deb-designate/designate/objects/base.py
Graham Hayes 1e10782836 Validate SRV records have the correct name on the recordset
Change-Id: Ibaf48d0b540f6c72c061dec94c43213c6e724c0b
Closes-Bug: #1441146
2015-04-07 16:38:23 +01:00

649 lines
20 KiB
Python

# Copyright (c) 2014 Rackspace Hosting
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import copy
import urlparse
import six
import jsonschema
from oslo_log import log as logging
from designate import exceptions
from designate.schema import validators
from designate.schema import format
LOG = logging.getLogger(__name__)
class NotSpecifiedSentinel:
pass
def get_attrname(name):
"""Return the mangled name of the attribute's underlying storage."""
return '_obj_field_%s' % name
def make_class_properties(cls):
"""Build getter and setter methods for all the objects attributes"""
# Prepare an empty dict to gather the merged/final set of fields
fields = {}
# Add each supercls's fields
for supercls in cls.mro()[1:-1]:
if not hasattr(supercls, 'FIELDS'):
continue
fields.update(supercls.FIELDS)
# Add our fields
fields.update(cls.FIELDS)
# Store the results
cls.FIELDS = fields
for field in cls.FIELDS.keys():
def getter(self, name=field):
self._obj_check_relation(name)
return getattr(self, get_attrname(name), None)
def setter(self, value, name=field):
if (self.obj_attr_is_set(name) and value != getattr(self, name)
or not self.obj_attr_is_set(name)):
self._obj_changes.add(name)
if (self.obj_attr_is_set(name) and value != getattr(self, name)
and name not in self._obj_original_values.keys()):
self._obj_original_values[name] = getattr(self, name)
return setattr(self, get_attrname(name), value)
setattr(cls, field, property(getter, setter))
def _schema_ref_resolver(uri):
"""
Fetches an DesignateObject's schema from a JSON Schema Reference URI
Sample URI: obj://ObjectName#/subpathA/subpathB
"""
obj_name = urlparse.urlsplit(uri).netloc
obj = DesignateObject.obj_cls_from_name(obj_name)
return obj.obj_get_schema()
def make_class_validator(obj):
schema = {
'$schema': 'http://json-schema.org/draft-04/hyper-schema',
'title': obj.obj_name(),
'description': 'Designate %s Object' % obj.obj_name(),
}
if isinstance(obj, ListObjectMixin):
schema['type'] = 'array',
schema['items'] = make_class_validator(obj.LIST_ITEM_TYPE)
else:
schema['type'] = 'object'
schema['additionalProperties'] = False
schema['required'] = []
schema['properties'] = {}
for name, properties in obj.FIELDS.items():
if properties.get('relation', False):
if obj.obj_attr_is_set(name):
schema['properties'][name] = \
make_class_validator(getattr(obj, name))
else:
schema['properties'][name] = properties.get('schema', {})
if properties.get('required', False):
schema['required'].append(name)
resolver = jsonschema.RefResolver.from_schema(
schema, handlers={'obj': _schema_ref_resolver})
obj._obj_validator = validators.Draft4Validator(
schema, resolver=resolver, format_checker=format.draft4_format_checker)
return schema
class DesignateObjectMetaclass(type):
def __init__(cls, names, bases, dict_):
if not hasattr(cls, '_obj_classes'):
# This means we're working on the base DesignateObject class,
# and can skip the remaining Metaclass functionality
cls._obj_classes = {}
return
make_class_properties(cls)
# Add a reference to the finished class into the _obj_classes
# dictionary, allowing us to lookup classes by their name later - this
# is useful for e.g. referencing another DesignateObject in a
# validation schema.
if cls.obj_name() not in cls._obj_classes:
cls._obj_classes[cls.obj_name()] = cls
else:
raise Exception("Duplicate DesignateObject with name '%(name)s'" %
{'name': cls.obj_name()})
@six.add_metaclass(DesignateObjectMetaclass)
class DesignateObject(object):
FIELDS = {}
def _obj_check_relation(self, name):
if name in self.FIELDS and self.FIELDS[name].get('relation', False):
if not self.obj_attr_is_set(name):
raise exceptions.RelationNotLoaded
@classmethod
def obj_cls_from_name(cls, name):
"""Retrieves a object cls from the registry by name and returns it."""
return cls._obj_classes[name]
@classmethod
def from_primitive(cls, primitive):
"""
Construct an object from primitive types
This is used while deserializing the object.
"""
objcls = cls.obj_cls_from_name(primitive['designate_object.name'])
return objcls._obj_from_primitive(primitive)
@classmethod
def _obj_from_primitive(cls, primitive):
instance = cls()
for field, value in primitive['designate_object.data'].items():
if isinstance(value, dict) and 'designate_object.name' in value:
setattr(instance, field, DesignateObject.from_primitive(value))
else:
setattr(instance, field, value)
instance._obj_changes = set(primitive['designate_object.changes'])
instance._obj_original_values = \
primitive['designate_object.original_values']
return instance
@classmethod
def from_dict(cls, _dict):
instance = cls()
for field, value in _dict.items():
if (field in instance.FIELDS and
instance.FIELDS[field].get('relation', False)):
relation_cls_name = instance.FIELDS[field]['relation_cls']
# We're dealing with a relation, we'll want to create the
# correct object type and recurse
relation_cls = cls.obj_cls_from_name(relation_cls_name)
if isinstance(value, list):
setattr(instance, field, relation_cls.from_list(value))
else:
setattr(instance, field, relation_cls.from_dict(value))
else:
setattr(instance, field, value)
return instance
@classmethod
def from_list(cls, _list):
raise NotImplementedError()
@classmethod
def obj_name(cls):
"""Return a canonical name for this object which will be used over
the wire and in validation schemas.
"""
return cls.__name__
@classmethod
def obj_get_schema(cls):
"""Returns the JSON Schema for this Object."""
return cls._obj_validator.schema
def __init__(self, **kwargs):
self._obj_changes = set()
self._obj_original_values = dict()
for name, value in kwargs.items():
if name in self.FIELDS.keys():
setattr(self, name, value)
else:
raise TypeError("__init__() got an unexpected keyword "
"argument '%(name)s'" % {'name': name})
def to_primitive(self):
"""
Convert the object to primitive types so that the object can be
serialized.
NOTE: Currently all the designate objects contain primitive types that
do not need special handling. If this changes we need to modify this
function.
"""
data = {}
for field in self.FIELDS.keys():
if self.obj_attr_is_set(field):
if isinstance(getattr(self, field), DesignateObject):
data[field] = getattr(self, field).to_primitive()
else:
data[field] = getattr(self, field)
return {
'designate_object.name': self.obj_name(),
'designate_object.data': data,
'designate_object.changes': sorted(self._obj_changes),
'designate_object.original_values': dict(self._obj_original_values)
}
def to_dict(self):
"""Convert the object to a simple dictionary."""
data = {}
for field in self.FIELDS.keys():
if self.obj_attr_is_set(field):
if isinstance(getattr(self, field), ListObjectMixin):
data[field] = getattr(self, field).to_list()
elif isinstance(getattr(self, field), DesignateObject):
data[field] = getattr(self, field).to_dict()
else:
data[field] = getattr(self, field)
return data
def update(self, values):
"""Update a object's fields with the supplied key/value pairs"""
for k, v in values.iteritems():
setattr(self, k, v)
@property
def is_valid(self):
"""Returns True if the Object is valid."""
make_class_validator(self)
return self._obj_validator.is_valid(self.to_dict())
def validate(self):
make_class_validator(self)
# NOTE(kiall): We make use of the Object registry here in order to
# avoid an impossible circular import.
ValidationErrorList = self.obj_cls_from_name('ValidationErrorList')
ValidationError = self.obj_cls_from_name('ValidationError')
values = self.to_dict()
errors = ValidationErrorList()
LOG.debug("Validating '%(name)s' object with values: %(values)r", {
'name': self.obj_name(),
'values': values,
})
for error in self._obj_validator.iter_errors(values):
errors.append(ValidationError.from_js_error(error))
if len(errors) > 0:
raise exceptions.InvalidObject(
"Provided object does not match "
"schema", errors=errors, object=self)
def obj_attr_is_set(self, name):
"""
Return True or False depending of if a particular attribute has had
an attribute's value explicitly set.
"""
return hasattr(self, get_attrname(name))
def obj_what_changed(self):
"""Returns a set of fields that have been modified."""
return set(self._obj_changes)
def obj_get_changes(self):
"""Returns a dict of changed fields and their new values."""
changes = {}
for key in self.obj_what_changed():
changes[key] = getattr(self, key)
return changes
def obj_reset_changes(self, fields=None):
"""Reset the list of fields that have been changed."""
if fields:
self._obj_changes -= set(fields)
for field in fields:
self._obj_original_values.pop(field, None)
else:
self._obj_changes.clear()
self._obj_original_values = dict()
def obj_get_original_value(self, field):
"""Returns the original value of a field."""
if field in self._obj_original_values.keys():
return self._obj_original_values[field]
elif self.obj_attr_is_set(field):
return getattr(self, field)
else:
raise KeyError(field)
def __setattr__(self, name, value):
"""Enforces all object attributes are private or well defined"""
if name[0:5] == '_obj_' or name in self.FIELDS.keys() \
or name == 'FIELDS':
super(DesignateObject, self).__setattr__(name, value)
else:
raise AttributeError(
"Designate object '%(type)s' has no attribute '%(name)s'" % {
'type': self.obj_name(),
'name': name,
})
def __deepcopy__(self, memodict=None):
"""
Efficiently make a deep copy of this object.
"Efficiently" is used here a relative term, this will be faster
than allowing python to naively deepcopy the object.
"""
memodict = memodict or {}
c_obj = self.__class__()
for field in self.FIELDS.keys():
if self.obj_attr_is_set(field):
c_field = copy.deepcopy(getattr(self, field), memodict)
setattr(c_obj, field, c_field)
c_obj._obj_changes = set(self._obj_changes)
return c_obj
def __eq__(self, other):
if self.__class__ != other.__class__:
return False
return self.to_primitive() == other.to_primitive()
def __ne__(self, other):
return not(self.__eq__(other))
class DictObjectMixin(object):
"""
Mixin to allow DesignateObjects to behave like dictionaries
Eventually, this should be removed as other code is updated to use object
rather than dictionary accessors.
"""
def __getitem__(self, key):
return getattr(self, key)
def __setitem__(self, key, value):
setattr(self, key, value)
def __contains__(self, item):
return item in self.FIELDS.keys()
def get(self, key, default=NotSpecifiedSentinel):
if key not in self.FIELDS.keys():
raise AttributeError("'%s' object has no attribute '%s'" % (
self.__class__, key))
if default != NotSpecifiedSentinel and not self.obj_attr_is_set(key):
return default
else:
return getattr(self, key)
def iteritems(self):
for field in self.FIELDS.keys():
if self.obj_attr_is_set(field):
yield field, getattr(self, field)
def __iter__(self):
for field in self.FIELDS.keys():
if self.obj_attr_is_set(field):
yield field, getattr(self, field)
items = lambda self: list(self.iteritems())
class ListObjectMixin(object):
"""Mixin to allow DesignateObjects to behave like python lists."""
FIELDS = {
'objects': {
'relation': True
}
}
LIST_ITEM_TYPE = DesignateObject
@classmethod
def _obj_from_primitive(cls, primitive):
instance = cls()
for field, value in primitive['designate_object.data'].items():
if field == 'objects':
instance.objects = [DesignateObject.from_primitive(v) for v in
value]
elif isinstance(value, dict) and 'designate_object.name' in value:
setattr(instance, field, DesignateObject.from_primitive(value))
else:
setattr(instance, field, value)
instance._obj_changes = set(primitive['designate_object.changes'])
instance._obj_original_values = \
primitive['designate_object.original_values']
return instance
@classmethod
def from_list(cls, _list):
instance = cls()
for item in _list:
instance.append(cls.LIST_ITEM_TYPE.from_dict(item))
return instance
def to_list(self):
list_ = []
for item in self.objects:
if isinstance(item, ListObjectMixin):
list_.append(item.to_list())
elif isinstance(item, DesignateObject):
list_.append(item.to_dict())
else:
list_.append(item)
return list_
def __init__(self, *args, **kwargs):
super(ListObjectMixin, self).__init__(*args, **kwargs)
if 'objects' not in kwargs:
self.objects = []
self.obj_reset_changes(['objects'])
def to_primitive(self):
data = {}
for field in self.FIELDS.keys():
if self.obj_attr_is_set(field):
if field == 'objects':
data[field] = [o.to_primitive() for o in self.objects]
elif isinstance(getattr(self, field), DesignateObject):
data[field] = getattr(self, field).to_primitive()
else:
data[field] = getattr(self, field)
return {
'designate_object.name': self.obj_name(),
'designate_object.data': data,
'designate_object.changes': list(self._obj_changes),
'designate_object.original_values': dict(self._obj_original_values)
}
def __iter__(self):
"""List iterator interface"""
return iter(self.objects)
def __len__(self):
"""List length"""
return len(self.objects)
def __getitem__(self, index):
"""List index access"""
if isinstance(index, slice):
new_obj = self.__class__()
new_obj.objects = self.objects[index]
new_obj.obj_reset_changes()
return new_obj
return self.objects[index]
def __setitem__(self, index, value):
"""Set list index value"""
self.objects[index] = value
def __contains__(self, value):
"""List membership test"""
return value in self.objects
def append(self, value):
"""Append a value to the list"""
return self.objects.append(value)
def extend(self, values):
"""Extend the list by appending all the items in the given list"""
return self.objects.extend(values)
def pop(self, index):
"""Pop a value from the list"""
return self.objects.pop(index)
def insert(self, index, value):
"""Insert a value into the list at the given index"""
return self.objects.insert(index, value)
def remove(self, value):
"""Remove a value from the list"""
return self.objects.remove(value)
def index(self, value):
"""List index of value"""
return self.objects.index(value)
def count(self, value):
"""List count of value occurrences"""
return self.objects.count(value)
def sort(self, cmp=None, key=None, reverse=False):
self.objects.sort(cmp=cmp, key=key, reverse=reverse)
def obj_what_changed(self):
changes = set(self._obj_changes)
for item in self.objects:
if item.obj_what_changed():
changes.add('objects')
return changes
class PersistentObjectMixin(object):
"""
Mixin class for Persistent objects.
This adds the fields that we use in common for all persistent objects.
"""
FIELDS = {
'id': {
'schema': {
'type': 'string',
'format': 'uuid',
},
'read_only': True
},
'created_at': {
'schema': {
'type': 'string',
'format': 'date-time',
},
'read_only': True
},
'updated_at': {
'schema': {
'type': ['string', 'null'],
'format': 'date-time',
},
'read_only': True
},
'version': {
'schema': {
'type': 'integer',
},
'read_only': True
}
}
class SoftDeleteObjectMixin(object):
"""
Mixin class for Soft-Deleted objects.
This adds the fields that we use in common for all soft-deleted objects.
"""
FIELDS = {
'deleted': {
'schema': {
'type': ['string', 'integer'],
},
'read_only': True
},
'deleted_at': {
'schema': {
'type': ['string', 'null'],
'format': 'date-time',
},
'read_only': True
}
}
class PagedListObjectMixin(object):
"""
Mixin class for List objects.
This adds fields that would populate API metadata for collections.
"""
FIELDS = {
'total_count': {
'schema': {
'type': ['integer'],
}
}
}