# coding: utf-8 """ vod20250101 No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: common-version Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six from volcenginesdkcore.configuration import Configuration class CreateAITermbaseRequest(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'description': 'str', 'name': 'str', 'scenario': 'str', 'source_language': 'str', 'space_name': 'str', 'target_language': 'str' } attribute_map = { 'description': 'Description', 'name': 'Name', 'scenario': 'Scenario', 'source_language': 'SourceLanguage', 'space_name': 'SpaceName', 'target_language': 'TargetLanguage' } def __init__(self, description=None, name=None, scenario=None, source_language=None, space_name=None, target_language=None, _configuration=None): # noqa: E501 """CreateAITermbaseRequest - a model defined in Swagger""" # noqa: E501 if _configuration is None: _configuration = Configuration() self._configuration = _configuration self._description = None self._name = None self._scenario = None self._source_language = None self._space_name = None self._target_language = None self.discriminator = None if description is not None: self.description = description self.name = name self.scenario = scenario self.source_language = source_language self.space_name = space_name if target_language is not None: self.target_language = target_language @property def description(self): """Gets the description of this CreateAITermbaseRequest. # noqa: E501 :return: The description of this CreateAITermbaseRequest. # noqa: E501 :rtype: str """ return self._description @description.setter def description(self, description): """Sets the description of this CreateAITermbaseRequest. :param description: The description of this CreateAITermbaseRequest. # noqa: E501 :type: str """ self._description = description @property def name(self): """Gets the name of this CreateAITermbaseRequest. # noqa: E501 :return: The name of this CreateAITermbaseRequest. # noqa: E501 :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this CreateAITermbaseRequest. :param name: The name of this CreateAITermbaseRequest. # noqa: E501 :type: str """ if self._configuration.client_side_validation and name is None: raise ValueError("Invalid value for `name`, must not be `None`") # noqa: E501 self._name = name @property def scenario(self): """Gets the scenario of this CreateAITermbaseRequest. # noqa: E501 :return: The scenario of this CreateAITermbaseRequest. # noqa: E501 :rtype: str """ return self._scenario @scenario.setter def scenario(self, scenario): """Sets the scenario of this CreateAITermbaseRequest. :param scenario: The scenario of this CreateAITermbaseRequest. # noqa: E501 :type: str """ if self._configuration.client_side_validation and scenario is None: raise ValueError("Invalid value for `scenario`, must not be `None`") # noqa: E501 self._scenario = scenario @property def source_language(self): """Gets the source_language of this CreateAITermbaseRequest. # noqa: E501 :return: The source_language of this CreateAITermbaseRequest. # noqa: E501 :rtype: str """ return self._source_language @source_language.setter def source_language(self, source_language): """Sets the source_language of this CreateAITermbaseRequest. :param source_language: The source_language of this CreateAITermbaseRequest. # noqa: E501 :type: str """ if self._configuration.client_side_validation and source_language is None: raise ValueError("Invalid value for `source_language`, must not be `None`") # noqa: E501 self._source_language = source_language @property def space_name(self): """Gets the space_name of this CreateAITermbaseRequest. # noqa: E501 :return: The space_name of this CreateAITermbaseRequest. # noqa: E501 :rtype: str """ return self._space_name @space_name.setter def space_name(self, space_name): """Sets the space_name of this CreateAITermbaseRequest. :param space_name: The space_name of this CreateAITermbaseRequest. # noqa: E501 :type: str """ if self._configuration.client_side_validation and space_name is None: raise ValueError("Invalid value for `space_name`, must not be `None`") # noqa: E501 self._space_name = space_name @property def target_language(self): """Gets the target_language of this CreateAITermbaseRequest. # noqa: E501 :return: The target_language of this CreateAITermbaseRequest. # noqa: E501 :rtype: str """ return self._target_language @target_language.setter def target_language(self, target_language): """Sets the target_language of this CreateAITermbaseRequest. :param target_language: The target_language of this CreateAITermbaseRequest. # noqa: E501 :type: str """ self._target_language = target_language def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(CreateAITermbaseRequest, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, CreateAITermbaseRequest): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, CreateAITermbaseRequest): return True return self.to_dict() != other.to_dict()