==========================
Serializing Django objects
==========================

Django's serialization framework provides a mechanism for "translating" Django
models into other formats. Usually these other formats will be text-based and
used for sending Django data over a wire, but it's possible for a
serializer to handle any format (text-based or not).

.. seealso::

    If you just want to get some data from your tables into a serialized
    form, you could use the :djadmin:`dumpdata` management command.

Serializing data
================

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
:class:`~django.db.models.query.QuerySet` to serialize. (Actually, the second
argument can be any iterator that yields Django model instances, but it'll
almost always be a QuerySet).

.. function:: django.core.serializers.get_serializer(format)

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 :class:`~django.http.HttpResponse`)::

    with open("file.xml", "w") as out:
        xml_serializer.serialize(SomeModel.objects.all(), stream=out)

.. note::

    Calling :func:`~django.core.serializers.get_serializer` with an unknown
    :ref:`format <serialization-formats>` will raise a
    ``django.core.serializers.SerializerDoesNotExist`` exception.

.. _subset-of-fields:

Subset of fields
----------------

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. The primary key is always serialized as the ``pk`` element in the
resulting output; it never appears in the ``fields`` part.

.. note::

    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.

Inherited models
----------------

If you have a model that is defined using an :ref:`abstract base class
<abstract-base-classes>`, 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 :ref:`multi-table inheritance
<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(default=False)

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 = [*Restaurant.objects.all(), *Place.objects.all()]
    data = serializers.serialize('xml', all_objects)

Deserializing data
==================

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.

.. note::

    If the ``pk`` attribute in the serialized data doesn't exist or is
    null, a new instance will be saved 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``.
If fields in the serialized data do not exist on a model, a
``DeserializationError`` will be raised unless the ``ignorenonexistent``
argument is passed in as ``True``::

    serializers.deserialize("xml", data, ignorenonexistent=True)

.. _serialization-formats:

Serialization formats
=====================

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_.

``yaml``    Serializes to YAML (YAML Ain't a Markup Language). This
            serializer is only available if PyYAML_ is installed.
==========  ==============================================================

.. _json: https://json.org/
.. _PyYAML: https://pyyaml.org/

XML
---

The basic XML serialization format is quite simple::

    <?xml version="1.0" encoding="utf-8"?>
    <django-objects version="1.0">
        <object pk="123" model="sessions.session">
            <field type="DateTimeField" name="expire_date">2013-01-16T08:16:59.844560+00:00</field>
            <!-- ... -->
        </object>
    </django-objects>

The whole collection of objects that is either serialized or deserialized is
represented by a ``<django-objects>``-tag which contains multiple
``<object>``-elements. Each such object has two attributes: "pk" and "model",
the latter being represented by the name of the app ("sessions") and the
lowercase name of the model ("session") separated by a dot.

Each field of the object is serialized as a ``<field>``-element sporting the
fields "type" and "name". The text content of the element represents the value
that should be stored.

Foreign keys and other relational fields are treated a little bit differently::

    <object pk="27" model="auth.permission">
        <!-- ... -->
        <field to="contenttypes.contenttype" name="content_type" rel="ManyToOneRel">9</field>
        <!-- ... -->
    </object>

In this example we specify that the ``auth.Permission`` object with the PK 27
has a foreign key to the ``contenttypes.ContentType`` instance with the PK 9.

ManyToMany-relations are exported for the model that binds them. For instance,
the ``auth.User`` model has such a relation to the ``auth.Permission`` model::

    <object pk="1" model="auth.user">
        <!-- ... -->
        <field to="auth.permission" name="user_permissions" rel="ManyToManyRel">
            <object pk="46"></object>
            <object pk="47"></object>
        </field>
    </object>

This example links the given user with the permission models with PKs 46 and 47.

.. admonition:: Control characters

    If the content to be serialized contains control characters that are not
    accepted in the XML 1.0 standard, the serialization will fail with a
    :exc:`ValueError` exception. Read also the W3C's explanation of `HTML,
    XHTML, XML and Control Codes
    <https://www.w3.org/International/questions/qa-controls>`_.

.. _serialization-formats-json:

JSON
----

When staying with the same example data as before it would be serialized as
JSON in the following way::

    [
        {
            "pk": "4b678b301dfd8a4e0dad910de3ae245b",
            "model": "sessions.session",
            "fields": {
                "expire_date": "2013-01-16T08:16:59.844Z",
                ...
            }
        }
    ]

The formatting here is a bit simpler than with XML. The whole collection
is just represented as an array and the objects are represented by JSON objects
with three properties: "pk", "model" and "fields". "fields" is again an object
containing each field's name and value as property and property-value
respectively.

Foreign keys just have the PK of the linked object as property value.
ManyToMany-relations are serialized for the model that defines them and are
represented as a list of PKs.

Be aware that not all Django output can be passed unmodified to :mod:`json`.
For example, if you have some custom type in an object to be serialized, you'll
have to write a custom :mod:`json` encoder for it. Something like this will
work::

    from django.core.serializers.json import DjangoJSONEncoder

    class LazyEncoder(DjangoJSONEncoder):
        def default(self, obj):
            if isinstance(obj, YourCustomType):
                return str(obj)
            return super().default(obj)

You can then pass ``cls=LazyEncoder`` to the ``serializers.serialize()``
function::

    from django.core.serializers import serialize

    serialize('json', SomeModel.objects.all(), cls=LazyEncoder)

Also note that GeoDjango provides a :doc:`customized GeoJSON serializer
</ref/contrib/gis/serializers>`.

``DjangoJSONEncoder``
~~~~~~~~~~~~~~~~~~~~~

.. class:: django.core.serializers.json.DjangoJSONEncoder

The JSON serializer uses ``DjangoJSONEncoder`` for encoding. A subclass of
:class:`~json.JSONEncoder`, it handles these additional types:

:class:`~datetime.datetime`
   A string of the form ``YYYY-MM-DDTHH:mm:ss.sssZ`` or
   ``YYYY-MM-DDTHH:mm:ss.sss+HH:MM`` as defined in `ECMA-262`_.

:class:`~datetime.date`
   A string of the form ``YYYY-MM-DD`` as defined in `ECMA-262`_.

:class:`~datetime.time`
   A string of the form ``HH:MM:ss.sss`` as defined in `ECMA-262`_.

:class:`~datetime.timedelta`
   A string representing a duration as defined in ISO-8601. For example,
   ``timedelta(days=1, hours=2, seconds=3.4)`` is represented as
   ``'P1DT02H00M03.400000S'``.

:class:`~decimal.Decimal`, ``Promise`` (``django.utils.functional.lazy()`` objects), :class:`~uuid.UUID`
   A string representation of the object.

.. _ecma-262: https://www.ecma-international.org/ecma-262/5.1/#sec-15.9.1.15

YAML
----

YAML serialization looks quite similar to JSON. The object list is serialized
as a sequence mappings with the keys "pk", "model" and "fields". Each field is
again a mapping with the key being name of the field and the value the value::

    -   fields: {expire_date: !!timestamp '2013-01-16 08:16:59.844560+00:00'}
        model: sessions.session
        pk: 4b678b301dfd8a4e0dad910de3ae245b

Referential fields are again just represented by the PK or sequence of PKs.

.. _topics-serialization-natural-keys:

Natural keys
============

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
:class:`~django.contrib.contenttypes.models.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 :djadmin:`migrate` was executed. This is true for all
models which automatically generate objects, notably including
:class:`~django.contrib.auth.models.Permission`,
:class:`~django.contrib.auth.models.Group`, and
:class:`~django.contrib.auth.models.User`.

.. warning::

    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 :class:`~django.db.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.

Deserialization of natural keys
-------------------------------

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, on_delete=models.CASCADE)

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):
        first_name = models.CharField(max_length=100)
        last_name = models.CharField(max_length=100)
        birthdate = models.DateField()

        objects = PersonManager()

        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.

.. note::

    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.

Deserialization of objects with no primary key will always check whether the
model's manager has a ``get_by_natural_key()`` method and if so, use it to
populate the deserialized object's primary key.

Serialization of natural keys
-----------------------------

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):
        first_name = models.CharField(max_length=100)
        last_name = models.CharField(max_length=100)
        birthdate = models.DateField()

        objects = PersonManager()

        class Meta:
            unique_together = (('first_name', 'last_name'),)

        def natural_key(self):
            return (self.first_name, self.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 ``use_natural_foreign_keys=True``
or ``use_natural_primary_keys=True`` arguments::

    >>> serializers.serialize('json', [book1, book2], indent=2,
    ...      use_natural_foreign_keys=True, use_natural_primary_keys=True)

When ``use_natural_foreign_keys=True`` is specified, Django will use the
``natural_key()`` method to serialize any foreign key reference to objects
of the type that defines the method.

When ``use_natural_primary_keys=True`` is specified, Django will not provide the
primary key in the serialized data of this object since it can be calculated
during deserialization::

    ...
    {
        "model": "store.person",
        "fields": {
            "first_name": "Douglas",
            "last_name": "Adams",
            "birth_date": "1952-03-11",
        }
    }
    ...

This can be useful when you need to load serialized data into an existing
database and you cannot guarantee that the serialized primary key value is not
already in use, and do not need to ensure that deserialized objects retain the
same primary keys.

If you are using :djadmin:`dumpdata` to generate serialized data, use the
:option:`dumpdata --natural-foreign` and :option:`dumpdata --natural-primary`
command line flags to generate natural keys.

.. note::

    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.

.. _natural-keys-and-forward-references:

Natural keys and forward references
-----------------------------------

.. versionadded:: 2.2

Sometimes when you use :ref:`natural foreign keys
<topics-serialization-natural-keys>` you'll need to deserialize data where
an object has a foreign key referencing another object that hasn't yet been
deserialized. This is called a "forward reference".

For instance, suppose you have the following objects in your fixture::

    ...
    {
        "model": "store.book",
        "fields": {
            "name": "Mostly Harmless",
            "author": ["Douglas", "Adams"]
        }
    },
    ...
    {
        "model": "store.person",
        "fields": {
            "first_name": "Douglas",
            "last_name": "Adams"
        }
    },
    ...

In order to handle this situation, you need to pass
``handle_forward_references=True`` to ``serializers.deserialize()``. This will
set the ``deferred_fields`` attribute on the ``DeserializedObject`` instances.
You'll need to keep track of ``DeserializedObject`` instances where this
attribute isn't ``None`` and later call ``save_deferred_fields()`` on them.

Typical usage looks like this::

    objs_with_deferred_fields = []

    for obj in serializers.deserialize('xml', data, handle_forward_references=True):
        obj.save()
        if obj.deferred_fields is not None:
            objs_with_deferred_fields.append(obj)

    for obj in objs_with_deferred_fields:
        obj.save_deferred_fields()

For this to work, the ``ForeignKey`` on the referencing model must have
``null=True``.

Dependencies during serialization
---------------------------------

It's often possible to avoid explicitly having to handle forward references by
taking care with the ordering of objects within a fixture.

To help with this, calls to :djadmin:`dumpdata` that use the :option:`dumpdata
--natural-foreign` 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, on_delete=models.CASCADE)

        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.
