serializers.py

"""
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 marshaling between python primitives and request and
response content is handled by parsers and renderers.
"""

import contextlib
import copy
import inspect
import traceback
from collections import defaultdict
from collections.abc import Mapping

from django.core.exceptions import FieldDoesNotExist, ImproperlyConfigured
from django.core.exceptions import ValidationError as DjangoValidationError
from django.db import models
from django.db.models.fields import Field as DjangoModelField
from django.utils import timezone
from django.utils.functional import cached_property
from django.utils.translation import gettext_lazy as _

from rest_framework.compat import (
    get_referenced_base_fields_from_q, postgres_fields
)
from rest_framework.exceptions import ErrorDetail, ValidationError
from rest_framework.fields import get_error_detail
from rest_framework.settings import api_settings
from rest_framework.utils import html, model_meta, representation
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, JSONBoundField, 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
    BigIntegerField, BooleanField, CharField, ChoiceField, DateField, DateTimeField, DecimalField,
    DictField, DurationField, EmailField, Field, FileField, FilePathField, FloatField,
    HiddenField, HStoreField, IPAddressField, ImageField, IntegerField, JSONField,
    ListField, ModelField, MultipleChoiceField, ReadOnlyField,
    RegexField, SerializerMethodField, SlugField, TimeField, URLField, UUIDField,
)
from rest_framework.relations import (  # NOQA # isort:skip
    HyperlinkedIdentityField, HyperlinkedRelatedField, ManyRelatedField,
    PrimaryKeyRelatedField, RelatedField, SlugRelatedField, StringRelatedField,
)

# Non-field imports, but public API
from rest_framework.fields import (  # NOQA # isort:skip
    CreateOnlyDefault, CurrentUserDefault, SkipField, empty
)
from rest_framework.relations import Hyperlink, PKOnlyObject  # 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',
    'max_length', 'min_length'
)
LIST_SERIALIZER_KWARGS_REMOVE = ('allow_empty', 'min_length', 'max_length')

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().__init__(**kwargs)

    def __new__(cls, *args, **kwargs):
        # We override this method in order to automatically create
        # `ListSerializer` classes instead when `many=True` is set.
        if kwargs.pop('many', False):
            return cls.many_init(*args, **kwargs)
        return super().__new__(cls, *args, **kwargs)

    # Allow type checkers to make serializers generic.
    def __class_getitem__(cls, *args, **kwargs):
        return cls

    @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)
        """
        list_kwargs = {}
        for key in LIST_SERIALIZER_KWARGS_REMOVE:
            value = kwargs.pop(key, None)
            if value is not None:
                list_kwargs[key] = value
        list_kwargs['child'] = cls(*args, **kwargs)
        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 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 = {**self.validated_data, **kwargs}

        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 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)

        # Ensures a base class field doesn't override cls attrs, and maintains
        # field precedence when inheriting multiple parents. e.g. if there is a
        # class C(A, B), and A and B both define 'field', use 'field' from A.
        known = set(attrs)

        def visit(name):
            known.add(name)
            return name

        base_fields = [
            (visit(name), f)
            for base in bases if hasattr(base, '_declared_fields')
            for name, f in base._declared_fields.items() if name not in known
        ]

        return dict(base_fields + fields)

    def __new__(cls, name, bases, attrs):
        attrs['_declared_fields'] = cls._get_declared_fields(bases, attrs)
        return super().__new__(cls, name, bases, attrs)


def as_serializer_error(exc):
    """
    Coerce validation exceptions into a standardized serialized error format.

    This function normalizes both Django's `ValidationError` and REST
    framework's `ValidationError` into a dictionary structure compatible
    with serializer `.errors`, ensuring all values are represented as
    lists of error details.

    The returned structure conforms to the serializer error contract:
    - Field-specific errors are returned as '{field-name: [errors]}'
    - Non-field errors are returned under the 'NON_FIELD_ERRORS_KEY'
    """
    assert isinstance(exc, (ValidationError, DjangoValidationError))

    if isinstance(exc, DjangoValidationError):
        detail = get_error_detail(exc)
    else:
        detail = exc.detail

    if isinstance(detail, Mapping):
        # 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, Mapping)) else [value]
            for key, value in detail.items()
        }
    elif isinstance(detail, list):
        # Errors raised as a list are non-field errors.
        return {
            api_settings.NON_FIELD_ERRORS_KEY: detail
        }
    # Errors raised as a string are non-field errors.
    return {
        api_settings.NON_FIELD_ERRORS_KEY: [detail]
    }


class Serializer(BaseSerializer, metaclass=SerializerMetaclass):
    default_error_messages = {
        'invalid': _('Invalid data. Expected a dictionary, but got {datatype}.')
    }

    def set_value(self, dictionary, keys, value):
        """
        Similar to Python's built in `dictionary[key] = value`,
        but takes a list of nested keys instead of a single key.

        set_value({'a': 1}, [], {'b': 2}) -> {'a': 1, 'b': 2}
        set_value({'a': 1}, ['x'], 2) -> {'a': 1, 'x': 2}
        set_value({'a': 1}, ['x', 'y'], 2) -> {'a': 1, 'x': {'y': 2}}
        """
        if not keys:
            dictionary.update(value)
            return

        for key in keys[:-1]:
            if key not in dictionary:
                dictionary[key] = {}
            dictionary = dictionary[key]

        dictionary[keys[-1]] = value

    @cached_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.
        fields = BindingDict(self)
        for key, value in self.get_fields().items():
            fields[key] = value
        return fields

    @property
    def _writable_fields(self):
        for field in self.fields.values():
            if not field.read_only:
                yield field

    @property
    def _readable_fields(self):
        for field in self.fields.values():
            if not field.write_only:
                yield field

    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 instance.
        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 list(validators) if validators else []

    def get_initial(self):
        if hasattr(self, 'initial_data'):
            # initial_data may not be a valid type
            if not isinstance(self.initial_data, Mapping):
                return {}

            return {
                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 {
            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=as_serializer_error(exc))

        return value

    def _read_only_defaults(self):
        fields = [
            field for field in self.fields.values()
            if (field.read_only) and (field.default != empty) and (field.source != '*') and ('.' not in field.source)
        ]

        defaults = {}
        for field in fields:
            try:
                default = field.get_default()
            except SkipField:
                continue
            defaults[field.source] = default

        return defaults

    def run_validators(self, value):
        """
        Add read_only fields with defaults to value before running validators.
        """
        if isinstance(value, dict):
            to_validate = self._read_only_defaults()
            to_validate.update(value)
        else:
            to_validate = value
        super().run_validators(to_validate)

    def to_internal_value(self, data):
        """
        Dict of native values <- Dict of primitive datatypes.
        """
        if not isinstance(data, Mapping):
            message = self.error_messages['invalid'].format(
                datatype=type(data).__name__
            )
            raise ValidationError({
                api_settings.NON_FIELD_ERRORS_KEY: [message]
            }, code='invalid')

        ret = {}
        errors = {}
        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] = get_error_detail(exc)
            except SkipField:
                pass
            else:
                self.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 = {}
        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 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)
        if isinstance(field, JSONField):
            return JSONBoundField(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().data
        return ReturnDict(ret, serializer=self)

    @property
    def errors(self):
        ret = super().errors
        if isinstance(ret, list) and len(ret) == 1 and getattr(ret[0], 'code', None) == 'null':
            # Edge case. Provide a more descriptive error than
            # "this field may not be null", when no data is passed.
            detail = ErrorDetail('No data provided', code='null')
            ret = {api_settings.NON_FIELD_ERRORS_KEY: [detail]}
        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.'),
        'max_length': _('Ensure this field has no more than {max_length} elements.'),
        'min_length': _('Ensure this field has at least {min_length} elements.')
    }

    def __init__(self, *args, **kwargs):
        self.child = kwargs.pop('child', copy.deepcopy(self.child))
        self.allow_empty = kwargs.pop('allow_empty', True)
        self.max_length = kwargs.pop('max_length', None)
        self.min_length = kwargs.pop('min_length', None)
        assert self.child is not None, '`child` is a required argument.'
        assert not inspect.isclass(self.child), '`child` has not been instantiated.'
        super().__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, default=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=as_serializer_error(exc))

        return value

    def run_child_validation(self, data):
        """
        Run validation on child serializer.
        You may need to override this method to support multiple updates. For example:

        self.child.instance = self.instance.get(pk=data['id'])
        self.child.initial_data = data
        return super().run_child_validation(data)
        """
        if not hasattr(self.child, 'instance'):
            return self.child.run_validation(data)

        if not (
            hasattr(self, '_list_serializer_instance_map') and
            isinstance(data, Mapping)
        ):
            return self.child.run_validation(data)

        lookup_field = getattr(getattr(self.child, 'Meta', None), 'lookup_field', 'pk')
        data_pk = data.get(lookup_field)

        if data_pk is None:
            return self.child.run_validation(data)

        child_instance = self._list_serializer_instance_map.get(str(data_pk))
        if child_instance is None:
            return self.child.run_validation(data)

        original_instance = self.child.instance
        has_initial_data = hasattr(self.child, 'initial_data')
        if has_initial_data:
            original_initial_data = self.child.initial_data

        try:
            self.child.instance = child_instance
            self.child.initial_data = data
            return self.child.run_validation(data)
        finally:
            self.child.instance = original_instance
            if has_initial_data:
                self.child.initial_data = original_initial_data
            elif hasattr(self.child, 'initial_data'):
                delattr(self.child, 'initial_data')

    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, default=[])

        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]
            }, code='not_a_list')

        if not self.allow_empty and len(data) == 0:
            message = self.error_messages['empty']
            raise ValidationError({
                api_settings.NON_FIELD_ERRORS_KEY: [message]
            }, code='empty')

        if self.max_length is not None and len(data) > self.max_length:
            message = self.error_messages['max_length'].format(max_length=self.max_length)
            raise ValidationError({
                api_settings.NON_FIELD_ERRORS_KEY: [message]
            }, code='max_length')

        if self.min_length is not None and len(data) < self.min_length:
            message = self.error_messages['min_length'].format(min_length=self.min_length)
            raise ValidationError({
                api_settings.NON_FIELD_ERRORS_KEY: [message]
            }, code='min_length')

        ret = []
        errors = []

        # Build a primary key lookup for instance matching in many=True updates.
        instance_map = None
        if self.instance is not None:
            if isinstance(self.instance, Mapping):
                instance_map = {str(k): v for k, v in self.instance.items()}
            elif isinstance(self.instance, (list, tuple, models.query.QuerySet)):
                instance_map = {}
                lookup_field = getattr(getattr(self.child, 'Meta', None), 'lookup_field', 'pk')

                for obj in self.instance:
                    pk = getattr(obj, lookup_field, None)

                    if pk is not None:
                        key = str(pk)
                        # If duplicate keys are present, keep the last value,
                        # matching standard mapping assignment behavior.
                        instance_map[key] = obj

        has_instance_map = hasattr(self, '_list_serializer_instance_map')
        if has_instance_map:
            original_instance_map = self._list_serializer_instance_map

        if instance_map is not None:
            self._list_serializer_instance_map = instance_map

        try:
            for item in data:
                try:
                    validated = self.run_child_validation(item)
                except ValidationError as exc:
                    errors.append(exc.detail)
                else:
                    ret.append(validated)
                    errors.append({})

            if any(errors):
                raise ValidationError(errors)

            return ret
        finally:
            if instance_map is not None and has_instance_map:
                self._list_serializer_instance_map = original_instance_map
            elif instance_map is not None and hasattr(self, '_list_serializer_instance_map'):
                delattr(self, '_list_serializer_instance_map')

    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.BaseManager) 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.
        """
        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 = [
            {**attrs, **kwargs} 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 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().data
        return ReturnList(ret, serializer=self)

    @property
    def errors(self):
        ret = super().errors
        if isinstance(ret, list) and len(ret) == 1 and getattr(ret[0], 'code', None) == 'null':
            # Edge case. Provide a more descriptive error than
            # "this field may not be null", when no data is passed.
            detail = ErrorDetail('No data provided', code='null')
            ret = {api_settings.NON_FIELD_ERRORS_KEY: [detail]}
        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):
    """
    Enforce explicit handling of writable nested and dotted-source fields.

    This helper raises clear and actionable errors when a serializer attempts
    to perform writable nested updates or creates using the default
    `ModelSerializer` behavior.

    Writable nested relationships and dotted-source fields are intentionally
    unsupported by default due to ambiguous persistence semantics. Developers
    must either:
    - Override the `.create()` / `.update()` methods explicitly, or
    - Mark nested serializers as `read_only=True`

    This check is invoked internally by default `ModelSerializer.create()`
    and `ModelSerializer.update()` implementations.

    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.
    """

    ModelClass = serializer.Meta.model
    model_field_info = model_meta.get_field_info(ModelClass)

    # Ensure we don't have a writable nested field. For example:
    #
    # class UserSerializer(ModelSerializer):
    #     ...
    #     profile = ProfileSerializer()
    assert not any(
        isinstance(field, BaseSerializer) and
        (field.source in validated_data) and
        (field.source in model_field_info.relations) and
        isinstance(validated_data[field.source], (list, dict))
        for field in serializer._writable_fields
    ), (
        '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')
    #
    # Though, non-relational fields (e.g., JSONField) are acceptable. For example:
    #
    # class NonRelationalPersonModel(models.Model):
    #     profile = JSONField()
    #
    # class UserSerializer(ModelSerializer):
    #     ...
    #     address = serializer.CharField('profile.address')
    assert not any(
        len(field.source_attrs) > 1 and
        (field.source_attrs[0] in validated_data) and
        (field.source_attrs[0] in model_field_info.relations) and
        isinstance(validated_data[field.source_attrs[0]], (list, dict))
        for field in serializer._writable_fields
    ), (
        '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.BigAutoField: BigIntegerField,
        models.BigIntegerField: BigIntegerField,
        models.BooleanField: BooleanField,
        models.CharField: CharField,
        models.CommaSeparatedIntegerField: CharField,
        models.DateField: DateField,
        models.DateTimeField: DateTimeField,
        models.DecimalField: DecimalField,
        models.DurationField: DurationField,
        models.EmailField: EmailField,
        models.Field: ModelField,
        models.FileField: FileField,
        models.FloatField: FloatField,
        models.ImageField: ImageField,
        models.IntegerField: IntegerField,
        models.NullBooleanField: BooleanField,
        models.PositiveIntegerField: IntegerField,
        models.PositiveSmallIntegerField: IntegerField,
        models.SlugField: SlugField,
        models.SmallIntegerField: IntegerField,
        models.TextField: CharField,
        models.TimeField: TimeField,
        models.URLField: URLField,
        models.UUIDField: UUIDField,
        models.GenericIPAddressField: IPAddressField,
        models.FilePathField: FilePathField,
    }
    if hasattr(models, 'JSONField'):
        serializer_field_mapping[models.JSONField] = JSONField
    if postgres_fields:
        serializer_field_mapping[postgres_fields.HStoreField] = HStoreField
        serializer_field_mapping[postgres_fields.ArrayField] = ListField
        serializer_field_mapping[postgres_fields.JSONField] = 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._default_manager.create(**validated_data)
        except TypeError:
            tb = traceback.format_exc()
            msg = (
                'Got a `TypeError` when calling `%s.%s.create()`. '
                'This may be because you have a writable field on the '
                'serializer class that is not a valid argument to '
                '`%s.%s.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._default_manager.name,
                    ModelClass.__name__,
                    ModelClass._default_manager.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():
                field = getattr(instance, field_name)
                field.set(value)

        return instance

    def update(self, instance, validated_data):
        raise_errors_on_nested_writes('update', self, validated_data)
        info = model_meta.get_field_info(instance)

        # 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.
        m2m_fields = []
        for attr, value in validated_data.items():
            if attr in info.relations and info.relations[attr].to_many:
                m2m_fields.append((attr, value))
            else:
                setattr(instance, attr, value)

        instance.save()

        # Note that many-to-many fields are set after updating instance.
        # Setting m2m fields triggers signals which could potentially change
        # updated instance and we do not want it to collide with .update()
        for attr, value in m2m_fields:
            field = getattr(instance, attr)
            field.set(value)

        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 = {}

        # If it's a ManyToMany field, and the default is None, then raises an exception to prevent exceptions on .set()
        for field_name in declared_fields.keys():
            if field_name in info.relations and info.relations[field_name].to_many and declared_fields[field_name].default is None:
                raise ValueError(
                    f"The field '{field_name}' on serializer '{self.__class__.__name__}' is a ManyToMany field and cannot have a default value of None."
                )

        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

            extra_field_kwargs = extra_kwargs.get(field_name, {})
            source = extra_field_kwargs.get('source', '*')
            if source == '*':
                source = field_name

            # Determine the serializer field class and keyword arguments.
            field_class, field_kwargs = self.build_field(
                source, info, model, depth
            )

            # Include any kwargs defined in `Meta.extra_kwargs`
            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__
            )
        )

        assert not (fields is None and exclude is None), (
            "Creating a ModelSerializer without either the 'fields' attribute "
            "or the 'exclude' attribute has been deprecated since 3.3.0, "
            "and is now disallowed. Add an explicit fields = '__all__' to the "
            "{serializer_class} serializer.".format(
                serializer_class=self.__class__.__name__
            ),
        )

        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 in 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 not in self._declared_fields, (
                    "Cannot both declare the field '{field_name}' and include "
                    "it in the {serializer_class} 'exclude' option. Remove the "
                    "field or, if inherited from a parent serializer, disable "
                    "with `{field_name} = None`."
                    .format(
                        field_name=field_name,
                        serializer_class=self.__class__.__name__
                    )
                )

                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) +
            list(model_info.fields) +
            list(model_info.forward_relations)
        )

    # 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)

        # Special case to handle when a OneToOneField is also the primary key
        if model_field.one_to_one and model_field.primary_key:
            field_class = self.serializer_related_field
            field_kwargs['queryset'] = model_field.related_model.objects

        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 = {
                '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):
                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)

        is_django_jsonfield = hasattr(models, 'JSONField') and isinstance(model_field, models.JSONField)
        if (postgres_fields and isinstance(model_field, postgres_fields.JSONField)) or is_django_jsonfield:
            # Populate the `encoder` argument of `JSONField` instances generated
            # for the model `JSONField`.
            field_kwargs['encoder'] = getattr(model_field, 'encoder', None)
            if is_django_jsonfield:
                field_kwargs['decoder'] = getattr(model_field, 'decoder', None)

        if postgres_fields and isinstance(model_field, postgres_fields.ArrayField):
            # Populate the `child` argument on `ListField` instances generated
            # for the PostgreSQL specific `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.reverse 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` in `%s.%s`.' %
            (field_name, model_class.__name__, self.__class__.__module__, self.__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', '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

        else:
            # Guard against the possible misspelling `readonly_fields` (used
            # by the Django admin and others).
            assert not hasattr(self.Meta, 'readonly_fields'), (
                'Serializer `%s.%s` has field `readonly_fields`; '
                'the correct spelling for the option is `read_only_fields`.' %
                (self.__class__.__module__, self.__class__.__name__)
            )

        return extra_kwargs

    def get_unique_together_constraints(self, model):
        """
        Returns iterator of (fields, queryset, condition_fields, condition),
        each entry describes an unique together constraint on `fields` in `queryset`
        with respect of constraint's `condition`.
        """
        for parent_class in [model] + list(model._meta.parents):
            for unique_together in parent_class._meta.unique_together:
                yield unique_together, model._default_manager, [], None
            for constraint in parent_class._meta.constraints:
                if isinstance(constraint, models.UniqueConstraint) and len(constraint.fields) > 1:
                    if constraint.condition is None:
                        condition_fields = []
                    else:
                        condition_fields = list(get_referenced_base_fields_from_q(constraint.condition))
                    yield (constraint.fields, model._default_manager, condition_fields, constraint.condition)

    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}
        model_fields_names = set(model_fields.keys())

        # Include each of the `unique_together` and `UniqueConstraint` field names,
        # so long as all the field names are included on the serializer.
        for unique_together_list, queryset, condition_fields, condition in self.get_unique_together_constraints(model):
            unique_together_list_and_condition_fields = set(unique_together_list) | set(condition_fields)
            if model_fields_names.issuperset(unique_together_list_and_condition_fields):
                unique_constraint_names |= unique_together_list_and_condition_fields

        # 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
            elif unique_constraint_field.null:
                default = None
            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

            with contextlib.suppress(FieldDoesNotExist):
                field = model._meta.get_field(source)
                if isinstance(field, DjangoModelField):
                    model_fields[source] = field

        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 list(validators)

        # Otherwise use the default set of validators.
        return (
            self.get_unique_together_validators() +
            self.get_unique_for_date_validators()
        )

    def _get_constraint_violation_error_message(self, constraint):
        """
        Returns the violation error message for the UniqueConstraint,
        or None if the message is the default.
        """
        violation_error_message = constraint.get_violation_error_message()
        default_error_message = constraint.default_violation_error_message % {"name": constraint.name}
        if violation_error_message == default_error_message:
            return None
        return violation_error_message

    def get_unique_together_validators(self):
        """
        Determine a default set of validators for any unique_together constraints.
        """
        # 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_sources = {
            field.field_name: field.source for field in self._writable_fields
            if (field.source != '*') and ('.' not in field.source)
        }

        # Special Case: Add read_only fields with defaults.
        field_sources.update({
            field.field_name: field.source for field in self.fields.values()
            if (field.read_only) and (field.default != empty) and (field.source != '*') and ('.' not in field.source)
        })

        # Invert so we can find the serializer field names that correspond to
        # the model field names in the unique_together sets. This also allows
        # us to check that multiple fields don't map to the same source.
        source_map = defaultdict(list)
        for name, source in field_sources.items():
            source_map[source].append(name)

        unique_constraint_by_fields = {
            constraint.fields: constraint
            for model_cls in (*self.Meta.model._meta.parents, self.Meta.model)
            for constraint in model_cls._meta.constraints
            if isinstance(constraint, models.UniqueConstraint)
        }

        # Note that we make sure to check `unique_together` both on the
        # base model class, but also on any parent classes.
        validators = []
        for unique_together, queryset, condition_fields, condition in self.get_unique_together_constraints(self.Meta.model):
            # Skip if serializer does not map to all unique together sources
            unique_together_and_condition_fields = set(unique_together) | set(condition_fields)
            if not set(source_map).issuperset(unique_together_and_condition_fields):
                continue

            for source in unique_together_and_condition_fields:
                assert len(source_map[source]) == 1, (
                    "Unable to create `UniqueTogetherValidator` for "
                    "`{model}.{field}` as `{serializer}` has multiple "
                    "fields ({fields}) that map to this model field. "
                    "Either remove the extra fields, or override "
                    "`Meta.validators` with a `UniqueTogetherValidator` "
                    "using the desired field names."
                    .format(
                        model=self.Meta.model.__name__,
                        serializer=self.__class__.__name__,
                        field=source,
                        fields=', '.join(source_map[source]),
                    )
                )

            field_names = tuple(source_map[f][0] for f in unique_together)

            constraint = unique_constraint_by_fields.get(tuple(unique_together))
            violation_error_message = self._get_constraint_violation_error_message(constraint) if constraint else None

            validator = UniqueTogetherValidator(
                queryset=queryset,
                fields=field_names,
                condition_fields=tuple(source_map[f][0] for f in condition_fields),
                condition=condition,
                message=violation_error_message,
                code=getattr(constraint, 'violation_error_code', None),
            )
            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


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) +
            list(model_info.fields) +
            list(model_info.forward_relations)
        )

    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