def __new__(mcs, name, bases, attrs):
fields = _get_fields(attrs, base.FieldABC, pop=True)
klass = super(SchemaMeta, mcs).__new__(mcs, name, bases, attrs)
fields = _get_fields_by_mro(klass, base.FieldABC) + fields
klass._declared_fields = OrderedDict(fields)
class_registry.register(name, klass)
return klass
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 in reverse order rather than
# looping through the MRO because we don't yet have access to the
# class object (i.e. can't call super before we have fields)
ordered = next(
(base for base in bases[::-1]
if hasattr(base, 'Meta') and getattr(base.Meta, 'ordered', False)),
False
)
fields = _get_fields(attrs, base.FieldABC, pop=True, ordered=ordered)
klass = super(SchemaMeta, mcs).__new__(mcs, name, bases, attrs)
fields = _get_fields_by_mro(klass, base.FieldABC) + fields
dict_cls = OrderedDict if ordered else dict
klass._declared_fields = dict_cls(fields)
class_registry.register(name, klass)
# Need to copy validators, data handlers, and preprocessors lists
# so they are not shared among subclasses and ancestors
for attr in mcs.FUNC_LISTS:
attr_copy = copy.copy(getattr(klass, attr))
setattr(klass, attr, attr_copy)
return klass
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 in reverse order rather than
# looping through the MRO because we don't yet have access to the
# class object (i.e. can't call super before we have fields)
ordered = next((base
for base in bases[::-1] if hasattr(base, 'Meta')
and getattr(base.Meta, 'ordered', False)), False)
include = list(getattr(meta, 'include', {}).items())
fields = _get_fields(attrs, base.FieldABC, pop=True,
ordered=ordered) + include
klass = super(SchemaMeta, mcs).__new__(mcs, name, bases, attrs)
fields = _get_fields_by_mro(klass, base.FieldABC) + fields
dict_cls = OrderedDict if ordered else dict
klass._declared_fields = dict_cls(fields)
class_registry.register(name, klass)
# Need to copy validators, data handlers, and preprocessors lists
# so they are not shared among subclasses and ancestors
for attr in mcs.FUNC_LISTS:
attr_copy = copy.copy(getattr(klass, attr))
setattr(klass, attr, attr_copy)
return klass
def __new__(mcs, name, bases, attrs):
meta = attrs.get('Meta')
ordered = getattr(meta, 'ordered', False)
fields = _get_fields(attrs, base.FieldABC, pop=True, ordered=ordered)
klass = super(SchemaMeta, mcs).__new__(mcs, name, bases, attrs)
fields = _get_fields_by_mro(klass, base.FieldABC) + fields
dict_cls = OrderedDict if ordered else dict
klass._declared_fields = dict_cls(fields)
class_registry.register(name, klass)
return klass
def __new__(mcs, name, bases, attrs):
meta = attrs.get('Meta')
ordered = getattr(meta, 'ordered', False)
fields = _get_fields(attrs, base.FieldABC, pop=True, ordered=ordered)
klass = super(SchemaMeta, mcs).__new__(mcs, name, bases, attrs)
fields = _get_fields_by_mro(klass, base.FieldABC) + fields
dict_cls = OrderedDict if ordered else dict
klass._declared_fields = dict_cls(fields)
class_registry.register(name, klass)
return klass
def process_objects(self, app: Flask, objects):
for name, serializer in objects.items():
self.bundle.serializers[name] = serializer
class_registry.register(name, serializer)
model = serializer.Meta.model
model_name = model if isinstance(model, str) else model.__name__
kind = getattr(serializer, '__kind__', 'all')
if kind == 'all':
self.bundle.serializers_by_model[model_name] = serializer
api.register_serializer(serializer, name=title_case(model_name))
elif kind == 'create':
self.bundle.create_by_model[model_name] = serializer
elif kind == 'many':
self.bundle.many_by_model[model_name] = serializer
def __init__(cls, name, bases, attrs):
super().__init__(name, bases, attrs)
if name and cls.opts.register:
class_registry.register(name, cls)
cls._hooks = cls.resolve_hooks()
def __init__(self, name, bases, attrs):
super(SchemaMeta, self).__init__(name, bases, attrs)
if name:
class_registry.register(name, self)
self._hooks = self.resolve_hooks()
def __init__(self, name, bases, attrs):
super().__init__(name, bases, attrs)
if name and self.opts.register:
class_registry.register(name, self)
self._hooks = self.resolve_hooks()
def __init__(self, name, bases, attrs):
super(SchemaMeta, self).__init__(name, bases, attrs)
class_registry.register(name, self)
self._copy_func_attrs()
self._resolve_processors()
def __call__(self, cls):
def dump(cls, obj, many=None):
with_meta = dict(attributes=obj, type=cls.__name__)
return super(Data, self).dump(with_meta, many=None)
cls_instance = deepcopy(cls())
# Check if schema is an inheritance of another decorated schema with JsonApificator
# Eg:
# @JsonApificator(attributes={"required": True})
# class Father(Schema):
# name = fields.Str(required=True)
# age = fields.Int(required=True)
# cpf = fields.Str()
#
# @JsonApificator(attributes={"required": True})
# class Child(Person):
# name = fields.Str(required=False)
# age = fields.Int(required=False)
# In this case it needs overwrite the attributes with the new attributes
if 'data' in cls_instance.fields:
nested = (cls_instance.fields.pop('data')).nested()
# deepcopy is necessary to not overwrite the Father attributes schema
old_fields = deepcopy(nested.fields['attributes'].schema.fields)
old_fields.update(cls_instance.fields)
cls_instance.fields = old_fields
json_api_fields = {
"id": ma.fields.Str(**self._id),
"type": ma.fields.Str(**self._type),
"attributes": ma.fields.Nested(cls_instance, **self._attributes)
}
# If any relationship is informed, then it will be necessary to set them into Relatioship
if self._relationships:
relationships_fields = {}
for relation in self._relationships:
# Convert camel case class name to underscore pattern and then add itself in Nested field
relationships_fields[camel_case_to_underscore(
relation['relationships'].__name__)] = ma.fields.Nested(
relation['relationships'],
**relation.get('extra_kwargs', {}))
# Create Relatioship class with its attributes
Relationships = type('Relationships', (ma.Schema, ),
relationships_fields)
json_api_fields['relationships'] = ma.fields.Nested(
Relationships())
if self._many:
attr_pop = json_api_fields.pop('attributes')
json_api_fields.update(attr_pop.schema.fields)
# Create JsonApi class when many is True
JsonApi = type('JsonApi', (ma.Schema, ), json_api_fields)
else:
# Create JsonApi class with its attributes
JsonApi = type('JsonApi', (ma.Schema, ), json_api_fields)
JsonApi.dump = classmethod(dump)
class Data(ma.Schema):
_required = {"required": False}
if self._type.get('required') or self._attributes.get(
'required') or self._id.get('required'):
_required['required'] = True
data = ma.fields.Nested(JsonApi, many=self._many, **_required)
# Include other attributes into Data schema
for _attr in self._other_attributes:
vars()[_attr['name']] = ma.fields.Nested(
_attr['schema'], **_attr.get('attrs', {}))
# Add other attributes into schema
Data.dump = classmethod(dump)
Data.orig = cls_instance
Data.__name__ = 'JsonApi_' + cls.__name__
Data.description = 'JsonApi_' + cls.__name__
Data.children = []
Data.params_description = self._params_description
register(Data.__name__, Data)
return Data
def __new__(mcs, name, bases, attrs):
attrs['_declared_fields'] = mcs.get_declared_fields(
bases, attrs, base.FieldABC)
new_class = super(SerializerMeta, mcs).__new__(mcs, name, bases, attrs)
class_registry.register(name, new_class)
return new_class
def __init__(self, name, bases, attrs):
super(SchemaMeta, self).__init__(name, bases, attrs)
if name:
class_registry.register(name, self)
self._resolve_processors()
def __new__(mcs, name, bases, attrs):
attrs['_declared_fields'] = mcs.get_declared_fields(bases, attrs, base.FieldABC)
new_class = super(SerializerMeta, mcs).__new__(mcs, name, bases, attrs)
class_registry.register(name, new_class)
return new_class
def register_schema(name, schema):
register(name, schema)
spec.definition(name, schema=schema)