thirdparty/google_appengine/lib/django/tests/modeltests/serializers/models.py
author Daniel Hans <Daniel.M.Hans@gmail.com>
Fri, 07 Aug 2009 01:27:24 +0200
changeset 2736 8f3935f0f4ba
parent 109 620f9b141567
permissions -rwxr-xr-x
Argument store added to updateEntityProperties. This argument determines if an entity should be stored in the data model after its properties are updated. It may be useful, for example, along with tasks (Task Queue API). One may want to make some modifications to an entity during execution of a task, but the developer is sure that at least one new task, which also wants to modify the entity, will be queued, so he or she can just update the entity without saving the changes to the data model, set the entity in memcache and the following task (which is to be executed very shortly) is to retrive the current entity from the memcache (without any expensive calls to the actual data model).

"""
41. Serialization

``django.core.serializers`` provides interfaces to converting Django querysets
to and from "flat" data (i.e. strings).
"""

from django.db import models

class Category(models.Model):
    name = models.CharField(maxlength=20)

    class Meta:
       ordering = ('name',)

    def __str__(self):
        return self.name

class Author(models.Model):
    name = models.CharField(maxlength=20)

    class Meta:
        ordering = ('name',)
    
    def __str__(self):
        return self.name

class Article(models.Model):
    author = models.ForeignKey(Author)
    headline = models.CharField(maxlength=50)
    pub_date = models.DateTimeField()
    categories = models.ManyToManyField(Category)

    class Meta:
       ordering = ('pub_date',)

    def __str__(self):
        return self.headline

class AuthorProfile(models.Model):
    author = models.OneToOneField(Author)
    date_of_birth = models.DateField()
    
    def __str__(self):
        return "Profile of %s" % self.author

__test__ = {'API_TESTS':"""
# Create some data:
>>> from datetime import datetime
>>> sports = Category(name="Sports")
>>> music = Category(name="Music")
>>> op_ed = Category(name="Op-Ed")
>>> sports.save(); music.save(); op_ed.save()

>>> joe = Author(name="Joe")
>>> jane = Author(name="Jane")
>>> joe.save(); jane.save()

>>> a1 = Article(
...     author = jane,
...     headline = "Poker has no place on ESPN",
...     pub_date = datetime(2006, 6, 16, 11, 00))
>>> a2 = Article(
...     author = joe,
...     headline = "Time to reform copyright",
...     pub_date = datetime(2006, 6, 16, 13, 00))
>>> a1.save(); a2.save()
>>> a1.categories = [sports, op_ed]
>>> a2.categories = [music, op_ed]

# Serialize a queryset to XML
>>> from django.core import serializers
>>> xml = serializers.serialize("xml", Article.objects.all())

# The output is valid XML
>>> from xml.dom import minidom
>>> dom = minidom.parseString(xml)

# Deserializing has a similar interface, except that special DeserializedObject
# instances are returned.  This is because data might have changed in the 
# database since the data was serialized (we'll simulate that below).
>>> for obj in serializers.deserialize("xml", xml):
...     print obj
<DeserializedObject: Poker has no place on ESPN>
<DeserializedObject: Time to reform copyright>

# Deserializing data with different field values doesn't change anything in the
# database until we call save():
>>> xml = xml.replace("Poker has no place on ESPN", "Poker has no place on television")
>>> objs = list(serializers.deserialize("xml", xml))

# Even those I deserialized, the database hasn't been touched
>>> Article.objects.all()
[<Article: Poker has no place on ESPN>, <Article: Time to reform copyright>]

# But when I save, the data changes as you might except.
>>> objs[0].save()
>>> Article.objects.all()
[<Article: Poker has no place on television>, <Article: Time to reform copyright>]

# Django also ships with a built-in JSON serializers
>>> json = serializers.serialize("json", Category.objects.filter(pk=2))
>>> json
'[{"pk": "2", "model": "serializers.category", "fields": {"name": "Music"}}]'

# You can easily create new objects by deserializing data with an empty PK
# (It's easier to demo this with JSON...)
>>> new_author_json = '[{"pk": null, "model": "serializers.author", "fields": {"name": "Bill"}}]'
>>> for obj in serializers.deserialize("json", new_author_json):
...     obj.save()
>>> Author.objects.all()
[<Author: Bill>, <Author: Jane>, <Author: Joe>]

# All the serializers work the same
>>> json = serializers.serialize("json", Article.objects.all())
>>> for obj in serializers.deserialize("json", json):
...     print obj
<DeserializedObject: Poker has no place on television>
<DeserializedObject: Time to reform copyright>

>>> json = json.replace("Poker has no place on television", "Just kidding; I love TV poker")
>>> for obj in serializers.deserialize("json", json):
...     obj.save()

>>> Article.objects.all()
[<Article: Just kidding; I love TV poker>, <Article: Time to reform copyright>]

# If you use your own primary key field (such as a OneToOneField), 
# it doesn't appear in the serialized field list - it replaces the
# pk identifier.
>>> profile = AuthorProfile(author=joe, date_of_birth=datetime(1970,1,1))
>>> profile.save()

>>> json = serializers.serialize("json", AuthorProfile.objects.all())
>>> json
'[{"pk": "1", "model": "serializers.authorprofile", "fields": {"date_of_birth": "1970-01-01"}}]'

>>> for obj in serializers.deserialize("json", json):
...     print obj
<DeserializedObject: Profile of Joe>

# Objects ids can be referenced before they are defined in the serialization data
# However, the deserialization process will need to be contained within a transaction
>>> json = '[{"pk": "3", "model": "serializers.article", "fields": {"headline": "Forward references pose no problem", "pub_date": "2006-06-16 15:00:00", "categories": [4, 1], "author": 4}}, {"pk": "4", "model": "serializers.category", "fields": {"name": "Reference"}}, {"pk": "4", "model": "serializers.author", "fields": {"name": "Agnes"}}]'
>>> from django.db import transaction
>>> transaction.enter_transaction_management()
>>> transaction.managed(True)
>>> for obj in serializers.deserialize("json", json):
...     obj.save()

>>> transaction.commit()
>>> transaction.leave_transaction_management()

>>> article = Article.objects.get(pk=3)
>>> article
<Article: Forward references pose no problem>
>>> article.categories.all()
[<Category: Reference>, <Category: Sports>]
>>> article.author
<Author: Agnes>

"""}