def _validate_occurrences(self, occurrences):
DataEntity.validate_datatype('list', occurrences)
for value in occurrences:
DataEntity.validate_datatype('integer', value)
if len(occurrences) != 2 or not (0 <= occurrences[0] <= occurrences[1]) \
or occurrences[1] == 0:
raise InvalidPropertyValueError(what=(occurrences))
def _validate_occurrences(self, occurrences):
DataEntity.validate_datatype('list', occurrences)
for value in occurrences:
DataEntity.validate_datatype('integer', value)
if len(occurrences) != 2 or not (0 <= occurrences[0] <= occurrences[1]) \
or occurrences[1] == 0:
ExceptionCollector.appendException(
InvalidPropertyValueError(what=(occurrences)))
def _validate_occurrences(self, occurrences):
DataEntity.validate_datatype('list', occurrences)
for value in occurrences:
DataEntity.validate_datatype('integer', value)
if len(occurrences) != 2 or not (0 <= occurrences[0] <= occurrences[1]) \
or occurrences[1] == 0:
ExceptionCollector.appendException(
InvalidPropertyValueError(what=(occurrences)))
def _translate_inputs(self):
hot_inputs = []
log.info(_('Translating TOSCA input type to HOT input type.'))
for input in self.inputs:
hot_default = None
hot_input_type = TOSCA_TO_HOT_INPUT_TYPES[input.type]
if input.name in self.parsed_params:
hot_default = DataEntity.validate_datatype(
input.type, self.parsed_params[input.name])
elif input.default is not None:
hot_default = DataEntity.validate_datatype(
input.type, input.default)
else:
if self.deploy:
msg = _("Need to specify a value "
"for input {0}.").format(input.name)
log.error(msg)
raise Exception(msg)
if input.type == "scalar-unit.size":
# Assumption here is to use this scalar-unit.size for size of
# cinder volume in heat templates and will be in GB.
# should add logic to support other types if needed.
input_value = hot_default
hot_default = (ScalarUnit_Size(
hot_default).get_num_from_scalar_unit('GiB'))
if hot_default == 0:
msg = _('Unit value should be > 0.')
log.error(msg)
raise Exception(msg)
elif int(hot_default) < hot_default:
hot_default = int(hot_default) + 1
log.warning(
_("Cinder unit value should be in multiples"
" of GBs. So corrected %(input_value)s "
"to %(hot_default)s GB.") % {
'input_value': input_value,
'hot_default': hot_default
})
if input.type == 'version':
hot_default = TOSCAVersionProperty(hot_default).get_version()
hot_constraints = []
if input.constraints:
for constraint in input.constraints:
if hot_default:
constraint.validate(hot_default)
hc, hvalue = self._translate_constraints(
constraint.constraint_key, constraint.constraint_value)
hot_constraints.append({hc: hvalue})
hot_inputs.append(
HotParameter(name=input.name,
type=hot_input_type,
description=input.description,
default=hot_default,
constraints=hot_constraints))
return hot_inputs
def _translate_inputs(self):
hot_inputs = []
hot_default = None
for input in self.inputs:
hot_input_type = TOSCA_TO_HOT_INPUT_TYPES[input.type]
if input.name in self.parsed_params:
input_type = hot_input_type
if input.type == "scalar-unit.size":
input_type = input.type
DataEntity.validate_datatype(input_type,
self.parsed_params[input.name])
hot_default = self.parsed_params[input.name]
elif input.default is not None:
hot_default = input.default
else:
log.warning(_("Need to specify a value "
"for input {0}").format(input.name))
raise Exception(_("Need to specify a value "
"for input {0}").format(input.name))
if input.type == "scalar-unit.size":
# Assumption here is to use this scalar-unit.size for size of
# cinder volume in heat templates and will be in GB.
# should add logic to support other types if needed.
input_value = hot_default
hot_default = (ScalarUnit_Size(hot_default).
get_num_from_scalar_unit('GiB'))
if hot_default == 0:
log.warning(_('Unit value should be > 0.'))
raise Exception(_(
'Unit value should be > 0.'))
elif int(hot_default) < hot_default:
hot_default = int(hot_default) + 1
log.warning(_("Cinder unit value should be in multiples"
" of GBs. So corrected %(input_value)s "
"to %(hot_default)s GB.")
% {'input_value': input_value,
'hot_default': hot_default})
if input.type == 'version':
hot_default = TOSCAVersionProperty(hot_default).get_version()
hot_constraints = []
if input.constraints:
for constraint in input.constraints:
constraint.validate(
int(hot_default) if hot_input_type == "number"
else hot_default)
hc, hvalue = self._translate_constraints(
constraint.constraint_key, constraint.constraint_value)
hot_constraints.append({hc: hvalue})
hot_inputs.append(HotParameter(name=input.name,
type=hot_input_type,
description=input.description,
default=hot_default,
constraints=hot_constraints))
return hot_inputs
def _validate_value(self, value):
tosca = EntityType.TOSCA_DEF
datatype = None
if self.type in tosca:
datatype = tosca[self.type]
elif EntityType.DATATYPE_NETWORK_PREFIX + self.type in tosca:
datatype = tosca[EntityType.DATATYPE_NETWORK_PREFIX + self.type]
DataEntity.validate_datatype(self.type, value, None, datatype)
def _validate_value(self, value):
tosca = EntityType.TOSCA_DEF
datatype = None
if self.type in tosca:
datatype = tosca[self.type]
elif EntityType.DATATYPE_NETWORK_PREFIX + self.type in tosca:
datatype = tosca[EntityType.DATATYPE_NETWORK_PREFIX + self.type]
DataEntity.validate_datatype(self.type, value, None, datatype)
def result(self):
if self.tosca_tpl.parsed_params and self.input_name in self.tosca_tpl.parsed_params:
return DataEntity.validate_datatype(
self.tosca_tpl.tpl["inputs"][self.input_name]["type"], self.tosca_tpl.parsed_params[self.input_name]
)
input = [input_def for input_def in self.tosca_tpl.inputs if self.input_name == input_def.name][0]
return input.default
def validate(self):
'''Validate if not a reference property.'''
if not is_function(self.value):
if self.type == Schema.STRING:
self.value = str(self.value)
self.value = DataEntity.validate_datatype(self.type, self.value,
self.entry_schema,
self.custom_def)
self._validate_constraints()
def validate(self):
'''Validate if not a reference property.'''
if not is_function(self.value):
if self.type == Schema.STRING:
self.value = str(self.value)
self.value = DataEntity.validate_datatype(self.type, self.value,
self.entry_schema,
self.custom_def)
self._validate_constraints()
def _groups(self):
groups = []
member_nodes = None
for group_name, group_tpl in self._tpl_groups().items():
member_names = group_tpl.get('members')
if member_names is not None:
DataEntity.validate_datatype('list', member_names)
if len(member_names) < 1 or \
len(member_names) != len(set(member_names)):
exception.ExceptionCollector.appendException(
exception.InvalidGroupTargetException(
message=_('Member nodes "%s" should be >= 1 '
'and not repeated') % member_names))
else:
member_nodes = self._get_group_members(member_names)
group = Group(group_name, group_tpl, member_nodes,
self.custom_defs)
groups.append(group)
return groups
def result(self):
if self.tosca_tpl.parsed_params and \
self.input_name in self.tosca_tpl.parsed_params:
return DataEntity.validate_datatype(
self.tosca_tpl.tpl['inputs'][self.input_name]['type'],
self.tosca_tpl.parsed_params[self.input_name])
input = [input_def for input_def in self.tosca_tpl.inputs
if self.input_name == input_def.name][0]
return input.default
def result(self):
input = [input_def for input_def in self.tosca_tpl.inputs
if self.input_name == input_def.name][0]
if self.tosca_tpl.parsed_params and \
self.input_name in self.tosca_tpl.parsed_params:
if input and input.type == Schema.ENUM:
return DataEntity.validate_datatype(input.type,
self.tosca_tpl.parsed_params[self.input_name],
input.schema)
value = self.tosca_tpl.parsed_params[self.input_name]
if value is not None:
return DataEntity.validate_datatype(
self.tosca_tpl.tpl['inputs'][self.input_name]['type'],
value)
if input and input.type == Schema.ENUM:
return DataEntity.validate_datatype(input.type, input.default, input.schema)
return input.default
def _validate_value(self, value):
tosca = EntityType.TOSCA_DEF
datatype = None
if self.type in tosca:
datatype = tosca[self.type]
elif EntityType.DATATYPE_NETWORK_PREFIX + self.type in tosca:
datatype = tosca[EntityType.DATATYPE_NETWORK_PREFIX + self.type]
schema = self.schema if self.type in (Schema.JSON,
Schema.ENUM) else None
return DataEntity.validate_datatype(self.type, value, schema, datatype)
def _groups(self):
groups = []
member_nodes = None
for group_name, group_tpl in self._tpl_groups().items():
member_names = group_tpl.get('members')
if member_names is not None:
DataEntity.validate_datatype('list', member_names)
if len(member_names) < 1 or \
len(member_names) != len(set(member_names)):
exception.ExceptionCollector.appendException(
exception.InvalidGroupTargetException(
message=_('Member nodes "%s" should be >= 1 '
'and not repeated') % member_names))
else:
member_nodes = self._get_group_members(member_names)
group = Group(group_name, group_tpl,
member_nodes,
self.custom_defs)
groups.append(group)
return groups
def validate_datatype(type, value, entry_schema=None, custom_def=None):
if value:
if (type == Schema.STRING):
return str(value)
elif type == Schema.FLOAT:
try:
return float(value)
except Exception:
ExceptionCollector.appendException(
ValueError(('"%s" is not an float.') % value))
return DataEntity.validate_datatype(type, value, entry_schema,
custom_def)
return value
def validate(self):
'''Validate if not a reference property.'''
if is_function(self.value) is False:
try:
if self.type == Schema.STRING:
self.value = str(self.value)
self.value = DataEntity.validate_datatype(
self.type, self.value, self.entry_schema, self.custom_def,
self.name)
self._validate_constraints()
except Exception as e:
log.error("Property error {}: {}".format(self.name, e))
if exception.ExceptionCollector.collecting is False:
raise e
def _translate_inputs(self):
mano_inputs = []
if 'key_name' in self.parsed_params and 'key_name' not in self.inputs:
name = 'key_name'
type = 'string'
default = self.parsed_params[name]
schema_dict = {'type': type, 'default': default}
input = Input(name, schema_dict)
self.inputs.append(input)
self.log.info(_('Translating TOSCA input type to MANO input type.'))
for input in self.inputs:
mano_default = None
mano_input_type = TOSCA_TO_MANO_INPUT_TYPES[input.type]
if input.name in self.parsed_params:
mano_default = DataEntity.validate_datatype(
input.type, self.parsed_params[input.name])
elif input.default is not None:
mano_default = DataEntity.validate_datatype(
input.type, input.default)
else:
if self.deploy:
msg = _("Need to specify a value "
"for input {0}.").format(input.name)
self.log.error(msg)
raise Exception(msg)
if input.type == "scalar-unit.size":
# Assumption here is to use this scalar-unit.size for size of
# cinder volume in heat templates and will be in GB.
# should add logic to support other types if needed.
input_value = mano_default
mano_default = (ScalarUnit_Size(
mano_default).get_num_from_scalar_unit('GiB'))
if mano_default == 0:
msg = _('Unit value should be > 0.')
self.log.error(msg)
raise Exception(msg)
elif int(mano_default) < mano_default:
mano_default = int(mano_default) + 1
self.log.warning(
_("Cinder unit value should be in"
" multiples of GBs. So corrected"
" %(input_value)s to %(mano_default)s"
" GB.") % {
'input_value': input_value,
'mano_default': mano_default
})
if input.type == 'version':
mano_default = TOSCAVersionProperty(mano_default).get_version()
mano_constraints = []
if input.constraints:
for constraint in input.constraints:
if mano_default:
constraint.validate(mano_default)
hc, hvalue = self._translate_constraints(
constraint.constraint_key, constraint.constraint_value)
mano_constraints.append({hc: hvalue})
mano_inputs.append(
ManoParameter(self.log,
name=input.name,
type=mano_input_type,
description=input.description,
default=mano_default,
constraints=mano_constraints))
return mano_inputs
def _translate_inputs(self):
hot_inputs = []
if 'key_name' in self.parsed_params and 'key_name' not in self.inputs:
name = 'key_name'
type = 'string'
default = self.parsed_params[name]
schema_dict = {'type': type, 'default': default}
input = Input(name, schema_dict)
self.inputs.append(input)
log.info(_('Translating TOSCA input type to HOT input type.'))
for input in self.inputs:
hot_default = None
hot_input_type = TOSCA_TO_HOT_INPUT_TYPES[input.type]
if input.name in self.parsed_params:
hot_default = DataEntity.validate_datatype(
input.type, self.parsed_params[input.name])
elif input.default is not None:
hot_default = DataEntity.validate_datatype(input.type,
input.default)
else:
if self.deploy:
msg = _("Need to specify a value "
"for input {0}.").format(input.name)
log.error(msg)
raise Exception(msg)
if input.type == "scalar-unit.size":
# Assumption here is to use this scalar-unit.size for size of
# cinder volume in heat templates and will be in GB.
# should add logic to support other types if needed.
input_value = hot_default
hot_default = (ScalarUnit_Size(hot_default).
get_num_from_scalar_unit('GiB'))
if hot_default == 0:
msg = _('Unit value should be > 0.')
log.error(msg)
raise Exception(msg)
elif int(hot_default) < hot_default:
hot_default = int(hot_default) + 1
log.warning(_("Cinder unit value should be in multiples"
" of GBs. So corrected %(input_value)s "
"to %(hot_default)s GB.")
% {'input_value': input_value,
'hot_default': hot_default})
if input.type == 'version':
hot_default = TOSCAVersionProperty(hot_default).get_version()
hot_constraints = []
if input.constraints:
for constraint in input.constraints:
if hot_default:
constraint.validate(hot_default)
hc, hvalue = self._translate_constraints(
constraint.constraint_key, constraint.constraint_value)
hot_constraints.append({hc: hvalue})
hot_inputs.append(HotParameter(name=input.name,
type=hot_input_type,
description=input.description,
default=hot_default,
constraints=hot_constraints))
return hot_inputs
