# -*- coding: utf-8 -*- """The :class:`Schema` class, including its metaclass and options (class Meta).""" from __future__ import absolute_import, unicode_literals from collections import defaultdict, Mapping import copy import datetime as dt import decimal import inspect import json import uuid import warnings from collections import OrderedDict import functools from marshmallow import base, fields, utils, class_registry, marshalling from marshmallow.compat import with_metaclass, iteritems, text_type, binary_type from marshmallow.exceptions import ValidationError from marshmallow.orderedset import OrderedSet from marshmallow.decorators import (PRE_DUMP, POST_DUMP, PRE_LOAD, POST_LOAD, VALIDATES, VALIDATES_SCHEMA) from marshmallow.utils import missing def _get_fields(attrs, field_class, pop=False, ordered=False): """Get fields from a class. If ordered=True, fields will sorted by creation index. :param attrs: Mapping of class attributes :param type field_class: Base field class :param bool pop: Remove matching fields """ fields = [ (field_name, field_value) for field_name, field_value in iteritems(attrs) if utils.is_instance_or_subclass(field_value, field_class) ] if pop: for field_name, _ in fields: del attrs[field_name] if ordered: fields.sort(key=lambda pair: pair[1]._creation_index) return fields # This function allows Schemas to inherit from non-Schema classes and ensures # inheritance according to the MRO def _get_fields_by_mro(klass, field_class, ordered=False): """Collect fields from a class, following its method resolution order. The class itself is excluded from the search; only its parents are checked. Get fields from ``_declared_fields`` if available, else use ``__dict__``. :param type klass: Class whose fields to retrieve :param type field_class: Base field class """ mro = inspect.getmro(klass) # Loop over mro in reverse to maintain correct order of fields return sum( ( _get_fields( getattr(base, '_declared_fields', base.__dict__), field_class, ordered=ordered ) for base in mro[:0:-1] ), [], ) class SchemaMeta(type): """Metaclass for the Schema class. Binds the declared fields to a ``_declared_fields`` attribute, which is a dictionary mapping attribute names to field objects. Also sets the ``opts`` class attribute, which is the Schema class's ``class Meta`` options. """ def __new__(mcs, name, bases, attrs): meta = attrs.get('Meta') ordered = getattr(meta, 'ordered', False) if not ordered: # Inherit 'ordered' option # Warning: We loop through bases instead of MRO because we don't # yet have access to the class object # (i.e. can't call super before we have fields) for base_ in bases: if hasattr(base_, 'Meta') and hasattr(base_.Meta, 'ordered'): ordered = base_.Meta.ordered break else: ordered = False cls_fields = _get_fields(attrs, base.FieldABC, pop=True, ordered=ordered) klass = super(SchemaMeta, mcs).__new__(mcs, name, bases, attrs) inherited_fields = _get_fields_by_mro(klass, base.FieldABC, ordered=ordered) # Use getattr rather than attrs['Meta'] so that we get inheritance for free meta = getattr(klass, 'Meta') # Set klass.opts in __new__ rather than __init__ so that it is accessible in # get_declared_fields klass.opts = klass.OPTIONS_CLASS(meta, ordered=ordered) # Add fields specifid in the `include` class Meta option cls_fields += list(klass.opts.include.items()) dict_cls = OrderedDict if ordered else dict # Assign _declared_fields on class klass._declared_fields = mcs.get_declared_fields( klass=klass, cls_fields=cls_fields, inherited_fields=inherited_fields, dict_cls=dict_cls ) return klass @classmethod def get_declared_fields(mcs, klass, cls_fields, inherited_fields, dict_cls): """Returns a dictionary of field_name => `Field` pairs declard on the class. This is exposed mainly so that plugins can add additional fields, e.g. fields computed from class Meta options. :param type klass: The class object. :param dict cls_fields: The fields declared on the class, including those added by the ``include`` class Meta option. :param dict inherited_fileds: Inherited fields. :param type dict_class: Either `dict` or `OrderedDict`, depending on the whether the user specified `ordered=True`. """ return dict_cls(inherited_fields + cls_fields) # NOTE: self is the class object def __init__(self, name, bases, attrs): super(SchemaMeta, self).__init__(name, bases, attrs) if name: class_registry.register(name, self) self._resolve_processors() def _resolve_processors(self): """Add in the decorated processors By doing this after constructing the class, we let standard inheritance do all the hard work. """ mro = inspect.getmro(self) self._has_processors = False self.__processors__ = defaultdict(list) for attr_name in dir(self): # Need to look up the actual descriptor, not whatever might be # bound to the class. This needs to come from the __dict__ of the # declaring class. for parent in mro: try: attr = parent.__dict__[attr_name] except KeyError: continue else: break else: # In case we didn't find the attribute and didn't break above. # We should never hit this - it's just here for completeness # to exclude the possibility of attr being undefined. continue try: processor_tags = attr.__marshmallow_tags__ except AttributeError: continue self._has_processors = bool(processor_tags) for tag in processor_tags: # Use name here so we can get the bound method later, in case # the processor was a descriptor or something. self.__processors__[tag].append(attr_name) class SchemaOpts(object): """class Meta options for the :class:`Schema`. Defines defaults.""" def __init__(self, meta, ordered=False): self.fields = getattr(meta, 'fields', ()) if not isinstance(self.fields, (list, tuple)): raise ValueError("`fields` option must be a list or tuple.") self.additional = getattr(meta, 'additional', ()) if not isinstance(self.additional, (list, tuple)): raise ValueError("`additional` option must be a list or tuple.") if self.fields and self.additional: raise ValueError("Cannot set both `fields` and `additional` options" " for the same Schema.") self.exclude = getattr(meta, 'exclude', ()) if not isinstance(self.exclude, (list, tuple)): raise ValueError("`exclude` must be a list or tuple.") self.dateformat = getattr(meta, 'dateformat', None) if hasattr(meta, 'json_module'): warnings.warn( 'The json_module class Meta option is deprecated. Use render_module instead.', DeprecationWarning ) render_module = getattr(meta, 'json_module', json) else: render_module = json self.render_module = getattr(meta, 'render_module', render_module) self.ordered = getattr(meta, 'ordered', ordered) self.index_errors = getattr(meta, 'index_errors', True) self.include = getattr(meta, 'include', {}) self.load_only = getattr(meta, 'load_only', ()) self.dump_only = getattr(meta, 'dump_only', ()) class BaseSchema(base.SchemaABC): """Base schema class with which to define custom schemas. Example usage: .. code-block:: python import datetime as dt from marshmallow import Schema, fields class Album(object): def __init__(self, title, release_date): self.title = title self.release_date = release_date class AlbumSchema(Schema): title = fields.Str() release_date = fields.Date() # Or, equivalently class AlbumSchema2(Schema): class Meta: fields = ("title", "release_date") album = Album("Beggars Banquet", dt.date(1968, 12, 6)) schema = AlbumSchema() data, errors = schema.dump(album) data # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'} :param tuple only: A list or tuple of fields to serialize. If `None`, all fields will be serialized. Nested fields can be represented with dot delimiters. :param tuple exclude: A list or tuple of fields to exclude from the serialized result. Nested fields can be represented with dot delimiters. :param str prefix: Optional prefix that will be prepended to all the serialized field names. :param bool many: Should be set to `True` if ``obj`` is a collection so that the object will be serialized to a list. :param dict context: Optional context passed to :class:`fields.Method` and :class:`fields.Function` fields. :param tuple load_only: A list or tuple of fields to skip during serialization :param tuple dump_only: A list or tuple of fields to skip during deserialization, read-only fields :param bool|tuple partial: Whether to ignore missing fields. If its value is an iterable, only missing fields listed in that iterable will be ignored. .. versionchanged:: 2.0.0 `__validators__`, `__preprocessors__`, and `__data_handlers__` are removed in favor of `marshmallow.decorators.validates_schema`, `marshmallow.decorators.pre_load` and `marshmallow.decorators.post_dump`. `__accessor__` and `__error_handler__` are deprecated. Implement the `handle_error` and `get_attribute` methods instead. """ TYPE_MAPPING = { text_type: fields.String, binary_type: fields.String, dt.datetime: fields.DateTime, float: fields.Float, bool: fields.Boolean, tuple: fields.Raw, list: fields.Raw, set: fields.Raw, int: fields.Integer, uuid.UUID: fields.UUID, dt.time: fields.Time, dt.date: fields.Date, dt.timedelta: fields.TimeDelta, decimal.Decimal: fields.Decimal, } OPTIONS_CLASS = SchemaOpts class Meta(object): """Options object for a Schema. Example usage: :: class Meta: fields = ("id", "email", "date_created") exclude = ("password", "secret_attribute") Available options: - ``fields``: Tuple or list of fields to include in the serialized result. - ``additional``: Tuple or list of fields to include *in addition* to the explicitly declared fields. ``additional`` and ``fields`` are mutually-exclusive options. - ``include``: Dictionary of additional fields to include in the schema. It is usually better to define fields as class variables, but you may need to use this option, e.g., if your fields are Python keywords. May be an `OrderedDict`. - ``exclude``: Tuple or list of fields to exclude in the serialized result. Nested fields can be represented with dot delimiters. - ``dateformat``: Date format for all DateTime fields that do not have their date format explicitly specified. - ``render_module``: Module to use for `loads` and `dumps`. Defaults to `json` from the standard library. Defaults to the ``json`` module in the stdlib. - ``ordered``: If `True`, order serialization output according to the order in which fields were declared. Output of `Schema.dump` will be a `collections.OrderedDict`. - ``index_errors``: If `True`, errors dictionaries will include the index of invalid items in a collection. - ``load_only``: Tuple or list of fields to exclude from serialized results. - ``dump_only``: Tuple or list of fields to exclude from deserialization """ pass def __init__(self, only=(), exclude=(), prefix='', many=False, context=None, load_only=(), dump_only=(), partial=False): # copy declared fields from metaclass self.declared_fields = copy.deepcopy(self._declared_fields) self.many = many self.only = only self.exclude = exclude self.prefix = prefix self.ordered = self.opts.ordered self.load_only = set(load_only) or set(self.opts.load_only) self.dump_only = set(dump_only) or set(self.opts.dump_only) self.partial = partial #: Dictionary mapping field_names -> :class:`Field` objects self.fields = self.dict_class() #: Callable marshalling object self._marshal = marshalling.Marshaller( prefix=self.prefix ) #: Callable unmarshalling object self._unmarshal = marshalling.Unmarshaller() self.context = context or {} self._normalize_nested_options() self._types_seen = set() self._update_fields(many=many) def __repr__(self): return '<{ClassName}(many={self.many})>'.format( ClassName=self.__class__.__name__, self=self ) @property def dict_class(self): return OrderedDict if self.ordered else dict @property def set_class(self): return OrderedSet if self.ordered else set ##### Override-able methods ##### def handle_error(self, error, data): """Custom error handler function for the schema. :param ValidationError error: The `ValidationError` raised during (de)serialization. :param data: The original input data. .. versionadded:: 2.0.0 """ pass def get_attribute(self, obj, attr, default): """Defines how to pull values from an object to serialize. .. versionadded:: 2.0.0 .. versionchanged:: 3.0.0a1 Changed position of ``obj`` and ``attr``. """ return utils.get_value(obj, attr, default) ##### Serialization/Deserialization API ##### def dump(self, obj, many=None, update_fields=True, **kwargs): """Serialize an object to native Python data types according to this Schema's fields. :param obj: The object to serialize. :param bool many: Whether to serialize `obj` as a collection. If `None`, the value for `self.many` is used. :param bool update_fields: Whether to update the schema's field classes. Typically set to `True`, but may be `False` when serializing a homogenous collection. This parameter is used by `fields.Nested` to avoid multiple updates. :return: A dict of serialized data :rtype: dict .. versionadded:: 1.0.0 .. versionchanged:: 3.0.0b7 This method returns the serialized data rather than a ``(data, errors)`` duple. A :exc:`ValidationError ` is raised if ``obj`` is invalid. """ errors = {} many = self.many if many is None else bool(many) if many and utils.is_iterable_but_not_string(obj): obj = list(obj) if self._has_processors: try: processed_obj = self._invoke_dump_processors( PRE_DUMP, obj, many, original_data=obj) except ValidationError as error: errors = error.normalized_messages() result = None else: processed_obj = obj if not errors: if update_fields: obj_type = type(processed_obj) if obj_type not in self._types_seen: self._update_fields(processed_obj, many=many) if not isinstance(processed_obj, Mapping): self._types_seen.add(obj_type) try: result = self._marshal( processed_obj, self.fields, many=many, accessor=self.get_attribute, dict_class=self.dict_class, index_errors=self.opts.index_errors, **kwargs ) except ValidationError as error: errors = self._marshal.errors result = error.data if not errors and self._has_processors: try: result = self._invoke_dump_processors( POST_DUMP, result, many, original_data=obj) except ValidationError as error: errors = error.normalized_messages() if errors: exc = ValidationError( errors, field_names=self._marshal.error_field_names, fields=self._marshal.error_fields, data=obj, valid_data=result, **self._marshal.error_kwargs ) # User-defined error handler self.handle_error(exc, obj) raise exc return result def dumps(self, obj, many=None, update_fields=True, *args, **kwargs): """Same as :meth:`dump`, except return a JSON-encoded string. :param obj: The object to serialize. :param bool many: Whether to serialize `obj` as a collection. If `None`, the value for `self.many` is used. :param bool update_fields: Whether to update the schema's field classes. Typically set to `True`, but may be `False` when serializing a homogenous collection. This parameter is used by `fields.Nested` to avoid multiple updates. :return: A ``json`` string :rtype: str .. versionadded:: 1.0.0 .. versionchanged:: 3.0.0b7 This method returns the serialized data rather than a ``(data, errors)`` duple. A :exc:`ValidationError ` is raised if ``obj`` is invalid. """ serialized = self.dump(obj, many=many, update_fields=update_fields) return self.opts.render_module.dumps(serialized, *args, **kwargs) def load(self, data, many=None, partial=None): """Deserialize a data structure to an object defined by this Schema's fields and :meth:`make_object`. :param dict data: The data to deserialize. :param bool many: Whether to deserialize `data` as a collection. If `None`, the value for `self.many` is used. :param bool|tuple partial: Whether to ignore missing fields. If `None`, the value for `self.partial` is used. If its value is an iterable, only missing fields listed in that iterable will be ignored. :return: A dict of deserialized data :rtype: dict .. versionadded:: 1.0.0 .. versionchanged:: 3.0.0b7 This method returns the deserialized data rather than a ``(data, errors)`` duple. A :exc:`ValidationError ` is raised if invalid data are passed. """ return self._do_load(data, many, partial=partial, postprocess=True) def loads(self, json_data, many=None, *args, **kwargs): """Same as :meth:`load`, except it takes a JSON string as input. :param str json_data: A JSON string of the data to deserialize. :param bool many: Whether to deserialize `obj` as a collection. If `None`, the value for `self.many` is used. :param bool|tuple partial: Whether to ignore missing fields. If `None`, the value for `self.partial` is used. If its value is an iterable, only missing fields listed in that iterable will be ignored. :return: A dict of deserialized data :rtype: dict .. versionadded:: 1.0.0 .. versionchanged:: 3.0.0b7 This method returns the deserialized data rather than a ``(data, errors)`` duple. A :exc:`ValidationError ` is raised if invalid data are passed. """ # TODO: This avoids breaking backward compatibility if people were # passing in positional args after `many` for use by `json.loads`, but # ideally we shouldn't have to do this. partial = kwargs.pop('partial', None) data = self.opts.render_module.loads(json_data, *args, **kwargs) return self.load(data, many=many, partial=partial) def validate(self, data, many=None, partial=None): """Validate `data` against the schema, returning a dictionary of validation errors. :param dict data: The data to validate. :param bool many: Whether to validate `data` as a collection. If `None`, the value for `self.many` is used. :param bool|tuple partial: Whether to ignore missing fields. If `None`, the value for `self.partial` is used. If its value is an iterable, only missing fields listed in that iterable will be ignored. :return: A dictionary of validation errors. :rtype: dict .. versionadded:: 1.1.0 """ try: self._do_load(data, many, partial=partial, postprocess=False) except ValidationError as exc: return exc.messages return {} ##### Private Helpers ##### def _do_load(self, data, many=None, partial=None, postprocess=True): """Deserialize `data`, returning the deserialized result. :param data: The data to deserialize. :param bool many: Whether to deserialize `data` as a collection. If `None`, the value for `self.many` is used. :param bool|tuple partial: Whether to validate required fields. If its value is an iterable, only fields listed in that iterable will be ignored will be allowed missing. If `True`, all fields will be allowed missing. If `None`, the value for `self.partial` is used. :param bool postprocess: Whether to run post_load methods.. :return: A tuple of the form (`data`, `errors`) """ errors = {} many = self.many if many is None else bool(many) if partial is None: partial = self.partial try: processed_data = self._invoke_load_processors( PRE_LOAD, data, many, original_data=data) except ValidationError as err: errors = err.normalized_messages() result = None if not errors: try: result = self._unmarshal( processed_data, self.fields, many=many, partial=partial, dict_class=self.dict_class, index_errors=self.opts.index_errors, ) except ValidationError as error: result = error.data self._invoke_field_validators(data=result, many=many) errors = self._unmarshal.errors field_errors = bool(errors) # Run schema-level migration try: self._invoke_validators(pass_many=True, data=result, original_data=data, many=many, field_errors=field_errors) except ValidationError as err: errors.update(err.messages) try: self._invoke_validators(pass_many=False, data=result, original_data=data, many=many, field_errors=field_errors) except ValidationError as err: errors.update(err.messages) # Run post processors if not errors and postprocess: try: result = self._invoke_load_processors( POST_LOAD, result, many, original_data=data) except ValidationError as err: errors = err.normalized_messages() if errors: exc = ValidationError( errors, field_names=self._unmarshal.error_field_names, fields=self._unmarshal.error_fields, data=data, valid_data=result, **self._unmarshal.error_kwargs ) self.handle_error(exc, data) raise exc return result def _normalize_nested_options(self): """Apply then flatten nested schema options""" if self.only: # Apply the only option to nested fields. self.__apply_nested_option('only', self.only) # Remove the child field names from the only option. self.only = self.set_class( [field.split('.', 1)[0] for field in self.only]) excludes = set(self.opts.exclude) | set(self.exclude) if excludes: # Apply the exclude option to nested fields. self.__apply_nested_option('exclude', excludes) if self.exclude: # Remove the parent field names from the exclude option. self.exclude = self.set_class( [field for field in self.exclude if '.' not in field]) if self.opts.exclude: # Remove the parent field names from the meta exclude option. self.opts.exclude = self.set_class( [field for field in self.opts.exclude if '.' not in field]) def __apply_nested_option(self, option_name, field_names): """Apply nested options to nested fields""" # Split nested field names on the first dot. nested_fields = [name.split('.', 1) for name in field_names if '.' in name] # Partition the nested field names by parent field. nested_options = defaultdict(list) for parent, nested_names in nested_fields: nested_options[parent].append(nested_names) # Apply the nested field options. for key, options in iter(nested_options.items()): setattr(self.declared_fields[key], option_name, self.set_class(options)) def _update_fields(self, obj=None, many=False): """Update fields based on the passed in object.""" if self.only: # Return only fields specified in only option if self.opts.fields: field_names = self.set_class(self.opts.fields) & self.set_class(self.only) else: field_names = self.set_class(self.only) elif self.opts.fields: # Return fields specified in fields option field_names = self.set_class(self.opts.fields) elif self.opts.additional: # Return declared fields + additional fields field_names = (self.set_class(self.declared_fields.keys()) | self.set_class(self.opts.additional)) else: field_names = self.set_class(self.declared_fields.keys()) # If "exclude" option or param is specified, remove those fields excludes = set(self.opts.exclude) | set(self.exclude) if excludes: field_names = field_names - excludes ret = self.__filter_fields(field_names, obj, many=many) # Set parents self.__set_field_attrs(ret) self.fields = ret return self.fields def on_bind_field(self, field_name, field_obj): """Hook to modify a field when it is bound to the `Schema`. No-op by default.""" return None def __set_field_attrs(self, fields_dict): """Bind fields to the schema, setting any necessary attributes on the fields (e.g. parent and name). Also set field load_only and dump_only values if field_name was specified in ``class Meta``. """ for field_name, field_obj in iteritems(fields_dict): try: if field_name in self.load_only: field_obj.load_only = True if field_name in self.dump_only: field_obj.dump_only = True field_obj._add_to_schema(field_name, self) self.on_bind_field(field_name, field_obj) except TypeError: # field declared as a class, not an instance if (isinstance(field_obj, type) and issubclass(field_obj, base.FieldABC)): msg = ('Field for "{0}" must be declared as a ' 'Field instance, not a class. ' 'Did you mean "fields.{1}()"?' .format(field_name, field_obj.__name__)) raise TypeError(msg) return fields_dict def __filter_fields(self, field_names, obj, many=False): """Return only those field_name:field_obj pairs specified by ``field_names``. :param set field_names: Field names to include in the final return dictionary. :returns: An dict of field_name:field_obj pairs. """ if obj and many: try: # Homogeneous collection # Prefer getitem over iter to prevent breaking serialization # of objects for which iter will modify position in the collection # e.g. Pymongo cursors if hasattr(obj, '__getitem__') and callable(getattr(obj, '__getitem__')): try: obj_prototype = obj[0] except KeyError: obj_prototype = next(iter(obj)) else: obj_prototype = next(iter(obj)) except (StopIteration, IndexError): # Nothing to serialize return {k: v for k, v in self.declared_fields.items() if k in field_names} obj = obj_prototype ret = self.dict_class() for key in field_names: if key in self.declared_fields: ret[key] = self.declared_fields[key] else: # Implicit field creation (class Meta 'fields' or 'additional') if obj: attribute_type = None try: if isinstance(obj, Mapping): attribute_type = type(obj[key]) else: attribute_type = type(getattr(obj, key)) except (AttributeError, KeyError) as err: err_type = type(err) raise err_type( '"{0}" is not a valid field for {1}.'.format(key, obj)) field_obj = self.TYPE_MAPPING.get(attribute_type, fields.Field)() else: # Object is None field_obj = fields.Field() # map key -> field (default to Raw) ret[key] = field_obj return ret def _invoke_dump_processors(self, tag_name, data, many, original_data=None): # The pass_many post-dump processors may do things like add an envelope, so # invoke those after invoking the non-pass_many processors which will expect # to get a list of items. data = self._invoke_processors(tag_name, pass_many=False, data=data, many=many, original_data=original_data) data = self._invoke_processors(tag_name, pass_many=True, data=data, many=many, original_data=original_data) return data def _invoke_load_processors(self, tag_name, data, many, original_data=None): # This has to invert the order of the dump processors, so run the pass_many # processors first. data = self._invoke_processors(tag_name, pass_many=True, data=data, many=many, original_data=original_data) data = self._invoke_processors(tag_name, pass_many=False, data=data, many=many, original_data=original_data) return data def _invoke_field_validators(self, data, many): for attr_name in self.__processors__[(VALIDATES, False)]: validator = getattr(self, attr_name) validator_kwargs = validator.__marshmallow_kwargs__[(VALIDATES, False)] field_name = validator_kwargs['field_name'] try: field_obj = self.fields[field_name] except KeyError: if field_name in self.declared_fields: continue raise ValueError('"{0}" field does not exist.'.format(field_name)) if many: for idx, item in enumerate(data): try: value = item[field_obj.attribute or field_name] except KeyError: pass else: validated_value = self._unmarshal.call_and_store( getter_func=validator, data=value, field_name=field_name, field_obj=field_obj, index=(idx if self.opts.index_errors else None) ) if validated_value is missing: data[idx].pop(field_name, None) else: try: value = data[field_obj.attribute or field_name] except KeyError: pass else: validated_value = self._unmarshal.call_and_store( getter_func=validator, data=value, field_name=field_name, field_obj=field_obj ) if validated_value is missing: data.pop(field_name, None) def _invoke_validators(self, pass_many, data, original_data, many, field_errors=False): errors = {} for attr_name in self.__processors__[(VALIDATES_SCHEMA, pass_many)]: validator = getattr(self, attr_name) validator_kwargs = validator.__marshmallow_kwargs__[(VALIDATES_SCHEMA, pass_many)] pass_original = validator_kwargs.get('pass_original', False) skip_on_field_errors = validator_kwargs['skip_on_field_errors'] if skip_on_field_errors and field_errors: continue if pass_many: validator = functools.partial(validator, many=many) if many and not pass_many: for idx, (item, orig) in enumerate(zip(data, original_data)): try: self._unmarshal.run_validator( validator, item, orig, self.fields, many=many, index=idx, pass_original=pass_original) except ValidationError as err: errors.update(err.messages) else: try: self._unmarshal.run_validator(validator, data, original_data, self.fields, many=many, pass_original=pass_original) except ValidationError as err: errors.update(err.messages) if errors: raise ValidationError(errors) return None def _invoke_processors(self, tag_name, pass_many, data, many, original_data=None): for attr_name in self.__processors__[(tag_name, pass_many)]: # This will be a bound method. processor = getattr(self, attr_name) processor_kwargs = processor.__marshmallow_kwargs__[(tag_name, pass_many)] pass_original = processor_kwargs.get('pass_original', False) if pass_many: if pass_original: data = utils.if_none(processor(data, many, original_data), data) else: data = utils.if_none(processor(data, many), data) elif many: if pass_original: data = [utils.if_none(processor(item, original), item) for item, original in zip(data, original_data)] else: data = [utils.if_none(processor(item), item) for item in data] else: if pass_original: data = utils.if_none(processor(data, original_data), data) else: data = utils.if_none(processor(data), data) return data class Schema(with_metaclass(SchemaMeta, BaseSchema)): __doc__ = BaseSchema.__doc__