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# 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 msrest.serialization import Model
class MetricTrigger(Model):
"""The trigger that results in a scaling action.
All required parameters must be populated in order to send to Azure.
:param metric_name: Required. the name of the metric that defines what the
rule monitors.
:type metric_name: str
:param metric_resource_uri: Required. the resource identifier of the
resource the rule monitors.
:type metric_resource_uri: str
:param time_grain: Required. the granularity of metrics the rule monitors.
Must be one of the predefined values returned from metric definitions for
the metric. Must be between 12 hours and 1 minute.
:type time_grain: timedelta
:param statistic: Required. the metric statistic type. How the metrics
from multiple instances are combined. Possible values include: 'Average',
'Min', 'Max', 'Sum'
:type statistic: str or ~azure.mgmt.monitor.models.MetricStatisticType
:param time_window: Required. the range of time in which instance data is
collected. This value must be greater than the delay in metric collection,
which can vary from resource-to-resource. Must be between 12 hours and 5
minutes.
:type time_window: timedelta
:param time_aggregation: Required. time aggregation type. How the data
that is collected should be combined over time. The default value is
Average. Possible values include: 'Average', 'Minimum', 'Maximum',
'Total', 'Count'
:type time_aggregation: str or
~azure.mgmt.monitor.models.TimeAggregationType
:param operator: Required. the operator that is used to compare the metric
data and the threshold. Possible values include: 'Equals', 'NotEquals',
'GreaterThan', 'GreaterThanOrEqual', 'LessThan', 'LessThanOrEqual'
:type operator: str or ~azure.mgmt.monitor.models.ComparisonOperationType
:param threshold: Required. the threshold of the metric that triggers the
scale action.
:type threshold: float
"""
_validation = {
'metric_name': {'required': True},
'metric_resource_uri': {'required': True},
'time_grain': {'required': True},
'statistic': {'required': True},
'time_window': {'required': True},
'time_aggregation': {'required': True},
'operator': {'required': True},
'threshold': {'required': True},
}
_attribute_map = {
'metric_name': {'key': 'metricName', 'type': 'str'},
'metric_resource_uri': {'key': 'metricResourceUri', 'type': 'str'},
'time_grain': {'key': 'timeGrain', 'type': 'duration'},
'statistic': {'key': 'statistic', 'type': 'MetricStatisticType'},
'time_window': {'key': 'timeWindow', 'type': 'duration'},
'time_aggregation': {'key': 'timeAggregation', 'type': 'TimeAggregationType'},
'operator': {'key': 'operator', 'type': 'ComparisonOperationType'},
'threshold': {'key': 'threshold', 'type': 'float'},
}
def __init__(self, **kwargs):
super(MetricTrigger, self).__init__(**kwargs)
self.metric_name = kwargs.get('metric_name', None)
self.metric_resource_uri = kwargs.get('metric_resource_uri', None)
self.time_grain = kwargs.get('time_grain', None)
self.statistic = kwargs.get('statistic', None)
self.time_window = kwargs.get('time_window', None)
self.time_aggregation = kwargs.get('time_aggregation', None)
self.operator = kwargs.get('operator', None)
self.threshold = kwargs.get('threshold', None)
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