# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from .scaling_trigger_description_py3 import ScalingTriggerDescription
[docs]class AveragePartitionLoadScalingTrigger(ScalingTriggerDescription):
"""Represents a scaling trigger related to an average load of a
metric/resource of a partition.
All required parameters must be populated in order to send to Azure.
:param kind: Required. Constant filled by server.
:type kind: str
:param metric_name: Required. The name of the metric for which usage
should be tracked.
:type metric_name: str
:param lower_load_threshold: Required. The lower limit of the load below
which a scale in operation should be performed.
:type lower_load_threshold: str
:param upper_load_threshold: Required. The upper limit of the load beyond
which a scale out operation should be performed.
:type upper_load_threshold: str
:param scale_interval_in_seconds: Required. The period in seconds on which
a decision is made whether to scale or not.
:type scale_interval_in_seconds: long
"""
_validation = {
'kind': {'required': True},
'metric_name': {'required': True},
'lower_load_threshold': {'required': True},
'upper_load_threshold': {'required': True},
'scale_interval_in_seconds': {'required': True, 'maximum': 4294967295, 'minimum': 0},
}
_attribute_map = {
'kind': {'key': 'Kind', 'type': 'str'},
'metric_name': {'key': 'MetricName', 'type': 'str'},
'lower_load_threshold': {'key': 'LowerLoadThreshold', 'type': 'str'},
'upper_load_threshold': {'key': 'UpperLoadThreshold', 'type': 'str'},
'scale_interval_in_seconds': {'key': 'ScaleIntervalInSeconds', 'type': 'long'},
}
def __init__(self, *, metric_name: str, lower_load_threshold: str, upper_load_threshold: str, scale_interval_in_seconds: int, **kwargs) -> None:
super(AveragePartitionLoadScalingTrigger, self).__init__(**kwargs)
self.metric_name = metric_name
self.lower_load_threshold = lower_load_threshold
self.upper_load_threshold = upper_load_threshold
self.scale_interval_in_seconds = scale_interval_in_seconds
self.kind = 'AveragePartitionLoad'