key=True, autoincrement=True)
title = Column(VARCHAR(32), nullable=True, index=True)
"""
1 方少伟 1
2 成套 1
3 小白 2
# 正向
ut = relationship（backref='xx'）
obj.ut ==> 1 白金
"""
class Users(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True, autoincrement=True)
name = Column(VARCHAR(32), nullable=True, index=True)
email = Column(VARCHAR(16), unique=True)
user_type_id = Column(Integer,ForeignKey("usertype.id"))
user_type = relationship("UserType",backref='xxoo')
# __table_args__ = (
# UniqueConstraint('id', 'name', name='uix_id_name'),
# Index('ix_n_ex','name', 'email',),
# )
def create_db():
engine = create_engine("mysql+pymysql://root:@127.0.0.1:3306/s4day62db?charset=utf8", max_overflow=5)
Base.metadata.create_all(engine)
def drop_db():
engine = create_engine("mysql+pymysql://root:@127.0.0.1:3306/s4day62db?charset=utf8", max_overflow=5)
Base.metadata.drop_all(engine)
engine = create_engine("mysql+pymysql://root:@127.0.0.1:3306/s4day62db?charset=utf8", max_overflow=5)
Session = sessionmaker(bind=engine)
session = Session()
# 类 -> 表
# 对象 -> 行
# ###### 增加 ######
#
# obj1 = UserType(title='普通用户')
# session.add(obj1)
# objs =[
# UserType(title='超级用户'),
# UserType(title='白金用户'),
# UserType(title='黑金用户'),
# ]
# session.add_all(objs)
# ###### 查 ######
# print(session.query(UserType))
# user_type_list = session.query(UserType).all()
# for row in user_type_list:
# print(row.id,row.title)
# select xxx UserType where
# user_type_list = session.query(UserType.id,UserType.title).filter(UserType.id > 2)
# for row in user_type_list:
# print(row.id,row.title)
# 分组，排序，连表，通配符，子查询，limit，union,where,原生SQL、
# ret = session.query(Users, UserType)
# select * from user,usertype;
#
# ret = session.query(Users, UserType).filter(Users.usertype_id==UserType.id)
# select * from user,usertype whre user.usertype_id = usertype.id
# result = session.query(Users).join(UserType)
# print(result)
# result = session.query(Users).join(UserType,isouter=True)
# print(result)
#
# 1.
# select * from b where id in (select id from tb2)
# 2 select * from (select * from tb) as B
# q1 = session.query(UserType).filter(UserType.id > 0).subquery()
# result = session.query(q1).all()
# print(result)
# 3
# select
# id ,
# (select * from users where users.user_type_id=usertype.id)
# from usertype;
# session.query(UserType,session.query(Users).filter(Users.id == 1).subquery())
# session.query(UserType,Users)
# result = session.query(UserType.id,session.query(Users).as_scalar())
# print(result)
# result = session.query(UserType.id,session.query(Users).filter(Users.user_type_id==UserType.id).as_scalar())
# print(result)
# 问题1. 获取用户信息以及与其关联的用户类型名称(FK,Relationship=>正向操作)
# user_list = session.query(Users,UserType).join(UserType,isouter=True)
# print(user_list)
# for row in user_list:
# print(row[0].id,row[0].name,row[0].email,row[0].user_type_id,row[1].title)
# user_list = session.query(Users.name,UserType.title).join(UserType,isouter=True).all()
# for row in user_list:
# print(row[0],row[1],row.name,row.title)
# user_list = session.query(Users)
# for row in user_list:
# print(row.name,row.id,row.user_type.title)
# 问题2. 获取用户类型
# type_list = session.query(UserType)
# for row in type_list:
# print(row.id,row.title,session.query(Users).filter(Users.user_type_id == row.id).all())
# type_list = session.query(UserType)
# for row in type_list:
# print(row.id,row.title,row.xxoo)
# ###### 删除 ######
# session.query(UserType.id,UserType.title).filter(UserType.id > 2).delete()
# ###### 修改 ######
# session.query(UserType.id,UserType.title).filter(UserType.id > 0).update({"title" : "黑金"})
# session.query(UserType.id,UserType.title).filter(UserType.id > 0).update({UserType.title: UserType.title + "x"}, synchronize_session=False)
# session.query(UserType.id,UserType.title).filter(UserType.id > 0).update({"num": Users.num + 1}, synchronize_session="evaluate")
session.commit()
session.close()
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