django-rest-framework/rest_framework/serializers.py

1510 lines
57 KiB
Python

"""
Serializers and ModelSerializers are similar to Forms and ModelForms.
Unlike forms, they are not constrained to dealing with HTML output, and
form encoded input.
Serialization in REST framework is a two-phase process:
1. Serializers marshal between complex types like model instances, and
python primitives.
2. The process of marshalling between python primitives and request and
response content is handled by parsers and renderers.
"""
from __future__ import unicode_literals
import traceback
import warnings
from django.db import models
from django.db.models import DurationField as ModelDurationField
from django.db.models.fields import Field as DjangoModelField
from django.db.models.fields import FieldDoesNotExist
from django.utils.functional import cached_property
from django.utils.translation import ugettext_lazy as _
from rest_framework.compat import JSONField as ModelJSONField
from rest_framework.compat import postgres_fields, unicode_to_repr
from rest_framework.utils import model_meta
from rest_framework.utils.field_mapping import (
ClassLookupDict, get_field_kwargs, get_nested_relation_kwargs,
get_relation_kwargs, get_url_kwargs
)
from rest_framework.utils.serializer_helpers import (
BindingDict, BoundField, NestedBoundField, ReturnDict, ReturnList
)
from rest_framework.validators import (
UniqueForDateValidator, UniqueForMonthValidator, UniqueForYearValidator,
UniqueTogetherValidator
)
# Note: We do the following so that users of the framework can use this style:
#
# example_field = serializers.CharField(...)
#
# This helps keep the separation between model fields, form fields, and
# serializer fields more explicit.
from rest_framework.fields import * # NOQA # isort:skip
from rest_framework.relations import * # NOQA # isort:skip
# We assume that 'validators' are intended for the child serializer,
# rather than the parent serializer.
LIST_SERIALIZER_KWARGS = (
'read_only', 'write_only', 'required', 'default', 'initial', 'source',
'label', 'help_text', 'style', 'error_messages', 'allow_empty',
'instance', 'data', 'partial', 'context', 'allow_null'
)
ALL_FIELDS = '__all__'
# BaseSerializer
# --------------
class BaseSerializer(Field):
"""
The BaseSerializer class provides a minimal class which may be used
for writing custom serializer implementations.
Note that we strongly restrict the ordering of operations/properties
that may be used on the serializer in order to enforce correct usage.
In particular, if a `data=` argument is passed then:
.is_valid() - Available.
.initial_data - Available.
.validated_data - Only available after calling `is_valid()`
.errors - Only available after calling `is_valid()`
.data - Only available after calling `is_valid()`
If a `data=` argument is not passed then:
.is_valid() - Not available.
.initial_data - Not available.
.validated_data - Not available.
.errors - Not available.
.data - Available.
"""
def __init__(self, instance=None, data=empty, **kwargs):
self.instance = instance
if data is not empty:
self.initial_data = data
self.partial = kwargs.pop('partial', False)
self._context = kwargs.pop('context', {})
kwargs.pop('many', None)
super(BaseSerializer, self).__init__(**kwargs)
def __new__(cls, *args, **kwargs):
# We override this method in order to automagically create
# `ListSerializer` classes instead when `many=True` is set.
if kwargs.pop('many', False):
return cls.many_init(*args, **kwargs)
return super(BaseSerializer, cls).__new__(cls, *args, **kwargs)
@classmethod
def many_init(cls, *args, **kwargs):
"""
This method implements the creation of a `ListSerializer` parent
class when `many=True` is used. You can customize it if you need to
control which keyword arguments are passed to the parent, and
which are passed to the child.
Note that we're over-cautious in passing most arguments to both parent
and child classes in order to try to cover the general case. If you're
overriding this method you'll probably want something much simpler, eg:
@classmethod
def many_init(cls, *args, **kwargs):
kwargs['child'] = cls()
return CustomListSerializer(*args, **kwargs)
"""
allow_empty = kwargs.pop('allow_empty', None)
child_serializer = cls(*args, **kwargs)
list_kwargs = {
'child': child_serializer,
}
if allow_empty is not None:
list_kwargs['allow_empty'] = allow_empty
list_kwargs.update({
key: value for key, value in kwargs.items()
if key in LIST_SERIALIZER_KWARGS
})
meta = getattr(cls, 'Meta', None)
list_serializer_class = getattr(meta, 'list_serializer_class', ListSerializer)
return list_serializer_class(*args, **list_kwargs)
def to_internal_value(self, data):
raise NotImplementedError('`to_internal_value()` must be implemented.')
def to_representation(self, instance):
raise NotImplementedError('`to_representation()` must be implemented.')
def update(self, instance, validated_data):
raise NotImplementedError('`update()` must be implemented.')
def create(self, validated_data):
raise NotImplementedError('`create()` must be implemented.')
def save(self, **kwargs):
assert not hasattr(self, 'save_object'), (
'Serializer `%s.%s` has old-style version 2 `.save_object()` '
'that is no longer compatible with REST framework 3. '
'Use the new-style `.create()` and `.update()` methods instead.' %
(self.__class__.__module__, self.__class__.__name__)
)
assert hasattr(self, '_errors'), (
'You must call `.is_valid()` before calling `.save()`.'
)
assert not self.errors, (
'You cannot call `.save()` on a serializer with invalid data.'
)
# Guard against incorrect use of `serializer.save(commit=False)`
assert 'commit' not in kwargs, (
"'commit' is not a valid keyword argument to the 'save()' method. "
"If you need to access data before committing to the database then "
"inspect 'serializer.validated_data' instead. "
"You can also pass additional keyword arguments to 'save()' if you "
"need to set extra attributes on the saved model instance. "
"For example: 'serializer.save(owner=request.user)'.'"
)
assert not hasattr(self, '_data'), (
"You cannot call `.save()` after accessing `serializer.data`."
"If you need to access data before committing to the database then "
"inspect 'serializer.validated_data' instead. "
)
validated_data = dict(
list(self.validated_data.items()) +
list(kwargs.items())
)
if self.instance is not None:
self.instance = self.update(self.instance, validated_data)
assert self.instance is not None, (
'`update()` did not return an object instance.'
)
else:
self.instance = self.create(validated_data)
assert self.instance is not None, (
'`create()` did not return an object instance.'
)
return self.instance
def is_valid(self, raise_exception=False):
assert not hasattr(self, 'restore_object'), (
'Serializer `%s.%s` has old-style version 2 `.restore_object()` '
'that is no longer compatible with REST framework 3. '
'Use the new-style `.create()` and `.update()` methods instead.' %
(self.__class__.__module__, self.__class__.__name__)
)
assert hasattr(self, 'initial_data'), (
'Cannot call `.is_valid()` as no `data=` keyword argument was '
'passed when instantiating the serializer instance.'
)
if not hasattr(self, '_validated_data'):
try:
self._validated_data = self.run_validation(self.initial_data)
except ValidationError as exc:
self._validated_data = {}
self._errors = exc.detail
else:
self._errors = {}
if self._errors and raise_exception:
raise ValidationError(self.errors)
return not bool(self._errors)
@property
def data(self):
if hasattr(self, 'initial_data') and not hasattr(self, '_validated_data'):
msg = (
'When a serializer is passed a `data` keyword argument you '
'must call `.is_valid()` before attempting to access the '
'serialized `.data` representation.\n'
'You should either call `.is_valid()` first, '
'or access `.initial_data` instead.'
)
raise AssertionError(msg)
if not hasattr(self, '_data'):
if self.instance is not None and not getattr(self, '_errors', None):
self._data = self.to_representation(self.instance)
elif hasattr(self, '_validated_data') and not getattr(self, '_errors', None):
self._data = self.to_representation(self.validated_data)
else:
self._data = self.get_initial()
return self._data
@property
def errors(self):
if not hasattr(self, '_errors'):
msg = 'You must call `.is_valid()` before accessing `.errors`.'
raise AssertionError(msg)
return self._errors
@property
def validated_data(self):
if not hasattr(self, '_validated_data'):
msg = 'You must call `.is_valid()` before accessing `.validated_data`.'
raise AssertionError(msg)
return self._validated_data
# Serializer & ListSerializer classes
# -----------------------------------
class SerializerMetaclass(type):
"""
This metaclass sets a dictionary named `_declared_fields` on the class.
Any instances of `Field` included as attributes on either the class
or on any of its superclasses will be include in the
`_declared_fields` dictionary.
"""
@classmethod
def _get_declared_fields(cls, bases, attrs):
fields = [(field_name, attrs.pop(field_name))
for field_name, obj in list(attrs.items())
if isinstance(obj, Field)]
fields.sort(key=lambda x: x[1]._creation_counter)
# If this class is subclassing another Serializer, add that Serializer's
# fields. Note that we loop over the bases in *reverse*. This is necessary
# in order to maintain the correct order of fields.
for base in reversed(bases):
if hasattr(base, '_declared_fields'):
fields = list(base._declared_fields.items()) + fields
return OrderedDict(fields)
def __new__(cls, name, bases, attrs):
attrs['_declared_fields'] = cls._get_declared_fields(bases, attrs)
return super(SerializerMetaclass, cls).__new__(cls, name, bases, attrs)
def get_validation_error_detail(exc):
assert isinstance(exc, (ValidationError, DjangoValidationError))
if isinstance(exc, DjangoValidationError):
# Normally you should raise `serializers.ValidationError`
# inside your codebase, but we handle Django's validation
# exception class as well for simpler compat.
# Eg. Calling Model.clean() explicitly inside Serializer.validate()
return {
api_settings.NON_FIELD_ERRORS_KEY: list(exc.messages)
}
elif isinstance(exc.detail, dict):
# If errors may be a dict we use the standard {key: list of values}.
# Here we ensure that all the values are *lists* of errors.
return {
key: value if isinstance(value, (list, dict)) else [value]
for key, value in exc.detail.items()
}
elif isinstance(exc.detail, list):
# Errors raised as a list are non-field errors.
return {
api_settings.NON_FIELD_ERRORS_KEY: exc.detail
}
# Errors raised as a string are non-field errors.
return {
api_settings.NON_FIELD_ERRORS_KEY: [exc.detail]
}
@six.add_metaclass(SerializerMetaclass)
class Serializer(BaseSerializer):
default_error_messages = {
'invalid': _('Invalid data. Expected a dictionary, but got {datatype}.')
}
@property
def fields(self):
"""
A dictionary of {field_name: field_instance}.
"""
# `fields` is evaluated lazily. We do this to ensure that we don't
# have issues importing modules that use ModelSerializers as fields,
# even if Django's app-loading stage has not yet run.
if not hasattr(self, '_fields'):
self._fields = BindingDict(self)
for key, value in self.get_fields().items():
self._fields[key] = value
return self._fields
@cached_property
def _writable_fields(self):
return [
field for field in self.fields.values()
if (not field.read_only) or (field.default is not empty)
]
@cached_property
def _readable_fields(self):
return [
field for field in self.fields.values()
if not field.write_only
]
def get_fields(self):
"""
Returns a dictionary of {field_name: field_instance}.
"""
# Every new serializer is created with a clone of the field instances.
# This allows users to dynamically modify the fields on a serializer
# instance without affecting every other serializer class.
return copy.deepcopy(self._declared_fields)
def get_validators(self):
"""
Returns a list of validator callables.
"""
# Used by the lazily-evaluated `validators` property.
meta = getattr(self, 'Meta', None)
validators = getattr(meta, 'validators', None)
return validators[:] if validators else []
def get_initial(self):
if hasattr(self, 'initial_data'):
return OrderedDict([
(field_name, field.get_value(self.initial_data))
for field_name, field in self.fields.items()
if (field.get_value(self.initial_data) is not empty) and
not field.read_only
])
return OrderedDict([
(field.field_name, field.get_initial())
for field in self.fields.values()
if not field.read_only
])
def get_value(self, dictionary):
# We override the default field access in order to support
# nested HTML forms.
if html.is_html_input(dictionary):
return html.parse_html_dict(dictionary, prefix=self.field_name) or empty
return dictionary.get(self.field_name, empty)
def run_validation(self, data=empty):
"""
We override the default `run_validation`, because the validation
performed by validators and the `.validate()` method should
be coerced into an error dictionary with a 'non_fields_error' key.
"""
(is_empty_value, data) = self.validate_empty_values(data)
if is_empty_value:
return data
value = self.to_internal_value(data)
try:
self.run_validators(value)
value = self.validate(value)
assert value is not None, '.validate() should return the validated data'
except (ValidationError, DjangoValidationError) as exc:
raise ValidationError(detail=get_validation_error_detail(exc))
return value
def to_internal_value(self, data):
"""
Dict of native values <- Dict of primitive datatypes.
"""
if not isinstance(data, dict):
message = self.error_messages['invalid'].format(
datatype=type(data).__name__
)
raise ValidationError({
api_settings.NON_FIELD_ERRORS_KEY: [message]
})
ret = OrderedDict()
errors = OrderedDict()
fields = self._writable_fields
for field in fields:
validate_method = getattr(self, 'validate_' + field.field_name, None)
primitive_value = field.get_value(data)
try:
validated_value = field.run_validation(primitive_value)
if validate_method is not None:
validated_value = validate_method(validated_value)
except ValidationError as exc:
errors[field.field_name] = exc.detail
except DjangoValidationError as exc:
errors[field.field_name] = list(exc.messages)
except SkipField:
pass
else:
set_value(ret, field.source_attrs, validated_value)
if errors:
raise ValidationError(errors)
return ret
def to_representation(self, instance):
"""
Object instance -> Dict of primitive datatypes.
"""
ret = OrderedDict()
fields = self._readable_fields
for field in fields:
try:
attribute = field.get_attribute(instance)
except SkipField:
continue
# We skip `to_representation` for `None` values so that fields do
# not have to explicitly deal with that case.
#
# For related fields with `use_pk_only_optimization` we need to
# resolve the pk value.
check_for_none = attribute.pk if isinstance(attribute, PKOnlyObject) else attribute
if check_for_none is None:
ret[field.field_name] = None
else:
ret[field.field_name] = field.to_representation(attribute)
return ret
def validate(self, attrs):
return attrs
def __repr__(self):
return unicode_to_repr(representation.serializer_repr(self, indent=1))
# The following are used for accessing `BoundField` instances on the
# serializer, for the purposes of presenting a form-like API onto the
# field values and field errors.
def __iter__(self):
for field in self.fields.values():
yield self[field.field_name]
def __getitem__(self, key):
field = self.fields[key]
value = self.data.get(key)
error = self.errors.get(key) if hasattr(self, '_errors') else None
if isinstance(field, Serializer):
return NestedBoundField(field, value, error)
return BoundField(field, value, error)
# Include a backlink to the serializer class on return objects.
# Allows renderers such as HTMLFormRenderer to get the full field info.
@property
def data(self):
ret = super(Serializer, self).data
return ReturnDict(ret, serializer=self)
@property
def errors(self):
ret = super(Serializer, self).errors
return ReturnDict(ret, serializer=self)
# There's some replication of `ListField` here,
# but that's probably better than obfuscating the call hierarchy.
class ListSerializer(BaseSerializer):
child = None
many = True
default_error_messages = {
'not_a_list': _('Expected a list of items but got type "{input_type}".'),
'empty': _('This list may not be empty.')
}
def __init__(self, *args, **kwargs):
self.child = kwargs.pop('child', copy.deepcopy(self.child))
self.allow_empty = kwargs.pop('allow_empty', True)
assert self.child is not None, '`child` is a required argument.'
assert not inspect.isclass(self.child), '`child` has not been instantiated.'
super(ListSerializer, self).__init__(*args, **kwargs)
self.child.bind(field_name='', parent=self)
def get_initial(self):
if hasattr(self, 'initial_data'):
return self.to_representation(self.initial_data)
return []
def get_value(self, dictionary):
"""
Given the input dictionary, return the field value.
"""
# We override the default field access in order to support
# lists in HTML forms.
if html.is_html_input(dictionary):
return html.parse_html_list(dictionary, prefix=self.field_name)
return dictionary.get(self.field_name, empty)
def run_validation(self, data=empty):
"""
We override the default `run_validation`, because the validation
performed by validators and the `.validate()` method should
be coerced into an error dictionary with a 'non_fields_error' key.
"""
(is_empty_value, data) = self.validate_empty_values(data)
if is_empty_value:
return data
value = self.to_internal_value(data)
try:
self.run_validators(value)
value = self.validate(value)
assert value is not None, '.validate() should return the validated data'
except (ValidationError, DjangoValidationError) as exc:
raise ValidationError(detail=get_validation_error_detail(exc))
return value
def to_internal_value(self, data):
"""
List of dicts of native values <- List of dicts of primitive datatypes.
"""
if html.is_html_input(data):
data = html.parse_html_list(data)
if not isinstance(data, list):
message = self.error_messages['not_a_list'].format(
input_type=type(data).__name__
)
raise ValidationError({
api_settings.NON_FIELD_ERRORS_KEY: [message]
})
if not self.allow_empty and len(data) == 0:
message = self.error_messages['empty']
raise ValidationError({
api_settings.NON_FIELD_ERRORS_KEY: [message]
})
ret = []
errors = []
for item in data:
try:
validated = self.child.run_validation(item)
except ValidationError as exc:
errors.append(exc.detail)
else:
ret.append(validated)
errors.append({})
if any(errors):
raise ValidationError(errors)
return ret
def to_representation(self, data):
"""
List of object instances -> List of dicts of primitive datatypes.
"""
# Dealing with nested relationships, data can be a Manager,
# so, first get a queryset from the Manager if needed
iterable = data.all() if isinstance(data, models.Manager) else data
return [
self.child.to_representation(item) for item in iterable
]
def validate(self, attrs):
return attrs
def update(self, instance, validated_data):
raise NotImplementedError(
"Serializers with many=True do not support multiple update by "
"default, only multiple create. For updates it is unclear how to "
"deal with insertions and deletions. If you need to support "
"multiple update, use a `ListSerializer` class and override "
"`.update()` so you can specify the behavior exactly."
)
def create(self, validated_data):
return [
self.child.create(attrs) for attrs in validated_data
]
def save(self, **kwargs):
"""
Save and return a list of object instances.
"""
# Guard against incorrect use of `serializer.save(commit=False)`
assert 'commit' not in kwargs, (
"'commit' is not a valid keyword argument to the 'save()' method. "
"If you need to access data before committing to the database then "
"inspect 'serializer.validated_data' instead. "
"You can also pass additional keyword arguments to 'save()' if you "
"need to set extra attributes on the saved model instance. "
"For example: 'serializer.save(owner=request.user)'.'"
)
validated_data = [
dict(list(attrs.items()) + list(kwargs.items()))
for attrs in self.validated_data
]
if self.instance is not None:
self.instance = self.update(self.instance, validated_data)
assert self.instance is not None, (
'`update()` did not return an object instance.'
)
else:
self.instance = self.create(validated_data)
assert self.instance is not None, (
'`create()` did not return an object instance.'
)
return self.instance
def is_valid(self, raise_exception=False):
# This implementation is the same as the default,
# except that we use lists, rather than dicts, as the empty case.
assert hasattr(self, 'initial_data'), (
'Cannot call `.is_valid()` as no `data=` keyword argument was '
'passed when instantiating the serializer instance.'
)
if not hasattr(self, '_validated_data'):
try:
self._validated_data = self.run_validation(self.initial_data)
except ValidationError as exc:
self._validated_data = []
self._errors = exc.detail
else:
self._errors = []
if self._errors and raise_exception:
raise ValidationError(self.errors)
return not bool(self._errors)
def __repr__(self):
return unicode_to_repr(representation.list_repr(self, indent=1))
# Include a backlink to the serializer class on return objects.
# Allows renderers such as HTMLFormRenderer to get the full field info.
@property
def data(self):
ret = super(ListSerializer, self).data
return ReturnList(ret, serializer=self)
@property
def errors(self):
ret = super(ListSerializer, self).errors
if isinstance(ret, dict):
return ReturnDict(ret, serializer=self)
return ReturnList(ret, serializer=self)
# ModelSerializer & HyperlinkedModelSerializer
# --------------------------------------------
def raise_errors_on_nested_writes(method_name, serializer, validated_data):
"""
Give explicit errors when users attempt to pass writable nested data.
If we don't do this explicitly they'd get a less helpful error when
calling `.save()` on the serializer.
We don't *automatically* support these sorts of nested writes because
there are too many ambiguities to define a default behavior.
Eg. Suppose we have a `UserSerializer` with a nested profile. How should
we handle the case of an update, where the `profile` relationship does
not exist? Any of the following might be valid:
* Raise an application error.
* Silently ignore the nested part of the update.
* Automatically create a profile instance.
"""
# Ensure we don't have a writable nested field. For example:
#
# class UserSerializer(ModelSerializer):
# ...
# profile = ProfileSerializer()
assert not any(
isinstance(field, BaseSerializer) and
(key in validated_data) and
isinstance(validated_data[key], (list, dict))
for key, field in serializer.fields.items()
), (
'The `.{method_name}()` method does not support writable nested '
'fields by default.\nWrite an explicit `.{method_name}()` method for '
'serializer `{module}.{class_name}`, or set `read_only=True` on '
'nested serializer fields.'.format(
method_name=method_name,
module=serializer.__class__.__module__,
class_name=serializer.__class__.__name__
)
)
# Ensure we don't have a writable dotted-source field. For example:
#
# class UserSerializer(ModelSerializer):
# ...
# address = serializer.CharField('profile.address')
assert not any(
'.' in field.source and
(key in validated_data) and
isinstance(validated_data[key], (list, dict))
for key, field in serializer.fields.items()
), (
'The `.{method_name}()` method does not support writable dotted-source '
'fields by default.\nWrite an explicit `.{method_name}()` method for '
'serializer `{module}.{class_name}`, or set `read_only=True` on '
'dotted-source serializer fields.'.format(
method_name=method_name,
module=serializer.__class__.__module__,
class_name=serializer.__class__.__name__
)
)
class ModelSerializer(Serializer):
"""
A `ModelSerializer` is just a regular `Serializer`, except that:
* A set of default fields are automatically populated.
* A set of default validators are automatically populated.
* Default `.create()` and `.update()` implementations are provided.
The process of automatically determining a set of serializer fields
based on the model fields is reasonably complex, but you almost certainly
don't need to dig into the implementation.
If the `ModelSerializer` class *doesn't* generate the set of fields that
you need you should either declare the extra/differing fields explicitly on
the serializer class, or simply use a `Serializer` class.
"""
serializer_field_mapping = {
models.AutoField: IntegerField,
models.BigIntegerField: IntegerField,
models.BooleanField: BooleanField,
models.CharField: CharField,
models.CommaSeparatedIntegerField: CharField,
models.DateField: DateField,
models.DateTimeField: DateTimeField,
models.DecimalField: DecimalField,
models.EmailField: EmailField,
models.Field: ModelField,
models.FileField: FileField,
models.FloatField: FloatField,
models.ImageField: ImageField,
models.IntegerField: IntegerField,
models.NullBooleanField: NullBooleanField,
models.PositiveIntegerField: IntegerField,
models.PositiveSmallIntegerField: IntegerField,
models.SlugField: SlugField,
models.SmallIntegerField: IntegerField,
models.TextField: CharField,
models.TimeField: TimeField,
models.URLField: URLField,
models.GenericIPAddressField: IPAddressField,
models.FilePathField: FilePathField,
}
if ModelDurationField is not None:
serializer_field_mapping[ModelDurationField] = DurationField
if ModelJSONField is not None:
serializer_field_mapping[ModelJSONField] = JSONField
serializer_related_field = PrimaryKeyRelatedField
serializer_related_to_field = SlugRelatedField
serializer_url_field = HyperlinkedIdentityField
serializer_choice_field = ChoiceField
# The field name for hyperlinked identity fields. Defaults to 'url'.
# You can modify this using the API setting.
#
# Note that if you instead need modify this on a per-serializer basis,
# you'll also need to ensure you update the `create` method on any generic
# views, to correctly handle the 'Location' response header for
# "HTTP 201 Created" responses.
url_field_name = None
# Default `create` and `update` behavior...
def create(self, validated_data):
"""
We have a bit of extra checking around this in order to provide
descriptive messages when something goes wrong, but this method is
essentially just:
return ExampleModel.objects.create(**validated_data)
If there are many to many fields present on the instance then they
cannot be set until the model is instantiated, in which case the
implementation is like so:
example_relationship = validated_data.pop('example_relationship')
instance = ExampleModel.objects.create(**validated_data)
instance.example_relationship = example_relationship
return instance
The default implementation also does not handle nested relationships.
If you want to support writable nested relationships you'll need
to write an explicit `.create()` method.
"""
raise_errors_on_nested_writes('create', self, validated_data)
ModelClass = self.Meta.model
# Remove many-to-many relationships from validated_data.
# They are not valid arguments to the default `.create()` method,
# as they require that the instance has already been saved.
info = model_meta.get_field_info(ModelClass)
many_to_many = {}
for field_name, relation_info in info.relations.items():
if relation_info.to_many and (field_name in validated_data):
many_to_many[field_name] = validated_data.pop(field_name)
try:
instance = ModelClass.objects.create(**validated_data)
except TypeError:
tb = traceback.format_exc()
msg = (
'Got a `TypeError` when calling `%s.objects.create()`. '
'This may be because you have a writable field on the '
'serializer class that is not a valid argument to '
'`%s.objects.create()`. You may need to make the field '
'read-only, or override the %s.create() method to handle '
'this correctly.\nOriginal exception was:\n %s' %
(
ModelClass.__name__,
ModelClass.__name__,
self.__class__.__name__,
tb
)
)
raise TypeError(msg)
# Save many-to-many relationships after the instance is created.
if many_to_many:
for field_name, value in many_to_many.items():
setattr(instance, field_name, value)
return instance
def update(self, instance, validated_data):
raise_errors_on_nested_writes('update', self, validated_data)
# Simply set each attribute on the instance, and then save it.
# Note that unlike `.create()` we don't need to treat many-to-many
# relationships as being a special case. During updates we already
# have an instance pk for the relationships to be associated with.
for attr, value in validated_data.items():
setattr(instance, attr, value)
instance.save()
return instance
# Determine the fields to apply...
def get_fields(self):
"""
Return the dict of field names -> field instances that should be
used for `self.fields` when instantiating the serializer.
"""
if self.url_field_name is None:
self.url_field_name = api_settings.URL_FIELD_NAME
assert hasattr(self, 'Meta'), (
'Class {serializer_class} missing "Meta" attribute'.format(
serializer_class=self.__class__.__name__
)
)
assert hasattr(self.Meta, 'model'), (
'Class {serializer_class} missing "Meta.model" attribute'.format(
serializer_class=self.__class__.__name__
)
)
if model_meta.is_abstract_model(self.Meta.model):
raise ValueError(
'Cannot use ModelSerializer with Abstract Models.'
)
declared_fields = copy.deepcopy(self._declared_fields)
model = getattr(self.Meta, 'model')
depth = getattr(self.Meta, 'depth', 0)
if depth is not None:
assert depth >= 0, "'depth' may not be negative."
assert depth <= 10, "'depth' may not be greater than 10."
# Retrieve metadata about fields & relationships on the model class.
info = model_meta.get_field_info(model)
field_names = self.get_field_names(declared_fields, info)
# Determine any extra field arguments and hidden fields that
# should be included
extra_kwargs = self.get_extra_kwargs()
extra_kwargs, hidden_fields = self.get_uniqueness_extra_kwargs(
field_names, declared_fields, extra_kwargs
)
# Determine the fields that should be included on the serializer.
fields = OrderedDict()
for field_name in field_names:
# If the field is explicitly declared on the class then use that.
if field_name in declared_fields:
fields[field_name] = declared_fields[field_name]
continue
# Determine the serializer field class and keyword arguments.
field_class, field_kwargs = self.build_field(
field_name, info, model, depth
)
# Include any kwargs defined in `Meta.extra_kwargs`
extra_field_kwargs = extra_kwargs.get(field_name, {})
field_kwargs = self.include_extra_kwargs(
field_kwargs, extra_field_kwargs
)
# Create the serializer field.
fields[field_name] = field_class(**field_kwargs)
# Add in any hidden fields.
fields.update(hidden_fields)
return fields
# Methods for determining the set of field names to include...
def get_field_names(self, declared_fields, info):
"""
Returns the list of all field names that should be created when
instantiating this serializer class. This is based on the default
set of fields, but also takes into account the `Meta.fields` or
`Meta.exclude` options if they have been specified.
"""
fields = getattr(self.Meta, 'fields', None)
exclude = getattr(self.Meta, 'exclude', None)
if fields and fields != ALL_FIELDS and not isinstance(fields, (list, tuple)):
raise TypeError(
'The `fields` option must be a list or tuple or "__all__". '
'Got %s.' % type(fields).__name__
)
if exclude and not isinstance(exclude, (list, tuple)):
raise TypeError(
'The `exclude` option must be a list or tuple. Got %s.' %
type(exclude).__name__
)
assert not (fields and exclude), (
"Cannot set both 'fields' and 'exclude' options on "
"serializer {serializer_class}.".format(
serializer_class=self.__class__.__name__
)
)
if fields is None and exclude is None:
warnings.warn(
"Creating a ModelSerializer without either the 'fields' "
"attribute or the 'exclude' attribute is deprecated "
"since 3.3.0. Add an explicit fields = '__all__' to the "
"{serializer_class} serializer.".format(
serializer_class=self.__class__.__name__
),
DeprecationWarning
)
if fields == ALL_FIELDS:
fields = None
if fields is not None:
# Ensure that all declared fields have also been included in the
# `Meta.fields` option.
# Do not require any fields that are declared a parent class,
# in order to allow serializer subclasses to only include
# a subset of fields.
required_field_names = set(declared_fields)
for cls in self.__class__.__bases__:
required_field_names -= set(getattr(cls, '_declared_fields', []))
for field_name in required_field_names:
assert field_name in fields, (
"The field '{field_name}' was declared on serializer "
"{serializer_class}, but has not been included in the "
"'fields' option.".format(
field_name=field_name,
serializer_class=self.__class__.__name__
)
)
return fields
# Use the default set of field names if `Meta.fields` is not specified.
fields = self.get_default_field_names(declared_fields, info)
if exclude is not None:
# If `Meta.exclude` is included, then remove those fields.
for field_name in exclude:
assert field_name in fields, (
"The field '{field_name}' was included on serializer "
"{serializer_class} in the 'exclude' option, but does "
"not match any model field.".format(
field_name=field_name,
serializer_class=self.__class__.__name__
)
)
fields.remove(field_name)
return fields
def get_default_field_names(self, declared_fields, model_info):
"""
Return the default list of field names that will be used if the
`Meta.fields` option is not specified.
"""
return (
[model_info.pk.name] +
list(declared_fields.keys()) +
list(model_info.fields.keys()) +
list(model_info.forward_relations.keys())
)
# Methods for constructing serializer fields...
def build_field(self, field_name, info, model_class, nested_depth):
"""
Return a two tuple of (cls, kwargs) to build a serializer field with.
"""
if field_name in info.fields_and_pk:
model_field = info.fields_and_pk[field_name]
return self.build_standard_field(field_name, model_field)
elif field_name in info.relations:
relation_info = info.relations[field_name]
if not nested_depth:
return self.build_relational_field(field_name, relation_info)
else:
return self.build_nested_field(field_name, relation_info, nested_depth)
elif hasattr(model_class, field_name):
return self.build_property_field(field_name, model_class)
elif field_name == self.url_field_name:
return self.build_url_field(field_name, model_class)
return self.build_unknown_field(field_name, model_class)
def build_standard_field(self, field_name, model_field):
"""
Create regular model fields.
"""
field_mapping = ClassLookupDict(self.serializer_field_mapping)
field_class = field_mapping[model_field]
field_kwargs = get_field_kwargs(field_name, model_field)
if 'choices' in field_kwargs:
# Fields with choices get coerced into `ChoiceField`
# instead of using their regular typed field.
field_class = self.serializer_choice_field
# Some model fields may introduce kwargs that would not be valid
# for the choice field. We need to strip these out.
# Eg. models.DecimalField(max_digits=3, decimal_places=1, choices=DECIMAL_CHOICES)
valid_kwargs = set((
'read_only', 'write_only',
'required', 'default', 'initial', 'source',
'label', 'help_text', 'style',
'error_messages', 'validators', 'allow_null', 'allow_blank',
'choices'
))
for key in list(field_kwargs.keys()):
if key not in valid_kwargs:
field_kwargs.pop(key)
if not issubclass(field_class, ModelField):
# `model_field` is only valid for the fallback case of
# `ModelField`, which is used when no other typed field
# matched to the model field.
field_kwargs.pop('model_field', None)
if not issubclass(field_class, CharField) and not issubclass(field_class, ChoiceField):
# `allow_blank` is only valid for textual fields.
field_kwargs.pop('allow_blank', None)
if postgres_fields and isinstance(model_field, postgres_fields.ArrayField):
# Populate the `child` argument on `ListField` instances generated
# for the PostgrSQL specfic `ArrayField`.
child_model_field = model_field.base_field
child_field_class, child_field_kwargs = self.build_standard_field(
'child', child_model_field
)
field_kwargs['child'] = child_field_class(**child_field_kwargs)
return field_class, field_kwargs
def build_relational_field(self, field_name, relation_info):
"""
Create fields for forward and reverse relationships.
"""
field_class = self.serializer_related_field
field_kwargs = get_relation_kwargs(field_name, relation_info)
to_field = field_kwargs.pop('to_field', None)
if to_field and not relation_info.related_model._meta.get_field(to_field).primary_key:
field_kwargs['slug_field'] = to_field
field_class = self.serializer_related_to_field
# `view_name` is only valid for hyperlinked relationships.
if not issubclass(field_class, HyperlinkedRelatedField):
field_kwargs.pop('view_name', None)
return field_class, field_kwargs
def build_nested_field(self, field_name, relation_info, nested_depth):
"""
Create nested fields for forward and reverse relationships.
"""
class NestedSerializer(ModelSerializer):
class Meta:
model = relation_info.related_model
depth = nested_depth - 1
fields = '__all__'
field_class = NestedSerializer
field_kwargs = get_nested_relation_kwargs(relation_info)
return field_class, field_kwargs
def build_property_field(self, field_name, model_class):
"""
Create a read only field for model methods and properties.
"""
field_class = ReadOnlyField
field_kwargs = {}
return field_class, field_kwargs
def build_url_field(self, field_name, model_class):
"""
Create a field representing the object's own URL.
"""
field_class = self.serializer_url_field
field_kwargs = get_url_kwargs(model_class)
return field_class, field_kwargs
def build_unknown_field(self, field_name, model_class):
"""
Raise an error on any unknown fields.
"""
raise ImproperlyConfigured(
'Field name `%s` is not valid for model `%s`.' %
(field_name, model_class.__name__)
)
def include_extra_kwargs(self, kwargs, extra_kwargs):
"""
Include any 'extra_kwargs' that have been included for this field,
possibly removing any incompatible existing keyword arguments.
"""
if extra_kwargs.get('read_only', False):
for attr in [
'required', 'default', 'allow_blank', 'allow_null',
'min_length', 'max_length', 'min_value', 'max_value',
'validators', 'queryset'
]:
kwargs.pop(attr, None)
if extra_kwargs.get('default') and kwargs.get('required') is False:
kwargs.pop('required')
if extra_kwargs.get('read_only', kwargs.get('read_only', False)):
extra_kwargs.pop('required', None) # Read only fields should always omit the 'required' argument.
kwargs.update(extra_kwargs)
return kwargs
# Methods for determining additional keyword arguments to apply...
def get_extra_kwargs(self):
"""
Return a dictionary mapping field names to a dictionary of
additional keyword arguments.
"""
extra_kwargs = copy.deepcopy(getattr(self.Meta, 'extra_kwargs', {}))
read_only_fields = getattr(self.Meta, 'read_only_fields', None)
if read_only_fields is not None:
if not isinstance(read_only_fields, (list, tuple)):
raise TypeError(
'The `read_only_fields` option must be a list or tuple. '
'Got %s.' % type(read_only_fields).__name__
)
for field_name in read_only_fields:
kwargs = extra_kwargs.get(field_name, {})
kwargs['read_only'] = True
extra_kwargs[field_name] = kwargs
return extra_kwargs
def get_uniqueness_extra_kwargs(self, field_names, declared_fields, extra_kwargs):
"""
Return any additional field options that need to be included as a
result of uniqueness constraints on the model. This is returned as
a two-tuple of:
('dict of updated extra kwargs', 'mapping of hidden fields')
"""
if getattr(self.Meta, 'validators', None) is not None:
return (extra_kwargs, {})
model = getattr(self.Meta, 'model')
model_fields = self._get_model_fields(
field_names, declared_fields, extra_kwargs
)
# Determine if we need any additional `HiddenField` or extra keyword
# arguments to deal with `unique_for` dates that are required to
# be in the input data in order to validate it.
unique_constraint_names = set()
for model_field in model_fields.values():
# Include each of the `unique_for_*` field names.
unique_constraint_names |= {model_field.unique_for_date, model_field.unique_for_month,
model_field.unique_for_year}
unique_constraint_names -= {None}
# Include each of the `unique_together` field names,
# so long as all the field names are included on the serializer.
for parent_class in [model] + list(model._meta.parents.keys()):
for unique_together_list in parent_class._meta.unique_together:
if set(field_names).issuperset(set(unique_together_list)):
unique_constraint_names |= set(unique_together_list)
# Now we have all the field names that have uniqueness constraints
# applied, we can add the extra 'required=...' or 'default=...'
# arguments that are appropriate to these fields, or add a `HiddenField` for it.
hidden_fields = {}
uniqueness_extra_kwargs = {}
for unique_constraint_name in unique_constraint_names:
# Get the model field that is referred too.
unique_constraint_field = model._meta.get_field(unique_constraint_name)
if getattr(unique_constraint_field, 'auto_now_add', None):
default = CreateOnlyDefault(timezone.now)
elif getattr(unique_constraint_field, 'auto_now', None):
default = timezone.now
elif unique_constraint_field.has_default():
default = unique_constraint_field.default
else:
default = empty
if unique_constraint_name in model_fields:
# The corresponding field is present in the serializer
if default is empty:
uniqueness_extra_kwargs[unique_constraint_name] = {'required': True}
else:
uniqueness_extra_kwargs[unique_constraint_name] = {'default': default}
elif default is not empty:
# The corresponding field is not present in the
# serializer. We have a default to use for it, so
# add in a hidden field that populates it.
hidden_fields[unique_constraint_name] = HiddenField(default=default)
# Update `extra_kwargs` with any new options.
for key, value in uniqueness_extra_kwargs.items():
if key in extra_kwargs:
value.update(extra_kwargs[key])
extra_kwargs[key] = value
return extra_kwargs, hidden_fields
def _get_model_fields(self, field_names, declared_fields, extra_kwargs):
"""
Returns all the model fields that are being mapped to by fields
on the serializer class.
Returned as a dict of 'model field name' -> 'model field'.
Used internally by `get_uniqueness_field_options`.
"""
model = getattr(self.Meta, 'model')
model_fields = {}
for field_name in field_names:
if field_name in declared_fields:
# If the field is declared on the serializer
field = declared_fields[field_name]
source = field.source or field_name
else:
try:
source = extra_kwargs[field_name]['source']
except KeyError:
source = field_name
if '.' in source or source == '*':
# Model fields will always have a simple source mapping,
# they can't be nested attribute lookups.
continue
try:
field = model._meta.get_field(source)
if isinstance(field, DjangoModelField):
model_fields[source] = field
except FieldDoesNotExist:
pass
return model_fields
# Determine the validators to apply...
def get_validators(self):
"""
Determine the set of validators to use when instantiating serializer.
"""
# If the validators have been declared explicitly then use that.
validators = getattr(getattr(self, 'Meta', None), 'validators', None)
if validators is not None:
return validators[:]
# Otherwise use the default set of validators.
return (
self.get_unique_together_validators() +
self.get_unique_for_date_validators()
)
def get_unique_together_validators(self):
"""
Determine a default set of validators for any unique_together constraints.
"""
model_class_inheritance_tree = (
[self.Meta.model] +
list(self.Meta.model._meta.parents.keys())
)
# The field names we're passing though here only include fields
# which may map onto a model field. Any dotted field name lookups
# cannot map to a field, and must be a traversal, so we're not
# including those.
field_names = {
field.source for field in self._writable_fields
if (field.source != '*') and ('.' not in field.source)
}
# Note that we make sure to check `unique_together` both on the
# base model class, but also on any parent classes.
validators = []
for parent_class in model_class_inheritance_tree:
for unique_together in parent_class._meta.unique_together:
if field_names.issuperset(set(unique_together)):
validator = UniqueTogetherValidator(
queryset=parent_class._default_manager,
fields=unique_together
)
validators.append(validator)
return validators
def get_unique_for_date_validators(self):
"""
Determine a default set of validators for the following constraints:
* unique_for_date
* unique_for_month
* unique_for_year
"""
info = model_meta.get_field_info(self.Meta.model)
default_manager = self.Meta.model._default_manager
field_names = [field.source for field in self.fields.values()]
validators = []
for field_name, field in info.fields_and_pk.items():
if field.unique_for_date and field_name in field_names:
validator = UniqueForDateValidator(
queryset=default_manager,
field=field_name,
date_field=field.unique_for_date
)
validators.append(validator)
if field.unique_for_month and field_name in field_names:
validator = UniqueForMonthValidator(
queryset=default_manager,
field=field_name,
date_field=field.unique_for_month
)
validators.append(validator)
if field.unique_for_year and field_name in field_names:
validator = UniqueForYearValidator(
queryset=default_manager,
field=field_name,
date_field=field.unique_for_year
)
validators.append(validator)
return validators
if hasattr(models, 'UUIDField'):
ModelSerializer.serializer_field_mapping[models.UUIDField] = UUIDField
# IPAddressField is deprecated in Django
if hasattr(models, 'IPAddressField'):
ModelSerializer.serializer_field_mapping[models.IPAddressField] = IPAddressField
if postgres_fields:
class CharMappingField(DictField):
child = CharField(allow_blank=True)
ModelSerializer.serializer_field_mapping[postgres_fields.HStoreField] = CharMappingField
ModelSerializer.serializer_field_mapping[postgres_fields.ArrayField] = ListField
class HyperlinkedModelSerializer(ModelSerializer):
"""
A type of `ModelSerializer` that uses hyperlinked relationships instead
of primary key relationships. Specifically:
* A 'url' field is included instead of the 'id' field.
* Relationships to other instances are hyperlinks, instead of primary keys.
"""
serializer_related_field = HyperlinkedRelatedField
def get_default_field_names(self, declared_fields, model_info):
"""
Return the default list of field names that will be used if the
`Meta.fields` option is not specified.
"""
return (
[self.url_field_name] +
list(declared_fields.keys()) +
list(model_info.fields.keys()) +
list(model_info.forward_relations.keys())
)
def build_nested_field(self, field_name, relation_info, nested_depth):
"""
Create nested fields for forward and reverse relationships.
"""
class NestedSerializer(HyperlinkedModelSerializer):
class Meta:
model = relation_info.related_model
depth = nested_depth - 1
fields = '__all__'
field_class = NestedSerializer
field_kwargs = get_nested_relation_kwargs(relation_info)
return field_class, field_kwargs