Example #1
0
 def _validate_input(self):
     for key, value in self.get_condition().items():
         if key in [GRANULARITY, EVALUATIONS]:
             validateutils.validate_integer(value)
         elif key == THRESHOLD:
             validateutils.validate_numeric(value)
         elif key in [METRIC, AGGREGATION_METHOD]:
             validateutils.validate_string(value)
Example #2
0
 def _validate_input(self):
     for key, value in self.get_condition().items():
         if key in [PERIOD, EVALUATIONS]:
             validateutils.validate_integer(value)
         elif key == THRESHOLD:
             validateutils.validate_numeric(value)
         elif key in [METER_NAME, METHOD]:
             validateutils.validate_string(value)
Example #3
0
    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
Example #4
0
    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:
            log.debug("Validate data {}: {}, def={}".format(
                type, value, custom_def))
            data = DataEntity(type, value, custom_def)
            return data.validate()
Example #5
0
    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()
Example #6
0
    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.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
        else:
            data = DataEntity(type, value, custom_def)
            return data.validate()
Example #7
0
    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()