django修身大法之易筋经2

模型(2)

1.模型对应关系

关系数据库最强大的地方在于“关系”,也即表和表之间是有关联的,这种关联有三
种类型:

  • ⼀对⼀
  • ⼀对多
  • 多对多

1.1 ⼀对⼀

⼀个学生有⼀个档案,⼀个档案属于⼀个学生,那么学生表和档案表就是⼀对⼀关
系。学生表是主表,档案表是从表,从表中有⼀个外键和学生表关联,并且要求外
键取值唯⼀。对应关键字为:OneToOneField

#创建模型
class Student(models.Model):
     sno = models.CharField(max_length=6,primary_key=True)
     sname = models.CharField(max_length=100,null=False)
     ssex = models.CharField(max_length=2,default='男',null=True)
     sage = models.IntegerField(null=True)
     sclass = models.CharField(max_length=10,null=True)
     def __str__(self):
     return "no:{},name:{}".format(self.sno,self.sname)
     class Meta:
         db_table = 'student'
class Archives(models.Model):
     idcard = models.CharField(max_length=18, unique=True)
     address = models.CharField(max_length=200,null=True)
     # on_delete=models.CASCADE 级联删除,删除学⽣会连同档案⼀块删除
     student = models.OneToOneField(Student, on_delete=models.CASCADE)
      def __str__(self):
         return "{},{}".format(self.idcard,self.address)
      class Meta:
         db_table = 'archives'
  • 增加数据
def addstudent(request):
     student = Student()
     student.sno = '180502'
     student.sname = '杨康'
     student.sage = 22
     student.save()
     return HttpResponse("增加了⼀个学⽣")
def addarchives(request):
     stu = Student.objects.get(pk='180503')
     arc = Archives()
     arc.idcard = '130098384893838953'
     arc.student = stu #学⽣对象必须已经保存到数据库,否则错误
     arc.save()
     return HttpResponse("增加档案")
  • 删除数据
def deletestudent(request):
     student = Student.objects.get(pk='180503')
     student.delete()
     return HttpResponse("删除学⽣")

  • 正向查询
def findstudent(request):
     # 获取学⽣信息
     student = Student.objects.first()
     print(student)
     # 通过学⽣对象获取档案信息
     archive = student.archives
     print(archive)
     return HttpResponse(student)
  • 反向查询
def findarchives(request):
     #获取档案记录
     archive = Archives.objects.first()
     #通过档案获取关联学⽣信息
     student = archive.student
     return HttpResponse(student)
  • 跨关系查询
def lookup(request):
    #根据档案查学⽣
     # student = Student.objects.get(archives__pk=1)
     student =
    Student.objects.get(archives__idcard='13009488384383838')
     #根据学⽣查档案
     archive = Archives.objects.get(student__sno='180501')
     return HttpResponse(archive)
  • on_delete
    • CASECADE 默认,默认级联删除数据
    • PROTECT 保护模式,当从表中存在级联记录的时候,删除主表记录会抛
      出保护异常,从表中不存在级联数据的时候,是允许删除的
    • SET_XXX
      • NULL 外键字段本身必须允许为空
      • DEFAULT 外键字段本身有默认值
    • DO_NOTHING 什么都不做

1.2 ⼀对多

⼀个出版社可以出版多本书,⼀本书只能被⼀个出版社出版。出版社和图书表属于
⼀对多,⼀对多⼀般将主表中的主键并到从表中做外键。在模型中⽤ForeignKey表
示多对⼀

class Publisher(models.Model):
     pname = models.CharField(max_length=100,null=True)
     def __str__(self):
     return self.pname

    class Meta:
     db_table = 'publisher'
class Book(models.Model):
     bname = models.CharField(max_length=200,null=True)
     #多对⼀模型通过ForeignKey表示多对⼀
     #如果publisher定义在book之后,第⼀个参数应该⽤字符串'Publisher'
     publisher = models.ForeignKey(Publisher,on_delete=models.CASCADE,
    null=True,db_column='pid', #表中字段名
    related_name='books') #通过出版社
    查图书时使⽤的关系名
     def __str__(self):
     return self.bname
     class Meta:
     db_table = 'book'
  • 增加
pub = Publisher.objects.first()
pub.books.create(bname='红岩')
book = Book.objects.get(pk=1)
pub.books.add(book) #book必须已经保存到数据库
books = Book.objects.filter(pk__lt=5)
pub.books.bulk_create(list(books))
  • 删除和更新
pub = Publisher.objects.first()
pub.books.all().delete() #删除出版社出版的所有图书
pub.books.all().update(bname='ddd')
  • 正向查询
def findpublisher(req):
     pub = Publisher.objects.first()
     print(pub)
     # pub = Publisher()
     book = pub.book_set.all()
     print(book)
     return HttpResponse("查询出版社")
  • 反向查询
def findbook(req):
 book = Book.objects.first()
 return HttpResponse(book.publisher.pname)
  • 跨关系查询
def loopup(req):
 	# 根据图书获取出版社
     pub = Publisher.objects.get(book__bname='花样年华927937')
     print(pub)
     # 根据出版社获取图书
     books = Book.objects.filter(publisher__pname='科技出版社5829')
     print(books)
     return HttpResponse("跨关系查询")

1.3 多对多

⼀个买家可以购买多件商品,⼀件商品可以被多个买家购买,买家和商品之间构成
多对多关系,多对多关系必然会生成⼀张中间表:买家-商品表,记录商品和买家
的关系,该表包含商品表主键和买家表的主键

from django.db import models
# Create your models here.
class Buyer(models.Model):
     bname = models.CharField(max_length=30)
     level = models.IntegerField(default=1)
    
    class Goods(models.Model):
     gname = models.CharField(max_length=100)
     price = models.FloatField()
     buyer = models.ManyToManyField(Buyer) #这种写法自动生成第三张表,但
    我们无法直接控制
     def __str__(self):
     return self.gname +" "+ str(self.price)
#⼿动创建中间表
class Orders(models.Model):
 
    buyer =
    models.ForeignKey(Buyer,on_delete=models.CASCADE,db_column='bid')

    goods =
    models.ForeignKey('Goods',on_delete=models.CASCADE,db_column='gid')

    num = models.Integer(default=1)
    
    
class Goods(models.Model):
     gname = models.CharField(max_length=100)
     price = models.FloatField()
     buyer = models.ManyToManyField(Buyer,through='Orders')
  • 购买商品
def sellgoods(req):
     goods = Goods.objects.get(pk=randint(1,Goods.objects.count())) 
    goods.buyer.add(Buyer.objects.get(pk=randint(1,Buyer.objects.count())
    ))
     goods.save()
     return HttpResponse("剁⼿成功")
  • 删除商品
buyer = Buyer.objects.get(pk=13)
goods = Goods.objects.filter(pk__lt=10)
buyer.goods_set.clear() #删除所有商品
buyer.goods_set.remove(Goods.objects.get(pk=2)) #删除指定商品
  • 正向查询
def findgoods_by_buyer(req):
     buyer = Buyer.objects.get(pk=13)
     res = buyer.goods_set.all()
     print(res)
     return HttpResponse("由买家查询商品")
  • 反向查询
def findbuyer_by_goods(request):
     goods = Goods.objects.last()
     buyer = goods.buyer.all()
     print(buyer)
     return HttpResponse("由商品查询买家")

2.模型继承

django中的数据库模块提供了⼀个非常不错的功能,就是支持models的面向对
象,可以在models中添加Meta,指定是否抽象,然后进行继承

class Animal(models.Model):
    xxx
    class Meta:
        abstract = True/False

class Dog(Animal):
	xxx

默认模型就是允许继承的,但是默认的继承处理方式不是很合理:

  • 默认在父类中定义的字段会存在父类的表中,子类的数据通用部分会存在父表
    中,子类特有数据会在子表中,子类通过外键进行级联
  • 默认方式比较垃圾,效率比较低

开发中,需要将父类抽象化,在元信息中使用abstract=True

  • 抽象化的父类不会再数据库生成表了
  • 子类会将父类中的通用数据,复制到子表中
posted @ 2020-09-02 23:09  WillWeson  阅读(146)  评论(0编辑  收藏  举报