440 lines
16 KiB
Python
440 lines
16 KiB
Python
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import collections
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from heat.common import exception
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from heat.engine import parameters
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from heat.engine import support
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from heat.engine import constraints as constr
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SCHEMA_KEYS = (
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REQUIRED, IMPLEMENTED, DEFAULT, TYPE, SCHEMA,
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ALLOWED_PATTERN, MIN_VALUE, MAX_VALUE, ALLOWED_VALUES,
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MIN_LENGTH, MAX_LENGTH, DESCRIPTION, UPDATE_ALLOWED,
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) = (
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'Required', 'Implemented', 'Default', 'Type', 'Schema',
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'AllowedPattern', 'MinValue', 'MaxValue', 'AllowedValues',
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'MinLength', 'MaxLength', 'Description', 'UpdateAllowed',
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)
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class Schema(constr.Schema):
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"""
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Schema class for validating resource properties.
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This class is used for defining schema constraints for resource properties.
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It inherits generic validation features from the base Schema class and add
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processing that is specific to resource properties.
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"""
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KEYS = (
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TYPE, DESCRIPTION, DEFAULT, SCHEMA, REQUIRED, CONSTRAINTS,
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UPDATE_ALLOWED
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) = (
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'type', 'description', 'default', 'schema', 'required', 'constraints',
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'update_allowed'
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)
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def __init__(self, data_type, description=None,
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default=None, schema=None,
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required=False, constraints=[],
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implemented=True,
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update_allowed=False,
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support_status=support.SupportStatus()):
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super(Schema, self).__init__(data_type, description, default,
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schema, required, constraints)
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self.implemented = implemented
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self.update_allowed = update_allowed
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self.support_status = support_status
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@classmethod
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def from_legacy(cls, schema_dict):
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"""
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Return a Property Schema object from a legacy schema dictionary.
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"""
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# Check for fully-fledged Schema objects
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if isinstance(schema_dict, cls):
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return schema_dict
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unknown = [k for k in schema_dict if k not in SCHEMA_KEYS]
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if unknown:
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raise constr.InvalidSchemaError(_('Unknown key(s) %s') % unknown)
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def constraints():
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def get_num(key):
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val = schema_dict.get(key)
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if val is not None:
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val = Schema.str_to_num(val)
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return val
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if MIN_VALUE in schema_dict or MAX_VALUE in schema_dict:
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yield constr.Range(get_num(MIN_VALUE), get_num(MAX_VALUE))
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if MIN_LENGTH in schema_dict or MAX_LENGTH in schema_dict:
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yield constr.Length(get_num(MIN_LENGTH), get_num(MAX_LENGTH))
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if ALLOWED_VALUES in schema_dict:
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yield constr.AllowedValues(schema_dict[ALLOWED_VALUES])
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if ALLOWED_PATTERN in schema_dict:
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yield constr.AllowedPattern(schema_dict[ALLOWED_PATTERN])
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try:
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data_type = schema_dict[TYPE]
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except KeyError:
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raise constr.InvalidSchemaError(_('No %s specified') % TYPE)
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if SCHEMA in schema_dict:
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if data_type == Schema.LIST:
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ss = cls.from_legacy(schema_dict[SCHEMA])
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elif data_type == Schema.MAP:
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schema_dicts = schema_dict[SCHEMA].items()
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ss = dict((n, cls.from_legacy(sd)) for n, sd in schema_dicts)
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else:
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raise constr.InvalidSchemaError(_('%(schema)s supplied for '
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' %(type)s %(data)s') %
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dict(schema=SCHEMA,
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type=TYPE,
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data=data_type))
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else:
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ss = None
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return cls(data_type,
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description=schema_dict.get(DESCRIPTION),
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default=schema_dict.get(DEFAULT),
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schema=ss,
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required=schema_dict.get(REQUIRED, False),
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constraints=list(constraints()),
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implemented=schema_dict.get(IMPLEMENTED, True),
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update_allowed=schema_dict.get(UPDATE_ALLOWED, False))
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@classmethod
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def from_parameter(cls, param):
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"""
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Return a Property Schema corresponding to a Parameter Schema.
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Convert a parameter schema from a provider template to a property
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Schema for the corresponding resource facade.
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"""
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# map param types to property types
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param_type_map = {
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param.STRING: cls.STRING,
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param.NUMBER: cls.NUMBER,
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param.LIST: cls.LIST,
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param.MAP: cls.MAP
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}
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# make update_allowed true by default on TemplateResources
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# as the template should deal with this.
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return cls(data_type=param_type_map.get(param.type, cls.MAP),
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description=param.description,
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required=param.required,
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constraints=param.constraints,
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update_allowed=True)
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def __getitem__(self, key):
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if key == self.UPDATE_ALLOWED:
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return self.update_allowed
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else:
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return super(Schema, self).__getitem__(key)
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raise KeyError(key)
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def schemata(schema_dicts):
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"""
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Return dictionary of Schema objects for given dictionary of schemata.
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The input schemata are converted from the legacy (dictionary-based)
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format to Schema objects where necessary.
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"""
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return dict((n, Schema.from_legacy(s)) for n, s in schema_dicts.items())
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class Property(object):
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def __init__(self, schema, name=None, context=None):
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self.schema = Schema.from_legacy(schema)
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self.name = name
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self.context = context
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def required(self):
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return self.schema.required
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def implemented(self):
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return self.schema.implemented
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def update_allowed(self):
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return self.schema.update_allowed
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def has_default(self):
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return self.schema.default is not None
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def default(self):
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return self.schema.default
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def type(self):
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return self.schema.type
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def support_status(self):
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return self.schema.support_status
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def _validate_integer(self, value):
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if value is None:
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value = self.has_default() and self.default() or 0
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try:
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value = int(value)
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except ValueError:
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raise TypeError(_("Value '%s' is not an integer") % value)
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else:
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return value
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def _validate_number(self, value):
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if value is None:
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value = self.has_default() and self.default() or 0
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return Schema.str_to_num(value)
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def _validate_string(self, value):
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if value is None:
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value = self.has_default() and self.default() or ''
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if not isinstance(value, basestring):
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raise ValueError(_('Value must be a string'))
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return value
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def _validate_children(self, child_values, keys=None):
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if self.schema.schema is not None:
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if keys is None:
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keys = list(self.schema.schema)
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schemata = dict((k, self.schema.schema[k]) for k in keys)
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properties = Properties(schemata, dict(child_values),
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parent_name=self.name,
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context=self.context)
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properties.validate()
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return ((k, properties[k]) for k in keys)
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else:
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return child_values
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def _validate_map(self, value):
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if value is None:
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value = self.has_default() and self.default() or {}
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if not isinstance(value, collections.Mapping):
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raise TypeError(_('"%s" is not a map') % value)
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return dict(self._validate_children(value.iteritems()))
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def _validate_list(self, value):
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if value is None:
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value = self.has_default() and self.default() or []
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if (not isinstance(value, collections.Sequence) or
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isinstance(value, basestring)):
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raise TypeError(_('"%s" is not a list') % repr(value))
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return [v[1] for v in self._validate_children(enumerate(value),
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range(len(value)))]
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def _validate_bool(self, value):
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if value is None:
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value = self.has_default() and self.default() or False
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if isinstance(value, bool):
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return value
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normalised = value.lower()
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if normalised not in ['true', 'false']:
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raise ValueError(_('"%s" is not a valid boolean') % normalised)
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return normalised == 'true'
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def _validate_data_type(self, value):
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t = self.type()
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if t == Schema.STRING:
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return self._validate_string(value)
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elif t == Schema.INTEGER:
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return self._validate_integer(value)
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elif t == Schema.NUMBER:
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return self._validate_number(value)
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elif t == Schema.MAP:
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return self._validate_map(value)
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elif t == Schema.LIST:
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return self._validate_list(value)
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elif t == Schema.BOOLEAN:
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return self._validate_bool(value)
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def validate_data(self, value):
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value = self._validate_data_type(value)
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self.schema.validate_constraints(value, self.context)
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return value
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class Properties(collections.Mapping):
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def __init__(self, schema, data, resolver=lambda d: d, parent_name=None,
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context=None):
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self.props = dict((k, Property(s, k, context))
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for k, s in schema.items())
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self.resolve = resolver
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self.data = data
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if parent_name is None:
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self.error_prefix = ''
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else:
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self.error_prefix = '%s: ' % parent_name
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self.context = context
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@staticmethod
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def schema_from_params(params_snippet):
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"""
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Convert a template snippet that defines parameters
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into a properties schema
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:param params_snippet: parameter definition from a template
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:returns: an equivalent properties schema for the specified params
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"""
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if params_snippet:
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return dict((n, Schema.from_parameter(p)) for n, p
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in params_snippet.items())
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return {}
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def validate(self, with_value=True):
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for (key, prop) in self.props.items():
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if with_value:
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try:
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self[key]
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except ValueError as e:
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msg = _("Property error : %s") % str(e)
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raise exception.StackValidationFailed(message=msg)
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# are there unimplemented Properties
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if not prop.implemented() and key in self.data:
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msg = _("Property %s not implemented yet") % key
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raise exception.StackValidationFailed(message=msg)
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for key in self.data:
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if key not in self.props:
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msg = _("Unknown Property %s") % key
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raise exception.StackValidationFailed(message=msg)
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def __getitem__(self, key):
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if key not in self:
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raise KeyError(_('%(prefix)sInvalid Property %(key)s') %
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{'prefix': self.error_prefix, 'key': key})
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prop = self.props[key]
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if key in self.data:
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try:
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value = self.resolve(self.data[key])
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return prop.validate_data(value)
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# the resolver function could raise any number of exceptions,
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# so handle this generically
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except Exception as e:
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raise ValueError('%s%s %s' % (self.error_prefix, key, str(e)))
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elif prop.has_default():
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return prop.default()
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elif prop.required():
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raise ValueError(_('%(prefix)sProperty %(key)s not assigned') %
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{'prefix': self.error_prefix, 'key': key})
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def __len__(self):
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return len(self.props)
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def __contains__(self, key):
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return key in self.props
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def __iter__(self):
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return iter(self.props)
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@staticmethod
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def _param_def_from_prop(schema):
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"""
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Return a template parameter definition corresponding to a property.
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"""
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param_type_map = {
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schema.INTEGER: parameters.Schema.NUMBER,
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schema.STRING: parameters.Schema.STRING,
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schema.NUMBER: parameters.Schema.NUMBER,
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schema.BOOLEAN: parameters.Schema.STRING,
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schema.MAP: parameters.Schema.MAP,
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schema.LIST: parameters.Schema.LIST,
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}
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def param_items():
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yield parameters.TYPE, param_type_map[schema.type]
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if schema.description is not None:
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yield parameters.DESCRIPTION, schema.description
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if schema.default is not None:
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yield parameters.DEFAULT, schema.default
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for constraint in schema.constraints:
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if isinstance(constraint, constr.Length):
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if constraint.min is not None:
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yield parameters.MIN_LENGTH, constraint.min
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if constraint.max is not None:
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yield parameters.MAX_LENGTH, constraint.max
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elif isinstance(constraint, constr.Range):
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if constraint.min is not None:
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yield parameters.MIN_VALUE, constraint.min
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if constraint.max is not None:
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yield parameters.MAX_VALUE, constraint.max
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elif isinstance(constraint, constr.AllowedValues):
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yield parameters.ALLOWED_VALUES, list(constraint.allowed)
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elif isinstance(constraint, constr.AllowedPattern):
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yield parameters.ALLOWED_PATTERN, constraint.pattern
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if schema.type == schema.BOOLEAN:
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yield parameters.ALLOWED_VALUES, ['True', 'true',
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'False', 'false']
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return dict(param_items())
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@staticmethod
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def _prop_def_from_prop(name, schema):
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"""
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Return a provider template property definition for a property.
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"""
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if schema.type == Schema.LIST:
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return {'Fn::Split': [',', {'Ref': name}]}
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else:
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return {'Ref': name}
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@classmethod
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def schema_to_parameters_and_properties(cls, schema):
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'''Generates properties with params resolved for a resource's
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properties_schema.
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:param schema: A resource type's properties_schema
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:returns: A tuple of params and properties dicts
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ex: input: {'foo': {'Type': 'String'}}
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output: {'foo': {'Type': 'String'}},
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{'foo': {'Ref': 'foo'}}
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ex: input: {'foo': {'Type': 'List'}, 'bar': {'Type': 'Map'}}
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output: {'foo': {'Type': 'CommaDelimitedList'}
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'bar': {'Type': 'Json'}},
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{'foo': {'Fn::Split': {'Ref': 'foo'}},
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'bar': {'Ref': 'bar'}}
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'''
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def param_prop_def_items(name, schema):
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param_def = cls._param_def_from_prop(schema)
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prop_def = cls._prop_def_from_prop(name, schema)
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return (name, param_def), (name, prop_def)
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param_prop_defs = [param_prop_def_items(n, s)
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for n, s in schemata(schema).iteritems()
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if s.implemented]
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param_items, prop_items = zip(*param_prop_defs)
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return dict(param_items), dict(prop_items)
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