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Edit: predefined_expression_threshold_scaling_configuration.py
# 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: 20190101 from .scaling_configuration import ScalingConfiguration 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 PredefinedExpressionThresholdScalingConfiguration(ScalingConfiguration): """ The scaling configuration for the predefined metric expression rule. """ def __init__(self, **kwargs): """ Initializes a new PredefinedExpressionThresholdScalingConfiguration object with values from keyword arguments. The default value of the :py:attr:`~oci.data_science.models.PredefinedExpressionThresholdScalingConfiguration.scaling_configuration_type` attribute of this class is ``THRESHOLD`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param scaling_configuration_type: The value to assign to the scaling_configuration_type property of this PredefinedExpressionThresholdScalingConfiguration. Allowed values for this property are: "THRESHOLD", "QUERY", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type scaling_configuration_type: str :param pending_duration: The value to assign to the pending_duration property of this PredefinedExpressionThresholdScalingConfiguration. :type pending_duration: str :param instance_count_adjustment: The value to assign to the instance_count_adjustment property of this PredefinedExpressionThresholdScalingConfiguration. :type instance_count_adjustment: int :param threshold: The value to assign to the threshold property of this PredefinedExpressionThresholdScalingConfiguration. :type threshold: int """ self.swagger_types = { 'scaling_configuration_type': 'str', 'pending_duration': 'str', 'instance_count_adjustment': 'int', 'threshold': 'int' } self.attribute_map = { 'scaling_configuration_type': 'scalingConfigurationType', 'pending_duration': 'pendingDuration', 'instance_count_adjustment': 'instanceCountAdjustment', 'threshold': 'threshold' } self._scaling_configuration_type = None self._pending_duration = None self._instance_count_adjustment = None self._threshold = None self._scaling_configuration_type = 'THRESHOLD' @property def threshold(self): """ **[Required]** Gets the threshold of this PredefinedExpressionThresholdScalingConfiguration. A metric value at which the scaling operation will be triggered. :return: The threshold of this PredefinedExpressionThresholdScalingConfiguration. :rtype: int """ return self._threshold @threshold.setter def threshold(self, threshold): """ Sets the threshold of this PredefinedExpressionThresholdScalingConfiguration. A metric value at which the scaling operation will be triggered. :param threshold: The threshold of this PredefinedExpressionThresholdScalingConfiguration. :type: int """ self._threshold = threshold 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