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-rw-r--r--tosca2heat/tosca-parser-0.3.0/toscaparser/dataentity.py163
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diff --git a/tosca2heat/tosca-parser-0.3.0/toscaparser/dataentity.py b/tosca2heat/tosca-parser-0.3.0/toscaparser/dataentity.py
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+++ b/tosca2heat/tosca-parser-0.3.0/toscaparser/dataentity.py
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+# 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