本文整理汇总了Python中rest_framework.fields.ListField方法的典型用法代码示例。如果您正苦于以下问题：Python fields.ListField方法的具体用法？Python fields.ListField怎么用？Python fields.ListField使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类rest_framework.fields的用法示例。
在下文中一共展示了fields.ListField方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: build_compound_field
# 需要导入模块: from rest_framework import fields [as 别名]
# 或者: from rest_framework.fields import ListField [as 别名]
def build_compound_field(self, field_name, model_field, child_field):
if isinstance(model_field, me_fields.ListField):
field_class = drf_fields.ListField
elif isinstance(model_field, me_fields.DictField):
field_class = drfm_fields.DictField
else:
return self.build_unknown_field(field_name, model_field.owner_document)
field_kwargs = get_field_kwargs(field_name, model_field)
field_kwargs.pop('model_field', None)
if child_field is not None:
field_kwargs['child'] = child_field
return field_class, field_kwargs 示例2: recursive_save
# 需要导入模块: from rest_framework import fields [as 别名]
# 或者: from rest_framework.fields import ListField [as 别名]
def recursive_save(self, validated_data, instance=None):
"""
Recursively traverses validated_data and creates EmbeddedDocuments
of the appropriate subtype from them.
Returns Mongonengine model instance.
"""
# me_data is an analogue of validated_data, but contains
# mongoengine EmbeddedDocument instances for nested data structures
# instead of OrderedDicts.
#
# For example:
# validated_data = {'id:, "1", 'embed': OrderedDict({'a': 'b'})}
# me_data = {'id': "1", 'embed': <EmbeddedDocument>}
me_data = dict()
for key, value in validated_data.items():
try:
field = self.fields[key]
# for EmbeddedDocumentSerializers, call recursive_save
if isinstance(field, EmbeddedDocumentSerializer):
me_data[key] = field.recursive_save(value) if value is not None else value # issue when the value is none
# same for lists of EmbeddedDocumentSerializers i.e.
# ListField(EmbeddedDocumentField) or EmbeddedDocumentListField
elif ((isinstance(field, serializers.ListSerializer) or
isinstance(field, serializers.ListField)) and
isinstance(field.child, EmbeddedDocumentSerializer)):
me_data[key] = []
for datum in value:
me_data[key].append(field.child.recursive_save(datum))
# same for dicts of EmbeddedDocumentSerializers (or, speaking
# in Mongoengine terms, MapField(EmbeddedDocument(Embed))
elif (isinstance(field, drfm_fields.DictField) and
hasattr(field, "child") and
isinstance(field.child, EmbeddedDocumentSerializer)):
me_data[key] = {}
for datum_key, datum_value in value.items():
me_data[key][datum_key] = field.child.recursive_save(datum_value)
# for regular fields just set value
else:
me_data[key] = value
except KeyError: # this is dynamic data
me_data[key] = value
# create (if needed), save (if needed) and return mongoengine instance
if not instance:
instance = self.Meta.model(**me_data)
else:
for key, value in me_data.items():
setattr(instance, key, value)
if self._saving_instances:
instance.save()
return instance