Django’s serialization framework provides a mechanism for “translating” Django objects into other formats. Usually these other formats will be text-based and used for sending Django objects over a wire, but it’s possible for a serializer to handle any format (text-based or not).
См.также
If you just want to get some data from your tables into a serialized form, you could use the dumpdata management command.
At the highest level, serializing data is a very simple operation:
from django.core import serializers
data = serializers.serialize("xml", SomeModel.objects.all())
The arguments to the serialize function are the format to serialize the data to (see Serialization formats) and a QuerySet to serialize. (Actually, the second argument can be any iterator that yields Django objects, but it’ll almost always be a QuerySet).
You can also use a serializer object directly:
XMLSerializer = serializers.get_serializer("xml")
xml_serializer = XMLSerializer()
xml_serializer.serialize(queryset)
data = xml_serializer.getvalue()
This is useful if you want to serialize data directly to a file-like object (which includes an HttpResponse):
out = open("file.xml", "w")
xml_serializer.serialize(SomeModel.objects.all(), stream=out)
Примечание
Calling get_serializer() with an unknown format will raise a SerializerDoesNotExist exception.
If you only want a subset of fields to be serialized, you can specify a fields argument to the serializer:
from django.core import serializers
data = serializers.serialize('xml', SomeModel.objects.all(), fields=('name','size'))
In this example, only the name and size attributes of each model will be serialized.
Примечание
Depending on your model, you may find that it is not possible to deserialize a model that only serializes a subset of its fields. If a serialized object doesn’t specify all the fields that are required by a model, the deserializer will not be able to save deserialized instances.
If you have a model that is defined using an abstract base class, you don’t have to do anything special to serialize that model. Just call the serializer on the object (or objects) that you want to serialize, and the output will be a complete representation of the serialized object.
However, if you have a model that uses multi-table inheritance, you also need to serialize all of the base classes for the model. This is because only the fields that are locally defined on the model will be serialized. For example, consider the following models:
class Place(models.Model):
name = models.CharField(max_length=50)
class Restaurant(Place):
serves_hot_dogs = models.BooleanField()
If you only serialize the Restaurant model:
data = serializers.serialize('xml', Restaurant.objects.all())
the fields on the serialized output will only contain the serves_hot_dogs attribute. The name attribute of the base class will be ignored.
In order to fully serialize your Restaurant instances, you will need to serialize the Place models as well:
all_objects = list(Restaurant.objects.all()) + list(Place.objects.all())
data = serializers.serialize('xml', all_objects)
Deserializing data is also a fairly simple operation:
for obj in serializers.deserialize("xml", data):
do_something_with(obj)
As you can see, the deserialize function takes the same format argument as serialize, a string or stream of data, and returns an iterator.
However, here it gets slightly complicated. The objects returned by the deserialize iterator aren’t simple Django objects. Instead, they are special DeserializedObject instances that wrap a created – but unsaved – object and any associated relationship data.
Calling DeserializedObject.save() saves the object to the database.
This ensures that deserializing is a non-destructive operation even if the data in your serialized representation doesn’t match what’s currently in the database. Usually, working with these DeserializedObject instances looks something like:
for deserialized_object in serializers.deserialize("xml", data):
if object_should_be_saved(deserialized_object):
deserialized_object.save()
In other words, the usual use is to examine the deserialized objects to make sure that they are “appropriate” for saving before doing so. Of course, if you trust your data source you could just save the object and move on.
The Django object itself can be inspected as deserialized_object.object.
Django supports a number of serialization formats, some of which require you to install third-party Python modules:
| Identifier | Information |
|---|---|
| xml | Serializes to and from a simple XML dialect. |
| json | Serializes to and from JSON (using a version of simplejson bundled with Django). |
| yaml | Serializes to YAML (YAML Ain’t a Markup Language). This serializer is only available if PyYAML is installed. |
If you’re using UTF-8 (or any other non-ASCII encoding) data with the JSON serializer, you must pass ensure_ascii=False as a parameter to the serialize() call. Otherwise, the output won’t be encoded correctly.
For example:
json_serializer = serializers.get_serializer("json")()
json_serializer.serialize(queryset, ensure_ascii=False, stream=response)
The Django source code includes the simplejson module. However, if you’re using Python 2.6 or later (which includes a builtin version of the module), Django will use the builtin json module automatically. If you have a system installed version that includes the C-based speedup extension, or your system version is more recent than the version shipped with Django (currently, 2.0.7), the system version will be used instead of the version included with Django.
Be aware that if you’re serializing using that module directly, not all Django output can be passed unmodified to simplejson. In particular, lazy translation objects need a special encoder written for them. Something like this will work:
from django.utils.functional import Promise
from django.utils.encoding import force_unicode
class LazyEncoder(simplejson.JSONEncoder):
def default(self, obj):
if isinstance(obj, Promise):
return force_unicode(obj)
return super(LazyEncoder, self).default(obj)
The default serialization strategy for foreign keys and many-to-many relations is to serialize the value of the primary key(s) of the objects in the relation. This strategy works well for most objects, but it can cause difficulty in some circumstances.
Consider the case of a list of objects that have a foreign key referencing ContentType. If you’re going to serialize an object that refers to a content type, then you need to have a way to refer to that content type to begin with. Since ContentType objects are automatically created by Django during the database synchronization process, the primary key of a given content type isn’t easy to predict; it will depend on how and when syncdb was executed. This is true for all models which automatically generate objects, notably including Permission, Group, and User.
Предупреждение
You should never include automatically generated objects in a fixture or other serialized data. By chance, the primary keys in the fixture may match those in the database and loading the fixture will have no effect. In the more likely case that they don’t match, the fixture loading will fail with an IntegrityError.
There is also the matter of convenience. An integer id isn’t always the most convenient way to refer to an object; sometimes, a more natural reference would be helpful.
It is for these reasons that Django provides natural keys. A natural key is a tuple of values that can be used to uniquely identify an object instance without using the primary key value.
Consider the following two models:
from django.db import models
class Person(models.Model):
first_name = models.CharField(max_length=100)
last_name = models.CharField(max_length=100)
birthdate = models.DateField()
class Meta:
unique_together = (('first_name', 'last_name'),)
class Book(models.Model):
name = models.CharField(max_length=100)
author = models.ForeignKey(Person)
Ordinarily, serialized data for Book would use an integer to refer to the author. For example, in JSON, a Book might be serialized as:
...
{
"pk": 1,
"model": "store.book",
"fields": {
"name": "Mostly Harmless",
"author": 42
}
}
...
This isn’t a particularly natural way to refer to an author. It requires that you know the primary key value for the author; it also requires that this primary key value is stable and predictable.
However, if we add natural key handling to Person, the fixture becomes much more humane. To add natural key handling, you define a default Manager for Person with a get_by_natural_key() method. In the case of a Person, a good natural key might be the pair of first and last name:
from django.db import models
class PersonManager(models.Manager):
def get_by_natural_key(self, first_name, last_name):
return self.get(first_name=first_name, last_name=last_name)
class Person(models.Model):
objects = PersonManager()
first_name = models.CharField(max_length=100)
last_name = models.CharField(max_length=100)
birthdate = models.DateField()
class Meta:
unique_together = (('first_name', 'last_name'),)
Now books can use that natural key to refer to Person objects:
...
{
"pk": 1,
"model": "store.book",
"fields": {
"name": "Mostly Harmless",
"author": ["Douglas", "Adams"]
}
}
...
When you try to load this serialized data, Django will use the get_by_natural_key() method to resolve ["Douglas", "Adams"] into the primary key of an actual Person object.
Примечание
Whatever fields you use for a natural key must be able to uniquely identify an object. This will usually mean that your model will have a uniqueness clause (either unique=True on a single field, or unique_together over multiple fields) for the field or fields in your natural key. However, uniqueness doesn’t need to be enforced at the database level. If you are certain that a set of fields will be effectively unique, you can still use those fields as a natural key.
So how do you get Django to emit a natural key when serializing an object? Firstly, you need to add another method – this time to the model itself:
class Person(models.Model):
objects = PersonManager()
first_name = models.CharField(max_length=100)
last_name = models.CharField(max_length=100)
birthdate = models.DateField()
def natural_key(self):
return (self.first_name, self.last_name)
class Meta:
unique_together = (('first_name', 'last_name'),)
That method should always return a natural key tuple – in this example, (first name, last name). Then, when you call serializers.serialize(), you provide a use_natural_keys=True argument:
>>> serializers.serialize('json', [book1, book2], indent=2, use_natural_keys=True)
When use_natural_keys=True is specified, Django will use the natural_key() method to serialize any reference to objects of the type that defines the method.
If you are using dumpdata to generate serialized data, you use the –natural command line flag to generate natural keys.
Примечание
You don’t need to define both natural_key() and get_by_natural_key(). If you don’t want Django to output natural keys during serialization, but you want to retain the ability to load natural keys, then you can opt to not implement the natural_key() method.
Conversely, if (for some strange reason) you want Django to output natural keys during serialization, but not be able to load those key values, just don’t define the get_by_natural_key() method.
Since natural keys rely on database lookups to resolve references, it is important that the data exists before it is referenced. You can’t make a forward reference with natural keys – the data you’re referencing must exist before you include a natural key reference to that data.
To accommodate this limitation, calls to dumpdata that use the --natural option will serialize any model with a natural_key() method before serializing standard primary key objects.
However, this may not always be enough. If your natural key refers to another object (by using a foreign key or natural key to another object as part of a natural key), then you need to be able to ensure that the objects on which a natural key depends occur in the serialized data before the natural key requires them.
To control this ordering, you can define dependencies on your natural_key() methods. You do this by setting a dependencies attribute on the natural_key() method itself.
For example, let’s add a natural key to the Book model from the example above:
class Book(models.Model):
name = models.CharField(max_length=100)
author = models.ForeignKey(Person)
def natural_key(self):
return (self.name,) + self.author.natural_key()
The natural key for a Book is a combination of its name and its author. This means that Person must be serialized before Book. To define this dependency, we add one extra line:
def natural_key(self):
return (self.name,) + self.author.natural_key()
natural_key.dependencies = ['example_app.person']
This definition ensures that all Person objects are serialized before any Book objects. In turn, any object referencing Book will be serialized after both Person and Book have been serialized.
Aug 21, 2013