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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: 20201101 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 ExadataFleetMetricSummaryDefinition(object): """ A summary of the fleet metrics, which provides the metric aggregated value of the Exadata infrastructures in the fleet. """ def __init__(self, **kwargs): """ Initializes a new ExadataFleetMetricSummaryDefinition object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param metric_name: The value to assign to the metric_name property of this ExadataFleetMetricSummaryDefinition. :type metric_name: str :param baseline_value: The value to assign to the baseline_value property of this ExadataFleetMetricSummaryDefinition. :type baseline_value: float :param target_value: The value to assign to the target_value property of this ExadataFleetMetricSummaryDefinition. :type target_value: float :param unit: The value to assign to the unit property of this ExadataFleetMetricSummaryDefinition. :type unit: str :param percentage_change: The value to assign to the percentage_change property of this ExadataFleetMetricSummaryDefinition. :type percentage_change: float :param dimensions: The value to assign to the dimensions property of this ExadataFleetMetricSummaryDefinition. :type dimensions: list[oci.database_management.models.ExadataMetricDimensionDefinition] """ self.swagger_types = { 'metric_name': 'str', 'baseline_value': 'float', 'target_value': 'float', 'unit': 'str', 'percentage_change': 'float', 'dimensions': 'list[ExadataMetricDimensionDefinition]' } self.attribute_map = { 'metric_name': 'metricName', 'baseline_value': 'baselineValue', 'target_value': 'targetValue', 'unit': 'unit', 'percentage_change': 'percentageChange', 'dimensions': 'dimensions' } self._metric_name = None self._baseline_value = None self._target_value = None self._unit = None self._percentage_change = None self._dimensions = None @property def metric_name(self): """ Gets the metric_name of this ExadataFleetMetricSummaryDefinition. The name of the metric. :return: The metric_name of this ExadataFleetMetricSummaryDefinition. :rtype: str """ return self._metric_name @metric_name.setter def metric_name(self, metric_name): """ Sets the metric_name of this ExadataFleetMetricSummaryDefinition. The name of the metric. :param metric_name: The metric_name of this ExadataFleetMetricSummaryDefinition. :type: str """ self._metric_name = metric_name @property def baseline_value(self): """ Gets the baseline_value of this ExadataFleetMetricSummaryDefinition. The metric aggregated value at the baseline date and time. :return: The baseline_value of this ExadataFleetMetricSummaryDefinition. :rtype: float """ return self._baseline_value @baseline_value.setter def baseline_value(self, baseline_value): """ Sets the baseline_value of this ExadataFleetMetricSummaryDefinition. The metric aggregated value at the baseline date and time. :param baseline_value: The baseline_value of this ExadataFleetMetricSummaryDefinition. :type: float """ self._baseline_value = baseline_value @property def target_value(self): """ Gets the target_value of this ExadataFleetMetricSummaryDefinition. The metric aggregated value at the target date and time. :return: The target_value of this ExadataFleetMetricSummaryDefinition. :rtype: float """ return self._target_value @target_value.setter def target_value(self, target_value): """ Sets the target_value of this ExadataFleetMetricSummaryDefinition. The metric aggregated value at the target date and time. :param target_value: The target_value of this ExadataFleetMetricSummaryDefinition. :type: float """ self._target_value = target_value @property def unit(self): """ Gets the unit of this ExadataFleetMetricSummaryDefinition. The unit of the value. :return: The unit of this ExadataFleetMetricSummaryDefinition. :rtype: str """ return self._unit @unit.setter def unit(self, unit): """ Sets the unit of this ExadataFleetMetricSummaryDefinition. The unit of the value. :param unit: The unit of this ExadataFleetMetricSummaryDefinition. :type: str """ self._unit = unit @property def percentage_change(self): """ Gets the percentage_change of this ExadataFleetMetricSummaryDefinition. The percentage change in the metric aggregated value compared to the baseline value. :return: The percentage_change of this ExadataFleetMetricSummaryDefinition. :rtype: float """ return self._percentage_change @percentage_change.setter def percentage_change(self, percentage_change): """ Sets the percentage_change of this ExadataFleetMetricSummaryDefinition. The percentage change in the metric aggregated value compared to the baseline value. :param percentage_change: The percentage_change of this ExadataFleetMetricSummaryDefinition. :type: float """ self._percentage_change = percentage_change @property def dimensions(self): """ Gets the dimensions of this ExadataFleetMetricSummaryDefinition. The unique dimension key and values of the baseline metric. :return: The dimensions of this ExadataFleetMetricSummaryDefinition. :rtype: list[oci.database_management.models.ExadataMetricDimensionDefinition] """ return self._dimensions @dimensions.setter def dimensions(self, dimensions): """ Sets the dimensions of this ExadataFleetMetricSummaryDefinition. The unique dimension key and values of the baseline metric. :param dimensions: The dimensions of this ExadataFleetMetricSummaryDefinition. :type: list[oci.database_management.models.ExadataMetricDimensionDefinition] """ self._dimensions = dimensions 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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