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# coding: utf-8 # Copyright (c) 2016, 2026, 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: 20200407 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 IcebergStorageSummary(object): """ Summary of the storage of given type used in an Iceberg connection. """ #: A constant which can be used with the storage_type property of a IcebergStorageSummary. #: This constant has a value of "AMAZON_S3" STORAGE_TYPE_AMAZON_S3 = "AMAZON_S3" #: A constant which can be used with the storage_type property of a IcebergStorageSummary. #: This constant has a value of "GOOGLE_CLOUD_STORAGE" STORAGE_TYPE_GOOGLE_CLOUD_STORAGE = "GOOGLE_CLOUD_STORAGE" #: A constant which can be used with the storage_type property of a IcebergStorageSummary. #: This constant has a value of "AZURE_DATA_LAKE_STORAGE" STORAGE_TYPE_AZURE_DATA_LAKE_STORAGE = "AZURE_DATA_LAKE_STORAGE" def __init__(self, **kwargs): """ Initializes a new IcebergStorageSummary object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class: * :class:`~oci.golden_gate.models.GoogleCloudStorageIcebergStorageSummary` * :class:`~oci.golden_gate.models.AzureDataLakeStorageIcebergStorageSummary` * :class:`~oci.golden_gate.models.AmazonS3IcebergStorageSummary` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param storage_type: The value to assign to the storage_type property of this IcebergStorageSummary. Allowed values for this property are: "AMAZON_S3", "GOOGLE_CLOUD_STORAGE", "AZURE_DATA_LAKE_STORAGE", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type storage_type: str """ self.swagger_types = { 'storage_type': 'str' } self.attribute_map = { 'storage_type': 'storageType' } self._storage_type = None @staticmethod def get_subtype(object_dictionary): """ Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype. """ type = object_dictionary['storageType'] if type == 'GOOGLE_CLOUD_STORAGE': return 'GoogleCloudStorageIcebergStorageSummary' if type == 'AZURE_DATA_LAKE_STORAGE': return 'AzureDataLakeStorageIcebergStorageSummary' if type == 'AMAZON_S3': return 'AmazonS3IcebergStorageSummary' else: return 'IcebergStorageSummary' @property def storage_type(self): """ **[Required]** Gets the storage_type of this IcebergStorageSummary. The storage type used in the Iceberg connection. Allowed values for this property are: "AMAZON_S3", "GOOGLE_CLOUD_STORAGE", "AZURE_DATA_LAKE_STORAGE", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The storage_type of this IcebergStorageSummary. :rtype: str """ return self._storage_type @storage_type.setter def storage_type(self, storage_type): """ Sets the storage_type of this IcebergStorageSummary. The storage type used in the Iceberg connection. :param storage_type: The storage_type of this IcebergStorageSummary. :type: str """ allowed_values = ["AMAZON_S3", "GOOGLE_CLOUD_STORAGE", "AZURE_DATA_LAKE_STORAGE"] if not value_allowed_none_or_none_sentinel(storage_type, allowed_values): storage_type = 'UNKNOWN_ENUM_VALUE' self._storage_type = storage_type 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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