deb-python-tosca-parser/toscaparser/dataentity.py

#    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.

from toscaparser.common.exception import ExceptionCollector
from toscaparser.common.exception import MissingRequiredFieldError
from toscaparser.common.exception import TypeMismatchError
from toscaparser.common.exception import UnknownFieldError
from toscaparser.elements.constraints import Schema
from toscaparser.elements.datatype import DataType
from toscaparser.elements.scalarunit import ScalarUnit_Frequency
from toscaparser.elements.scalarunit import ScalarUnit_Size
from toscaparser.elements.scalarunit import ScalarUnit_Time

from toscaparser.utils.gettextutils import _
from toscaparser.utils import validateutils


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
                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 _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