Source code for azure.mgmt.monitor.models.threshold_rule_condition_py3

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from .rule_condition_py3 import RuleCondition


[docs]class ThresholdRuleCondition(RuleCondition): """A rule condition based on a metric crossing a threshold. All required parameters must be populated in order to send to Azure. :param data_source: the resource from which the rule collects its data. For this type dataSource will always be of type RuleMetricDataSource. :type data_source: ~azure.mgmt.monitor.models.RuleDataSource :param odatatype: Required. Constant filled by server. :type odatatype: str :param operator: Required. the operator used to compare the data and the threshold. Possible values include: 'GreaterThan', 'GreaterThanOrEqual', 'LessThan', 'LessThanOrEqual' :type operator: str or ~azure.mgmt.monitor.models.ConditionOperator :param threshold: Required. the threshold value that activates the alert. :type threshold: float :param window_size: the period of time (in ISO 8601 duration format) that is used to monitor alert activity based on the threshold. If specified then it must be between 5 minutes and 1 day. :type window_size: timedelta :param time_aggregation: the time aggregation operator. How the data that are collected should be combined over time. The default value is the PrimaryAggregationType of the Metric. Possible values include: 'Average', 'Minimum', 'Maximum', 'Total', 'Last' :type time_aggregation: str or ~azure.mgmt.monitor.models.TimeAggregationOperator """ _validation = { 'odatatype': {'required': True}, 'operator': {'required': True}, 'threshold': {'required': True}, } _attribute_map = { 'data_source': {'key': 'dataSource', 'type': 'RuleDataSource'}, 'odatatype': {'key': 'odata\\.type', 'type': 'str'}, 'operator': {'key': 'operator', 'type': 'ConditionOperator'}, 'threshold': {'key': 'threshold', 'type': 'float'}, 'window_size': {'key': 'windowSize', 'type': 'duration'}, 'time_aggregation': {'key': 'timeAggregation', 'type': 'TimeAggregationOperator'}, } def __init__(self, *, operator, threshold: float, data_source=None, window_size=None, time_aggregation=None, **kwargs) -> None: super(ThresholdRuleCondition, self).__init__(data_source=data_source, **kwargs) self.operator = operator self.threshold = threshold self.window_size = window_size self.time_aggregation = time_aggregation self.odatatype = 'Microsoft.Azure.Management.Insights.Models.ThresholdRuleCondition'