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# coding: utf-8 # Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20221001 from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class BatchDetectLanguageSentimentsDetails(object): """ The documents details for sentiment call. """ def __init__(self, **kwargs): """ Initializes a new BatchDetectLanguageSentimentsDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param endpoint_id: The value to assign to the endpoint_id property of this BatchDetectLanguageSentimentsDetails. :type endpoint_id: str :param compartment_id: The value to assign to the compartment_id property of this BatchDetectLanguageSentimentsDetails. :type compartment_id: str :param documents: The value to assign to the documents property of this BatchDetectLanguageSentimentsDetails. :type documents: list[oci.ai_language.models.TextDocument] """ self.swagger_types = { 'endpoint_id': 'str', 'compartment_id': 'str', 'documents': 'list[TextDocument]' } self.attribute_map = { 'endpoint_id': 'endpointId', 'compartment_id': 'compartmentId', 'documents': 'documents' } self._endpoint_id = None self._compartment_id = None self._documents = None @property def endpoint_id(self): """ Gets the endpoint_id of this BatchDetectLanguageSentimentsDetails. The endpoint which have to be used for inferencing. If endpointId and compartmentId is provided, then inference will be served from custom model which is mapped to this Endpoint. :return: The endpoint_id of this BatchDetectLanguageSentimentsDetails. :rtype: str """ return self._endpoint_id @endpoint_id.setter def endpoint_id(self, endpoint_id): """ Sets the endpoint_id of this BatchDetectLanguageSentimentsDetails. The endpoint which have to be used for inferencing. If endpointId and compartmentId is provided, then inference will be served from custom model which is mapped to this Endpoint. :param endpoint_id: The endpoint_id of this BatchDetectLanguageSentimentsDetails. :type: str """ self._endpoint_id = endpoint_id @property def compartment_id(self): """ Gets the compartment_id of this BatchDetectLanguageSentimentsDetails. The `OCID`__ of the compartment that calls the API, inference will be served from pre trained model __ https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm :return: The compartment_id of this BatchDetectLanguageSentimentsDetails. :rtype: str """ return self._compartment_id @compartment_id.setter def compartment_id(self, compartment_id): """ Sets the compartment_id of this BatchDetectLanguageSentimentsDetails. The `OCID`__ of the compartment that calls the API, inference will be served from pre trained model __ https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm :param compartment_id: The compartment_id of this BatchDetectLanguageSentimentsDetails. :type: str """ self._compartment_id = compartment_id @property def documents(self): """ **[Required]** Gets the documents of this BatchDetectLanguageSentimentsDetails. List of Documents for detect sentiments. :return: The documents of this BatchDetectLanguageSentimentsDetails. :rtype: list[oci.ai_language.models.TextDocument] """ return self._documents @documents.setter def documents(self, documents): """ Sets the documents of this BatchDetectLanguageSentimentsDetails. List of Documents for detect sentiments. :param documents: The documents of this BatchDetectLanguageSentimentsDetails. :type: list[oci.ai_language.models.TextDocument] """ self._documents = documents def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other
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