如何在多对多Django中列出对象

Question

考虑这个模型

class Dealership(models.Model):
    dealership = models.CharField(max_length=50)

class Ordered(models.Model):
    customer = models.ForeignKey("Customer")
    dealership = models.ManyToManyField("Dealership")
    status = models.CharField(max_length=2, choices=status_list, default='p')

我试试

$ ./manage.py shell
>>> from new_way.core.models import Ordered, Dealership
>>> q = Ordered.objects.all()[:5]
>>> [i.dealership for i in q.dealership.all]

并产生错误

Traceback (most recent call last):
  File "<console>", line 1, in <module>
AttributeError: 'QuerySet' object has no attribute 'dealership'

如何退货

Ordered.dealership.dealership

所有经销店均按订购。

Answer 1

你很亲密：

变化：

[i.dealership for i in q.dealership.all]

到：

[dealership for dealership in q.dealership.all()]

这是我的模型在一个项目中的 M2M 关系之一的示例输出，它演示了您应该从列表理解中看到的内容。 shared_with 是一个名为Profile 的模型的 M2M 字段：

>>> from polls.models import Poll
>>> polls = Poll.objects.all()
>>> for p in polls:
...   print([sw for sw in p.shared_with.all()])
... 
[<Profile: kerri>]
[<Profile: kerri>]
[]
[<Profile: jake>, <Profile: kerri>]
[<Profile: jake>, <Profile: kerri>]
[<Profile: jake>, <Profile: kerri>]
[<Profile: btaylor>]
[<Profile: jake>, <Profile: kerri>]

Answer 2

应该是：

q.dealership.all() #gives a list of objects 

您可以直接执行此操作，而不是使用列表推导（在上面的答案中）。

示例：（取自docs）

from django.db import models

class Publication(models.Model):
    title = models.CharField(max_length=30)

    def __str__(self):              # __unicode__ on Python 2
        return self.title

    class Meta:
        ordering = ('title',)

class Article(models.Model):
    headline = models.CharField(max_length=100)
    publications = models.ManyToManyField(Publication)

    def __str__(self):              # __unicode__ on Python 2
        return self.headline

    class Meta:
        ordering = ('headline',)

创建几个出版物：

p1 = Publication(title='The Python Journal')
p1.save()
p2 = Publication(title='Science News')
p2.save()
p3 = Publication(title='Science Weekly')
p3.save()

现在，创建一个Article 并将Article 与Publication 关联：

a1 = Article(headline='NASA uses Python')
a1.save()
a1.publications.add(p1, p2)
a1.publications.add(p3)

a1.publications.all()
[<Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]