File: //lib/mysqlsh/lib/python3.8/site-packages/oci/data_science/models/custom_metric_expression_rule.py
# coding: utf-8
# Copyright (c) 2016, 2025, 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 .metric_expression_rule import MetricExpressionRule
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 CustomMetricExpressionRule(MetricExpressionRule):
"""
A custom Monitoring Query Language (MQL) expression for triggering an autoscaling action on the model deployment.
"""
def __init__(self, **kwargs):
"""
Initializes a new CustomMetricExpressionRule object with values from keyword arguments. The default value of the :py:attr:`~oci.data_science.models.CustomMetricExpressionRule.metric_expression_rule_type` attribute
of this class is ``CUSTOM_EXPRESSION`` and it should not be changed.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param metric_expression_rule_type:
The value to assign to the metric_expression_rule_type property of this CustomMetricExpressionRule.
Allowed values for this property are: "PREDEFINED_EXPRESSION", "CUSTOM_EXPRESSION"
:type metric_expression_rule_type: str
:param scale_in_configuration:
The value to assign to the scale_in_configuration property of this CustomMetricExpressionRule.
:type scale_in_configuration: oci.data_science.models.CustomExpressionQueryScalingConfiguration
:param scale_out_configuration:
The value to assign to the scale_out_configuration property of this CustomMetricExpressionRule.
:type scale_out_configuration: oci.data_science.models.CustomExpressionQueryScalingConfiguration
"""
self.swagger_types = {
'metric_expression_rule_type': 'str',
'scale_in_configuration': 'CustomExpressionQueryScalingConfiguration',
'scale_out_configuration': 'CustomExpressionQueryScalingConfiguration'
}
self.attribute_map = {
'metric_expression_rule_type': 'metricExpressionRuleType',
'scale_in_configuration': 'scaleInConfiguration',
'scale_out_configuration': 'scaleOutConfiguration'
}
self._metric_expression_rule_type = None
self._scale_in_configuration = None
self._scale_out_configuration = None
self._metric_expression_rule_type = 'CUSTOM_EXPRESSION'
@property
def scale_in_configuration(self):
"""
**[Required]** Gets the scale_in_configuration of this CustomMetricExpressionRule.
:return: The scale_in_configuration of this CustomMetricExpressionRule.
:rtype: oci.data_science.models.CustomExpressionQueryScalingConfiguration
"""
return self._scale_in_configuration
@scale_in_configuration.setter
def scale_in_configuration(self, scale_in_configuration):
"""
Sets the scale_in_configuration of this CustomMetricExpressionRule.
:param scale_in_configuration: The scale_in_configuration of this CustomMetricExpressionRule.
:type: oci.data_science.models.CustomExpressionQueryScalingConfiguration
"""
self._scale_in_configuration = scale_in_configuration
@property
def scale_out_configuration(self):
"""
**[Required]** Gets the scale_out_configuration of this CustomMetricExpressionRule.
:return: The scale_out_configuration of this CustomMetricExpressionRule.
:rtype: oci.data_science.models.CustomExpressionQueryScalingConfiguration
"""
return self._scale_out_configuration
@scale_out_configuration.setter
def scale_out_configuration(self, scale_out_configuration):
"""
Sets the scale_out_configuration of this CustomMetricExpressionRule.
:param scale_out_configuration: The scale_out_configuration of this CustomMetricExpressionRule.
:type: oci.data_science.models.CustomExpressionQueryScalingConfiguration
"""
self._scale_out_configuration = scale_out_configuration
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