def __init__(self, key_type=None, value_type=None, **kw):
super(Dict, self).__init__(**kw)
# whine if key_type or value_type is not a field
if key_type is not None and not IField.providedBy(key_type):
raise ValueError("'key_type' must be field instance.")
if value_type is not None and not IField.providedBy(value_type):
raise ValueError("'value_type' must be field instance.")
self.key_type = key_type
self.value_type = value_type
def __init__(self, key_type=None, value_type=None, **kw):
super(Dict, self).__init__(**kw)
# whine if key_type or value_type is not a field
if key_type is not None and not IField.providedBy(key_type):
raise ValueError("'key_type' must be field instance.")
if value_type is not None and not IField.providedBy(value_type):
raise ValueError("'value_type' must be field instance.")
self.key_type = key_type
self.value_type = value_type
async def get_value(self, field: IField, obj: IResource, value: Any) -> Any:
try:
if value is not None:
value = get_adapter(field, IJSONToValue, args=[value, obj])
if asyncio.iscoroutine(value):
value = await value
field.validate(value)
return value
except ComponentLookupError:
raise ValueDeserializationError(field, value, "Deserializer not found for field")
def __init__(self, value_type=None, unique=False, **kw):
super(AbstractCollection, self).__init__(**kw)
# whine if value_type is not a field
if value_type is not None and not IField.providedBy(value_type):
raise ValueError("'value_type' must be field instance.")
self.value_type = value_type
self.unique = unique
def __init__(self, value_type=None, unique=False, **kw):
super(AbstractCollection, self).__init__(**kw)
# whine if value_type is not a field
if value_type is not None and not IField.providedBy(value_type):
raise ValueError("'value_type' must be field instance.")
self.value_type = value_type
self.unique = unique
async def __call__(self):
result = {'type': self.field_type}
for schema in implementedBy(self.field.__class__).flattened():
self.field_attributes.update(getFields(schema))
for attribute_name in sorted(self.field_attributes.keys()):
attribute_field = self.field_attributes[attribute_name]
if attribute_name in self.filtered_attributes:
continue
element_name = attribute_field.__name__
attribute_field = attribute_field.bind(self.field)
force = (element_name in self.forced_fields)
value = attribute_field.get(self.field)
# For 'default', 'missing_value' etc, we want to validate against
# the imported field type itself, not the field type of the
# attribute
if element_name in self.field_type_attributes or \
element_name in self.non_validated_field_type_attributes:
attribute_field = self.field
text = None
if isinstance(value, bytes):
text = value.decode('utf-8')
elif isinstance(value, str):
text = value
elif IField.providedBy(value):
serializer = getMultiAdapter((value, self.field, self.request),
ISchemaFieldSerializeToJson)
text = await serializer()
elif value is not None and (force
or value != self.field.missing_value):
text = IValueToJson(value)
# handle i18n
# if isinstance(value, Message):
# child.set(ns('domain', I18N_NAMESPACE), value.domain)
# if not value.default:
# child.set(ns('translate', I18N_NAMESPACE), '')
# else:
# child.set(ns('translate', I18N_NAMESPACE), child.text)
# child.text = converter.toUnicode(value.default)
if text:
if attribute_name == 'value_type':
attribute_name = 'items'
result[attribute_name] = text
if result['type'] == 'object':
if IJSONField.providedBy(self.field):
result['properties'] = self.field.json_schema
else:
schema_serializer = getMultiAdapter(
(self.field.schema, self.request), ISchemaSerializeToJson)
result['properties'] = await schema_serializer()
return result
def get_fields(schema):
"""Return a dictionary containing all the Fields in a schema.
"""
from guillotina.schema.interfaces import IField
fields = {}
for name in schema:
attr = schema[name]
if IField.providedBy(attr):
fields[name] = attr
return fields
def __init__(self, value_type=None, unique=False, naive=False, **kw):
super(AbstractCollection, self).__init__(**kw)
# whine if value_type is not a field
if value_type is not None and not IField.providedBy(value_type):
raise ValueError("'value_type' must be field instance.")
if value_type:
value_type.__name__ = self.__name__
self.value_type = value_type
self.unique = unique
# naive designates if a field's sub type should be validated or not
self.naive = naive
def _validate_fields(schema, value, errors=None):
if errors is None:
errors = []
# Interface can be used as schema property for Object fields that plan to
# hold values of any type.
# Because Interface does not include any Attribute, it is obviously not
# worth looping on its methods and filter them all out.
if schema is Interface:
return errors
# if `value` is part of a cyclic graph, we need to break the cycle to avoid
# infinite recursion. Collect validated objects in a thread local dict by
# it's python represenation. A previous version was setting a volatile
# attribute which didn't work with security proxy
if id(value) in VALIDATED_VALUES:
return errors
VALIDATED_VALUES[id(value)] = True
# (If we have gotten here, we know that `value` provides an interface
# other than zope.interface.Interface;
# iow, we can rely on the fact that it is an instance
# that supports attribute assignment.)
try:
for name in schema.names(all=True):
if not IMethod.providedBy(schema[name]):
try:
attribute = schema[name]
if IChoice.providedBy(attribute):
# Choice must be bound before validation otherwise
# IContextSourceBinder is not iterable in validation
bound = attribute.bind(value)
bound.validate(getattr(value, name, None))
elif IField.providedBy(attribute):
# validate attributes that are fields
attribute.validate(getattr(value, name, None))
except ValidationError as error:
errors.append(error)
except AttributeError as error:
# property for the given name is not implemented
errors.append(SchemaNotFullyImplemented(error))
finally:
del VALIDATED_VALUES[id(value)]
return errors
def _validate_fields(schema, value, errors=None):
if errors is None:
errors = []
# Interface can be used as schema property for Object fields that plan to
# hold values of any type.
# Because Interface does not include any Attribute, it is obviously not
# worth looping on its methods and filter them all out.
if schema is Interface:
return errors
# if `value` is part of a cyclic graph, we need to break the cycle to avoid
# infinite recursion. Collect validated objects in a thread local dict by
# it's python represenation. A previous version was setting a volatile
# attribute which didn't work with security proxy
if id(value) in VALIDATED_VALUES:
return errors
VALIDATED_VALUES[id(value)] = True
# (If we have gotten here, we know that `value` provides an interface
# other than zope.interface.Interface;
# iow, we can rely on the fact that it is an instance
# that supports attribute assignment.)
try:
for name in schema.names(all=True):
if not IMethod.providedBy(schema[name]):
try:
attribute = schema[name]
if IChoice.providedBy(attribute):
# Choice must be bound before validation otherwise
# IContextSourceBinder is not iterable in validation
bound = attribute.bind(value)
bound.validate(getattr(value, name, None))
elif IField.providedBy(attribute):
# validate attributes that are fields
attribute.validate(getattr(value, name, None))
except ValidationError as error:
errors.append(error)
except AttributeError as error:
# property for the given name is not implemented
errors.append(SchemaNotFullyImplemented(error))
finally:
del VALIDATED_VALUES[id(value)]
return errors
def serialize(self):
field = self.get_field()
result = {"type": self.field_type}
if self.widget is not None:
result["widget"] = self.widget
# caching the field_attributes here improves performance dramatically
if field.__class__ in FIELDS_CACHE:
field_attributes = FIELDS_CACHE[field.__class__].copy()
else:
field_attributes = {}
for schema in implementedBy(field.__class__).flattened():
field_attributes.update(get_fields(schema))
FIELDS_CACHE[field.__class__] = field_attributes
for attribute_name in sorted(field_attributes.keys()):
attribute_field = field_attributes[attribute_name]
if attribute_name in self.filtered_attributes:
continue
element_name = attribute_field.__name__
attribute_field = attribute_field.bind(field)
force = element_name in self.forced_fields
value = attribute_field.get(field)
# For 'default', 'missing_value' etc, we want to validate against
# the imported field type itself, not the field type of the
# attribute
if (
element_name in self.field_type_attributes
or element_name in self.non_validated_field_type_attributes
):
attribute_field = field
text = None
if isinstance(value, bytes):
text = value.decode("utf-8")
elif isinstance(value, str):
text = value
elif IField.providedBy(value):
serializer = get_multi_adapter((value, field, self.request), ISchemaFieldSerializeToJson)
text = serializer.serialize()
if "properties" in text:
text = text["properties"]
elif value is not None and (force or value != field.missing_value):
text = json_compatible(value)
if text:
if attribute_name == "value_type":
attribute_name = "items"
result[attribute_name] = text
if result["type"] == "object":
if IJSONField.providedBy(field):
result.update(field.json_schema)
if IDict.providedBy(field):
if "properties" not in result:
result["properties"] = {}
if field.value_type:
field_serializer = get_multi_adapter(
(field.value_type, self.schema, self.request), ISchemaFieldSerializeToJson
)
result["additionalProperties"] = field_serializer.serialize()
else:
result["additionalProperties"] = True
elif IObject.providedBy(field):
schema_serializer = get_multi_adapter((field.schema, self.request), ISchemaSerializeToJson)
result["properties"] = schema_serializer.serialize()
if field.extra_values is not None:
result.update(field.extra_values)
return result
def getFieldNames(schema):
"""Return a list of all the Field names in a schema.
"""
from guillotina.schema.interfaces import IField
return [name for name in schema if IField.providedBy(schema[name])]
async def __call__(self):
field = self.get_field()
result = {'type': self.field_type}
# caching the field_attributes here improves performance dramatically
if field.__class__ in FIELDS_CACHE:
field_attributes = FIELDS_CACHE[field.__class__].copy()
else:
field_attributes = {}
for schema in implementedBy(field.__class__).flattened():
field_attributes.update(get_fields(schema))
FIELDS_CACHE[field.__class__] = field_attributes
for attribute_name in sorted(field_attributes.keys()):
attribute_field = field_attributes[attribute_name]
if attribute_name in self.filtered_attributes:
continue
element_name = attribute_field.__name__
attribute_field = attribute_field.bind(field)
force = (element_name in self.forced_fields)
value = attribute_field.get(field)
# For 'default', 'missing_value' etc, we want to validate against
# the imported field type itself, not the field type of the
# attribute
if element_name in self.field_type_attributes or \
element_name in self.non_validated_field_type_attributes:
attribute_field = field
text = None
if isinstance(value, bytes):
text = value.decode('utf-8')
elif isinstance(value, str):
text = value
elif IField.providedBy(value):
serializer = get_multi_adapter((value, field, self.request),
ISchemaFieldSerializeToJson)
text = await serializer()
if 'properties' in text:
text = text['properties']
elif value is not None and (force or value != field.missing_value):
text = json_compatible(value)
if text:
if attribute_name == 'value_type':
attribute_name = 'items'
result[attribute_name] = text
if result['type'] == 'object':
if IJSONField.providedBy(field):
result['properties'] = field.json_schema
if IDict.providedBy(field):
if field.value_type:
field_serializer = get_multi_adapter(
(field.value_type, self.schema, self.request),
ISchemaFieldSerializeToJson)
result['additionalProperties'] = await field_serializer()
else:
result['additionalProperties'] = True
elif IObject.providedBy(field):
schema_serializer = get_multi_adapter(
(field.schema, self.request), ISchemaSerializeToJson)
result['properties'] = await schema_serializer()
if field.extra_values is not None:
result.update(field.extra_values)
return result
def serialize(self):
field = self.get_field()
result = {'type': self.field_type}
# caching the field_attributes here improves performance dramatically
if field.__class__ in FIELDS_CACHE:
field_attributes = FIELDS_CACHE[field.__class__].copy()
else:
field_attributes = {}
for schema in implementedBy(field.__class__).flattened():
field_attributes.update(get_fields(schema))
FIELDS_CACHE[field.__class__] = field_attributes
for attribute_name in sorted(field_attributes.keys()):
attribute_field = field_attributes[attribute_name]
if attribute_name in self.filtered_attributes:
continue
element_name = attribute_field.__name__
attribute_field = attribute_field.bind(field)
force = (element_name in self.forced_fields)
value = attribute_field.get(field)
# For 'default', 'missing_value' etc, we want to validate against
# the imported field type itself, not the field type of the
# attribute
if element_name in self.field_type_attributes or \
element_name in self.non_validated_field_type_attributes:
attribute_field = field
text = None
if isinstance(value, bytes):
text = value.decode('utf-8')
elif isinstance(value, str):
text = value
elif IField.providedBy(value):
serializer = get_multi_adapter(
(value, field, self.request),
ISchemaFieldSerializeToJson)
text = serializer.serialize()
if 'properties' in text:
text = text['properties']
elif value is not None and (force or value != field.missing_value):
text = json_compatible(value)
if text:
if attribute_name == 'value_type':
attribute_name = 'items'
result[attribute_name] = text
if result['type'] == 'object':
if IJSONField.providedBy(field):
result.update(field.json_schema)
if IDict.providedBy(field):
if field.value_type:
field_serializer = get_multi_adapter(
(field.value_type, self.schema, self.request),
ISchemaFieldSerializeToJson)
result['additionalProperties'] = field_serializer.serialize()
else:
result['additionalProperties'] = True
elif IObject.providedBy(field):
schema_serializer = get_multi_adapter((field.schema, self.request),
ISchemaSerializeToJson)
result['properties'] = schema_serializer.serialize()
if field.extra_values is not None:
result.update(field.extra_values)
return result
