def validate(self):
if len(self.args) < 2:
ExceptionCollector.appendException(
ValueError(_('Illegal arguments for function "{0}". Expected '
'arguments: "node-template-name", "req-or-cap"'
'(optional), "property name"'
).format(GET_ATTRIBUTE)))
return
elif len(self.args) == 2:
self._find_node_template_containing_attribute()
else:
node_tpl = self._find_node_template(self.args[0])
if node_tpl is None:
return
index = 2
attrs = node_tpl.type_definition.get_attributes_def()
found = [attrs[self.args[1]]] if self.args[1] in attrs else []
if found:
attr = found[0]
else:
index = 3
# then check the req or caps
attr = self._find_req_or_cap_attribute(self.args[1],
self.args[2])
value_type = attr.schema['type']
if len(self.args) > index:
for elem in self.args[index:]:
if value_type == "list":
if not isinstance(elem, int):
ExceptionCollector.appendException(
ValueError(_('Illegal arguments for function'
' "{0}". "{1}" Expected positive'
' integer argument'
).format(GET_ATTRIBUTE, elem)))
value_type = attr.schema['entry_schema']['type']
elif value_type == "map":
value_type = attr.schema['entry_schema']['type']
elif value_type in Schema.PROPERTY_TYPES:
ExceptionCollector.appendException(
ValueError(_('Illegal arguments for function'
' "{0}". Unexpected attribute/'
'index value "{1}"'
).format(GET_ATTRIBUTE, elem)))
return
else: # It is a complex type
data_type = DataType(value_type)
props = data_type.get_all_properties()
found = [props[elem]] if elem in props else []
if found:
prop = found[0]
value_type = prop.schema['type']
else:
ExceptionCollector.appendException(
KeyError(_('Illegal arguments for function'
' "{0}". Attribute name "{1}" not'
' found in "{2}"'
).format(GET_ATTRIBUTE,
elem,
value_type)))
def validate(self):
if len(self.args) < 2:
ExceptionCollector.appendException(
ValueError(
_('Illegal arguments for function "{0}". Expected '
'arguments: "node-template-name", "req-or-cap"'
'(optional), "property name"').format(GET_ATTRIBUTE)))
return
elif len(self.args) == 2:
self._find_node_template_containing_attribute()
else:
node_tpl = self._find_node_template(self.args[0])
index = 2
attrs = node_tpl.type_definition.get_attributes_def()
found = [attrs[self.args[1]]] if self.args[1] in attrs else []
if found:
attr = found[0]
else:
index = 3
# then check the req or caps
attr = self._find_req_or_cap_attribute(self.args[1],
self.args[2])
value_type = attr.schema['type']
if len(self.args) > index:
for elem in self.args[index:]:
if value_type == "list":
if not isinstance(elem, int):
ExceptionCollector.appendException(
ValueError(
_('Illegal arguments for function'
' "{0}". "{1}" Expected positive'
' integer argument').format(
GET_ATTRIBUTE, elem)))
value_type = attr.schema['entry_schema']['type']
elif value_type == "map":
value_type = attr.schema['entry_schema']['type']
elif value_type in Schema.PROPERTY_TYPES:
ExceptionCollector.appendException(
ValueError(
_('Illegal arguments for function'
' "{0}". Unexpected attribute/'
'index value "{1}"').format(
GET_ATTRIBUTE, elem)))
return
else: # It is a complex type
data_type = DataType(value_type)
props = data_type.get_all_properties()
found = [props[elem]] if elem in props else []
if found:
prop = found[0]
value_type = prop.schema['type']
else:
ExceptionCollector.appendException(
KeyError(
_('Illegal arguments for function'
' "{0}". Attribute name "{1}" not'
' found in "{2}"').format(
GET_ATTRIBUTE, elem, value_type)))
def __init__(self,
datatypename,
value_dict,
custom_def=None,
prop_name=None):
self.custom_def = custom_def
self.datatype = DataType(datatypename, custom_def)
self.schema = self.datatype.get_all_properties()
self.value = value_dict
self.property_name = prop_name
def __init__(self, datatypename, value_dict, custom_def=None,
prop_name=None):
self.custom_def = custom_def
self.datatype = DataType(datatypename, custom_def)
self.schema = self.datatype.get_all_properties()
self.value = value_dict
self.property_name = prop_name
def __init__(self, datatypename, value, custom_def=None, prop_name=None):
self.custom_def = custom_def
self.type = datatypename
if datatypename in Schema.PROPERTY_TYPES:
self.datatype = ValueDataType(datatypename)
self.schema = {}
else:
self.datatype = DataType(datatypename, custom_def)
if self.datatype.value_type:
# "type" and "properties" are mutually exclusive
self.schema = {}
else:
self.schema = self.datatype.get_properties_def()
self.value = value
self.property_name = prop_name
self._properties = None
def test_built_in_datatype_without_properties(self):
value_snippet = '''
2
'''
value = yamlparser.simple_parse(value_snippet)
datatype = DataType('PortDef')
self.assertEqual('integer', datatype.value_type)
data = DataEntity('PortDef', value)
self.assertIsNotNone(data.validate())
class DataEntity(object):
'''A complex data value entity.'''
def __init__(self,
datatypename,
value_dict,
custom_def=None,
prop_name=None):
self.custom_def = custom_def
self.datatype = DataType(datatypename, custom_def)
self.schema = self.datatype.get_all_properties()
self.value = value_dict
self.property_name = prop_name
def validate(self):
'''Validate the value by the definition of the datatype.'''
# A datatype can not have both 'type' and 'properties' definitions.
# If the datatype has 'type' definition
if self.datatype.value_type:
self.value = DataEntity.validate_datatype(self.datatype.value_type,
self.value, None,
self.custom_def)
schema = Schema(self.property_name, self.datatype.defs)
for constraint in schema.constraints:
constraint.validate(self.value)
# If the datatype has 'properties' definition
else:
if not isinstance(self.value, dict):
ExceptionCollector.appendException(
TypeMismatchError(what=self.value,
type=self.datatype.type))
allowed_props = []
required_props = []
default_props = {}
if self.schema:
allowed_props = self.schema.keys()
for name, prop_def in self.schema.items():
if prop_def.required:
required_props.append(name)
if prop_def.default:
default_props[name] = prop_def.default
# check allowed field
for value_key in list(self.value.keys()):
if value_key not in allowed_props:
ExceptionCollector.appendException(
UnknownFieldError(what=(_('Data value of type "%s"') %
self.datatype.type),
field=value_key))
# check default field
for def_key, def_value in list(default_props.items()):
if def_key not in list(self.value.keys()):
self.value[def_key] = def_value
# check missing field
missingprop = []
for req_key in required_props:
if req_key not in list(self.value.keys()):
missingprop.append(req_key)
if missingprop:
ExceptionCollector.appendException(
MissingRequiredFieldError(
what=(_('Data value of type "%s"') %
self.datatype.type),
required=missingprop))
# check every field
for name, value in list(self.value.items()):
schema_name = self._find_schema(name)
if not schema_name:
continue
prop_schema = Schema(name, schema_name)
# check if field value meets type defined
DataEntity.validate_datatype(prop_schema.type, value,
prop_schema.entry_schema,
self.custom_def)
# check if field value meets constraints defined
if prop_schema.constraints:
for constraint in prop_schema.constraints:
if isinstance(value, list):
for val in value:
constraint.validate(val)
else:
constraint.validate(value)
return self.value
def _find_schema(self, name):
if self.schema and name in self.schema.keys():
return self.schema[name].schema
@staticmethod
def validate_datatype(type,
value,
entry_schema=None,
custom_def=None,
prop_name=None):
'''Validate value with given type.
If type is list or map, validate its entry by entry_schema(if defined)
If type is a user-defined complex datatype, custom_def is required.
'''
from toscaparser.functions import is_function
if is_function(value):
return value
if type == Schema.STRING:
return validateutils.validate_string(value)
elif type == Schema.INTEGER:
return validateutils.validate_integer(value)
elif type == Schema.FLOAT:
return validateutils.validate_float(value)
elif type == Schema.NUMBER:
return validateutils.validate_numeric(value)
elif type == Schema.BOOLEAN:
return validateutils.validate_boolean(value)
elif type == Schema.RANGE:
return validateutils.validate_range(value)
elif type == Schema.TIMESTAMP:
validateutils.validate_timestamp(value)
return value
elif type == Schema.LIST:
validateutils.validate_list(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.SCALAR_UNIT_SIZE:
return ScalarUnit_Size(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_FREQUENCY:
return ScalarUnit_Frequency(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_TIME:
return ScalarUnit_Time(value).validate_scalar_unit()
elif type == Schema.VERSION:
return validateutils.TOSCAVersionProperty(value).get_version()
elif type == Schema.MAP:
validateutils.validate_map(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.PORTSPEC:
# TODO(TBD) bug 1567063, validate source & target as PortDef type
# as complex types not just as integers
PortSpec.validate_additional_req(value, prop_name, custom_def)
else:
data = DataEntity(type, value, custom_def)
return data.validate()
@staticmethod
def validate_entry(value, entry_schema, custom_def=None):
'''Validate entries for map and list.'''
schema = Schema(None, entry_schema)
valuelist = value
if isinstance(value, dict):
valuelist = list(value.values())
for v in valuelist:
DataEntity.validate_datatype(schema.type, v, schema.entry_schema,
custom_def)
if schema.constraints:
for constraint in schema.constraints:
constraint.validate(v)
return value
class DataEntity(object):
'''A complex data value entity.'''
def __init__(self, datatypename, value_dict, custom_def=None,
prop_name=None):
self.custom_def = custom_def
self.datatype = DataType(datatypename, custom_def)
self.schema = self.datatype.get_all_properties()
self.value = value_dict
self.property_name = prop_name
def validate(self):
'''Validate the value by the definition of the datatype.'''
# A datatype can not have both 'type' and 'properties' definitions.
# If the datatype has 'type' definition
if self.datatype.value_type:
self.value = DataEntity.validate_datatype(self.datatype.value_type,
self.value,
None,
self.custom_def)
schema = Schema(self.property_name, self.datatype.defs)
for constraint in schema.constraints:
constraint.validate(self.value)
# If the datatype has 'properties' definition
else:
if not isinstance(self.value, dict):
ExceptionCollector.appendException(
TypeMismatchError(what=self.value,
type=self.datatype.type))
allowed_props = []
required_props = []
default_props = {}
if self.schema:
allowed_props = self.schema.keys()
for name, prop_def in self.schema.items():
if prop_def.required:
required_props.append(name)
if prop_def.default:
default_props[name] = prop_def.default
# check allowed field
for value_key in list(self.value.keys()):
if value_key not in allowed_props:
ExceptionCollector.appendException(
UnknownFieldError(what=(_('Data value of type "%s"')
% self.datatype.type),
field=value_key))
# check default field
for def_key, def_value in list(default_props.items()):
if def_key not in list(self.value.keys()):
self.value[def_key] = def_value
# check missing field
missingprop = []
for req_key in required_props:
if req_key not in list(self.value.keys()):
missingprop.append(req_key)
if missingprop:
ExceptionCollector.appendException(
MissingRequiredFieldError(
what=(_('Data value of type "%s"')
% self.datatype.type), required=missingprop))
# check every field
for name, value in list(self.value.items()):
schema_name = self._find_schema(name)
if not schema_name:
continue
prop_schema = Schema(name, schema_name)
# check if field value meets type defined
DataEntity.validate_datatype(prop_schema.type, value,
prop_schema.entry_schema,
self.custom_def)
# check if field value meets constraints defined
if prop_schema.constraints:
for constraint in prop_schema.constraints:
if isinstance(value, list):
for val in value:
constraint.validate(val)
else:
constraint.validate(value)
return self.value
def _find_schema(self, name):
if self.schema and name in self.schema.keys():
return self.schema[name].schema
@staticmethod
def validate_datatype(type, value, entry_schema=None, custom_def=None,
prop_name=None):
'''Validate value with given type.
If type is list or map, validate its entry by entry_schema(if defined)
If type is a user-defined complex datatype, custom_def is required.
'''
from toscaparser.functions import is_function
if is_function(value):
return value
if type == Schema.STRING:
return validateutils.validate_string(value)
elif type == Schema.INTEGER:
return validateutils.validate_integer(value)
elif type == Schema.FLOAT:
return validateutils.validate_float(value)
elif type == Schema.NUMBER:
return validateutils.validate_numeric(value)
elif type == Schema.BOOLEAN:
return validateutils.validate_boolean(value)
elif type == Schema.RANGE:
return validateutils.validate_range(value)
elif type == Schema.TIMESTAMP:
validateutils.validate_timestamp(value)
return value
elif type == Schema.LIST:
validateutils.validate_list(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.SCALAR_UNIT_SIZE:
return ScalarUnit_Size(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_FREQUENCY:
return ScalarUnit_Frequency(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_TIME:
return ScalarUnit_Time(value).validate_scalar_unit()
elif type == Schema.VERSION:
return validateutils.TOSCAVersionProperty(value).get_version()
elif type == Schema.MAP:
validateutils.validate_map(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.PORTSPEC:
# TODO(TBD) bug 1567063, validate source & target as PortDef type
# as complex types not just as integers
PortSpec.validate_additional_req(value, prop_name, custom_def)
else:
data = DataEntity(type, value, custom_def)
return data.validate()
@staticmethod
def validate_entry(value, entry_schema, custom_def=None):
'''Validate entries for map and list.'''
schema = Schema(None, entry_schema)
valuelist = value
if isinstance(value, dict):
valuelist = list(value.values())
for v in valuelist:
DataEntity.validate_datatype(schema.type, v, schema.entry_schema,
custom_def)
if schema.constraints:
for constraint in schema.constraints:
constraint.validate(v)
return value
class DataEntity(object):
'''A complex data value entity.'''
def __init__(self, datatypename, value_dict, custom_def=None):
self.custom_def = custom_def
self.datatype = DataType(datatypename, custom_def)
self.schema = self.datatype.get_all_properties()
self.value = value_dict
def validate(self):
'''Validate the value by the definition of the datatype.'''
# A datatype can not have both 'type' and 'properties' definitions.
# If the datatype has 'type' definition
if self.datatype.value_type:
self.value = DataEntity.validate_datatype(self.datatype.value_type,
self.value, None,
self.custom_def)
schema = Schema(None, self.datatype.defs)
for constraint in schema.constraints:
constraint.validate(self.value)
# If the datatype has 'properties' definition
else:
if not isinstance(self.value, dict):
ExceptionCollector.appendException(
TypeMismatchError(what=self.value,
type=self.datatype.type))
allowed_props = []
required_props = []
default_props = {}
if self.schema:
allowed_props = self.schema.keys()
for name, prop_def in self.schema.items():
if prop_def.required:
required_props.append(name)
if prop_def.default:
default_props[name] = prop_def.default
# check allowed field
for value_key in list(self.value.keys()):
if value_key not in allowed_props:
ExceptionCollector.appendException(
UnknownFieldError(what=(_('Data value of type "%s"') %
self.datatype.type),
field=value_key))
# check default field
for def_key, def_value in list(default_props.items()):
if def_key not in list(self.value.keys()):
self.value[def_key] = def_value
# check missing field
missingprop = []
for req_key in required_props:
if req_key not in list(self.value.keys()):
missingprop.append(req_key)
if missingprop:
ExceptionCollector.appendException(
MissingRequiredFieldError(
what=(_('Data value of type "%s"') %
self.datatype.type),
required=missingprop))
# check every field
for name, value in list(self.value.items()):
prop_schema = Schema(name, self._find_schema(name))
# check if field value meets type defined
if not self._is_function(value):
DataEntity.validate_datatype(prop_schema.type, value,
prop_schema.entry_schema,
self.custom_def)
# check if field value meets constraints defined
if prop_schema.constraints:
for constraint in prop_schema.constraints:
constraint.validate(value)
return self.value
def _is_function(self, value):
'''Determine if the value is a TOSCA function.
FIXME: Reimplemented here as the functions.is_function would cause a
cyclic import issue.
'''
if isinstance(value, dict) and len(value) == 1:
func_name = list(value.keys())[0]
return func_name in ['get_property', 'get_input', 'get_attribute']
else:
return False
def _find_schema(self, name):
if self.schema and name in self.schema.keys():
return self.schema[name].schema
@staticmethod
def validate_datatype(type, value, entry_schema=None, custom_def=None):
'''Validate value with given type.
If type is list or map, validate its entry by entry_schema(if defined)
If type is a user-defined complex datatype, custom_def is required.
'''
if type == Schema.STRING:
return validateutils.validate_string(value)
elif type == Schema.INTEGER:
return validateutils.validate_integer(value)
elif type == Schema.FLOAT:
return validateutils.validate_float(value)
elif type == Schema.NUMBER:
return validateutils.validate_number(value)
elif type == Schema.BOOLEAN:
return validateutils.validate_boolean(value)
elif type == Schema.TIMESTAMP:
validateutils.validate_timestamp(value)
return value
elif type == Schema.LIST:
validateutils.validate_list(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.SCALAR_UNIT_SIZE:
return ScalarUnit_Size(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_FREQUENCY:
return ScalarUnit_Frequency(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_TIME:
return ScalarUnit_Time(value).validate_scalar_unit()
elif type == Schema.VERSION:
return validateutils.TOSCAVersionProperty(value).get_version()
elif type == Schema.MAP:
validateutils.validate_map(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
else:
data = DataEntity(type, value, custom_def)
return data.validate()
@staticmethod
def validate_entry(value, entry_schema, custom_def=None):
'''Validate entries for map and list.'''
schema = Schema(None, entry_schema)
valuelist = value
if isinstance(value, dict):
valuelist = list(value.values())
for v in valuelist:
DataEntity.validate_datatype(schema.type, v, schema.entry_schema,
custom_def)
if schema.constraints:
for constraint in schema.constraints:
constraint.validate(v)
return value
class DataEntity(object):
"""A complex data value entity."""
def __init__(self, datatypename, value, custom_def=None, prop_name=None):
self.custom_def = custom_def
self.type = datatypename
if datatypename in Schema.PROPERTY_TYPES:
self.datatype = ValueDataType(datatypename)
self.schema = {}
else:
self.datatype = DataType(datatypename, custom_def)
if self.datatype.value_type:
# "type" and "properties" are mutually exclusive
self.schema = {}
else:
self.schema = self.datatype.get_properties_def()
self.value = value
self.property_name = prop_name
self._properties = None
@property
def properties(self):
if self._properties is None:
from toscaparser.properties import Property
values = self.value or {}
self._properties = {
name: Property(
name, values.get(name, aDef.default), aDef.schema, self.custom_def
)
for name, aDef in self.schema.items()
}
return self._properties
def validate(self):
"""Validate the value by the definition of the datatype."""
# A datatype can not have both 'type' and 'properties' definitions.
# If the datatype has 'type' definition:
if self.datatype.value_type:
self.value = DataEntity.validate_datatype(
self.datatype.value_type, self.value, None, self.custom_def, None, self
)
schema = Schema(self.property_name, self.datatype.defs)
for constraint in schema.constraints:
constraint.validate(self.value)
# If the datatype has 'properties' definition:
else:
if not isinstance(self.value, dict):
ExceptionCollector.appendException(
TypeMismatchError(what=self.value, type=self.datatype.type)
)
allowed_props = []
required_props = []
default_props = {}
if self.schema:
allowed_props = self.schema.keys()
for name, prop_def in self.schema.items():
if prop_def.required:
required_props.append(name)
if prop_def.default:
default_props[name] = prop_def.default
# check allowed field
for value_key in list(self.value.keys()):
if value_key not in allowed_props:
ExceptionCollector.appendException(
UnknownFieldError(
what=(_('Data value of type "%s"') % self.datatype.type),
field=value_key,
)
)
# check default field
for def_key, def_value in list(default_props.items()):
if def_key not in list(self.value.keys()):
self.value[def_key] = def_value
# check missing field
missingprop = []
for req_key in required_props:
if req_key not in list(self.value.keys()):
missingprop.append(req_key)
if missingprop:
ExceptionCollector.appendException(
MissingRequiredFieldError(
what=(_('Data value of type "%s"') % self.datatype.type),
required=missingprop,
)
)
# check every field
for name, value in list(self.value.items()):
schema_name = self._find_schema(name)
if not schema_name:
continue
prop_schema = Schema(name, schema_name)
# check if field value meets type defined
DataEntity.validate_datatype(
prop_schema.type, value, prop_schema.entry_schema, self.custom_def
)
# check if field value meets constraints defined
if prop_schema.constraints:
for constraint in prop_schema.constraints:
if isinstance(value, list):
for val in value:
constraint.validate(val)
else:
constraint.validate(value)
return self.value
def _find_schema(self, name):
if self.schema and name in self.schema.keys():
return self.schema[name].schema
@staticmethod
def validate_datatype(
type, value, entry_schema=None, custom_def=None, prop_name=None, self=None
):
"""Validate value with given type.
If type is list or map, validate its entry by entry_schema(if defined)
If type is a user-defined complex datatype, custom_def is required.
"""
from toscaparser.functions import is_function
if is_function(value):
return value
if type == Schema.ANY:
return value
if type == Schema.STRING:
return validateutils.validate_string(value)
elif type == Schema.INTEGER:
return validateutils.validate_integer(value)
elif type == Schema.FLOAT:
return validateutils.validate_float(value)
elif type == Schema.NUMBER:
return validateutils.validate_numeric(value)
elif type == Schema.BOOLEAN:
return validateutils.validate_boolean(value)
elif type == Schema.RANGE:
return validateutils.validate_range(value)
elif type == Schema.TIMESTAMP:
validateutils.validate_timestamp(value)
return value
elif type == Schema.LIST:
validateutils.validate_list(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.SCALAR_UNIT_SIZE:
return ScalarUnit_Size(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_FREQUENCY:
return ScalarUnit_Frequency(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_TIME:
return ScalarUnit_Time(value).validate_scalar_unit()
elif type == Schema.VERSION:
return validateutils.TOSCAVersionProperty(value).get_version()
elif type == Schema.MAP:
validateutils.validate_map(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.PORTSPEC:
ps = PortSpec(value)
ps.validate()
return ps
elif type == Schema.PORTDEF:
return validateutils.validate_portdef(value, prop_name)
elif not self:
return DataEntity(type, value, custom_def).validate()
else: # avoid infinite recursion
return value
@staticmethod
def validate_entry(value, entry_schema, custom_def=None):
"""Validate entries for map and list."""
schema = Schema(None, entry_schema)
valuelist = value
if isinstance(value, dict):
valuelist = list(value.values())
for v in valuelist:
DataEntity.validate_datatype(
schema.type, v, schema.entry_schema, custom_def
)
if schema.constraints:
for constraint in schema.constraints:
constraint.validate(v)
return value
class DataEntity(object):
'''A complex data value entity.'''
def __init__(self, datatypename, value_dict, custom_def=None):
self.custom_def = custom_def
self.datatype = DataType(datatypename, custom_def)
self.schema = self.datatype.get_all_properties()
self.value = value_dict
def validate(self):
'''Validate the value by the definition of the datatype.'''
# A datatype can not have both 'type' and 'properties' definitions.
# If the datatype has 'type' definition
if self.datatype.value_type:
self.value = DataEntity.validate_datatype(self.datatype.value_type,
self.value,
None,
self.custom_def)
schema = Schema(None, self.datatype.defs)
for constraint in schema.constraints:
constraint.validate(self.value)
# If the datatype has 'properties' definition
else:
if not isinstance(self.value, dict):
ExceptionCollector.appendException(
TypeMismatchError(what=self.value,
type=self.datatype.type))
allowed_props = []
required_props = []
default_props = {}
if self.schema:
allowed_props = self.schema.keys()
for name, prop_def in self.schema.items():
if prop_def.required:
required_props.append(name)
if prop_def.default:
default_props[name] = prop_def.default
# check allowed field
for value_key in list(self.value.keys()):
if value_key not in allowed_props:
ExceptionCollector.appendException(
UnknownFieldError(what=(_('Data value of type "%s"')
% self.datatype.type),
field=value_key))
# check default field
for def_key, def_value in list(default_props.items()):
if def_key not in list(self.value.keys()):
self.value[def_key] = def_value
# check missing field
missingprop = []
for req_key in required_props:
if req_key not in list(self.value.keys()):
missingprop.append(req_key)
if missingprop:
ExceptionCollector.appendException(
MissingRequiredFieldError(
what=(_('Data value of type "%s"')
% self.datatype.type), required=missingprop))
# check every field
for name, value in list(self.value.items()):
prop_schema = Schema(name, self._find_schema(name))
# check if field value meets type defined
if not self._is_function(value):
DataEntity.validate_datatype(prop_schema.type, value,
prop_schema.entry_schema,
self.custom_def)
# check if field value meets constraints defined
if prop_schema.constraints:
for constraint in prop_schema.constraints:
constraint.validate(value)
return self.value
def _is_function(self, value):
'''Determine if the value is a TOSCA function.
FIXME: Reimplemented here as the functions.is_function would cause a
cyclic import issue.
'''
if isinstance(value, dict) and len(value) == 1:
func_name = list(value.keys())[0]
return func_name in ['get_property', 'get_input', 'get_attribute']
else:
return False
def _find_schema(self, name):
if self.schema and name in self.schema.keys():
return self.schema[name].schema
@staticmethod
def validate_datatype(type, value, entry_schema=None, custom_def=None):
'''Validate value with given type.
If type is list or map, validate its entry by entry_schema(if defined)
If type is a user-defined complex datatype, custom_def is required.
'''
if type == Schema.STRING:
return validateutils.validate_string(value)
elif type == Schema.INTEGER:
return validateutils.validate_integer(value)
elif type == Schema.FLOAT:
return validateutils.validate_float(value)
elif type == Schema.NUMBER:
return validateutils.validate_number(value)
elif type == Schema.BOOLEAN:
return validateutils.validate_boolean(value)
elif type == Schema.TIMESTAMP:
validateutils.validate_timestamp(value)
return value
elif type == Schema.LIST:
validateutils.validate_list(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
elif type == Schema.SCALAR_UNIT_SIZE:
return ScalarUnit_Size(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_FREQUENCY:
return ScalarUnit_Frequency(value).validate_scalar_unit()
elif type == Schema.SCALAR_UNIT_TIME:
return ScalarUnit_Time(value).validate_scalar_unit()
elif type == Schema.VERSION:
return validateutils.TOSCAVersionProperty(value).get_version()
elif type == Schema.MAP:
validateutils.validate_map(value)
if entry_schema:
DataEntity.validate_entry(value, entry_schema, custom_def)
return value
else:
data = DataEntity(type, value, custom_def)
return data.validate()
@staticmethod
def validate_entry(value, entry_schema, custom_def=None):
'''Validate entries for map and list.'''
schema = Schema(None, entry_schema)
valuelist = value
if isinstance(value, dict):
valuelist = list(value.values())
for v in valuelist:
DataEntity.validate_datatype(schema.type, v, schema.entry_schema,
custom_def)
if schema.constraints:
for constraint in schema.constraints:
constraint.validate(v)
return value
