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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: 20200630 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 ExadataInsightResourceForecastTrendSummary(object): """ List of resource id, name , capacity insight value, pattern, historical usage and projected data. """ #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "LINEAR" PATTERN_LINEAR = "LINEAR" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "MONTHLY_SEASONS" PATTERN_MONTHLY_SEASONS = "MONTHLY_SEASONS" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "MONTHLY_AND_YEARLY_SEASONS" PATTERN_MONTHLY_AND_YEARLY_SEASONS = "MONTHLY_AND_YEARLY_SEASONS" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "WEEKLY_SEASONS" PATTERN_WEEKLY_SEASONS = "WEEKLY_SEASONS" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "WEEKLY_AND_MONTHLY_SEASONS" PATTERN_WEEKLY_AND_MONTHLY_SEASONS = "WEEKLY_AND_MONTHLY_SEASONS" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "WEEKLY_MONTHLY_AND_YEARLY_SEASONS" PATTERN_WEEKLY_MONTHLY_AND_YEARLY_SEASONS = "WEEKLY_MONTHLY_AND_YEARLY_SEASONS" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "WEEKLY_AND_YEARLY_SEASONS" PATTERN_WEEKLY_AND_YEARLY_SEASONS = "WEEKLY_AND_YEARLY_SEASONS" #: A constant which can be used with the pattern property of a ExadataInsightResourceForecastTrendSummary. #: This constant has a value of "YEARLY_SEASONS" PATTERN_YEARLY_SEASONS = "YEARLY_SEASONS" def __init__(self, kwargs): """ Initializes a new ExadataInsightResourceForecastTrendSummary object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param id: The value to assign to the id property of this ExadataInsightResourceForecastTrendSummary. :type id: str :param name: The value to assign to the name property of this ExadataInsightResourceForecastTrendSummary. :type name: str :param days_to_reach_capacity: The value to assign to the days_to_reach_capacity property of this ExadataInsightResourceForecastTrendSummary. :type days_to_reach_capacity: int :param selected_forecast_algorithm: The value to assign to the selected_forecast_algorithm property of this ExadataInsightResourceForecastTrendSummary. :type selected_forecast_algorithm: str :param pattern: The value to assign to the pattern property of this ExadataInsightResourceForecastTrendSummary. Allowed values for this property are: "LINEAR", "MONTHLY_SEASONS", "MONTHLY_AND_YEARLY_SEASONS", "WEEKLY_SEASONS", "WEEKLY_AND_MONTHLY_SEASONS", "WEEKLY_MONTHLY_AND_YEARLY_SEASONS", "WEEKLY_AND_YEARLY_SEASONS", "YEARLY_SEASONS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type pattern: str :param historical_data: The value to assign to the historical_data property of this ExadataInsightResourceForecastTrendSummary. :type historical_data: list[oci.opsi.models.HistoricalDataItem] :param projected_data: The value to assign to the projected_data property of this ExadataInsightResourceForecastTrendSummary. :type projected_data: list[oci.opsi.models.ProjectedDataItem] """ self.swagger_types = { 'id': 'str', 'name': 'str', 'days_to_reach_capacity': 'int', 'selected_forecast_algorithm': 'str', 'pattern': 'str', 'historical_data': 'list[HistoricalDataItem]', 'projected_data': 'list[ProjectedDataItem]' } self.attribute_map = { 'id': 'id', 'name': 'name', 'days_to_reach_capacity': 'daysToReachCapacity', 'selected_forecast_algorithm': 'selectedForecastAlgorithm', 'pattern': 'pattern', 'historical_data': 'historicalData', 'projected_data': 'projectedData' } self._id = None self._name = None self._days_to_reach_capacity = None self._selected_forecast_algorithm = None self._pattern = None self._historical_data = None self._projected_data = None @property def id(self): """ [Required] Gets the id of this ExadataInsightResourceForecastTrendSummary. The `OCID`__ of the database insight resource. __ https://docs.oracle.com/iaas/Content/General/Concepts/identifiers.htm :return: The id of this ExadataInsightResourceForecastTrendSummary. :rtype: str """ return self._id @id.setter def id(self, id): """ Sets the id of this ExadataInsightResourceForecastTrendSummary. The `OCID`__ of the database insight resource. __ https://docs.oracle.com/iaas/Content/General/Concepts/identifiers.htm :param id: The id of this ExadataInsightResourceForecastTrendSummary. :type: str """ self._id = id @property def name(self): """ [Required] Gets the name of this ExadataInsightResourceForecastTrendSummary. The name of the resource. :return: The name of this ExadataInsightResourceForecastTrendSummary. :rtype: str """ return self._name @name.setter def name(self, name): """ Sets the name of this ExadataInsightResourceForecastTrendSummary. The name of the resource. :param name: The name of this ExadataInsightResourceForecastTrendSummary. :type: str """ self._name = name @property def days_to_reach_capacity(self): """ [Required] Gets the days_to_reach_capacity of this ExadataInsightResourceForecastTrendSummary. Days to reach capacity for a storage server :return: The days_to_reach_capacity of this ExadataInsightResourceForecastTrendSummary. :rtype: int """ return self._days_to_reach_capacity @days_to_reach_capacity.setter def days_to_reach_capacity(self, days_to_reach_capacity): """ Sets the days_to_reach_capacity of this ExadataInsightResourceForecastTrendSummary. Days to reach capacity for a storage server :param days_to_reach_capacity: The days_to_reach_capacity of this ExadataInsightResourceForecastTrendSummary. :type: int """ self._days_to_reach_capacity = days_to_reach_capacity @property def selected_forecast_algorithm(self): """ Gets the selected_forecast_algorithm of this ExadataInsightResourceForecastTrendSummary. Auto-ML algorithm leveraged for the forecast. Only applicable for Auto-ML forecast. :return: The selected_forecast_algorithm of this ExadataInsightResourceForecastTrendSummary. :rtype: str """ return self._selected_forecast_algorithm @selected_forecast_algorithm.setter def selected_forecast_algorithm(self, selected_forecast_algorithm): """ Sets the selected_forecast_algorithm of this ExadataInsightResourceForecastTrendSummary. Auto-ML algorithm leveraged for the forecast. Only applicable for Auto-ML forecast. :param selected_forecast_algorithm: The selected_forecast_algorithm of this ExadataInsightResourceForecastTrendSummary. :type: str """ self._selected_forecast_algorithm = selected_forecast_algorithm @property def pattern(self): """ [Required] Gets the pattern of this ExadataInsightResourceForecastTrendSummary. Time series patterns used in the forecasting. Allowed values for this property are: "LINEAR", "MONTHLY_SEASONS", "MONTHLY_AND_YEARLY_SEASONS", "WEEKLY_SEASONS", "WEEKLY_AND_MONTHLY_SEASONS", "WEEKLY_MONTHLY_AND_YEARLY_SEASONS", "WEEKLY_AND_YEARLY_SEASONS", "YEARLY_SEASONS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The pattern of this ExadataInsightResourceForecastTrendSummary. :rtype: str """ return self._pattern @pattern.setter def pattern(self, pattern): """ Sets the pattern of this ExadataInsightResourceForecastTrendSummary. Time series patterns used in the forecasting. :param pattern: The pattern of this ExadataInsightResourceForecastTrendSummary. :type: str """ allowed_values = ["LINEAR", "MONTHLY_SEASONS", "MONTHLY_AND_YEARLY_SEASONS", "WEEKLY_SEASONS", "WEEKLY_AND_MONTHLY_SEASONS", "WEEKLY_MONTHLY_AND_YEARLY_SEASONS", "WEEKLY_AND_YEARLY_SEASONS", "YEARLY_SEASONS"] if not value_allowed_none_or_none_sentinel(pattern, allowed_values): pattern = 'UNKNOWN_ENUM_VALUE' self._pattern = pattern @property def historical_data(self): """ [Required] Gets the historical_data of this ExadataInsightResourceForecastTrendSummary. Time series data used for the forecast analysis. :return: The historical_data of this ExadataInsightResourceForecastTrendSummary. :rtype: list[oci.opsi.models.HistoricalDataItem] """ return self._historical_data @historical_data.setter def historical_data(self, historical_data): """ Sets the historical_data of this ExadataInsightResourceForecastTrendSummary. Time series data used for the forecast analysis. :param historical_data: The historical_data of this ExadataInsightResourceForecastTrendSummary. :type: list[oci.opsi.models.HistoricalDataItem] """ self._historical_data = historical_data @property def projected_data(self): """ [Required]** Gets the projected_data of this ExadataInsightResourceForecastTrendSummary. Time series data result of the forecasting analysis. :return: The projected_data of this ExadataInsightResourceForecastTrendSummary. :rtype: list[oci.opsi.models.ProjectedDataItem] """ return self._projected_data @projected_data.setter def projected_data(self, projected_data): """ Sets the projected_data of this ExadataInsightResourceForecastTrendSummary. Time series data result of the forecasting analysis. :param projected_data: The projected_data of this ExadataInsightResourceForecastTrendSummary. :type: list[oci.opsi.models.ProjectedDataItem] """ self._projected_data = projected_data 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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