mirror of https://github.com/django/django.git
159 lines
5.7 KiB
Plaintext
159 lines
5.7 KiB
Plaintext
==========================
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Serializing Django objects
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==========================
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.. note::
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This API is currently under heavy development and may change --
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perhaps drastically -- in the future.
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You have been warned.
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Django's serialization framework provides a mechanism for "translating" Django
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objects into other formats. Usually these other formats will be text-based and
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used for sending Django objects over a wire, but it's possible for a
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serializer to handle any format (text-based or not).
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Serializing data
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----------------
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At the highest level, serializing data is a very simple operation::
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from django.core import serializers
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data = serializers.serialize("xml", SomeModel.objects.all())
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The arguments to the ``serialize`` function are the format to serialize the
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data to (see `Serialization formats`_) and a QuerySet_ to serialize.
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(Actually, the second argument can be any iterator that yields Django objects,
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but it'll almost always be a QuerySet).
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.. _QuerySet: ../db-api/#retrieving-objects
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You can also use a serializer object directly::
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XMLSerializer = serializers.get_serializer("xml")
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xml_serializer = XMLSerializer()
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xml_serializer.serialize(queryset)
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data = xml_serializer.getvalue()
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This is useful if you want to serialize data directly to a file-like object
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(which includes a HTTPResponse_)::
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out = open("file.xml", "w")
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xml_serializer.serialize(SomeModel.objects.all(), stream=out)
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.. _HTTPResponse: ../request_response/#httpresponse-objects
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Subset of fields
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~~~~~~~~~~~~~~~~
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If you only want a subset of fields to be serialized, you can
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specify a ``fields`` argument to the serializer::
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from django.core import serializers
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data = serializers.serialize('xml', SomeModel.objects.all(), fields=('name','size'))
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In this example, only the ``name`` and ``size`` attributes of each model will
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be serialized.
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.. note::
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Depending on your model, you may find that it is not possible to deserialize
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a model that only serializes a subset of its fields. If a serialized object
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doesn't specify all the fields that are required by a model, the deserializer
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will not be able to save deserialized instances.
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Deserializing data
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------------------
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Deserializing data is also a fairly simple operation::
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for obj in serializers.deserialize("xml", data):
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do_something_with(obj)
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As you can see, the ``deserialize`` function takes the same format argument as
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``serialize``, a string or stream of data, and returns an iterator.
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However, here it gets slightly complicated. The objects returned by the
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``deserialize`` iterator *aren't* simple Django objects. Instead, they are
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special ``DeserializedObject`` instances that wrap a created -- but unsaved --
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object and any associated relationship data.
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Calling ``DeserializedObject.save()`` saves the object to the database.
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This ensures that deserializing is a non-destructive operation even if the
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data in your serialized representation doesn't match what's currently in the
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database. Usually, working with these ``DeserializedObject`` instances looks
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something like::
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for deserialized_object in serializers.deserialize("xml", data):
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if object_should_be_saved(deserialized_object):
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obj.save()
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In other words, the usual use is to examine the deserialized objects to make
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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.
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The Django object itself can be inspected as ``deserialized_object.object``.
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Serialization formats
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---------------------
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Django "ships" with a few included serializers:
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========== ==============================================================
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Identifier Information
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========== ==============================================================
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``xml`` Serializes to and from a simple XML dialect.
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``json`` Serializes to and from JSON_ (using a version of simplejson_
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bundled with Django).
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``python`` Translates to and from "simple" Python objects (lists, dicts,
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strings, etc.). Not really all that useful on its own, but
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used as a base for other serializers.
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``yaml`` Serializes to YAML (Yet Another Markup Lanuage). This
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serializer is only available if PyYAML_ is installed.
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========== ==============================================================
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.. _json: http://json.org/
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.. _simplejson: http://undefined.org/python/#simplejson
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.. _PyYAML: http://www.pyyaml.org/
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Notes for specific serialization formats
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----------------------------------------
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json
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~~~~
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If you're using UTF-8 (or any other non-ASCII encoding) data with the JSON
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serializer, you must pass ``ensure_ascii=False`` as a parameter to the
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``serialize()`` call. Otherwise, the output won't be encoded correctly.
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For example::
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json_serializer = serializers.get_serializer("json")()
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json_serializer.serialize(queryset, ensure_ascii=False, stream=response)
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Django ships with a copy of simplejson_ in the source. Be aware, that if
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you're using that for serializing directly that not all Django output can be
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passed unmodified to simplejson. In particular, `lazy translation objects`_
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need a `special encoder`_ written for them. Something like this will work::
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from django.utils.functional import Promise
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from django.utils.encoding import force_unicode
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class LazyEncoder(simplejson.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, Promise):
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return force_unicode(obj)
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return obj
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.. _lazy translation objects: ../i18n/#lazy-translation
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.. _special encoder: http://svn.red-bean.com/bob/simplejson/tags/simplejson-1.7/docs/index.html
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Writing custom serializers
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``````````````````````````
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XXX ...
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