python类Field()的实例源码

def _validate_model_type(api_field_name, model_field, django_field_type,
                         loc=()):
    """
    Checks that the type of the specified model field matches with the
    `django_field_type` passed as parameter.

    `django_field_type` may be an iterable of types. If at least one type
    matches with the type of given model field, then we have a match.
    """
    if isinstance(django_field_type, Iterable):
        matches = any(isinstance(model_field, d_field)
                      for d_field in django_field_type)
    else:
        matches = isinstance(model_field, django_field_type)
    if not matches:
        raise utils.DRFAdapterException(
            'Field {!r} is not a {!r} in your django model'.format(
                api_field_name, django_field_type), loc=loc)
    return model_field

def test_should_base_field_convert_string():
    assert_conversion(serializers.Field, graphene.String)

def test_should_model_convert_field():

    class MyModelSerializer(serializers.ModelSerializer):
        class Meta:
            model = None
            fields = '__all__'

    assert_conversion(MyModelSerializer, graphene.Field, is_input=False)

def get_view_name(self):
        return "Field Choices"


#
# Mixins
#

def default_field_constructor(self, instance, spec, loc, context,
                                  predicate_type):
        """
        A common constructor for the drf fields.

        There are two cases:
        * If the field is a model field, then it does not initialize a
          `serializers.Field` object, but it stores all its properties in
          dictionary in order to be initialized later from the serializer.
        * If the field is a non-model field or its type is either `.struct`
          or `.structarry`, then the corresponding `serializers.Field` is
          contructed.

        Moreover, this method checks if the field conforms to the model
        configuations before being constructed.
        """
        model, automated = self.validate_model_configuration(
            instance, spec, loc, context, predicate_type)
        path = (self.ADAPTER_CONF,)
        instance_source = spec.pop('instance_source', None)
        onmodel = spec.get('onmodel', True)
        if instance_source and onmodel:
            raise utils.DRFAdapterException(
                '`instance_source` and `onmodel=True` are mutually'
                ' exclusive.', loc=loc)
        field_kwargs = {k: v for k, v in spec.iteritems() if k != 'onmodel'}
        field_kwargs.update(doc.doc_get(instance, path) or {})
        field_kwargs.update(self._get_extra_field_kwargs(
            predicate_type, instance, loc, context, automated, field_kwargs))
        doc.doc_set(instance, (self.ADAPTER_CONF, 'source'), instance_source)
        drf_field = self._generate_field(
            instance, context.get('parent_name'), predicate_type, model,
            automated and onmodel, **field_kwargs)
        doc.doc_set(instance, (self.ADAPTER_CONF, 'field'), drf_field)
        return instance

def extract_related_model(self, related_field, django_conf, loc=()):
        """
        Extracts related model based on given field. It also checks that
        given field is related to another model.
        """
        model = self.extract_model(related_field, django_conf, loc)
        related_field = model._meta.get_field(related_field)
        if related_field.related_model is None:
            raise utils.DRFAdapterException(
                'Field {!r} is not related with another model'.format(
                    related_field), loc=loc)
        return related_field.related_model

def get_default(self):
        """
        Override `get_default()` defined on `serializers.Field` class.

        In this case, if there are empty data for a serializer field, i.e.
        a nested field, try to populate it by retrieving the default value of
        each of their fields.
        """
        default = {}
        for k, v in self.fields.iteritems():
            try:
                default[k] = v.get_default()
            except serializers.SkipField:
                pass
        return default

def classify_model_fields(model_fields):
    """ Seperate already initialized drf_fields from the rest. """
    drf_fields = {}
    field_properties = {}
    for field_name, value in model_fields.iteritems():
        if isinstance(value, serializers.Field):
            drf_fields[field_name] = value
        else:
            assert isinstance(value, dict), (
                'A dictionary of serializer field properties is expected.'
                ' A {!r} found'.format(str(type(value))))
            field_properties[field_name] = value
    return field_properties, drf_fields

def modelserializer_factory(model, serializer=serializers.ModelSerializer, fields=None, exclude=None, **kwargs):
    """
    Generate serializer basing on django's modelform_factory
    :param model: model we create serializer for
    :param serializer: base serializer class
    :param fields: list of fields to include in serializer
    :param exclude: list of fields to exclude from serializer
    :param kwargs: fields mapping
    :return:
    """

    # TODO: decide if we need cache and what to do with parameters tha can be different
    serializer_class = serializer_cache.get(model, None)

    if serializer_class:
        return serializer_class

    def _get_declared_fields(attrs):
        fields = [(field_name, attrs.pop(field_name))
                  for field_name, obj in list(attrs.items())
                  if isinstance(obj, serializers.Field)]
        fields.sort(key=lambda x: x[1]._creation_counter)
        return OrderedDict(fields)

    meta_attrs = {'model': model}
    if fields is not None:
        meta_attrs['fields'] = fields
    if exclude is not None:
        meta_attrs['exclude'] = exclude
    if fields is None and exclude is None:
        meta_attrs['fields'] = '__all__'

    parent = (object, )
    Meta = type(str('Meta'), parent, meta_attrs)
    class_name = model.__name__ + str('Serializer')

    serializer_class_attrs = {
        'Meta': Meta,
        '_get_declared_fields': _get_declared_fields(kwargs),
    }
    serializer_class = type(serializer)(class_name, (serializer,), serializer_class_attrs)
    serializer_cache[model] = serializer_class
    return serializer_class